Analysis of influencing factors of major adverse cardiovascular events in maintenance hemodialysis patients
10.3760/cma.j.cn431274-20240216-00259
- VernacularTitle:维持性血液透析患者并发主要不良心血管事件的影响因素分析
- Author:
Ji FENG
1
;
Yibing SUN
1
;
Shuting LIU
1
;
Yifan WANG
1
;
Dongxia ZHAO
1
;
Xiaomeng HUANG
1
Author Information
1. 河北北方学院附属第一医院血液净化科，张家口 075000
- Publication Type:Journal Article
- Keywords:
Hemodialysis;
Major adverse cardiovascular events;
Risk factors
- From:
Journal of Chinese Physician
2025;27(1):52-56
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.
