Abstract
Background
Atopic dermatitis (AD) is the most common chronic inflammatory skin disease in childhood. Early identification of infants at high risk for AD may support preventive interventions and reduce the subsequent burden of allergic diseases. This study aimed to develop and evaluate prediction models for early-onset AD during the first two years of life.
Methods
Prediction models were developed using data from a prospective cohort study of healthy infants aged 42–90 days enrolled at Songklanagarind Hospital between August 2020 and October 2021. Demographic and clinical characteristics were collected at baseline. AD was assessed at 12 and 24 months of age using the Hanifin and Rajka diagnostic criteria. Multivariable logistic regression models were constructed, with variable selection performed using stepwise and least absolute shrinkage and selection operator (LASSO) methods. Model performance was evaluated using sensitivity, specificity, area under the receiver operating characteristic curve (AUC), F1 score, and calibration plots.
Results
Among 671 infants included in the analysis, 55 (8.2%) developed AD within the first two years of life. Higher household income and a family history of allergy were significantly associated with increased AD risk, whereas regular moisturizer use was significantly associated with reduced AD risk. The stepwise-selected model demonstrated lower sensitivity than the LASSO-selected model (68% vs. 74%) but higher specificity (75% vs. 66%) and AUC (74% vs. 67%). Both models were similar in F1 score (26%) and calibration.
Conclusions
Prediction models based on early-life clinical factors demonstrated promising performance in identifying infants at risk of atopic dermatitis. These models may support early risk stratification and prevention-oriented counseling in infancy.
Trial registration The present study is a secondary analysis of data derived from participants enrolled in the V114-032 (PNEU-ERA) clinical trial, which was prospectively registered at ClinicalTrials.gov (NCT04193215). The current cohort analysis evaluating prediction models for atopic dermatitis did not involve a separate interventional protocol.
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Abbreviations
- AD:
-
Atopic dermatitis
- AUC:
-
Area under the receiver operating characteristic curve
- CI:
-
Confidence interval
- IQR:
-
Interquartile range
- LASSO:
-
Least absolute shrinkage and selection operator
- LR+:
-
Positive likelihood ratio
- NPV:
-
Negative predictive value
- OR:
-
Odds ratio
- PPV:
-
Positive predictive value
- ROC:
-
Receiver operating characteristic
Acknowledgements
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Funding
Permission to use data from participants enrolled in the V114-032 (PNEU-ERA) study at Site 0005 (ClinicalTrials.gov identifier: NCT04193215) was obtained from Merck Sharp & Dohme LLC. The present analysis of early-onset atopic dermatitis was investigator-initiated and did not receive separate funding. The sponsor had no role in the design of this study, data analysis, interpretation of the results, manuscript preparation, or decision to submit the manuscript for publication.
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Ethics approval and consent to participate
This study was approved by the Human Research Ethics Committee of the Faculty of Medicine, Prince of Songkla University, Thailand (REC 65-189-1-1). Written informed consent was obtained from the parents or legal guardians of all participants prior to enrollment. The present study represents a secondary cohort analysis of participants enrolled in the V114-032 (PNEU-ERA) study.
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Competing interests
The present study used follow-up data from participants enrolled in the V114-032 (PNEU-ERA) study, which was funded by Merck Sharp & Dohme LLC. The current analysis on early-onset atopic dermatitis was investigator-initiated and did not receive separate funding. The sponsor had no role in the study design, data analysis, data interpretation, manuscript preparation, or the decision to submit the manuscript for publication. KL received research funding from Merck Sharp & Dohme LLC for the V114-032/PNEU-ERA study at site 0005. All other authors declare no competing interests.
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Eakpanit, E., Laoprasopwattan, K., Sangsupawanich, P. et al. Prediction models for early-onset atopic dermatitis in infancy: a prospective cohort study. Allergy Asthma Clin Immunol (2026). https://doi.org/10.1186/s13223-026-01068-4
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DOI: https://doi.org/10.1186/s13223-026-01068-4


