Citations

ABSTRACT Predicting delayed graft function (DGF) relies on donor, recipient, and perioperative factors. Despite the growing recognition that DGF duration strongly influences patient outcomes, no models currently address or predict its impact—highlighting an important gap in current research and clinical practice. This study aimed to develop an ensemble‐based machine learning model using perioperative data to predict DGF occurrence and duration. The gradient‐boosted decision trees model was trained and validated on 2725 patients, with k‐fold cross‐validation in an external cohort of 284 patients. Model performance was evaluated based on accuracy, ROC‐AUC, and other metrics using R and Python libraries. The binary DGF prediction model achieved a ROC‐AUC of 0.77, while the DGF duration classification model had an accuracy of 79.2%. DGF duration AUC values by time interval were 0.76 for 0–1 weeks, 0.81 for >1–2 weeks, 0.80 for >2–3 weeks, and 0.87 for >3 weeks; the overall macro‐averaged AUC was 0.81. The mean Brier score for multi‐class predictions was 0.14. External validation showed a 78% accuracy for DGF duration prediction. Acute kidney injury (AKI) and donor donation after circulatory death (DCD) status were key DGF predictors. The use of gradient‐boosted decision trees (GBDT) improves the prediction of both the likelihood and duration of DGF, addressing a current gap in kidney transplant patient care. By facilitating personalized transplant care, this model supports more effective perioperative planning and timely interventions, which may contribute to better patient outcomes.

Abstract Models that estimate the probability of an adverse clinical outcome require an operational cutoff to translate continuous estimated probabilities into discrete labels that can trigger clinical action. Although statistical methods identify ‘optimal’ cut-offs, threshold selection ultimately reflects value judgments regarding harm tolerance, resource allocation, and workflow feasibility. We describe a governance-informed approach to selecting a deployment threshold for an asthma exacerbation (AE) prediction model integrated into clinical workflows. Using prevalence-adjusted performance metrics and real-world provider capacity modeling, we evaluated multiple candidate thresholds and quantified downstream workload and missed-event trade-offs. We demonstrate that statistically optimal thresholds may produce operationally infeasible alert volumes or unacceptable miss rates. We propose a structured threshold governance framework integrating statistical performance, clinical utility, stakeholder input, and human oversight safeguards. This case illustrates how threshold decisions should be treated as organizational governance processes rather than purely technical optimizations.

ABSTRACT Objective Falls are a leading cause of morbidity and loss of independence in adults. The association between overactive bladder (OAB) and fall risk has not been thoroughly investigated. This study evaluated the association between OAB and fall history in a nationally representative sample of US adults aged 20−69 years. Methods We performed a cross‐sectional analysis of adults aged 20−69 years from the 2021−2023 National Health and Nutrition Examination Survey (NHANES). OAB was classified using a composite symptom severity score that assessed urge urinary incontinence and nocturia. Fall history was assessed by self‐reporting (only in participants aged 20−69 years), where a recent fall was defined as experiencing at least one fall within the past year. Survey multivariable logistic regression was used to estimate adjusted odds ratios (aOR) for the association between fall history and OAB after controlling for sociodemographic and clinical covariates. Results Among 4118 participants, the population‐weighted prevalence of OAB was 19.6% (standard error [SE]: 1.1%), and the prevalence of a recent fall was 28.3% (SE: 1.3%). The prevalence of a recent fall was higher among those with OAB (39.7% [SE: 1.6%] vs. 25.7% [SE: 1.5%]). The prevalence of a recent fall increased progressively with OAB symptom severity (24.3% in those with no symptoms vs. 52.4% in those with severe symptoms). In the fully adjusted model controlling for sociodemographic and clinical covariates, OAB was independently associated with a 42% higher odds of experiencing a recent fall (aOR, 1.42; 95% CI, 1.10 to 1.83; p = 0.01). Conclusion OAB is independently associated with an increased risk of a recent fall in US adults aged 20‐69 years, with a strong positive relationship between OAB severity and fall risk. These findings suggest that screening for OAB may be a useful adjunct to fall risk assessment. Future studies are needed to determine whether OAB management reduces the risk of falls.

Introduction Neurological post-acute sequelae of COVID-19 (neuroPASC) are associated with persistent cognitive dysfunction and quality-of-life decline. We aimed to identify clinical, behavioral and sociodemographic factors associated with neuroPASC symptom burden two years after COVID-19 among individuals without prior neurological disease. Methods In this prospective, observational study, individuals with neuroPASC ( n = 102) and controls without symptomatic COVID-19 ( n = 74), all without prior neurological, psychiatric, or post-viral conditions, were enrolled between February 2022 and June 2024 across five academic sites. An unsupervised algorithm identified clusters with differing self-reported neurological symptom burden within the neuroPASC group. Functional differences between clusters were evaluated using quality-of-life, neurological and cognitive evaluations. Demographics, behavioral history, comorbidities, and blood biomarkers were compared across clusters and controls. Multivariable logistic regression assessed predictors of neuroPASC severity, including demographics, body-mass-index, Charlson Comorbidity Index, Framingham Risk Score, pre-existing endocrine/metabolic and/or gastrointestinal/hepatobiliary conditions, COVID-19 vaccination prior to infection, hospitalization during acute infection, and cumulative alcohol use. Results Two clusters emerged based on neurological symptom burden, labeled “high-burden” and “low-burden” neuroPASC, reflecting differences in the number and frequency of symptoms. Both clusters had deficits in quality-of-life and cognitive function compared to controls, with greater impairment in high-burden than low-burden neuroPASC. The clusters did not differ by sex, education, tobacco and cannabis use, blood pressure, body-mass-index, HbA1C, days since infection, hospitalization during COVID-19, pre-COVID vaccination rate, antibody-positivity, inflammation, and neurodegeneration biomarkers. The high-burden cluster was older and exhibited higher comorbidity burden and greater cumulative alcohol use compared with the low-burden cluster and controls. Pre-existing endocrine/metabolic and gastrointestinal/hepatobiliary conditions were more common in high-burden (63%) than in low-burden neuroPASC (35%). After adjusting for clinical and demographic factors, these pre-existing conditions remained the only independent predictor of severity, conferring a 3.5-fold increase in the odds of high-burden versus low-burden neuroPASC. Discussion Older age, higher comorbidity burden, greater cumulative alcohol use, and endocrine/metabolic and gastrointestinal conditions, rather than acute COVID-19 severity, were observed in the high-burden neuroPASC cluster. After multivariable adjustment, only pre-existing endocrine/metabolic and/or gastrointestinal/hepatobiliary conditions remained independently associated with high-burden neuroPASC, conferring a 3.5-fold increase in odds and highlighting the need for targeted post-infection monitoring in at-risk patients.

Background/Objective: Although most melanocytic lesions are diagnosed as benign or malignant by histopathologic evaluation, with or without the aid of immunohistochemistry, diagnosis may remain uncertain in a minority of cases. Assessment of copy number abnormalities (CNAs) may provide sufficient additional evidence to favor either a benign or malignant diagnosis in both pediatric and adult cases and in melanocytic lesions of various subtypes, including Spitzoid, mucosal, and acral. CNAs are common in melanomas, while they are rare, with few exceptions, in benign lesions. Detection of CNAs by fluorescence in situ hybridization (FISH) and chromosomal microarray (CMA) has been well established for melanocytic lesions, with advantages and disadvantages for each. The objective of this meta-analysis was to evaluate the utility of CNA testing for the diagnosis of melanoma, across subtypes, when a lesion remains ambiguous after histopathologic and immunohistochemical assessment. In addition, the utility of CNAs to determine prognosis in established diagnoses of melanoma was also evaluated. Methods: The Cancer Genomics Consortium Working Group for Melanocytic Lesions reviewed published data from January 1998 through September 2022 of CNAs in melanocytic lesions detected by either FISH or CMA and conducted a meta-analysis of the findings. Results: Specific abnormalities common in primary cutaneous melanomas of various subtypes and uveal melanomas were enumerated. Differences in CNAs found in primary versus metastatic lesions were also determined, and published evidence for prognosis was summarized. Conclusions: The working group established evidence-based recommendations for the use of CNA testing for evaluation of ambiguous melanocytic lesions.

