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Background <p>Peritoneal dialysis catheter (PDC) dysfunction significantly impacts patient survival. While individual risk factors are known, a practical tool that integrates multi-dimensional predictors—including surgical, anatomical, and postoperative parameters—for early risk stratification is lacking. This study evaluates open versus laparoscopic catheterization techniques and aims to develop such a predictive model.</p> Methods <p>A retrospective cohort study analyzed 462 end-stage renal disease patients undergoing first PDC implantation (2022–2024). Data included clinical characteristics, surgical method (open/laparoscopic), and dysfunction events. Multivariate COX regression identified independent risk factors, and a nomogram was developed. Model performance was assessed via ROC and calibration curves, with Bootstrap validation.</p> Results <p>Among 462 patients (324 modeling, 138 validation) with a median follow-up of 30.7 months, laparoscopic catheterization was associated with a significantly lower risk of dysfunction compared to the open approach (18% vs. 27%; hazard ratio [HR] 2.188, 95% CI 1.263–3.791, <i>p</i> = 0.005). Multivariate analysis identified five independent predictors of catheter dysfunction: history of abdominal surgery (HR 6.924, <i>p</i> &lt; 0.001), open catheterization (HR 2.188, <i>p</i> = 0.005), diabetes (HR 2.373, <i>p</i> = 0.016), albumin &lt; 30&#xa0;g/L (HR 0.865, <i>p</i> &lt; 0.001), and blood potassium &lt; 4 mmol/L (HR 1.479, <i>p</i> = 0.015). The developed nomogram integrating these predictors showed outstanding discriminative performance, with C-indices of 0.953 (95% CI 0.940–0.967) in the modeling cohort and 0.951 (95% CI 0.929–0.972) in the validation cohort. Time-dependent ROC analysis further confirmed its predictive accuracy, with 1- and 2-year AUCs of 0.957/0.979 and 0.921/0.988 in the modeling and validation sets, respectively. Calibration curves showed close alignment between predicted and observed outcomes across both cohorts. The nomogram provides a clinically useful tool for individualized risk assessment and postoperative management.</p> Conclusions <p>Laparoscopic catheterization reduces dysfunction risk. The presented nomogram is unique in its integration of readily available surgical, comorbidity, and nutritional metrics into a single, visual tool. It facilitates early identification of high-risk patients, thereby aiding individualized surgical planning and targeted postoperative monitoring to improve PDC longevity.</p>

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Development and validation of a risk-based nomogram for predicting peritoneal dialysis catheter dysfunction in end-stage renal disease patients

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月19日

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  • Bin Zhao,
  • Shanshan Guo,
  • Wei Li,
  • Hongqing Shang,
  • Yutao Xing,
  • Jing Liu,
  • Yanwei Hu,
  • Yuzhu Wang,
  • Gang Fu

摘要

Background

Peritoneal dialysis catheter (PDC) dysfunction significantly impacts patient survival. While individual risk factors are known, a practical tool that integrates multi-dimensional predictors—including surgical, anatomical, and postoperative parameters—for early risk stratification is lacking. This study evaluates open versus laparoscopic catheterization techniques and aims to develop such a predictive model.

Methods

A retrospective cohort study analyzed 462 end-stage renal disease patients undergoing first PDC implantation (2022–2024). Data included clinical characteristics, surgical method (open/laparoscopic), and dysfunction events. Multivariate COX regression identified independent risk factors, and a nomogram was developed. Model performance was assessed via ROC and calibration curves, with Bootstrap validation.

Results

Among 462 patients (324 modeling, 138 validation) with a median follow-up of 30.7 months, laparoscopic catheterization was associated with a significantly lower risk of dysfunction compared to the open approach (18% vs. 27%; hazard ratio [HR] 2.188, 95% CI 1.263–3.791, p = 0.005). Multivariate analysis identified five independent predictors of catheter dysfunction: history of abdominal surgery (HR 6.924, p < 0.001), open catheterization (HR 2.188, p = 0.005), diabetes (HR 2.373, p = 0.016), albumin < 30 g/L (HR 0.865, p < 0.001), and blood potassium < 4 mmol/L (HR 1.479, p = 0.015). The developed nomogram integrating these predictors showed outstanding discriminative performance, with C-indices of 0.953 (95% CI 0.940–0.967) in the modeling cohort and 0.951 (95% CI 0.929–0.972) in the validation cohort. Time-dependent ROC analysis further confirmed its predictive accuracy, with 1- and 2-year AUCs of 0.957/0.979 and 0.921/0.988 in the modeling and validation sets, respectively. Calibration curves showed close alignment between predicted and observed outcomes across both cohorts. The nomogram provides a clinically useful tool for individualized risk assessment and postoperative management.

Conclusions

Laparoscopic catheterization reduces dysfunction risk. The presented nomogram is unique in its integration of readily available surgical, comorbidity, and nutritional metrics into a single, visual tool. It facilitates early identification of high-risk patients, thereby aiding individualized surgical planning and targeted postoperative monitoring to improve PDC longevity.