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Association of the Charlson Comorbidity Index With 1-Year Outcomes in Patients With Macular Edema Secondary to Retinal Vein Occlusion.

OBJECTIVE: To determine the predictive value of the Charlson Comorbidity Index (CCI) for outcomes in patients with macular edema secondary to retinal vein occlusion (RVO). DESIGN: Retrospective clinical cohort study. SUBJECTS: Patients seen between 2013 and 2023 at the Cole Eye Institute, Cleveland Clinic, were included. All patients were >18, diagnosed with RVO (International Classification of Diseases (ICD)-9 and 10 codes), had a complete CCI score, and had at least 1 year of ophthalmic follow-up data after their first intravitreal injection (baseline). Patients with ocular surgery, trauma, or panretinal photocoagulation were excluded. METHODS: Age-adjusted CCI scores were calculated for each patient from chart review. For patients with bilateral RVO, one eye was selected randomly. Patients were stratified into tertiles by CCI distribution: tertile 1 (CCI 0-5; mean 3.4), tertile 2 (age-CCI 4.1-6; mean 4.9), and tertile 3 (CCI &#x2265; 8; mean 9.6). Multivariable linear regression was performed to determine the predictive value of CCI and other covariates on visual and anatomical outcomes. MAIN OUTCOME MEASURES: Best-corrected visual acuity (BCVA) and central subfield thickness (CST) at 1-year follow-up. RESULTS: A total of 972 patients met all criteria, with an average age-adjusted CCI score of 6.2. Each one-point increase in CCI predicted 0.38 fewer letters in BCVA at follow-up (P < .001). Baseline BCVA was a significant predictor of follow-up BCVA in all tertiles (P < .001). In the third tertile, each one-point increase in CCI was associated with a 0.72 letter reduction in follow-up BCVA (P < .001). For CST, baseline CST was strongly predictive of final CST (P < .001), while CCI was only significant in the first tertile, where each point increase in CCI predicted a 13.7 &#xb5;m increase in CST (P = .02). In RVO subtype interaction models, the age-adjusted CCI &#xd7; CRVO interaction was not statistically significant for either 1-year BCVA (P = .269) or 1-year CST (P = .695). CONCLUSIONS: Higher CCI scores are significantly associated with worse visual outcomes in patients with RVO, particularly in the combined population and most comorbid patients (tertile 3). CCI was significantly associated with higher (thicker) CST only among the least comorbid patients (tertile 1).

Humans

Unsupervised characterization of 100,272 EHR patients identifies high-risk groups and comorbidities linked to premature aging.

Electronic health records (EHRs) contain extensive multidimensional patient data, presenting challenges for the discovery of novel and meaningful clinical patterns. Unsupervised clustering of high-dimensional clinical data holds great potential for identifying novel clinical patterns. Here, we performed unsupervised clustering and characterized 100,272 patients in the Electronic Medical Records and GEnomics (eMERGE) Network. We identified 70 clusters defined by distinct comorbidity patterns. Meanwhile, age and sex are also strongly associated with patient stratification, influencing phenotype prevalence and onset time. Notably, phenotype onset time accurately predicted chronological age and was significantly associated with overall mortality risk. Besides age and sex, we assessed the contribution of genetic variation to phenotype development and observed evidence of cross-phenotype associations influencing cluster membership and comorbidity patterns. However, the role of genetics recedes during aging. We also identified several high-risk clusters with elevated Charlson Comorbidity Index (CCI) scores and validated these findings in an independent cohort. Further analysis of these clusters revealed phenotypes linked to premature aging and highlighted a survival selection among older participants in observational studies. Overall, this study enables phenome-wide unsupervised patient stratification for multimorbidity discovery in largely unannotated clinical data, offering valuable insights into patient stratification, comorbidity analysis, aging, and health outcomes.

Journal Article

Identification of Risk Factors for Acral Melanoma in US Veterans.

