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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Prior Stroke and Age Predict Acute Ischemic Stroke Among Hospitalized COVID-19 Patients: A Derivation and Validation
Teng J Peng1, Adam S Jasne1, Michael Simonov2
1Department of Neurology, Yale University School of Medicine, New Haven, CT, United States.
Insights
COVID-19 patients with a history of prior stroke or younger age are at higher risk for acute ischemic stroke (AIS). These findings highlight unique stroke predictors in COVID-19 patients compared to non-COVID stroke cohorts.
Area of Science:
- Neurology
- Infectious Diseases
- Cardiology
Background:
- The association between COVID-19 and acute ischemic stroke (AIS) is a growing concern.
- Identifying specific risk factors for AIS in hospitalized COVID-19 patients is crucial for timely intervention.
Purpose of the Study:
- To determine characteristics associated with AIS in hospitalized COVID-19 patients.
- To analyze AIS predictors in COVID-19 patients presenting with neurologic symptoms.
- To compare AIS predictors in COVID-19 patients with a non-COVID ischemic stroke cohort.
Main Methods:
- Retrospective analysis of 1,827 hospitalized COVID-19 patients (derivation cohort).
- External validation of predictive models in a New York health system cohort.
- Comparison with a control cohort of 168 non-COVID ischemic stroke patients.
Main Results:
- Among all COVID-19 patients, prior stroke history and elevated platelet count (≥200 × 1,000/μL) predicted AIS.
- In COVID-19 patients with neurologic symptoms, prior stroke history and younger age (<60) increased AIS risk.
- COVID-19 AIS patients differed from non-COVID AIS patients, being younger with less prior stroke history.
Conclusions:
- Hospitalized COVID-19 patients with neurologic symptoms and a history of prior stroke or younger age face elevated AIS risk.
- Predictors of AIS in COVID-19 patients are distinct from those in non-COVID populations.
- These findings aid in identifying high-risk COVID-19 patients for stroke prevention strategies.
Abstract:
Objectives: Our objective was to identify characteristics associated with having an acute ischemic stroke (AIS) among hospitalized COVID-19 patients and the subset of these patients with a neurologic symptom. Materials and Methods: Our derivation cohort consisted of COVID-19 patients admitted to Yale-New Haven Health between January 3, 2020 and August 28, 2020 with and without AIS. We also studied a sub-cohort of hospitalized COVID-19 patients demonstrating a neurologic symptom with and without an AIS. Demographic, clinical, and laboratory results were compared between AIS and non-AIS patients in the full COVID-19 cohort and in the sub-cohort of COVID-19 patients with a neurologic symptom. Multivariable logistic regression models were built to predict ischemic stroke risk in these two COVID-19 cohorts. These 2 models were externally validated in COVID-19 patients hospitalized at a major health system in New York. We then compared the distribution of the resulting predictors in a non-COVID ischemic stroke control cohort. Results: A total of 1,827 patients were included in the derivation cohort (AIS N = 44; no AIS N = 1,783). Among all hospitalized COVID-19 patients, history of prior stroke and platelet count ≥ 200 × 1,000/μL at hospital presentation were independent predictors of AIS (derivation AUC 0.89, validation AUC 0.82), irrespective of COVID-19 severity. Among hospitalized COVID-19 patients with a neurologic symptom (N = 827), the risk of AIS was significantly higher among patients with a history of prior stroke and age <60 (derivation AUC 0.83, validation AUC 0.81). Notably, in a non-COVID ischemic stroke control cohort (N = 168), AIS patients were significantly older and less likely to have had a prior stroke, demonstrating the uniqueness of AIS patients with COVID-19. Conclusions: Hospitalized COVID-19 patients who demonstrate a neurologic symptom and have either a history of prior stroke or are of younger age are at higher risk of ischemic stroke.
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