Search Results (5,736)

Introduction: Increased exposure to air pollution poses a burden to society and healthcare systems worldwide, with increased risk of morbidity and mortality. Indoor concentrations of air pollutants, such as particulate matter, are a public health concern because they can be present in higher concentrations than outside. Unlike the effects of indoor environmental tobacco smoke (ETS), there is a dearth of research that includes the impact of e-cigarettes on particulate matter concentrations in the home, which is the focus of this study. Method: Participant, household, and sensor information were obtained from 164 lower-income households located in Cornwall, South West of England. Daily sensor readings were obtained for PM_2.5 for one year. Descriptive statistics were used to describe study participant characteristics and health status. Mean indoor averages, median PM_2.5 measurements, and two-tailed tests were used to assess differences in concentrations of PM_2.5. Results: The 164 surveyed households included 315 residents (67% female) with a mean adult age of 57 (22–92). Half of all homes were in the 10% most deprived neighbourhoods in England. Thirty-four per cent of participants were current smokers, and of these 36% have asthma and had seen a doctor in the last year (cf. never smokers 14%, ex-smokers 25%). Mean annual PM_2.5 was highest in smoking households (14.07 µg/m³) and smoking and vaping households (9.18 µg/m³), and lower in exclusive vaping households (2.00 µg/m³) and smoke and vape-free households (1.28 µg/m³). Monthly levels of PM_2.5 fluctuated seasonally for all groups, with the highest recordings in winter and the lowest in summer. Discussion and Conclusion: In this preliminary study, we conducted secondary data analyses using monitoring data from a large health and housing study to assess factors leading to elevated indoor concentrations of particulate matter. Indoor concentrations appeared to be highest in homes where residents smoked indoors. The use of e-cigarettes in the home also appeared to modify concentrations of particulate matter, but levels were lower than in homes with tobacco smoke. We were not able to determine the relationship between smoking and/or vaping indoors and particulate matter, which supports the need for studies of larger sample sizes and more complex longitudinal monitoring. This will help assess the timing and extent of exposures resulting from smoking and vaping indoors, along with a range of other chemical and biological exposures and their corresponding health effects. Full article

Background: Pulmonary embolism (PE) is a major cause of cardiovascular morbidity and mortality. Guidelines favor direct oral anticoagulants (DOACs) over vitamin K antagonists (VKAs), but real-world Croatian data are scarce. Methods: A prospective dual-center registry included 773 patients discharged with acute PE between 2013 and 2024. Clinical, laboratory, and socioeconomic data were collected. The primary outcome was all-cause mortality; secondary outcomes were recurrent venous thromboembolism (VTE) and major bleeding. Results: DOAC users were younger, with higher education and income, than VKA or heparin patients. Median follow-up was 1106 days. Mortality reached 60.3% with VKA, 26.0% with DOAC, and 84.1% with heparin (p < 0.001). VTE recurrence did not differ significantly. Major bleeding occurred in 9.3% of VKA versus 2.9% of DOAC patients (p = 0.003). Adjusted analysis showed a lower mortality risk with DOAC versus VKA (HR 0.62, 95% CI 0.48–0.80, p < 0.001), while heparin predicted higher mortality (HR 3.63, 95% CI 2.54–5.21, p < 0.001). Higher PESI class independently increased mortality and recurrence. Conclusion: In the first Croatian PE cohort, DOACs were linked to reduced mortality and bleeding risk compared with VKAs, with similar recurrence. Clinical, socioeconomic, and policy factors strongly influenced prescribing patterns and outcomes. Full article

Asthma is a chronic inflammatory disease with a heterogeneous course, often progressing silently from mild symptoms to severe, treatment-refractory disease. Current guidelines recommend biologic therapies after failure of high-dose inhaled corticosteroids and additional controllers, typically in patients with frequent exacerbations. This reactive approach may delay intervention until irreversible airway remodeling has occurred, limiting the potential benefits of biologic therapy. Therefore, severe asthma may be envisioned as the consequence of missed opportunities for early interventions. Early initiation of biologic therapy—guided by biomarkers such as blood eosinophil count and fractional exhaled nitric oxide (FeNO), as well as symptom burden and risk of lung function decline—may prevent progression to severe asthma and improve remission rates. This position paper advocates for a shift from severity-based to risk-based treatment strategies, recommending earlier biomarker assessment, redefinition of escalation criteria, and clinical trials designed to evaluate biologics in symptomatic non-exacerbating patients. By recognizing persistent inflammation and progression risk earlier in the disease course, clinicians may have a critical opportunity to alter the trajectory of asthma, reduce long-term morbidity, and achieve sustained control before irreversible damage occurs. Full article