IMPORTANCE: Acral melanoma (AM), localized to the palms, soles, and nail units, is a unique melanoma subtype less associated with UV radiation. Few studies have evaluated AM risk factors in a population of US veterans. OBJECTIVE: To identify AM risk factors in US veterans. DESIGN, SETTING, AND PARTICIPANTS: Nested case-control study (2000-2024) in the Veterans Affairs (VA) health care system. Individuals with AM were identified using the VA Cancer Registry and a validated natural language processing pipeline applied to pathology reports. Each AM case was matched to 4 nonacral cutaneous melanoma (CM) controls and 4 controls with no melanoma diagnoses at any time by diagnosis year and outpatient visit frequency. Controls with acral, mucosal, or ocular melanoma diagnoses at any time were excluded. Participants were veterans with histologically confirmed AM, nonacral CM controls, and controls with no melanoma diagnoses at any time. EXPOSURE: Age, sex, race and ethnicity, rurality, region, military branch, comorbidities (National Cancer Institute Comorbidity Index), smoking status, unhealthy alcohol use as measured by the Alcohol Use Disorders Identification Test-Consumption, body mass index, Agent Orange exposure (AOE), prior photosensitizing medications, nevi, keratinocyte carcinoma (KC), actinic keratosis (AK), and number of dermatology visits in the 2 years before diagnosis. MAIN OUTCOMES AND MEASURES: Adjusted odds ratios (AORs) comparing AM with controls using conditional logistic regression. Secondary outcomes included analyses limited to Vietnam Era veterans and AM localized to palmoplantar and subungual sites. RESULTS: In total, 1292 individuals with AM (median age, 70.13 [IQR, 61.87-78.66] years; 1215 [94.0%] male) were matched to 5168 controls without melanoma (median age, 73.97 [IQR, 65.53-82.08] years; 5044 [97.6%] male), and 1286 individuals with AM (median age, 70.13 [IQR, 61.97-78.67] years; 1210 [94.1%] male) were matched to 5144 CM controls (median age, 74.58 [IQR, 66.86-82.05] years; 5068 [98.5%] male); 6 individuals with AM were excluded from AM vs CM analyses due to lack of matches. AOE was significantly associated with higher odds of AM vs CM (AOR, 1.31; 95% CI, 1.06-1.62) and vs controls without melanoma (AOR, 1.27; 95% CI, 1.04-1.56). Current smoking was associated with lower odds of AM (vs CM: AOR, 0.65; 95% CI, 0.52-0.81; vs controls without melanoma: AOR, 0.50; 95% CI, 0.40-0.62). Prior KC and AK were associated with higher odds vs controls without melanoma but lower odds vs CM. Prior nevus was associated with higher odds of AM vs controls without melanoma. CONCLUSIONS AND RELEVANCE: Results of this study suggest that several factors were associated with AM in veterans and a need for continued investigation of AM as a distinct entity from CM and may inform future evaluations of the associations between AOE and AM in veteran populations.

Aged

Representation of Alzheimer Disease and Related Dementias in a Statewide Population Genomics Cohort: Early Findings from In Our DNA SC.

Alzheimer Disease and Related Dementias (ADRD) affect more than 125,000 individuals in South Carolina, yet equitable representation in population genomics initiatives remains a concern. We conducted a cross-sectional descriptive analysis of 247 In Our DNA SC participants aged 50 to 89 years with at least 1 ADRD-related diagnosis, identified using ICD-10 codes, to characterize demographic and clinical features and to compare the cohort with statewide ADRD estimates. Most participants were aged 65 years or older (82.2%), female (52.2%), and White (93.1%), while only 5.3% identified as Black. Nearly half had a Charlson Comorbidity Index score of 4 or greater (48.6%), and 49.5% had at least 10 years of longitudinal electronic health record data. Compared with statewide ADRD estimates, Black individuals were substantially underrepresented despite comprising &#x223c;one-third of ADRD cases in South Carolina. These findings highlight the need for continued efforts to improve representation and support equitable, generalizable precision health research.

Humans

Obsessive-compulsive disorder with hoarding behavior: unravelling key differences.

OBJECTIVE: Hoarding disorder remains underexplored and poorly understood despite its significant impact on individuals and communities. While historically linked to obsessive-compulsive disorder (OCD), emerging evidence suggests they may be distinct conditions. This study aims to investigate these differences. METHODS: Adults aged 18-88 years old (M = 39.86, SD = 14.86) were part of the Genomic Psychiatry Cohort study, including 1247 individuals with OCD without presumed hoarding disorder (OCD-pHD) and 663 individuals with OCD and presumed hoarding disorder (OCD+pHD). Sociodemographic data were collected, and participants were screened for other psychiatric conditions. All met DSM-5 criteria for OCD, with severity assessed using the Florida Obsessive-Compulsive Inventory and Y-BOCS. Statistical significance was set at p &#x2264; 0.0007, adjusted for multiple comparisons. RESULTS: The OCD+pHD group had significantly lower educational attainment, was more likely to live alone or in supervised living, and less likely to be married. This group also had more severe OCD and poorer insight. All types of obsessions and compulsions were more frequent in the OCD+pHD group, except for obsessions related to harming others. Additionally, the OCD+pHD group had higher rates of major depressive disorder, post-traumatic stress disorder, bipolar disorder, schizophrenia, body dysmorphic disorder, trichotillomania and previous diagnosis and/or symptoms of attention deficit and hyperactivity disorder. No significant difference was found for substance use and Tic/Tourette disorders. CONCLUSIONS: Significant clinical differences were observed between the groups, highlighting the need for further research to improve diagnosis, conceptualization, awareness, and support for individuals with hoarding disorder in the context of OCD.

