ASA: Scoring System May Predict Stroke Risk in COVID-19 Inpatients

In COVID-19, Latest News
by Healthday

Score based on six clinical factors including no fever at time of admission, no history of pulmonary disease, high white blood cell count

TUESDAY, Feb. 8, 2022 (HealthDay News) — A new scoring system helps predict the risk for stroke among adults hospitalized with COVID-19, according to a study presented at the American Stroke Association International Stroke Conference, held from Feb. 9 to 11 in New Orleans.

Alexander E. Merkler, M.D., from Weill Cornell Medical College/NewYork-Presbyterian Hospital in New York City, and colleagues used data from 21,420 adults hospitalized with COVID-19 at 122 U.S. health care centers between March 2020 and March 2021 as part of the American Heart Association COVID-19 Registry (e.g., age, race and ethnicity; other medical conditions; medications; and vital signs and lab values at admission) to develop a scoring system to predict the risk for stroke after COVID-19 infection.

The researchers identified six clinical factors that helped predict the risk for stroke, including (1) history of stroke; (2) no fever at the time of hospital admission; (3) no history of pulmonary disease; (4) high white blood cell count; (5) history of high blood pressure; and (6) high systolic blood pressure at hospital admission. Registry patients with four or more of the clinical risk factors were more than 10 times as likely to have a stroke compared with those with fewer factors. Results from the scoring system were comparable to stroke risk determined by an artificial intelligence-based computer method.

“This clinical risk score may help professionals better understand which patients with COVID-19 are at increased risk for stroke, and, therefore, monitor them more closely and provide treatment more quickly,” Merkler said in a statement. “Future research could focus on specific treatments that may benefit people with COVID-19 who are at higher risk for stroke.”

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