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Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers
BACKGROUND: The prevalence of chronic kidney disease (CKD) is between 10 and 15% worldwide. Ethiopia is seeing a consistent increase in the number of dialysis patients. Patients on chronic hemodialysis have high mortality rates, but there is little information available in Ethiopia. Thus, this study...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811754/ https://www.ncbi.nlm.nih.gov/pubmed/36600194 http://dx.doi.org/10.1186/s12882-022-03053-6 |
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author | Desta, Beza Zewdu Dadi, Abel Fekadu Derseh, Behailu Tariku |
author_facet | Desta, Beza Zewdu Dadi, Abel Fekadu Derseh, Behailu Tariku |
author_sort | Desta, Beza Zewdu |
collection | PubMed |
description | BACKGROUND: The prevalence of chronic kidney disease (CKD) is between 10 and 15% worldwide. Ethiopia is seeing a consistent increase in the number of dialysis patients. Patients on chronic hemodialysis have high mortality rates, but there is little information available in Ethiopia. Thus, this study looked into patient mortality and the factors that contributed to it at three dialysis centers in Addis Ababa for hemodialysis patients. METHOD: A facility-based retrospective follow-up study was employed among End-Stage Renal Disease patients on hemodialysis from 2016 to 2020 at St. Paul Millennium Medical College (SPMMC), Zewditu Memorial Hospital (ZMH), and Menelik II Hospital. The proportional hazard assumption was checked by using the Log (-log (St)) plots and tests. Life-table analysis was fitted to estimate the one and five-year’s survival probability of these patients and Cox Proportional regression analysis to model the predictors of mortality at p-value < 0.05. RESULT: Over the course of 2772 person-months, 139 patients were tracked. Of these patients, 88 (63.3%) were male and the mean age (± SD) of the patients was 36.8 (± 11.9) years. During the follow-up period, 24 (17%) of the patients died, 67 (48.2%) were alive, 43 (30.9%) received a kidney transplant, and 5 (3.6%) were lost to follow-up. The mean survival time was 46.2 months (95% CI: 41.8, 50.5). According to estimates, there were 104 deaths per 1000 person-years at the end of the follow-up period. The likelihood that these patients would survive for one and 5 years was 91%% and 65%, respectively. Our analysis showed that patients with hypertension (Adjusted Hazard Rate (AHR) = 4.33; 95% CI: 1.02, 34.56), cardiovascular disease (AHR = 4.69; 95% CI: 1.32, 16.80), and infection during dialysis (AHR = 3.89; 95% CI: 1.96, 13.80) were more likely to die. CONCLUSION: The hemodialysis patients' death rate in the chosen dialysis facilities was high. Preventing and treating comorbidities and complications during dialysis would probably reduce the mortality of CKD patients. Furthermore, the best way to avoid and manage chronic kidney disease is to take a complete and integrated approach to manage hypertension, diabetes, and obesity. |
format | Online Article Text |
id | pubmed-9811754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98117542023-01-04 Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers Desta, Beza Zewdu Dadi, Abel Fekadu Derseh, Behailu Tariku BMC Nephrol Research BACKGROUND: The prevalence of chronic kidney disease (CKD) is between 10 and 15% worldwide. Ethiopia is seeing a consistent increase in the number of dialysis patients. Patients on chronic hemodialysis have high mortality rates, but there is little information available in Ethiopia. Thus, this study looked into patient mortality and the factors that contributed to it at three dialysis centers in Addis Ababa for hemodialysis patients. METHOD: A facility-based retrospective follow-up study was employed among End-Stage Renal Disease patients on hemodialysis from 2016 to 2020 at St. Paul Millennium Medical College (SPMMC), Zewditu Memorial Hospital (ZMH), and Menelik II Hospital. The proportional hazard assumption was checked by using the Log (-log (St)) plots and tests. Life-table analysis was fitted to estimate the one and five-year’s survival probability of these patients and Cox Proportional regression analysis to model the predictors of mortality at p-value < 0.05. RESULT: Over the course of 2772 person-months, 139 patients were tracked. Of these patients, 88 (63.3%) were male and the mean age (± SD) of the patients was 36.8 (± 11.9) years. During the follow-up period, 24 (17%) of the patients died, 67 (48.2%) were alive, 43 (30.9%) received a kidney transplant, and 5 (3.6%) were lost to follow-up. The mean survival time was 46.2 months (95% CI: 41.8, 50.5). According to estimates, there were 104 deaths per 1000 person-years at the end of the follow-up period. The likelihood that these patients would survive for one and 5 years was 91%% and 65%, respectively. Our analysis showed that patients with hypertension (Adjusted Hazard Rate (AHR) = 4.33; 95% CI: 1.02, 34.56), cardiovascular disease (AHR = 4.69; 95% CI: 1.32, 16.80), and infection during dialysis (AHR = 3.89; 95% CI: 1.96, 13.80) were more likely to die. CONCLUSION: The hemodialysis patients' death rate in the chosen dialysis facilities was high. Preventing and treating comorbidities and complications during dialysis would probably reduce the mortality of CKD patients. Furthermore, the best way to avoid and manage chronic kidney disease is to take a complete and integrated approach to manage hypertension, diabetes, and obesity. BioMed Central 2023-01-04 /pmc/articles/PMC9811754/ /pubmed/36600194 http://dx.doi.org/10.1186/s12882-022-03053-6 Text en © The Author(s) 2023 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 Desta, Beza Zewdu Dadi, Abel Fekadu Derseh, Behailu Tariku Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers |
title | Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers |
title_full | Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers |
title_fullStr | Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers |
title_full_unstemmed | Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers |
title_short | Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers |
title_sort | mortality in hemodialysis patients in ethiopia: a retrospective follow-up study in three centers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811754/ https://www.ncbi.nlm.nih.gov/pubmed/36600194 http://dx.doi.org/10.1186/s12882-022-03053-6 |
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