Humans

Assessing comorbidities and predicting risk: A primer for APRNs.

Today's clinical environments are rife with tools designed to comprehensively account for medical complexity and comorbidities while predicting risk for a host of adverse health-related outcomes. Therefore, it is imperative that advanced practice registered nurses (APRNs) understand the structure and function of these tools, their similarities and differences, their limitations, and strategies for appropriate incorporation into practice. This article offers a practical overview for APRNs, emphasizing clinical implications and guidance for aligning assessment tools with the clinical population of interest to improve care delivery, quality, and patient outcomes.

Humans

Proteomic Mediators of Chronic Obstructive Pulmonary Disease Phenotypes and Coronary Artery Calcification Burden in Ever Smokers.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) increases cardiovascular disease risk. Coronary artery calcification (CAC) predicts cardiovascular events and mortality in COPD. We hypothesized that plasma proteins linked to pulmonary phenotypes mediate CAC burden. METHODS: Pulmonary function, emphysema, airway wall thickening, Agatston CAC scores (inverse normal transformed), and relative abundance of 1305 plasma proteins (log-transformed) were assessed in 989 Phase 1 COPDGene (Genetic Epidemiology of COPD) participants. Proteins associated with both pulmonary phenotypes (FEV1[forced expiratory volume in 1 second]%predicted, FVC [forced vital capacity], FEV1/FVC, emphysema, airway wall thickness, wall area percentage) and CAC (false discovery rate P&#x2264;0.20) were evaluated using multivariable mediation. Model adjustments included sex, age, race, body mass index, smoking, comorbidities, and medications. Adjustment for pulmonary artery-to-aortic diameter ratio-a marker of pulmonary vascular pressure-was also explored. The95% bootstrap CIs that excluded zero were considered significant. RESULTS: FEV1%predicted (P=0.026) and FEV1/FVC (P=0.010) were associated with CAC. After adjusting for FEV1, visual emphysema, and visual airway wall thickening remained associated with CAC. Five proteins (TSP2 [thrombospondin-2], renin, MMP-7 [matrix metalloproteinase-7], ERBB1 [epidermal growth factor receptor], MIC-1 [macrophage inhibitory cytokine-1]) mediated the FEV1%predicted and CAC association. All except MIC-1 mediated FEV1/FVC and CAC. All except renin mediated quantitative airway wall thickness or wall area percentage and CAC. Additionally, &#x3b1;2-antiplasmin (alpha-2 antiplasmin) mediated airway wall thickness and CAC. ERBB1 mediated visual paraseptal emphysema and CAC. Pulmonary artery-to-aortic diameter ratio adjustment reduced or eliminated some mediation effects. ERBB1 remained an independent mediator across multiple phenotypes. CONCLUSIONS: Six plasma proteins mediated associations between COPD phenotypes and CAC burden. These effects were partially influenced by pulmonary artery-to-aortic diameter ratio A, suggesting shared molecular pathways linking lung dysfunction to cardiovascular risk in COPD.

Humans

Polygenic risk scores and lifestyle factors predicting new onset of type 2 diabetes in the Japanese general population.

PURPOSE: This study investigated the association of polygenic risk scores (PRS) and lifestyle factors with type 2 diabetes mellitus development in Japanese populations and evaluated whether PRS can improve diabetes risk prediction beyond traditional risk factors. METHODS: We conducted a cross-sectional and a longitudinal study using the Shika resident cohort (n = 895) and the Toshiba worker cohort (n = 7019), respectively. Participants were categorized into low, intermediate, and high genetic risk groups using PRS constructed with genome-wide association study data from East Asian populations. We defined diabetes based on hemoglobin A1c, fasting blood glucose, self-reported diagnosis, or medication use. The associations of PRS and lifestyle factors with diabetes development were analyzed using multivariate logistic regression and Cox proportional hazards models. RESULTS: Higher PRS were associated with increased diabetes risk in both cohorts (resident cohort: odds ratio 4.51, 95% CI 2.53-8.04; worker cohort: hazard ratio 1.50, 95% CI 1.23-1.83 for high vs low PRS), which remained consistent across age, body mass index, and comorbidities. Regular exercise, absence of hypertension, and absence of dyslipidemia were associated with lower diabetes risk, particularly in the high PRS group. The addition of PRS to conventional prediction models improved the discrimination of diabetes risk. MAIN CONCLUSION: PRS are associated with diabetes risk in Japanese general populations, independent of traditional risk factors. Nonetheless, healthy lifestyle habits may reduce diabetes risk even among genetically susceptible individuals, which support the utility of PRS for personalized diabetes risk assessment and prevention strategies.

