Development and validation of nomogram to predict severe illness requiring intensive care follow up in hospitalized COVID-19 cases

BACKGROUND: Early identification of severe COVID-19 patients who will need intensive care unit (ICU) follow-up and providing rapid, aggressive supportive care may reduce mortality and provide optimal use of medical resources. We aimed to develop and validate a nomogram to predict severe COVID-19 cas...

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Detalles Bibliográficos
Autores principales: Guner, Rahmet, Kayaaslan, Bircan, Hasanoglu, Imran, Aypak, Adalet, Bodur, Hurrem, Ates, Ihsan, Akinci, Esragul, Erdem, Deniz, Eser, Fatma, Izdes, Seval, Kalem, Ayse Kaya, Bastug, Aliye, Karalezli, Aysegul, Surel, Aziz Ahmet, Ayhan, Muge, Karaahmetoglu, Selma, Turan, Isıl Ozkocak, Arguder, Emine, Ozdemir, Burcu, Mutlu, Mehmet Nevzat, Bilir, Yesim Aybar, Sarıcaoglu , Elif Mukime, Gokcinar , Derya, Gunay, Sibel, Dinc, Bedia, Gemcioglu , Emin, Bilmez, Ruveyda, Aydos, Omer, Asilturk, Dilek, Inan, Osman, Buzgan, Turan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467006/
https://www.ncbi.nlm.nih.gov/pubmed/34563117
http://dx.doi.org/10.1186/s12879-021-06656-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467006/
https://www.ncbi.nlm.nih.gov/pubmed/34563117
http://dx.doi.org/10.1186/s12879-021-06656-w

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