Background: Atherogenic dyslipidemia is defined by the coexistence of high triglyceride concentrations, low levels of high-density lipoprotein cholesterol (HDL-C), and an excess of small, dense particles of low-density lipoprotein cholesterol (LDL-C). This lipid profile is strongly associated with an increased burden of cardiovascular disease and represents a leading cause of global morbidity and mortality. To better capture this risk, composite lipid ratios—including total cholesterol to HDL-C (TC/HDL-C), LDL-C to HDL-C (LDL-C/HDL-C), triglycerides to HDL-C (TG/HDL-C), and the atherogenic dyslipidemia index (AD)—have emerged as robust markers of cardiometabolic health, frequently demonstrating superior predictive capacity compared with isolated lipid measures. Despite extensive evidence linking these ratios to cardiovascular disease, few large-scale studies have examined their association with sociodemographic characteristics, lifestyle behaviors, and social isolation in working populations. Methods: We conducted a cross-sectional analysis of a large occupational cohort of Spanish workers evaluated between January 2021 and December 2024. Anthropometric, biochemical, and sociodemographic data were collected through standardized clinical protocols. Indices of atherogenic risk—namely the ratios TC/HDL-C, LDL-C/HDL-C, TG/HDL-C, and the atherogenic dyslipidemia index (AD)—were derived from fasting lipid measurements. The assessment of lifestyle factors included tobacco use, physical activity evaluated through the International Physical Activity Questionnaire (IPAQ), adherence to the Mediterranean dietary pattern using the MEDAS questionnaire, and perceived social isolation measured by the Lubben Social Network Scale. Socioeconomic classification was established following the criteria proposed by the Spanish Society of Epidemiology. Logistic regression models were fitted to identify factors independently associated with moderate-to-high risk for each lipid indicator, adjusting for potential confounders. Results: A total of 117,298 workers (71,384 men and 45,914 women) were included. Men showed significantly higher odds of elevated TG/HDL-C (OR 4.22, 95% CI 3.70–4.75) and AD (OR 2.95, 95% CI 2.70–3.21) compared with women, whereas LDL-C/HDL-C ratios were lower (OR 0.86, 95% CI 0.83–0.89). Advancing age was positively associated with all lipid ratios, with the highest risk observed in participants aged 60–69 years. Lower social class, smoking, physical inactivity, poor adherence to the Mediterranean diet, and low social isolation scores were consistently linked to higher atherogenic risk. Physical inactivity showed the strongest associations across all indicators, with ORs ranging from 3.54 for TC/HDL-C to 7.12 for AD. Conclusions: Atherogenic dyslipidemia and elevated lipid ratios are strongly associated with male sex, older age, lower socioeconomic status, unhealthy lifestyle behaviors, and reduced social integration among Spanish workers. These findings highlight the importance of workplace-based cardiovascular risk screening and targeted prevention strategies, particularly in high-risk subgroups. Interventions to promote physical activity, healthy dietary patterns, and social connectedness may contribute to lowering atherogenic risk in occupational settings. Full article

Background/Objectives: Late-onset neonatal sepsis (LOS) remains a leading cause of morbidity and mortality in very low birth weight (VLBW) infants (<1500 g and/or gestational age <32 weeks), with limited preventive strategies. We evaluated whether early enteral bovine lactoferrin (bLf), given its antimicrobial, immunomodulatory, and antioxidant properties, reduces LOS and improves immunologic, antioxidant, and hematologic markers in these infants. Methods: In this randomized, double-blind, placebo-controlled trial, 103 VLBW infants received bLf (150 mg/kg/day; n = 50) or the placebo (n = 53) within 72 h of birth for four weeks or until discharge. Outcomes included culture-confirmed LOS, mortality, and major morbidities. Risk ratios (RRs) were calculated, adjusting for gestational age, human milk intake, and ventilatory support when ≥25 events occurred. Pre/post changes in cytokines, total antioxidant capacity (TAC), and hemoglobin (Hb) were analyzed for interaction effects (time x intervention). Results: bLf reduced LOS (adjusted RR 0.54; 95% CI 0.31–0.93; p = 0.028), without differences in other morbidities or mortality. bLf preserved MCP-1 levels, declining in the placebo group (interaction p = 0.022). Among LOS infants receiving bLf, IL-6 remained stable and MCP-1 increased, while both declined in other groups (interaction p = 0.007 for IL-6; p = 0.052 for MCP-1). Although TAC showed a non-significant interaction, the placebo group declined (p = 0.002), while bLf remained stable (p = 0.400) in the post hoc analysis. In non-transfused infants, bLf increased Hb by 0.9 g/dL vs. controls (p = 0.028). Conclusions: Early bLf supplementation safely reduces LOS in VLBW infants and may support immunologic, antioxidant, and hematologic stability. Full article

