Prediction of adult asthma risk in early childhood using novel adult asthma predictive risk scores

Author:

Farhan Abdal J.12,Kothalawala Dilini M.34,Kurukulaaratchy Ramesh J.123,Granell Raquel5,Simpson Angela6,Murray Clare6,Custovic Adnan7,Roberts Graham123ORCID,Zhang Hongmei8ORCID,Arshad S. Hasan123ORCID

Affiliation:

1. The David Hide Asthma and Allergy Research Centre St. Mary's Hospital Isle of Wight UK

2. Clinical and Experimental Sciences, Faculty of Medicine University of Southampton Southampton UK

3. NIHR Biomedical Research Centre University Hospital Southampton Southampton UK

4. Human Development and Health, Faculty of Medicine University of Southampton Southampton UK

5. MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School University of Bristol Bristol UK

6. Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences The University of Manchester, Manchester Academic Health Science Centre, and Manchester University NHS Foundation Trust Manchester UK

7. National Heart and Lung Institute Imperial College London London UK

8. Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health University of Memphis Memphis Tennessee USA

Abstract

AbstractBackgroundNumerous risk scores have been developed to predict childhood asthma. However, they may not predict asthma beyond childhood. We aim to create childhood risk scores that predict development and persistence of asthma up to young adult life.MethodsThe Isle of Wight Birth Cohort (n = 1456) was prospectively assessed up to 26 years of age. Asthma predictive scores were developed based on factors during the first 4 years, using logistic regression and tested for sensitivity, specificity and area under the curve (AUC) for prediction of asthma at (i) 18 and (ii) 26 years, and persistent asthma (PA) (iii) at 10 and 18 years, and (iv) at 10, 18 and 26 years. Models were internally and externally validated.ResultsFour models were generated for prediction of each asthma outcome. ASthma PredIctive Risk scorE (ASPIRE)‐1: a 2‐factor model (recurrent wheeze [RW] and positive skin prick test [+SPT] at 4 years) for asthma at 18 years (sensitivity: 0.49, specificity: 0.80, AUC: 0.65). ASPIRE‐2: a 3‐factor model (RW, +SPT and maternal rhinitis) for asthma at 26 years (sensitivity: 0.60, specificity: 0.79, AUC: 0.73). ASPIRE‐3: a 3‐factor model (RW, +SPT and eczema at 4 years) for PA‐18 (sensitivity: 0.63, specificity: 0.87, AUC: 0.77). ASPIRE‐4: a 3‐factor model (RW, +SPT at 4 years and recurrent chest infection at 2 years) for PA‐26 (sensitivity: 0.68, specificity: 0.87, AUC: 0.80). ASPIRE‐1 and ASPIRE‐3 scores were replicated externally. Further assessments indicated that ASPIRE‐1 can be used in place of ASPIRE‐2‐4 with same predictive accuracy.ConclusionASPIRE predicts persistent asthma up to young adult life.

Funder

Medical Research Council

National Institutes of Health

University of Bristol

Wellcome Trust

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3