Identification of Effective Factors on the Survival of Hemodialysis Patients Using the LASSO-Cox Approach

Shideh Rafati, L. Hassani, M. Tamaddondar, A. Sabili
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Abstract

Background: Hemodialysis is a method for removing excess fluid and uremic waste from the body of chronic renal failure (CRF) patients. It stops death in patients with CRF. Various factors can affect the survival of patients undergoing hemodialysis treatment. The current study aimed to determine some factors affecting hemodialysis patients’ survival using the LASSO-Cox approach. Methods: This cross-sectional study examined 252 patients undergoing hemodialysis from 2010 to 2016 in all hospitals of Bandar Abbas, Iran, whose data had been recorded in the hemodialysis unit, or it was possible to obtain their files. The Cox model under the LASSO variable selection technique (LASSO-Cox) was applied for data analysis. The collected data were analyzed using SPSS 23.0 (IBM) software and glmnet and survival packages in R software, version 3.5.1. Results: Overall, 35 (13.9%) death events were observed in this study. The mean follow-up time of 252 patients was equal to 10.93±7.82 years. Based on the results of the Cox-Lasso method, the risk of mortality for patients with a diploma was 49% lower than that of the illiterate group (HR=0.51; 95% CI: 0.02, 0.57; P=0.021). The risk of death for unemployed patients and farmers was 0.66 (HR=1.66; 95% CI: 1.51, 25.79; P=0.004) and 0.29 (HR=1.29; 95% CI: 1.14, 27.40; P=0.005) higher than that of employees, respectively. Further, by an increase in the frequency of dialysis per week, the risk of death was reduced by 0.34 (HR=0.66; 95% CI: 0.04, 0.82; P=0.022), and one unit increase in the duration of dialysis per hour increased the risk of death by 2.23 times (HR=2.23; 95% CI: 1.41, 27.1; P=0.010). Conclusion: Education level, job, frequency of hemodialysis per week, and duration of hemodialysis per hour were the most important variables in the survival of hemodialysis patients. As a result, it seems that more education for nurses working in hemodialysis wards and the involved patients can be useful to heed the recommendations of physicians in terms of the required duration for hemodialysis per hour and the number of sessions per week.
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使用LASSO-Cox方法识别影响血液透析患者生存的有效因素
背景:血液透析是一种清除慢性肾功能衰竭(CRF)患者体内多余液体和尿毒症废物的方法。它能阻止慢性肾功能衰竭患者的死亡。多种因素可影响血液透析治疗患者的生存。本研究旨在利用LASSO-Cox方法确定影响血液透析患者生存的一些因素。方法:本横断面研究对伊朗阿巴斯港所有医院2010 - 2016年进行血液透析的252例患者进行了调查,这些患者的资料在血液透析部门有记录,或者有可能获得他们的档案。采用LASSO变量选择技术下的Cox模型(LASSO-Cox)进行数据分析。采用SPSS 23.0 (IBM)软件和R软件中3.5.1版本的glmnet和生存包对收集的数据进行分析。结果:本研究共观察到35例(13.9%)死亡事件。252例患者平均随访时间为10.93±7.82年。根据Cox-Lasso方法的结果,拥有文凭的患者的死亡风险比文盲组低49% (HR=0.51;95% ci: 0.02, 0.57;P = 0.021)。失业患者和农民的死亡风险为0.66 (HR=1.66;95% ci: 1.51, 25.79;P=0.004)和0.29 (HR=1.29;95% ci: 1.14, 27.40;P=0.005)高于员工。此外,每周透析次数的增加,死亡风险降低了0.34 (HR=0.66;95% ci: 0.04, 0.82;P=0.022),每小时透析时间每增加一个单位,死亡风险增加2.23倍(HR=2.23;95% ci: 1.41, 27.1;P = 0.010)。结论:文化程度、职业、每周血液透析次数、每小时血液透析时间是影响血液透析患者生存的最重要因素。因此,对在血液透析病房工作的护士和相关患者进行更多的教育,以听取医生关于每小时血液透析所需持续时间和每周次数的建议,似乎是有用的。
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