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腹膜透析患者全因死亡影响因素及风险模型构建

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目的 分析腹膜透析患者全因死亡影响因素,并构建患者全因死亡的风险模型.方法 回顾性收集2019年1月至2021年1月新乡市中心医院(新乡医学院第四临床学院)的355例腹膜透析患者临床资料,根据随访期间是否全因死亡分为病例组(80例)和对照组(275例),采用最近邻匹配法的倾向性评分(匹配条件:性别、腹膜透析时间、原发疾病)按照1∶3比例从对照组筛选出240例与病例组构成原始数据集,后将原始数据集按照7∶3比例分为训练集(224例)和验证集(96例),统计训练集患者临床资料、预后营养指数(PNI)、蛋白生化指标,Cox回归方程筛选影响因素,构建列线图模型行内部验证,并在验证集中行外部验证.结果 355例腹膜透析患者中有22.54%患者全因死亡,77.46%患者存活;训练集中两组年龄、体重指数(BMI)、PNI评分、血红蛋白(Hb)、白蛋白(ALB)、前白蛋白(PA)、转铁蛋白(TF)、尿酸(UA)比较,差异有统计学意义(P<0.05);Cox回归显示,年龄、PNI评分、ALB、Hb、UA是腹膜透析患者全因死亡的影响因素(P<0.05);基于以上因素构建列线图预测模型,训练集和验证集校准曲线、受试者工作特征(ROC)曲线、决策曲线含PNI、蛋白生化指标的列线图模型具有较好预测能力和临床附加收益.结论 腹膜透析患者全因死亡影响因素为年龄、PNI评分、ALB、Hb、UA,基于年龄、PNI评分、ALB、Hb、UA构建的列线图预测模型具有较高预测价值和临床适用性.
Influencing Factors for All-Cause Mortality in Peritoneal Dialysis Patients and Construction of Risk Models
Objective To analyze the influencing factors of all-cause mortality in peritoneal dialysis patients and construct a risk model for all-cause mortality in patients.Methods The clinical data of 355 patients with peritoneal dialysis in Xinxiang Central Hospital(the Fourth Clinical College of Xinxiang Medical College)from January 2019 to January 2021 were retrospectively collected,and they were divided into case group(80 cases)and control group(275 cases)according to whether all-cause death occurred during the follow-up period.The tendency score of nearest neighbor matching method was used(matching condition:gender,peritoneal dialysis time,and primary disease)were selected from the control group and case group at a ratio of 1∶3 to form the original data set,and the original data set was divided into a training set(224 cases)and a validation set(96 cases)at a ratio of 7∶3.Clinical data,prognostic nutritional index(PNI)and protein biochemical indexes of patients in the training set were analyzed,and influencing factors were screened by Cox regression equation.Build the internal validation of the nomogram model row and the external validation in the validation set.Results Among 355 patients with peritoneal dialysis,22.54%died of all causes and 77.46%survived.The age,body mass index(BMI),PNI score,hemoglobin(Hb),albumin(ALB),prealbumin(PA),transferrin(TF),and uric acid(UA)of the two groups in the training set were compared,and the differences were statistically significant(P<0.05).Cox regression showed that age,PNI score,ALB,Hb,UA were the influencing factors of all-cause death in peritoneal dialysis patients(P<0.05).Based on the above factors,the nomogram prediction model was constructed.The nomogram model with PNI and protein biochemical indexes in training set and validation set calibration curve,ROC curve and decision curve had better predictive ability and added clinical benefits.Conclusion The influencing factors for all-cause mortality in peritoneal dialysis patients are age,PNI score,ALB,Hb,UA.The column chart prediction model based on age,PNI score,ALB,Hb,UA has high predictive value and clinical applicability.

prognostic nutritional indexprotein biochemical indexperitoneal dialysisall-cause deathrisk model

刘志超、窦现凤、赵海灵

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新乡市中心医院(新乡医学院第四临床学院)临床营养科,河南新乡 453000

新乡市中心医院(新乡医学院第四临床学院)妇科肿瘤,河南新乡 453000

预后营养指数 蛋白生化指标 腹膜透析 全因死亡 风险模型

2024

河南医学研究
河南省医学科学院

河南医学研究

影响因子:0.979
ISSN:1004-437X
年,卷(期):2024.33(6)
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