Li Fan, Ai-fen Pan, Xinmei Zhang, Hui Dong, Zhengyu Jue, Xi Yuan, Liya Zhu
{"title":"建立和验证在全身麻醉下颈椎后路手术患者术中低温风险预测模型：一项双中心回顾性观察研究","authors":"Li Fan, Ai-fen Pan, Xinmei Zhang, Hui Dong, Zhengyu Jue, Xi Yuan, Liya Zhu","doi":"10.1111/ijn.70038","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Maintaining normal body temperature during operation is significant for the prognosis of surgical patients. The purpose of this study was to investigate the risk factors of hypothermia during posterior cervical surgery and establish a risk prediction model to facilitate the surgical team to identify high-risk patients before surgery.</p>\n </section>\n \n <section>\n \n <h3> Aim</h3>\n \n <p>The aim of this study was to establish and validate a predictive model for assessing intraoperative hypothermia risk in patients undergoing posterior cervical surgery under general anaesthesia.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>Retrospective cohort study.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This was a retrospective, two-centre, observational study conducted in the anaesthesia surgery departments of two tertiary Grade A hospitals. Patients who underwent posterior cervical surgery between January 1, 2018 and June 30, 2024 were included in our study. Based on the literature and working experience, the patient factors and surgical factors related to intraoperative hypothermia were selected. The predictive model of intraoperative hypothermia was constructed by pairings comparison, LASSO, logistic regression. The performance of the model was evaluated by correction curve, consistency index (C-index) and decision curve.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The incidence of intraoperative hypothermia in 818 patients in the modelling group was 32.8%. Of the initial 17 potential predictors, three variables were incorporated into the final predictive model: preoperative body temperature, preoperative serum albumin value, and preoperative white blood cell count. The C-index of the prediction model was 0.858 (95% CI: 0.827–0.887), the patient benefit rate was 0.08–0.83, and the C-index of the validation group was 0.824.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This study found that this prediction model can accurately predict the risk of intraoperative hypothermia in patients undergoing posterior cervical surgery and can therefore be used to improve patient safety intraoperatively.</p>\n </section>\n </div>","PeriodicalId":14223,"journal":{"name":"International Journal of Nursing Practice","volume":"31 4","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishment and Validation of an Intraoperative Hypothermia Risk Prediction Model in Patients Undergoing Posterior Cervical Surgery Under General Anaesthesia: A Two-Centre, Retrospective Observational Study\",\"authors\":\"Li Fan, Ai-fen Pan, Xinmei Zhang, Hui Dong, Zhengyu Jue, Xi Yuan, Liya Zhu\",\"doi\":\"10.1111/ijn.70038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Maintaining normal body temperature during operation is significant for the prognosis of surgical patients. The purpose of this study was to investigate the risk factors of hypothermia during posterior cervical surgery and establish a risk prediction model to facilitate the surgical team to identify high-risk patients before surgery.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Aim</h3>\\n \\n <p>The aim of this study was to establish and validate a predictive model for assessing intraoperative hypothermia risk in patients undergoing posterior cervical surgery under general anaesthesia.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Design</h3>\\n \\n <p>Retrospective cohort study.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This was a retrospective, two-centre, observational study conducted in the anaesthesia surgery departments of two tertiary Grade A hospitals. Patients who underwent posterior cervical surgery between January 1, 2018 and June 30, 2024 were included in our study. Based on the literature and working experience, the patient factors and surgical factors related to intraoperative hypothermia were selected. The predictive model of intraoperative hypothermia was constructed by pairings comparison, LASSO, logistic regression. The performance of the model was evaluated by correction curve, consistency index (C-index) and decision curve.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The incidence of intraoperative hypothermia in 818 patients in the modelling group was 32.8%. Of the initial 17 potential predictors, three variables were incorporated into the final predictive model: preoperative body temperature, preoperative serum albumin value, and preoperative white blood cell count. 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Establishment and Validation of an Intraoperative Hypothermia Risk Prediction Model in Patients Undergoing Posterior Cervical Surgery Under General Anaesthesia: A Two-Centre, Retrospective Observational Study
Background
Maintaining normal body temperature during operation is significant for the prognosis of surgical patients. The purpose of this study was to investigate the risk factors of hypothermia during posterior cervical surgery and establish a risk prediction model to facilitate the surgical team to identify high-risk patients before surgery.
Aim
The aim of this study was to establish and validate a predictive model for assessing intraoperative hypothermia risk in patients undergoing posterior cervical surgery under general anaesthesia.
Design
Retrospective cohort study.
Methods
This was a retrospective, two-centre, observational study conducted in the anaesthesia surgery departments of two tertiary Grade A hospitals. Patients who underwent posterior cervical surgery between January 1, 2018 and June 30, 2024 were included in our study. Based on the literature and working experience, the patient factors and surgical factors related to intraoperative hypothermia were selected. The predictive model of intraoperative hypothermia was constructed by pairings comparison, LASSO, logistic regression. The performance of the model was evaluated by correction curve, consistency index (C-index) and decision curve.
Results
The incidence of intraoperative hypothermia in 818 patients in the modelling group was 32.8%. Of the initial 17 potential predictors, three variables were incorporated into the final predictive model: preoperative body temperature, preoperative serum albumin value, and preoperative white blood cell count. The C-index of the prediction model was 0.858 (95% CI: 0.827–0.887), the patient benefit rate was 0.08–0.83, and the C-index of the validation group was 0.824.
Conclusion
This study found that this prediction model can accurately predict the risk of intraoperative hypothermia in patients undergoing posterior cervical surgery and can therefore be used to improve patient safety intraoperatively.
期刊介绍：
International Journal of Nursing Practice is a fully refereed journal that publishes original scholarly work that advances the international understanding and development of nursing, both as a profession and as an academic discipline. The Journal focuses on research papers and professional discussion papers that have a sound scientific, theoretical or philosophical base. Preference is given to high-quality papers written in a way that renders them accessible to a wide audience without compromising quality. The primary criteria for acceptance are excellence, relevance and clarity. All articles are peer-reviewed by at least two researchers expert in the field of the submitted paper.
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