Citations

Abstract Background Delirium, an acute brain dysfunction, is proposed to be highly prevalent in clinical care and shown to significantly increase the risk of mortality and dementia. Objectives To report on the global prevalence of clinically documented delirium and delirium-related clinical practices in wards caring for paediatric and adult patients in healthcare facilities. Design A prospective, cross-sectional, 39-question survey completed on World Delirium Awareness Day, 15 March 2023. Participants Clinicians or researchers with access to clinical data. Main Outcome and Measure The primary outcome was the prevalence of clinically documented delirium at 8:00 a.m. (4 h) and 8:00 p.m. (±4 h). Secondary outcomes included delirium-related care practices and barriers to use. Descriptive statistics were calculated and multilevel modelling was completed. Results 1664 wards submitted surveys from 44 countries, reporting on delirium assessments at 8:00 a.m. (n = 36 048) and 8:00 p.m. (n = 32 867); 61% reported use of validated delirium assessment tools. At 8:00 a.m., 18% (n = 2788/15 458) and at 8:00 p.m., 17.7% (n = 2454/13 860) were delirium positive. Top prevention measures were pain management (86.7%), mobilisation (81.4%) and adequate fluids (80.4%). Frequently reported pharmacologic interventions were benzodiazepines (52.7%) and haloperidol (46.2%). Top barriers included the shortage of staff (54.3%), lack of time to educate staff (48.6%) and missing knowledge about delirium (38%). Conclusion and Relevance In this study, approximately one out of five patients were reported as delirious. The reported high use of benzodiazepines needs further evaluation as it is not aligned with best-practice recommendations. Findings provide a benchmark for future quality improvement projects and research.

Abstract Background Hypomagnesemia has been correlated with inferior outcomes in patients with large B cell lymphoma (LBCL) undergoing stem cell transplants. As T-cell and myeloid cell dysfunction have been associated with low magnesium conditions, we investigated whether serum magnesium (Mg) levels could predict clinical outcomes in LBCL patients who received chimeric antigen receptor T-cell therapy. Methods Patients with LBCL who received axi-cel under the ZUMA-1 trial or as FDA approved therapy at Mayo Clinic were examined. Serum samples were obtained at specified time points and cytokine analysis was performed. Single cell RNA sequencing was performed on peripheral blood mononuclear cells. The Student T-test, Kruskal Wallis, or Fisher's Exact Tests were used to compare differences in demographics across Mg levels. Survival curves were plotted using the Kaplan-Meier methodology and compared using the Wilcoxon test. Results We found that hypomagnesemia before lymphodepletion chemotherapy predicted for inferior progression-free and overall survival in the pivotal study ZUMA-1 (NCT02348216). These results were validated in an independent cohort of LBCL patients receiving axicabtagene ciloleucel (axi-cel) at Mayo Clinic. Hypomagnesemia correlated with increased inflammatory serum markers and cytokine levels including ferritin, IL-6, IL1Ra, IL-8, and MIP1a. scRNAseq analysis unveiled altered immune interactions between monocytes and T cells with a concordant immune suppressive transcriptome. Conclusions Hypomagnesemia at the time of CAR-T infusion associates with an unfavorable inflammatory profile and decreased response and survival in LBCL patients receiving axi-cel. These findings suggest a potentially actionable prognostic factor for patients with large cell lymphoma undergoing CAR-T.

Vitamin C is a vital nutrient that functions as an antioxidant and is important as a co-factor and regulator of several immune system pathways. The role of vitamin C in the treatment of COVID-19 is largely debatable. We conducted this meta-analysis to evaluate the efficacy and safety of vitamin C in the treatment of COVID-19. We searched several electronic databases from inception to March 2023 to retrieve randomized controlled trials on the use of Vitamin C for COVID-19. RevMan 5.4 was used to calculate risk ratios (RRs) and Mean Differences (MDs) along with confidence intervals (95% CI) using a random-effects model. We included 9 randomized controlled trials in our meta-analysis. Vitamin C did not reduce the all-cause mortality in patients with COVID-19 compared to the standard treatment [RR 0.86, 95% CI: 0.65-1.14; I 2 =66%]. Vitamin C was found to be associated with an increased incidence of ventilation in COVID-19 patients when compared to standard treatment [RR 1.37, 95% CI: 1.18-1.59; I 2 =58%]. There were no significant differences between both groups regarding the incidence of hospitalization [RR 1.00, 95% CI: 0.98-1.02; I 2 =0%], incidence of recovery [RR 1.57, 95% CI: 0.45-5.50; I 2 =52%], hospital mortality [RR 0.68, 95% CI: 0.44-1.06; I 2 =0%] and length of hospital stay [MD -0.63, 95% CI: -3.04 to 1.78; I 2 =81%]. Vitamin C administration did not reduce all-cause mortality in COVID-19 patients. Additional studies are required to evaluate the role of Vitamin C in the prevention and treatment of COVID-19 especially in ICU patients.

