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Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study
BACKGROUND: Despite it being a global pandemic, there is little research examining the clinical features of severe COVID-19 in sub-Saharan Africa. This study aims to identify predictors of mortality in COVID-19 patients at Kinshasa Medical Center (KMC). METHODS: In this retrospective, observational,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686084/ https://www.ncbi.nlm.nih.gov/pubmed/34930174 http://dx.doi.org/10.1186/s12879-021-06984-x |
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author | Nlandu, Yannick Mafuta, Danny Sakaji, Junior Brecknell, Melinda Engole, Yannick Abatha, Jessy Nkumu, Jean-Robert Nkodila, Aliocha Mboliassa, Marie-France Tuyinama, Olivier Bena, Dauphin Mboloko, Yves Kobo, Patrick Boloko, Patrick Tshangu, Joseph Azika, Philippe Kanku, Jean-Pierre Mafuta, Pally Atantama, Magloire Mavungu, Jean-Michel Kitenge, Rosita Sehli, Asma Van Eckout, Karel Mukuku, Cathy Bergeret, Léo Benchetritt, David Kalifa, Golan Rodolphe, Ahmed Bukabau, Justine |
author_facet | Nlandu, Yannick Mafuta, Danny Sakaji, Junior Brecknell, Melinda Engole, Yannick Abatha, Jessy Nkumu, Jean-Robert Nkodila, Aliocha Mboliassa, Marie-France Tuyinama, Olivier Bena, Dauphin Mboloko, Yves Kobo, Patrick Boloko, Patrick Tshangu, Joseph Azika, Philippe Kanku, Jean-Pierre Mafuta, Pally Atantama, Magloire Mavungu, Jean-Michel Kitenge, Rosita Sehli, Asma Van Eckout, Karel Mukuku, Cathy Bergeret, Léo Benchetritt, David Kalifa, Golan Rodolphe, Ahmed Bukabau, Justine |
author_sort | Nlandu, Yannick |
collection | PubMed |
description | BACKGROUND: Despite it being a global pandemic, there is little research examining the clinical features of severe COVID-19 in sub-Saharan Africa. This study aims to identify predictors of mortality in COVID-19 patients at Kinshasa Medical Center (KMC). METHODS: In this retrospective, observational, cohort study carried out at the Kinshasa Medical Center (KMC) between March 10, 2020 and July 10, 2020, we included all adult inpatients (≥ 18 years old) with a positive COVID-19 PCR result. The end point of the study was survival. The study population was dichotomized into survivors and non-survivors group. Kaplan–Meier plot was used for survival analyses. The Log-Rank test was employed to compare the survival curves. Predictors of mortality were identified by Cox regression models. The significance level of p value was set at 0.05. RESULTS: 432 patients with confirmed COVID-19 were identified and only 106 (24.5%) patients with moderate, severe or critical illness (mean age 55.6 ± 13.2 years old, 80.2% were male) were included in this study, of whom 34 (32%) died during their hospitalisation. The main complications of the patients included ARDS in 59/66 (89.4%) patients, coagulopathy in 35/93 (37.6%) patients, acute cardiac injury in 24/98 (24.5%) patients, AKI in 15/74 (20.3%) patients and secondary infection in 12/81 (14.8%) patients. The independent predictors of mortality were found to be age [aHR 1.38; 95% CI 1.10–1.82], AKI stage 3 [aHR 2.51; 95% CI 1.33–6.80], proteinuria [aHR 2.60; 95% CI 1.40–6.42], respiratory rate [aHR 1.42; 95% CI 1.09–1.92] and procalcitonin [aHR 1.08; 95% CI 1.03–1.14]. The median survival time of the entire group was 12 days. The cumulative survival rate of COVID-19 patients was 86.9%, 65.0% and 19.9% respectively at 5, 10 and 20 days. Levels of creatinine (p = 0.012), were clearly elevated in non-survivors compared with survivors throughout the clinical course and increased deterioration. CONCLUSION: Mortality rate of COVID-19 patients is high, particularly in intubated patients and is associated with age, respiratory rate, proteinuria, procalcitonin and acute kidney injury. |
format | Online Article Text |
