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Onyando BO, Nyawanda BO, Onguru D, Haidara FC, Okello C, Anyango RO, Orege IK, Ogolla S, Ogwel B, Awuor AO, Kadivane S, Ngere P, Nasimiyu C, Osoro E, Njenga MK, Akelo V, Otedo A, Lidechi S, Ochieng JB, Otieno NA, Muok EMO, Sergon K, Worwui AK, Weldegebriel GG, Bergeri I, Sandra C, Gurry C, Nuorti JP, Amoth P, Jalang'o R, Mwenda JM, Omore R, Sow SO. Factors associated with mortality among patients aged 12 years and above requiring hospitalization for severe respiratory illness (SRI): Findings from the COVID-19 vaccine effectiveness evaluation in Kenya and Mali, 2022-2023. Vaccine 2025:126910. [PMID: 40024835 DOI: 10.1016/j.vaccine.2025.126910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Revised: 02/16/2025] [Accepted: 02/17/2025] [Indexed: 03/04/2025]
Abstract
BACKGROUND Mortality attributed to respiratory illnesses is well characterized in children <5 years. However, there is paucity of data among older populations. Here, we leveraged data from the COVID-19 Vaccine Effectiveness Evaluation to establish the factors associated with mortality among patients with severe respiratory illness (SRI) in Kenya and Mali. METHODS We enrolled patients (≥ 12 years) requiring hospitalization for SRI, defined as acute onset (≤ 14 days) of at least two of the following: cough, fever (reported/measured temperature of ≥38 °C), chills, rigors, myalgia, headache, sore throat, fatigue, congestion or runny nose, loss of taste or smell, or pneumonia diagnosis, from referral hospitals in Kenya and Mali. We collected demographic, clinical characteristics of the patients, and nasopharyngeal and oropharyngeal specimens for SARS-CoV-2 testing using RT-PCR. A mixed-effects logistic regression model was fitted to identify factors associated with 30-day mortality among patients with SRI. RESULTS Between July 2022 and October 2023 9947 SRI patients were enrolled, of whom 9743 were included in this analysis and 1620 (16.6 %) died (Kenya: 1533/7822 [20.0 %]; Mali: 87/1921 [4.5 %]). Compared to patients aged 12-24 years, those aged >64 years were more likely to die (adjusted Odds Ratio [aOR] = 2.36; 95 % Confidence Interval [95 % CI] 1.72-3.24). Patients who were in coma (aOR = 3.45; 95 %CI 2.27-5.24) or Intensive Care Unit (aOR = 2.98; 95 %CI 2.06-4.31), or had HIV infection (aOR = 2.47; 95 %CI 2.11-2.90), liver disease (aOR = 2.42; 95 %CI 1.57-3.74), cancer (aOR = 2.09; 95 %CI 1.46-2.99) or SARS-CoV-2 infected (aOR = 1.24; 95 %CI 1.02-1.52) were at increased risk of death. Additionally, diarrhea, malaise/fatigue, difficulty in breathing, confusion, mechanical ventilation, vasopressor support, malnutrition and admission to High Dependency Unit had significant associations. CONCLUSION Mortality was heightened among SRI patients who were older, required critical care, had chronic conditions and infected with SARS-CoV-2 suggesting need for early identification of these conditions to improve possible treatment outcomes.
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Affiliation(s)
- Brian O Onyando
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya; Jaramogi Oginga Odinga University of Science and Technology, School of Health Sciences, Kenya.
| | - Bryan O Nyawanda
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Daniel Onguru
- Jaramogi Oginga Odinga University of Science and Technology, School of Health Sciences, Kenya
| | - Fadima C Haidara
- Centre pour le Développement des Vaccins du Mali (CVD-Mali), Bamako, Mali
| | - Collins Okello
- Centre pour le Développement des Vaccins du Mali (CVD-Mali), Bamako, Mali
| | - Raphael O Anyango
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Ian K Orege
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Sidney Ogolla
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Billy Ogwel
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Alex O Awuor
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Samuel Kadivane
- Disease Surveillance Unit, Ministry of Health, Nairobi, Kenya
| | - Philip Ngere
- Washington State University Global Health Kenya, Nairobi, Kenya
| | | | - Eric Osoro
- Washington State University Global Health Kenya, Nairobi, Kenya; Paul G. Allen School for Global Health, Washington State University, Pullman, USA
| | - M Kariuki Njenga
- Paul G. Allen School for Global Health, Washington State University, Pullman, USA
| | - Victor Akelo
- Department of Clinical Medicine, Liverpool School of Tropical Medicine, Kisumu, Kenya
| | - Amos Otedo
- Department of Health, Kisumu County, Kenya
| | - Shirley Lidechi
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - John B Ochieng
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Nancy A Otieno
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Erick M O Muok
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | | | - Archibald Kwame Worwui
- World Health Organization (WHO) Regional Office for Africa, Brazzaville, the Democratic Republic of the Congo
| | - Goitom G Weldegebriel
- World Health Organization (WHO) Regional Office for Africa, Brazzaville, the Democratic Republic of the Congo
| | - Isabel Bergeri
- World Health Organization (WHO) Regional Office for Africa, Brazzaville, the Democratic Republic of the Congo
| | - Cohuet Sandra
- World Health Organization (WHO) Regional Office for Africa, Brazzaville, the Democratic Republic of the Congo
| | - Celine Gurry
- World Health Organization (WHO) Regional Office for Africa, Brazzaville, the Democratic Republic of the Congo
| | - J Pekka Nuorti
- Health Sciences Unit, Faculty of Social Sciences, Tampere University, Tampere, Finland; Infectious Disease Control and Prevention Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | | | - Rose Jalang'o
- National Vaccines and Immunization Programme, Ministry of Health, Nairobi, Kenya
| | - Jason M Mwenda
- World Health Organization (WHO) Regional Office for Africa, Brazzaville, the Democratic Republic of the Congo
| | - Richard Omore
- Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Samba O Sow
- Centre pour le Développement des Vaccins du Mali (CVD-Mali), Bamako, Mali.
