Diabetes as an independent risk factor for stroke recurrence in ischemic stroke patients: an updated meta-analysis
L Zhang, X Li, CDA Wolfe, MDL O'Connell… - Neuroepidemiology, 2021 - karger.com
Introduction: Stroke and its recurrence and diabetes will increase in incidence as the
population ages globally. This study explores the relationship between diabetes and stroke …
population ages globally. This study explores the relationship between diabetes and stroke …
Imputation of missing values for electronic health record laboratory data
Abstract Laboratory data from Electronic Health Records (EHR) are often used in prediction
models where estimation bias and model performance from missingness can be mitigated …
models where estimation bias and model performance from missingness can be mitigated …
Prediction of long-term stroke recurrence using machine learning models
Background: The long-term risk of recurrent ischemic stroke, estimated to be between 17%
and 30%, cannot be reliably assessed at an individual level. Our goal was to study whether …
and 30%, cannot be reliably assessed at an individual level. Our goal was to study whether …
Usability and feasibility of PreventS-MD web app for stroke prevention
VL Feigin, R Krishnamurthi… - … Journal of Stroke, 2024 - journals.sagepub.com
Background: Most strokes and cardiovascular diseases (CVDs) are potentially preventable if
their risk factors are identified and well controlled. Digital platforms, such as the PreventS …
their risk factors are identified and well controlled. Digital platforms, such as the PreventS …
Predicting short and long-term mortality after acute ischemic stroke using EHR
Objective Despite improvements in treatment, stroke remains a leading cause of mortality
and long-term disability. In this study, we leveraged administrative data to build predictive …
and long-term disability. In this study, we leveraged administrative data to build predictive …
Machine learning-enabled 30-day readmission model for stroke patients
Background and Purpose: Hospital readmissions impose a substantial burden on the
healthcare system. Reducing readmissions after stroke could lead to improved quality of …
healthcare system. Reducing readmissions after stroke could lead to improved quality of …
Sex Differences in Trends in Stroke Recurrence and Postrecurrence Mortality 2000–2020: Population‐Based Brain Attack Surveillance in Corpus Christi Project
Objective This study was undertaken to delineate 21‐year sex‐specific trends in recurrence
and postrecurrence mortality. Methods Between 2000 and 2020, first‐ever ischemic stroke …
and postrecurrence mortality. Methods Between 2000 and 2020, first‐ever ischemic stroke …
Long-term mortality in ischemic stroke patients with concomitant chronic obstructive pulmonary disease
Background Long-term mortality in ischemic stroke patients with concomitant COPD has
been largely unexplored. This study aimed to compare long-term all-cause mortality in …
been largely unexplored. This study aimed to compare long-term all-cause mortality in …
Healthy diet habit attenuated the association of poor sleep quality with non-fatal ischemic stroke: a prospective rural cohort
H Zhang, J Yang, R Gu, J Yang, X Dong, Z Ren, S Sun… - Nutrition, 2024 - Elsevier
Objective The combined impact of sleep quality and diet habit on ischemic stroke remains
unclear, particularly in rural population. Therefore, this study aimed to estimate the single …
unclear, particularly in rural population. Therefore, this study aimed to estimate the single …
Predicting mortality among ischemic stroke patients using pathways-derived polygenic risk scores
We aim to determine whether ischemic stroke (IS)-related PRSs are also associated with
and further predict 3-year all-cause mortality. 1756 IS patients with European ancestry were …
and further predict 3-year all-cause mortality. 1756 IS patients with European ancestry were …