Adult

A Digital Tool for Clinical Evidence-Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study.

BACKGROUND: Clinical guideline development preferentially relies on evidence from randomized controlled trials (RCTs). RCTs are gold-standard methods to evaluate the efficacy of treatments with the highest internal validity but limited external validity, in the sense that their findings may not always be applicable to or generalizable to clinical populations or population characteristics. The external validity of RCTs for the clinical population is constrained by the lack of tailored epidemiological data analysis designed for this purpose due to data governance, consistency of disease or condition definitions, and reduplicated effort in analysis code. OBJECTIVE: This study aims to develop a digital tool that characterizes the overall population and differences between clinical trial eligible and ineligible populations from the clinical populations of a disease or condition regarding demography (eg, age, gender, ethnicity), comorbidity, coprescription, hospitalization, and mortality. Currently, the process is complex, onerous, and time-consuming, whereas a real-time tool may be used to rapidly inform a guideline developer's judgment about the applicability of evidence. METHODS: The National Institute for Health and Care Excellence-particularly the gout guideline development group-and the Scottish Intercollegiate Guidelines Network guideline developers were consulted to gather their requirements and evidential data needs when developing guidelines. An R Shiny (R Foundation for Statistical Computing) tool was designed and developed using electronic primary health care data linked with hospitalization and mortality data built upon an optimized data architecture. Disclosure control mechanisms were built into the tool to ensure data confidentiality. The tool was deployed within a Trusted Research Environment, allowing only trusted preapproved researchers to conduct analysis. RESULTS: The tool supports 128 chronic health conditions as index conditions and 161 conditions as comorbidities (33 in addition to the 128 index conditions). It enables 2 types of analyses via the graphic interface: overall population and stratified by user-defined eligibility criteria. The analyses produce an overview of statistical tables (eg, age, gender) of the index condition population and, within the overview groupings, produce details on, for example, electronic frailty index, comorbidities, and coprescriptions. The disclosure control mechanism is integral to the tool, limiting tabular counts to meet local governance needs. An exemplary result for gout as an index condition is presented to demonstrate the tool's functionality. Guideline developers from the National Institute for Health and Care Excellence and the Scottish Intercollegiate Guidelines Network provided positive feedback on the tool. CONCLUSIONS: The tool is a proof-of-concept, and the user feedback has demonstrated that this is a step toward computer-interpretable guideline development. Using the digital tool can potentially improve evidence-driven guideline development through the availability of real-world data in real time.

Humans

A two-center randomized clinical superiority trial of single-anastomosis sleeve ileal bypass versus sleeve gastrectomy for severe obesity: SASSY study protocol.

BACKGROUND: Single-anastomosis sleeve ileal bypass is a novel metabolic bariatric surgery intended to enhance metabolic outcomes and reduce the risk of postoperative complications. Although preliminary outcome data for single-anastomosis sleeve ileal bypass are promising, evidence from adequately powered, randomized head-to-head comparisons is scarce. This trial compares the efficacy and safety of single-anastomosis sleeve ileal bypass versus sleeve gastrectomy in patients with class II obesity (body mass index = 35.0-39.9&#x2009;kg/m&#xb2;) with at least one obesity&#x2011;related comorbidity or class III obesity (body mass index &#x2a7e;40.0&#x2009;kg/m&#xb2;). METHODS: This two-center randomized clinical superiority trial enrolls patients eligible for metabolic bariatric surgery at two specialized Norwegian centers. Included patients are randomly assigned (1:1) to either single-anastomosis sleeve ileal bypass or sleeve gastrectomy with standardized perioperative treatment and care. The primary endpoint is the between-group difference in change in body mass index from baseline to 2&#x2009;years after single-anastomosis sleeve ileal bypass versus sleeve gastrectomy. Secondary endpoints include additional weight loss outcomes, the prevalence of gastroesophageal reflux disease, surgical and postoperative complications, obesity-related comorbidities, nutritional status, bone mineral density, gastrointestinal symptoms, quality of life, and rates of revisional and conversion surgery. All endpoints will be evaluated at 2 and 5&#x2009;years after surgery. Statistical analyses utilize linear mixed models and analysis of covariance within an intention-to-treat framework. DISCUSSION: This trial will provide high-level evidence with robust and comparative outcome data on single-anastomosis sleeve ileal bypass and sleeve gastrectomy, aiming to clarify the clinical utility of single-anastomosis sleeve ileal bypass and inform surgical practice. Findings will address gaps in medium- and long-term evidence regarding weight loss, safety, comorbidity resolution, and quality of life following single-anastomosis sleeve ileal bypass.

