Cargando…

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,...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1784617946205650944
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
work_keys_str_mv AT nlanduyannick predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT mafutadanny predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT sakajijunior predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT brecknellmelinda predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT engoleyannick predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT abathajessy predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT nkumujeanrobert predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT nkodilaaliocha predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT mboliassamariefrance predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT tuyinamaolivier predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT benadauphin predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT mbolokoyves predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT kobopatrick predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT bolokopatrick predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT tshangujoseph predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT azikaphilippe predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT kankujeanpierre predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT mafutapally predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT atantamamagloire predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT mavungujeanmichel predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT kitengerosita predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT sehliasma predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT vaneckoutkarel predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT mukukucathy predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT bergeretleo predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT benchetrittdavid predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT kalifagolan predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT rodolpheahmed predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy
AT bukabaujustine predictorsofmortalityincovid19patientsatkinshasamedicalcenterandasurvivalanalysisaretrospectivecohortstudy