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经皮肾镜碎石术后尿脓毒症预测模型的构建与验证。

Construction and validation of the nomogram predictive model for post-percutaneous nephrolithotomy urinary sepsis.

机构信息

Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.

Surgery, Guizhou Orthopaedic Hospital, Guiyang, China.

出版信息

World J Urol. 2024 Mar 13;42(1):135. doi: 10.1007/s00345-024-04828-2.

Abstract

OBJECTIVE

This study aimed to construct and validate a simple and accurate clinical nomogram for predicting the occurrence of post-percutaneous nephrolithotomy sepsis, aiming to assist urologists in the early identification, warning, and early intervention of urosepsis, and to provide certain evidence-based medicine basis.

METHODS

This study included patients who underwent PCNL surgery due to kidney or upper ureteral stones at the Department of Urology, Affiliated Hospital of Zunyi Medical University, from January 2019 to September 2022. This study utilized univariate and multivariate logistic regression analysis to screen and evaluate the risk factors for sepsis and construct a predictive model. An evaluation was performed using the receiver operating characteristic curve, calibration curve, and decision curve analysis curve. All statistical analyses were conducted using R version 4.2.

RESULTS

A total of 946 patients who underwent post-PCNL were included in this study, among whom 69 patients (7.29%) developed post-PCNL urinary sepsis. Multiple-factor logistic regression analysis identified four independent risk factors associated with post-PCNL urinary sepsis, including positive urinary nitrite (OR = 5.9, P < 0.001), positive urine culture (OR = 7.54, P < 0.001), operative time ≥ 120 min (OR = 20.93, P = 0.0052), and stone size ≥ 30 mm (OR = 13.81, P = 0.0015). The nomogram model demonstrated good accuracy with an AUC value of 0.909, and in the validation cohort, the AUC value was 0.922. The calibration curve indicated a better consistency between the predictive line chart and the actual occurrence of post-PCNL urinary sepsis. The decision curve analysis curve showed favorable clinical utility.

CONCLUSION

Preoperative positive urine culture, positive urinary nitrite, operative time ≥ 120 min, and stone size ≥ 30 mm are independent risk factors for developing post-PCNL urinary sepsis. The constructed line chart based on these factors effectively assesses the risk of urinary sepsis in patients after PCNL.

摘要

目的

本研究旨在构建并验证一种简单且准确的临床列线图,用于预测经皮肾镜碎石术后脓毒症的发生,旨在帮助泌尿科医生早期识别、预警尿脓毒症,并进行早期干预,为提供一定的循证医学依据。

方法

本研究纳入了 2019 年 1 月至 2022 年 9 月遵义医科大学附属医院泌尿外科因肾结石或上段输尿管结石行 PCNL 手术的患者。本研究采用单因素和多因素 logistic 回归分析筛选和评估脓毒症的危险因素,并构建预测模型。采用受试者工作特征曲线、校准曲线和决策曲线分析曲线进行评估。所有统计分析均使用 R 版本 4.2 进行。

结果

本研究共纳入 946 例行 PCNL 术后的患者,其中 69 例(7.29%)发生 PCNL 术后尿脓毒症。多因素 logistic 回归分析确定了与 PCNL 术后尿脓毒症相关的四个独立危险因素,包括尿亚硝酸盐阳性(OR=5.9,P<0.001)、尿培养阳性(OR=7.54,P<0.001)、手术时间≥120 min(OR=20.93,P=0.0052)和结石大小≥30 mm(OR=13.81,P=0.0015)。列线图模型的准确性较高,AUC 值为 0.909,在验证队列中,AUC 值为 0.922。校准曲线表明预测线图与 PCNL 术后尿脓毒症的实际发生情况具有较好的一致性。决策曲线分析曲线显示该模型具有较好的临床实用性。

结论

术前尿培养阳性、尿亚硝酸盐阳性、手术时间≥120 min 和结石大小≥30 mm 是 PCNL 术后发生尿脓毒症的独立危险因素。基于这些因素构建的列线图可有效评估 PCNL 术后患者发生尿脓毒症的风险。

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