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Midon MB, Ngatu NR, Kanda K, Hirao T, Miyatake N, Wada K, Nishiyama A. Association between excess mortality due to COVID-19, full vaccination coverage, smoking, hypertension, and gross domestic product per capita/purchasing power parity across 10 Southeast Asian Countries. IJID REGIONS 2025; 14:100570. [PMID: 39967743 PMCID: PMC11833341 DOI: 10.1016/j.ijregi.2025.100570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 01/10/2025] [Accepted: 01/14/2025] [Indexed: 02/20/2025]
Abstract
Objectives Mass vaccination and cardiometabolic disorders have been reported to influence COVID-19 prognosis and mortality burden. We applied a generalized linear mixed model (GLMM) to explore the associations between COVID-19 mortality, full vaccination coverage, and cardiometabolic health indicators in Southeast Asia (SEAR). Methods A region-wide ecological analysis of aggregate COVID-19 data from 10 SEAR countries (January 2020 to December 2022) was performed. The databases used were from the John Hopkins University Coronavirus Resource Center and the WHO Health Organization. Excess deaths associated with COVID-19 per 100,000 and case fatality rate were the outcome variables. A GLMM was performed to determine the predictors of COVID-19 mortality, and adjustments were made for sociodemographic variables. The statistical significance level was set at P <0.01 (double-sided). Results The adjusted GLMM analysis showed that the number of excess deaths due to COVID-19 per 100,000 was strongly and positively associated with age-standardized smoking (coefficient of determination [coeff.] = 9.18 [standard error (SE): 2.15]; P <0.001) and hypertension prevalence (coeff. = 25.98 [SE: 9.15]; P <0.01), whereas it was strongly and negatively associated with the full vaccination coverage rate (coeff. = -5.23 [SE: 1.54]; P <0.01) and gross domestic product per capita/purchasing power parity (coeff. = -102.01 [SE: 18.31]; P <0.001). The COVID-19 case fatality rate was positively associated with the age-standardized prevalence of hypertension (coeff. = 0.30 [SE: 0.16]; P <0.01) and negatively correlated with the full vaccination coverage rate (coeff. = -0.05 [SE: 0.01]; P <0.01) and gross domestic product per capita/purchasing power parity (coeff. = -1.09 (SE: 0.34); p<0.001). The associations observed in the multivariate analysis remained in the stratified analysis by quartile. Conclusions The study findings suggest that implementing effective public health interventions that would have increased vaccine uptake and improve cardiometabolic health on one hand and initiatives that enhance country-level economy on the other hand would have reduced COVID-19 mortality in the SEAR.
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Affiliation(s)
| | - Nlandu Roger Ngatu
- Department of Public Health, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Kanae Kanda
- Department of Public Health, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Tomohiro Hirao
- Department of Public Health, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Nobuyuki Miyatake
- Department of Hygiene, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Kenji Wada
- Department of Chemistry for Medicine, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Akira Nishiyama
- Department of Medical Pharmacology, Kagawa University Faculty of Medicine, Kagawa, Japan
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3
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Haruzivishe C, Midzi N, Matanhire T, Sembuche S, Mutsaka-Makuvaza MJ, Ayebare RR, Nakasendwa S, Mbabazi L, Muwonge T, Mateta C, Chaibva CN, Gwatiringa C, Haruzivishe KEM, Phiri I, Shaweno T, Dereje N, Raji T, Fallah MP, Dobbie M. Real-world COVID-19 vaccine effectiveness in Zimbabwe: A test-negative case-control study. J Public Health Afr 2025; 16:695. [PMID: 40083466 PMCID: PMC11905188 DOI: 10.4102/jphia.v16i1.695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 11/28/2024] [Indexed: 03/16/2025] Open
Abstract
Background COVID-19 vaccination is critical in sub-Saharan Africa to reduce the disease burden. This study assessed real-world vaccine effectiveness (VE) in Zimbabwe. Aim To determine COVID-19 VE and factors associated with disease severity and mortality in Zimbabwe. Setting The study setting comprised a test-negative case-control study across health facilities in Harare and Bulawayo (May 2023 - August 2023). Methods Adults (≥ 18 years) were recruited from COVID-19 registers (1:1 case-control; matched by sex, age and clinic visit date). Telephone interviews assessed vaccination status, disease severity (cases) and comorbidities. Conditional logistic regression estimated VE (1 - odds ratio*100), with stratification by age and comorbidities. Ordinal and simple logistic regression analysed factors associated with disease severity and vaccination-variant relationships. Results Overall vaccination coverage was 38% (fully vaccinated including boosters), with 62% unvaccinated. The median age was 38 years (interquartile range [IQR]: 30-50) with more females (n = 352). Overall VE against any COVID-19 infection was 32.2% (95% CI: 8.9, 49.5). Older age (45+ years) and chronic conditions were associated with increased hospitalisation risk. Among cases, hospitalisation rate was 34.8% (n = 174/500) and COVID-19-related mortality rate was 11.6% (n = 58/500). Conclusion This study found a moderate VE of COVID-19 vaccines in Zimbabwe, potentially influenced by age, comorbidities and variants. We highlight the need for targeted vaccination strategies and public health measures informed by these findings. Contribution This research informs public health strategies to optimise vaccination efforts and improve health outcomes across Africa, aligning with the journal's focus on public health issues.