Background and Objectives: Sarcopenia is a progressive loss of skeletal muscle mass and function in elderly adults, posing a significant risk of frailty, falls, and morbidity. The current study designs and evaluates SarcoNet, a novel artificial neural network (ANN)-based classification framework developed in order to classify Sarcopenic from non-Sarcopenic subjects using a comprehensive real-time dataset. Methods: This pilot study involved 30 subjects, who were divided into Sarcopenic and non-Sarcopenic groups based on physician assessment. The collected dataset consists of thirty-one clinical parameters like skeletal muscle mass, which is collected using various equipment such as Body Composition Analyser, along with ten kinetic features which are derived from video-based gait analysis of joint angles obtained during walking on three terrain types such as slope, steps, and parallel path. The performance of the designed ANN-based SarcoNet was benchmarked against the traditional machine learning classifiers utilised including Support Vector Machine (SVM), k-Nearest Neighbours (k-NN), and Random Forest (RF), as well as hard and soft voting ensemble classifiers. Results: SarcoNet achieved the highest overall classification accuracy of about 94%, with a specificity and precision of about 100%, an F1-score of about 92.4%, and an AUC of 0.94, outperforming all other models. The incorporation of lower-limb joint kinetics such as knee flexion, extension, ankle plantarflexion and dorsiflexion significantly enhanced predictive capability of the model and thus reflecting the functional deterioration characteristic of muscles in Sarcopenia. Conclusions: SarcoNet provides a promising AI-driven solution in Sarcopenia diagnosis, especially in low-resource healthcare settings. Future work will focus on improving the dataset, validating the model across diverse populations, and incorporating explainable AI to improve clinical adoption. Full article

Background: Spontaneous retroperitoneal hematomas constitute a rare clinical entity, yet their incidence has markedly increased during the SARS-CoV-2 pandemic. The pathophysiological substrate is incompletely elucidated, being influenced by anticoagulant therapy, vascular inflammatory alterations induced by SARS-CoV-2 infection, and comorbidities in critically ill patients that exacerbate hemorrhagic risk. Methods: We performed a comprehensive literature review of published case reports and case series on spontaneous retroperitoneal hematomas in COVID-19 patients, complemented by our institutional experience, in order to synthesize current diagnostic and therapeutic approaches. Results: Available evidence indicates that most cases occur in anticoagulated patients, with clinical manifestations often limited to nonspecific abdominal or lumbar pain. Diagnosis relies primarily on contrast-enhanced CT imaging. Reported therapeutic strategies include conservative management, endovascular embolization, and surgical intervention, with outcomes ranging from complete recovery to fatal progression, particularly in elderly and comorbid individuals. Conclusions: Spontaneous retroperitoneal hematomas in the setting of SARS-CoV-2 infection represent a diagnostic and therapeutic challenge associated with considerable morbidity and mortality. Early recognition, prompt imaging, and individualized multidisciplinary management are essential, while further research is needed to clarify incidence, risk factors, and preventive strategies. Full article

