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View article: Effectiveness of Physical Activity Interventions Utilizing Wearables and Smartphone Applications for Individuals with Cardiovascular Diseases and Stroke: A Systematic Review and Meta-analysis
Effectiveness of Physical Activity Interventions Utilizing Wearables and Smartphone Applications for Individuals with Cardiovascular Diseases and Stroke: A Systematic Review and Meta-analysis Open
Background Lack of physical activity is a major risk factor for Cardiovascular diseases (CVDs). Wearables and smartphones offer potential advantages in cost, accessibility, and scale to change physical activity This systematic review aims …
View article: Area‐Level Income Disparities and the Timing of First Ischemic Stroke: Insights From the 2019 National Inpatient Sample
Area‐Level Income Disparities and the Timing of First Ischemic Stroke: Insights From the 2019 National Inpatient Sample Open
Background Socioeconomic status plays a crucial role in determining health outcomes, particularly the age at which individuals experience their first ischemic stroke. This study investigates the relationship between ZIP‐code level median i…
View article: Risk of Ischemic Stroke After Transient Ischemic Attack in Patients Receiving Comprehensive Versus Noncomprehensive Diagnostic Workup: A Systematic Review and Meta‐Analysis
Risk of Ischemic Stroke After Transient Ischemic Attack in Patients Receiving Comprehensive Versus Noncomprehensive Diagnostic Workup: A Systematic Review and Meta‐Analysis Open
Background Although a timely comprehensive diagnostic workup is recommended for patients with transient ischemic attack (TIA), few studies have examined its impact on post‐TIA ischemic stroke risk. In this study, we hypothesized that patie…
View article: Factors associated with post-stroke readmission: a systematic review and meta analysis
Factors associated with post-stroke readmission: a systematic review and meta analysis Open
Readmissions following strokes are a significant concern due to their association with adverse outcomes. The Centers for Medicare and Medicaid Services regard hospital readmissions as a measure of suboptimal hospital care and have made red…
View article: Lifestyle behaviors and cardiovascular risk factors in transgender versus cisgender stroke survivors
Lifestyle behaviors and cardiovascular risk factors in transgender versus cisgender stroke survivors Open
Transgender individuals represent a vulnerable population with unique healthcare needs. Despite facing health disparities, there is limited research on the characteristics and stroke risk factors among transgender stroke survivors. We extr…
View article: Integration of EHR and ECG Data for Predicting Paroxysmal Atrial Fibrillation in Stroke Patients
Integration of EHR and ECG Data for Predicting Paroxysmal Atrial Fibrillation in Stroke Patients Open
Predicting paroxysmal atrial fibrillation (PAF) is challenging due to its transient nature. Existing methods often rely solely on electrocardiogram (ECG) waveforms or Electronic Health Record (EHR)-based clinical risk factors. We hypothesi…
View article: Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis
Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis Open
Sepsis is a leading cause of mortality in the United States, with over 350,000 deaths annually, yet the contribution of neighborhood‐level social determinants of health (SDoH) remains underexplored. We conducted a retrospective analysis of…
View article: Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under Treatment
Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under Treatment Open
View article: Association Between Physical Activity Dose and Mental Health Among Stroke Survivors
Association Between Physical Activity Dose and Mental Health Among Stroke Survivors Open
Background Although physical activity correlates with reduced depressive symptoms among survivors of stroke, how frequency, intensity, and duration of physical activity relate to mental health is unknown. This study aims to find the associ…
View article: Large-Language-Model Mortality Risk Stratification in the Intensive Care Unit: A Benchmark Against APACHE II
Large-Language-Model Mortality Risk Stratification in the Intensive Care Unit: A Benchmark Against APACHE II Open
Background: Accurately predicting clinical trajectories in critically ill patients remains challenging due to physiological instability and multisystem organ dysfunction. Traditional prognostic tools, such as the APACHE II score, offer sta…
View article: Flexible imputation toolkit for electronic health records
Flexible imputation toolkit for electronic health records Open
Missing data in electronic health records (EHRs) poses a significant challenge for analysis. This study introduces Pympute, a comprehensive Python package designed for efficient and robust missing value imputation for EHRs. Pympute's core …
View article: The health-related quality of life among survivors with post-COVID conditions in the United States
The health-related quality of life among survivors with post-COVID conditions in the United States Open
Background Even after a mild initial SARS-CoV-2 infection, a considerable proportion of patients experience long-lasting symptoms. However, there is scarce data on how post-COVID conditions (PCCs) are associated with health-related quality…
View article: The health-related quality of life among stroke survivors with post-COVID conditions living in the United States
The health-related quality of life among stroke survivors with post-COVID conditions living in the United States Open
Our study highlights that PCCs might be associated with worse SRGH. Lower education, income, and physical activity, smoking, and comorbidities were associated with a higher rate of unfavorable SRGH among stroke survivors with PCCs.
