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Indian J Crit Care Med
. 2021 Dec;25(12):1395-1401.
doi: 10.5005/jp-journals-10071-24048.
Clinical Characteristics and Treatment Outcomes of 293 COVID-19 Patients Admitted to the Intensive Care Unit of a Tertiary Care Hospital of Eastern India
Deependra K Rai 1 , Nishant Sahay 2 , Pallavi Lohani 3
Affiliations
- PMID: 35027800
- PMCID: PMC8693122
- DOI: 10.5005/jp-journals-10071-24048
Abstract
Objectives of the study: The objectives of the study were to assess the mortality among critically ill coronavirus disease (COVID) patients and to look at the factors which could have a bearing on mortality of these patients presenting to our designated tertiary COVID care institute.
Method: This was a retrospective observational study involving all adult patients admitted to our intensive care unit (ICU) with coronavirus disease-2019 (COVID-19) infection between June 30, 2020, and August 31, 2020. We compared patient-related factors and laboratory test results among all survivors vs nonsurvivors in our ICU with an aim to predict the factors which could predict increased risks of mortality among sick patients admitted to our ICU.
Results and conclusion: The overall ICU mortality in our ICU during the study period was 76.69% and less than 5% of the patients requiring mechanical ventilation within 1 day of admission, survived. More than half of the deaths (54.66%) occurred within 5 days of ICU admission. The best predictors for mortality based upon the Cox proportional hazard ratio are increasing age, neutrophilia, increased D-dimer, prolonged stay in ICU for 1-2 weeks, and those requiring mechanical ventilation. Patients with one or more comorbidities were noted to have 16% of higher risk of death than those without any comorbidity.
How to cite this article: Rai DK, Sahay N, Lohani P. Clinical Characteristics and Treatment Outcomes of 293 COVID-19 Patients Admitted to the Intensive Care Unit of a Tertiary Care Hospital of Eastern India. Indian J Crit Care Med 2021;25(12):1395-1401.
Keywords: Coronavirus disease-2019; Intensive care unit; Mortality; Predictors.