Determinants of mortality among hospitalized patients with COVID-19 during first and second waves of the pandemic: A retrospective cohort study from an isolation center in Kano, Nigeria.
PLoS One
; 18(2): e0281455, 2023.
Article
in English
| MEDLINE | ID: covidwho-2229325
ABSTRACT
BACKGROUND:
Coronavirus disease 2019 (COVID-19) has emerged as an important cause of morbidity and mortality worldwide. The aim of this study is to identify the clinical predictors of mortality among patients with COVID-19 pneumonia during first and second waves in a treatment center in northwestern Nigeria.METHODS:
This was a retrospective cohort study of 195 patients hospitalized with COVID-19 between April 2020 to March 2021 at a designated COVID-19 isolation center in Kano State, Northwest Nigeria. Data were summarized using frequencies and percentages. Unadjusted odds ratios and 95% confidence intervals and p-values were obtained. To determine independent determinants of mortality, we performed a stepwise multivariate logistic regression model.RESULTS:
Of 195 patients studied, 21(10.77%) patients died. Males comprised 158 (81.03%) of the study population. In the adjusted stepwise logistic regression analysis, age>64 years (OR = 9.476, 95% CI 2.181-41.165), second wave of the pandemic (OR = 49.340, 95% CI6.222-391.247), cardiac complications (OR = 24.984, 95% CI 3.618-172.508), hypertension (OR = 5.831, 95% CI1.413-24.065) and lowest systolic blood pressure while on admission greater than or equal to 90mmHg were independent predictors of mortality (OR = 0.111, 95%CI 0.021-0.581).CONCLUSION:
Strategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Cohort study
/
Observational study
/
Prognostic study
Limits:
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Africa
Language:
English
Journal:
PLoS One
Journal subject:
Science
/
Medicine
Year:
2023
Document Type:
Article
Affiliation country:
Journal.pone.0281455
Similar
MEDLINE
...
LILACS
LIS