Humans

Multimodal risk assessment for oral potentially malignant disorders: Integrating patient-centered and specimen-derived data.

BACKGROUND: Oral potentially malignant disorders exhibit heterogeneous malignant transformation risk that clinical approaches fail to adequately predict. Histopathologic dysplasia grading, the reference standard of risk assessment, is associated with poor interobserver reliability and limited prognostic discrimination. It is necessary to define other potential patient- and tissue-associated risk modifiers to improve patient-specific disease prediction. TYPES OF STUDIES REVIEWED: PubMed was queried for patient- and specimen-derived factors as they relate to oral cancer and oral potentially malignant disorders, with preference for systematic review and meta-analysis articles published within the past 5 years. When not available, guidelines from the American Cancer Society, National Cancer Institute, or other national organizations or the most recent best articles were referenced to support the data presented. RESULTS: Within patient-associated factors, validated measures of tobacco and alcohol exposure, clinical lesion characteristics, systemic health factors including metabolic syndrome components, comorbidity risk, and dental health indexes were found. Within specimen-derived data, tissue-based analyses encompassing histopathology and advanced molecular profiling (genomic, epigenomic, transcriptomic, spatial approaches), blood-based germline and somatic mutation analysis, and saliva-based microbiome characterization and inflammatory biomarker assessment were addressed. PRACTICAL IMPLICATIONS: Malignant transformation reflects intersecting patient and specimen risk pathways that affect each patient differently; no single modality captures this complexity. Realizing precision prognostication in oral precancer will require coordinated expansion and standardization of data collection across research groups. This review is intended to guide covariate selection for prospective study design, improve reproducibility, and ultimately enable the development of validated multimodal risk prediction tools for clinical deployment.

Humans

Oral semaglutide for weight loss and liver fibrosis in overweight and obesity: A randomized controlled trial.

BACKGROUND AND OBJECTIVES: Obesity is a leading risk factor for fatty liver disease and weight loss has been shown to improve liver parameters. This study evaluates the efficacy of oral semaglutide for weight loss in individuals with overweight or obesity, excluding those with diabetes mellitus. METHODS: A randomized, open-label, controlled trial was conducted at the Asian Institute of Gastroenterology, Hyderabad, from June 2022 to December 2023. Adults (&#x2265;&#x2009;18&#xa0;years) with a body mass index (BMI)&#x2009;&#x2265;&#x2009;30 or&#x2009;&#x2265;&#x2009;27 with comorbidities (pre-diabetes, hypertension, dyslipidemia, obstructive sleep apnea or cardiovascular disease) were randomized into two groups. Both groups received counselling on a reduced-calorie diet and increased physical activity. Group 1 also received oral semaglutide, starting at 3&#xa0;mg/day and titrated to 14&#xa0;mg/day over two to four&#xa0;weeks. The objectives were to assess the effects of semaglutide on weight loss, non-invasive markers of liver fibrosis and cardiometabolic parameters. (ClinicalTrials.gov ID: NCT05442450). RESULTS: Total 116 participants (58 per group) completed the study. At 28&#xa0;weeks, the mean percentage weight reduction was -10.47% (SD 5.3) in the Semaglutide group vs. -2.4% (SD 4.5) in the control group (p&#x2009;<&#x2009;0.001). Semaglutide treatment significantly improved alanine aminotransferase (ALT) (serum glutamic-pyruvic transaminase [SGPT]) levels, along with reductions in the aspartate aminotransferase to platelet ratio index (APRI) score, liver fat content and liver stiffness. However, NFS (NAFLD fibrosis score) and FIB-4 (fibrosis-4 index) did not show significant reductions. Improvements in BMI, waist circumference, HbA1c, fasting insulin and C-reactive protein (CRP) were significantly greater with semaglutide (p&#x2009;<&#x2009;0.001). Total fat mass decreased by 7.3&#xa0;kg vs. 1.74&#xa0;kg (p&#x2009;<&#x2009;0.0001) in controls, while visceral fat ratings dropped by 3.67 vs. 0.6 (p&#x2009;<&#x2009;0.0001). CONCLUSIONS: In adults with overweight or obesity without diabetes, oral semaglutide, combined with dietary and lifestyle modifications, led to significant and clinically meaningful weight loss and metabolic improvements compared to lifestyle modifications alone.

