{"title":"Risk factors for urological infection after laparoscopic ureterolithotomy.","authors":"Xiaoliang Yuan, Hanping Wei, Xiaowu Liu, Zhimin Jiao, Tingchun Wu, Honglei Shi","doi":"10.62347/HNMG5196","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate and analyze the risk factors of urological infection after laparoscopic ureterolithotomy.</p><p><strong>Methods: </strong>In this retrospective study, 312 patients who underwent laparoscopic ureterolithotomy were included. Among them, 164 patients developed urological infection post-surgery. Key risk factors for urological infection were identified using univariate and multivariate regression analyses. A clinical nomogram was constructed based on these factors, and its predictive accuracy was assessed using the concordance index (C-index) and calibration plot.</p><p><strong>Results: </strong>Univariate and multivariate regression analyses identified age >75 years old (95% CI 0.007-0.340; P=0.002), operation time ≥60 min (95% CI 4.506-90.528; P<0.001), postoperative catheter indwelling time >7 days (95% CI 2.315-6.060; P<0.001), diabetes mellitus (95% CI 4.051-24.682; P<0.001), and hospital stay >7 days (95% CI 1.600-37.144; P=0.011) as independent risk factors for urological infection after laparoscopic ureterolithotomy. Those factors were used to construct a predictive nomogram. The regression model was established as: logit (P) = -6.820 + 0.216 * age + 0.312 * operation time + 0.661 * postoperative indwelling catheter time + 0.433 * diabetes mellitus + 0.671 * hospital stay. The calibration curve demonstrated excellent accuracy of the nomogram model. Decision curve analysis indicated that the model is clinically applicable for threshold probabilities ranging from 20% to 75%.</p><p><strong>Conclusions: </strong>Age >75 years old, operation time ≥60 min, postoperative indwelling catheter time >7 days, diabetes mellitus, and hospital stay >7 days are independent risk factors for urological infection after laparoscopic ureterolithotomy. Effective monitoring, management, and predictive measures for high-risk patients should significantly reduce the incidence of urological infection.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 2","pages":"1448-1458"},"PeriodicalIF":1.7000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11909557/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of translational research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.62347/HNMG5196","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To investigate and analyze the risk factors of urological infection after laparoscopic ureterolithotomy.
Methods: In this retrospective study, 312 patients who underwent laparoscopic ureterolithotomy were included. Among them, 164 patients developed urological infection post-surgery. Key risk factors for urological infection were identified using univariate and multivariate regression analyses. A clinical nomogram was constructed based on these factors, and its predictive accuracy was assessed using the concordance index (C-index) and calibration plot.
Results: Univariate and multivariate regression analyses identified age >75 years old (95% CI 0.007-0.340; P=0.002), operation time ≥60 min (95% CI 4.506-90.528; P<0.001), postoperative catheter indwelling time >7 days (95% CI 2.315-6.060; P<0.001), diabetes mellitus (95% CI 4.051-24.682; P<0.001), and hospital stay >7 days (95% CI 1.600-37.144; P=0.011) as independent risk factors for urological infection after laparoscopic ureterolithotomy. Those factors were used to construct a predictive nomogram. The regression model was established as: logit (P) = -6.820 + 0.216 * age + 0.312 * operation time + 0.661 * postoperative indwelling catheter time + 0.433 * diabetes mellitus + 0.671 * hospital stay. The calibration curve demonstrated excellent accuracy of the nomogram model. Decision curve analysis indicated that the model is clinically applicable for threshold probabilities ranging from 20% to 75%.
Conclusions: Age >75 years old, operation time ≥60 min, postoperative indwelling catheter time >7 days, diabetes mellitus, and hospital stay >7 days are independent risk factors for urological infection after laparoscopic ureterolithotomy. Effective monitoring, management, and predictive measures for high-risk patients should significantly reduce the incidence of urological infection.