Published in:
25-06-2022 | SARS-CoV-2 | IM - ORIGINAL
Mortality prediction using a modified R2CHA2DS2-VASc score among hospitalized COVID-19 patients
Authors:
David Levy, Efrat Gur, Guy Topaz, Rawand Naser, Yona Kitay-Cohen, Sydney Benchetrit, Erez Sarel, Keren Cohen-Hagai, Ori Wand
Published in:
Internal and Emergency Medicine
|
Issue 6/2022
Login to get access
Abstract
The CHA2DS2-VASc score incorporates several comorbidities which have prognostic implications in COVID-19. We assessed whether a modified score (M-R2CHA2DS2-VASc), which includes pre-admission kidney function and male sex, could be used to classify mortality risk among people hospitalized with COVID-19. This retrospective study included adults admitted for COVID-19 between March and December 2020. Pre-admission glomerular filtration rate (GFR) was calculated based on serum creatinine and used for scoring M-R2CHA2DS2-VASc. Participants were categorized according to the M-R2CHA2DS2-VASc categories as 0–1 (low), 2–3 (intermediate), or ≥ 4 (high), and according to initial COVID-19 severity score. The primary outcome was 30-day mortality rates. Secondary outcomes were mortality rates over time, and rates of mechanical ventilation, hemodynamic support, and renal replacement therapy. Eight hundred hospitalizations met the study criteria. Participants were 55% males, average age was 65.2 ± 17 years. There were similar proportions of subjects across the M-R2CHA2DS2-VASc categories. 30-day mortality was higher in those in higher M-R2CHA2DS2-VASc category and with severe or critical COVID-19 at admission. Subjects in the low, intermediate, and high M-R2CHA2DS2-VASc categories had 30-day mortality rates of 4.7%, 17% and 31%, respectively (p < 0.001). Higher category was also associated with increased need for mechanical ventilation and renal replacement therapy. All-cause 90-day mortality remained significantly associated with M-R2CHA2DS2-VASc. The M-R2CHA2DS2-VASc score is associated with 30-day mortality rates among patients hospitalized with COVID-19, and adds predictive value when combined with initial COVID-19 severity.