Next Article in Journal
An Exploratory Study on the Effects of Souchard Postural Gymnastics in Parkinson’s Disease Patients with Camptocormia: A Quasi-Experimental Approach
Next Article in Special Issue
The Association Between the Perception of Exercise Benefits and Barriers and Exercise Self-Efficacy During the Induction Phase of Dialysis in Patients with End-Stage Kidney Disease: A Cross-Sectional Study
Previous Article in Journal
The Potential Benefit of a Novel Urine Biosensor Platform for Lung Cancer Detection in the Decision-Making Process: From the Bench to the Bedside
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Perspective

Hemoincompatibility in Hemodialysis-Related Therapies and Their Health Economic Perspectives

by
Carsten Hornig
1,
Sudhir K. Bowry
2,
Fatih Kircelli
3,
Dana Kendzia
1,
Christian Apel
1 and
Bernard Canaud
4,5,*
1
Fresenius Medical Care Deutschland GmbH, Global Market Access and Health Economics, Else-Kröner-Straße 1, 61352 Bad Homburg, Germany
2
Dialysis-at-Crossroads (D@X) Advisory, Wilhelmstraße 9, 61231 Bad Nauheim, Germany
3
Fresenius Medical Care Deutschland GmbH, Global Medical Office, Else-Kröner-Straße 1, 61352 Bad Homburg, Germany
4
School of Medicine, Montpellier University, 34090 Montpellier, France
5
MTX Consulting, 34090 Montpellier, France
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(20), 6165; https://doi.org/10.3390/jcm13206165
Submission received: 11 September 2024 / Revised: 8 October 2024 / Accepted: 14 October 2024 / Published: 16 October 2024
(This article belongs to the Special Issue Chronic Kidney Disease: Clinical Challenges and Management)

Abstract

:
Hemobiologic reactions associated with the hemoincompatibility of extracorporeal circuit material are an undesirable and inevitable consequence of all blood-contacting medical devices, typically considered only from a clinical perspective. In hemodialysis (HD), the blood of patients undergoes repetitive (at least thrice weekly for 4 h and lifelong) exposure to different polymeric materials that activate plasmatic pathways and blood cells. There is a general agreement that hemoincompatibility reactions, although unavoidable during extracorporeal therapies, are unphysiological contributors to non-hemodynamic dialysis-induced systemic stress and need to be curtailed. Strategies to lessen the periodic and direct effects of blood interacting with artificial surfaces to stimulate numerous biological pathways have focused mainly on the development of ‘more passive’ materials to decrease intradialytic morbidity. The indirect implications of this phenomenon, such as its impact on the overall delivery of care, have not been considered in detail. In this article, we explore, for the first time, the potential clinical and economic consequences of hemoincompatibility from a value-based healthcare (VBHC) perspective. As the fundamental tenet of VBHC is achieving the best clinical outcomes at the lowest cost, we examine the equation from the individual perspectives of the three key stakeholders of the dialysis care delivery processes: the patient, the provider, and the payer. For the patient, sub-optimal therapy caused by hemoincompatibility results in poor quality of life and various dialysis-associated conditions involving cost-impacting adjustments to lifestyles. For the provider, the decrease in income is attributed to factors such as an increase in workload and use of resources, dissatisfaction of the patient from the services provided, loss of reimbursement and direct revenue, or an increase in doctor–nurse turnover due to the complexity of managing care (nephrology encounters a chronic workforce shortage). The payer and healthcare system incur additional costs, e.g., increased hospitalization rates, including intensive care unit admissions, and increased medications and diagnostics to counteract adverse events and complications. Thus, hemoincompatibility reactions may be relevant from a socioeconomic perspective and may need to be addressed beyond just its clinical relevance to streamline the delivery of HD in terms of payability, future sustainability, and societal repercussions. Strategies to mitigate the economic impact and address the cost-effectiveness of the hemoincompatibility of extracorporeal kidney replacement therapy are proposed to conclude this comprehensive approach.

1. Introduction

Hemodialysis is a lifesaving therapy that is recognized as the primary line of treatment in the management of end-stage kidney disease (ESKD) patients, and is daily used by over 3 million patients worldwide [1,2,3]. However, as an active and intrusive therapy, hemodialysis carries inherent hazards, including adverse events, side effects, and complications, that contribute to the overall disease and therapeutic burden faced by ESKD patients [4,5,6]. Among these hazards, hemoincompatibility, a marker of adverse reactions between the patient’s and dialysis components, plays a significant role in altering patient outcomes and increasing healthcare costs depending on the dialyzer of choice [7,8,9,10,11,12]. Despite this established link, the health economic consequences of hemoincompatibility in hemodialysis or hemodialysis-related therapies (i.e., hemodiafiltration) remain unexplored.
In this narrative essay, we aim to briefly review the mechanisms of hemoincompati-bility from a pathophysiological perspective, analyze the clinical outcomes and health-related complications associated with hemoincompatibility, assess the economic burden of hemocompatibility on the healthcare system, delineate strategies to mitigate the occurrence of hemoincompatibility, and provide a brief and practical conclusion.

2. Understanding Hemoincompatibility and Their Mechanisms

Hemoincompatibility, or more broadly bioincompatibility, refers to a range of adverse biological reactions that occur when blood interacts with the extracorporeal circuit of a hemodialysis treatment, reflecting the bioreactor properties of the dialyzer (Figure 1) [10,13,14,15]. These reactions, initiated by contact with extracorporeal foreign material (such as needles, tubing lines, dialyzers, and bubble traps), include the activation of various protein cascade systems (such as clotting, complement, and kallikrein–kinin) [16,17]. Additionally, there is an activation of circulating cells (such as leukocytes, platelets, lymphocytes, and erythrocytes) or immobilized cells (such as endothelial cells), which may release various soluble mediators (such as enzymes, cytokines, and reactive oxygen species). These mediators contribute to the enhancement, propagation, and systemic extension of these biological reactions through various amplification loops, ultimately inducing end organ damage and contributing to clinical or subclinical reactions [10,18,19].
More importantly, it has been evidenced that microbial contaminants of dialysate (such as endotoxins) or chemical components (such as acetate) contribute to enhance these hemobiologic reactions [20]. The endotoxin retention capacities of the dialyzers used will help limit this interaction, thereby reducing the burden. As this phenomenon follows repeated cycles of intermittent hemodialysis, typically three times weekly or more frequently, hemoincompatibility reactions tend to be sustained over time. This contributes to maintaining a subclinical inflammatory state, recognized as a significant contributor to non-hemodynamically induced systemic stress in dialysis patients, leading to various end organ damages [17,21,22]. This is briefly schematized in Figure 1.
More specifically, the next section will briefly detail these hemobiologic reactions schematically, along with their time course of occurrence:

2.1. Contact Phase and Protein Deposition

In the contact phase activation of blood with artificial surfaces, protein adsorption is the initial event, occurring almost immediately and covering the surface within seconds (Figure 2) [23]. This adsorbed protein layer influences subsequent interactions and alterations of blood components. The material’s surface chemistry and properties, such as hydrophobicity, charge, and nanostructures, affect which proteins adsorb and how they behave [16]. These properties, combined with thermodynamic forces and kinetics, determine the conformation and stability of protein adsorption [19,24]. In hemodialysis (HD), early unmodified cellulosic membranes benefit from protein adsorption, which passivates the surface, reducing adverse reactions. However, with the advent of more biocompatible or surface-modified synthetic membranes, such passivation is no longer necessary [19]. Some dialysis membranes adsorb more proteins, which may be beneficial for uremic toxin removal (i.e., ß2M, Protein Bound Uremic Toxins), but this does not necessarily enhance hemocompatibility. High levels of protein adsorption can hinder solute removal during HD or more importantly in convective-based therapies (i.e., HDF). Recent findings suggest that stable solute clearance is achievable throughout HD/HDF therapy, contrary to the usual performance decline due to protein build-up on the membrane.

2.2. Activation of the Clotting System, Including Platelet Activation

The activation of the clotting cascade in extracorporeal circuits is the first visible sign of system hemoincompatibility [25,26]. The main pathways initiating blood coagulation are the tissue factor and contact (factor XII) activation pathways, which activate factor X to Xa, leading to thrombin formation and ultimately fibrin production. This process then comes with the conversion of fibrinogen to fibrin by thrombin, representing the final step of these series of reactions. In blood-contacting extracorporeal circuits, contact activation is critical, as different materials trigger biological pathways differently. Surface parameters such as chemistry, energy, and wettability influence the initial contact activation of coagulation. Research has focused on factor XII-dependent initiation of coagulation by various dialysis membranes to develop those with reduced coagulation potential. Heparin (unfractionated or fractionated) is currently the most widely used agent to inhibit the coagulation cascade but does not fully prevent the generation of thrombin–antithrombin III complexes, prothrombin F1+2, and D-dimers. A recent study has focused on the terminal phase of coagulation cascades and highlighted that the imbalance of factor XIII (Fibrin Stabilizing Factor) and alpha (2)-plasmin inhibitor (a2PI) is a potential additional cause of increased thrombosis risk in HD [27]. These are markers of thrombin activity on fibrinogen produced in extracorporeal circuits, even with heparin anticoagulation. This is why various alternative anticoagulation modalities are currently being explored, such as direct oral anticoagulants, heparin-coated circuits, and citrate/calcium infusion.
Platelet activation and its association with blood coagulation are crucial in extracorporeal circuits [28,29,30]. The primary step involves the adhesion of platelets to surfaces, either directly or via adsorbed proteins like fibrinogen and the von Willebrand factor. Certain material properties, such as negative charge, enhance this adhesion, while adsorbed albumin discourages it. Once adhered, platelets change shape, spread, and release granule contents, including ß2-thromboglobulin and platelet factor 4 [31]. Surface receptors like GPIIb/IIIa facilitate further platelet interactions and aggregation. These processes expose phospholipids that aid in the binding of coagulation proteins, promoting clot formation. In hemodialysis, the sequence of platelet adhesion, activation, aggregation, and clot formation are significant markers of hemoincompatibility [30].

2.3. Activation of the Complement System

The activation of the complement system resulting from membrane–blood interactions is mediated mainly through the alternate pathway (C3b, Properdin) and the lectin pathway (ficolin) [32,33]. This leads to the early production of C3a, and later C5a and sC5b9, which act as anaphylatoxins [34]. Complement activation and its consequences have significantly impacted the development of dialysis membranes [34,35,36]. It is widely acknowledged as undesirable because it is potentially associated with severe adverse events (e.g., first-use syndrome, lung dysfunction, hypoxemia, intradialytic morbidity) and subclinical long-term events (e.g., vascular disease), contributing to increased morbidity in dialysis patients and higher costs of dialysis [37]. Historically, unmodified cellulosic-based membranes, once prevalent in hemodialysis, were phased out due to the high activation of the complement system’s alternative pathway. Research led to the development of more biocompatible membranes, starting with modified cellulosic (reducing or masking hydroxyl radicals) and then synthetic polymer-based membranes [38]. Despite improvements, synthetic membranes still exhibit low levels of complement activation [39]. This residual complement activation has raised new concerns, as it has been associated in recent studies with short- and/or mid-term severe cardiac events [40]. As such, new efforts have been focused on membrane development to mitigate or abolish this complement activation [41].

2.4. Activation of the Kallikrein–Kinin System

During hemodialysis, contact with the dialyzer membrane surface, depending on their physical (e.g., electric charges) or chemical characteristics, can activate the kallikrein–kinin system through both the contact phase and complement activation [42]. This activation leads to the production of bradykinin, a molecule with complex and paradoxical effects on the vascular and bronchoalveolar systems [43]. Bradykinin can cause vasodilation and severe hypotension, but in some cases, it can induce paradoxical hypertension. It plays a role in both inflammatory responses and blood pressure regulation by acting on endothelial cells. Furthermore, bradykinin has been implicated in severe allergic reactions experienced by hemodialysis patients, especially those taking ACE inhibitors [44,45,46].

2.5. Activation of Blood Cells, NET Formation, Release of Mediators

The leukocyte complement activation axis plays a crucial role in hemoincompatibility reactions during hemodialysis (HD). Complement activation during HD mirrors leukopenia, with the intensity influenced by the nature and properties of the dialysis membranes (cellulosic or synthetic) [32]. Leukocytes bind to C3 fragments on the membrane surface (mostly hydroxyl radicals), leading to leukopenia and the further recruitment, activation, and degranulation of neutrophils, which trigger oxidative burst [47,48]. Additionally, circulating monocytes may be activated either by contact with the membrane or by endotoxins present in the dialysate, initiating the synthesis and release of proinflammatory cytokines (IL-1, IL-6, TNFα), which actively contribute to the acute phase reaction [49,50].
Recently, it has been proposed that the formation of Neutrophil Extracellular Traps (NETs), known as NETosis, may serve as an integrated marker of hemodialysis bioincompatibility reactions [51,52]. NETs result from neutrophil degranulation induced by reactive oxygen overproduction via NADPH oxidase. They consist of modified chromatin, decorated with serine proteases, elastase, bactericidal proteins, and myeloperoxidase (MPO), which produces hypochlorite anion. Byproducts of NETs, such as elastase, MPO, and cellfree DNA, have been reported to increase in hemodialysis patients, particularly during dialysis sessions [52]. Furthermore, as NETs and MPO can be taken up by the endothelium, NETs could be considered a vascular memory of the intermittent bioincompatibility phenomenon [51]. Interestingly, NETs have recently been identified as a major harmful component in a wide range of pathologies, including vascular diseases associated with inflammatory processes. This indicates that NETs could be a significant marker to focus on in HD patients.

