埃塞俄比亚亚的斯亚贝巴透析室接受血液透析的慢性肾病患者的死亡时间及其预测因素:一项回顾性队列研究。

IF 2.2 4区 医学 Q2 UROLOGY & NEPHROLOGY BMC Nephrology Pub Date : 2024-08-28 DOI:10.1186/s12882-024-03719-3
Azeb Haile Tesfaye, Adamu Birhanu, Tufa Kolola, Leja Hamza, Diriba Etana
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引用次数: 0

摘要

背景:慢性肾脏病是一种渐进性疾病,影响着全球 10%以上的人口,也是 21 世纪的主要死亡原因。此外,慢性肾脏病还给接受血液透析的患者带来了沉重的经济负担。然而,关于埃塞俄比亚血液透析患者的死亡时间及其预测因素的研究很少,尤其是在本研究领域;因此,了解死亡时间并确定影响存活时间的预测因素对于改善血液透析患者的存活时间和预后至关重要。本研究旨在评估埃塞俄比亚亚的斯亚贝巴一家透析单位的慢性肾病血液透析患者的死亡时间及其预测因素:从 2017 年 1 月 1 日至 2022 年 12 月 30 日,对 370 名接受血液透析的慢性肾病患者进行了一项基于机构的回顾性队列研究。数据提取时间为 2023 年 4 月 1 日至 5 月 20 日,每个变量均已编码并输入 Epi Data 3.1 版,然后导出到 STATA 15 版软件中进行分析。采用卡普兰-梅耶(Kaplan-Meier)检验和对数秩检验。进行双变量 Cox 比例回归,并对 p 值为 Result 的变量进行分析:在这项研究中,总体中位生存时间为 47 个月(95% CI:36.7,56),死亡发生率为每观察月每千人 16.8 例(95% CI:13.8-20.3)。年龄在 64 岁及以上(调整后危险系数:2.8;95% CI:1.67-4.98)、导管血管通路(调整后危险系数:3.47;95% CI:2.03-5.93)、心血管疾病(调整后危险系数:1.88;95% CI:1.15-3.07)和 B 血型(调整后危险系数:2.07;95% CI:1.17-3.69)是血液透析患者死亡时间的重要预测因素。结论与建议:中位生存时间为 47 个月,四分位数范围为 40 个月。心血管疾病、老年人、中心静脉导管和 B 型血是血液透析患者死亡时间的重要预测因素。因此,为了提高血液透析患者的存活率,医务人员和相关机构应关注并努力改善这些预测因素。
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Time to death and its predictors among patients with chronic kidney disease on hemodialysis at dialysis unit in Addis Ababa, Ethiopia: a retrospective cohort study.

Background: Chronic kidney disease is a progressive disease that affects more than 10% of the world's population and is also the leading cause of death in the twenty-first century. Furthermore, it imposes a significant financial burden on people undergoing hemodialysis. However, there is little research, particularly in the study area, on time to death and its predicators among hemodialysis patients in Ethiopia; therefore, knowing time to death and identifying predicators that affect survival time is crucial in order to improve survival time and enhance the prognosis of hemodialysis patients. The aim of this study was to assess time to death and its predictors among patients with chronic kidney disease on hemodialysis at a dialysis unit in Addis Ababa, Ethiopia, in 2023.

Methods: An institution-based retrospective cohort study was carried out among 370 chronic kidney disease patients on hemodialysis from January 1st, 2017 to December 30th, 2022. Data were extracted from April 1st-May 20th, 2023, and each variable was coded and entered into Epi Data version 3.1 and then exported into STATA version 15 software for analysis. Kaplan-Meier and the log-rank test were done. Bivariable Cox-proportional regression was done, and a variable whose p-value was < 0.25 and fulfilled the proportional hazard assumption by using graphical and Shenfield residuals was entered into multivariable Cox-proportional regression. Finally, a variable whose p-value < 0.05 and adjusted hazard ratio with its CI were declared statistically significant predictors.

Result: In this study, the overall median survival time was 47 months (95% CI: 36.7, 56), with an incidence rate of death of 16.8 per 1000 people per month of observation (95% CI: 13.8-20.3). Age 64 and above (Adjusted Hazard Ration: 2.8; 95% CI: 1.67-4.98), catheter vascular access (Adjusted Hazard Ration: 3.47; 95% CI: 2.03-5.93), cardiovascular disease (Adjusted Hazard Ration: 1.88; 95% CI: 1.15-3.07), and blood group B (Adjusted Hazard Ration: 2.07; 95% CI: 1.17-3.69) were significant predictors of time to death among hemodialysis patients. CONCLUSION AND RECOMMENDATION: The median survival time was 47 months, with an interquartile range of 40. Cardiovascular disease, older adults, central venous catheters, and blood type B were significant predictors of time to death for hemodialysis patients. Therefore, in order to improve the survival of hemodialysis patients, health professionals and concerned bodies should give concern to and work on those predictors.

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来源期刊
BMC Nephrology
BMC Nephrology UROLOGY & NEPHROLOGY-
CiteScore
4.30
自引率
0.00%
发文量
375
审稿时长
3-8 weeks
期刊介绍: BMC Nephrology is an open access journal publishing original peer-reviewed research articles in all aspects of the prevention, diagnosis and management of kidney and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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