View article: Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis
Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis Open
Objective To determine whether neighborhood-level social determinants of health (SDoH) influence mortality following sepsis in the United States. Study Setting and Design Retrospective analysis of data from 4.4 million hospitalized patient…
View article: Self-Management among Stroke Survivors in the United States, 2016 to 2021
Self-Management among Stroke Survivors in the United States, 2016 to 2021 Open
Background: Self-management among stroke survivors is effective in mitigating the risk of a recurrent stroke. This study aims to determine the prevalence of self-management and its associated factors among stroke survivors in the United St…
View article: Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients
Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients Open
Adding patient-specific demographic and socioeconomic information to clinical metrics significantly improves sepsis mortality prediction. This suggests a more comprehensive, multidimensional prognostic approach is needed for accurate sepsi…
View article: Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion
Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion Open
Purpose To create and validate an automated pipeline for detection of early signs of irreversible ischemic change from admission CTA in patients with large vessel occlusion (LVO) stroke. Methods We retrospectively included 368 patients for…
View article: Comparative analysis of machine learning versus traditional method for early detection of parental depression symptoms in the NICU
Comparative analysis of machine learning versus traditional method for early detection of parental depression symptoms in the NICU Open
Introduction Neonatal intensive care unit (NICU) admission is a stressful experience for parents. NICU parents are twice at risk of depression symptoms compared to the general birthing population. Parental mental health problems have harmf…
View article: Integrating Social Determinants of Health with SOFA Scoring to Enhance Mortality Prediction in Septic Patients: A Multidimensional Prognostic Model
Integrating Social Determinants of Health with SOFA Scoring to Enhance Mortality Prediction in Septic Patients: A Multidimensional Prognostic Model Open
Background The Sequential Organ Failure Assessment (SOFA) score is an established tool for monitoring organ failure and defining sepsis. However, its predictive power for sepsis mortality may not account for the full spectrum of influentia…
View article: Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 Open
View article: Many Models, Little Adoption—What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Many Models, Little Adoption—What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection? Open
(1) Background: Atrial fibrillation (AF) is a major risk factor for stroke and is often underdiagnosed, despite being present in 13–26% of ischemic stroke patients. Recently, a significant number of machine learning (ML)-based models have …
View article: Table of Contents
Table of Contents Open
View article: Prevalence and associated factors of cerebral microbleeds in a rural population of the United States
Prevalence and associated factors of cerebral microbleeds in a rural population of the United States Open
View article: Machine Learning-Based Prediction of Stroke in Emergency Departments
Machine Learning-Based Prediction of Stroke in Emergency Departments Open
Background: Stroke misdiagnosis, associated with poor outcomes, is estimated to occur in 9% of all stroke patients. Objectives: We hypothesized that machine learning (ML) could assist in the diagnosis of ischemic stroke in emergency depart…
View article: Development and internal validation of machine learning–based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke
Development and internal validation of machine learning–based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke Open
Aims We developed new machine learning (ML) models and externally validated existing statistical models [ischaemic stroke predictive risk score (iScore) and totalled health risks in vascular events (THRIVE) scores] for predicting the compo…
View article: An integrated pipeline for prediction of Clostridioides difficile infection
An integrated pipeline for prediction of Clostridioides difficile infection Open
With the expansion of electronic health records(EHR)-linked genomic data comes the development of machine learning-enable models. There is a pressing need to develop robust pipelines to evaluate the performance of integrated models and min…
View article: Cysteine-Altering NOTCH3 Variants Are Associated with an Increased Risk of Autoimmune Diseases
Cysteine-Altering NOTCH3 Variants Are Associated with an Increased Risk of Autoimmune Diseases Open
Autoimmune conditions have been reported among patients with cysteine-altering NOTCH3 variants and CADASIL. This study aimed to investigate the occurrence of autoimmune illnesses and markers of inflammation in such populations. Cases were …
View article: Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019
Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019 Open
View article: Thoughts and Considerations of Studies on Smart Devices for Cerebrovascular Disease Detection and Progression Monitoring
Thoughts and Considerations of Studies on Smart Devices for Cerebrovascular Disease Detection and Progression Monitoring Open
Digital sensors have potential uses in cerebrovascular diseases (CeVD), such as stroke prediction, primary and secondary prevention, and rehabilitation. Stroke is a leading cause of death and disability worldwide. Early detection and inter…
View article: The Phenotypic Spectrum of COL4A3 Heterozygotes
The Phenotypic Spectrum of COL4A3 Heterozygotes Open