2.6. Activation of Endothelial Cells and Release of Extracellular Microvesicles

Endothelial injury is part of the complex bioincompatibility reactions induced by the hemodialysis (HD) system [53]. Endothelial cells respond to this stress by shedding endothelial-derived extracellular microvesicles (EMVs) or microparticles with proinflammatory and pro-coagulant activities, as well as a propensity for inducing vascular lesion and calcification [54,55,56]. Studies have shown that the number and size of circulating EMVs (marked by CD144+) are significantly higher in HD patients compared to healthy individuals or non-dialysis CKD patients [54]. Furthermore, EMVs increase and modify their size during HD sessions, varying according to the dialysis modality. In this context, hemodiafiltration (HDF) and convective-based therapies are beneficial in mitigating the increase in and modulating the size of EMVs [53,57,58,59].

2.7. Activation of Acute Phase Protein Synthesis and Inflammation

The activation of various protein cascades (coagulation, complement, kinin–kallikrein) and circulating cells (platelets, leukocytes) induced by contact with the extracorporeal circuit triggers the release of proinflammatory mediators (cytokines, granulocyte enzymes) and reactive oxygen species from leukocytes, ultimately leading to oxidative stress and inflammation [48,49]. These reactions amplify and extend the process, inducing the production of acute phase reactants by the liver in a broader reaction called inflammasome production [60]. Microbial impurities (e.g., endotoxin, LPS, muramyl dipeptides) in the dialysis fluid can enhance and catalyze these hemobiological reactions [61]. The repeated cycles of hemoincompatible phenomena, triggering and maintaining low grade inflammation, contribute to end organ damage and increased mortality [62,63].
All these biological reactions occur in the hemodialyzer, and extracorporeal circuits interact with each other, creating a vicious cycle with amplification loops that propagate systemically in circulation and maintain them beyond the duration of dialysis. The crosstalk between major players is well documented for the interplay between complement and coagulation, proinflammatory cytokines and oxidative stress, as well as between coagulation activation and proinflammatory cytokines, and between granulocyte activation with enzyme release and proinflammatory cytokine release or endothelial damage [62,64,65,66,67]. Additionally, the intensity of these reactions can vary between patients due to individual sensitivity, as well as over time, depending on procedural conditions, patient health status, and other unexpected factors. Along with uremic disorders, these hemobiologic reactions contribute to end organ damage, particularly affecting the cardiovascular system and leading to cardiovascular disease [68].

3. Clinical Outcomes and Health Implications

Hemoincompatibility reactions during hemodialysis encompass, but are not limited to, issues with the extracorporeal blood circuit, water and dialysate contaminants, and IV drug administration. These reactions have diverse clinical consequences, impacting various organs with varying severity at different points within the patient’s treatment cycle. These consequences can be broadly categorized as either acute/subacute reactions or chronic/delayed complications.

3.1. Acute and Subacute Reactions

These reactions occur during or shortly after dialysis and often present as life-threatening complications [69]. This is briefly schematized in Figure 2A. Examples are as follows:
Allergic or pseudo-allergic reactions: These reactions may occur almost immediately or early during an HD session. Clinical manifestations are diverse (e.g., malaise, chills, pruritus, hypotension, tachycardia, shortness of breath, wheezing, abdominal pain) and can range in intensity from modest to life-threatening [37]. Several components of the extracorporeal circuit have been implicated (e.g., ethylene oxide, formaldehyde, polymers, or plasticizers) or putatively suspected (e.g., Polysulfone) in triggering these reactions. These reactions may reflect true allergic responses mediated by IgE (e.g., ethylene oxide) [37,70,71] or pseudo-allergic responses mediated by different pathways [72], including complement activation (CARPA) [73,74]. The role of plasticizers embedded in synthetic polymers, such as bisphenol A (BPA) [75], polyvinylpyrrolidone (PVP), or phthalates, has been suggested as a potential cause of sensitization [76]. Additionally, the role of the sterilization process (e.g., gamma radiation) in polymer sensitization has been recently advocated [77].
Acute hemolysis: This is due to the rapid destruction of red blood cells within the extracorporeal circuit due to osmotic (electrolytic composition), chemical (toxic component, lead, cupper, chloramine) or mechanical stress [78]. Depending on the intensity of the hemolysis, the symptomatology may vary from simple malaise, back pain, chills, and hypotension, to severe hypotension or shock.
Massive extracorporeal thrombosis: Thrombosis of the extracorporeal circuit within the course of dialysis is due to inadequate anticoagulation, the antagonization of heparin (e.g., acidosis), or resulting from heparin-induced thrombopenia [79,80].
Air embolism: Air bubbles may be formed in the extracorporeal bloodstream due to various reasons (e.g., partial disconnection within the negative pressure segment of circuit, negative pressure exerted by the blood pump on blood, gas formation within dialysate side) [81,82,83,84,85]. Microbubbles can cause symptoms such as cough, chest pain, shortness of breath, shock, and stroke. Massive or large microbubble air embolism may cause sudden death [83]. A particular severe and lethal outbreak of sudden death through gas embolism has been reported from dialyzer contamination with unemulsified perfluorocarbon (PFC), which is used for testing repair dialyzers [86,87].
Acute or subacute toxicity: Contamination of water and dialysate may cause sudden death, usually as outbreaks. These may come from chemical toxicity (e.g., aluminum, chloramine, fluoride, copper, formaldehyde) [88,89,90] but also from microorganisms such as microcystin produced by the blue–green alga Microcystis Aeruginosa [91,92,93]. Patients develop acute neurotoxicity or subacute hepatotoxicity, with symptoms ranging from nausea and vomiting to blindness and convulsions and sudden death.

3.2. Chronic and Delayed Complications

These complications develop over months or years of hemodialysis therapy and contribute to dialysis-associated diseases. This is briefly schematized in Figure 2B. Examples are as follows:
Beta-2 Microglobulin amyloidosis: Beta-2-Microglobulin amyloidosis (ß2MA) is a disabling condition that can affect long-term hemodialysis patients. Identified in the 1990s, it is characterized by the accumulation, deposition, and transformation of ß2M under local conditions into amyloid fibrils in synovial and osteoarticular tissues in patients with end-stage kidney disease due to high levels of circulating ß2M [94,95]. As a result, it causes destructive osteoarthropathies, such as carpal tunnel syndrome, flexor tenosynovitis, subchondral bone cysts, and erosions, as well as pathological fractures. The most severe complication involving ß2MA deposits is the destruction of paravertebral ligaments and intervertebral discs, which can result in paraplegia [96,97,98,99]. Visceral involvement has also been found in various sites, including the gastrointestinal (GI) tract, heart, and tongue, as well as cardiac involvement, leading to fatal arrhythmias. Several epidemiologic and interventional studies have confirmed that ß2MA was related to ß2M accumulation resulting from the combined use of low flux membranes that do not clear ß2M and bioincompatible cellulosic membranes that stimulate its production via complement activation. This reaction is amplified by contaminated dialysate fluid, resulting in a microinflammatory state. Interestingly, the increased use of high-flux permeable membranes with ultrapure dialysis fluid has almost eliminated ß2MA by more efficiently clearing ß2M and mitigating complement and inflammation reactions [100,101].
Accelerated vascular disease: Accelerated atherosclerosis was recognized in hemodialysis patients over 50 years ago [102]. From this initial clinical observation, it has been consistently established that chronic kidney disease is a major cardiovascular risk factor aside from traditional ones, beginning early during kidney disease progression [103]. In this context, hemodialysis has been confirmed as a significant disease modifier and enhancer of atherosclerosis and vascular disease risk. Among the pathogenic factors contributing to vascular disease progression, the hemoincompatibility of the extracorporeal circuit, evidenced by residual complement activation and subclinical chronic inflammation, has been implicated [40,103,104,105,106]. Additionally, the accumulation of uremic toxins (such as middle molecular weight toxins like ß2M and protein-bound uremic toxins like indoxyl sulfate), fluid retention and hypertension, and metabolic abnormalities resulting from the uremic milieu (such as hyperphosphatemia, bone mineral disorders, and lipid disorders) are strong contributive factors to these vascular lesions [107]. Although it remains difficult to disentangle the precise roles of hemoincompatibility and dialysis treatment efficiency in the atherosclerosis process, observational and interventional studies have shown that using high-flux biocompatible membranes, ultrapure dialysate, and intensifying solute removal (such as hemodiafiltration) might have a protective effect on the vascular system of dialysis patients [108,109].
Cardiovascular disease: Cardiovascular disease (CVD) is highly prevalent among dialysis patients, with over 80% presenting with at least one form of CVD at the onset of dialysis. The most common cardiovascular conditions in this group include the following: left ventricular hypertrophy (29–75%), congestive heart failure (20–40%), coronary artery disease (22–39%), arrhythmias, including atrial fibrillation (11–27%), sudden cardiac death (15–24%), and valvular heart disease (24%), particularly aortic stenosis [110,111,112,113,114]. The high burden of CVD in patients with end-stage renal disease (ESRD) is driven by both traditional risk factors such as hypertension and diabetes, as well as non-traditional factors specific to kidney disease, including altered bone mineral metabolism, endothelial dysfunction, volume overload, and uremic toxins [111,112]. ESRD patients have a 16- to 19-fold higher mortality rate compared to the general population, with cardiovascular causes responsible for over 50% of deaths [114,115,116]. Hemodialysis itself, through dialysis-induced systemic stress, adds to the cardiovascular strain in this already vulnerable population [11]. Repeated myocardial injury and stress due to fluid shifts, electrolyte imbalances, and exposure to uremic toxins during hemodialysis sessions likely contribute to the high rates of arrhythmias, heart failure, and sudden cardiac death seen in these patients. Early screening for cardiovascular disease is crucial to identify complications sooner and reduce risk. The aggressive management of both traditional and kidney-specific CVD risk factors, along with the optimization of dialysis prescriptions, can help lower cardiovascular risk in this high-risk population. In this context, hemoincompatibility reactions, which are mediated by inflammation, are also recognized contributors to cardiovascular disease, such as non-hemodynamic dialysis-induced systemic stress [21,117].
Malnutrition and protein energy wasting: Protein energy malnutrition is recognized as a leading cause of morbidity and mortality in dialysis patients. The protein energy wasting process is observed in 40 to 50% of the dialysis population, depending on the biomarkers used [118,119]. Loss of lean tissue mass and sarcopenia are highly prevalent in this population, leading to frailty. Although several factors have been identified in protein energy wasting, including the retention of uremic toxins, acidosis, fluid overload, and/or losses of amino acids and proteins during dialysis, it has been well established that hemodialysis per se [105,106,120], through hemoincompatibility reactions including complement activation, inflammation, and oxidative stress mechanisms, plays a central role in muscle catabolism [121,122,123] involving mitochondrial dysfunction aggravated by intracellular phosphate depletion [124,125,126]. Observational and interventional studies using high-flux synthetic membranes with a more hemocompatible profile, ultrapure dialysis fluid, and increased uremic solute clearance (such as hemodiafiltration) have been able to mitigate muscle degradation as well as preserve nutritional status including lean tissue mass, and biomarkers such as albumin and transthyretin [127,128,129,130].
Premature aging phenomenon: Premature aging in dialysis patients is a well-recognized and documented phenomenon [131]. Aging is a multifactorial process influenced by uremic abnormalities, including the accumulation of uremic toxins and immune dysfunction, which progress with kidney disease [131,132,133]. However, it is further accelerated by kidney replacement therapy, indicating that hemodialysis plays a role in this phenomenon. Recognizing that residual complement activation, oxidative stress, inflammation, and the formation of advanced glycation end products (AGEs) associated with hemoin-compatible dialysis are major contributors to cellular senescence, it is easy to postulate that aging is precipitated by these hemobiologic reactions [134]. Even though no specific study has objectively explored biological reactions associated with aging in hemodialysis patients, one may speculate that using high-flux biocompatible dialyzers, ultrapure dialysate, and enhanced clearances of middle and large molecular weight uremic compounds will be beneficial in mitigating this senescent phenomenon [135].
Lung disease: Lung disease or respiratory disorders as well as pulmonary hypertension are very prevalent complications in hemodialysis patients [136,137,138,139]. The pathogenesis of impaired pulmonary functions is not completely elucidated but it involved, aside fluid overload and congestive heart failure, repetitive hemoincompatibility reactions and microembolism as part of inflammation and fibrosis processes that alter gas exchange and impair respiratory function [136,137]. Recently, it has been clearly shown that chronic hypoxia present in about 10% of HD patients was associated with poor outcomes [140,141]. In addition, tissular alterations resulting from hypoxia are prone to lung disease but also to various tissular injuries [142].
Liver disease: Liver disease is a common complication in about one third of HD patients. It mostly caused by hepatitis (B, C) or its sequalae, or hepatotoxic drugs or illness [143]. However, plastic particles can accumulate in the macrophages of the liver and spleen as part of plastic spallation from dialysis tubing (silicone, PVC, polyurethane) [144].
Skin disease: Skin problems are quite common in hemodialysis (HD) patients. These typically include dryness and itching (xerosis), hyperpigmentation, pruritus (itching), purpura, nail fragility, and abnormalities as part of uremic syndrome [145,146]. Bullous dermatosis has been reported as part of the syndrome of cutaneous fragility and blistering occurring in HD patients associated with abnormal porphyrin metabolism [147,148]. This can be also likely attributed to hemoincompatibility reactions associated with HD.
Immune compromise: Immune disorders are a hallmark of hemodialysis patients. Immune disturbances involve both the innate and adaptive immune systems, explaining their higher susceptibility to infections and deficiencies in immune response to vaccination [149,150]. These immune disorders are linked to uremic retention solutes and are strongly associated with hemoincompatibility reactions, which contribute to a state of subclinical chronic inflammation and an imbalance between pro- and anti-inflammatory mechanisms [151,152].
Loss of kidney function: Loss of native kidney function is a common feature in hemodialysis patients after a few months of treatment that affects patients’ outcomes [153]. It reflects dialysis-induced systemic stress in both hemodynamic and non-hemodynamic components. Hemoincompatibility reactions are significant contributors to inflammation and fibrosis kidney lesions. The use of improved hemocompatible and more efficient convective-based therapies tend to reduce the speed of loss of kidney function.