ABSTRACT Background Chemotherapy‐induced peripheral neuropathy (CIPN), characterized by loss of sensation and impaired physical function, is a prevalent and debilitating side effect of chemotherapy, affecting 30%–50% of breast cancer survivors (BCS) with effects lasting years after treatment completion. Mindfulness‐based interventions are shown to be efficacious in reducing symptoms in neuropathies. This subgroup analysis examined the effect of Mindfulness‐Based Stress Reduction on Breast Cancer (MBSR(BC)) compared to Breast Cancer Education Support (BCES) or Usual Care (UC) on CIPN among BCS who received chemotherapy or chemotherapy and radiation. Methods BCS ( n = 114) were randomly assigned to the 6‐week MBSR(BC) ( n = 48), BCES ( n = 52), or UC ( n = 14) regimen. Demographic and clinical data were assessed at baseline, and CIPN was assessed using the Chemotherapy‐Induced Peripheral Neuropathy assessment tool (CIPNAT) at baseline, 6, 12, and 26 weeks. Between‐ and within‐group differences were evaluated and change over time was compared between groups. Results BCS (mean age = 52.7 years, range: 28–81 years) were primarily White and non‐Hispanic ( n = 78, 68%). The pattern of effect sizes was similar for CIPNAT symptoms and interference with improvements in CIPN for MBSR(BC) and BCES groups overtime. For both groups, the effects were larger compared to the UC. Differences tended to increase over time with significant effects observed between MBSR(BC) and UC, and between BCES and UC at weeks 12 and 26. Conclusions The findings indicate that MBSR(BC) and BCES may effectively reduce CIPN symptoms among BCS compared to UC. MBSR(BC) and BCES programs are effective non‐pharmacological interventions for CIPN that may translate into practice.

ABSTRACT Background Adolescent and young adult (AYA) kidney transplant recipients (KTR) are susceptible to risk‐taking behaviors that peak during transfer from pediatric to adult healthcare, resulting in poorer outcomes. Professional guidelines support healthcare transition (HCT) practices to mitigate this risk; however, HCT perspectives and practices among providers, especially adult providers caring for KTR in the US, have not been widely studied. Methods An online survey of American Society of Transplantation (AST) members was conducted targeting both adult providers (AP) and pediatric providers (PP). Results The survey was completed by 135 respondents (predominantly US), including 61 PP and 74 AP. US respondents who disclosed their center ID represented 30% of all programs. Providers agreed that HCT was important (PP 97%, AP 94%) and a shared responsibility (PP 91% and AP 84%). Respondents to our survey frequently worked within transition programs (PP 70% vs. AP 48%), but the majority did not have a formal HCT policy to guide them (PP 43%, AP 21%). Multidisciplinary transition clinics were rare (PP 27%, AP 23%). Only 64% of PP included targeted HCT education either as part of a routine visit or a HCT session. Perceived barriers to providing HCT interventions were similar in both groups, including a lack of provider resources, outcomes tracking, provider communication, and patient/caregiver feedback. Conclusion Providers recognize the importance of HCT and the joint responsibility of PP and AP but have difficulty following best practices. A multipronged approach will be necessary to address barriers. Our survey reminds us of the gap that persists in providing AYAs with a seamless transfer from pediatric to adult care.

Summary Human parvovirus B19 (B19V) exhibits a strict tropism for erythroid progenitor cells, which is governed by the VP1 unique region (VP1u). This region mediates cell-specific uptake by interacting with an unknown cellular receptor, termed VP1uR. Proximity labeling in permissive erythroid cells identified transferrin receptor 1 (TfR1/CD71) as the predominant membrane protein associated with VP1u. VP1u constructs colocalized with TfR1 at the cell surface of erythroid cells. Incubation with anti-TfR1 antibody OKT9 abolished binding and uptake of recombinant VP1u. While OKT9 efficiently inhibited B19V uptake and infection, it did not block virus binding to host cells. Direct binding assays confirmed interaction of VP1u to human TfR1. Using cryoEM we solved the 2.4 Å structure of the TfR1-VP1u complex, mapping the binding site and identifying the specific interactions. These findings establish TfR1 as the previously unknown receptor, VP1uR, required for B19V uptake.

Bruton tyrosine kinase inhibitors (BTKis) and BCL2 inhibitor (BCL2i)–containing regimens significantly improve survival outcomes in patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Results from randomized clinical trials have demonstrated that time-limited treatment with BCL2i-containing regimens resulted in higher rates of undetectable measurable residual disease (uMRD) than BTKi monotherapy or chemoimmunotherapy (CIT). Pirtobrutinib (a noncovalent BTKi) and lisocabtagene maraleucel (CD19-directed CAR T-cell therapy) are newer options for relapsed or refractory disease after prior therapy with BTKi and BCL2i-contining regimens. Histologic transformation of CLL/SLL to diffuse large B-cell lymphoma (Richter transformation) is associated with a poor prognosis. Molecular analysis to determine whether there is clonal relationship between CLL/SLL and transformed diffuse large B-cell lymphoma is useful to select an appropriate treatment option. These NCCN Guideline Insights highlight significant updates to the NCCN Guidelines for the treatment of CLL/SLL and Richter transformation.