Adult

Machine learning-based prediction of unplanned readmission and construction of an online calculator for elderly patients with mild ischemic stroke.

OBJECTIVE: To screen for independent risk factors for unplanned readmission in elderly patients with mild ischemic stroke, and to construct and validate an online risk prediction calculator based on an interpretable machine learning model, thereby providing a promising practical tool for accurate clinical assessment of 30&#x2011;day all&#x2011;cause unplanned readmission risk in this population. METHODS: A prospective cohort study was conducted, including 1050 patients aged&#xa0;&#x2265;&#xa0;60&#xa0;years with mild ischemic stroke admitted between August 2023 and September 2024. Participants were randomly divided into a training set (840 cases) and a test set (210 cases) at a ratio of 8:2. Risk factors were screened by univariate analysis and multivariable Logistic regression. Four machine learning models, namely LightGBM, XGBoost, Random Forest, and K&#x2011;Nearest Neighbors (KNN), were developed and their performance was evaluated using AUC, accuracy, sensitivity, and specificity as metrics. The SHAP framework was used for interpretability analysis, and an online calculator was subsequently developed based on the optimal model. RESULTS: Univariate analysis showed significant differences (P&#xa0;<&#xa0;0.05) in 13 factors including age, smoking, AIP, TyG index, HALP score, etc. Multivariable Logistic regression identified age (OR&#xa0;=&#xa0;9.752), smoking (OR&#xa0;=&#xa0;5.171), AIP (OR&#xa0;=&#xa0;6.691), TyG index (OR&#xa0;=&#xa0;4.393), HALP score (OR&#xa0;=&#xa0;2.831), and&#xa0;&#x2265;&#xa0;2 comorbidities (OR&#xa0;=&#xa0;3.664) as independent risk factors. All four machine learning models demonstrated good predictive performance. Based on a comprehensive evaluation of multiple metrics and computational efficiency, the LightGBM model exhibited the best predictive performance (AUC&#xa0;=&#xa0;0.884, accuracy&#xa0;=&#xa0;0.829, sensitivity&#xa0;=&#xa0;0.812, specificity&#xa0;=&#xa0;0.875). SHAP analysis showed that age, AIP, TyG index, smoking, and HALP score were key predictors. An online calculator developed based on this model enables individualized risk predictions. CONCLUSION: Key risk factors associated with 30&#x2011;day unplanned readmission in elderly patients with mild ischemic stroke were identified. The LightGBM model demonstrated high predictive accuracy, and together with the interpretability analysis and online calculator, offers a practical tool to support clinical risk assessment. However, this tool requires future external validation.

Humans

Putting Globus Into Context: Prevalence, Characteristics, and Overlap With Other Disorders of Gut-Brain Interaction.

OBJECTIVE: Globus is characterized by the sensation of a lump in the throat without dysphagia or underlying structural abnormality or major motility disorder. Reported prevalences vary considerably across studies. Globus has been linked to both heartburn and affective disorders. This study aims to determine the global prevalence of globus, its association with heartburn, overlap with disorders of gut-brain interaction (DGBI) and psychosocial disorders, and its impact on health-related quality of life (HRQOL). METHODS: Internet surveys from the Rome Foundation Global Epidemiology study were used (N&#xa0;=&#xa0;54,127). Rome IV criteria were used to identify globus and concurrent DGBI. Heartburn was defined as symptoms &#x2265; 2-3&#xa0;days/week. Psychosocial co-morbidity and somatic symptom severity were assessed with PHQ-4 and PHQ-15, and HRQOL by PROMIS-10. RESULTS: The global prevalence of globus according to Rome IV criteria was 0.75%, representing 12.8% of esophageal DGBI and 1.86% of all DGBI. Prevalence was highest in Western Europe (0.94%) and Asia (0.90%), and lowest in the Middle East (0.31%). Globus was slightly more common in females (55.4%), and most affected individuals were aged between 40 and 64&#xa0;years (46.6%). Coexisting heartburn was reported in 17.4% of cases, esophageal DGBI in 9.1%, and non-esophageal DGBI in 49.0%. Anxiety and/or depression was present in 60.5%. CONCLUSION: Global prevalence of globus is 0.75%, with a slight female predominance, and is most prevalent below 65&#xa0;years. Overlap with non-esophageal DGBI was greater than with heartburn symptoms or esophageal DGBI, and most patients had anxiety and/or depressive symptoms.