4. Economic Burden on Healthcare System

The economic impact of hemoincompatibility can be substantial in the overall cost of kidney replacement therapy, even though it is difficult to disentangle efficiency and hemocompatibility [154,155,156]. This impact includes direct medical costs, indirect costs, and intangible costs. This is briefly schematized in Figure 3.

4.1. Direct Medical Costs

Direct medical costs affect the healthcare system in various ways and can be categorized as follows:
Loss of efficiency in treatment: Suboptimal blood purification due to hemoincompatibility reactions, either by reducing solute clearances or shortening treatment time to accommodate the patient’s condition, may result in inadequate treatment delivery. This contributes to increased morbidity, higher hospitalization rates, and a negative impact on the patient’s treatment burden [157]. Additionally, inadequate treatment delivery may negatively impact the reimbursement of care providers. In some countries, reimbursement systems for dialysis are based on the attainment of distinct clinical treatment targets for patients. All dialysis facilities must regularly document defined targets, such as the delivered dose of dialysis, dialysis frequency (thrice weekly), treatment time (240 min/session), and hemoglobin levels (10 g/dL). If quality targets are not met, stepwise sanctions may become effective. Patient outcome-related reimbursement schemes are increasingly implemented in most countries, and reported poor outcomes are linked to reduced reimbursement. For example, in the US, within the Quality Incentive Program (QIP), dialysis facilities that do not meet certain standards are subject to a global Medicare payment reduction of up to 2%.
Increased hospitalization: Higher hospitalization rates and longer stays, including admissions to the intensive care unit (ICU), are due to complications such as fluid overload, cardiac events, infections, malnutrition, anemia, and various other uremic-related complications [158,159,160,161]. In this context, the increased use of medical imaging or laboratory testing significantly contribute to additional healthcare expenditures [162,163]. When looked from an economic perspective, although there is a general scarcity of cost–utility analysis data in dialysis, three studies examined the additional costs incurred by the procedure-related hospitalization of HD and PD patients: the cost range of increased complication-related hospitalizations was between EUR 1609 and 2772 (range reported is derived from the three publications cited and costs are reported in EUR at a 2021 price level, i.e., including inflation) [164,165,166]. Further to this, costs for HD treatments conducted in hospitals are mostly covered by specific reimbursement schemes that incur higher costs to the healthcare system. Two countries having specific reimbursement schemes are Germany (2021 Reimbursement Code 8-854.3) and the United Kingdom [167,168].
Extended use of medications and interventions: The increased use of antibiotics to treat blood stream-related infections, specific medications (antalgic, steroids, cardiac medications) to treat hypersensitivity or intercurrent illnesses, or the use of enteral or parenteral nutrition to treat malnutrition represents significant additional costs for the healthcare system. Extensive imaging exploration (e.g., ultrasound, CT scan, MRI), which is required in this context, also places a significant economic burden on the healthcare system. For example, the consumption of erythropoietic stimulating agents (ESAs) and IV iron use may be reduced by 20 to 30% while keeping hemoglobin levels in the target range when high volume HDF is applied, confirming that the use of more efficient and biocompatible systems has an impact on medication costs [169,170,171].
Implementation of new dialysis strategies: New therapeutic approaches, including short-term rescuing procedures like isolated ultrafiltration and intensive hemodialysis with daily treatment programs, have been adopted. Ultimately, transitioning patients to other dialysis modalities as necessary is part of the economic burden for the healthcare system as well as the therapeutic burden for patients [172].

4.2. Indirect Medical Costs

Indirect medical costs predominantly impact society and can be categorized as follows:
Loss of Productivity: Reduced productivity among active workers or in domestic tasks due to illness is difficult to quantify but is clearly part of the additional cost burden on the healthcare system, industry, and employers.
Family Burden: Managing and supporting a HD patient is associated with increased responsibilities and stress for family members [173], which may be accentuated in the case of home HD treatment.
Caregiver Burden: Increased demands on caregivers, such as nurses in in-center dialysis facilities, to increase productivity or to more carefully track daily care with digital tools, may lead to physical and emotional strain, potentially resulting in burnout syndrome [174].
In this context, it is of paramount importance to minimize and prevent most hemoincompatible reactions to mitigate this additional risk and burden on HD patients.

4.3. Intangible Costs

Intangible costs associated with hemoincompatibility reactions primarily affect patients’ perception of their treatment and add to the overall burden of their kidney disease. These include the following:
Deterioration of Health-Related Quality of Life (HR-QOL): A very common pattern in HD patients is a slow decline in various domains of their quality of life over time. This includes physical health, mental well-being, social activity, and the burden of treatment. This decline can even predict patient outcomes [175,176]. Some treatment options, such as the correction of anemia by ESA and iron [177], using home treatment [178,179], or even more recently, high volume HDF [180], have been identified to potentially mitigate this decrease in HD-QOL.
Psychological Impact: Hemodialysis treatment is well-recognized to significantly impact mental health, leading to increased depression and psychological distress. This aspect should be carefully monitored and managed because it has a significant impact on both patient-reported outcomes (PROs) and patient-reported experiences (PREs).
Therefore, it is now recommended to more closely monitor patient-reported outcomes (PROs) or patient-reported experiences (PREs) as metrics of treatment adequacy, particularly in the context of hemodialysis and potential hemoincompatibility reactions.

5. Strategies to Mitigate Economic Impact and Address Cost-Effectiveness

By improving the hemocompatibility of the entire extracorporeal treatment component, patients, payers, providers, and suppliers could all benefit, ensuring economic sustainability for the healthcare ecosystem. In this context, the cost-effectiveness plane is an important tool that enables payers to assess the value and cost-effectiveness of a new intervention or device. The example given in the Figure 4 depicts the potential benefits of having a more efficient and hemocompatible extracorporeal treatment system compared to the current standard. Any system with improved hemocompatibility and efficiency, as described below, could then be placed on the right side of the plane. Health technology assessment (HTA) agencies would favor treatment systems that are in the lower right quadrant of the cost-effectiveness plane. Significantly, such an analysis is based on informed decision-making involving therapy-related considerations (evidence-based medicine, publications, guidelines, systematic reviews), as well as economic aspects involving individual therapy cost factors (direct, indirect, and intangible).
To reduce the economic burden of hemoincompatibility associated with hemodialysis therapies, several strategies can be implemented. This is schematized in Figure 5.

5.1. Use of More Biocompatible Extracorporeal Components

There is a worldwide trend towards using synthetic high-flux hemodialyzers with more biocompatible membranes and higher performance. Additionally, research is ongoing to develop new synthetic polymer membranes with functionally modified membranes. For example, stabilizing PVP with vitamin E is currently used to reduce blood interactions and provide more hydrophilic properties [181,182,183,184,185]. Further modifications are being implemented or tested, such as substituting bisphenol plasticizers or modifying the surface charge by binding heparin sulfate or other components. Tubing sets are also benefiting from advancements. New polymers with more stable plasticizers (without phthalate) are being used, and attempts are being made to incorporate antithrombotic compounds directly into the polymer. Additionally, better engineering of tubing sets is being explored. This includes features like cassette systems to suppress the blood–air interface, but also tubing sets to provide more regular pathways without diameter restrictions or dead zones to prevent clotting activation [186]. Finally, research on roller blood pumps is ongoing to reduce the risk of plastic spallation and erythrocyte and cell damage.

5.2. Use of Ultrapure Dialysis Fluid

The use of ultrapure dialysis fluid to prevent toxic risk but also to prevent the passage of microbial-derived compounds such as LPS or muramyl dipeptides to blood, which are known as enhancers of hemoincompatibility reactions, is now universally recognized [187,188].

5.3. Utilize Convective-Based Therapies Such as High-Volume Hemodiafiltration

There is now sufficient evidence to show that high-volume hemodiafiltration is superior to high-flux HD. It offers higher efficiency in uremic solute removal and control, leading to superior outcomes with a 23% reduction in all-cause mortality [189,190]. Additionally, it demonstrates consistently higher biocompatibility with reduced inflammation markers.

5.4. Personalizing Treatment Prescriptions and Schedules

The personalization of kidney replacement therapy is a response to patient-centered care to fit with patient tolerance and patient needs. That consists in customizing session duration, frequency of sessions, and location of treatment (in-center, home, and self-care). Furthermore, tailoring electrolytic prescriptions to individual patient needs is also an important feature to implement [191,192].

5.5. Enhancing Patient Monitoring and Early Risk Detection

The use of remote monitoring devices and digital health technologies to detect potential risks earlier and improve patient outcomes is an interesting approach that warrants further investigation to assess its value [193].

5.6. Empowering Patients

Empowering patients to adopt healthier lifestyles, such as regular exercise, quitting smoking, and adopting better dietary habits, can improve outcomes. Increasing or facilitating treatment adherence by therapeutic educational workshops and more actively involving patients in their treatment plans have been shown to improve outcomes [194,195].

5.7. Using Additional Medications When Necessary

Administering medications to correct residual hemoincompatible reactions, such as anti-inflammatory drugs and complement blockers or inhibitors when needed, may be additional options.

5.8. Preserving Residual Kidney Function

Implementing strategies to reduce dialysis-induced systemic stress, both hemodynamic and non-hemodynamic, through more biocompatible modalities is crucial for preserving residual kidney function, as indicated earlier.

6. Conclusions

Significant progress has been made over the last few decades in reducing biological reactions associated with hemoincompatibility in hemodialysis-related therapies. These advancements include the extensive use of synthetic dialyzer membranes, new polymer materials in tubing sets, the ultra-purity of dialysis fluid and water, and more efficient therapies including high-flux HD and high volume HDF.
However, despite these advancements, residual hazards and serious consequences remain associated with the hemoincompatibility of dialysis systems. These include unpredictable acute life-threatening reactions and delayed dialysis-related diseases such as accelerated cardiovascular disease, accelerated aging, a compromised immune system, and the burden of kidney disease treatment.
These side effects need to be considered seriously in future research, as they have significant health and economic consequences for a therapy that is already very expensive.

Author Contributions

Conceptualization, C.H., S.K.B., B.C.; methodology, F.K., D.K., C.A.; validation, C.H., S.K.B., F.K., D.K., C.A. and B.C.; formal analysis, B.C.; investigation, All. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

C.H., F.K., D.K., C.A. are employees of Fresenius Medical Care Deutschlan GmbH, S.K.B. is CEO of Dialysis-at-Crossroads (D@X) Advisory, B.C. is CEO of MTX Consulting Int.

