ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2022
Role of Biomarkers and Its Trend to Predict the Outcome of COVID-19 Patients: A Retrospective Study.
Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 4 citations in OpenAlex.
- Immune Cell-Based versus Albumin-Based Ratios as Outcome Predictors in Critically Ill COVID-19 Patients.Journal of inflammation research · 2025Article
- Correlation between CRP and ferritin in dengue patients: A hospital-based prospective observational study.Journal of family medicine and primary care · 2024Article
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6 authors at 1 institution in 1 country.
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Abstract
Background: Biomarkers have been extensively studied and used in the diagnosis and management of various diseases. The trend of biomarkers helps in prognosticating and managing critically ill patients. In resource-limited settings, the availability and feasibility of using these biomarkers are challenging.Our study aimed to see the trend of biomarkers and their effect on intensive care unit (ICU) mortality in coronavirus disease-2019 (COVID-19) patients. Materials and methods: A retrospective observational study was done from 1 April 2020 to 30 September 2020. The primary objective was to evaluate the trend of biomarkers in patients with COVID-19 pneumonia and their effect on ICU mortality. The secondary objectives were the duration of mechanical ventilation and length of ICU stay. Results: A total of 380 patients were included. The mean age was 54.9 (SD = 11.1) and 67% were males. The mean age, acute physiology and chronic health evaluation II (APACHE II) score was 29.54 (5.8). Among the biomarkers, total count (TC), ferritin, and procalcitonin (PCT) were higher in non-survivors than in survivors in bivariate analysis. The final multivariable logistic regression model showed age, APACHE II score, length of ICU stay, neutrophil:lymphocyte (NL) ratio, and ferritin as covariates. Among these variables, ferritin was the only biomarker [odds ratio (OR): 1.80, 95% confidence interval (CI) 1.17-2.77] with the APACHE II score (OR: 1.15, 95% CI 1.01-1.30) found to be significant. Conclusion: Ferritin was the only significant biomarker with higher values in non-survivors than in survivors. The trend of biomarkers was not found to be useful in predicting outcome of the patients. How to cite this article: Havaldar AA, Lobo V, Sushmitha EAC, Kumar VM, Raj JM, Thomas T. Role of Biomarkers and Its Trend to Predict the Outcome of COVID-19 Patients: A Retrospective Study. Indian J Crit Care Med 2022;26(9):1031-1035.
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