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Affiliation(s)
- Clara Haruzivishe
- Department of Nursing Science, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe
- Africa Forum for Research and Education in Health (AFREhealth), Harare, Zimbabwe
| | - Nicholas Midzi
- National Institute of Health Research, Ministry of Health and Childcare, Harare, Zimbabwe
| | | | - Senga Sembuche
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | | | | | - Suzan Nakasendwa
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Leah Mbabazi
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Tonny Muwonge
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Carl Mateta
- National Institute of Health Research, Ministry of Health and Childcare, Harare, Zimbabwe
| | | | | | | | - Isaac Phiri
- Department of Epidemiology and Disease Control, Ministry of Health and Child Care, Harare, Zimbabwe
| | - Tamrat Shaweno
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Nebiyu Dereje
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Tajudeen Raji
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Mosoka P. Fallah
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Munyaradzi Dobbie
- Public Health Division, Ministry of Health and Child Care, Harare, Zimbabwe
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Sambani C, Muwonge T, Chinyamunyamu L, Dembo A, Fallah MP, Chikwapulo V, Thomas M, Gondwe C, Mankhamba R, Mbabazi L, Nakasendwa S, Ayebare RR, Mitambo C, Kagoli M, Kambalame D, Seven C, Mwale T, Mandala E, Kazembe A, Kalua M, Sembuche S, Gonese E, Shaweno T, Dereje N, Banda EC, Raji T, Matoga M. COVID-19 vaccine uptake, barriers and associated factors among healthcare workers in Malawi. J Public Health Afr 2025; 16:676. [PMID: 40083461 PMCID: PMC11905167 DOI: 10.4102/jphia.v16i1.676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 11/13/2024] [Indexed: 03/16/2025] Open
Abstract
Background The COVID-19 pandemic led to an urgent need for a global vaccine. Despite being a priority group, the vaccine uptake among healthcare workers (HCWs) remains low. Aim This article assessed the COVID-19 vaccine uptake and its associated barriers in Malawi. Setting A cross-sectional study was conducted among HCWs in Malawi's Blantyre, Lilongwe and Mzuzu districts from 11 April 2023 to 14 April 2023. Methods Proportionally distributed among various cadres, 200 participants were randomly selected. A structured questionnaire was administered, assessing HCWs' uptake, willingness, attitudes and barriers to COVID-19 vaccines. Data were managed in REDCap and analysed using STATA version 14. Frequencies and percentages were computed. Variables with p-value ≤ 0.25 were included in the multivariable modified passion model. Results A total of 175 (88%) participants received a single-dose vaccine, while only 11.5% received a booster. Vaccine uptake was associated with age groups 25-34 years (aPR = 2.35, 95% CI: 1.21, 4.60) and 35-44 years (aPR = 2.30, 95% CI: 1.18, 4.50), being a nurse/midwife (aPR = 0.86, CI: 0.74, 0.99) and laboratory personnel (aPR = 0.86, 95% CI: 0.74, 0.99). Unvaccinated HCWs were concerned about vaccine side effects and lacked trust in the development process. Conclusion Issues of vaccine safety, side effects and lack of trust in the vaccine should be addressed. Promoting awareness of vaccine development and benefits, targeting all age groups and cadres, is required among HCWs. Contribution The findings can be utilised to develop specific interventions on age and cadre to promote vaccine acceptance among HCWs, in countries with similar contextual settings to Malawi.
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Affiliation(s)
| | - Tonny Muwonge
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | | | - Amon Dembo
- Kamuzu Central Hospital, Lilongwe, Malawi
| | | | | | | | | | | | - Leah Mbabazi
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Suzan Nakasendwa
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | | | | | | | | | | | - Tadala Mwale
- Public Health Institute of Malawi, Lilongwe, Malawi
| | - Edna Mandala
- Kamuzu University of Health Sciences, Blantyre, Malawi
| | | | - McWilliam Kalua
- Malawi Ministry of Health Extended Program of Immunization, Lilongwe, Malawi
| | - Senga Sembuche
- Africa Centers for Disease Control and Prevention, United Republic of Tanzania
| | | | - Tamrat Shaweno
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Nebiyu Dereje
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | | | - Tajudeen Raji
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Mitch Matoga
- University of North Carolina Project, Charlotte, United States of America
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5
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Bruyneel A, Dauvergne JE, Dauby N, Goffard JC, Rea A, Racape J. Social health gradient and risk factors among patients hospitalized for COVID-19 and pre-pandemic respiratory infections. A linked national individual case-control study in Belgium. Front Public Health 2024; 12:1426898. [PMID: 39529714 PMCID: PMC11551126 DOI: 10.3389/fpubh.2024.1426898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
Introduction The literature establishes a clear social gradient in health for transmissible respiratory diseases. However, this gradient's extent remains largely unexplored in the context of COVID-19, and it is uncertain whether the pandemic has exacerbated this gradient. The study aims to compare the socio-economic profiles and comorbidities during the COVID-19 pandemic with a control population affected by viral pneumonia/respiratory disease in 2019. Methods This case-control study analyzed linked data from all patients hospitalized for COVID-19 in 2020 (n = 22,087) and for respiratory diseases in 2019 (n = 7,586). Socio-economic data from the social security database were linked to clinical data from the hospital registry. We analyzed the socio-demographic and clinical factors associated with COVID-19 hospitalization (control group, wave 1, and wave 2) using multinomial regressions and logistic regression models and the length of stay during hospitalization using binomial negative regressions. Results A social health gradient was observed in both the COVID-19 and control groups, with a significant increase across waves for COVID-19 (p-trend < 0.0001). Men, people over the age of 45, those with comorbidities, high population density, lower income, lower socio-economic status, and people living in Brussels capital were at higher risk of COVID-19 hospitalization and longer length of stay compared to the control group. Except for sub-Saharan Africans, all patients of foreign nationality had a significantly increased risk of hospitalization (p < 0.001), but a shorter length of stay compared to Belgians. Conclusion The socio-health gradient for COVID-19 followed the same pattern as that observed in pre-pandemic respiratory diseases, intensifying in the second wave and among the most deprived groups. This study emphasizes the importance of collecting social data alongside clinical data for a better understanding of social health inequalities and for tailoring health prevention policies.
