Characteristics and determinants of clinical and laboratory indicators of hypoproteinemia in maintenance hemodialysis patients
10.3969/j.issn.1671-8348.2025.07.014
- VernacularTitle:维持性血液透析患者低蛋白血症的临床和检测指标特征及影响因素
- Author:
Wandong XU
1
;
Lianqun WANG
;
Chunhua WU
;
Feiyun WU
;
Bobo LI
;
Dan ZHU
;
Zumu ZHOU
Author Information
1. 温州医科大学附属康宁医院血液透析中心/浙江省精神心理疾病临床医学研究中心,浙江 温州 325007
- Keywords:
maintenance hemodialysis;
hypoproteinemia;
influencing factors;
logistic regression;
deci-sion tree
- From:
Chongqing Medicine
2025;54(7):1604-1610
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study influencing factors of hypoproteinemia in maintenance hemodialysis pa-tients.Methods A multicenter study was conducted.We selected 397 maintenance hemodialysis patients hos-pitalized at five hospitals of Wenzhou Kangning Hospital Group from April to June 2024 as study subjects.Pa-tients'general data and laboratory test results were collected.Logistic regression combined with the CHAID decision tree model was used to analyze indicators of hypoproteinemia in patients.Results Among 397 main-tenance hemodialysis patients,92 had hypoproteinemia(hypoproteinemia group),with a prevalence of 23.17%;others were assigned to the normal protein group.Statistically significant differences existed between groups in gender,age,occupation,education level,diabetes,vascular access type,insurance type,weight,Hb,blood calcium,blood phosphorus,blood potassium,blood glucose,parathyroid hormone,creatinine,blood urea,and cholesterol(P<0.05).Logistic regression showed occupation,insurance type,diabetes,Hb,and creatinine were independent influencing factors(P<0.05).The CHAID decision tree model identified age as the root node.Conclusion Occupation,insurance type,diabetes,Hb,age,and creatinine are important influencing fac-tors for hypoproteinemia in maintenance hemodialysis patients.Logistic regression combined with decision tree analysis can play complementary roles.
