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Prediction of adult asthma risk in early childhood using novel adult asthma predictive risk scores.
Farhan, Abdal J; Kothalawala, Dilini M; Kurukulaaratchy, Ramesh J; Granell, Raquel; Simpson, Angela; Murray, Clare; Custovic, Adnan; Roberts, Graham; Zhang, Hongmei; Arshad, S Hasan.
Afiliação
  • Farhan AJ; The David Hide Asthma and Allergy Research Centre, St. Mary's Hospital, Isle of Wight, UK.
  • Kothalawala DM; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
  • Kurukulaaratchy RJ; NIHR Biomedical Research Centre, University Hospital Southampton, Southampton, UK.
  • Granell R; Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
  • Simpson A; The David Hide Asthma and Allergy Research Centre, St. Mary's Hospital, Isle of Wight, UK.
  • Murray C; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
  • Custovic A; NIHR Biomedical Research Centre, University Hospital Southampton, Southampton, UK.
  • Roberts G; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Zhang H; 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.
  • Arshad SH; 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.
Allergy ; 78(11): 2969-2979, 2023 11.
Article em En | MEDLINE | ID: mdl-37661293
BACKGROUND: Numerous 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. METHODS: The 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. RESULTS: Four 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. CONCLUSION: ASPIRE predicts persistent asthma up to young adult life.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Asma / Rinite / Eczema Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Child, preschool / Humans Idioma: En Revista: Allergy Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Asma / Rinite / Eczema Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Child, preschool / Humans Idioma: En Revista: Allergy Ano de publicação: 2023 Tipo de documento: Article