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An Orthotopic Model of Murine Bladder Cancer
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Risk Factors and Predictive Model for Peripherally Inserted Central Catheter Tip Migration in Patients With Bladder

Keke Zheng1, Xiaowan Cui1, Yan Liu1

  • 1PICC Clinic, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), 266000 Qingdao, Shandong, China.

Archivos Espanoles De Urologia
|April 7, 2026
PubMed
Summary
This summary is machine-generated.

This study identified key risk factors for peripherally inserted central catheter (PICC) tip migration in bladder cancer patients. A predictive model was developed to aid in early detection and management of high-risk cases.

Keywords:
bladder cancercatheter tip migrationperipherally inserted central catheterpredictive modelrisk factors

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Area of Science:

  • Oncology
  • Medical Devices
  • Data Science

Background:

  • Bladder cancer patients often require peripherally inserted central catheters (PICCs) for chemotherapy.
  • PICC tip migration is a complication that can affect treatment efficacy and patient safety.
  • Accurate risk stratification is needed for proactive management of PICC-related complications.

Purpose of the Study:

  • To develop a predictive model for assessing the risk of PICC tip migration in bladder cancer patients.
  • To identify independent risk factors associated with PICC tip migration.
  • To facilitate early detection and tailored management of high-risk patients.

Main Methods:

  • Retrospective analysis of 280 bladder cancer patients undergoing PICC placement.
  • Identification of risk factors using univariate, LASSO, and multivariate logistic regression.
  • Construction and evaluation of predictive models including random forest, SVM, and KNN, with performance assessed by AUC, calibration curves, and DCA.

Main Results:

  • Body mass index (BMI), abnormal catheter tip position, catheter indwelling duration, number of puncture attempts, and range of motion were identified as independent risk factors.
  • The random forest model achieved an AUC of 0.768 (training) and 0.738 (validation).
  • SHAP analysis highlighted range of motion, BMI, and catheter indwelling duration as primary contributors to migration risk.

Conclusions:

  • BMI, abnormal catheter tip position, number of puncture attempts, range of motion, and catheter indwelling duration are significant risk factors for PICC tip migration in bladder cancer patients.
  • The developed risk prediction model shows significant clinical utility for identifying patients at high risk of PICC tip migration.