Risk factors for hypothermia after transurethral holmium laser enucleation of the prostate and development of a nomogram model.
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: Postoperative hypothermia is a common clinical complication with a high incidence rate, potentially adversely affecting postoperative recovery. Transurethral holmium laser enucleation of the prostate (HoLEP) is a minimally invasive procedure for benign prostatic hyperplasia (BPH). Offering advantages such as minimal bleeding, broad indications, and rapid postoperative recovery. However, research on risk factors for postoperative hypothermia following HoLEP remains limited, and predictive models for guiding clinical practice are lacking. This study aims to develop a predictive model for assessing the risk of postoperative hypothermia in HoLEP patients and to identify relevant risk factors. METHODS: Clinical data from patients who underwent HoLEP at affiliated Hospital of Shandong Second Medical University were retrospectively collected. Patients were categorized into a hypothermia group and a non-hypothermia group based on whether postoperative hypothermia occurred. Preoperative, intraoperative, and postoperative indicators were compared between the 2 groups. Least absolute shrinkage and selection operator (LASSO) regression combined with logistic regression analysis was used to analyze clinical data. A predictive model for assessing the risk of postoperative hypothermia after HoLEP was constructed and internally validated using bootstrap resampling. RESULTS: 0.787 to 0.865). The calibration curve demonstrated good consistency between predicted and observed outcomes. Decision curve analysis showed that the nomogram provided greater clinical utility when the risk threshold for postoperative hypothermia was between 8% and 97%. CONCLUSIONS: This study developed a nomogram model for predicting the risk of postoperative hypothermia in HoLEP patients, providing clinicians with a simple and effective predictive tool for individualized risk assessment and preoperative decision-making.
Source: PubMed
Authors: Jun Jiang, Shuo Feng, Yingui Sun, Yan An
Language: English
Subfield: Urology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4409148464