ArticleThe Journal of asthma : official journal of the Association for the Care of Asthma2015
Development and initial testing of Asthma Predictive Index for a retrospective study: an exploratory study.
Article in The Journal of asthma : official journal of the Association for the Care of Asthma, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).Journal of the National Medical Association · 2026Review
- The asthma predictive index as a surrogate diagnostic tool in preschoolers: Analysis of a longitudinal birth cohort.Pediatric pulmonology · 2021Article
- Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea.Clinical and experimental pediatrics · 2020Article
- Expert artificial intelligence-based natural language processing characterises childhood asthma.BMJ open respiratory research · 2020Article
- Early Identification of Childhood Asthma: The Role of Informatics in an Era of Electronic Health Records.Frontiers in pediatrics · 2019Review
- Predicting Asthma Using Clinical Indexes.Frontiers in pediatrics · 2019Review
- Usefulness of asthma predictive index in ascertaining asthma status of children using medical records: An explorative study.Allergy · 2018Article
- Automated chart review utilizing natural language processing algorithm for asthma predictive index.BMC pulmonary medicine · 2018Article
- Heterogeneity of asthma and the risk of celiac disease in children.Allergy and asthma proceedings · 2018Article
- Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review.American journal of respiratory and critical care medicine · 2017Article
- Risk of herpes zoster in children with asthma.Allergy and asthma proceedingsArticle
- Natural Language Processing for Asthma Ascertainment in Different Practice Settings.The journal of allergy and clinical immunology. In practiceArticle
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
objectiveAsthma Predictive Index (API) has been used for predicting asthma in prospective or cross-sectional studies, not for a retrospective study. We aim to develop and validate API for a retrospective study.
methodsThis is a cross-sectional study based on a convenience sample of children who participated in a previous retrospective cohort study. API was operationalized by two or more wheezing episodes in a year during the first 3 years of life PLUS one of the major or two of the minor criteria of the original API. We assessed validity of retrospective API against Predetermined Asthma Criteria (PAC) which has been extensively used in clinical studies for asthma. We assessed criterion validity by measuring kappa and agreement rate between API and PAC and construct validity by determining associations of API with known risk factors for asthma.
resultsOf the eligible 105 children, 55 (52.4%) were male, 90 (85.7%) Caucasians, and the mean age (±SD) was 5.8 years (±1.5). API criteria was met by 15 (14.3%), compared to 33 (31.4%) by PAC, respectively. The agreement rate and kappa between API and definite asthma of PAC were 89.5% and 0.66 (p < 0.01). Atopic conditions, lower parental education, no history of breastfeeding and family history of asthma were significantly associated with risk of asthma by API.
conclusionsApplication of API to a retrospective study for ascertaining asthma status is suitable. Our study findings need to be replicated by future studies with a larger sample size.
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