Humans

Polygenic liability for anxiety in association with comorbid anxiety in multiple sclerosis.

OBJECTIVE: Comorbid anxiety occurs often in MS and is associated with disability progression. Polygenic scores offer a possible means of anxiety risk prediction but often have not been validated outside the original discovery population. We aimed to investigate the association between the Generalized Anxiety Disorder 2-item scale polygenic score with anxiety in MS. METHODS: Using a case-control design, participants from Canadian, UK Biobank, and United States cohorts were grouped into cases (MS/comorbid anxiety) or controls (MS/no anxiety, anxiety/no immune disease or healthy). We used multiple anxiety measures: current symptoms, lifetime interview-diagnosed, and lifetime self-report physician-diagnosed. The polygenic score was computed for current anxiety symptoms using summary statistics from a previous genome-wide association study and was tested using regression. RESULTS: A total of 71,343 individuals of European genetic ancestry were used: Canada (n&#x2009;=&#x2009;334; 212 MS), UK Biobank (n&#x2009;=&#x2009;70,431; 1,390 MS), and the USA (n&#x2009;=&#x2009;578 MS). Meta-analyses identified that in MS, each 1-SD increase in the polygenic score was associated with ~50% increased odds of comorbid moderate anxious symptoms compared to those with less than moderate anxious symptoms (OR: 1.47, 95% CI: 1.09-1.99). We found a similar direction of effects in the other measures. MS had a similar anxiety genetic burden compared to people with anxiety as the index disease. INTERPRETATION: Higher genetic burden for anxiety was associated with significantly increased odds of moderate anxious symptoms in MS of European genetic ancestry which did not differ from those with anxiety and no comorbid immune disease. This study suggests a genetic basis for anxiety in MS.

Humans

Epidemiology, diagnosis, and surgical management of urolithiasis in older adults: overview from EAU endourology.

PURPOSE OF REVIEW: Population ageing is changing everyday urological practice. The number of older adults is increasing, and urology already treats a patient population that is, on average, older than the general population. Consequently, older adults with urolithiasis represent a core part of contemporary endourological practice. Given this, a focused review of the available evidence is valuable to inform clinical practice. RECENT FINDINGS: A peak in stone disease can occur in older adults who may also be less likely to present with the classical features of renal colic. As such, delayed or missed diagnosis may carry greater clinical consequences. Although the literature remains relatively limited, ureteroscopy, shock wave lithotripsy, and percutaneous nephrolithotomy remain feasible options in appropriately selected older adults. In this group in particular, broader health associations merit consideration, as the presence of urolithiasis in older adults may reflect overall health status in later life. SUMMARY: The burden of urolithiasis in older adults is increasing and now represents a routine component of everyday clinical practice. Clinical presentation may differ from that seen in younger "index" patients, and complications may have a greater impact on recovery and function. Management should therefore be individualized, taking into account comorbidity, frailty, functional status, and the patient's own priorities.

Humans

Add-on treatment with vinpocetine reduces seizure frequency and improves comorbidities in patients with loss-of-function &#x3b3;-aminobutyric acid type A receptor variants.

