Laboratory biomarkers of COVID-19 disease severity and outcome: Findings from a developing country.

ABSTRACT:

Aim

To identify laboratory biomarkers that predict disease severity and outcome among COVID-19 patients admitted to the Millennium COVID-19 Care Center in Ethiopia.

Methods

A retrospective cohort study was conducted among 429 COVID-19 patients who were on follow up from July to October 2020. Data was described using frequency tables. Robust Poisson regression model was used to identify predictors of COVID-19 severity where adjusted relative risk (ARR), P-value and 95 CI for ARR were used to test significance. Binary Logistic regression model was used to assess the presence of statistically significant association between the explanatory variables and COVID-19 outcome where adjusted odds ratio (AOR), P-value and 95%CI for AOR were used for testing significance.

Results

SUBMITTER: Leulseged TW 

PROVIDER: S-EPMC7959358 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature