Factors Associated with Mortality in Covid-19 Patients Hospitalized in Conakrys CT-Epi, from 2020 to 2022

Article ID

63860

Enhancing Understanding of COVID-19-related Hospitalization and Prognosis.

Factors Associated with Mortality in Covid-19 Patients Hospitalized in Conakrys CT-Epi, from 2020 to 2022

Jean Konan Kouame
Jean Konan Kouame
Mamadou Alpha Diallo
Mamadou Alpha Diallo
Abdoulaye Sow
Abdoulaye Sow
Sadou SOW
Sadou SOW
Ibrahima Sory CHERIF
Ibrahima Sory CHERIF
Mamadou Oury BALDE
Mamadou Oury BALDE
DOI

Abstract

Introduction: The extent of morbidity and mortality linked to the Covid-19 disease in Guinea has highlighted the need for effective and efficient preparedness and response activities to break the chain of transmission of the disease. Covid-19 response activities are among the critical activities we must interrupt the chains of transmission and combat outbreaks of the disease with epidemic potential in Africa. Methodology: Our study population consisted of patients hospitalized in the CT-Epi of Conakry, aged of all ages identified in the care database. This was an analytical cross-sectional study made from the database of hospitalized people infected with Covid-19 in the CT-Epi of Conakry in Guinea in 2022. A binary logistic regression was carried out to identify the factors associated with the mortality of Covid-19 patients with comorbidity hospitalized in CT-Epi in Conakry. Results: In total, 10,404 Covid-19 patients were included in the study. Patients infected with Covid-19 in the age groups of 40-59 years, 60 years and over had a risk of death increased by 3 times respectively (OR = 2.99; 95% CI = [2.17-4.10]; p = 0.01) and 11 times (OR = 11.23; 95% CI = [8.42-14.98]; p = 0.000) more than Covid-19 infected patients in the 0-39 range years adjusting for other factors. Patients infected with Covid-19 who were hospitalized at CT-Epi in Gbessia compared to those hospitalized at the Donka National Hospital had a risk of death multiplied by18(OR=18.90;95% CI = [13.70-26.08]; p =0.000); holding the other variables constant in the model. Patients infected with Covid-19 hospitalized at the CT-Epi at Camp Alpha had a 78% lower risk of dying (OR = 0.22; 95% CI = [0.09-0.50]; p = 0.000), compared those hospitalized at the Donka National Hospital, all other things being equal. Patients suffering from Covid-19 associated with diabetes alone had a 5-fold increased risk of dying (OR =5.20; 95% CI = [2.45-11.04]; p = 0.000) compared to those who did not suffer from diabetes, maintaining the other findings in the model. Patients suffering from Covid-19 in combination with HIV alone had a 6 times increased risk of dying (OR = 6.59; 95% CI = [2.50-17.40]; p = 0.000) compared to those which there was no association, adjusting for the other variables. Patients suffering from Covid-19 and several comorbidities had a twice as high risk of dying (OR = 2.57; 95% CI = [1.66-4.4.00]; p = 0.000) compared to those which had not, adjusting for the other variables. Conclusion: During the emergencies of the Covid-19 outbreak in Guinea, the proportion of deaths due to comorbidities was 43.7%. The response to the outbreak through the dispatch of mixed teams and the management of confirmed cases and the strengthening of epidemiological surveillance has reduced the risk of transmission of the virus in the country. The factors that determine morbidity and mortality are age, CT-Epi, diabetes, HIV & several comorbidities.

Factors Associated with Mortality in Covid-19 Patients Hospitalized in Conakrys CT-Epi, from 2020 to 2022

Introduction: The extent of morbidity and mortality linked to the Covid-19 disease in Guinea has highlighted the need for effective and efficient preparedness and response activities to break the chain of transmission of the disease. Covid-19 response activities are among the critical activities we must interrupt the chains of transmission and combat outbreaks of the disease with epidemic potential in Africa. Methodology: Our study population consisted of patients hospitalized in the CT-Epi of Conakry, aged of all ages identified in the care database. This was an analytical cross-sectional study made from the database of hospitalized people infected with Covid-19 in the CT-Epi of Conakry in Guinea in 2022. A binary logistic regression was carried out to identify the factors associated with the mortality of Covid-19 patients with comorbidity hospitalized in CT-Epi in Conakry. Results: In total, 10,404 Covid-19 patients were included in the study. Patients infected with Covid-19 in the age groups of 40-59 years, 60 years and over had a risk of death increased by 3 times respectively (OR = 2.99; 95% CI = [2.17-4.10]; p = 0.01) and 11 times (OR = 11.23; 95% CI = [8.42-14.98]; p = 0.000) more than Covid-19 infected patients in the 0-39 range years adjusting for other factors. Patients infected with Covid-19 who were hospitalized at CT-Epi in Gbessia compared to those hospitalized at the Donka National Hospital had a risk of death multiplied by18(OR=18.90;95% CI = [13.70-26.08]; p =0.000); holding the other variables constant in the model. Patients infected with Covid-19 hospitalized at the CT-Epi at Camp Alpha had a 78% lower risk of dying (OR = 0.22; 95% CI = [0.09-0.50]; p = 0.000), compared those hospitalized at the Donka National Hospital, all other things being equal. Patients suffering from Covid-19 associated with diabetes alone had a 5-fold increased risk of dying (OR =5.20; 95% CI = [2.45-11.04]; p = 0.000) compared to those who did not suffer from diabetes, maintaining the other findings in the model. Patients suffering from Covid-19 in combination with HIV alone had a 6 times increased risk of dying (OR = 6.59; 95% CI = [2.50-17.40]; p = 0.000) compared to those which there was no association, adjusting for the other variables. Patients suffering from Covid-19 and several comorbidities had a twice as high risk of dying (OR = 2.57; 95% CI = [1.66-4.4.00]; p = 0.000) compared to those which had not, adjusting for the other variables. Conclusion: During the emergencies of the Covid-19 outbreak in Guinea, the proportion of deaths due to comorbidities was 43.7%. The response to the outbreak through the dispatch of mixed teams and the management of confirmed cases and the strengthening of epidemiological surveillance has reduced the risk of transmission of the virus in the country. The factors that determine morbidity and mortality are age, CT-Epi, diabetes, HIV & several comorbidities.

Jean Konan Kouame
Jean Konan Kouame
Mamadou Alpha Diallo
Mamadou Alpha Diallo
Abdoulaye Sow
Abdoulaye Sow
Sadou SOW
Sadou SOW
Ibrahima Sory CHERIF
Ibrahima Sory CHERIF
Mamadou Oury BALDE
Mamadou Oury BALDE

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Jean Konan Kouame. 2026. “. Global Journal of Medical Research – K: Interdisciplinary GJMR-K Volume 24 (GJMR Volume 24 Issue K1): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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Factors Associated with Mortality in Covid-19 Patients Hospitalized in Conakrys CT-Epi, from 2020 to 2022

Jean Konan Kouame
Jean Konan Kouame
Mamadou Alpha Diallo
Mamadou Alpha Diallo
Abdoulaye Sow
Abdoulaye Sow
Sadou SOW
Sadou SOW
Ibrahima Sory CHERIF
Ibrahima Sory CHERIF
Mamadou Oury BALDE
Mamadou Oury BALDE

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