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

OBJECTIVE: The aim of this study was to identify clinical and laboratory phenotype distribution patterns and their usefulness as prognostic markers in COVID-19 patients admitted to the intensive care unit (ICU) at Tygerberg Hospital, Cape Town. METHODS AND RESULTS: A latent class analysis (LCA) mode...

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Detalles Bibliográficos
Autores principales: Sigwadhi, Lovemore N., Tamuzi, Jacques L., Zemlin, Annalise E., Chapanduka, Zivanai C., Allwood, Brian W., Koegelenberg, Coenraad F., Irusen, Elvis M., Lalla, Usha, Ngah, Veranyuy D., Yalew, Anteneh, Savieri, Perseverence, Fwemba, Isaac, Jalavu, Thumeka P., Erasmus, Rajiv T., Matsha, Tandi E., Zumla, Alimuddin, Nyasulu, Peter S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Coronavirus (COVID-19) Collection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622019/
https://www.ncbi.nlm.nih.gov/pubmed/36339932
http://dx.doi.org/10.1016/j.ijregi.2022.10.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622019/
https://www.ncbi.nlm.nih.gov/pubmed/36339932
http://dx.doi.org/10.1016/j.ijregi.2022.10.004

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