The Predictive Factors of Mortality In COVID-19 In The Intensive Care Unit: A Retrospective Study From Universitas Airlangga Hospital Surabaya
DOI:
https://doi.org/10.36497/jri.v45i2.830Keywords:
COVID-19, ICU, mortality, outcome, predictiveAbstract
Background: Coronavirus disease 2019 (COVID-19) poses a significant global challenge due to its highly transmissible nature and many positive cases and deaths. Myriad factors are known to affect the outcome of COVID-19 patients. Therefore, identifying predictive factors is essential for developing strategies to reduce mortality.
Methods: An analytical observational retrospective study was conducted at Universitas Airlangga Hospital Surabaya from January to June 2021. A total of consecutive sampling was performed on all patients in the intensive care unit. Thirty-one variables were included and analysed using a two-step statistical analysis: univariate and multivariate logistic regression.
Results: The mortality rate among 116 patients was 61.2%. The univariate analysis showed that dyspnoea, hypoxia, hyperglycaemia, and fever at admission were positively correlated with mortality. The multivariate analysis showed that fever (adjusted odds ratio [OR]=5) and hyperglycaemia (adjusted OR=8) at admission were independent predictors of mortality.
Conclusion: Patients with hyperglycaemia or fever at admission face an increased likelihood of dying from COVID-19, with risks elevated by eight times and five times, respectively.
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