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

Abstract 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 COVI...

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Автори: Rahmet Guner, Bircan Kayaaslan, Imran Hasanoglu, Adalet Aypak, Hurrem Bodur, Ihsan Ates, Esragul Akinci, Deniz Erdem, Fatma Eser, Seval Izdes, Ayse Kaya Kalem, Aliye Bastug, Aysegul Karalezli, Aziz Ahmet Surel, Muge Ayhan, Selma Karaahmetoglu, Isıl Ozkocak Turan, Emine Arguder, Burcu Ozdemir, Mehmet Nevzat Mutlu, Yesim Aybar Bilir, Elif Mukime Sarıcaoglu, Derya Gokcinar, Sibel Gunay, Bedia Dinc, Emin Gemcioglu, Ruveyda Bilmez, Omer Aydos, Dilek Asilturk, Osman Inan, Turan Buzgan
Формат: Artigo
Мова:Inglês
Опубліковано: BMC 2021-09-01
Серія:BMC Infectious Diseases
Предмети:
COVID-19
Nomogram
Severity Score
Predictive Factors
Intensive Care
Онлайн доступ:https://doi.org/10.1186/s12879-021-06656-w
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