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Evaluation of Modified ATRIA Risk Score in Predicting Mortality in Hospitalized Patients With COVID-19. | LitMetric

AI Article Synopsis

  • The study evaluates the Modified Anticoagulation and Risk Factors in Atrial Fibrillation Risk Score (M-ATRIA-RS) to determine its effectiveness in predicting in-hospital mortality for COVID-19 patients, comparing it to other scoring systems like CHADS and CHA2DS2-VASc.
  • Data from 1,001 patients was analyzed, revealing that higher M-ATRIA-RS scores correlated significantly with increased mortality rates and other severe clinical outcomes.
  • The findings indicate that M-ATRIA-RS is an independent predictor of mortality, outperforming other scoring systems, and is easier to use than the Charlson Comorbidity Index (CCI).

Article Abstract

Background: As the Modified Anticoagulation and Risk Factors in Atrial Fibrillation Risk Score (M-ATRIA-RS) encompasses prognostic risk factors of novel coronavirus-2019 (COVID-19), it may be used to predict in-hospital mortality. We aimed to investigate whether M-ATRIA-RS was an independent predictor of mortality in patients hospitalized for COVID-19 and compare its discrimination capability with CHADS, CHA2DS2-VASc, and modified CHA2DS2-VASc (mCHA2DS2-VASc)-RS.

Methods: A total of 1,001 patients were retrospectively analyzed and classified into three groups based on M-ATRIA-RS, designed by changing sex criteria of ATRIA-RS from female to male: Group 1 for points 0-1 (n = 448), Group 2 for points 2-4 (n = 268), and Group 3 for points ≥5 (n = 285). Clinical outcomes were defined as in-hospital mortality, need for high-flow oxygen and/or intubation, and admission to intensive care unit.

Results: As the M-ATRIA-RS increased, adverse clinical outcomes significantly increased (Group 1, 6.5%; Group 2, 15.3%; Group 3, 34.4%; p <0.001 mortality for in-hospital). Multivariate logistic regression analysis showed that M-ATRIA-RS, malignancy, troponin increase, and lactate dehydrogenase were independent predictors of in-hospital mortality (p<0.001, per scale possibility rate for ATRIA-RS 1.2). In receiver operating characteristic (ROC) analysis, the discriminative ability of M-ATRIA-RS was superior to mCHA2DS2-VASc-RS and ATRIA-RS, but similar to that Charlson Comorbidity Index (CCI) score (AUCvs AUC Z-test=3.14 p = 0.002, AUCvs. AUC Z-test=2.14, p = 0.03; AUCvs. AUC Z-test=1.46 p = 0.14).

Conclusions: M-ATRIA-RS is useful to predict in-hospital mortality among patients hospitalized with COVID-19. In addition, it is superior to the mCHA2DS2-VASc-RS in predicting mortality in patients with COVID-19 and is more easily calculable than the CCI score.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180090PMC
http://dx.doi.org/10.1016/j.amjms.2021.06.001DOI Listing

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