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Chinese Journal of Endourology(Electronic Edition) ›› 2019, Vol. 13 ›› Issue (04): 246-250. doi: 10.3877/cma.j.issn.1674-3253.2019.04.008

Special Issue:

• Clinical Research • Previous Articles     Next Articles

Construction predictive model of urinary tract infection after retroperitoneal laparoscopic ureterolithotomy

Qiang Li1, Donghong Huang1, Gang Yu1(), Sizhong Liang1, Min Jie1   

  1. 1. Department of Urology, Zhongshan Torch Development Zone Hospital, Guangdong 528437, China
  • Received:2019-03-06 Online:2019-08-01 Published:2019-08-01
  • Contact: Gang Yu

Abstract:

Objective

To identify the risk factors of urinary tract in fection after retroperitoneal laparoscopic ureterolithotomy and to construct a nomogram for risk prediction.

Methods

The data of patients undergoing retroperitoneal laparoscopic ureterolithotomy in our hospital from May 2016 to December 2018 were analyzed retrospectively, and the information was processed by SPSS and R 3.5.1 software.

Results

210 patients including 118 males (56.2%) and 92 females (43.8%) met the inclusion criteria, and the median age was 50 years. There were 30 cases (14%) of urinary infection after operation, no serious complications such as urinary sepsis and septic shock occurred. Logistic regression analysis suggested that time of stone embedding, degree of hydronephrosis and whether diabetes mellitus were independent risk factors for postoperative infection. After constructing the nomogram, the C-index was 0.839 (95%CI=0.752,0.926), and the calibration curve for the probability of infection showed that the nomogram-based predictions were in good agreement with actual observations.

Conclusion

Time of stone embedding, degree of hydronephrosis and whether diabetes mellitus were independent risk factors for urinary infection after retroperitoneal laparoscopic ureterolithotomy, and the nomogram constructed by combined with the above factors can help to predict the risk of postoperative infection.

Key words: Retroperitoneoscopy, Urolithiasis, Infection, Nomogram

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