COVID-19 and Stroke Recurrence by Subtypes: A Propensity-Score Matched Analyses of Stroke Subtypes in 44,994 Patients.

BACKGROUND: Cerebrovascular diseases (CVDs), including varying strokes, can recur in patients upon coronavirus disease 2019 (COVID-19) diagnosis, but risk factor stratification based on stroke subtypes and outcomes is not well studied in large studies using propensity-score matching. We identified risk factors and stroke recurrence based on varying subtypes in patients with a prior CVD and COVID-19. METHODS: We analyzed data from 45 health care organizations and created cohorts based on ICDs for varying stroke subtypes utilizing the TriNetX Analytics Network. We measured the odds ratios and risk differences of hospitalization, ICU/critical care services, intubation, mortality, and stroke recurrence in patients with COVID-19 compared to propensity-score matched cohorts without COVID-19 within 90-days. RESULTS: 22,497 patients with a prior history of CVD within 10 years and COVID-19 diagnosis were identified. All cohorts with a previous CVD diagnosis had an increased risk of hospitalization, ICU, and mortality. Additionally, the data demonstrated that a history of ischemic stroke increased the risk for hemorrhagic stroke and transient ischemic attack (TIA) (OR:1.59, 1.75, p-value: 0.044*, 0.043*), but a history of hemorrhagic stroke was associated with a higher risk for hemorrhagic strokes only (ORs 3.2, 1.7, 1.7 and p-value: 0.001*, 0.028*, 0.001*). History of TIA was not associated with increased risk for subsequent strokes upon COVID-19 infection (all p-values: ≥ 0.05). CONCLUSIONS: COVID-19 was associated with an increased risk for hemorrhagic strokes and TIA among all ischemic stroke patients, an increased risk for hemorrhagic stroke in hemorrhagic stroke patients, and no associated increased risk for any subsequent strokes in TIA patients.

A History of Cerebrovascular Disease Is Independently Associated with Increased Morbidity and Mortality in Patients with COVID-19: A Cohort Study of 369,563 COVID-19 Cases in the USA.

OBJECTIVES: We set out to evaluate the risk for severe coronavirus disease 2019 (COVID-19) infection and subsequent cerebrovascular disease (CVD) in the population with a prior diagnosis of CVD within the past 10 years. METHODS: We utilized the TriNetX Analytics Network to query 369,563 CO-VID-19 cases up to December 30, 2020. We created 8 cohorts of patients with COVID-19 diagnosis based on a previous diagnosis of CVD. We measured the odds ratios, relative risks, risk differences for hospitalizations, ICU/critical care services, intubation, mortality, and CVD recurrence within 90 days of COVID-19 diagnosis, compared to a propensity-matched cohort with no prior history of CVD within 90 days of COVID-19 diagnosis. RESULTS: 369,563 patients had a confirmed diagnosis of COVID-19 with a subset of 22,497 (6.09%) patients with a prior diagnosis of CVD within 10 years. All cohorts with a CVD diagnosis had an increased risk of hospitalization, critical care services, and mortality within 90 days of COVID-19 diagnosis. Additionally, the data demonstrate that any history of CVD is associated with significantly increased odds of subsequent CVD post-COVID-19 compared to a matched control. CONCLUSIONS: CVD, a known complication of CO-VID-19, is more frequent in patients with a prior history of CVD. Patients with any previous diagnosis of CVD are at higher risks of morbidity and mortality from COVID-19 infection. In patients admitted to the ED due to COVID-19 symptoms, these risk factors should be promptly identified as delayed or missed risk stratification and could lead to an ineffective and untimely diagnosis of subsequent CVD, which would lead to protracted hospitalization and poor prognosis.