Latent class analysis: an innovative approach for identification of clinical and laboratory markers of disease severity among COVID-19 patients admitted to the intensive care unit-Reference-Cited by-同舟云学术

Latent class analysis: an innovative approach for identification of clinical and laboratory markers of disease severity among COVID-19 patients admitted to the intensive care unit

Published:2022-12 Issue: Volume:5 Page:154-162
ISSN:2772-7076
Container-title:IJID Regions
language:en
Short-container-title:IJID Regions

Author:

Sigwadhi Lovemore N.,Tamuzi Jacques L.^ORCID,Zemlin Annalise E.^ORCID,Chapanduka Zivanai C.^ORCID,Allwood Brian W.,Koegelenberg Coenraad F.^ORCID,Irusen Elvis M.^ORCID,Lalla Usha,Ngah Veranyuy D.,Yalew Anteneh^ORCID,Savieri Perseverence^ORCID,Fwemba Isaac,Jalavu Thumeka P.,Erasmus Rajiv T.,Matsha Tandi E.,Zumla Alimuddin^ORCID,Nyasulu Peter S.^ORCID

Publisher

Elsevier BV

Reference44 articles.

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2. COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infection;Al-Samkari;Blood,2020

3. COVID-19 and the cardiovascular system: a comprehensive review;Azevedo;J Hum Hypertens,2021

4. Post-COVID syndrome in individuals admitted to hospital with COVID-19: retrospective cohort study;Ayoubkhani;BMJ,2021

5. Clinical phenotypes of critically ill COVID-19 patients;Azoulay;Intensive Care Med,2020

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3. Postacute Sequelae SARS-CoV-2 Infection by Vaccination Status: A Six-Month Latent Class Analysis;2023-10-21

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