Abstract Objective The presence of comorbidities can substantially affect patients’ quality of life, but data regarding their impact on idiopathic inflammatory myopathies (IIMs) are limited. Methods We examined the prevalence of comorbidities in IIM patients, other autoimmune rheumatic diseases (oAIRDs) and healthy controls (HCs), using data from the self-reported COVAD-2 survey. We defined basic multimorbidity (BM) as the presence of ≥2 non-rheumatic chronic conditions and complex multimorbidity (CM) as the presence of ≥3 non-rheumatic chronic conditions affecting ≥3 organ systems. Hierarchical clustering on principal components was performed for grouping. Results Among the COVAD respondents, 1558 IIMs, 4591 oAIRDs and 3652 HCs were analysed. IIMs exhibited a high burden of comorbidities (odds ratio [OR]: 1.62 vs oAIRDs and 2.95 vs HCs, P < 0.01), BM (OR: 1.66 vs oAIRDs and 3.52 vs HCs, P < 0.01), CM (OR: 1.69 vs AIRDs and 6.23 vs HCs, P < 0.01) and mental health disorders (MHDs) (OR: 1.33 vs oAIRDs and 2.63 vs HCs, P < 0.01). Among the IIM patients, those with comorbidities or MHDs had lower PROMIS Global Physical (PGP), PROMIS Global Mental (PGM), and PROMIS Physical Function (SF10) scores, and higher fatigue (F4a) scores (all P < 0.001). PGP, PGM, SF10a and F4a were influenced by age, active disease, BM and MHDs. Four distinct clusters were identified among the IIMs according to comorbidities and PROMIS scores. Conclusion Patients with IIMs have a higher burden of comorbidities that influence physical and mental health, identifiable as clinical clusters for optimized and holistic management approaches.

SummaryBackground and AimsMachine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute‐on‐chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.MethodsClinical data of 1568 patients with ACLF from a tertiary care centre (2015–2023) were subjected to distance‐, density‐ and model‐based clustering algorithms. Final model was selected on best cluster separation, viz. Silhouette width and Dunn's index (for distance‐ or density‐based algorithms) and minimum BIC (for model‐based algorithms). Cluster assignments, patient trajectories and survival were analysed through inferential statistics. Supervised ML models were trained in 70% data that predicted clusters in remaining 30% data followed by an temporal validation.ResultsThe cohort was male‐predominant (87%), aged 44.3 years, with alcohol‐associated hepatitis (62.9%) and survival of 50.5%. Due to poor performance of distance‐ and density‐based algorithms and better explainability, the latent class model (LCM) was selected for exploration. LCM revealed four clusters with distinct trajectories, reversibility and survival (independent of MELD, CLIF‐C ACLF and AARC scores). Cluster1 had patients with none/one organ failure and highest reversibility. Cluster2 had females with viral hepatitis and two organ failures. More‐than‐one acute precipitant, severity, infections, organ failures and irreversibility escalated from clusters 1 to 4. Circulatory and renal failures critically influenced cluster assignments. Incorporating clusters to CLIF‐C ACLF, infection and ACLF definition improved the discriminative accuracy of CLIF‐C‐ACLF by 11%. Extreme gradient boost and decision trees could predict clusters with AUCs of 0.989 (0.979–0.995) and 0.875 (0.865–0.890). MELD, CLIF‐C‐OF, haemoglobin, lactate, CLIF‐C‐ACLF and ALT were critical variables for cluster prediction. Clusters with distinct survival were documented in a temporal validation cohort.ConclusionsML for the first time could identify clusters with distinct phenotypes, trajectories and outcomes in ACLF. Stratification into clusters can address heterogeneity, guide prognosis, recruitment in trials, resource allocation and liver transplant discussions in ACLF.