OBJECTIVE: The semisynthetic compound vinpocetine has gained attention as a potential precision medicine for developmental and epileptic encephalopathies caused by loss-of-function (LoF) variants in &#x3b3;-aminobutyric acid type A (GABAA) receptor genes. As a positive allosteric modulator of GABAA receptors, case reports suggest that vinpocetine can reduce epileptiform activity and seizure frequency, while improving cognitive function in patients with GABAA receptor-related epilepsies. Here, we extend these observations with a retrospective observational study evaluating the response to vinpocetine in an additional seven patients. METHODS: Patients initiated treatment with vinpocetine between 2018 and 2025 at the Danish Epilepsy Centre or abroad. Clinical data were collected from medical records, seizure diaries, and neuropsychological assessments. The modulatory efficacy of vinpocetine was investigated using electrophysiological studies. RESULTS: Nine patients harboring eight GABAA receptor LoF variants were given add-on vinpocetine treatment. Electrophysiological analyses confirmed dose-dependent positive modulation by vinpocetine across tested variants. Six patients with a median age of 15.5&#x2009;years (range&#x2009;=&#x2009;6-29) continued treatment for a median of 24&#x2009;months (range&#x2009;=&#x2009;12-90), whereas three discontinued due to adverse effects (AEs) or lack of efficacy. The patients' level of function ranged from normal to moderate intellectual disability, psychiatric comorbidities, and behavioral disturbances. Four patients initiated vinpocetine due to uncontrolled seizures. One became seizure-free, and two experienced a 50%-55% reduction. Electroencephalograms demonstrated improved spike-wave indexes in four patients. Six showed improvement in nonseizure factors, and caregivers reported reduced aggressivity and better vocabulary in one. Vinpocetine was well tolerated, with only mild and reversible AEs reported. SIGNIFICANCE: Adjunctive vinpocetine shows promise as a targeted therapy for patients with GABAA receptor LoF variants, decreasing seizure frequency and positively impacting nonseizure factors, with only mild AEs reported. Vinpocetine may be a safe and effective therapy for patients with GABAA receptor-related epilepsies, which should be investigated further in future N-of-1 trials.

Humans

Investigation of associations between the neonatal gut microbiota and severe viral lower respiratory tract infections in the first 2 years of life: a birth cohort study with metagenomics.

BACKGROUND: Early-life gut microbiota affects immune system development, including the lung immune response (gut-lung axis). We aimed to investigate whether gut microbiota composition in neonates in the first week of life is associated with hospital admissions for viral lower respiratory tract infections (vLRTIs). METHODS: The Baby Biome Study (BBS) is a prospective birth cohort, which enrolled mother-baby pairs between Jan 1, 2016, and Dec 31, 2017, at three UK hospitals. In the present study, we only included BBS babies with a sequenced first-week stool sample and successful data linkage. Stool was collected in the first week of life for shotgun-metagenomic sequencing. We examined the following microbiota features: alpha diversity (Chao1, Shannon, and Simpson indices) and community structures (cluster-partitioning against medoids method). The participants were followed up through linkage to the Hospital Episode Statistics-Admitted Patient Care (HES-APC) database to determine vLRTI hospital admission incidence in the first 2 years of life. We used Poisson mixed-effects models for univariable and multivariable analyses to evaluate the association between microbiota features and vLRTI hospital admission incidence, adjusting for confounders identified through direct acyclic graphs. FINDINGS: 3305 (95%) of the 3476 BBS-enrolled babies for whom consent to data linkage was obtained were included in the present study. 1111 (34%) babies had a first-week sequenced stool sample, of whom 1082 (97%; 564 born vaginally and 518 born by caesarean section) were successfully linked to HES-APC, and had median follow-up of 2&#xb7;0 years (IQR 1&#xb7;4-2&#xb7;9). Most babies were born at term (996 [92%] &#x2265;37 weeks gestational age and 1070 [99%] >35 weeks gestational age) and healthy (1050 [97%] had no comorbidities), and 520 (48%) were female and 562 (52%) were male. Higher first-week gut microbiota alpha diversity was associated with reduced rates of vLRTI hospital admission (Chao1 Index adjusted hazard ratio [HR] 0&#xb7;92 [95% CI 0&#xb7;85-0&#xb7;99]; Shannon Index adjusted HR 0&#xb7;57 [0&#xb7;33-0&#xb7;98]; and Simpson Index adjusted HR 0&#xb7;36 [0&#xb7;11-1&#xb7;20]). Three microbiota clusters were identified. Cluster 1 had a mixed composition and cluster 2 was dominated by Bifidobacterium breve, with both clusters observed in babies born vaginally and by caesarean section. Cluster 3 was found only in vaginally born babies and was dominated by Bifidobacterium longum. Having cluster 1 (mixed) or cluster 2 (B breve dominated) was independently associated with increased rates of vLRTI hospital admission compared with cluster 3 (B longum dominated; cluster 1 [mixed] 3&#xb7;05 [1&#xb7;25-7&#xb7;41] and cluster 2 [B breve dominated] 2&#xb7;80 [1&#xb7;06-7&#xb7;44]). INTERPRETATION: We report observational evidence that first-week gut microbiota differences are associated with clinically severe vLRTI in young children. This study identified bacterial species that could be of interest for vLRTI prevention. This finding has important implications for the design of future research and intervention strategies. FUNDING: The Wellcome Trust and Wellcome Sanger Institute core funding.

Humans