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Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa

BACKGROUND: Despite the multiple benefits of maintaining residual urine volume (RUV) in hemodialysis (HD), there is limited data from Sub-Saharan Africa. The aim of this study was to assess the impact of RUV decline on the survival of HD patients. METHODS: In a retrospective cohort study, 250 consec...

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Autores principales: Mokoli, Vieux Momeme, Sumaili, Ernest Kiswaya, Lepira, François Bompeka, Makulo, Jean Robert Rissassy, Bukabau, Justine Busanga, osa Izeidi, Patrick Parmba, Luse, Jeannine Losa, Mukendi, Stéphane Kalambay, Mashinda, Désiré Kulimba, Nseka, Nazaire Mangani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5117615/
https://www.ncbi.nlm.nih.gov/pubmed/27871253
http://dx.doi.org/10.1186/s12882-016-0401-9
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author Mokoli, Vieux Momeme
Sumaili, Ernest Kiswaya
Lepira, François Bompeka
Makulo, Jean Robert Rissassy
Bukabau, Justine Busanga
osa Izeidi, Patrick Parmba
Luse, Jeannine Losa
Mukendi, Stéphane Kalambay
Mashinda, Désiré Kulimba
Nseka, Nazaire Mangani
author_facet Mokoli, Vieux Momeme
Sumaili, Ernest Kiswaya
Lepira, François Bompeka
Makulo, Jean Robert Rissassy
Bukabau, Justine Busanga
osa Izeidi, Patrick Parmba
Luse, Jeannine Losa
Mukendi, Stéphane Kalambay
Mashinda, Désiré Kulimba
Nseka, Nazaire Mangani
author_sort Mokoli, Vieux Momeme
collection PubMed
description BACKGROUND: Despite the multiple benefits of maintaining residual urine volume (RUV) in hemodialysis (HD), there is limited data from Sub-Saharan Africa. The aim of this study was to assess the impact of RUV decline on the survival of HD patients. METHODS: In a retrospective cohort study, 250 consecutive chronic HD patients (mean age 52.5 years; 68.8% male, median HD duration 6 months) from two hospitals in the city of Kinshasa were studied, between January 2007 and July 2013. The primary outcome was lost RUV. Preserved or lost RUV was defined as decline RUV < 25 (median decline) or ≥ 25 ml/day/month, respectively. The second endpoint was survival (time-to death). Survival curves were built using the Kaplan-Meier methods. We used Log-rank test to compare survival curves. Predictors of mortality were assessed by Cox proportional hazards regression models. RESULTS: The cumulative incidence of patients with RUV decline was 52, 4%. The median (IQR) decline in RUV was 25 (20.8–33.3) ml/day/month in the population studied, 56.7 (43.3–116.7) in patients deceased versus 12.9 (8.3–16.7) in survivor patients (p < 0.001). Overall mortality was 78 per 1000 patient years (17 per 1000 in preserved vs 61 per 1000 lost RUV). Forty six patients (18.4%) died from withdrawal of HD due to financial constraints. The Median survival was 17 months in the whole group while, a significant difference was shown between lost (10 months, n = 119) vs preserved RUV group (30 months, n = 131; p = 0001). Multivariate Cox proportional hazards models showed that, decreased RUV (adjusted HR 5.35, 95% CI [2.73–10.51], p < 0.001), financial status (aHR 2.23, [1.11–4.46], p = 0.024), hypervolemia (a HR 2.00, [1.17–3.40], p = 0.011), lacking ACEI (aHR 2.48, [1.40–4.40], p = 0.002) or beta blocker use (aHR 4.04, [1.42–11.54], p = 0.009), central venous catheter (aHR 6.26, [1.71–22.95], p = 0.006), serum albumin (aHR 0.93, [0.89–0.96], p < 0.001) and hemoglobin (aHR 0.73, [0.63–0.84], p < 0.001) had emerged as the independent predictors of all-cause mortality. CONCLUSION: More than half of HD patients in this cohort study experienced fast RUV decline which contributed substantially to increase mortality, highlighting the need for its prevention and management.
