Prognostic nomogram for the patency of wrist autologous arteriovenous fistula in first year

Autologous arteriovenous fistula (AVF) is preferred in hemodialysis patients. Maintaining its patency is a critical problem. This study aimed to create a nomogram model for predicting 1-year primary patency of AVF. Consequently, a total of 414 patients were retrospectively enrolled and randomly allocated to training and validation cohorts. Risk factors were identified by multivariable logistic regression and used to create a nomogram model. Performance of the model was evaluated by receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test, and calibration curve. The results suggested that diameter of cephalic vein, low-density lipoprotein, glycosylated hemoglobin (%), and C-reactive protein were risk factors which could predict the patency of AVF. Area under ROC curves for training and validation cohorts were 0.771 and 0.794, respectively. Calibration ability was satisfactory in both cohorts. Therefore, present nomogram model could predict the 1-year primary patency of AVF.

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Publication Details

Journal
iScience
Published
2024-08-15
DOI
https://doi.org/10.1016/j.isci.2024.110727
Citations
2
Primary Topic
Vascular Procedures and Complications
Type
article
Field-Weighted Citation Impact
0.84

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article

Prognostic nomogram for the patency of wrist autologous arteriovenous fistula in first year

Jukun Wang, J.‐M. Yang, Linzhong Zhu, Yu Li et al.
2 citations
iScience
Vascular Procedures and Complications
0.84
article

Prognostic nomogram for the patency of wrist autologous arteriovenous fistula in first year

Jukun Wang, J.‐M. Yang, Linzhong Zhu, Yu Li, Yue Chen, Tao Luo, Chunjing Bian, Wenhao Cui, Chao Zhang
article en
2 citations

Abstract

Autologous arteriovenous fistula (AVF) is preferred in hemodialysis patients. Maintaining its patency is a critical problem. This study aimed to create a nomogram model for predicting 1-year primary patency of AVF. Consequently, a total of 414 patients were retrospectively enrolled and randomly allocated to training and validation cohorts. Risk factors were identified by multivariable logistic regression and used to create a nomogram model. Performance of the model was evaluated by receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test, and calibration curve. The results suggested that diameter of cephalic vein, low-density lipoprotein, glycosylated hemoglobin (%), and C-reactive protein were risk factors which could predict the patency of AVF. Area under ROC curves for training and validation cohorts were 0.771 and 0.794, respectively. Calibration ability was satisfactory in both cohorts. Therefore, present nomogram model could predict the 1-year primary patency of AVF.

iScienceVol. 27(9)
Capital Medical University (CN), Aerospace Center Hospital (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 25%
Vascular Procedures and Complications
0.84
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