References

  1. Himmelfarb, J.; Vanholder, R.; Mehrotra, R.; Tonelli, M. The current and future landscape of dialysis. Nat. Rev. Nephrol. 2020, 16, 573–585. [Google Scholar] [CrossRef] [PubMed]
  2. Webster, A.C.; Nagler, E.V.; Morton, R.L.; Masson, P. Chronic Kidney Disease. Lancet 2017, 389, 1238–1252. [Google Scholar] [CrossRef] [PubMed]
  3. Meyer, T.W.; Hostetter, T.H. Uremia. N. Engl. J. Med. 2007, 357, 1316–1325. [Google Scholar] [CrossRef] [PubMed]
  4. Himmelfarb, J. Hemodialysis complications. Am. J. Kidney Dis. 2005, 45, 1122–1131. [Google Scholar] [CrossRef] [PubMed]
  5. Maher, J.F.; Schreiner, G.E. Hazards and complications of dialysis. N. Engl. J. Med. 1965, 273, 370–377. [Google Scholar] [CrossRef]
  6. Brown, E.; Brown, E.A.; Parfrey, P.S. Complications of Long-Term Dialysis; Oxford University Press: Oxford, UK, 1999. [Google Scholar]
  7. Jaffer, I.H.; Weitz, J.I. The blood compatibility challenge. Part 1: Blood-contacting medical devices: The scope of the problem. Acta Biomater. 2019, 94, 2–10. [Google Scholar] [CrossRef]
  8. Kokubo, K.; Kurihara, Y.; Kobayashi, K.; Tsukao, H.; Kobayashi, H. Evaluation of the Biocompatibility of Dialysis Membranes. Blood Purif. 2015, 40, 293–297. [Google Scholar] [CrossRef]
  9. Weber, M.; Steinle, H.; Golombek, S.; Hann, L.; Schlensak, C.; Wendel, H.P.; Avci-Adali, M. Blood-Contacting Biomaterials: In Vitro Evaluation of the Hemocompatibility. Front. Bioeng. Biotechnol. 2018, 6, 99. [Google Scholar] [CrossRef]
  10. Mollahosseini, A.; Abdelrasoul, A. Novel insights in hemodialysis: Most recent theories on membrane hemocompatibility improvement. Biomed. Eng. Adv. 2022, 3, 100034. [Google Scholar] [CrossRef]
  11. Canaud, B.; Kooman, J.P.; Selby, N.M.; Taal, M.W.; Francis, S.; Maierhofer, A.; Kopperschmidt, P.; Collins, A.; Kotanko, P. Dialysis-Induced Cardiovascular and Multiorgan Morbidity. Kidney Int. Rep. 2020, 5, 1856–1869. [Google Scholar] [CrossRef]
  12. Skinner, S.C.; Derebail, V.K.; Poulton, C.J.; Bunch, D.C.; Roy-Chaudhury, P.; Key, N.S. Hemodialysis-Related Complement and Contact Pathway Activation and Cardiovascular Risk: A Narrative Review. Kidney Med. 2021, 3, 607–618. [Google Scholar] [CrossRef] [PubMed]
  13. Klinkmann, H.; Davison, A.M. The biocompatibility puzzle—Partly solved, partly enigmatic. Nephrol. Dial. Transplant. 1994, 9 (Suppl. 2), 184–186. [Google Scholar] [PubMed]
  14. Klinkmann, H.; Falkenhagen, D.; Stefoni, S.; Bonomini, V. Biocompatibility: A systems approach. Contrib. Nephrol. 1989, 70, 213–226. [Google Scholar] [PubMed]
  15. Klinkmann, H.; Ivanovich, P.; Falkenhagen, D. Biocompatibility: The need for a systems approach. Nephrol. Dial. Transplant. 1993, 8 (Suppl. 2), 40–42. [Google Scholar] [CrossRef]
  16. Westphalen, H.; Abdelrasoul, A.; Shoker, A. Protein adsorption phenomena in hemodialysis membranes: Mechanisms, influences of clinical practices, modeling, and challenges. Colloid. Interface Sci. Commun. 2021, 40, 100348. [Google Scholar] [CrossRef]
  17. Westphalen, H.; Saadati, S.; Eduok, U.; Abdelrasoul, A.; Shoker, A.; Choi, P.; Doan, H.; Ein-Mozaffari, F. Case studies of clinical hemodialysis membranes: Influences of membrane morphology and biocompatibility on uremic blood-membrane interactions and inflammatory biomarkers. Sci. Rep. 2020, 10, 14808. [Google Scholar] [CrossRef]
  18. Hakim, R.M. Clinical implications of hemodialysis membrane biocompatibility. Kidney Int. 1993, 44, 484–494. [Google Scholar] [CrossRef]
  19. Bonomini, M.; Piscitani, L.; Di Liberato, L.; Sirolli, V. Biocompatibility of Surface-Modified Membranes for Chronic Hemodialysis Therapy. Biomedicines 2022, 10, 844. [Google Scholar] [CrossRef]
  20. Pérez-García, R.; Rodríguez-Benítez, P.O. Why and how to monitor bacterial contamination of dialysate? Nephrol. Dial. Transplant. 2000, 15, 760–764. [Google Scholar] [CrossRef]
  21. Canaud, B.; Stephens, M.P.; Nikam, M.; Etter, M.; Collins, A. Multitargeted interventions to reduce dialysis- induced systemic stress. Clin. Kidney J. 2021, 14 (Suppl. 4), i72–i84. [Google Scholar] [CrossRef]
  22. Bowry, S.K.; Kircelli, F.; Himmele, R.; Nigwekar, S.U. Blood-incompatibility in haemodialysis: Alleviating inflammation and effects of coagulation. Clin. Kidney J. 2021, 14 (Suppl. 4), i59–i71. [Google Scholar] [CrossRef] [PubMed]
  23. Brash, J.L.; Horbett, T.A.; Latour, R.A.; Tengvall, P. The blood compatibility challenge. Part 2: Protein adsorption phenomena governing blood reactivity. Acta Biomater. 2019, 94, 11–24. [Google Scholar] [CrossRef] [PubMed]
  24. Nesbitt, W.S.; Mangin, P.; Salem, H.H.; Jackson, S.P. The impact of blood rheology on the molecular and cellular events underlying arterial thrombosis. J. Mol. Med. 2006, 84, 989–995. [Google Scholar] [CrossRef] [PubMed]
  25. Suranyi, M.; Chow, J.S. Review: Anticoagulation for haemodialysis. Nephrology 2010, 15, 386–392. [Google Scholar] [CrossRef] [PubMed]
  26. Jaffer, I.H.; Fredenburgh, J.C.; Hirsh, J.; Weitz, J.I. Medical device-induced thrombosis: What causes it and how can we prevent it? J. Thromb. Haemost. 2015, 13 (Suppl. 1), S72–S81. [Google Scholar] [CrossRef]
  27. Penzes, K.; Hurjak, B.; Katona, E.; Becs, G.; Balla, J.; Muszbek, L. Terminal Phase Components of the Clotting Cascade in Patients with End-Stage Renal Disease Undergoing Hemodiafiltration or Hemodialysis Treatment. Int. J. Mol. Sci. 2020, 21, 8426. [Google Scholar] [CrossRef]
  28. Gritters-van den Oever, M.; Schoorl, M.; Schoorl, M.; Bartels, P.C.; Grooteman, M.P.; Nubé, M.J. The role of the extracorporeal circuit in the trapping and degranulation of platelets. Blood Purif. 2009, 28, 253–259. [Google Scholar] [CrossRef]
  29. Lucchi, L.; Ligabue, G.; Marietta, M.; Delnevo, A.; Malagoli, M.; Perrone, S.; Stipo, L.; Grandi, F.; Albertazzi, A. Activation of coagulation during hemodialysis: Effect of blood lines alone and whole extracorporeal circuit. Artif. Organs. 2006, 30, 106–110. [Google Scholar] [CrossRef]
  30. Schoorl, M.; Schoorl, M.; Nubé, M.J.; Bartels, P.C. Platelet depletion, platelet activation and coagulation during treatment with hemodialysis. Scand. J. Clin. Lab. Investig. 2011, 71, 240–247. [Google Scholar] [CrossRef]
  31. Canaud, B.; Mion, C.; Arujo, A.; N’Guyen, Q.V.; Paleyrac, G.; Hemmendinger, S.; Cazenave, J.P. Prostacyclin (epoprostenol) as the sole antithrombotic agent in postdilutional hemofiltration. Nephron 1988, 48, 206–212. [Google Scholar] [CrossRef]
  32. Poppelaars, F.; Faria, B.; Gaya da Costa, M.; Franssen, C.F.; Van Son, W.J.; Berger, S.P.; Daha, M.R.; Seelen, M.A. The Complement System in Dialysis: A Forgotten Story? Front. Immunol. 2018, 9, 71. [Google Scholar] [CrossRef] [PubMed]
  33. de Borst, M.H. The Complement System in Hemodialysis Patients: Getting to the Heart of the Matter. Nephron 2016, 132, 1–4. [Google Scholar] [CrossRef] [PubMed]
  34. Craddock, P.R.; Fehr, J.; Brigham, K.L.; Kronenberg, R.S.; Jacob, H.S. Complement and leukocyte-mediated pulmonary dysfunction in hemodialysis. N. Engl. J. Med. 1977, 296, 769–774. [Google Scholar] [CrossRef] [PubMed]
  35. Davenport, A. New Dialysis Technology and Biocompatible Materials. Contrib. Nephrol. 2017, 189, 130–136. [Google Scholar] [PubMed]
  36. Davenport, A. The changing face of dialyzer membranes and dialyzers. Semin. Dial. 2023; ahead of print. [Google Scholar]
  37. Daugirdas, J.T.; Ing, T.S. First-use reactions during hemodialysis: A definition of subtypes. Kidney Int. Suppl. 1988, 24, S37–S43. [Google Scholar]
  38. Canaud, B. Recent advances in dialysis membranes. Curr. Opin. Nephrol. Hypertens. 2021, 30, 613–622. [Google Scholar] [CrossRef]
  39. Basile, C.; Davenport, A.; Mitra, S.; Pal, A.; Stamatialis, D.; Chrysochou, C.; Kirmizis, D. Frontiers in hemodialysis: Innovations and technological advances. Artif. Organs. 2021, 45, 175–182. [Google Scholar] [CrossRef]
  40. Poppelaars, F.; Gaya da Costa, M.; Faria, B.; Berger, S.P.; Assa, S.; Daha, M.R.; Medina Pestana, J.O.; Van Son, W.J.; Franssen, C.F.; Seelen, M.A. Intradialytic Complement Activation Precedes the Development of Cardiovascular Events in Hemodialysis Patients. Front. Immunol. 2018, 9, 2070. [Google Scholar] [CrossRef]
  41. Ronco, C.; Clark, W.R. Haemodialysis membranes. Nat. Rev. Nephrol. 2018, 14, 394–410. [Google Scholar] [CrossRef]
  42. Renaux, J.L.; Thomas, M.; Crost, T.; Loughraieb, N.; Vantard, G. Activation of the kallikrein-kinin system in hemodialysis: Role of membrane electronegativity, blood dilution, and pH. Kidney Int. 1999, 55, 1097–1103. [Google Scholar] [CrossRef]
  43. Désormeaux, A.; Moreau, M.E.; Lepage, Y.; Chanard, J.; Adam, A. The effect of electronegativity and angiotensin-converting enzyme inhibition on the kinin-forming capacity of polyacrylonitrile dialysis membranes. Biomaterials 2008, 29, 1139–1146. [Google Scholar] [CrossRef] [PubMed]
  44. Schaefer, R.M.; Fink, E.; Schaefer, L.; Barkhausen, R.; Kulzer, P.; Heidland, A. Role of bradykinin in anaphylactoid reactions during hemodialysis with AN69 dialyzers. Am. J. Nephrol. 1993, 13, 473–477. [Google Scholar] [CrossRef] [PubMed]
  45. Krieter, D.H.; Grude, M.; Lemke, H.D.; Fink, E.; Bönner, G.; Schölkens, B.A.; Schulz, E.; Müller, G.A. Anaphylactoid reactions during hemodialysis in sheep are ACE inhibitor dose-dependent and mediated by bradykinin. Kidney Int. 1998, 53, 1026–1035. [Google Scholar] [CrossRef] [PubMed]
  46. Tielemans, C.; Madhoun, P.; Lenaers, M.; Schandene, L.; Goldman, M.; Vanherweghem, J.L. Anaphylactoid reactions during hemodialysis on AN69 membranes in patients receiving ACE inhibitors. Kidney Int. 1990, 38, 982–984. [Google Scholar] [CrossRef]
  47. Canaud, B.; Cristol, J.; Morena, M.; Leray-Moragues, H.; Bosc, J.; Vaussenat, F. Imbalance of oxidants and antioxidants in haemodialysis patients. Blood Purif. 1999, 17, 99–106. [Google Scholar] [CrossRef]
  48. Morena, M.; Cristol, J.P.; Senécal, L.; Leray-Moragues, H.; Krieter, D.; Canaud, B. Oxidative stress in hemodialysis patients: Is NADPH oxidase complex the culprit? Kidney Int. Suppl. 2002, 61, 109–114. [Google Scholar] [CrossRef]