Background and Objectives: Infective endocarditis (IE) remains a severe infection with high morbidity and mortality, particularly among people who inject drugs (PWID). Data from Eastern Europe are limited, despite the increasing burden of intravenous drug use in the region. Materials and Methods: We conducted a retrospective, observational cohort study of 153 patients diagnosed with IE and admitted to the “Dr. Victor Babeș” Clinical Hospital for Infectious and Tropical Diseases in Bucharest, Romania, between August 2019 and July 2024. Patients were classified into PWID (n = 51) and non-PWID (n = 102). Clinical characteristics, microbiological profiles, echocardiographic findings, complications, and outcomes (in-hospital, 10-week, and 12-month mortality) were compared between groups. Results: PWID were significantly younger (mean 34.0 ± 6.6 years vs. 64.3 ± 13.1 years; p < 0.001), predominantly male (86.3% vs. 62.7%; p = 0.003) and had higher rates of HIV (64.7%) and HCV (98.1%). Right-sided IE and larger vegetations were more common in PWID, whereas non-PWID had more left-sided disease, pre-existing valvular pathology, and prosthetic valve involvement. Staphylococcus aureus predominated in PWID (68.6% vs. 27.5%; p < 0.001), while non-PWID had more Streptococcus spp. and Coxiella burnetii cases. Embolic complications, particularly pulmonary emboli, and valvular rupture were significantly more frequent in PWID, while non-PWID had higher rates of heart failure and surgical interventions. In-hospital mortality was similar (17.6% vs. 11.8%; p = 0.318), but 12-month mortality was higher in PWID (27.5% vs. 13.7%; p = 0.038). Conclusions: IE in PWID shows a distinct clinical and microbiological profile, with more aggressive complications and worse long-term survival. Tailored management, early diagnosis, harm reduction programs, and dedicated follow-up are urgently needed in this high-risk population. Full article

Background: Cornual pregnancy (CP) is a rare but life-threatening form of ectopic pregnancy. Severe complications include uterine rupture and massive hemorrhage, often requiring complex surgical management despite prompt intervention. We report a case of a ruptured left CP at 12 weeks, occurring three months after ipsilateral salpingectomy for a tubal pregnancy. Case Presentation: A 27-year-old woman, gravida 2, with a history of left salpingectomy, presented at 12 weeks of amenorrhea with severe pelvic pain and irregular uterine bleeding. Clinical examination, serum β-hCG testing, and transvaginal ultrasound confirmed hemoperitoneum due to rupture of a cornual pregnancy. Emergency laparoscopy was performed, with drainage of massive hemoperitoneum, excision of the ectopic gestation, and uterine wall repair. Uterine integrity was preserved, and the patient was discharged without complications. Discussion: Cornual ectopic pregnancy remains diagnostically and surgically challenging, with high risk of catastrophic hemorrhage. Transvaginal ultrasonography, supported by 3D ultrasound or MRI in equivocal cases, facilitates early diagnosis. Laparoscopy is increasingly recognized as the gold standard, offering reduced morbidity, faster recovery, and preservation of fertility compared with laparotomy, though it requires advanced surgical expertise. Long-term follow-up is essential due to the risk of uterine rupture in subsequent pregnancies, and elective cesarean delivery is often advised. Conclusion: This case demonstrates that minimally invasive laparoscopic management of ruptured CP with massive hemoperitoneum is feasible and safe when performed by experienced surgeons, but further studies are needed to optimize standardized protocols and assess reproductive outcomes. Full article

Background/Objectives: Obstructive sleep apnea (OSA) is strongly associated with cardiovascular morbidity, and depressive symptoms are common in affected individuals. Both OSA and depression have been linked to autonomic dysfunction, but the independent contribution of depressive symptoms to autonomic dysfunction in OSA remains unclear. We investigated whether depressive symptom severity is associated with autonomic function, indexed by heart-rate variability (HRV), in patients with OSA. Methods: We retrospectively analyzed 1713 adults with OSA at a university-affiliated sleep center from 2011 to 2024. HRV was derived from electrocardiography during polysomnography, and frequency-domain indices (natural log-transformed LF, HF, VLF, TP, and LF/HF) were computed. Depressive symptoms were assessed using the Beck Depression Inventory-II (BDI-II). Associations between BDI-II and HRV indices were evaluated using univariable and multivariable linear regressions. Results: In univariable regression analyses, higher BDI-II scores were significantly associated with lower HRV indices (ln LF, ln HF, ln VLF, ln TP; all p < 0.01). In multivariable analyses, higher BDI-II scores were independently associated with lower ln LF, ln HF, and ln TP (all p < 0.05), adjusting for age, sex, body mass index, hypertension, diabetes, apnea–hypopnea index, arousal index, and sleep quality. Conclusions: Greater depressive symptom burden is independently associated with reductions in multiple HRV indices, suggesting attenuated parasympathetic activity and autonomic dysregulation in patients with OSA. These findings support integrated management strategies that address both physiological and psychological domains in OSA and motivate longitudinal studies to test whether effective depression treatment improves HRV and mitigates long-term cardiovascular risk. Full article