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Affiliation(s)
- Arnaud Bruyneel
- Hospital Management and Nursing Research Department, Research Center in Health Economics, School of Public Health, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jérôme E. Dauvergne
- Department of Anaesthesiology and Critical Care, CHU Nantes, Laënnec Hospital, Nantes Université, Nantes, France
| | - Nicolas Dauby
- Department of Infectious Diseases, Centre Hospitalier Universitaire (CHU) Saint-Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Research Center in Environmental Health, School of Public Health, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jean-Christophe Goffard
- Department of Internal Medicine, Erasmus Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Andrea Rea
- Group for Research on Ethnic Relations, Migrations and Equality, Faculty of Philosophy and Social Sciences, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Judith Racape
- Chair in Health and Precarity, Faculty of Medicine, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Research Center in Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles (ULB), Brussels, Belgium
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Liu TH, Wu JY, Huang PY, Hsu WH, Chuang MH, Tsai YW, Lai CC, Huang CLC. Clinical effectiveness of nirmatrelvir plus ritonavir for patients with COVID-19 and preexisting psychiatric disorders. Expert Rev Anti Infect Ther 2024; 22:885-893. [PMID: 38703086 DOI: 10.1080/14787210.2024.2351555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/16/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES This study assessed the clinical effectiveness of the combination of nirmatrelvir and ritonavir (NMV-r) in treating nonhospitalized patients with COVID-19 who have preexisting psychiatric disorders. METHODS Patients diagnosed with COVID-19 and psychiatric disorders between 1 March 2020, and 1 December 2022, were included using the TriNetX network. The primary outcome was the composite outcome of all-cause emergency department (ED) visits, hospitalization, or death within 30 days. RESULTS Propensity score matching yielded two cohorts of 20,633 patients each. The composite outcome of all-cause ED visits, hospitalization, or death within 30 days was 3.57% (737 patients) in the NMV-r cohort and 5.69% (1176) in the control cohort, resulting in a reduced risk in the NMV-r cohort (HR: 0.657; 95% confidence interval (CI): 0.599-0.720). The NMV-r cohort exhibited a lower risk of all-cause hospitalization (HR: 0.385; 95% CI: 0.328-0.451) and all-cause death (HR: 0.110; 95% CI: 0.053-0.228) compared with the control group. CONCLUSION NMV-r could mitigate the risk of adverse outcomes in nonhospitalized patients with COVID-19 and preexisting psychiatric disorders. However, only a limited number of patients in this population received adequate treatment, thus emphasizing the importance of promoting its appropriate use.
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Affiliation(s)
- Ting-Hui Liu
- Department of Psychiatry, Chi Mei Medical Center, Tainan, Taiwan
| | - Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan
| | - Po-Yu Huang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Wan-Hsuan Hsu
- Department of Psychiatry, Chi Mei Medical Center, Tainan, Taiwan
| | - Min-Hsiang Chuang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Ya-Wen Tsai
- Center for Integrative Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Chih-Cheng Lai
- Division of Hospital Medicine, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Charles Lung-Cheng Huang
- Department of Psychiatry, Chi Mei Medical Center, Tainan, Taiwan
- Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, Taiwan
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7
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Anteneh AB, LeBlanc M, Natnael AA, Asfaw ZG. Survival of hospitalised COVID-19 patients in Hawassa, Ethiopia: a cohort study. BMC Infect Dis 2024; 24:1055. [PMID: 39333929 PMCID: PMC11429985 DOI: 10.1186/s12879-024-09905-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 09/09/2024] [Indexed: 09/30/2024] Open
Abstract
The COVID-19 pandemic, caused by SARS-CoV-2, led to 622,119,701 reported cases and 6,546,118 deaths. Most studies on COVID-19 patients in hospitals are from high-income countries, lacking data for developing countries such as Ethiopia.This study assesses clinical features, demographics, and risk factors for in-hospital mortality in Hawassa, Ethiopia. The research cohort comprises 804 cases exhibiting clinical diagnoses and/or radiological findings and indicative of symptoms consistent with COVID-19 at Hawassa University Comprehensive Specialized Hospital from September 24, 2020, to November 26, 2021. In-hospital mortality rate was predicted using Cox regression. The median age was 45 years, with males making up 64.1% of the population. 173 (21.5%) fatalities occurred, with 125 (72.3%) among males. Male patients had higher mortality rates than females. Severe and critical cases were 24% and 21%. 49.1% had at least one comorbidity, with 12.6% having multiple. Common comorbidities were diabetes (15.9%) and hypertension (15.2%). The Cox regression in Ethiopian COVID-19 patients found that factors like gender, advanced age group, disease severity, symptoms upon admission, shortness of breath, sore throat, body weakness, hypertension, diabetes, multiple comorbidities, and prior health facility visits increased the risk of COVID-19 death, similar to high-income nations. However, in Ethiopia, COVID-19 patients were young and economically active. Patients with at least one symptom had reduced death risk. As a conclusion, COVID-19 in Ethiopia mainly affected the younger demographic, particularly economically active individuals. Early detection can reduce the risk of mortality. Prompt medical attention is essential, especially for individuals with comorbidities. Further research needed on diabetes and hypertension management to reduce mortality risk. Risk factors identified at admission play a crucial role in guiding clinical decisions for intensive monitoring and treatment. Broader risk indicators help prioritize patients for allocation of hospital resources, especially in regions with limited medical facilities. Government's focus on timely testing and strict adherence to regulations crucial for reducing economic impact.