  49. Schouten, W.E.; Grooteman, M.P.; van Houte, A.J.; Schoorl, M.; van Limbeek, J.; Nubé, M.J. Effects of dialyser and dialysate on the acute phase reaction in clinical bicarbonate dialysis. Nephrol. Dial. Transplant. 2000, 15, 379–384. [Google Scholar] [CrossRef]
  50. Campo, S.; Lacquaniti, A.; Trombetta, D.; Smeriglio, A.; Monardo, P. Immune System Dysfunction and Inflammation in Hemodialysis Patients: Two Sides of the Same Coin. J. Clin. Med. 2022, 11, 3759. [Google Scholar] [CrossRef]
  51. Cristol, J.P.; Thierry, A.R.; Bargnoux, A.S.; Morena-Carrere, M.; Canaud, B. What is the role of the neutrophil extracellular traps in the cardiovascular disease burden associated with hemodialysis bioincompatibility? Front. Med. 2023, 10, 1268748. [Google Scholar] [CrossRef]
  52. Korabecna, M.; Tesar, V. NETosis provides the link between activation of neutrophils on hemodialysis membrane and comorbidities in dialyzed patients. Inflamm. Res. 2017, 66, 369–378. [Google Scholar] [CrossRef]
  53. Bellien, J.; Fréguin-Bouilland, C.; Joannidès, R.; Hanoy, M.; Rémy-Jouet, I.; Monteil, C.; Iacob, M.; Martin, L.; Renet, S.; Vendeville, C.; et al. High-efficiency on- line haemodiafiltration improves conduit artery endothelial function compared with high-flux haemodialysis in end-stage renal disease patients. Nephrol. Dial. Transplant. 2014, 29, 414–422. [Google Scholar] [CrossRef] [PubMed]
  54. Ruzicka, M.; Xiao, F.; Abujrad, H.; Al-Rewashdy, Y.; Tang, V.A.; Langlois, M.A.; Sorisky, A.; Ooi, T.C.; Burger, D. Effect of hemodialysis on extracellular vesicles and circulating submicron particles. BMC Nephrol. 2019, 20, 294. [Google Scholar] [CrossRef] [PubMed]
  55. Jalal, D.; Renner, B.; Laskowski, J.; Stites, E.; Cooper, J.; Valente, K.; You, Z.; Perrenoud, L.; Le Quintrec, M.; Muhamed, I.; et al. Endothelial Microparticles and Systemic Complement Activation in Patients With Chronic Kidney Disease. J. Am. Heart Assoc. 2018, 7, e007818. [Google Scholar] [CrossRef] [PubMed]
  56. Zhao, H.; Liu, H.; Liu, Y.; Jin, J.; He, Q.; Lin, B. The role of extracellular vesicles in vascular calcification in chronic kidney disease. Front. Med. 2022, 9, 997554. [Google Scholar] [CrossRef] [PubMed]
  57. Cavallari, C.; Dellepiane, S.; Fonsato, V.; Medica, D.; Marengo, M.; Migliori, M.; Quercia, A.D.; Pitino, A.; Formica, M.; Panichi, V.; et al. Online Hemodiafiltration Inhibits Inflammation-Related Endothelial Dysfunction and Vascular Calcification of Uremic Patients Modulating miR-223 Expression in Plasma Extracellular Vesicles. J. Immunol. 2019, 202, 2372–2383. [Google Scholar] [CrossRef]
  58. Jia, P.; Jin, W.; Teng, J.; Zhang, H.; Zou, J.; Liu, Z.; Shen, B.; Cao, X.; Ding, X. Acute Effects of Hemodiafiltration Versus Conventional Hemodialysis on Endothelial Function and Inflammation: A Randomized Crossover Study. Medicine 2016, 95, e3440. [Google Scholar] [CrossRef]
  59. Catar, R.; Moll, G.; Kamhieh-Milz, J.; Luecht, C.; Chen, L.; Zhao, H.; Ernst, L.; Willy, K.; Girndt, M.; Fiedler, R.; et al. Expanded Hemodialysis Therapy Ameliorates Uremia-Induced Systemic Microinflammation and Endothelial Dysfunction by Modulating VEGF, TNF-α and AP-1 Signaling. Front. Immunol. 2021, 12, 774052. [Google Scholar] [CrossRef]
  60. Ulrich, C.; Wildgrube, S.; Fiedler, R.; Seibert, E.; Kneser, L.; Fick, S.; Schäfer, C.; Markau, S.; Trojanowicz, B.; Girndt, M. NLRP3 Inflammasome Activation in Hemodialysis and Hypertensive Patients with Intact Kidney Function. Toxins 2020, 12, 675. [Google Scholar] [CrossRef]
  61. Lonnemann, G. Chronic inflammation in hemodialysis: The role of contaminated dialysate. Blood Purif. 2000, 18, 214–223. [Google Scholar] [CrossRef]
  62. Panichi, V.; Migliori, M.; De Pietro, S.; Taccola, D.; Andreini, B.; Metelli, M.R.; Giovannini, L.; Palla, R. The link of biocompatibility to cytokine production. Kidney Int. Suppl. 2000, 76, S96–S103. [Google Scholar] [CrossRef]
  63. Panichi, V.; Migliori, M.; De Pietro, S.; Taccola, D.; Bianchi, A.M.; Norpoth, M.; Giovannini, L.; Palla, R.; Tetta, C. C-reactive protein as a marker of chronic inflammation in uremic patients. Blood Purif. 2000, 18, 183–190. [Google Scholar] [CrossRef] [PubMed]
  64. Wiegner, R.; Chakraborty, S.; Huber-Lang, M. Complement-coagulation crosstalk on cellular and artificial surfaces. Immunobiology 2016, 221, 1073–1079. [Google Scholar] [CrossRef] [PubMed]
  65. Conway, E.M. Complement-coagulation connections. Blood Coagul. Fibrinolysis. 2018, 29, 243–251. [Google Scholar] [CrossRef] [PubMed]
  66. Oncul, S.; Afshar-Kharghan, V. The interaction between the complement system and hemostatic factors. Curr. Opin. Hematol. 2020, 27, 341–352. [Google Scholar] [CrossRef] [PubMed]
  67. Morena, M.; Delbosc, S.; Dupuy, A.M.; Canaud, B.; Cristol, J.P. Overproduction of reactive oxygen species in end-stage renal disease patients: A potential component of hemodialysis-associated inflammation. Hemodial. Int. 2005, 9, 37–46. [Google Scholar] [CrossRef]
  68. Deppisch, R.M.; Beck, W.; Goehl, H.; Ritz, E. Complement components as uremic toxins and their potential role as mediators of microinflammation. Kidney Int. Suppl. 2001, 78, S271–S277. [Google Scholar] [CrossRef]
  69. Saha, M.; Allon, M. Diagnosis, Treatment, and Prevention of Hemodialysis Emergencies. Clin. J. Am. Soc. Nephrol. 2017, 12, 357–369. [Google Scholar] [CrossRef]
  70. Daugirdas, J.T.; Ing, T.S.; Roxe, D.M.; Ivanovich, P.T.; Krumlovsky, F.; Popli, S.; McLaughlin, M.M. Severe anaphylactoid reactions to cuprammonium cellulose hemodialyzers. Arch. Intern. Med. 1985, 145, 489–494. [Google Scholar] [CrossRef]
  71. Akhavan, B.J.; Osborn, U.A.; Mathew, R. Anaphylactic reaction to ethylene oxide in a hemodialysis patient. SAGE Open Med. Case Rep. 2019, 7, 2050313x19838744. [Google Scholar] [CrossRef]
  72. Butani, L.; Calogiuri, G. Hypersensitivity reactions in patients receiving hemodialysis. Ann. Allergy Asthma Immunol. 2017, 118, 680–684. [Google Scholar] [CrossRef]
  73. Pethő, Á.; Piecha, D.; Mészáros, T.; Urbanics, R.; Moore, C.; Canaud, B.; Rosivall, L.; Mollnes, T.E.; Steppan, S.; Szénási, G.; et al. A porcine model of hemodialyzer reactions: Roles of complement activation and rinsing back of extracorporeal blood. Ren. Fail. 2021, 43, 1609–1620. [Google Scholar] [CrossRef] [PubMed]
  74. Szebeni, J. Complement activation-related pseudoallergy: A stress reaction in blood triggered by nanomedicines and biologicals. Mol. Immunol. 2014, 61, 163–173. [Google Scholar] [CrossRef] [PubMed]
  75. Mas, S.; Bosch-Panadero, E.; Abaigar, P.; Camarero, V.; Mahillo, I.; Civantos, E.; Sanchez-Ospina, D.; Ruiz-Priego, A.; Egido, J.; Ortiz, A.; et al. Influence of dialysis membrane composition on plasma bisphenol A levels during online hemodiafiltration. PLoS ONE. 2018, 13, e0193288. [Google Scholar] [CrossRef] [PubMed]
  76. Rodríguez-Sanz, A.; Sánchez-Villanueva, R.; Domínguez-Ortega, J.; Álvarez, L.; Fiandor, A.; Nozal, P.; Sanz, P.; Pizarro-Sánchez, M.S.; Andrés, E.; Cabezas, A.; et al. Characterization of hypersensitivity reactions to polysulfone hemodialysis membranes. Ann. Allergy Asthma Immunol. 2022, 128, 713–720.e2. [Google Scholar] [CrossRef] [PubMed]
  77. Daugirdas, J.T.; Bernardo, A.A. Hemodialysis effect on platelet count and function and hemodialysis- associated thrombocytopenia. Kidney Int. 2012, 82, 147–157. [Google Scholar] [CrossRef]
  78. Tharmaraj, D.; Kerr, P.G. Haemolysis in haemodialysis. Nephrology 2017, 22, 838–847. [Google Scholar] [CrossRef]
  79. Boyer, C.J.; Swartz, R.D. Severe Clotting during Extracorporeal Dialysis Procedures. Semin. Dial. 1991, 4, 69–71. [Google Scholar] [CrossRef]
  80. Sudusinghe, D.; Riddell, A.; Gandhi, T.; Chowdary, P.; Davenport, A. Increased risk of dialysis circuit clotting in hemodialysis patients with COVID-19 is associated with elevated FVIII, fibrinogen and D-dimers. Hemodial. Int. 2023, 27, 38–44. [Google Scholar] [CrossRef]
  81. Stegmayr, B.G. Sources of Mortality on Dialysis with an Emphasis on Microemboli. Semin. Dial. 2016, 29, 442–446. [Google Scholar] [CrossRef]
  82. Wagner, S.; Rode, C.; Wojke, R.; Canaud, B. Observation of microbubbles during standard dialysis treatments. Clin. Kidney J. 2015, 8, 400–404. [Google Scholar] [CrossRef]
  83. Forsberg, U.; Jonsson, P.; Stegmayr, B. Microemboli induced by air bubbles may be deposited in organs as a consequence of contamination during medical care. Clin. Kidney J. 2023, 16, 159–166. [Google Scholar] [CrossRef] [PubMed]
  84. Jonsson, P.; Stegmayr, C.; Stegmayr, B.; Forsberg, U. Venous chambers in clinical use for hemodialysis have limited capacity to eliminate microbubbles from entering the return bloodline: An in vitro study. Artif. Organs. 2023, 47, 961–970. [Google Scholar] [CrossRef] [PubMed]
  85. Stegmayr, B.; Brännström, T.; Forsberg, U.; Jonson, P.; Stegmayr, C.; Hultdin, J. Microbubbles of air may occur in the organs of hemodialysis patients. Asaio J. 2012, 58, 177–179. [Google Scholar] [CrossRef] [PubMed]
  86. Canaud, B.; Aljama, P.; Tielemans, C.; Gasparovic, V.; Gutierrez, A.; Locatelli, F. Pathochemical toxicity of perfluorocarbon-5070, a liquid test performance fluid previously used in dialyzer manufacturing, confirmed in animal experiment. J. Am. Soc. Nephrol. 2005, 16, 1819–1823. [Google Scholar] [CrossRef] [PubMed]
  87. Canaud, B. Performance liquid test as a cause for sudden deaths of dialysis patients: Perfluorohydrocarbon, a previously unrecognized hazard for dialysis patients. Nephrol. Dial. Transplant. 2002, 17, 545–548. [Google Scholar] [CrossRef]
  88. Chávez-Iñiguez, J.S.; Medina-González, R.; Ron-Magaña, A.; Madero, M.; Ramírez-Ramírez, A.C.; Rifkin, B.S.; Torres-Vázquez, E.; Chávez-Alonso, G.; Gómez-Fregoso, J.A.; Rodríguez-García, G.; et al. Methemoglobinemia in Hemodialysis Patients due to Acute Chlorine Intoxication: A Case Series Calling Attention on an Old Problem. Blood Purif. 2023, 52, 835–843. [Google Scholar] [CrossRef]
  89. D'Haese, P.C.; De Broe, M.E. Adequacy of dialysis: Trace elements in dialysis fluids. Nephrol. Dial. Transplant. 1996, 11 (Suppl. 2), 92–97. [Google Scholar] [CrossRef]