id | pubmed-8686084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86860842021-12-20 Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study Nlandu, Yannick Mafuta, Danny Sakaji, Junior Brecknell, Melinda Engole, Yannick Abatha, Jessy Nkumu, Jean-Robert Nkodila, Aliocha Mboliassa, Marie-France Tuyinama, Olivier Bena, Dauphin Mboloko, Yves Kobo, Patrick Boloko, Patrick Tshangu, Joseph Azika, Philippe Kanku, Jean-Pierre Mafuta, Pally Atantama, Magloire Mavungu, Jean-Michel Kitenge, Rosita Sehli, Asma Van Eckout, Karel Mukuku, Cathy Bergeret, Léo Benchetritt, David Kalifa, Golan Rodolphe, Ahmed Bukabau, Justine BMC Infect Dis Research Article BACKGROUND: Despite it being a global pandemic, there is little research examining the clinical features of severe COVID-19 in sub-Saharan Africa. This study aims to identify predictors of mortality in COVID-19 patients at Kinshasa Medical Center (KMC). METHODS: In this retrospective, observational, cohort study carried out at the Kinshasa Medical Center (KMC) between March 10, 2020 and July 10, 2020, we included all adult inpatients (≥ 18 years old) with a positive COVID-19 PCR result. The end point of the study was survival. The study population was dichotomized into survivors and non-survivors group. Kaplan–Meier plot was used for survival analyses. The Log-Rank test was employed to compare the survival curves. Predictors of mortality were identified by Cox regression models. The significance level of p value was set at 0.05. RESULTS: 432 patients with confirmed COVID-19 were identified and only 106 (24.5%) patients with moderate, severe or critical illness (mean age 55.6 ± 13.2 years old, 80.2% were male) were included in this study, of whom 34 (32%) died during their hospitalisation. The main complications of the patients included ARDS in 59/66 (89.4%) patients, coagulopathy in 35/93 (37.6%) patients, acute cardiac injury in 24/98 (24.5%) patients, AKI in 15/74 (20.3%) patients and secondary infection in 12/81 (14.8%) patients. The independent predictors of mortality were found to be age [aHR 1.38; 95% CI 1.10–1.82], AKI stage 3 [aHR 2.51; 95% CI 1.33–6.80], proteinuria [aHR 2.60; 95% CI 1.40–6.42], respiratory rate [aHR 1.42; 95% CI 1.09–1.92] and procalcitonin [aHR 1.08; 95% CI 1.03–1.14]. The median survival time of the entire group was 12 days. The cumulative survival rate of COVID-19 patients was 86.9%, 65.0% and 19.9% respectively at 5, 10 and 20 days. Levels of creatinine (p = 0.012), were clearly elevated in non-survivors compared with survivors throughout the clinical course and increased deterioration. CONCLUSION: Mortality rate of COVID-19 patients is high, particularly in intubated patients and is associated with age, respiratory rate, proteinuria, procalcitonin and acute kidney injury. BioMed Central 2021-12-20 /pmc/articles/PMC8686084/ /pubmed/34930174 http://dx.doi.org/10.1186/s12879-021-06984-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nlandu, Yannick Mafuta, Danny Sakaji, Junior Brecknell, Melinda Engole, Yannick Abatha, Jessy Nkumu, Jean-Robert Nkodila, Aliocha Mboliassa, Marie-France Tuyinama, Olivier Bena, Dauphin Mboloko, Yves Kobo, Patrick Boloko, Patrick Tshangu, Joseph Azika, Philippe Kanku, Jean-Pierre Mafuta, Pally Atantama, Magloire Mavungu, Jean-Michel Kitenge, Rosita Sehli, Asma Van Eckout, Karel Mukuku, Cathy Bergeret, Léo Benchetritt, David Kalifa, Golan Rodolphe, Ahmed Bukabau, Justine Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study |
title | Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study |
title_full | Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study |
title_fullStr | Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study |
title_full_unstemmed | Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study |
title_short | Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study |
title_sort | predictors of mortality in covid-19 patients at kinshasa medical center and a survival analysis: a retrospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686084/ https://www.ncbi.nlm.nih.gov/pubmed/34930174 http://dx.doi.org/10.1186/s12879-021-06984-x |
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