2026-10-09T12:16:53Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34039833 2026-10-01T05:43:30Z category_323 portal_316 item_type_3 month_year_10_2026

Data Sheet 1_Risk factors and prediction model for post-endoscopic lithotripsy infections.pdf Xiaotao Liang (4884361) Ziyong Lei (25153107) Yuxi Chen (830293) Wei Fang (116739) Ruming Liu (405706) Xiaoyu Liu (206872) Yizhe Yang (22821920) Lianhong Gao (25153110) Yongming Jiang (8069372) Surgery percutaneous nephrolithotomy predictive model systemic inflammatory response ureteroscopic lithotripsy urosepsis Objective<p>To identify independent risk factors for infectious complications (fever, SIRS, sepsis) after endoscopic lithotripsy and construct a multi-outcome hierarchical prediction model.</p>Methods<p>Retrospective study of 914 patients (n = 914). Primary analysis used multinomial logistic regression for sepsis; sensitivity analysis used binary logistic regression for fever and SIRS with backward elimination. Bootstrap validation, AUC, calibration (MAE), and DCA were performed.</p>Results<p>Primary analysis: positive urine culture (OR = 3.36), previous surgery (OR = 3.62), radiological signs of infection (OR = 4.02), and combined surgery (OR = 4.95) were independent risk factors for sepsis (AUC=0.794, MAE=0.008). Fever model: radiological signs and surgical modality (AUC=0.715). SIRS model: radiological signs and ULE+++ (OR = 5.1, AUC=0.73). DCA showed net clinical benefit for all three models.</p>Conclusion<p>The multi-outcome hierarchical model effectively predicts postoperative infection risk. Nomograms guide individualized perioperative interventions.</p> 2026-10-01T05:43:30Z Dataset Dataset 10.3389/fsurg.2026.1861286.s002 https://figshare.com/articles/dataset/Data_Sheet_1_Risk_factors_and_prediction_model_for_post-endoscopic_lithotripsy_infections_pdf/34039833 CC BY 4.0