  90. Humudat, Y.R.; Al-Naseri, S.K. Heavy Metals in Dialysis Fluid and Blood Samples from Hemodialysis Patients in Dialysis Centers in Baghdad, Iraq. J. Health Pollut. 2020, 10, 200901. [Google Scholar] [CrossRef]
  91. Hilborn, E.D.; Soares, R.M.; Servaites, J.C.; Delgado, A.G.; Magalhães, V.F.; Carmichael, W.W.; Azevedo, S.M. Sublethal microcystin exposure and biochemical outcomes among hemodialysis patients. PLoS ONE 2013, 8, e69518. [Google Scholar] [CrossRef]
  92. Jochimsen, E.M.; Carmichael, W.W.; An, J.; Cardo, D.M.; Cookson, S.T.; Holmes, C.E.; Antunes, M.B.; de Melo Filho, D.A.; Lyra, T.M.; Barreto, V.S.; et al. Liver failure and death after exposure to microcystins at a hemodialysis center in Brazil. N. Engl. J. Med. 1998, 338, 873–878. [Google Scholar] [CrossRef]
  93. Pouria, S.; de Andrade, A.; Barbosa, J.; Cavalcanti, R.L.; Barreto, V.T.; Ward, C.J.; Preiser, W.; Poon, G.K.; Neild, G.H.; Codd, G.A. Fatal microcystin intoxication in haemodialysis unit in Caruaru, Brazil. Lancet 1998, 352, 21–26. [Google Scholar] [CrossRef]
  94. Gejyo, F.; Homma, N.; Suzuki, Y.; Arakawa, M. Serum levels of beta 2-microglobulin as a new form of amyloid protein in patients undergoing long-term hemodialysis. N. Engl. J. Med. 1986, 314, 585–586. [Google Scholar] [PubMed]
  95. Gejyo, F.; Odani, S.; Yamada, T.; Honma, N.; Saito, H.; Suzuki, Y.; Nakagawa, Y.; Kobayashi, H.; Maruyama, Y.; Hirasawa, Y.; et al. Beta 2-microglobulin: A new form of amyloid protein associated with chronic hemodialysis. Kidney Int. 1986, 30, 385–390. [Google Scholar] [CrossRef] [PubMed]
  96. Bardin, T.; Zingraff, J.; Kuntz, D.; Drüeke, T. Dialysis-related amyloidosis. Nephrol. Dial. Transplant. 1986, 1, 151–154. [Google Scholar] [PubMed]
  97. Drüeke, T.; Touam, M.; Zingraff, J. Dialysis-associated amyloidosis. Adv. Ren. Replace. Ther. 1995, 2, 24–39. [Google Scholar] [CrossRef]
  98. Koch, K.M. Dialysis-related amyloidosis. Kidney Int. 1992, 41, 1416–1429. [Google Scholar] [CrossRef]
  99. Miyata, T.; Jadoul, M.; Kurokawa, K.; Van Ypersele de Strihou, C. Beta-2 microglobulin in renal disease. J. Am. Soc. Nephrol. 1998, 9, 1723–1735. [Google Scholar] [CrossRef]
  100. Schwalbe, S.; Holzhauer, M.; Schaeffer, J.; Galanski, M.; Koch, K.M.; Floege, J. Beta 2-microglobulin associated amyloidosis: A vanishing complication of long-term hemodialysis? Kidney Int. 1997, 52, 1077–1083. [Google Scholar] [CrossRef]
  101. Portales-Castillo, I.; Yee, J.; Tanaka, H.; Fenves, A.Z. Beta-2 Microglobulin Amyloidosis: Past, Present, and Future. Kidney360 2020, 1, 1447–1455. [Google Scholar] [CrossRef]
  102. Lindner, A.; Charra, B.; Sherrard, D.J.; Scribner, B.H. Accelerated atherosclerosis in prolonged maintenance hemodialysis. N. Engl. J. Med. 1974, 290, 697–701. [Google Scholar] [CrossRef]
  103. Poznyak, A.V.; Sadykhov, N.K.; Kartuesov, A.G.; Borisov, E.E.; Sukhorukov, V.N.; Orekhov, A.N. Atherosclerosis Specific Features in Chronic Kidney Disease (CKD). Biomedicines 2022, 10, 2094. [Google Scholar] [CrossRef] [PubMed]
  104. Zimmermann, J.; Herrlinger, S.; Pruy, A.; Metzger, T.; Wanner, C. Inflammation enhances cardiovascular risk and mortality in hemodialysis patients. Kidney Int. 1999, 55, 648–658. [Google Scholar] [CrossRef] [PubMed]
  105. Pecoits-Filho, R.; Lindholm, B.; Stenvinkel, P. The malnutrition, inflammation, and atherosclerosis (MIA) syndrome—The heart of the matter. Nephrol. Dial. Transplant. 2002, 17 (Suppl. 11), 28–31. [Google Scholar] [CrossRef] [PubMed]
  106. Stenvinkel, P.; Heimbürger, O.; Paultre, F.; Diczfalusy, U.; Wang, T.; Berglund, L.; Jogestrand, T. Strong association between malnutrition, inflammation, and atherosclerosis in chronic renal failure. Kidney Int. 1999, 55, 1899–1911. [Google Scholar] [CrossRef]
  107. Valdivielso, J.M.; Rodríguez-Puyol, D.; Pascual, J.; Barrios, C.; Bermúdez-López, M.; Sánchez-Niño, M.D.; Pérez-Fernández, M.; Ortiz, A. Atherosclerosis in Chronic Kidney Disease: More, Less, or Just Different? Arterioscler. Thromb. Vasc. Biol. 2019, 39, 1938–1966. [Google Scholar] [CrossRef]
  108. Davenport, A.; Peters, S.A.; Bots, M.L.; Canaud, B.; Grooteman, M.P.; Asci, G.; Locatelli, F.; Maduell, F.; Morena, M.; Nubé, M.J.; et al. Higher convection volume exchange with online hemodiafiltration is associated with survival advantage for dialysis patients: The effect of adjustment for body size. Kidney Int. 2016, 89, 193–199. [Google Scholar] [CrossRef]
  109. Peters, S.A.; Bots, M.L.; Canaud, B.; Davenport, A.; Grooteman, M.P.; Kircelli, F.; Locatelli, F.; Maduell, F.; Morena, M.; Nubé, M.J.; et al. Haemodiafiltration and mortality in end-stage kidney disease patients: A pooled individual participant data analysis from four randomized controlled trials. Nephrol. Dial. Transplant. 2016, 31, 978–984. [Google Scholar] [CrossRef]
  110. Cheung, A.K.; Sarnak, M.J.; Yan, G.; Berkoben, M.; Heyka, R.; Kaufman, A.; Lewis, J.; Rocco, M.; Toto, R.; Windus, D.; et al. Cardiac diseases in maintenance hemodialysis patients: Results of the HEMO Study. Kidney Int. 2004, 65, 2380–2389. [Google Scholar] [CrossRef]
  111. Echefu, G.; Stowe, I.; Burka, S.; Basu-Ray, I.; Kumbala, D. Pathophysiological concepts and screening of cardiovascular disease in dialysis patients. Front. Nephrol. 2023, 3, 1198560. [Google Scholar] [CrossRef]
  112. Jankowski, J.; Floege, J.; Fliser, D.; Bohm, M.; Marx, N. Cardiovascular Disease in Chronic Kidney Disease: Pathophysiological Insights and Therapeutic Options. Circulation 2021, 143, 1157–1172. [Google Scholar] [CrossRef]
  113. Coresh, J.; Longenecker, J.C.; Miller, E.R., 3rd; Young, H.J.; Klag, M.J. Epidemiology of cardiovascular risk factors in chronic renal disease. J. Am. Soc. Nephrol. 1998, 9 (Suppl. 12), S24–S30. [Google Scholar] [PubMed]
  114. Foley, R.N.; Parfrey, P.S.; Sarnak, M.J. Epidemiology of cardiovascular disease in chronic renal disease. J. Am. Soc. Nephrol. 1998, 9 (Suppl. 12), S16–S23. [Google Scholar] [CrossRef] [PubMed]
  115. Foley, R.N.; Parfrey, P.S.; Sarnak, M.J. Clinical epidemiology of cardiovascular disease in chronic renal disease. Am. J. Kidney Dis. 1998, 32 (Suppl. 3), S112–S119. [Google Scholar] [CrossRef] [PubMed]
  116. Eknoyan, G.; Lameire, N.; Barsoum, R.; Eckardt, K.U.; Levin, A.; Levin, N.; Locatelli, F.; Macleod, A.; Vanholder, R.; Walker, R.; et al. The burden of kidney disease: Improving global outcomes. Kidney Int. 2004, 66, 1310–1314. [Google Scholar] [CrossRef] [PubMed]
  117. Canaud, B.; Kooman, J.P.; Selby, N.M.; Taal, M.; Maierhofer, A.; Kopperschmidt, P.; Francis, S.; Collins, A.; Kotanko, P. Hidden risks associated with conventional short intermittent hemodialysis: A call for action to mitigate cardiovascular risk and morbidity. World J. Nephrol. 2022, 11, 39–57. [Google Scholar] [CrossRef]
  118. Carrero, J.J.; Stenvinkel, P.; Cuppari, L.; Ikizler, T.A.; Kalantar-Zadeh, K.; Kaysen, G.; Mitch, W.E.; Price, S.R.; Wanner, C.; Wang, A.Y.; et al. Etiology of the protein- energy wasting syndrome in chronic kidney disease: A consensus statement from the International Society of Renal Nutrition and Metabolism (ISRNM). J. Ren. Nutr. 2013, 23, 77–90. [Google Scholar] [CrossRef]
  119. Carrero, J.J.; Thomas, F.; Nagy, K.; Arogundade, F.; Avesani, C.M.; Chan, M.; Chmielewski, M.; Cordeiro, A.C.; Espinosa-Cuevas, A.; Fiaccadori, E.; et al. Global Prevalence of Protein- Energy Wasting in Kidney Disease: A Meta-analysis of Contemporary Observational Studies from the International Society of Renal Nutrition and Metabolism. J. Ren. Nutr. 2018, 28, 380–392. [Google Scholar] [CrossRef]
  120. Canaud, B.; Morena-Carrere, M.; Leray-Moragues, H.; Cristol, J.P. Fluid Overload and Tissue Sodium Accumulation as Main Drivers of Protein Energy Malnutrition in Dialysis Patients. Nutrients 2022, 14, 4489. [Google Scholar] [CrossRef]
  121. Bergström, J. Factors causing catabolism in maintenance hemodialysis patients. Miner. Electrolyte Metab. 1992, 18, 280–283. [Google Scholar]
  122. Gutierrez, A.; Alvestrand, A.; Bergström, J. Membrane selection and muscle protein catabolism. Kidney Int. Suppl. 1992, 38, S86–S90. [Google Scholar]
  123. Löfberg, E.; Essen, P.; McNurlan, M.; Wernerman, J.; Garlick, P.; Anderstam, B.; Bergström, J.; Alvestrand, A. Effect of hemodialysis on protein synthesis. Clin. Nephrol. 2000, 54, 284–294. [Google Scholar] [PubMed]
  124. Gamboa, J.L.; Roshanravan, B.; Towse, T.; Keller, C.A.; Falck, A.M.; Yu, C.; Frontera, W.R.; Brown, N.J.; Ikizler, T.A. Skeletal Muscle Mitochondrial Dysfunction Is Present in Patients with CKD before Initiation of Maintenance Hemodialysis. Clin. J. Am. Soc. Nephrol. 2020, 15, 926–936. [Google Scholar] [CrossRef] [PubMed]
  125. Ryan, A.S. Role of Skeletal Muscle Mitochondrial Dysfunction in CKD. Clin. J. Am. Soc. Nephrol. 2020, 15, 912–913. [Google Scholar] [CrossRef] [PubMed]
  126. Chazot, G.; Lemoine, S.; Kocevar, G.; Kalbacher, E.; Sappey-Marinier, D.; Rouvière, O.; Juillard, L. Intracellular Phosphate and ATP Depletion Measured by Magnetic Resonance Spectroscopy in Patients Receiving Maintenance Hemodialysis. J. Am. Soc. Nephrol. 2021, 32, 229–237. [Google Scholar] [CrossRef]
  127. Molina, P.; Vizcaíno, B.; Molina, M.D.; Beltrán, S.; González-Moya, M.; Mora, A.; Castro-Alonso, C.; Kanter, J.; Ávila, A.I.; Górriz, J.L.; et al. The effect of high-volume online haemodiafiltration on nutritional status and body composition: The ProtEin Stores prEservaTion (PESET) study. Nephrol. Dial. Transplant. 2018, 33, 1223–1235. [Google Scholar] [CrossRef]
  128. Panichi, V.; Manca-Rizza, G.; Paoletti, S.; Taccola, D.; Consani, C.; Filippi, C.; Mantuano, E.; Sidoti, A.; Grazi, G.; Antonelli, A.; et al. Effects on inflammatory and nutritional markers of haemodiafiltration with online regeneration of ultrafiltrate (HFR) vs online haemodiafiltration: A cross-over randomized multicentre trial. Nephrol. Dial. Transplant. 2006, 21, 756–762. [Google Scholar] [CrossRef]
  129. Parker, T.F., 3rd; Wingard, R.L.; Husni, L.; Ikizler, T.A.; Parker, R.A.; Hakim, R.M. Effect of the membrane biocompatibility on nutritional parameters in chronic hemodialysis patients. Kidney Int. 1996, 49, 551–556. [Google Scholar] [CrossRef]
