Predictors of COVID-19 severity: a systematic review and meta-analysis

Mudatsir, Mudatsir; Karunia Fajar, Jonny; Wulandari, Laksmi; Soegiarto, Gatot; Ilmawan, Muhammad; Purnamasari, Yeni; Aulia Mahdi, Bagus; Dwi Jayanto, Galih; Suhendra, Suhendra; Ayu Setianingsih, Yennie; Hamdani, Romi; Alexander Suseno, Daniel; Agustina, Kartika; Yuwafi Naim, Hamdan; Muchlas, Muchamad; Hunaif Dhofi Alluza, Hamid; Alfi Rosida, Nikma; Mayasari, Mayasari; Mustofa, Mustofa; Hartono, Adam; Aditya, Richi; Prastiwi, Firman; Xaverius Meku, Fransiskus; Sitio, Monika; Azmy, Abdullah; Surya Santoso, Anita; Adi Nugroho, Radhitio; Gersom, Camoya; A. Rabaan, Ali; Masyeni, Sri; Nainu, Firzan; L. Wagner, Abram; Dhama, Kuldeep; Harapan, Harapan

doi:10.12688/f1000research.26186.2

Public

Predictors of COVID-19 severity: a systematic review and meta-analysis

Published in F1000Research • Jan 6, 2021

Authors:

Mudatsir Mudatsir

Jonny Karunia Fajar

Laksmi Wulandari

Abstract

Background : The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease. Objective : To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Meth...

Subject

Internal medicine

Creatinine

Medicine

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