Author(s): Adebayo , Abdullahi , Chioma
Cite this article as: Adebayo , Abdullahi , Chioma
Background: COVID-19 has presented variable clinical profiles and mortality patterns worldwide since its outbreak in 2019. Understanding the predictive factors linked to mortality can help optimize management and reduce fatal outcomes. Aim: To evaluate the clinical characteristics, laboratory parameters, comorbidities, and mortality risk factors among hospitalized COVID-19 patients. Methods: A retrospective observational study was conducted on 300 RTPCR-confirmed COVID-19 patients admitted between June 2020 and December 2021 in a tertiary care hospital. Demographics, symptoms, oxygen requirements, comorbidities, laboratory markers, treatments, ICU admission, and outcomes were analyzed. Statistical analysis was done with SPSS v25, and mortality-associated factors were identified using logistic regression. Results: Mean age was 54.3 ± 16.8 years, with 62% males. The most common symptoms were fever (82%), cough (70%), and breathlessness (56%). Comorbidities were present in 65% of patients: diabetes (38%), hypertension (34%), obesity (18%), and COPD (10%). Mortality rate was 18% (n=54). Significant predictors of mortality were age ≥60 years (p=0.003), oxygen saturation <90% on admission (p<0.001), raised CRP & D-dimer (p<0.001), lymphopenia (p=0.002), and presence of ≥2 comorbidities (p=0.001). ICU admission increased risk of death (OR 4.2). Early oxygen therapy, anticoagulation, and steroid use were associated with improved survival. Conclusion: Advanced age, hypoxia at admission, raised inflammatory markers, lymphopenia, and multiple comorbidities are strong predictors of mortality in COVID-19 patients. Early identification and aggressive management of high-risk patients can significantly reduce death rates.
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