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Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study

BACKGROUND: Data is lacking on outcomes among COPD patients in sub-Saharan Africa. The objective of the study was to assess the incidence and predictors of mortality among COPD patients enrolled in the Uganda Registry for Asthma and COPD. RESEARCH QUESTION: What is the Incidence and predictors of mo...

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Autores principales: Alupo, Patricia, Wosu, Adaeze C., Mahofa, Abdallah, Mugenyi, Levicatus, Semakula, Daniel, Katagira, Winceslaus, Kirenga, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877567/
https://www.ncbi.nlm.nih.gov/pubmed/33571315
http://dx.doi.org/10.1371/journal.pone.0246850
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author Alupo, Patricia
Wosu, Adaeze C.
Mahofa, Abdallah
Mugenyi, Levicatus
Semakula, Daniel
Katagira, Winceslaus
Kirenga, Bruce
author_facet Alupo, Patricia
Wosu, Adaeze C.
Mahofa, Abdallah
Mugenyi, Levicatus
Semakula, Daniel
Katagira, Winceslaus
Kirenga, Bruce
author_sort Alupo, Patricia
collection PubMed
description BACKGROUND: Data is lacking on outcomes among COPD patients in sub-Saharan Africa. The objective of the study was to assess the incidence and predictors of mortality among COPD patients enrolled in the Uganda Registry for Asthma and COPD. RESEARCH QUESTION: What is the Incidence and predictors of mortality among COPD patients in Uganda? STUDY DESIGN AND METHODS: Individuals with a diagnosis of COPD at six hospitals in Uganda were enrolled into the registry, and followed every six months. Mortality was ascertained through post-mortem reports and verbal autopsies. Mortality rates (MR), mortality rate ratios (MRR), and hazard ratios (HR) were computed to assess associations between socio-demographic, behavioural, and clinical characteristics at enrolment into the registry and mortality up to two years after. RESULTS: We enrolled 296 COPD patients. Median age was 60 years, and 51·3% were male. The overall mortality rate was 95·90 deaths/1000 person-years. COPD severity by post-bronchodilator FEV(1) was the strongest risk factor for mortality. Compared to stage 1, adjusted hazard ratios were as follows for stage 4: 9·86 (95%CI: 1·70–57·14, p = 0·011), stage 3: 6·16 (95%CI: 1·25–30·32, p = 0·025), and stage 2: 1·76 (95%CI: 0·33–9·48, p = 0·51). Underweight patients had a higher incidence of mortality compared to normal weight patients (MRR: 3·47 (95%CI: 1·45–8·31, p = 0·0026). CONCLUSION: Among COPD patients in Uganda, two-year mortality is high, and disease severity at baseline was the strongest risk factor for mortality. Our findings suggest the need for early, accurate, diagnosis and management of COPD, to potentially improve survival.
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spelling pubmed-78775672021-02-19 Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study Alupo, Patricia Wosu, Adaeze C. Mahofa, Abdallah Mugenyi, Levicatus Semakula, Daniel Katagira, Winceslaus Kirenga, Bruce PLoS One Research Article BACKGROUND: Data is lacking on outcomes among COPD patients in sub-Saharan Africa. The objective of the study was to assess the incidence and predictors of mortality among COPD patients enrolled in the Uganda Registry for Asthma and COPD. RESEARCH QUESTION: What is the Incidence and predictors of mortality among COPD patients in Uganda? STUDY DESIGN AND METHODS: Individuals with a diagnosis of COPD at six hospitals in Uganda were enrolled into the registry, and followed every six months. Mortality was ascertained through post-mortem reports and verbal autopsies. Mortality rates (MR), mortality rate ratios (MRR), and hazard ratios (HR) were computed to assess associations between socio-demographic, behavioural, and clinical characteristics at enrolment into the registry and mortality up to two years after. RESULTS: We enrolled 296 COPD patients. Median age was 60 years, and 51·3% were male. The overall mortality rate was 95·90 deaths/1000 person-years. COPD severity by post-bronchodilator FEV(1) was the strongest risk factor for mortality. Compared to stage 1, adjusted hazard ratios were as follows for stage 4: 9·86 (95%CI: 1·70–57·14, p = 0·011), stage 3: 6·16 (95%CI: 1·25–30·32, p = 0·025), and stage 2: 1·76 (95%CI: 0·33–9·48, p = 0·51). Underweight patients had a higher incidence of mortality compared to normal weight patients (MRR: 3·47 (95%CI: 1·45–8·31, p = 0·0026). CONCLUSION: Among COPD patients in Uganda, two-year mortality is high, and disease severity at baseline was the strongest risk factor for mortality. Our findings suggest the need for early, accurate, diagnosis and management of COPD, to potentially improve survival. Public Library of Science 2021-02-11 /pmc/articles/PMC7877567/ /pubmed/33571315 http://dx.doi.org/10.1371/journal.pone.0246850 Text en © 2021 Alupo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Alupo, Patricia
Wosu, Adaeze C.
Mahofa, Abdallah
Mugenyi, Levicatus
Semakula, Daniel
Katagira, Winceslaus
Kirenga, Bruce
Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study
title Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study
title_full Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study
title_fullStr Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study
title_full_unstemmed Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study
title_short Incidence and predictors of COPD mortality in Uganda: A 2-year prospective cohort study
title_sort incidence and predictors of copd mortality in uganda: a 2-year prospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877567/
https://www.ncbi.nlm.nih.gov/pubmed/33571315
http://dx.doi.org/10.1371/journal.pone.0246850
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