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制定并验证了一个列线图,用于预测全身麻醉下进行焦痂切除术中成年烧伤患者发生低体温的风险。

Development and validation of a nomogram to predict hypothermia in adult burn patients during escharectomy under general anesthesia.

机构信息

Burn Department, Ningbo No. 2 Hospital, No. 41 Northwest Street, Haishu District, Ningbo 315010, Zhejiang Province, China.

Burn Department, Ningbo No. 2 Hospital, No. 41 Northwest Street, Haishu District, Ningbo 315010, Zhejiang Province, China.

出版信息

Burns. 2024 Feb;50(1):93-105. doi: 10.1016/j.burns.2023.06.010. Epub 2023 Jun 22.

Abstract

BACKGROUND

It is very common for burn patients to have hypothermia during escharectomy under general anesthesia, which increases the blood transfusion demand of burn patients, and may lead to blood coagulation disorder or even increase the mortality of patients. It is important to predict the occurrence of hypothermia in advance, but we lack a prognostic prediction model. Our study aimed to develop a nomogram to predict the incidence of hypothermia in adult burn patients undergoing escharectomy under general anesthesia to intervention the hazards associated with hypothermia early.

METHODS

This retrospective study included 978 adult burn patients who underwent simple escharectomy under general anesthesia during hospitalization between January 2017 and December 2022, they were further divided into a training cohort and a validation cohort. The clinical data were recorded in electronic medical record system and a self-made collection table of intraoperative hypothermia. The preliminary predictive factors for hypothermia which undergoing simple escharectomy under general anesthesia in burn patients were determined using least absolute shrinkage and selection operator (LASSO) at first, then the final predictive factors determined using binary logistic regression analyses and a nomogram to predict the occurrence of hypothermia was established. The index of concordance(C-index), calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the performance of the model.

RESULTS

A total of 211 patients with hypothermia and 767 patients without hypothermia were selected. Least absolute shrinkage and selection operator regression analysis and binary logistic regression results concluded that burn index, urinary volume, blood transfusion volume and irrigation volume were significantly associated with hypothermia in burn patients undergoing escharectomy under general anesthesia. The nomogram based on these four variables had good predictive efficiency for hypothermia in adult burn patients during escharectomy under general anesthesia, the C-index in the training cohort was 0.903, areas under the receiver operating characteristic curves (AUROC) of for the training cohort (95 % CI 0.877-0.920) and 0.875 for the validation cohort (95 % CI 0.852-0.897) indicated satisfactory discriminative ability of the nomogram, and the calibration curves for the training cohort and the validation cohort also fit as well, indicating that the nomogram had good clinical application value.

CONCLUSIONS

Hypothermia in burn patients during escharectomy under general anesthesia is associated with burn index, urinary volume, blood transfusion volume and irrigation volume. We successfully developed a practical nomogram to accurately predict hypothermia, which is a practical method helping clinicians rapidly and conveniently diagnose and guide the treatment of hypothermia in burn patients during escharectomy under general anesthesia.

摘要

背景

全麻下切痂术的烧伤患者常发生低体温,增加烧伤患者的输血需求,可能导致凝血功能障碍,甚至增加患者死亡率。提前预测低体温的发生非常重要,但我们缺乏预后预测模型。本研究旨在建立一个列线图,以预测成人烧伤患者全麻下切痂术低体温的发生率,以便早期干预低体温相关危害。

方法

本回顾性研究纳入了 2017 年 1 月至 2022 年 12 月期间在我院住院期间行单纯全麻下切痂术的 978 例成年烧伤患者,进一步分为训练队列和验证队列。临床数据记录在电子病历系统和自制的术中低体温采集表中。首先使用最小绝对收缩和选择算子(LASSO)确定全麻下切痂术烧伤患者低体温的初步预测因素,然后使用二元逻辑回归分析和列线图确定最终预测因素,以预测低体温的发生。使用一致性指数(C 指数)、校准曲线、接收者操作特征(ROC)曲线和决策曲线分析(DCA)评估模型的性能。

结果

共选择了 211 例低体温患者和 767 例无低体温患者。最小绝对收缩和选择算子回归分析和二元逻辑回归结果表明,烧伤指数、尿量、输血量和灌洗量与全麻下切痂术烧伤患者的低体温显著相关。基于这四个变量的列线图对全麻下切痂术成人烧伤患者低体温具有良好的预测效率,训练队列的 C 指数为 0.903,训练队列的受试者工作特征曲线(AUC)面积(95%CI 0.877-0.920)和验证队列的 AUC 为 0.875(95%CI 0.852-0.897),表明列线图具有良好的判别能力,训练队列和验证队列的校准曲线拟合情况也较好,表明该列线图具有良好的临床应用价值。

结论

全麻下切痂术的烧伤患者发生低体温与烧伤指数、尿量、输血量和灌洗量有关。我们成功开发了一种实用的列线图,可以准确预测低体温,这是一种帮助临床医生快速、方便地诊断和指导全麻下切痂术烧伤患者低体温治疗的实用方法。

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