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spelling pubmed-51176152016-11-28 Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa Mokoli, Vieux Momeme Sumaili, Ernest Kiswaya Lepira, François Bompeka Makulo, Jean Robert Rissassy Bukabau, Justine Busanga osa Izeidi, Patrick Parmba Luse, Jeannine Losa Mukendi, Stéphane Kalambay Mashinda, Désiré Kulimba Nseka, Nazaire Mangani BMC Nephrol Research Article BACKGROUND: Despite the multiple benefits of maintaining residual urine volume (RUV) in hemodialysis (HD), there is limited data from Sub-Saharan Africa. The aim of this study was to assess the impact of RUV decline on the survival of HD patients. METHODS: In a retrospective cohort study, 250 consecutive chronic HD patients (mean age 52.5 years; 68.8% male, median HD duration 6 months) from two hospitals in the city of Kinshasa were studied, between January 2007 and July 2013. The primary outcome was lost RUV. Preserved or lost RUV was defined as decline RUV < 25 (median decline) or ≥ 25 ml/day/month, respectively. The second endpoint was survival (time-to death). Survival curves were built using the Kaplan-Meier methods. We used Log-rank test to compare survival curves. Predictors of mortality were assessed by Cox proportional hazards regression models. RESULTS: The cumulative incidence of patients with RUV decline was 52, 4%. The median (IQR) decline in RUV was 25 (20.8–33.3) ml/day/month in the population studied, 56.7 (43.3–116.7) in patients deceased versus 12.9 (8.3–16.7) in survivor patients (p < 0.001). Overall mortality was 78 per 1000 patient years (17 per 1000 in preserved vs 61 per 1000 lost RUV). Forty six patients (18.4%) died from withdrawal of HD due to financial constraints. The Median survival was 17 months in the whole group while, a significant difference was shown between lost (10 months, n = 119) vs preserved RUV group (30 months, n = 131; p = 0001). Multivariate Cox proportional hazards models showed that, decreased RUV (adjusted HR 5.35, 95% CI [2.73–10.51], p < 0.001), financial status (aHR 2.23, [1.11–4.46], p = 0.024), hypervolemia (a HR 2.00, [1.17–3.40], p = 0.011), lacking ACEI (aHR 2.48, [1.40–4.40], p = 0.002) or beta blocker use (aHR 4.04, [1.42–11.54], p = 0.009), central venous catheter (aHR 6.26, [1.71–22.95], p = 0.006), serum albumin (aHR 0.93, [0.89–0.96], p < 0.001) and hemoglobin (aHR 0.73, [0.63–0.84], p < 0.001) had emerged as the independent predictors of all-cause mortality. CONCLUSION: More than half of HD patients in this cohort study experienced fast RUV decline which contributed substantially to increase mortality, highlighting the need for its prevention and management. BioMed Central 2016-11-21 /pmc/articles/PMC5117615/ /pubmed/27871253 http://dx.doi.org/10.1186/s12882-016-0401-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mokoli, Vieux Momeme
Sumaili, Ernest Kiswaya
Lepira, François Bompeka
Makulo, Jean Robert Rissassy
Bukabau, Justine Busanga
osa Izeidi, Patrick Parmba
Luse, Jeannine Losa
Mukendi, Stéphane Kalambay
Mashinda, Désiré Kulimba
Nseka, Nazaire Mangani
Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa
title Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa
title_full Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa
title_fullStr Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa
title_full_unstemmed Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa
title_short Impact of residual urine volume decline on the survival of chronic hemodialysis patients in Kinshasa
title_sort impact of residual urine volume decline on the survival of chronic hemodialysis patients in kinshasa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5117615/
https://www.ncbi.nlm.nih.gov/pubmed/27871253
http://dx.doi.org/10.1186/s12882-016-0401-9
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