Identifying COVID-19 confirmed patients at elevated risk for mortality and need of mechanical ventilation using a novel criteria for Hyperinflammatory Syndrome: A retrospective cohort, single-center, validation study
- Author:
Jayvee Rho-An D. Descalsota
1
;
Abdul Walli R. Cana
1
;
Inofel I. Chin
2
;
Jessie F. Orcasitas
3
Author Information
- Publication Type:Journal Article
- MeSH: COVID-19; Inflammation; Mortality; Respiration, Artificial; Cytokine Release Syndrome
- From: Acta Medica Philippina 2024;58(Early Access 2024):1-12
- CountryPhilippines
- Language:English
-
Abstract:
Background and Objectives:A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation
Methods:This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.
Results:The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cut-off cHIS scores.
Conclusion:Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively. - Full text:20240710102728102129370-Article Text-163150-1-10-20240626.pdf