Background: Despite advances in surgical techniques and perioperative care, pancreatic resections such as pancreaticoduodenectomy (PD) and distal pancreatectomy (DP) remain high-risk procedures. Postoperative complications significantly impact morbidity, mortality, and patient quality of life. Methods: This narrative review summarizes recent literature on major complications following pancreatic surgery, including postoperative pancreatic fistula (POPF), delayed gastric emptying (DGE), and post-pancreatectomy hemorrhage (PPH), with an emphasis on incidence, risk factors, outcomes, and current preventive strategies. Results: POPF is a leading complication, occurring in 5–22% of cases and often linked with sepsis and hemorrhage. Key risk factors include high BMI, soft pancreatic texture, and small duct size. Preventive measures like Pasireotide, modified anastomosis techniques, and neoadjuvant therapy show variable success. DGE affects up to 57% of PD patients and is associated with prolonged recovery; antecolic reconstruction and erythromycin may reduce incidence. PPH, though less frequent (3–13%), can be life-threatening, particularly when secondary to POPF. Endovascular approaches are now favored for late arterial bleeding. Other complications include wound infections, abscesses, bile leaks, and pulmonary issues, all contributing to extended hospital stays and diminished quality of life. Conclusions: Pancreatic surgery continues to carry significant risks, with POPF, DGE, and PPH being the most impactful complications. While multiple interventions have shown promise, standardized protocols and predictive tools are still needed. Surgery should be performed in high-volume centers with experienced multidisciplinary teams to optimize outcomes. Full article

Background: Postoperative cognitive dysfunction (POCD) is a prevalent complication in elderly patients undergoing hip fracture surgery, often resulting in increased morbidity and prolonged rehabilitation. Biomarkers such as Neuron-Specific Enolase (NSE) and S100B protein have shown potential in detecting cerebral injury, yet their role in predicting long-term cognitive decline remains unclear. This study aimed to evaluate the association between biomarkers serum levels and the incidence of POCD in elderly patients undergoing proximal femur fracture surgery. Methods: A multicentric prospective observational study was conducted from January 2023 to February 2024, including 146 elderly patients with hip fractures treated surgically at ASL Bari and the University Orthopedic Department of Foggia. Biomarker levels of NSE and S100B were measured preoperatively (T0), at three days post-surgery (T1), and at one-year follow-up (T2). Cognitive function was assessed using the Pfeiffer Scale (PS) and the Mini-Mental State Examination (MMSE). Statistical analysis was performed using U Mann–Whitney tests and logistic regression to identify risk factors. Results: At three days post-surgery, 20.5% of patients exhibited POCD, with no significant differences in NSE and S100B levels compared to baseline. However, at one year, of the 96 patients investigated 37.9% of patients showed cognitive decline, with significantly elevated NSE (19.88 ± 4.03 μg/L) and S100B (1.86 ± 0.9 μg/L) compared to non-POCD patients (p = 0.01). Risk factors for long-term POCD included older age (OR: 1.24), diabetes mellitus (OR: 4.41), and lower baseline cognitive function (MMSE and PS scores, OR: 0.25 and 9.81, respectively). Conclusions: The study demonstrates that while early POCD is not associated with significant changes in NSE and S100B levels, their elevation at one-year follow-up suggests a possible correlation with chronic neuroinflammation and persistent neuronal damage. Preoperative cognitive impairment, advanced age, and diabetes mellitus are significant predictors of long-term cognitive decline. Incorporating biomarker evaluation and cognitive screening into perioperative management may enhance patient outcomes following hip fracture surgery. Full article

