Background: The incidence of ischemic stroke has been increasing in the young population over the past 20 years. Poststroke epilepsy (PSE) is a common complication after stroke. However, few population-based studies with sufficient follow-up have investigated on factors associated with PSE in young stroke survivors. Accordingly, this study aimed to determine the long-term incidence and risk factors for PSE young adults. Methods: This cohort study was conducted using data from the Taiwan National Health Insurance Research Database (NHIRD) from 2002 to 2018. All patients aged between 19 and 44 years and diagnosed with ischemic stroke from 2002 to 2015 were retrospectively enrolled with a follow-up of at least three years. Multivariable Cox regression models were performed to identify predictors of PSE, including patients’ demographics, baseline conditions, stroke severity, etiologies, comorbidities, and unhealthy behaviors. Results: Among 6512 ischemic stroke patients, 402 cases (6.2%)
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BOSTON, April 14, 2021 /PRNewswire/ Health Data Analytics Institute (HDAI) – an innovator in healthcare AI solutions – and the Department of Outcomes Research at Cleveland Clinic s Anesthesiology Institute today published findings from one of the world s largest analyses of COVID-19 mortality risk. The study,
titled Covid-19 and Excess Mortality in Medicare Beneficiaries, is posted as a pre-print on MedRxiv, and concludes that overall mortality among Medicare patients increased from 4% to 7.5% for those in the community who had a diagnosis of COVID-19 during 2020, while mortality increased from 20.3% to 24.6% among seniors residing in long-term care facilities.
The study demonstrates first that individual mortality risk due to COVID-19 can be accurately predicted based on age and a Risk Stratification Index (RSI) score developed by HDAI. The RSI is a composite measure of mortality risk associated with underlying medical conditi