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Affiliation(s)
- Ali B Anteneh
- Department of Statistics, Hawassa University, Hawassa, Ethiopia.
| | - Marissa LeBlanc
- Oslo Center for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
- Norwegian Institute of Public Health, NIPH, Oslo, Norway
| | - Abebe A Natnael
- Hawassa University Comprehensive Specialized Hospital, Hawassa, Ethiopia
| | - Zeytu Gashaw Asfaw
- Department of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
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8
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Abera EG, Tukeni KN, Chala TK, Yilma D, Gudina EK. Clinical profiles and mortality predictors of hospitalized patients with COVID-19 in Ethiopia. BMC Infect Dis 2024; 24:908. [PMID: 39223493 PMCID: PMC11370003 DOI: 10.1186/s12879-024-09836-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Studying the characteristics of hospitalized Coronavirus Disease 2019 (COVID-19) patients is vital for understanding the disease and preparing for future outbreaks. The aim of this study was to analyze and describe the clinical profiles and factors associated with mortality among COVID-19 patients admitted to Jimma Medical Center COVID-19 Treatment Center (JMC CTC) in Ethiopia. METHODS All confirmed COVID-19 patients admitted to JMC CTC between 17 April 2020 and 05 March 2022 were included in this study. Socio-demographic data, clinical information, and outcome variables were collected retrospectively from medical records and COVID-19 database at the hospital. Bivariable and multivariable analyses were performed to determine factors associated with COVID-19 severity and mortality. A P-value < 0.05 was considered statistically significant. RESULTS A total of 542 confirmed COVID-19 patients were admitted to JMC CTC, of which 322 (59.4%) were male. Their median age was 48 years (IQR 32-64). About 51% (n = 277) of them had severe COVID-19 upon admission. Patients with hypertension [AOR: 2.8 (95% CI: 1.02-7.7, p = 0.046)], diabetes [AOR: 8.8 (95% CI: 1.2-17.3, p = 0.039)], and underlying respiratory diseases [AOR: 18.8 (95% CI: 2.06-71.51, p = 0.009)] were more likely to present with severe COVID-19 cases. Overall, 129 (23.8%) died in the hospital. Death rate was higher among patients admitted with severe disease [AHR = 5.5 (3.07-9.9) p < 0.001)] and those with comorbidities such as hypertension [AHR = 3.5 (2.28-5.41), p < 0.001], underlying respiratory disease [AHR = 3.4 (1.97-5.94), p < 0.001], cardiovascular disease (CVDs) [AHR = 2.8 (1.73-4.55), p < 0.001], and kidney diseases [AHR = 3.7 (2.3-5.96), p < 0.001]. CONCLUSION About half of COVID-19 cases admitted to the hospital had severe disease upon admission. Comorbidities such as hypertension, diabetes, and respiratory diseases were linked to severe illness. COVID-19 admissions were associated with high inpatient mortality, particularly among those with severe disease and comorbidities.
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Affiliation(s)
- Eyob Girma Abera
- Department of Public Health, Jimma University, P.O.Box 378, Jimma, Oromia, Ethiopia.
- Clinical Trial Unit, Jimma University, Oromia, Ethiopia.
| | - Kedir Negesso Tukeni
- Department of Internal Medicine, Jimma University, Jimma, Oromia, Ethiopia
- Center Hospitalier Saint-Joseph Saint-Luc, Lyon, France
| | - Temesgen Kabeta Chala
- Department of Health Policy and Management, Jimma University, Jimma, Oromia, Ethiopia
| | - Daniel Yilma
- Clinical Trial Unit, Jimma University, Oromia, Ethiopia
- Department of Internal Medicine, Jimma University, Jimma, Oromia, Ethiopia
| | - Esayas Kebede Gudina
- Clinical Trial Unit, Jimma University, Oromia, Ethiopia
- Department of Internal Medicine, Jimma University, Jimma, Oromia, Ethiopia
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9
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van der Mescht MA, de Beer Z, Steel HC, Anderson R, Masenge A, Moore PL, Bastard P, Casanova JL, Abdullah F, Ueckermann V, Rossouw TM. Aberrant innate immune profile associated with COVID-19 mortality in Pretoria, South Africa. Clin Immunol 2024; 266:110323. [PMID: 39029640 DOI: 10.1016/j.clim.2024.110323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
The African continent reported the least number of COVID-19 cases and deaths of all the continents, although the exact reasons for this are still unclear. In addition, little is known about the immunological profiles associated with COVID-19 mortality in Africa. The present study compared clinical and immunological parameters, as well as treatment outcomes in patients admitted with COVID-19 in Pretoria, South Africa, to determine if these parameters correlated with mortality in this population. The in-hospital mortality rate for the cohort was 15.79%. The mortality rate in people living with HIV (PLWH) was 10.81% and 17.16% in people without HIV (p = 0.395). No differences in age (p = 0.099), gender (p = 0.127) or comorbidities were found between deceased patients and those who survived. All four of the PLWH who died had a CD4+ T-cell count <200 cells/mm3, a significantly higher HIV viral load than those who survived (p = 0.009), and none were receiving antiretroviral therapy. Seven of 174 (4%) patients had evidence of auto-antibodies neutralizing Type 1 interferons (IFNs). Two of the them died, and their presence was significantly associated with mortality (p = 0.042). In the adjusted model, the only clinical parameters associated with mortality were: higher fraction of inspired oxygen (FiO2) (OR: 3.308, p = 0.011) indicating a greater need for oxygen, high creatinine (OR: 4.424, p = 0.001) and lower platelet counts (OR: 0.203, p = 0.009), possibly secondary to immunothrombosis. Overall, expression of the co-receptor CD86 (p = 0.021) on monocytes and percentages of CD8+ effector memory 2 T-cells (OR: 0.45, p = 0.027) was lower in deceased patients. Decreased CD86 expression impairs the development and survival of effector memory T-cells. Deceased patients had higher concentrations of RANTES (p = 0.003), eotaxin (p = 0.003) and interleukin (IL)-8 (p < 0.001), all involved in the activation and recruitment of innate immune cells. They also had lower concentrations of transforming growth factor (TGF)-β1 (p = 0.40), indicating an impaired anti-inflammatory response. The immunological profile associated with COVID-19 mortality in South Africa points to the role of aberrate innate immune responses.
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Affiliation(s)
- Mieke A van der Mescht
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Zelda de Beer
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa; Tshwane District Hospital, Pretoria, South Africa
| | - Helen C Steel
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Ronald Anderson
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Andries Masenge
- Department of Statistics, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa
| | - Penny L Moore
- MRC Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa; National Institute for Communicable Diseases of the National Health Laboratory Services, Johannesburg, South Africa; Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
| | - Paul Bastard
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, New York, NY, USA; Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France; Paris Cité University, Imagine Institute, Paris, France; Pediatric Hematology-Immunology and Rheumatology Unit, Necker Hospital for Sick Children, Assistante Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, New York, NY, USA; Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France; Paris Cité University, Imagine Institute, Paris, France; Pediatric Hematology-Immunology and Rheumatology Unit, Necker Hospital for Sick Children, Assistante Publique-Hôpitaux de Paris (AP-HP), Paris, France; Howard Hughes Medical Institute, New York, NY, USA
| | - Fareed Abdullah
- Division for Infectious Diseases, Department of Internal Medicine, Steve Biko Academic Hospital and University of Pretoria, Pretoria, South Africa; Office of AIDS and TB Research, South African Medical Research Council, Pretoria, South Africa; Department of Public Health Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Veronica Ueckermann
- Division for Infectious Diseases, Department of Internal Medicine, Steve Biko Academic Hospital and University of Pretoria, Pretoria, South Africa
| | - Theresa M Rossouw
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
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Wondmeneh TG, Mohammed JA. COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis. Front Med (Lausanne) 2024; 11:1327746. [PMID: 38476444 PMCID: PMC10928001 DOI: 10.3389/fmed.2024.1327746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/12/2024] [Indexed: 03/14/2024] Open
Abstract
Background The COVID-19 mortality rate continues to be high in low-income countries like Ethiopia as the new variant's transmission expands and the countries' limited capacity to combat the disease causes severe outcomes, including deaths. The aim of this study is to determine the magnitude of the COVID-19 mortality rate and its determinants in Ethiopia. Methods The main electronic databases searched were PubMed, CINAHL, Google Scholar, and African journals online. The included studies' qualities were assessed independently using the Newcastle-Ottawa scale. The data was extracted in Microsoft Excel spreadsheet format. The pooled effect size and odds ratios with 95% confidence intervals across studies were determined using the random-effects model. I2 is used to estimate the percentage of overall variation across studies due to heterogeneity. Egger's test and funnel plot were used to find the published bias. A subgroup analysis was conducted. The effect of a single study on the overall estimation was determined by sensitivity analysis. Results A total of 21 studies with 42,307 study participants were included in the final analysis. The pooled prevalence of COVID-19 mortality was 14.44% (95% CI: 10.35-19.08%), with high significant heterogeneity (I2 = 98.92%, p < 0.001). The risk of mortality from COVID-19 disease was higher for patients with comorbidity (AHR = 1.84, 95% CI: 1.13-2.54) and cardiovascular disease (AHR = 2, 95% CI: 1.09-2.99) than their counterparts without these conditions. Conclusion A significant number of COVID-19 patients died in Ethiopia. COVID-19 patients with comorbidities, particularly those with cardiovascular disease, should receive special attention to reduce COVID-19 mortality. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, registration identifier (ID) CRD42020165740.
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11
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Wu JY, Liu MY, Liu TH, Chuang MH, Hsu WH, Huang PY, Tsai YW, Lai CC. Association between nirmatrelvir plus ritonavir and the outcomes of non-hospitalized obese patients with COVID-19. Int J Antimicrob Agents 2023; 62:106984. [PMID: 37769748 DOI: 10.1016/j.ijantimicag.2023.106984] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 08/26/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE To investigate the association between nirmatrelvir plus ritonavir (NMV-r) and the outcomes of non-hospitalized obese patients with coronavirus disease 2019 (COVID-19). METHODS This retrospective cohort study used the TriNetX research network to identify non-hospitalized obese adult patients with COVID-19 between 1 January 2022 and 30 June 2023. Propensity score matching was used to match patients receiving NMV-r (NMV-r group) with those not receiving NMV-r (control group). The primary outcome was the compositive outcome of all-cause emergency department (ED) visits, hospitalization or death during the 30-day follow-up period. RESULTS Using propensity score matching methods, two cohorts of 30,969 patients each with balanced baseline characteristics were identified. During the follow-up period, the NMV-r group had a lower risk of all-cause ED visits, hospitalization or death [4.80% (n=1489) vs 5.50% (n=1705); hazard ratio (HR) 0.900, 95% confidence interval (CI) 0.839-0.965]. Compared with the control group, the NMV-r group had a lower risk of all-cause ED visits (HR 0.812, 95% CI 0.740-0.891) and all-cause mortality (HR 0.089, 95% CI 0.027-0.288). The lower risk in the NMV-r group compared with the control group was observed consistently in most subgroup analyses according to body mass index (30.0-34.9 kg/m2: HR 0.68, 95% CI 0.55-0.82; 35.0-39.9 kg/m2: HR 0.67, 95% CI 0.52-0.87), age (4-64 years: HR 0.83, 95% CI 0.75-0.92; ≥65 years: HR 0.88, 95% CI 0.79-0.98), sex (men: HR 0.69, 95% CI 0.60-0.79; women: HR 0.69, 95% CI 0.63-0.76) and vaccination status (unvaccinated: HR 0.75, 95% CI 0.70-0.81). CONCLUSION NMV-r is associated with reduced risk of all-cause ED visits, hospitalization and death for non-hospitalized obese patients with COVID-19. Accordingly, these findings support the use of NMV-r in obese patients.
