Development and Internal Evaluation of a Clinical-Physiological Model for Predicting Methacholine-Defined Airway Hyperresponsiveness in Children Aged 0-3 Years.

IF 3.3 3区 医学 Q2 ALLERGY
Journal of Asthma and Allergy Pub Date : 2026-06-17 eCollection Date: 2026-01-01 DOI:10.2147/JAA.S602340
Jiangjiao Qin, Sha Liu, Ying Lin, Xia Wang, Jing Zhao, Fangjun Liu
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引用次数: 0

Abstract

Purpose: Assessing airway hyperresponsiveness (AHR) in children aged 0-3 years is crucial for early asthma diagnosis but is clinically challenging due to the safety risks and technical complexity of the methacholine challenge test (MCT). This study aimed to develop and internally evaluate a non-invasive, multidimensional nomogram to predict current methacholine-defined AHR in children aged 0-3 years with suspected asthma.

Patients and methods: We conducted a retrospective cohort study of children aged 0-3 years with suspected asthma who underwent same-day tidal breathing pulmonary function testing, fractional exhaled nitric oxide (FeNO) measurement, and MCT. Clinical symptoms and atopic history were extracted from electronic medical records. Multivariable logistic regression was used to identify independent predictors of AHR. The model was internally evaluated using a single 70/30 random split into training and evaluation cohorts. Model performance was assessed by discrimination, calibration, and decision curve analysis and compared with machine-learning approaches.

Results: Seven independent predictors were identified: family history of asthma (OR = 3.90), presence of wheeze (OR = 3.85), history of allergy (OR = 2.34), history of rhinitis (OR = 1.69), FeNO (OR = 1.03), age (OR = 0.96), and TPTEF/TE (OR = 0.97). The model achieved an AUC of 0.81 (95% CI: 0.77-0.85) in the training cohort and 0.76 (95% CI: 0.69-0.84) in the evaluation cohort. At the optimal cutoff, the PPV and NPV were 0.89 and 0.39, respectively, in the evaluation cohort. SHAP analysis identified family history of asthma, wheeze, and FeNO as the most influential predictors.

Conclusion: We developed a clinical-physiological nomogram for predicting methacholine-defined AHR in children aged 0-3 years. It serves as an adjunctive tool in tertiary care to identify patients with a high probability of AHR.

预测0-3岁儿童甲基苯丙胺所致气道高反应性的临床生理模型的建立和内部评估。
目的:评估0-3岁儿童气道高反应性(AHR)对早期哮喘诊断至关重要,但由于甲基胆碱激发试验(MCT)的安全风险和技术复杂性,在临床上具有挑战性。本研究旨在开发和内部评估一种无创的多维nomogram方法,以预测目前0-3岁疑似哮喘儿童中由methacholin定义的AHR。患者和方法:我们对0-3岁疑似哮喘的儿童进行了回顾性队列研究,这些儿童接受了当天潮汐呼吸肺功能测试、呼气一氧化氮分数(FeNO)测量和MCT。从电子病历中提取临床症状和特应性病史。采用多变量logistic回归确定AHR的独立预测因子。模型采用70/30随机分成训练组和评估组进行内部评估。通过判别、校准和决策曲线分析来评估模型的性能,并与机器学习方法进行比较。结果:确定了7个独立预测因素:哮喘家族史(OR = 3.90)、喘息存在(OR = 3.85)、过敏史(OR = 2.34)、鼻炎史(OR = 1.69)、FeNO (OR = 1.03)、年龄(OR = 0.96)和TPTEF/TE (OR = 0.97)。该模型在训练队列中的AUC为0.81 (95% CI: 0.77-0.85),在评估队列中的AUC为0.76 (95% CI: 0.69-0.84)。在最佳截止点,评价队列的PPV和NPV分别为0.89和0.39。SHAP分析确定哮喘、喘息和FeNO家族史是最具影响力的预测因素。结论:我们开发了一种预测0-3岁儿童甲基苯丙胺定义AHR的临床生理图。它可以作为三级保健的辅助工具来识别高概率AHR的患者。
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来源期刊
Journal of Asthma and Allergy
Journal of Asthma and Allergy Medicine-Immunology and Allergy
CiteScore
5.30
自引率
6.20%
发文量
185
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed journal publishing original research, reports, editorials and commentaries on the following topics: Asthma; Pulmonary physiology; Asthma related clinical health; Clinical immunology and the immunological basis of disease; Pharmacological interventions and new therapies. Although the main focus of the journal will be to publish research and clinical results in humans, preclinical, animal and in vitro studies will be published where they shed light on disease processes and potential new therapies.
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