The level of liver and renal function biomarker abnormalities among hospitalized COVID-19 patients in Ethiopia

This article has 1 evaluations Published on
Read the full article Related papers
This article on Sciety

Abstract

Background

COVID-19 pandemic is unprecedented public health emergency and added burden to developing countries. The pandemic cause multi organ failures (MOF) predominantly affects lung, cardiac, renal and liver organs as severity of the disease exacerbates. That is the rationale to execute this study with the aim to determine the magnitude of abnormal organ function test parameters and its association between markers of organ failure and disease severity in patients infected with COVID-19 admitted at Millennium COVID-19 Care Center (CCC).

Methods

A cross-sectional study was conducted among COVID-19 patients admitted at Millennium COVID-19 Care and Treatment Center (MCCTC) from May 2021 up to Oct 2021. In this study 500 participant’s information were collected from the laboratory database of Millennium COVID-19 care center. Data were analyzed using SPSS version 25. P-value <0.05 was considered significantly associated.

Result

The median age of the 500 study participants was 55.6±7.7 years, and from these 67.6% of patients were males. Liver function parameters Aspartae transferase (AST),) alanine aminotransferase (ALT) and Alakaline phosphatase (ALP) the mean value of overall patients were elevated and three of these parameters were highly elevated among critical patients (56.9±57.7, 58.5±6, and 114.6±6) respectively. All study participants had an elevated Creatinine. 66.8% males, 65% Intensive care unit (ICU), had an elevated serum value of ALT and AST respectively. Troponin was found elevated among males (54%) and 59% among ICU (critical) patients.

Conclusion

Liver and renal function test biomarkers such as creatine kinase muscle-brain isoenzymes (CK-MB), troponin, AST, ALT and Creatinine serum value was found elevated among ICU than non ICU patients. Organ function biomarkers are a candidate for predicting COVID-19 disease severity in order to guide clinical care.

Related articles

Related articles are currently not available for this article.