Air pollution is a leading environmental risk that causes respiratory morbidity and mortality. The increasing availability of high-resolution environmental data and air pollution-related health cases have accelerated the use of machine learning models (ML) to estimate environmental exposure–response relationships, forecast health risks and call for the needed policy and practical interventions. Unfortunately, ML models are opaque, in a sense that, it is unclear how these models combine various data inputs to make a concise decision. Thus, limiting its trust and use in clinical matters. Explainable artificial intelligence (xAI) models offer the necessary techniques to ensure transparent and interpretable models. This systematic review explores online data repositories through the lens of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline to synthesize articles from 2020 to 2025. Various inclusion and exclusion criteria were established to narrow the search to a final selection of 92 articles, which were thoroughly reviewed by independent researchers to reduce bias in article assessment. Equally, the ROBINS-I (Risk Of Bias In Non-randomized Studies of Interventions) domain strategy was helpful in further reducing any possible risk in the article assessment and its reproducibility. The findings reveal a growing adoption of ML techniques such as random forests, XGBoost, parallel lightweight diagnosis models and deep neural networks for health risk prediction, with SHAP (SHapley Additive exPlanations) emerging as the dominant technique for these models’ interpretability. The extremely randomized tree (ERT) technique demonstrated optimal performance but lacks explainability. Moreover, the limitations of these models include generalizability, data limitations and policy translation. Conclusion: This review’s outcome suggests limited research on the integration of LIME (Local Interpretable Model-Agnostic Explanations) in the current ML model; it recommends that future research could focus on causal-xAI-ML models. Again, the use of such models in respiratory health issues may be complemented with a medical professional’s opinion. Full article

Arrhythmias significantly contribute to morbidity and mortality in patients with congenital heart disease (CHD). While postoperative factors predisposing to arrhythmias are well-established, early electrophysiological alterations in pediatric CHD remain poorly understood. This review summarizes current knowledge on postnatal cardiac maturation, conduction-system development, and electrophysiological abnormalities in pediatric patients with and without CHD. Importantly, arrhythmia prevalence, mechanisms, and clinical relevance are systematically discussed across three pediatric groups, including healthy children and patients with unrepaired and repaired CHD. Understanding developmental arrhythmogenic mechanisms may facilitate early risk stratification, guide clinical management decisions, and improve long-term outcomes for pediatric patients with CHD. This review discusses the complex interplay between cardiac maturation, congenital defects, and arrhythmogenesis. It also outlines future directions that include noninvasive monitoring, selective intraoperative mapping, animal model studies, and standardized data collection to improve early risk stratification and long-term outcomes in children with CHD. Full article

Background: Treatment failure continues to play a role in HIV-related morbidity in Mozambique. Antiretroviral therapy (ART) regimen switches are decided empirically, as HIV genotypic resistance testing (HIV-GT) is unavailable in Mozambique’s public health system. Since 2016, Médecins Sans Frontières (MSF) and I-TECH have provided access to HIV-GT at Alto Maé Health Center, Maputo. We describe the cohort of people with virologic failure (VF) that underwent HIV-GT and analyze dolutegravir (DTG) resistance (R) patterns. Methods: This cross-sectional assessment of routine programmatic data between July 2020 and February 2024 was conducted to guide future program enhancements. People living with HIV (PLWH) receiving ART beyond the first line with confirmed VF were included. Mutations were interpreted according to the Stanford HIVdb algorithm. We applied Bayesian bootstrapping for analysis, and the threshold for significance of effects was defined as a probability of 95%. Results: A total of 106 persons underwent HIV-GT following a structured adherence strategy, 62 (58.5%) of whom were on a DTG-based regimen. Fifty-seven of the 62 samples from persons on a DTG-based regimen were sequenced, and 51 (89.5% [95% CrI: 80.7, 96.2]) had confirmed resistance to DTG; the mean DTG-R score was 70.2 (95% CrI: 62.2, 78). Samples with DTG-R had a median of three INSTI mutations (IQR 1–4). Major DTG-associated mutations were found in 46 out of 57 samples: G118R (n = 28), R263K (n = 15), and Q148RK (n = 7). None of the people on the protease inhibitor regimen had an INSTI mutation. Conclusions: In contexts with limited access to resistance testing, the introduction of algorithms to identify PLWH at risk of developing drug resistance is strongly recommended. The proposed algorithm incorporates adherence reinforcement strategies, as recommended in national policies, followed by a short, supervised antiretroviral therapy (ART) support strategy. This approach has shown a high predictive value for identifying PLWH with resistance mutations to dolutegravir (DTG), thereby allowing the continuation of the effective DTG regimen without unnecessary regimen switches. Full article