AbstractStatins are the first line of treatment for both primary and secondary prevention of atherosclerotic cardiovascular disease. Despite the positive effects of statins on cardiovascular events, not all patients can use them at an optimized dose. The reason for this is the skeletal muscle side effects, termed statin‐associated muscle symptoms (SAMS). Despite extensive research, the precise pathophysiology of SAMS remains unclear and multiple mechanisms may contribute to this phenomenon. Various therapeutic options are available for the management of SAMS, ranging from rechallenging with the same or a different statin to utilizing non‐statin therapeutic alternatives in patients intolerant to statins. However, the lack of consensus on the definition of SAMS, the absence of a definitive diagnostic test, and lack of a universally accepted management algorithm pose a great challenge in dealing with this entity. This review aims to explore the various pathophysiological mechanisms involved in SAMS and understand the difference between self‐limited toxic myopathy and immune‐mediated myopathy requiring immunomodulatory therapy. The conundrum of statin withdrawal, tapering, and rechallenge in SAMS will also be explored in detail along with the newer non‐statin therapies that are available.

Abstract Objective To estimate the number needed to treat and cost per additional responder for atogepant and rimegepant versus placebo for the preventive treatment of episodic migraine (EM) in the United States. Background Migraine has an enormous impact on a person's daily activities and quality of life, and results in significant clinical and economic burden to both individuals and society. It is important to understand the comparative efficacy and economic value of oral calcitonin gene–related peptide receptor antagonists (gepants) for preventive treatment of EM. Currently, atogepant and rimegepant are US Food and Drug Administration approved for preventive treatment of migraine (rimegepant for EM and atogepant for EM and for chronic migraine). In the absence of head‐to‐head trials, we utilized an indirect treatment comparison on efficacy data from clinical trials conducted for the preventive treatment of EM. We estimated number needed to treat, a valuable metric used in clinical practice to compare treatment efficacy, and cost per additional responder, which can be used to establish the cost effectiveness of a treatment. Methods An indirect treatment comparison was conducted to compare the efficacy of atogepant 60 mg once daily and rimegepant 75 mg once every other day as preventive treatments for EM using published data from the registrational trials of atogepant (ADVANCE) and rimegepant (BHV3000‐305). The efficacy outcome of interest was ≥50% reduction from baseline in mean monthly migraine/headache days (≥50% responder rate), which was variably defined for a base case and two scenario analyses. Number needed to treat and cost per additional responder versus placebo were calculated and compared between both treatments (weeks 9–12 in the base case analysis; weeks 1–12 and 9–12 for atogepant and during weeks 9–12 for rimegepant in the scenario analyses). Results In the base case analysis, ≥50% responder rates were 64.9% (95% confidence interval [CI], 53.9–74.5) for atogepant and 51.8% (95% CI, 42.9–60.6) for rimegepant, compared to 44.1% (95% CI, 39.4–49.0) for placebo. The median number needed to treat versus placebo in the base case scenario was 4.8 (95% CI, 3.1–9.0) for atogepant compared to 13.0 (95% CI, 5.9–75.1) for rimegepant. The cost per additional responder versus placebo in the base case scenario was estimated to be $15,823 (95% CI, $11,079–$29,516) for atogepant compared to $73,029 (95% CI, $32,901–$422,104) for rimegepant. Results of the two scenario analyses were consistent with the base case analysis. Conclusions Atogepant had substantially lower numbers needed to treat and costs per additional responder versus placebo than rimegepant for the preventive treatment of EM across all evaluated scenarios. These analyses suggest that atogepant may be more cost effective than rimegepant for the preventive treatment of EM. Limitations include differences in inclusion/exclusion criteria and in reporting of the ≥50% responder rates between trials.

ABSTRACT Point-of-care ultrasonography (POCUS) has rapidly evolved from a niche technology to an indispensable tool across medical specialties, including nephrology. This evolution is driven by advancements in technology and the visionary efforts of clinicians in emergency medicine and beyond. Recognizing its potential, medical schools are increasingly integrating POCUS into training curricula, emphasizing its role in enhancing diagnostic accuracy and patient care. Despite these advancements, barriers such as limited faculty expertise and ‘lack of’ standardized guidelines hinder widespread adoption and regulation. The International Alliance for POCUS in Nephrology (IAPN), through this position statement, aims to guide nephrologists in harnessing the diagnostic power of POCUS responsibly and effectively. By outlining core competencies, recommending training modalities and advocating for robust quality assurance measures, we envision a future where POCUS enhances nephrology practice globally, ensuring optimal patient outcomes through informed, evidence-based decision-making. International collaboration and education are essential to overcome current challenges and realize the full potential of POCUS in nephrology and beyond.