Prognostic Features for Overall Survival in Male Diabetic Patients Undergoing Hemodialysis Using Elastic Net Penalized Cox Regression; A Machine Learning Approach.

IF 1 4区 医学 Q3 MEDICINE, GENERAL & INTERNAL Archives of Iranian Medicine Pub Date : 2025-01-01 DOI:10.34172/aim.27746
Mehrdad Sharifi, Razieh Sadat Mousavi-Roknabadi, Vahid Ebrahimi, Robab Sadegh, Afsaneh Dehbozorgi, Seyed Rouhollah Hosseini-Marvast, Mojtaba Mokdad
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引用次数: 0

Abstract

Background: Diabetics constitute a significant percentage of hemodialysis (HD) patients with higher mortality, especially among male patients. A machine learning algorithm was used to optimize the prediction of time to death in male diabetic hemodialysis (MDHD) patients.

Methods: This multicenter retrospective study was conducted on adult MDHD patients (2011-2019) from 34 HD centers affiliated with Shiraz University of Medical Sciences. As a special type of machine learning approach, an elastic net penalized Cox proportional hazards (EN-Cox) regression was used to optimize a predictive regression model of time to death. To maximize the generalizability and simplicity of the final model, the backward elimination method was used to reduce the estimated predictive model to its core covariates.

Results: Out of 442 patients, 308 eligible cases were used in the final analysis. Their death proportion was estimated to be 28.2%. The estimated overall one-, two-, three-, and eight-year survival rates were 87.6%, 74.4%, 67.2%, and 53.9%, respectively. The EN-Cox regression model retained 14 (out of 35) candidate predictors of death. Five variables were excluded through backward elimination technique in the next step. Only 6 of the remaining 9 variables were statistically significant at the level of 5%. Body mass index (BMI)<25 kg/m2 (HR=2.75, P<0.001), vascular access type (HR=2.60, P<0.001), systolic blood pressure (1.02, P=0.003), hemoglobin (11≤Hb≤12.5 g/dL: HR=3.00, P=0.028 and Hb<11 g/dL: HR=2.95, P=0.021), dialysis duration in each session≥4hour (HR=2.95, P<0.001), and serum high-density lipoprotein cholesterol (HDL-C) (HR=1.02, P=0.022) had significant effects on the overall survival (OS) time.

Conclusion: Anemia, hypotension, hyperkalemia, having central venous catheter (CVC) as vascular access, a longer dialysis duration in each session, lower BMI and HDL-C were associated with lower mortality in MDHD patients.

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背景:糖尿病患者在血液透析(HD)患者中占很大比例,死亡率较高,尤其是男性患者。本研究采用机器学习算法来优化男性糖尿病血液透析(MDHD)患者的死亡时间预测:这项多中心回顾性研究的对象是设拉子医科大学下属 34 个血液透析中心的成年 MDHD 患者(2011-2019 年)。作为一种特殊的机器学习方法,该研究使用了弹性网惩罚性 Cox 比例危险(EN-Cox)回归来优化死亡时间的预测回归模型。为了最大限度地提高最终模型的普适性和简易性,采用了反向消除法将估计的预测模型减少到核心协变量:在 442 名患者中,有 308 个符合条件的病例被用于最终分析。他们的死亡比例估计为 28.2%。估计的一年、两年、三年和八年总生存率分别为 87.6%、74.4%、67.2% 和 53.9%。EN-Cox回归模型保留了14个(共35个)候选死亡预测因子。在下一步中,通过后向剔除技术排除了 5 个变量。其余 9 个变量中只有 6 个在 5%的水平上具有统计学意义。体重指数(BMI)2(HR=2.75,PPP=0.003)、血红蛋白(11≤Hb≤12.5 g/dL:HR=3.00,P=0.028,HbP=0.021)、每次透析时间≥4小时(HR=2.95,PP=0.022)对总生存(OS)时间有显著影响:结论:贫血、低血压、高钾血症、使用中心静脉导管(CVC)作为血管通路、每次透析持续时间较长、较低的体重指数(BMI)和高密度脂蛋白胆固醇(HDL-C)与MDHD患者较低的死亡率有关。
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来源期刊
Archives of Iranian Medicine
Archives of Iranian Medicine 医学-医学:内科
CiteScore
4.20
自引率
0.00%
发文量
67
审稿时长
3-8 weeks
期刊介绍: Aim and Scope: The Archives of Iranian Medicine (AIM) is a monthly peer-reviewed multidisciplinary medical publication. The journal welcomes contributions particularly relevant to the Middle-East region and publishes biomedical experiences and clinical investigations on prevalent diseases in the region as well as analyses of factors that may modulate the incidence, course, and management of diseases and pertinent medical problems. Manuscripts with didactic orientation and subjects exclusively of local interest will not be considered for publication.The 2016 Impact Factor of "Archives of Iranian Medicine" is 1.20.
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