TY - JOUR
T1 - A history of cerebrovascular disease is independently associated with increased morbidity and mortality in patients with covid-19
T2 - A cohort study of 369,563 covid-19 cases in the USA
AU - Nia, Anna M.
AU - Srinivasan, Visish M.
AU - Hayworth, Miranda K.
AU - Lall, Rishi R.
AU - Kan, Peter
N1 - Publisher Copyright:
© 2021 S. Karger AG, Basel.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - 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 COVID- 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 COVID- 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.
AB - 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 COVID- 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 COVID- 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.
KW - COVID-19
KW - Cerebrovascular complication
KW - Cerebrovascular disease
KW - Intracerebral hemorrhage
KW - Subarachnoid hemorrhage
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U2 - 10.1159/000517499
DO - 10.1159/000517499
M3 - Article
C2 - 34515073
AN - SCOPUS:85113295934
SN - 1015-9770
VL - 51
SP - 20
EP - 28
JO - Cerebrovascular Diseases
JF - Cerebrovascular Diseases
IS - 1
ER -