An Algorithm for Classifying Patients Most Likely to Develop Severe Coronavirus Disease 2019 Illness

Author:

Kattan Michael W.,Ji Xinge,Milinovich Alex,Adegboye Janet,Duggal Abhijit,Dweik Raed,Khouli Hassan,Gordon Steve,Young James B.,Jehi Lara

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference23 articles.

1. Clinical progression of patients with COVID-19 in Shanghai, China.;Chen;J Infect,2020

2. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study.;Zhou;Lancet,2020

3. Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease.;Liu;Chin Med J (Engl),2020

4. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention.;Wu;JAMA,2020

5. Cancer patients in SARS-CoV-2 infection: A nationwide analysis in China.;Liang;Lancet Oncol,2020

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