  130. Schiffl, H.; Lang, S.M.; Stratakis, D.; Fischer, R. Effects of ultrapure dialysis fluid on nutritional status and inflammatory parameters. Nephrol. Dial. Transplant. 2001, 16, 1863–1869. [Google Scholar] [CrossRef]
  131. Stenvinkel, P.; Larsson, T.E. Chronic Kidney Disease: A Clinical Model of Premature Aging. Am. J. Kidney Dis. 2013, 62, 339–351. [Google Scholar] [CrossRef]
  132. Losappio, V.; Franzin, R.; Infante, B.; Godeas, G.; Gesualdo, L.; Fersini, A.; Castellano, G.; Stallone, G. Molecular Mechanisms of Premature Aging in Hemodialysis: The Complex Interplay Between Innate and Adaptive Immune Dysfunction. Int. J. Mol. Sci. 2020, 21, 3422. [Google Scholar] [CrossRef]
  133. Ortiz, A.; Mattace-Raso, F.; Soler, M.J.; Fouque, D. Ageing meets kidney disease. Nephrol. Dial. Transplant. 2023, 38, 523–526. [Google Scholar] [CrossRef] [PubMed]
  134. Ebert, T.; Neytchev, O.; Witasp, A.; Kublickiene, K.; Stenvinkel, P.; Shiels, P.G. Inflammation and Oxidative Stress in Chronic Kidney Disease and Dialysis Patients. Antioxid. Redox Signal. 2021, 35, 1426–1448. [Google Scholar] [CrossRef] [PubMed]
  135. Carracedo, J.; Merino, A.; Nogueras, S.; Carretero, D.; Berdud, I.; Rami, R.; Tetta, C.; Rodri, M.; Marti, A.; Aljama, P. On-line hemodiafiltration reduces the proinflammatory CD14+CD16+ monocyte-derived dendritic cells: A prospective, crossover study. J. Am. Soc. Nephrol. 2006, 17, 2315–2321. [Google Scholar] [CrossRef] [PubMed]
  136. Lang, S.M.; Becker, A.; Fischer, R.; Huber, R.M.; Schiffl, H. Acute effects of hemodialysis on lung function in patients with end-stage renal disease. Wien. Klin. Wochenschr. 2006, 118, 108–113. [Google Scholar] [CrossRef] [PubMed]
  137. Zoccali, C.; Tripepi, R.; Torino, C.; Bellantoni, M.; Tripepi, G.; Mallamaci, F. Lung congestion as a risk factor in end-stage renal disease. Blood Purif. 2013, 36, 184–191. [Google Scholar] [CrossRef]
  138. Yigla, M.; Abassi, Z.; Reisner, S.A.; Nakhoul, F. Pulmonary hypertension in hemodialysis patients: An unrecognized threat. Semin. Dial. 2006, 19, 353–357. [Google Scholar] [CrossRef]
  139. Zhang, X.; Xiao, K.; Li, L.; Wang, N.; Cong, T.; Wei, Y.; Cao, S.; Wen, X.; Meng, Q.; Lin, H.; et al. Clinical influencing factors affecting pulmonary hypertension in hemodialysis patients. Kidney Res. Clin. Pract. 2023. [Google Scholar] [CrossRef]
  140. Campos, I.; Chan, L.; Zhang, H.; Deziel, S.; Vaughn, C.; Meyring-Wösten, A.; Kotanko, P. Intradialytic Hypoxemia in Chronic Hemodialysis Patients. Blood Purif. 2016, 41, 177–187. [Google Scholar] [CrossRef]
  141. Meyring-Woesten, A.; Zhang, H.; Ye, X.; Fuertinger, D.H.; Chan, L.; Kappel, F.; Artemyev, M.; Ginsberg, N.; Wang, Y.; Thijssen, S.; et al. Intradialytic Hypoxemia and Clinical Outcomes in Patients on Hemodialysis. Clin. J. Am. Soc. Nephrol. 2016, 11, 616–625. [Google Scholar] [CrossRef]
  142. Kooman, J.P.; Stenvinkel, P.; Shiels, P.G.; Feelisch, M.; Canaud, B.; Kotanko, P. The oxygen cascade in patients treated with hemodialysis and native high-altitude dwellers: Lessons from extreme physiology to benefit patients with end-stage renal disease. Am. J. Physiol. Renal Physiol. 2021, 320, F249–F261. [Google Scholar] [CrossRef]
  143. Swift, O.; Sharma, S.; Ramanarayanan, S.; Umar, H.; Laws, K.R.; Vilar, E.; Farrington, K. Prevalence and outcomes of chronic liver disease in patients receiving dialysis: Systematic review and meta-analysis. Clin. Kidney J. 2022, 15, 747–757. [Google Scholar] [CrossRef] [PubMed]
  144. Leong, A.S.; Disney, A.P.; Gove, D.W. Spallation and migration of silicone from blood-pump tubing in patients on hemodialysis. N. Engl. J. Med. 1982, 306, 135–140. [Google Scholar] [CrossRef] [PubMed]
  145. Gagnon, A.L.; Desai, T. Dermatological diseases in patients with chronic kidney disease. J. Nephropathol. 2013, 2, 104–109. [Google Scholar] [CrossRef]
  146. Escamilla, D.A.; Lakhani, A.; Antony, S.; Villegas, K.N.; Gupta, M.; Ramnath, P.; Pineda, M.I.; Bedor, A.; Banegas, D.; Martinez, E.C. Dermatological Manifestations in Patients with Chronic Kidney Disease: A Review. Cureus 2024, 16, e52253. [Google Scholar] [CrossRef] [PubMed]
  147. Gafter, U.; Mamet, R.; Korzets, A.; Malachi, T.; Schoenfeld, N. Bullous dermatosis of end-stage renal disease: A possible association between abnormal porphyrin metabolism and aluminium. Nephrol. Dial. Transplant. 1996, 11, 1787–1791. [Google Scholar] [CrossRef]
  148. Yang, L.Y.; Wang, Y.L.; Zuo, Y.G. Pemphigoid diseases in patients with end-stage kidney diseases: Pathogenesis and treatment. Front. Immunol. 2024, 15, 1427943. [Google Scholar] [CrossRef]
  149. Steiger, S.; Rossaint, J.; Zarbock, A.; Anders, H.J. Secondary Immunodeficiency Related to Kidney Disease (SIDKD)-Definition, Unmet Need, and Mechanisms. J. Am. Soc. Nephrol. 2022, 33, 259–278. [Google Scholar] [CrossRef]
  150. Kato, S.; Chmielewski, M.; Honda, H.; Pecoits-Filho, R.; Matsuo, S.; Yuzawa, Y.; Tranaeus, A.; Stenvinkel, P.; Lindholm, B. Aspects of immune dysfunction in end-stage renal disease. Clin. J. Am. Soc. Nephrol. 2008, 3, 1526–1533. [Google Scholar] [CrossRef]
  151. Carracedo, J.; Ramírez, R.; Madueño, J.A.; Soriano, S.; Rodríguez-Benot, A.; Rodríguez, M.; Martín-Malo, A.; Aljama, P. Cell apoptosis and hemodialysis-induced inflammation. Kidney Int. Suppl. 2002, 61, 89–93. [Google Scholar] [CrossRef]
  152. Franzin, R.; Stasi, A.; Caggiano, G.; Squiccimarro, E.; Losappio, V.; Fiorentino, M.; Alfieri, C.; Stallone, G.; Gesualdo, L.; Castellano, G. Enhancing Immune Protection in Hemodialysis Patients: Role of the Polymethyl Methacrylate Membrane. Blood Purif. 2023, 52 (Suppl. 1), 1–13. [Google Scholar] [CrossRef]
  153. Vilar, E.; Farrington, K. Emerging importance of residual renal function in end-stage renal failure. Semin. Dial. 2011, 24, 487–494. [Google Scholar] [CrossRef] [PubMed]
  154. Shinkman, R. The Big Business of Dialysis Care. Catal. Carryover. 2016, 2. [Google Scholar]
  155. Vanholder, R.; Annemans, L.; Brown, E.; Gansevoort, R.; Gout-Zwart, J.J.; Lameire, N.; Morton, R.L.; Oberbauer, R.; Postma, M.J.; Tonelli, M.; et al. Reducing the costs of chronic kidney disease while delivering quality health care: A call to action. Nat. Rev. Nephrol. 2017, 13, 393–409. [Google Scholar] [CrossRef] [PubMed]
  156. Vanholder, R.; Van Biesen, W.; Lameire, N. Renal replacement therapy: How can we contain the costs? Lancet 2014, 383, 1783–1785. [Google Scholar] [CrossRef] [PubMed]
  157. Abdelrasoul, A.; Westphalen, H.; Saadati, S.; Shoker, A. Hemodialysis biocompatibility mathematical models to predict the inflammatory biomarkers released in dialysis patients based on hemodialysis membrane characteristics and clinical practices. Sci. Rep. 2021, 11, 23080. [Google Scholar] [CrossRef]
  158. Busink, E.; Kendzia, D.; Kircelli, F.; Boeger, S.; Petrovic, J.; Smethurst, H.; Mitchell, S.; Apel, C. A systematic review of the cost-effectiveness of renal replacement therapies, and consequences for decision-making in the end-stage renal disease treatment pathway. Eur. J. Health Econ. 2023, 24, 377–392. [Google Scholar] [CrossRef]
  159. Chu, H.; Yang, C.; Lin, Y.; Wu, J.; Kong, G.; Li, P.; Zhang, L.; Zhao, M.; China Kidney Disease Network Work Group. Hospitalizations of Chronic Dialysis Patients: A National Study in China. Kidney Dis. 2023, 9, 298–305. [Google Scholar] [CrossRef]
  160. Usvyat, L.A.; Kooman, J.P.; van der Sande, F.M.; Wang, Y.; Maddux, F.W.; Levin, N.W.; Kotanko, P. Dynamics of hospitalizations in hemodialysis patients: Results from a large US provider. Nephrol. Dial. Transplant. 2014, 29, 442–448. [Google Scholar] [CrossRef]
  161. Murphy, S.W.; Foley, R.N.; Barrett, B.J.; Kent, G.M.; Morgan, J.; Barré, P.; Campbell, P.; Fine, A.; Goldstein, M.B.; Handa, S.P.; et al. Comparative hospitalization of hemodialysis and peritoneal dialysis patients in Canada. Kidney Int. 2000, 57, 2557–2563. [Google Scholar] [CrossRef]
  162. Plantinga, L.C.; Jaar, B.G. Preventing repeat hospitalizations in dialysis patients: A call for action. Kidney Int. 2009, 76, 249–251. [Google Scholar] [CrossRef]
  163. Chan, K.E.; Lazarus, J.M.; Wingard, R.L.; Hakim, R.M. Association between repeat hospitalization and early intervention in dialysis patients following hospital discharge. Kidney Int. 2009, 76, 331–341. [Google Scholar] [CrossRef] [PubMed]
  164. Walker, R.C.; Howard, K.; Tong, A.; Palmer, S.C.; Marshall, M.R.; Morton, R.L. The economic considerations of patients and caregivers in choice of dialysis modality. Hemodial. Int. 2016, 20, 634–642. [Google Scholar] [CrossRef] [PubMed]
  165. Walker, R.; Marshall, M.R.; Morton, R.L.; McFarlane, P.; Howard, K. The cost-effectiveness of contemporary home haemodialysis modalities compared with facility haemodialysis: A systematic review of full economic evaluations. Nephrology 2014, 19, 459–470. [Google Scholar] [CrossRef] [PubMed]
  166. Treharne, C.; Liu, F.X.; Arici, M.; Crowe, L.; Farooqui, U. Peritoneal dialysis and in-centre haemodialysis: A cost- utility analysis from a UK payer perspective. Appl. Health Econ. Health Policy 2014, 12, 409–420. [Google Scholar] [CrossRef] [PubMed]
  167. Kodierleitfaden. Nephrologie 2021 of the German Society for Nephrology. 2021. Available online: https://wwwmydrgde/kodierleitfaden/kodierleitfaden2021html#kodierleitfaden2021 (accessed on 13 October 2024).
  168. England, N. National Tariff Payment System. 2021. Available online: https://wwwenglandnhsuk/pay-syst/national-tariff/national-tariff-payment-system/ (accessed on 13 October 2024).
  169. Marcelli, D.; Bayh, I.; Merello, J.I.; Ponce, P.; Heaton, A.; Kircelli, F.; Chazot, C.; Di Benedetto, A.; Marelli, C.; Ladanyi, E.; et al. Dynamics of the erythropoiesis stimulating agent resistance index in incident hemodiafiltration and high-flux hemodialysis patients. Kidney Int. 2016, 90, 192–202. [Google Scholar] [CrossRef]
  170. Stefansson, B.V.; Abramson, M.; Nilsson, U.; Haraldsson, B. Hemodiafiltration improves plasma 25-hepcidin levels: A prospective, randomized, blinded, cross-over study comparing hemodialysis and hemodiafiltration. Nephron Extra 2012, 2, 55–65. [Google Scholar] [CrossRef]
