Simple model construction of arteriovenous fistula classification in maintenance hemodialysis patients
10.3760/cma.j.cn211501-20220129-00289
- VernacularTitle:维持性血液透析患者动静脉内瘘分级的简易模型构建
- Author:
Zhaohua ZOU
1
;
Wei QING
;
Liqun TANG
;
Zhen ZHANG
;
Maocai ZHU
Author Information
1. 德阳市人民医院血液净化中心，德阳 618000
- Keywords:
Classification;
Logistic models;
ROC curve;
Hemodialysis;
Arteriovenous fistula
- From:
Chinese Journal of Practical Nursing
2023;39(5):374-378
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct a simple model of arteriovenous fistula classification,and to achieve the classification of arteriovenous fistula in hemodialysis patients.Methods:The study was a retrospective analysis, a total of 304 hemodialysis patients with internal fistula in People′s Hospital of Deyang City from January 2016 to January 2021 were selected by convenience sampling method,depending on whether the internal fistula was dysfunctional, patients were divided into 64 in the internal fistula failure group and 240 in the internal fistula patency group. Independent influence factors and their regression coefficient were obtained by single-factor analysis and logistic regression analysis, The risk score formula was established based on the regression coefficient to form a simple model of internal fistula classification.The model was evaluated by receiver operating characteristic curve and the scoring criteria for internal fistula classification was determined.Results:Logistic regression analysis showed that diabetes mellitus, hypotension, age≥60 years old, compression time≥30 min, blood phosphorus>1.78 mmol/L, triglyceride>1.71 mmol/L and fibrinogen>4 g/L were independent influencing factors of internal fistula failure (all P<0.05).The area under the receiver operating characteristic curve was 0.858(95% CI 0.789-0.928, P<0.01), and the best critical value of the internal fistula classification was 7.5, the sensitivity was 80.4% and the specificity was 84.8%. Conclusions:By obtaining the predictors of internal fistula failure, conducted the risk score, and constructed a simple model of internal fistula classification, which can effectively predicted the risk of internal fistula failure. It is conducive to the implementation of internal fistula classification management and the puncture of corresponding grade, to ensure the pathway safety of patients.
