Montazeri, Mahnaz and Keykhaei, Mohammad and Rashedi, Sina and Karbalai Saleh, Shahrokh and Pazoki, Marzieh and Hadadi, Azar and Sharifnia, Seyyed Hamidreza and Sotoodehnia, Mehran and Ajloo, Sanaz and Kafan, Samira and Ashraf, Haleh (2022) Prognostic significance of CHADS 2 and CHA 2 DS 2 -VASc scores to predict unfavorable outcomes in hospitalized patients with COVID-19. Journal of Cardiovascular and Thoracic Research, 14 (1). pp. 23-33. ISSN 2008-5117
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Abstract
Introduction: Owing to the imposed burden of the coronavirus disease 2019 (COVID-19),the need for stratifying the prognosis of patients has never been timelier. Hence, we aimed to ascertain the value of CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-M (one point for male instead of female) scores to predict unfavorable outcomes in COVID-19 patients.
Methods: We enrolled consecutive patients above 18 years of age with confirmed COVID-19,who were admitted between February 16 and November 1, 2020. The primary endpoint of this study was three-month all-cause mortality. The secondary endpoints were considered four major in-hospital clinical features, including acute respiratory distress syndrome, cardiac injury,acute kidney injury, and mechanical ventilation.
Results: A total of 1,406 hospitalized COVID-19 patients were studied, among which 301(21.40%) patients died during the follow-up period. Regarding the risk scores, CHADS 2≥1,CHA2DS2-VASc≥2, and CHA2DS2-VASc-M≥2 were significantly associated with mortality. The performance of all risk scores for predicting mortality was satisfactory (area under the curve:0.668, 0.668, and 0.681, respectively). Appraising secondary endpoints, we found that all three risk scores were associated with increased risk of acute respiratory distress syndrome, cardiac injury, acute kidney injury, and mechanical ventilation. Lastly, we revealed that all risk scores were significantly correlated with serum levels of laboratory biomarkers.
Conclusion: Our analysis illustrated that the CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-Mscores could aid prognostication of unfavorable outcomes in COVID-19 patients. Therefore,these easily calculable methods could be integrated into the overall therapeutic strategy to guide the COVID-19 management more accurately.
Item Type: | Article |
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Subjects: | OA Library Press > Medical Science |
Depositing User: | Unnamed user with email support@oalibrarypress.com |
Date Deposited: | 08 May 2023 05:42 |
Last Modified: | 19 Sep 2024 09:18 |
URI: | http://archive.submissionwrite.com/id/eprint/855 |