Back

CHA2DS2-VASc score on admission to predict mortality in COVID-19 patients: A meta-analysis

Sarkar, P. G.; Kumar, A.; Bandyopadhyay, D.

2021-06-09 infectious diseases
10.1101/2021.06.07.21258402 medRxiv
Show abstract

BackgroundCHA2DS2-VASc score is used in non-valvular AF patients to predict thromboembolic risk. Recent studies have tried to evaluate CHA2DS2-VASc score on admission in COVID-19 patients to predict mortality. MethodsWe conducted a literature search on 14 April 2021 to retrieve all published studies, pre-prints and grey literature related to the predictive power of CHA2DS2-VASc score in COVID-19 patients of admission and mortality. Screening of studies and data extraction was done by two authors independently. We used the Quality in Prognosis Studies (QUIPS) tool for the methodological quality assessment of the included studies. ResultsFive studies involving 5,941 patients reported the predictive value of CHA2DS2-VASc score for mortality in COVID-19 patients. The pooled sensitivity (SEN), specificity (SPE) and area under curve were 0.72 (95% CI 0.63-0.79), 0.74 (95% CI 0.67-0.81) and 0.80 (95% CI 0.76-0.83). ConclusionsCHA2DS2-VASc score at admission has good predictive value for mortality in patients with COVID-19 infection and can help clinicians identify potentially severe cases early. Early initiation of effective management in these cases may help in reducing overall mortality due to COVID-19. Trial registryWe prospectively registered this meta-analysis on PROSPERO database (Reg number: CRD42021248398).

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.