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Published on: January 16, 2019
Could serum total cortisol level at admission predict mortality due to coronavirus disease 2019 in the intensive care
Mehmet Güven1, Hamza Gültekin2
1MD. Endocrinologist, Department of Endocrinology and Metabolism, Şırnak State Hospital, Şırnak, Turkey.
Background:
Critical diseases usually cause hypercortisolemia via activation of the hypothalamic-pituitary-adrenal axis.
Objectives:
To investigate the relationship between serum total cortisol level and mortality among coronavirus disease 2019 (COVID-19) patients in the intensive care unit (ICU), at the time of their admission.
Design And Setting:
Prospective study developed in a pandemic hospital in the city of Şırnak, Turkey.
Methods:
We compared the serum total cortisol levels of 285 patients (141 COVID-19-negative patients and 144 COVID-19-positive patients) followed up in the ICU.
Results:
The median cortisol level of COVID-19-positive patients was higher than that of COVID-19 negative patients (21.84 μg/dl versus 16.47 μg/dl; P < 0.001). In multivariate logistic regression analysis, mortality was associated with higher cortisol level (odds ratio: 1.20; 95% confidence interval: 1.08-1.35; P = 0.001). The cortisol cutoff point was 31 μg/dl (855 nmol/l) for predicting mortality among COVID-19-positive patients (area under the curve 0.932; sensitivity 59%; and specificity 95%). Among the COVID-19 positive patients with cortisol level ≤ 31 μg/dl (79%; 114 patients), the median survival was higher than among those with cortisol level > 31 μg/dl (21%; 30 patients) (32 days versus 19 days; log-rank test P < 0.001).
Conclusion:
Very high cortisol levels are associated with severe illness and increased risk of death, among COVID-19 patients in the ICU.
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