Clinical characteristics and survival analysis of hospitalised COVID-19 patients in Ogun State, Nigeria

Objective: Despite the end of the pandemic, COVID-19 remains a disease of global concern. This study aimed to describe the clinical characteristics, outcomes, and survival analysis of hospitalised COVID-19 patients in Ogun State, Nigeria, with a view to providing evidence on the survival of hospitalised COVID-19 patients. Methods: The study examined the medical records of COVID-19 patients at the Olabisi Onabanjo University Teaching Hospital COVID-19 Isolation Centre in Sagamu, Ogun State, between March and December 2020. Data was analysed using SPSS version 22, with chi-square tests for association and logistic regression for mortality predictors. Kaplan-Meier curves and Log-rank tests were used for survival analysis. Results: The study involved 273 patients, with a mean age of 45.33±16.9 years. The majority were males, had symptoms (51.6%), and had SPO2 ≥ 94% (82.4%) at presentation. Most were discharged (94.1%), while 5.1% died. Over half presented with fever (55.3%) and cough (51.8%), and one-third had comorbidities. Most of those with comorbidities had hypertension (73.3%). The presence of two or more comorbid conditions (AOR 9.5, 95% CI 1.8 – 50.6; p = 0.008) and oxygen saturation less than 94% at admission (AOR 19.5, 95%CI 3.0 – 128.0; p = 0.002) were predictors of mortality. A significant difference was observed in the Kaplan-Meier curve regarding age group, symptom presence, comorbid conditions, and oxygen saturation at admission. Conclusion: The study found higher mortality rates due to co-morbidities and low oxygen saturation at admission, emphasising the need for early diagnosis, prompt referral, and management of patients with co-morbidities.

Authors

Institutions

Publication Details

Journal
Babcock University Medical Journal
Published
2026-04-01
DOI
https://doi.org/10.38029/babcockuniv.med.j..v9i1.638
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical characteristics and survival analysis of hospitalised COVID-19 patients in Ogun State, Nigeria

Olubunmi Motunrayo Fatungase, Adekunle Alabi, Boluwatife Egbetola, Festus O Soyinka et al.
Babcock University Medical Journal
COVID-19 Clinical Research Studies
article

Clinical characteristics and survival analysis of hospitalised COVID-19 patients in Ogun State, Nigeria

Olubunmi Motunrayo Fatungase, Adekunle Alabi, Boluwatife Egbetola, Festus O Soyinka, Tomi Coker, Victor Ayodeji Ayeni, Adetunji Ojo, J. Bamidele, Ebunoluwa Jaiyesimi, Tolulope Asare, Bolanle Adefuye, Abiola Gbadebo, Olusoji James Daniel, Abimbola Olaitan, Opeyemi Adeyemi
article en

Abstract

Objective: Despite the end of the pandemic, COVID-19 remains a disease of global concern. This study aimed to describe the clinical characteristics, outcomes, and survival analysis of hospitalised COVID-19 patients in Ogun State, Nigeria, with a view to providing evidence on the survival of hospitalised COVID-19 patients. Methods: The study examined the medical records of COVID-19 patients at the Olabisi Onabanjo University Teaching Hospital COVID-19 Isolation Centre in Sagamu, Ogun State, between March and December 2020. Data was analysed using SPSS version 22, with chi-square tests for association and logistic regression for mortality predictors. Kaplan-Meier curves and Log-rank tests were used for survival analysis. Results: The study involved 273 patients, with a mean age of 45.33±16.9 years. The majority were males, had symptoms (51.6%), and had SPO2 ≥ 94% (82.4%) at presentation. Most were discharged (94.1%), while 5.1% died. Over half presented with fever (55.3%) and cough (51.8%), and one-third had comorbidities. Most of those with comorbidities had hypertension (73.3%). The presence of two or more comorbid conditions (AOR 9.5, 95% CI 1.8 – 50.6; p = 0.008) and oxygen saturation less than 94% at admission (AOR 19.5, 95%CI 3.0 – 128.0; p = 0.002) were predictors of mortality. A significant difference was observed in the Kaplan-Meier curve regarding age group, symptom presence, comorbid conditions, and oxygen saturation at admission. Conclusion: The study found higher mortality rates due to co-morbidities and low oxygen saturation at admission, emphasising the need for early diagnosis, prompt referral, and management of patients with co-morbidities.

Babcock University Medical JournalVol. 9(1)
Federal University of Agriculture, Abeokuta (NG), Olabisi Onabanjo University Teaching Hospital (NG)
Good health and well-being
Openalex Percentile: Top 29%
COVID-19 Clinical Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.