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Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection.

Document Type

Article

Author

Onuk, Sevda; Sipahioğlu, Hilal; Karahan, Samet; Yeşiltepe, Ali; Kuzugüden, Sibel; Karabulut, Aycan; Beştepe Dursun, Zehra; Akın, Aynur

Source

Healthcare (2227-9032); Feb2023, Vol. 11 Issue 3, p387, 12p

Subject

MORTALITY risk factors
CYTOKINES
INTENSIVE care units
COVID-19
MANN Whitney U Test
SEVERITY of illness index
RISK assessment
T-test (Statistics)
PEARSON correlation (Statistics)
GLASGOW Coma Scale
TUMOR necrosis factors
CHI-squared test
PREDICTION models
RECEIVER operating characteristic curves
BODY mass index
ODDS ratio
DATA analysis software
LONGITUDINAL method
COMORBIDITY
EVALUATION

Language

ISSN

22279032

Abstract

Copyright of Healthcare (2227-9032) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Online Access

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