Ronaldo C Fabiano Filho, Ruth J Geller, Ludmilla Candido Santos, Janice A Espinola, Lacey B Robinson, Carlos A Camargo
{"title":"哮喘预测工具在一组患有严重毛细支气管炎的婴儿中的应用。","authors":"Ronaldo C Fabiano Filho, Ruth J Geller, Ludmilla Candido Santos, Janice A Espinola, Lacey B Robinson, Carlos A Camargo","doi":"10.1089/ped.2023.0016","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Background:</i></b> Severe bronchiolitis is a strong childhood asthma risk factor. Early and accurate asthma prediction is key. We applied the Asthma Predictive Index (API), the modified Asthma Predictive Index (mAPI), and the Pediatric Asthma Risk Score (PARS) in a cohort of high-risk infants to predict asthma at age 6 years. <b><i>Methods:</i></b> We conducted a 17-center cohort of infants (age <1 year) hospitalized with severe bronchiolitis during 2011-2014. We used only infancy data to predict asthma at age 6 years. <b><i>Results:</i></b> The prevalence of parent-reported asthma at age 6 years was 328/880 (37%). The prevalences of a positive index/score for stringent and loose API, mAPI, and PARS were 21%, 51%, 11%, and 34%, respectively. Area under the receiver operating characteristic curves [95% confidence interval (CI)] ranged from 0.57 (95% CI 0.55-0.60) for mAPI to 0.66 (95% CI 0.63-0.70) for PARS. <b><i>Conclusions:</i></b> An asthma prediction tool for high-risk infants is needed to identify those who would benefit most from asthma prevention interventions.</p>","PeriodicalId":54389,"journal":{"name":"Pediatric Allergy Immunology and Pulmonology","volume":"36 3","pages":"110-114"},"PeriodicalIF":1.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516229/pdf/","citationCount":"0","resultStr":"{\"title\":\"Application of Asthma Prediction Tools in a Cohort of Infants with Severe Bronchiolitis.\",\"authors\":\"Ronaldo C Fabiano Filho, Ruth J Geller, Ludmilla Candido Santos, Janice A Espinola, Lacey B Robinson, Carlos A Camargo\",\"doi\":\"10.1089/ped.2023.0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Background:</i></b> Severe bronchiolitis is a strong childhood asthma risk factor. Early and accurate asthma prediction is key. We applied the Asthma Predictive Index (API), the modified Asthma Predictive Index (mAPI), and the Pediatric Asthma Risk Score (PARS) in a cohort of high-risk infants to predict asthma at age 6 years. <b><i>Methods:</i></b> We conducted a 17-center cohort of infants (age <1 year) hospitalized with severe bronchiolitis during 2011-2014. We used only infancy data to predict asthma at age 6 years. <b><i>Results:</i></b> The prevalence of parent-reported asthma at age 6 years was 328/880 (37%). The prevalences of a positive index/score for stringent and loose API, mAPI, and PARS were 21%, 51%, 11%, and 34%, respectively. Area under the receiver operating characteristic curves [95% confidence interval (CI)] ranged from 0.57 (95% CI 0.55-0.60) for mAPI to 0.66 (95% CI 0.63-0.70) for PARS. <b><i>Conclusions:</i></b> An asthma prediction tool for high-risk infants is needed to identify those who would benefit most from asthma prevention interventions.</p>\",\"PeriodicalId\":54389,\"journal\":{\"name\":\"Pediatric Allergy Immunology and Pulmonology\",\"volume\":\"36 3\",\"pages\":\"110-114\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516229/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Allergy Immunology and Pulmonology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/ped.2023.0016\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ALLERGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatric Allergy Immunology and Pulmonology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/ped.2023.0016","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/28 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ALLERGY","Score":null,"Total":0}
Application of Asthma Prediction Tools in a Cohort of Infants with Severe Bronchiolitis.
Background: Severe bronchiolitis is a strong childhood asthma risk factor. Early and accurate asthma prediction is key. We applied the Asthma Predictive Index (API), the modified Asthma Predictive Index (mAPI), and the Pediatric Asthma Risk Score (PARS) in a cohort of high-risk infants to predict asthma at age 6 years. Methods: We conducted a 17-center cohort of infants (age <1 year) hospitalized with severe bronchiolitis during 2011-2014. We used only infancy data to predict asthma at age 6 years. Results: The prevalence of parent-reported asthma at age 6 years was 328/880 (37%). The prevalences of a positive index/score for stringent and loose API, mAPI, and PARS were 21%, 51%, 11%, and 34%, respectively. Area under the receiver operating characteristic curves [95% confidence interval (CI)] ranged from 0.57 (95% CI 0.55-0.60) for mAPI to 0.66 (95% CI 0.63-0.70) for PARS. Conclusions: An asthma prediction tool for high-risk infants is needed to identify those who would benefit most from asthma prevention interventions.
期刊介绍:
Pediatric Allergy, Immunology, and Pulmonology is a peer-reviewed journal designed to promote understanding and advance the treatment of respiratory, allergic, and immunologic diseases in children. The Journal delivers original translational, clinical, and epidemiologic research on the most common chronic illnesses of children—asthma and allergies—as well as many less common and rare diseases. It emphasizes the developmental implications of the morphological, physiological, pharmacological, and sociological components of these problems, as well as the impact of disease processes on families.
Pediatric Allergy, Immunology, and Pulmonology coverage includes:
-Functional and genetic immune deficiencies-
Interstitial lung diseases-
Both common and rare respiratory, allergic, and immunologic diseases-
Patient care-
Patient education research-
Public health policy-
International health studies