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Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis
BACKGROUND: Uterine rupture is the most dangerous complication of labor and contributes to high maternal mortality. Despite efforts to improve basic and comprehensive emergency obstetric treatment, women continue to suffer from disastrous maternal outcomes. PURPOSE: This study aimed to assess the su...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054622/ https://www.ncbi.nlm.nih.gov/pubmed/37006639 http://dx.doi.org/10.2147/IJWH.S402885 |
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author | Alemu, Addisu Yadeta, Elias Deressa, Alemayehu Debella, Adera Birhanu, Abdi Heluf, Helina Mohammed, Ahmed Ahmed, Fila Beyene, Andinet Getachew, Tamirat Eyeberu, Addis |
author_facet | Alemu, Addisu Yadeta, Elias Deressa, Alemayehu Debella, Adera Birhanu, Abdi Heluf, Helina Mohammed, Ahmed Ahmed, Fila Beyene, Andinet Getachew, Tamirat Eyeberu, Addis |
author_sort | Alemu, Addisu |
collection | PubMed |
description | BACKGROUND: Uterine rupture is the most dangerous complication of labor and contributes to high maternal mortality. Despite efforts to improve basic and comprehensive emergency obstetric treatment, women continue to suffer from disastrous maternal outcomes. PURPOSE: This study aimed to assess the survival status and predictors of mortality among women with uterine rupture at public hospitals in the Harari Region, Eastern Ethiopia. PATIENTS AND METHODS: We conducted a retrospective cohort study among women with uterine rupture in public hospitals in Eastern Ethiopia. All women with uterine rupture were followed for 11 years retrospectively. Statistical analysis was conducted with STATA version 14.2. Kaplan–Meier curves together with a Log rank test were used to estimate the survival time and show the presence of differences among groups. Cox Proportion Hazard (CPH) model was used to determine the association between independent variables and survival status. RESULTS: There were 57,006 deliveries in the study period. We found that 10.5% (95% CI: 6.8–15.7) of women with uterine rupture have died. The median recovery and death time for women with uterine rupture were 8 and 3 days with interquartile range (IQR) of 7–11 days and 2–5 days, respectively. Antenatal care follow-up (AHR: 4.2, 95% CI: 1.8–9.79), education status (AHR: 0.11; 95% CI: 0.02–0.85), visiting health center (AHR: 4.89; 95% CI: 1.05–22.88), and admission time (AHR: 4.4; 95% CI: 1.89–10.18) were the predictors of survival status of women with uterine rupture. CONCLUSION: One out of ten study participants died due to uterine rupture. Factors including not having ANC follow-up, visiting health centers for treatment, and being admitted during the night time were predictors. Thus, a great emphasis has to be given to the prevention of uterine rupture and the linkage within health institutions has to be smooth to improve the survival of patients with uterine rupture with the help of different professionals, health institutions, health bureaus, and policymakers. |
format | Online Article Text |
id | pubmed-10054622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-100546222023-03-30 Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis Alemu, Addisu Yadeta, Elias Deressa, Alemayehu Debella, Adera Birhanu, Abdi Heluf, Helina Mohammed, Ahmed Ahmed, Fila Beyene, Andinet Getachew, Tamirat Eyeberu, Addis Int J Womens Health Original Research BACKGROUND: Uterine rupture is the most dangerous complication of labor and contributes to high maternal mortality. Despite efforts to improve basic and comprehensive emergency obstetric treatment, women continue to suffer from disastrous maternal outcomes. PURPOSE: This study aimed to assess the survival status and predictors of mortality among women with uterine rupture at public hospitals in the Harari Region, Eastern Ethiopia. PATIENTS AND METHODS: We conducted a retrospective cohort study among women with uterine rupture in public hospitals in Eastern Ethiopia. All women with uterine rupture were followed for 11 years retrospectively. Statistical analysis was conducted with STATA version 14.2. Kaplan–Meier curves together with a Log rank test were used to estimate the survival time and show the presence of differences among groups. Cox Proportion Hazard (CPH) model was used to determine the association between independent variables and survival status. RESULTS: There were 57,006 deliveries in the study period. We found that 10.5% (95% CI: 6.8–15.7) of women with uterine rupture have died. The median recovery and death time for women with uterine rupture were 8 and 3 days with interquartile range (IQR) of 7–11 days and 2–5 days, respectively. Antenatal care follow-up (AHR: 4.2, 95% CI: 1.8–9.79), education status (AHR: 0.11; 95% CI: 0.02–0.85), visiting health center (AHR: 4.89; 95% CI: 1.05–22.88), and admission time (AHR: 4.4; 95% CI: 1.89–10.18) were the predictors of survival status of women with uterine rupture. CONCLUSION: One out of ten study participants died due to uterine rupture. Factors including not having ANC follow-up, visiting health centers for treatment, and being admitted during the night time were predictors. Thus, a great emphasis has to be given to the prevention of uterine rupture and the linkage within health institutions has to be smooth to improve the survival of patients with uterine rupture with the help of different professionals, health institutions, health bureaus, and policymakers. Dove 2023-03-25 /pmc/articles/PMC10054622/ /pubmed/37006639 http://dx.doi.org/10.2147/IJWH.S402885 Text en © 2023 Alemu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Alemu, Addisu Yadeta, Elias Deressa, Alemayehu Debella, Adera Birhanu, Abdi Heluf, Helina Mohammed, Ahmed Ahmed, Fila Beyene, Andinet Getachew, Tamirat Eyeberu, Addis Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis |
title | Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis |
title_full | Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis |
title_fullStr | Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis |
title_full_unstemmed | Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis |
title_short | Survival Status and Predictors of Mortality Among Women with Uterine Rupture at Public Hospitals of Eastern Ethiopia. Semi-Parametric Survival Analysis |
title_sort | survival status and predictors of mortality among women with uterine rupture at public hospitals of eastern ethiopia. semi-parametric survival analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054622/ https://www.ncbi.nlm.nih.gov/pubmed/37006639 http://dx.doi.org/10.2147/IJWH.S402885 |
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