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术后住院患者胸腹引流管非计划拔管的预测模型:一项回顾性研究。

Prediction model for unplanned extubation of thoracoabdominal drainage tube in postoperative inpatients: a retrospective study.

作者信息

Sun Yushu, Li Xiuping, Xu Jia, Zhang Xiaojie, Gu Fanglei, Pan Hongying

机构信息

Nursing Department, Sir Run Run Shaw Hospital & Shanghai Artificial Intelligence Laboratory, Zhejiang University School of Medicine, Qingchun Road, Shangcheng District, Hangzhou, Zhejiang Province, China.

出版信息

Eur J Med Res. 2025 Jun 9;30(1):466. doi: 10.1186/s40001-025-02748-4.

Abstract

BACKGROUND

It is crucial to identify the risk factors for unplanned extubation (UEX) in thoracoabdominal drainage tubes as early as possible and establish applicable risk prediction model to reduce the incidence of UEX.

METHODS

A retrospective survey of patients who underwent Thoracoabdominal drainage tubes placement at a tertiary hospital was conducted in Zhejiang Province, China, between January 2020 and January 2023. A training set was established to build the predictive model and conduct internal validation, which was assessed for discrimination using ROC curves and for Calibration using the Hosmer-Lemeshow test and Calibration curves. A nomogram was constructed to visually present the results of the logistic regression analysis. An external validation dataset was created for assessing the external validation of the model.

RESULTS

a total of 2220 patients were enrolled. Multiple logistic regression analysis showed that negative pressure ball drainage, adhesive fixation method, self-care ability (self-care vs. complete dependence), self-care ability (partial dependence vs. complete dependence), and Thoracoabdominal drainage tubes were statistically significant factors associated with UEX (P < 0.05).The predictive model equation was as follows: a = 0.95-1.66 × drainage method + 2.45 × fixation method -4.17 × self-care ability (self-care vs. complete dependence) -2.79 × self- care ability (partial dependence vs. complete dependence).In the internal validation, the AUC was 0.897 (95% CI = 0.87-0.92; P < 0.001), with a sensitivity of 0.75 and specificity of 0.93, indicating a high level of discrimination for the model. The Hosmer-Lemeshow test yielded a chi-square (χ) value of 2.823 with 8 degrees of freedom and a P-value of 0.945, indicating high accuracy of the model. In the external validation, the AUC was 0.839 (95% CI = 0.75-0.93; P < 0.001), with a sensitivity of 0.73 and specificity of 0.96. The Hosmer-Lemeshow test yielded a χ value of 12.85 with 8 degrees of freedom and a P-value of 0.117. The DCA plot shows that the DCA curve is consistently higher than the two extreme curves, indicating a good fit of the model.

CONCLUSION

The predictive model for the risk of unplanned extubation of thoracoabdominal drainage tubes in postoperative patients demonstrates good discrimination and Calibration. It can provide reference for clinical nursing staff in predicting the risk and early development of personalized preventive strategies for drainage tube UEX.

摘要

背景

尽早识别胸腹腔引流管非计划拔管(UEX)的危险因素并建立适用的风险预测模型以降低UEX的发生率至关重要。

方法

对2020年1月至2023年1月在中国浙江省一家三级医院接受胸腹腔引流管置入的患者进行回顾性调查。建立一个训练集来构建预测模型并进行内部验证,使用ROC曲线评估其区分度,使用Hosmer-Lemeshow检验和校准曲线评估其校准度。构建列线图以直观呈现逻辑回归分析的结果。创建一个外部验证数据集以评估模型的外部验证情况。

结果

共纳入2220例患者。多因素逻辑回归分析显示,负压球引流、固定方法、自理能力(自理与完全依赖)、自理能力(部分依赖与完全依赖)以及胸腹腔引流管是与UEX相关的具有统计学意义的因素(P<0.05)。预测模型方程如下:a = 0.95 - 1.66×引流方法 + 2.45×固定方法 - 4.17×自理能力(自理与完全依赖) - 2.79×自理能力(部分依赖与完全依赖)。在内部验证中,AUC为0.897(95%CI = 0.87 - 0.92;P<0.001),灵敏度为0.75,特异度为0.93,表明该模型具有较高的区分度。Hosmer-Lemeshow检验得到的卡方(χ)值为2.823,自由度为8,P值为0.945,表明模型具有较高的准确性。在外部验证中,AUC为0.839(95%CI = 0.75 - 0.93;P<0.001),灵敏度为0.73,特异度为0.96。Hosmer-Lemeshow检验得到的χ值为12.85,自由度为8,P值为0.117。决策曲线分析(DCA)图显示DCA曲线始终高于两条极端曲线,表明模型拟合良好。

结论

术后患者胸腹腔引流管非计划拔管风险的预测模型具有良好的区分度和校准度。可为临床护理人员预测引流管UEX的风险及早期制定个性化预防策略提供参考。

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