PDF(Pubmed)
Abstract：
UNASSIGNED: Postoperative hypothermia (POH) is a common issue in colorectal surgery patients, leading to complications. This study aimed to develop and validate a predictive model for identifying POH in colorectal surgery patients.
UNASSIGNED: A retrospective analysis of 1,316 patients who underwent colorectal surgery between June 2020 and September 2022 was conducted using institutional medical records. Intraoperative core temperatures and potential influencing factors were collected, and regression analysis was used to identify risk factors for POH and create a model. The model\'s performance was evaluated using the receiver operating characteristic curve analysis.
UNASSIGNED: Intraoperative hypothermia occurred in 51.5 % of patients. Significant predictors of POH included gender, alcohol consumption, surgery duration, platelet count, and age. The constructed model included factors like fluid intake, platelets, cigarette use, alcohol consumption, surgery type, muscle relaxants, age, ABSI, and gender. The model showed good predictive performance with an area under the ROC curve of 0.981 and a Hosmer-Lemeshow test p-value of 0.676. The Youden index, sensitivity, specificity, and practical application rate were 0.602, 0.790, 0.812, and 98.81 %, respectively.
UNASSIGNED: This study developed a predictive model for POH in colorectal surgery patients, considering individual factors and exploring underlying causes. Understanding risk factors and consequences of POH is crucial for nurses and perioperative professionals in clinical practice.
UNASSIGNED: A retrospective analysis of 1,316 patients who underwent colorectal surgery between June 2020 and September 2022 was conducted using institutional medical records. Intraoperative core temperatures and potential influencing factors were collected, and regression analysis was used to identify risk factors for POH and create a model. The model\'s performance was evaluated using the receiver operating characteristic curve analysis.
UNASSIGNED: Intraoperative hypothermia occurred in 51.5 % of patients. Significant predictors of POH included gender, alcohol consumption, surgery duration, platelet count, and age. The constructed model included factors like fluid intake, platelets, cigarette use, alcohol consumption, surgery type, muscle relaxants, age, ABSI, and gender. The model showed good predictive performance with an area under the ROC curve of 0.981 and a Hosmer-Lemeshow test p-value of 0.676. The Youden index, sensitivity, specificity, and practical application rate were 0.602, 0.790, 0.812, and 98.81 %, respectively.
UNASSIGNED: This study developed a predictive model for POH in colorectal surgery patients, considering individual factors and exploring underlying causes. Understanding risk factors and consequences of POH is crucial for nurses and perioperative professionals in clinical practice.
摘要：
■术后低温（POH）是结直肠手术患者的常见问题，导致并发症。本研究旨在开发和验证用于识别结直肠手术患者POH的预测模型。
■使用机构医疗记录对2020年6月至2022年9月期间接受结直肠手术的1,316例患者进行了回顾性分析。收集术中核心温度和潜在影响因素,回归分析用于确定POH的危险因素并建立模型。使用接收器工作特性曲线分析评估模型的性能。
■51.5%的患者发生术中低体温。POH的重要预测因素包括性别，酒精消费,手术持续时间,血小板计数,和年龄。构建的模型包括液体摄入量等因素，血小板,香烟使用,酒精消费,手术类型,肌肉松弛剂,年龄,ABSI,和性别。该模型显示出良好的预测性能，ROC曲线下面积为0.981，Hosmer-Lemeshow检验p值为0.676。Youden指数,灵敏度,特异性，实际应用率分别为0.602、0.790、0.812和98.81%，分别。
■这项研究建立了结直肠手术患者POH的预测模型，考虑个体因素，探索根本原因。了解POH的危险因素和后果对于临床实践中的护士和围手术期专业人员至关重要。
■使用机构医疗记录对2020年6月至2022年9月期间接受结直肠手术的1,316例患者进行了回顾性分析。收集术中核心温度和潜在影响因素,回归分析用于确定POH的危险因素并建立模型。使用接收器工作特性曲线分析评估模型的性能。
■51.5%的患者发生术中低体温。POH的重要预测因素包括性别，酒精消费,手术持续时间,血小板计数,和年龄。构建的模型包括液体摄入量等因素，血小板,香烟使用,酒精消费,手术类型,肌肉松弛剂,年龄,ABSI,和性别。该模型显示出良好的预测性能，ROC曲线下面积为0.981，Hosmer-Lemeshow检验p值为0.676。Youden指数,灵敏度,特异性，实际应用率分别为0.602、0.790、0.812和98.81%，分别。
■这项研究建立了结直肠手术患者POH的预测模型，考虑个体因素，探索根本原因。了解POH的危险因素和后果对于临床实践中的护士和围手术期专业人员至关重要。