  171. Pedrini, L.A.; Zawada, A.M.; Winter, A.C.; Pham, J.; Klein, G.; Wolf, M.; Feuersenger, A.; Ruggiero, P.; Feliciani, A.; Barbieri, C.; et al. Effects of high-volume online mixed- hemodiafiltration on anemia management in dialysis patients. PLoS ONE 2019, 14, e0212795. [Google Scholar] [CrossRef]
  172. Nesrallah, G.E.; Lindsay, R.M.; Cuerden, M.S.; Garg, A.X.; Port, F.; Austin, P.C.; Moist, L.M.; Pierratos, A.; Chan, C.T.; Zimmerman, D.; et al. Intensive hemodialysis associates with improved survival compared with conventional hemodialysis. J. Am. Soc. Nephrol. 2012, 23, 696–705. [Google Scholar] [CrossRef]
  173. Farzi, S.; Farzi, S.; Moladoost, A.; Ehsani, M.; Shahriari, M.; Moieni, M. Caring Burden and Quality of Life of Family Caregivers in Patients Undergoing Hemodialysis: A Descriptive-Analytic Study. Int. J. Community Based Nurs. Midwifery 2019, 7, 88–96. [Google Scholar]
  174. Jafari, H.; Ebrahimi, A.; Aghaei, A.; Khatony, A. The relationship between care burden and quality of life in caregivers of hemodialysis patients. BMC Nephrol. 2018, 19, 321. [Google Scholar] [CrossRef]
  175. van Oevelen, M.; Bonenkamp, A.A.; van Eck van der Sluijs, A.; Bos, W.J.; Douma, C.E.; van Buren, M.; Meuleman, Y.; Dekker, F.W.; van Jaarsveld, B.C.; Abrahams, A.C. Health-related quality of life and symptom burden in patients on haemodialysis. Nephrol. Dial. Transplant. 2024, 39, 436–444. [Google Scholar] [CrossRef] [PubMed]
  176. Krishnan, A.; Teixeira-Pinto, A.; Lim, W.H.; Howard, K.; Chapman, J.R.; Castells, A.; Roger, S.D.; Bourke, M.J.; Macaskill, P.; Williams, G.; et al. Health-Related Quality of Life in People across the Spectrum of, C.K.D. Kidney Int. Rep. 2020, 5, 2264–2274. [Google Scholar] [CrossRef] [PubMed]
  177. Guedes, M.; Guetter, C.R.; Erbano, L.H.; Palone, A.G.; Zee, J.; Robinson, B.M.; Pisoni, R.; de Moraes, T.P.; Pecoits-Filho, R.; Baena, C.P. Physical health-related quality of life at higher achieved hemoglobin levels among chronic kidney disease patients: A systematic review and meta-analysis. BMC Nephrol. 2020, 21, 259. [Google Scholar] [CrossRef] [PubMed]
  178. Finkelstein, F.O.; Finkelstein, S.H.; Wuerth, D.; Shirani, S.; Troidle, L. Effects of home hemodialysis on health- related quality of life measures. Semin. Dial. 2007, 20, 265–268. [Google Scholar] [CrossRef] [PubMed]
  179. Kraus, M.A.; Fluck, R.J.; Weinhandl, E.D.; Kansal, S.; Copland, M.; Komenda, P.; Finkelstein, F.O. Intensive Hemodialysis and Health-Related Quality of Life. Am. J. Kidney Dis. 2016, 68, S33–S42. [Google Scholar] [CrossRef] [PubMed]
  180. Ethier, I.; Nevis, I.; Suri, R.S. Quality of Life and Hemodynamic Effects of Switching From Hemodialysis to Hemodiafiltration: A Canadian Controlled Cohort Study. Can. J. Kidney Health Dis. 2021, 8, 20543581211057717. [Google Scholar] [CrossRef]
  181. Kawanishi, H.; Koremoto, M.; Franssen, C.F.M.; van Londen, M. Clotting Propensity of Surface-Treated Membranes in a Hemodialysis Set-up That Avoids Systemic Anticoagulation. Semin. Nephrol. 2023, 43, 151482. [Google Scholar] [CrossRef]
  182. Ehlerding, G.; Erlenkötter, A.; Gauly, A.; Griesshaber, B.; Kennedy, J.; Rauber, L.; Ries, W.; Schmidt-Gürtler, H.; Stauss-Grabo, M.; Wagner, S.; et al. Performance and Hemocompatibility of a Novel Polysulfone Dialyzer: A Randomized Controlled Trial. Kidney360 2021, 2, 937–947. [Google Scholar] [CrossRef]
  183. Melchior, P.; Erlenkötter, A.; Zawada, A.M.; Delinski, D.; Schall, C.; Stauss-Grabo, M.; Kennedy, J.P. Complement activation by dialysis membranes and its association with secondary membrane formation and surface charge. Artif. Organs. 2021, 45, 770–778. [Google Scholar] [CrossRef]
  184. Zawada, A.M.; Lang, T.; Ottillinger, B.; Kircelli, F.; Stauss-Grabo, M.; Kennedy, J.P. Impact of Hydrophilic Modification of Synthetic Dialysis Membranes on Hemocompatibility and Performance. Membranes 2022, 12, 932. [Google Scholar] [CrossRef]
  185. Zawada, A.M.; Melchior, P.; Erlenkötter, A.; Delinski, D.; Stauss-Grabo, M.; Kennedy, J.P. Polyvinylpyrrolidone in hemodialysis membranes: Impact on platelet loss during hemodialysis. Hemodial. Int. 2021, 25, 498–506. [Google Scholar] [CrossRef] [PubMed]
  186. Gauly, A.; Fleck, N.; Kircelli, F. Advanced hemodialysis equipment for more eco-friendly dialysis. Int. Urol. Nephrol. 2022, 54, 1059–1065. [Google Scholar] [CrossRef] [PubMed]
  187. Canaud, B.; Lucena, R.; Ward, R. Water and dialysis fluid purity for contemporary hemodialysis. Semin. Dial. 2023, 983. [Google Scholar] [CrossRef] [PubMed]
  188. Canaud, B.; Lertdumrongluk, P. Ultrapure dialysis fluid: A new standard for contemporary hemodialysis. Nephrourol. Mon. 2012, 4, 519–523. [Google Scholar] [CrossRef]
  189. Blankestijn, P.J.; Vernooij, R.W.; Hockham, C.; Strippoli, G.F.; Canaud, B.; Hegbrant, J.; Barth, C.; Covic, A.; Cromm, K.; Cucui, A.; et al. Effect of Hemodiafiltration or Hemodialysis on Mortality in Kidney Failure. N. Engl. J. Med. 2023, 389, 700–709. [Google Scholar] [CrossRef]
  190. Vernooij, R.W.; Bots, M.L.; Strippoli, G.F.; Canaud, B.; Cromm, K.; Woodward, M.; Blankestijn, P.J.; CONVINCE scientific committee. CONVINCE in the context of existing evidence on haemodiafiltration. Nephrol. Dial. Transplant. 2022, 37, 1006–1013. [Google Scholar] [CrossRef]
  191. O'Hare, A.M. Patient-Centered Care in Renal Medicine: Five Strategies to Meet the Challenge. Am. J. Kidney Dis. 2018, 71, 732–736. [Google Scholar] [CrossRef]
  192. Masakane, I.; Ito, M.; Tanida, H.; Nawano, T. Patient-Centered Care Could Improve Quality of Life and Survival of Dialysis Patients: Dialysis Prescription and Daily Practice. Blood Purif. 2023, 52 (Suppl. 1), 1–12. [Google Scholar] [CrossRef]
  193. Canaud, B.; Davenport, A.; Leray-Moragues, H.; Morena-Carrere, M.; Cristol, J.P.; Kooman, J.; Kotanko, P. Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients. Toxins 2024, 16, 211. [Google Scholar] [CrossRef]
  194. Shinkman, R. Is “Empowered Dialysis” the Key to Better Outcomes? Catal. Carryover. 2018, 4. [Google Scholar]
  195. Nygårdh, A.; Malm, D.; Wikby, K.; Ahlström, G. The complexity in the implementation process of empowerment-based chronic kidney care: A case study. BMC Nurs. 2014, 13, 22. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Hemoincompatibility reactions induced by membrane contact and dialysis fluid contaminants result in the activation of various protein cascades and cells, leading to mediator release, reactions, and organ damage; ROS, reactive oxygen species; NETosis, Neutrophil Extracellular Trap Formation; MPO, myeloperoxidase; C3a, C5a, SC5b-9, Complement fractions; NFkB, Nuclear Factor-kappa B; NO, Nitric Oxide; ET1, Endothelin 1.
Figure 1. Hemoincompatibility reactions induced by membrane contact and dialysis fluid contaminants result in the activation of various protein cascades and cells, leading to mediator release, reactions, and organ damage; ROS, reactive oxygen species; NETosis, Neutrophil Extracellular Trap Formation; MPO, myeloperoxidase; C3a, C5a, SC5b-9, Complement fractions; NFkB, Nuclear Factor-kappa B; NO, Nitric Oxide; ET1, Endothelin 1.
Jcm 13 06165 g001
Figure 2. (A) Clinical outcomes and health implications of acute or subacute hemoincompatibility reactions induced by hemodialysis. (B) Clinical outcomes and health implications of chronic or delayed complications of hemoincompatibility reactions induced by hemodialysis.
Figure 2. (A) Clinical outcomes and health implications of acute or subacute hemoincompatibility reactions induced by hemodialysis. (B) Clinical outcomes and health implications of chronic or delayed complications of hemoincompatibility reactions induced by hemodialysis.
Jcm 13 06165 g002aJcm 13 06165 g002b
Figure 3. Economic burden of bioincompatibility reactions associated with chronic hemodialysis.
Figure 3. Economic burden of bioincompatibility reactions associated with chronic hemodialysis.
Jcm 13 06165 g003
Figure 4. The cost-effectiveness plane for addressing hemodialysis-related hemoincompatibility reactions. Compared to a poorly hemocompatible HD system with high efficiency (red point in the middle), an enhanced hemocompatible HD system with high efficiency such as HDF (blue points) would result in better outcomes at lower or equivalent costs.
Figure 4. The cost-effectiveness plane for addressing hemodialysis-related hemoincompatibility reactions. Compared to a poorly hemocompatible HD system with high efficiency (red point in the middle), an enhanced hemocompatible HD system with high efficiency such as HDF (blue points) would result in better outcomes at lower or equivalent costs.
Jcm 13 06165 g004
Figure 5. Proposed strategies to mitigate risk associated with bioincompatibility reactions associated with chronic hemodialysis.
Figure 5. Proposed strategies to mitigate risk associated with bioincompatibility reactions associated with chronic hemodialysis.
Jcm 13 06165 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Hornig, C.; Bowry, S.K.; Kircelli, F.; Kendzia, D.; Apel, C.; Canaud, B. Hemoincompatibility in Hemodialysis-Related Therapies and Their Health Economic Perspectives. J. Clin. Med. 2024, 13, 6165. https://doi.org/10.3390/jcm13206165

AMA Style

Hornig C, Bowry SK, Kircelli F, Kendzia D, Apel C, Canaud B. Hemoincompatibility in Hemodialysis-Related Therapies and Their Health Economic Perspectives. Journal of Clinical Medicine. 2024; 13(20):6165. https://doi.org/10.3390/jcm13206165

Chicago/Turabian Style

Hornig, Carsten, Sudhir K. Bowry, Fatih Kircelli, Dana Kendzia, Christian Apel, and Bernard Canaud. 2024. "Hemoincompatibility in Hemodialysis-Related Therapies and Their Health Economic Perspectives" Journal of Clinical Medicine 13, no. 20: 6165. https://doi.org/10.3390/jcm13206165

APA Style

Hornig, C., Bowry, S. K., Kircelli, F., Kendzia, D., Apel, C., & Canaud, B. (2024). Hemoincompatibility in Hemodialysis-Related Therapies and Their Health Economic Perspectives. Journal of Clinical Medicine, 13(20), 6165. https://doi.org/10.3390/jcm13206165

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop