Search Results (322)

Background: Inflammation and nutritional status are known to affect outcomes in patients with chronic obstructive pulmonary disease (COPD). However, their prognostic relevance in critically ill COPD patients remains unclear. This study investigated whether C-reactive protein (CRP), serum albumin, and the CRP/albumin ratio (CAR) were associated with in-hospital mortality in ICU patients with COPD. Methods: We conducted a retrospective cohort study using data from the MIMIC-IV database. Adult ICU patients with a diagnosis of COPD were included. We analyzed CRP, albumin, CAR, glucose, lactate, and creatinine. The primary outcome was in-hospital mortality. Multivariable logistic regression was used to identify variables that were independently associated with in-hospital mortality. Subgroup analyses stratified by age and sex were performed. Results: We included 1000 ICU patients with COPD. In-hospital mortality was 19.6%. In univariate analyses, glucose, creatinine, and lactate levels were significantly higher in non-survivors. In multivariable models, only elevated creatinine (OR 1.60, 95% CI 1.01–2.53) remained independently associated with mortality, while glucose was no longer statistically significant. CRP, albumin, and CAR were not significantly associated with in-hospital mortality. Subgroup analyses showed consistent results across age and sex strata. Conclusion: In critically ill COPD patients, glucose and creatinine levels upon ICU admission were independently associated with in-hospital mortality, whereas inflammation- and nutrition-related markers, such as CRP, albumin, and CAR, were not. However, given that albumin is heavily influenced by systemic inflammation, it cannot serve as a standalone nutritional marker in the ICU setting. Composite nutritional scores such as the Nutritional Risk Screening (NRS-2002) or the Global Leadership Initiative on Malnutrition (GLIM), which were not available in the MIMIC-IV database, may provide more accurate assessments. These findings highlight the need for integrated risk models incorporating metabolic and renal parameters for early prognostication. Full article

Chronic kidney disease (CKD) affects over 850 million individuals worldwide, yet conventional risk stratification approaches fail to capture complex disease progression patterns. Current machine learning approaches suffer from inefficient parameter optimization and limited clinical interpretability. We developed an integrated framework combining advanced Bayesian optimization with explainable artificial intelligence for enhanced CKD risk assessment. Our approach employs XGBoost ensemble learning with intelligent parameter optimization through Optuna (a Bayesian optimization framework) and comprehensive interpretability analysis using SHAP (SHapley Additive exPlanations) to explain model predictions. To address algorithmic “black-box” limitations and enhance clinical trustworthiness, we implemented four-tier risk stratification using stratified cross-validation and balanced evaluation metrics that ensure equitable performance across all patient risk categories, preventing bias toward common cases while maintaining sensitivity for high-risk patients. The optimized model achieved exceptional performance with 92.4% accuracy, 91.9% F1-score, and 97.7% ROC-AUC, significantly outperforming 16 baseline algorithms by 7.9–18.9%. Bayesian optimization reduced computational time by 74% compared to traditional grid search while maintaining robust generalization. Model interpretability analysis identified CKD stage, albumin-creatinine ratio, and estimated glomerular filtration rate as primary predictors, fully aligning with established clinical guidelines. This framework delivers superior predictive accuracy while providing transparent, clinically-meaningful explanations for CKD risk stratification, addressing critical challenges in medical AI deployment: computational efficiency, algorithmic transparency, and equitable performance across diverse patient populations. Full article

(1) Background: Acute variceal bleeding (AVB) represents an important cause of upper gastrointestinal bleeding (UGIB). Several prognostic scores may be useful for assessing mortality and rebleeding risk, with the Glasgow-Blatchford score (GBS) and Rockall score being the most commonly used for non-variceal bleeding. Scores assessing liver failure (MELD and Child) do not reflect bleeding severity. The neutrophil-to-lymphocyte ratio (NLR) increases in UGIB and can predict survival and rebleeding. (2) Methods: We analyzed the predictive role of NLR, GBS, Rockall, AIMS65, Child, and MELD for mortality (48 h, 5-day, in-hospital, and 6-week) and rebleeding in AVB patients admitted to our hospital from 2017 to 2021. ROC analysis was performed, and a multivariate analysis with logistic regression was used to construct a simplified model. (3) Results: A total of 415 patients were admitted. NLR exhibited fair accuracy for 48-h mortality (AUC 0.718, 95% CI 0.597–0.839, p < 0.0001), with limited predictive value for medium-term mortality. The NLR accuracy was better than that of the GBS and Rockall score, similar to that of the AIMS65 and Child scores, but inferior to that of MELD. The value for all scores in predicting rebleeding was poor, with the highest AUC for the NLR. (4) Conclusions: The NLR exhibited reasonable accuracy in predicting short-term mortality in AVB. Our model (including NLR, age, creatinine, bilirubin, albumin, INR, platelet count, HCC, and etiology) demonstrated 80.72% accuracy in predicting 6-week mortality. Full article

Aim: To assess oxidative–inflammatory biomarker prediction of incident CKD after 1-year follow-up in a population with overweight/obesity and metabolic syndrome. Methods: Prospective nested case–control study comprising 117 CKD incident cases and 117 matched controls free of CKD after 1-year follow-up conducted in 55–75-year-old participants. Controls were time-matched 1:1 to cases by intervention group, age (≤65 vs. >65 years), and sex. Serum creatinine (SCr), cystatin C (CyC), and urine albumin-to-creatinine ratio (UACR) were measured at baseline, and CKD Epidemiology Collaboration equations for Caucasians were used to assess SCr, CyC, and CyC-SCr-based estimated Glomerular Filtration Rate (eGFR). Baseline levels of malondialdehyde (MDA), carbonyls, tumour necrosis factor alpha (TNFα), interleukin (IL)-1β, IL-1ra, IL-6, monocyte chemoattractant protein 1 (MCP-1), and leptin were determined from fasting serum samples. An inflammatory-oxidative stress score based on these biomarkers was calculated. Incident CKD was defined by eGFR-SCr <60 mL/min/1.73 m², and/or UACR ≥30 mg/g in the absence of CKD at baseline. Results: UACR positively correlated with pro-inflammatory markers (IL-1β; TNFα) and oxidative damage marker (MDA); eGFR-cyC showed negative correlations with IL-1β and IL-1ra, and eGFR-SCr with leptin. The odds ratios (OR; 95% CI) for incident CKD in the highest vs. the lowest tertile of IL-1ra IL-6 and TNFα were (2.22; 1.22–4.04), (7.03; 2.88–17.14), and (3.79; 1.79–8.02), respectively. The inflammatory–oxidative stress score was associated with incident CKD (OR per 1-SD increment: 2.06; 1.49–2.83). Conclusions: Inflammatory/oxidative stress is associated with CKD incidence in individuals with high cardiovascular risk, underscoring the importance in identify early inflammation to prevent this disease. Full article

Background/Objectives: The association between chronic kidney disease (CKD) and body size phenotypes in metabolically diverse but apparently healthy adult populations remains inadequately understood. This study investigated the association between CKD and body size phenotypes in a nationally representative sample of healthy Korean adults. Methods: Data from 8227 participants in the 2019–2021 Korean National Health and Nutrition Examination Survey were analyzed. Participants were categorized into four body size phenotypes by combining BMI status (normal weight or obese) with metabolic health status (healthy or abnormal)—MHNW (Metabolically Healthy Normal Weight), MANW (Metabolically Abnormal Normal Weight), MHO (Metabolically Healthy Obese), or MAO (Metabolically Abnormal Obese). CKD was defined based on the urine albumin-to-creatinine ratio and estimated glomerular filtration rate (eGFR). To assess the association between CKD and body size phenotypes, multivariable logistic regression analyses were performed. Results: CKD prevalence was 4.4%. MANW and MAO made up 12.6% and 26.4% of the CKD group, compared to 5.0% and 13.2% of the non-CKD group. CKD prevalence by phenotype was observed as follows: MHNW, 3.2%; MANW, 10.5%; MHO, 4.0%; and MAO, 8.5%. CKD odds were highest in the MAO group (OR: 3.770, 95% CI: 2.648–5.367), followed by the MANW (OR: 2.492, 95% CI: 1.547–4.016) and MHO (OR: 1.974, 95% CI: 1.358–2.870) groups. MAO individuals carried a higher CKD risk than MHO individuals (OR: 1.897, 95% CI: 1.221–2.945). Conclusions: Among apparently healthy adults, body size phenotypes—particularly those with metabolic abnormalities—were significantly associated with the presence of CKD. These findings highlight the need to assess both metabolic health and body composition for effective CKD prevention and management. Full article

CKD is a leading cause of illness in older cats, but early detection is challenging due to the limitations of conventional biomarkers. This study evaluated the clinical utility of the UAC for identifying early-stage renal dysfunction in cats and proposed a diagnostic matrix incorporating the UAC with other biomarkers. Blood and urine samples from 59 healthy cats and 190 cats with CKD were analyzed, and UAC levels were compared with symmetric dimethylarginine (SDMA), creatinine, and blood urea nitrogen (BUN). UAC values were significantly elevated in cats with CKD, including those in stage 1. Receiver operating characteristic analysis identified a UAC cut-off of 16.3 mg/g, yielding 100% specificity and 43.7% sensitivity for early-stage CKD classification. The UAC showed significant correlations with other renal biomarkers and was incorporated into a multi-parameter matrix to support disease staging. These findings suggest that the UAC may be a promising supplementary biomarker for evaluating renal function in cats and could aid clinical decision-making when interpreted in conjunction with established diagnostic parameters. Full article

Background and Objectives: Non-invasive imaging biomarkers for the early detection of chronic kidney allograft injury are needed to improve long-term transplant outcomes. T1 mapping by magnetic resonance imaging (MRI) has emerged as a promising method to assess renal structure and function. This study aimed to determine the potential of MRI as a diagnostic tool for evaluating graft function and structural changes in kidney grafts 1 year after transplantation. Materials and Methods: Thirty-four kidney transplant recipients were prospectively recruited, with 27 completing the follow-up at one year. Renal MRI at 3T was performed to acquire T1, T2, and apparent diffusion coefficient (ADC) maps. Clinical parameters, including estimated glomerular filtration rate (eGFR), albumin-to-creatinine ratio (ACR), protein-to-creatinine ratio (PCR), and histological IF/TA scores, were collected. MRI parameters were compared across the groups stratified by clinical and histological markers. Diagnostic accuracy was assessed using receiver operating characteristic (ROC) analysis. Results: At 1 year, T1 corticomedullary differentiation (CMD) values were significantly higher in patients with elevated ACR (≥3 mg/mmol), PCR (≥15 mg/mmol), and mild to moderate or severe IF/TA, reflecting a reduction in the corticomedullary gradient. T1 CMD demonstrated moderate-to-good diagnostic performance in detecting ACR (AUC 0.791), PCR (AUC 0.730), and IF/TA (AUC 0.839). No significant differences were observed in T2 or ADC values across these groups. T1 CMD also showed a significant positive correlation with ACR but not with eGFR, suggesting a closer association with structural rather than functional deterioration. Conclusions: T1 mapping, particularly T1 CMD, shows promise as a non-invasive imaging biomarker for detecting chronic allograft injury and monitoring renal function 1 year after kidney transplantation. Full article

This study was performed to assess the effects of grape pomace feeding on the immunoglobulin concentration in mammary gland secretions and the biochemical parameters of sows’ blood. This study presents unique results of sow blood parameters obtained during the first day postpartum. Sixteen gestating sows were included in the experiment. The experimental group (DGP) received a supplement of dried grape pomace in the amount of 1% of the basal diet from the 7th day antepartum until the end of lactation. Blood, colostrum, and milk were taken from the sows. On the 1st day postpartum, in the sows’ blood, higher values of total proteins and globulins, as well as lower values of aspartate aminotransferase, creatinine, and the albumin/globulin ratio, were recorded in DGP. There were no significant differences in the concentration of immunoglobulins in the blood of sows between the groups. Also, differences in the concentrations of immunoglobulins in the colostrum and milk of sows throughout lactation were not statistically significant. It can be stated that the feeding of dried grape pomace did not have a negative effect on the biochemical parameters of the sows’ blood, colostrum, and milk. In addition, there is a potential suggestion that the addition of dried grape pomace could have a positive effect on the antioxidant status of sows. Full article

Background/Objectives: The role of glycogen metabolism in diabetic kidney disease (DKD) remains unclear. This study investigated the therapeutic potential of asiatic acid (AA) on glycogen metabolism in DKD and its underlying mechanisms. Methods: A DKD mouse model was established using a high-fat diet and streptozotocin, followed by AA treatment for 8 weeks. Network pharmacology and molecular docking identified STBD1 as a potential target of AA, and its overexpression in mice was performed. Results: AA reduced blood glucose levels and the urinary albumin-to-creatinine ratio (UACR) and downregulated TGFβ-1, KIM-1, and PDK4. Additionally, AA treatment reversed abnormal glycogen accumulation and restored STBD1 expression. Network pharmacology and molecular docking identified STBD1 as a potential target of AA, and its overexpression in mice demonstrated similar beneficial effects. Gene enrichment analysis revealed that STBD1 is involved in key metabolic pathways related to DKD. Conclusions: These findings suggest that AA alleviates renal damage in DKD, possibly through modulation of STBD1, highlighting its therapeutic potential and the critical role of STBD1 in renal glycophagy. Full article

This study aimed to investigate the effects of dietary ISF:SF ratio on reproductive performance, biochemical parameters, colostrum composition, and fecal microbial composition in gestating sows. A total of 30 multiparous sows were randomly allocated to three dietary treatment groups: 8% inulin diet (ISF:SF 1.14, Inulin group), 8% cotton fiber diet (ISF:SF 6.61, Cotton group), and 4% inulin + 4% cotton fiber diet (ISF:SF 2.37, Inulin + Cotton group). The results showed that, compared to the other groups, the Inulin group had a significantly higher number of piglets born alive, as well as increased plasma concentrations of acetic acid, butyric acid, hexanoic acid, and total short-chain fatty acids (SCFAs) (p < 0.05). Sows in the Inulin group had significantly lower fecal scores than those in the other groups from days 81 to 85 and from days 106 to 110 of gestation (p < 0.05). On day 90 of gestation, the serum levels of albumin, urea, uric acid, calcium, and phosphorus in the Inulin group were significantly lower than those in the other groups (p < 0.05). Additionally, the serum levels of triacylglycerol in the Inulin + Cotton Fiber group were significantly higher than those in the other groups (p < 0.05). However, there were no significant differences in serum concentrations of total protein, creatinine, glucose, cholesterol, HDL-cholesterol, or LDL-cholesterol among the treatments (p > 0.05). On day 110 of gestation, the serum content of urea, uric acid, calcium, and phosphorus in the Inulin group was significantly lower than those in the other groups (p < 0.05). Furthermore, the plasma levels of uric acid, triacylglycerol, and HDL-cholesterol in the Inulin + Cotton Fiber group were significantly higher than those in the Cotton Fiber group (p < 0.05), while the creatinine levels in the Inulin group were higher than those in the other groups (p < 0.05). No differences were observed in the composition and immune performance of colostrum (p > 0.05). Microbial sequencing analysis showed that dietary inulin supplementation to increase the proportion of soluble fiber significantly decreased the abundance of Firmicutes, Clostridia, Clostridiales, Lachnospiraceae, Streptococcaceae, and Streptococcus (p < 0.05). The abundance of short-chain fatty acid-producing microorganisms—Bacteroidetes, Bacteroidia, Bacteroidales, and Muribaculaceae—was significantly increased (p < 0.05). The results indicated that inulin supplementation decreased the dietary ISF:SF ratio, significantly alleviated constipation in sows, increased the number of piglets born alive, regulated intestinal microecology, and increased the plasma concentrations of short-chain fatty acids (SCFAs), including acetic, propionic, and butyric acids. Full article

Microalbuminemia, characterized by a urinary albumin concentration between 20 and 200 mg/L, is a critical marker in assessing the risk of chronic kidney disease (CKD), diabetic nephropathy, and various other chronic conditions. Previously, we developed and validated the MyACR point-of-care (PoC) device, which facilitates the monitoring of CKD progression through real-time data transmission, thus enhancing patient management. This device utilizes a spectrophotometric dye-binding assay to measure albumin and creatinine concentrations in urine samples, providing an albumin-to-creatinine ratio (ACR) result. In the present study, we introduced a refined version of the PoC device, MyμAlbumin, designed to offer a simple, accurate, specific, sensitive, and rapid method for detecting microalbumin in urine as an early indicator of CKD and related diseases. The measurement is based on a specific immunoturbidimetric assay in a microcuvette, using a total solution volume of 125 µL (n = 5 for each validation test). The MyμAlbumin device demonstrated excellent performance, achieving high accuracy (%DMV ≤ 4.67) and precision (%CV < 5) and a strong correlation (R² > 0.995) with laboratory spectrophotometry (dye-binding assay) and reference hospital-based immunoturbidimetric assay. Its high sensitivity (LOQ = 5 mg/L) positions MyμAlbumin as a highly viable and cost-effective tool for clinical use. Additionally, the device supports real-time, seamless data transmission, making it ideal for integration into remote healthcare settings. Full article

Background: GLP-1 receptor agonists (GLP-1 RAs) lower glucose and reduce cardiovascular events in type 2 diabetes, with noted renal benefits. Few studies directly compare GLP-1 RAs. This study aims to compare the effects of semaglutide and dulaglutide on renal function decline and proteinuria reduction in diabetic patients. Methods: The present study was conducted at Wanfang Hospital, Taipei Medical University. Diabetic patients using either semaglutide or dulaglutide for more than 1 year in the outpatient department from 1 January 2022 to 30 September 2024 were enrolled retrospectively. The outcome events in the present study included a decline in the estimated glomerular filtration rate (eGFR), an increase in the urine albumin–creatinine ratio (UACR), and patient death. Results: A total of 268 patients on dulaglutide and 747 on semaglutide were included. Baseline eGFR levels were similar in both groups. After 12 months, eGFR levels did not significantly decline in both groups. However, the dulaglutide group showed significantly higher UACR increases than the semaglutide group (p < 0.01). More death events also occurred in the dulaglutide group (p < 0.01). Multivariate logistic regression revealed a higher risk of UACR increase with dulaglutide (p < 0.01). Subgroup analysis found dulaglutide associated with higher UACR in patients younger than 60, males, those with hypertension, without heart failure, those using angiotensin receptor blockers, biguanides, and statins, and those not using sodium-glucose cotransporter-2 inhibitors. Conclusions: Dulaglutide and semaglutide had comparable effects on slowing eGFR decline. However, dulaglutide was less effective in reducing UACR, particularly in the subgroups mentioned above. Full article

Background/Objectives: Insulin resistance is a key factor in the development and progression of metabolic dysfunction-associated steatotic liver disease (MASLD), but accurately measuring it in patients with type 2 diabetes (T2D) remains challenging. This study examines the relationship between a recently proposed insulin resistance index and the presence of liver steatosis and fibrosis in individuals with T2D. Methods: This cross-sectional study utilized data from the 2017–2020 National Health and Nutrition Examination Survey. Patients with T2D who did not have chronic viral hepatitis or significant alcohol intake were included. The insulin sensitivity (IS) index was calculated using a formula incorporating body mass index, urine albumin-to-creatinine ratio, triglycerides, and gamma-glutamyl transferase. Liver stiffness and steatosis were assessed through transient elastography. MASLD was defined as a controlled attenuation parameter (CAP) of ≥274 decibels/meter (dB/m), while significant liver fibrosis was defined as a liver stiffness measurement (LSM) of ≥8 kPa. Multivariable logistic regression models, adjusted for potential confounders, were used to evaluate the association between IS and these liver outcomes. Results: A total of 1084 patients with T2D were analyzed. The prevalence of MASLD and significant liver fibrosis was 74.1% (95% CI 68.7–78.9) and 25.4% (95% CI 21.2–30.2), respectively. After adjusting for age, sex, waist circumference, and race/ethnicity, lower IS scores (indicating higher insulin resistance) were independently associated with increased odds of both MASLD (quartile 1 vs. quartile 4: OR 2.66, 95% CI 1.23–5.71) and significant liver fibrosis (quartile 1 vs. quartile 4: OR 3.30, 95% CI 1.45–7.51). These findings remained consistent across subgroups stratified by age, sex, and obesity status. Conclusions: This novel IS model, derived from commonly available clinical and biochemical markers, is independently associated with liver steatosis and fibrosis. Its application may help identify patients with more advanced MASLD, facilitating early intervention and risk stratification. Full article

Objectives: Systemic inflammation, coagulopathy, and multiorgan dysfunction are common in critically ill patients and contribute significantly to mortality. Serum albumin and D-dimer are routinely used biomarkers that reflect nutritional status and coagulation activity, respectively. This study aimed to investigate the prognostic value of the albumin-to-D-dimer ratio (ADR) in predicting 30-day mortality among patients admitted to the intensive care unit (ICU) and undergoing mechanical ventilation. Methods: This retrospective cohort study included 162 adult patients who underwent invasive mechanical ventilation in the ICU of a tertiary care center between January 2021 and December 2023. Demographic data, comorbidities, and laboratory values—such as serum albumin, D-dimer, lactate, CRP, BUN, creatinine, INR, and platelet count—were recorded within the first 24 h of ICU admission. The albumin-to-D-dimer ratio (ADR) was calculated by dividing serum albumin (g/dL) by D-dimer (μg/mL). The patients were stratified into tertiles based on ADR values: low (<0.95), intermediate (0.95–1.45), and high (>1.45). The association between the ADR and 30-day mortality was analyzed using multivariate logistic regression and receiver operating characteristic (ROC) curve analysis. Results: Of the 162 patients included in the study, 61 (37.7%) died within 30 days. The patients who died had significantly lower ADR values at ICU admission compared to survivors (1.02 ± 0.43 vs. 1.56 ± 0.52, p < 0.001). In the multivariate logistic regression model, a lower ADR remained an independent predictor of 30-day mortality (OR: 0.39; 95% CI: 0.26–0.58; p < 0.001), even after adjusting for age, lactate, creatinine, INR, and other relevant clinical variables. ROC curve analysis demonstrated that the ADR had the highest discriminative performance among all the evaluated parameters, with an AUC of 0.802 (95% CI: 0.728–0.875; p < 0.001). The optimal cut-off value for the ADR was identified as <1.05, yielding a sensitivity of 78.7% and a specificity of 71.4% in predicting 30-day mortality. Conclusions: The ADR is independently associated with 30-day mortality in mechanically ventilated ICU patients and may serve as a useful early prognostic marker. However, given the retrospective, single-center nature of this study, these findings should be interpreted with caution. Further prospective, multicenter studies are needed to validate the clinical utility of the ADR. Full article

Albuminuria is a sensitive biomarker of kidney dysfunction, and the albumin/creatinine ratio (ACR) is an essential measure for monitoring diabetic kidney disease (DKD). Abnormal levels can indicate a propensity for progressive renal failure and other complications such as cardiovascular diseases. This study employed UV/Visible spectroscopy to analyze aqueous urine samples spiked with bovine serum albumin (BSA) and creatinine at clinically relevant concentrations (0–30 mg/L for albumin and 600–1800 mg/L for creatinine) using a multivariate method. UV/Visible spectra of co-spiked samples recorded in triplicate revealed distinct bands at 229 nm and 249 nm, corresponding to BSA and creatinine, respectively, alongside other amino acid bands. Partial Least Squares Regression (PLS-R) analysis for BSA yielded a Root Mean Square Error of Calibration (RMSEC) and Cross-Validation (RMSECV) values of 66.93 and 73.92 mg/L, respectively. For creatinine, RMSEC and RMSECV values were 244.32 and 275.65 mg/L, respectively. Prediction models for both BSA and creatinine compared to ELISA demonstrated a robust performance with R²_PRED values of 0.96 and 0.95, respectively, indicating strong model reliability. The Limit of Detection (LOD) for co-spiked samples was 19.82 mg/L for BSA and 58.43 mg/L for creatinine. The significance of the achieved Limit of Detection (LOD) lies in its ability to measure concentrations well below the normal physiological ranges of 0–30 mg/L for albumin and 600–1800 mg/L for creatinine. These results demonstrate the proof of concept of applying an UV/Visible-spectroscopy-based method as a rapid, cost-effective point-of-care (PoC) tool for ACR measurements, offering promising applications in the early diagnosis, monitoring, and prognosis of diabetic kidney disease and associated cardiovascular complications. The next stage will involve a pilot trial to evaluate the technology’s potential using clinical patients. Full article