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Affiliation(s)
- Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Centre, Tainan, Taiwan
| | - Mei-Yuan Liu
- Department of Nutrition, Chi Mei Medical Centre, Tainan, Taiwan; Department of Nutrition and Health Sciences, Chang Jung Christian University, Tainan, Taiwan
| | - Ting-Hui Liu
- Department of Psychiatry, Chi Mei Medical Centre, Tainan, Taiwan
| | - Min-Hsiang Chuang
- Department of Internal Medicine, Chi Mei Medical Centre, Tainan, Taiwan
| | - Wan-Hsuan Hsu
- Department of Psychiatry, Chi Mei Medical Centre, Tainan, Taiwan
| | - Po-Yu Huang
- Department of Internal Medicine, Chi Mei Medical Centre, Tainan, Taiwan
| | - Ya-Wen Tsai
- Centre of Integrative Medicine, Chi Mei Medical Centre, Tainan, Taiwan
| | - Chih-Cheng Lai
- Division of Hospital Medicine, Department of Internal Medicine, Chi Mei Medical Centre, Tainan, Taiwan; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan.
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12
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Uthoff SAK, Zinkevich A, Franiel D, Below M, Splieth H, Iwen J, Biedermann M, Heinemeier D, Ansmann L. A complex intervention on vaccination uptake among older adults (≥ 60 years) in Germany - a study protocol with a mixed methods design. BMC PRIMARY CARE 2023; 24:148. [PMID: 37452283 PMCID: PMC10349490 DOI: 10.1186/s12875-023-02101-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The current uptake of many vaccinations recommended for persons aged 60 and older is unsatisfactory in Germany. Lack of confidence in the safety and efficacy of vaccinations, lack of knowledge and insecurities about possible side effects, and numerous pragmatic barriers are just some of the reasons to be mentioned. General practitioners (GPs) play a central role in the vaccination process. Therefore, effective interventions in this context are needed to address the various barriers and improve the vaccination uptake rates. METHODS A complex intervention will be implemented and evaluated in 1057 GPs' practices in two German federal states. The components include trainings for GPs and medical assistants on communication psychology, medical aspects, and organisational vaccination processes. The primary outcome influenza vaccination rate and the secondary outcomes vaccination uptake rate of other vaccinations as well as vaccine literacy of patients will be examined. The intervention will be evaluated in a mixed methods study with a controlled design. Survey data will be analysed descriptively and by using mean comparisons as well as multivariable multilevel analyses. The qualitative data will be analysed with qualitative content analysis. The secondary data will be analysed by using descriptive statistics, a pre-post comparison by performing mean comparisons, cluster analysis, and subgroup analyses. DISCUSSION In this study, a complex intervention to improve vaccination rates in GP practices for the vaccinations recommended for people aged 60 years and older will be implemented and evaluated. Additionally, improvements in patients' vaccine-related health literacy and knowledge, and patients' intention to get vaccinated are expected. The mixed methods design can deliver results that can be used to improve preventive health care for elderly people and to gain more knowledge on vaccination uptake and the intervention's effectiveness. TRIAL REGISTRATION Trial registration number: DRKS00027252 (retrospectively registered).
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Affiliation(s)
- Sarah A K Uthoff
- Department of Health Services Research, Faculty of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstrasse 140, 29123, Oldenburg, Germany.
| | - Anna Zinkevich
- Department of Health Services Research, Faculty of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstrasse 140, 29123, Oldenburg, Germany
- Institute of Medical Sociology, Health Services Research, and Rehabilitation Science (IMVR), Chair of Medical Sociology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Eupener Str. 129, 50933, Cologne, Germany
| | - Dominika Franiel
- Central Research Institute of Ambulatory Health Care in Germany, Salzufer 8, 10587, Berlin, Germany
| | - Maike Below
- Central Research Institute of Ambulatory Health Care in Germany, Salzufer 8, 10587, Berlin, Germany
| | - Helene Splieth
- Association of Substitute Health Funds (Vdek) e.V, Askanischer Platz 1, 10963, Berlin, Germany
| | - Julia Iwen
- Association of Substitute Health Funds (Vdek) e.V, Askanischer Platz 1, 10963, Berlin, Germany
| | - Marc Biedermann
- The National Association of Statutory Health Insurance Physicians, Herbert-Lewin-Platz 2, 10623, Berlin, Germany
| | - Dorothee Heinemeier
- Communication Lab Erfurt, Bahnhofstraße. 16/Büßleber Gasse, 99084, Erfurt, Germany
| | - Lena Ansmann
- Department of Health Services Research, Faculty of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstrasse 140, 29123, Oldenburg, Germany
- Institute of Medical Sociology, Health Services Research, and Rehabilitation Science (IMVR), Chair of Medical Sociology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Eupener Str. 129, 50933, Cologne, Germany
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Reid J, Daya R, Zingoni ZM, Jassat W, Bayat Z, Nel J. COVID-19 in-hospital mortality during the first two pandemic waves, at Helen Joseph Hospital, South Africa. Pan Afr Med J 2023; 45:5. [PMID: 37346915 PMCID: PMC10280698 DOI: 10.11604/pamj.2023.45.5.39222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/19/2023] [Indexed: 06/23/2023] Open
Abstract
