ArticleCureus2024
Predictors of Mortality Among Hemodialysis Patients at Al-Thora General Hospital, Ibb Governate, Yemen: A Retrospective Study.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Beyond the Battlefield: Examining Acute Kidney Injury in Yemen's Humanitarian Crisis.Public health challenges · 2026Review
- Article
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5 authors.
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Abstract
backgroundIn addition to the global rise in the use of hemodialysis (HD) for end-stage renal disease, individuals receiving maintenance HD continue to have higher mortality rates than the general population. The mortality rates among HD patients in Yemen have not been studied because of the lack of a national registry system, and the impact of the disease on the country is yet to be evaluated. Our study aimed to assess the clinical characteristics and factors associated with mortality among patients with HD in a resource-limited setting. MATERIALS AND
methodsThis retrospective study involved 4194 HD patients at the Nephrology Center of Al-Thora General Hospital, Ibb Governate, Yemen, between March 2014 and September 2023. Data on HD patients' demographic characteristics, risk factors, and comorbidities were gathered and analyzed. The Kaplan-Meier and log-rank tests were used to evaluate and compare survival curves, and the proportional Cox hazard model was used to investigate the factors associated with mortality.
resultThe mean age was 49.2 ± 16.5 years. The majority of cases were male (n= 2604, 62.1%) and from rural areas (3386, 80.7%), with 1226 (29.2%) living outside Ibb Governorate. Hepatitis C and B viruses were positive in 466 (11.1%) and 312 (7.4%) patients. The main comorbidity was hypertension (n= 3152, 75.2%), followed by diabetes mellitus (DM) (n= 1375, 32.8%). Five hundred and forty-eight patients died during the study period between 2017 and 2023, with an estimated mortality rate of 13.1%. The survival rates at 12, 24, 36, 48, and 60 months of follow-up were approximately 97.4%, 93.3%, 91.7%, 86.0%, and 74.6%, respectively. Predictive factors for mortality among HD patients in the Cox regression model were age >65 years (HR:1.41; 95 % CI: 1.15-1.74, p<0.001), cardiovascular disease (HR: 7.28; 95 % CI: 2.68-19.81, p<0.001), coming from other cities (HR: 1.32; 95% CI: 1.11-1.59, p= 0.002), DM (HR: 1.58; 95% CI: 1.23-2.01, p <0.001), and cerebral vascular accidents (HR:1.57; 95 % CI: 1.13-2.18, p= 0.007).
conclusionInstead of a higher mortality rate in this study, coming from other cities, DM, cardiovascular disease, cerebral vascular accidents, and age >65 years were predictive factors for mortality in HD patients. The study underlines the necessity of planning new HD facilities, avoiding and treating comorbidities, managing them early to decrease mortality, and educating regional administrative decision-makers on effective implementation techniques.
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