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Abstract <p>Day surgery is critical for efficient healthcare delivery, but delayed discharge remains a key quality metric. This study investigates perioperative blood index changes during transurethral ureteroscopic laser lithotripsy (TULL) and constructs a risk prediction model for delayed discharge.&#xa0;A retrospective analysis of 526 TULL day surgery patients (2017–2021) compared normal (<i>n</i> = 412) and delayed discharge groups (<i>n</i> = 114). Blood indicators (WBC, Hb, Lymph#, Mono#, Neut#, Eos#) and clinical variables were analyzed. Logistic regression and ROC curves evaluated predictive factors.&#xa0;Delayed discharge was linked to longer operation time (OR = 1.024) and higher urine WBC (OR = 1.001), while Mono# showed protective effects (OR = 0.127). The model achieved an AUC of 0.710 (95% CI: 0.637–0.787), with strong calibration.&#xa0;The model enables early identification of high-risk patients, guiding interventions to reduce delayed discharge and improve day surgery management.</p>

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Perioperative changes of blood routine in daytime transurethral ureteroscopic laser lithotripsy and construction of a risk prediction model for delayed discharge

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月9日

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  • Huadi Yuan,
  • Liyan Gao,
  • Lina Chou,
  • Zhazha Lin,
  • Jiarong Sun,
  • Hao Zhang,
  • Wenjun Gao,
  • Bohan Wang

摘要

Abstract

Day surgery is critical for efficient healthcare delivery, but delayed discharge remains a key quality metric. This study investigates perioperative blood index changes during transurethral ureteroscopic laser lithotripsy (TULL) and constructs a risk prediction model for delayed discharge. A retrospective analysis of 526 TULL day surgery patients (2017–2021) compared normal (n = 412) and delayed discharge groups (n = 114). Blood indicators (WBC, Hb, Lymph#, Mono#, Neut#, Eos#) and clinical variables were analyzed. Logistic regression and ROC curves evaluated predictive factors. Delayed discharge was linked to longer operation time (OR = 1.024) and higher urine WBC (OR = 1.001), while Mono# showed protective effects (OR = 0.127). The model achieved an AUC of 0.710 (95% CI: 0.637–0.787), with strong calibration. The model enables early identification of high-risk patients, guiding interventions to reduce delayed discharge and improve day surgery management.