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Chinese Journal of Clinicians(Electronic Edition) ›› 2026, Vol. 20 ›› Issue (01): 28-34. doi: 10.3877/cma.j.issn.1674-0785.2026.01.005

• Clinical Research • Previous Articles    

Predictors and a prediction model for difficult ureter in proximal ureteral calculi patients without pre-set stents

Ying Ni1, Tielong Zhang1, Gang Wang1, Yulong Gao1, Shaopeng Chen1, Jiaxuan Ni2,()   

  1. 1 Department of Urology, Jianhu Clinical Medical College of Yangzhou University, Yancheng 224700, China
    2 Department of Urology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China
  • Received:2025-11-27 Online:2026-01-30 Published:2026-05-08
  • Contact: Jiaxuan Ni

Abstract:

Objective

To develop and validate a predictive model for difficult ureter (DU), defined as the failure to advance an 8/9.8 Fr semi-rigid ureteroscope (sURS) retrogradely without auxiliary measures above the iliac vessel level, in patients with proximal ureteral stones without pre-stenting.

Methods

A retrospective single-center study was conducted to include 154 patients with proximal ureteral stones from July 2023 to June 2025at the Jianhu Clinical Medical College of Yangzhou University. Patients were stratified into DU (n=44) and non-DU (n=110) groups according to the aforementioned definition. Clinical and pre-operative CT parameters were analyzed. Independent predictors were identified via univariate and multivariate logistic regression to build a predictive model, which was then internally validated using Bootstrap resampling (1000 iterations).

Results

Four independent predictors were identified: stone anteroposterior diameter (odds ratio [OR]=0.737), the ratio of hydronephrosis width at the renal hilum to minimum stone diameter (OR=1.212), the difference in renal parenchyma CT value compared to the contralateral side (OR=1.069), and the thickness of the treated kidney (OR=0.942). The developed predictive model demonstrated good discrimination (area under the curve [AUC]=0.756; 95% confidence interval: 0.677~0.835) and calibration (Hosmer-Lemeshow test, P=0.113). Bootstrap validation confirmed parameter stability, yielding an optimism-corrected AUC of 0.74.

Conclusion

The predictive model developed in this study shows robust discriminative ability and stability. It can facilitate pre-operative identification of high-risk DU patients, optimizing surgical planning (e.g., preoperative stenting) to improve procedural efficacy and safety.

Key words: Difficult ureter, Ureteroscopy, Proximal ureteral stone, Risk factors, Prediction model

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