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预测输尿管结石患者的尿脓毒症:胡氏列线图的外部验证及新危险因素的识别

Predicting Urosepsis in Ureteral Calculi: External Validation of Hu's Nomogram and Identification of Novel Risk Factors.

作者信息

Sugizaki Yuka, Utsumi Takanobu, Ishitsuka Naoki, Noro Takahide, Suzuki Yuta, Iijima Shota, Somoto Takatoshi, Oka Ryo, Endo Takumi, Kamiya Naoto, Suzuki Hiroyoshi

机构信息

Department of Urology, Toho University Sakura Medical Center, Sakura 285-8741, Japan.

出版信息

Diagnostics (Basel). 2025 Apr 26;15(9):1104. doi: 10.3390/diagnostics15091104.

Abstract

: Acute obstructive pyelonephritis caused by ureteral calculi is a severe urological emergency that can rapidly progress to life-threatening complications, including urosepsis. Early risk stratification is critical for timely intervention and improved patient outcomes. Although Hu's nomogram has been proposed as a predictive tool for urosepsis, its external validation remains limited. This study aims to validate Hu's nomogram in an independent cohort and identify novel clinical and imaging predictors of urosepsis. : This retrospective cohort study included 341 patients diagnosed with ureteral calculi who underwent surgical intervention at a single institution between January 2019 and October 2023. Clinical, laboratory, and imaging data were collected. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of urosepsis. The predictive accuracy of Hu's nomogram was evaluated using receiver operating characteristic curve analysis. : Among 341 patients, 66 (19.4%) developed urosepsis. Multivariate analysis identified female gender, corticosteroid use, lower platelet count, elevated C-reactive protein levels, positive urine white blood cell count, lower computed tomography attenuation values of calculi, and higher computed tomography attenuation values of hydronephrosis as independent predictors of urosepsis. Hu's nomogram demonstrated a strong predictive performance (area under the curve: 0.761; 95% CI: 0.701-0.821), reaffirming its clinical utility for risk stratification. : This study provides an external validation of Hu's nomogram and identifies novel risk factors for urosepsis prediction, including corticosteroid use and imaging-based parameters. Incorporating these findings into clinical practice may enhance early risk stratification, facilitate timely interventions, and ultimately improve patient outcomes.

摘要

输尿管结石引起的急性梗阻性肾盂肾炎是一种严重的泌尿外科急症,可迅速进展为危及生命的并发症,包括尿脓毒症。早期风险分层对于及时干预和改善患者预后至关重要。虽然胡氏列线图已被提出作为尿脓毒症的预测工具,但其外部验证仍然有限。本研究旨在在一个独立队列中验证胡氏列线图,并确定尿脓毒症的新的临床和影像学预测因素。 这项回顾性队列研究纳入了2019年1月至2023年10月期间在一家机构接受手术干预的341例诊断为输尿管结石的患者。收集了临床、实验室和影像学数据。进行单因素和多因素逻辑回归分析以确定尿脓毒症的独立预测因素。使用受试者工作特征曲线分析评估胡氏列线图的预测准确性。 在341例患者中,66例(19.4%)发生了尿脓毒症。多因素分析确定女性性别、使用皮质类固醇、血小板计数较低、C反应蛋白水平升高、尿白细胞计数阳性、结石的计算机断层扫描衰减值较低以及肾积水的计算机断层扫描衰减值较高是尿脓毒症的独立预测因素。胡氏列线图显示出强大的预测性能(曲线下面积:0.761;95%可信区间:0.701-0.821),再次证实了其在风险分层中的临床实用性。 本研究对胡氏列线图进行了外部验证,并确定了尿脓毒症预测的新风险因素,包括皮质类固醇的使用和基于影像学的参数。将这些发现纳入临床实践可能会加强早期风险分层,促进及时干预,并最终改善患者预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677e/12072107/d3ce743ef75b/diagnostics-15-01104-g001.jpg

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