Introduction there has been significant global variation in Coronavirus Disease (COVID-19) mortality at different time points in the pandemic. Contributing factors include population demographics, comorbidities, health system capacity, prior infection with COVID-19, vaccinations, and viral variants. The study aims to describe COVID-19-related mortality of inpatients at Helen Joseph Hospital (HJH), over 12 months, during the first two waves of the COVID-19 pandemic in South Africa. The primary objectives were to describe the socio-demographic details, clinical characteristics, and hospital outcomes during the first and second waves of COVID-19. This included an assessment of the in-hospital case fatality ratio (CFR) of patients admitted with COVID-19. The secondary objectives were to compare the socio-demographic details, clinical characteristics, and outcomes between the two waves, and to determine risk factors associated with COVID-19-related mortality. Methods this is a retrospective cohort study of all inpatient laboratory-confirmed COVID-19 cases at HJH from 1st May 2020 to 31st April 2021. Data were collected by the National Institute for Communicable Diseases (NICD). Bivariate analysis was performed to describe and compare the socio-demographic characteristics, clinical characteristics, and hospital admission outcomes between the two waves. Multivariate logistic regression was used to determine risk factors for COVID-19-related mortality. Results overall, 1359 patients were admitted, 595 in wave one, and 764 in wave two. Patients were predominantly male (52.4%), of Black African race (75.1%) with a mean age of 54.6 (standard deviation 15.4) years. The median length of stay was 8 days (interquartile range 5-14 days). In total, 73.2% (995) of patients required oxygen, 5.2% (71) of patients received mechanical ventilation, and 7.1% (96) were admitted to the high care and Intensive Care Unit (ICU). The most common comorbid illnesses were hypertension (36.7%, n=499), diabetes mellitus (26.6%, n=362), Human Immunodeficiency Virus (HIV) (10.8%, n=147), and obesity (11.0%, n=149). The in-hospital CFR during the first wave was 30.4% (181/595) and 25.5% (195/764) (p<0.001) in the second wave, and overall, in-hospital CFR was 27.7% (376/1359). The adjusted odds of death were 79% higher among patients admitted during wave one compared to wave two (aOR=1.79; 95% CI: 1.35-2.38). A one-year increase in age increased the odds of death by 4% (aOR=1.04; 95% CI: 1.03-1.05). The need for oxygen (aOR=2.17, 95%CI: 1.56-3.01) and ventilation (aOR=7.23, 95% CI: 4.02-13.01) were significant risk factors for mortality. Conclusion prior to the availability of vaccines, COVID-19-related mortality was high and risk factors for mortality were consistent with national and international findings. This study reflects the impact of the pandemic on the South African public sector with limited resources and minimal ICU capacity.
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Affiliation(s)
- Joanna Reid
- Department of Internal Medicine, Helen Joseph Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Reyna Daya
- Department of Internal Medicine, Helen Joseph Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Zvifadzo Matsena Zingoni
- Division of Epidemiology and Biostatistics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Waasila Jassat
- National Institute for Communicable Diseases (NICD), National Health Laboratory Service (NHLS), South Africa
- Right to Care, Centurion, South Africa
| | - Zaheer Bayat
- Department of Internal Medicine, Helen Joseph Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jeremy Nel
- Department of Internal Medicine, Helen Joseph Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Tchamgoué S, Ntep Eboko M, Makamté A, Ngagnia A, Talla-Mba F, Nitcheu Wendi O, Kafando E, Tengang B, Sandjon JP, Tattevin P. Prospective cohort of COVID-19 patients requiring hospital admission in Douala, Cameroon. Infect Dis Now 2023; 53:104713. [PMID: 37116614 PMCID: PMC10131884 DOI: 10.1016/j.idnow.2023.104713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/06/2023] [Accepted: 04/21/2023] [Indexed: 04/30/2023]
Abstract
OBJECTIVES To report characteristics and outcome of COVID-19 patients who required hospital admission in sub-Saharan Africa clinics with no access to invasive mechanical ventilation. METHODS Between April and June 2021, documented COVID-19 patients with SaO2 <95% who were admitted in two clinics in Douala (Cameroon) were invited to participate. Data were prospectively collected using a standardized questionnaire. RESULTS We included 67 patients: 39 males (58%), median age 62 years [50-70]. Comorbidities included hypertension (n=38, 57%), obesity (n=26, 38%), and diabetes (n=16, 24%). No patient reported COVID-19 vaccination. On admission, 35 patients (52%) required O2 >6L/min. CT scan demonstrated extended lesions (>50%) in 50/61 cases (82%). Most patients received dexamethasone (n=64, 96%), heparin (n=64, 96%), chloroquine/azithromycin (n=59, 88%), and broad-spectrum antibiotics (n=59, 88%). Sixteen patients died (24%), after a median of 11.5 days [7.5-15.5] post-admission. CONCLUSIONS Despite the lack of invasive mechanical ventilation, 76% of COVID-19 patients survived.
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Affiliation(s)
- S Tchamgoué
- Polyclinique Bordeaux Douala, Douala, Cameroon
| | | | - A Makamté
- Polyclinique Bordeaux Douala, Douala, Cameroon; Interactive Medical Imaging Complex (IMIC), Douala, Cameroon
| | - A Ngagnia
- Polyclinique Bordeaux Douala, Douala, Cameroon; Interactive Medical Imaging Complex (IMIC), Douala, Cameroon; Centre des Maladies Respiratoires, Douala, Cameroon
| | - F Talla-Mba
- Polyclinique Bordeaux Douala, Douala, Cameroon
| | | | - E Kafando
- Interactive Medical Imaging Complex (IMIC), Douala, Cameroon
| | - B Tengang
- Centre des Maladies Respiratoires, Douala, Cameroon
| | | | - P Tattevin
- Services des Maladies Infectieuses et Réanimation Médicale, Hôpital Pontchaillou, Centre Hospitalo-Universitaire, Rennes, France.
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