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预测小儿非疼痛性诊断操作中鼻内给予右美托咪定镇静成功率的列线图:一项回顾性研究

Nomogram for predicting the success rate of sedation with intranasal dexmedetomidine in paediatric nonpainful diagnostic procedures: a retrospective study.

作者信息

Lin Huatian, Gao Lihua, Cui Ningning, Liao Guangwu, Wang Xueqing, Peng Taohua, Xie Yuetao

机构信息

Department of Anesthesiology, Shenzhen Children's Hospital, Yitian Road 7019, Shenzhen, 518038, China.

出版信息

Sci Rep. 2025 Sep 29;15(1):33430. doi: 10.1038/s41598-025-18931-w.

Abstract

Intranasal dexmedetomidine (IN DEX) is being increasingly used for sedation in children undergoing nonpainful diagnostic procedures. Successful procedural sedation facilitates rapid and accurate clinical diagnosis and treatment, thereby improving clinical management efficiency. As the success rate of sedation is influenced by multiple factors, enhancing sedation success, reducing procedure-related risks, and minimizing adverse events are critical clinical priorities. In this study, children aged 12-72 months (1-6 years) who underwent outpatient examinations requiring sedation with IN DEX were included. Data were extracted from the electronic medical records system of the outpatient sedation suite. The training dataset was analysed using least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression to develop a nomogram-based clinical predictive model. Model performance was evaluated via receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA), with validation performed using a separate validation dataset. The developed nomogram, which incorporates napping before sedation, respiratory diseases, snotty before sedation, neurological diseases, sedation history, sedation duration, and sedation method, exhibited moderate predictive value (AUC = 0.833), favourable calibration, and enhanced clinical benefit. This study establishes a clinical prediction nomogram that can assist anaesthesiologists in the outpatient sedation suite to customize and optimize sedation plans, thereby improving the sedation success rate of IN DEX, enhancing the efficiency of nonpainful diagnostic procedures, and providing substantial clinical benefits.

摘要

鼻内给予右美托咪定(IN DEX)越来越多地用于接受非疼痛性诊断程序的儿童的镇静。成功的程序镇静有助于快速准确的临床诊断和治疗,从而提高临床管理效率。由于镇静成功率受多种因素影响,提高镇静成功率、降低与程序相关的风险以及将不良事件降至最低是关键的临床优先事项。在本研究中,纳入了年龄在12 - 72个月(1 - 6岁)接受需要使用IN DEX镇静的门诊检查的儿童。数据从门诊镇静套房的电子病历系统中提取。使用最小绝对收缩和选择算子(LASSO)和多变量逻辑回归分析训练数据集,以建立基于列线图的临床预测模型。通过受试者操作特征(ROC)曲线、校准曲线和决策曲线分析(DCA)评估模型性能,并使用单独的验证数据集进行验证。所开发的列线图纳入了镇静前小睡、呼吸系统疾病、镇静前流鼻涕、神经系统疾病、镇静史、镇静持续时间和镇静方法,表现出中等预测价值(AUC = 0.833)、良好的校准和增强的临床益处。本研究建立了一种临床预测列线图,可协助门诊镇静套房的麻醉医生定制和优化镇静计划,从而提高IN DEX的镇静成功率,提高非疼痛性诊断程序的效率,并提供实质性的临床益处。

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