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Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma

IMPORTANCE: Despite advances in asthma therapeutics, the burden remains highest in preschool children; therefore, it is critical to identify primary care tools that distinguish preschool children at high risk for burdensome disease for further evaluation. Current asthma prediction tools, such as the...

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Autores principales: Reyna, Myrtha E., Dai, Ruixue, Tran, Maxwell M., Breton, Vanessa, Medeleanu, Maria, Lou, Wendy Y. W., Foong, Rachel E., Emmerson, Melanie, Dharma, Christoffer, Miliku, Kozeta, Lefebvre, Diana L., Simons, Elinor, Azad, Meghan B., Chan-Yeung, Moira, Becker, Allan B., Mandhane, Piush J., Turvey, Stuart E., Hall, Graham L., Moraes, Theo J., Sears, Malcolm R., Subbarao, Padmaja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539714/
https://www.ncbi.nlm.nih.gov/pubmed/36201211
http://dx.doi.org/10.1001/jamanetworkopen.2022.34714
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author Reyna, Myrtha E.
Dai, Ruixue
Tran, Maxwell M.
Breton, Vanessa
Medeleanu, Maria
Lou, Wendy Y. W.
Foong, Rachel E.
Emmerson, Melanie
Dharma, Christoffer
Miliku, Kozeta
Lefebvre, Diana L.
Simons, Elinor
Azad, Meghan B.
Chan-Yeung, Moira
Becker, Allan B.
Mandhane, Piush J.
Turvey, Stuart E.
Hall, Graham L.
Moraes, Theo J.
Sears, Malcolm R.
Subbarao, Padmaja
author_facet Reyna, Myrtha E.
Dai, Ruixue
Tran, Maxwell M.
Breton, Vanessa
Medeleanu, Maria
Lou, Wendy Y. W.
Foong, Rachel E.
Emmerson, Melanie
Dharma, Christoffer
Miliku, Kozeta
Lefebvre, Diana L.
Simons, Elinor
Azad, Meghan B.
Chan-Yeung, Moira
Becker, Allan B.
Mandhane, Piush J.
Turvey, Stuart E.
Hall, Graham L.
Moraes, Theo J.
Sears, Malcolm R.
Subbarao, Padmaja
author_sort Reyna, Myrtha E.
collection PubMed
description IMPORTANCE: Despite advances in asthma therapeutics, the burden remains highest in preschool children; therefore, it is critical to identify primary care tools that distinguish preschool children at high risk for burdensome disease for further evaluation. Current asthma prediction tools, such as the modified Asthma Predictive Index (mAPI), require invasive tests, limiting their applicability in primary care and low-resource settings. OBJECTIVE: To develop and evaluate the use of a symptom-based screening tool to detect children at high risk of asthma, persistent wheeze symptoms, and health care burden. DESIGN, SETTING, AND PARTICIPANTS: The cohort for this diagnostic study included participants from the CHILD Study (n = 2511) from January 1, 2008, to December 31, 2012, the Raine Study from January 1, 1989, to December 31, 2012 (n = 2185), and the Canadian Asthma Primary Prevention Study (CAPPS) from January 1, 1989, to December 31, 1995 (n = 349), with active follow-up to date. Data analysis was performed from November 1, 2019, to May 31, 2022. EXPOSURES: The CHILDhood Asthma Risk Tool (CHART) identified factors associated with asthma in patients at 3 years of age (timing and number of wheeze or cough episodes, use of asthma medications, and emergency department visits or hospitalizations for asthma or wheeze) to identify children with asthma or persistent symptoms at 5 years of age. MAIN OUTCOMES AND MEASURES: Within the CHILD Study cohort, CHART was evaluated against specialist clinician diagnosis and the mAPI. External validation was performed in both a general population cohort (Raine Study [Australia]) and a high-risk cohort (CAPPS [Canada]). Predictive accuracy was measured by sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and positive and negative predicted values. RESULTS: Among 2511 children (mean [SD] age at 3-year clinic visit, 3.08 [0.17] years; 1324 [52.7%] male; 1608 of 2476 [64.9%] White) with sufficient questionnaire data to apply CHART at 3 years of age, 2354 (93.7%) had available outcome data at 5 years of age. CHART applied in the CHILD Study at 3 years of age outperformed physician assessments and the mAPI in predicting persistent wheeze (AUROC, 0.94; 95% CI, 0.90-0.97), asthma diagnosis (AUROC, 0.73; 95% CI, 0.69-0.77), and health care use (emergency department visits or hospitalization for wheeze or asthma) (AUROC, 0.70; 95% CI, 0.61-0.78). CHART had a similar predictive performance for persistent wheeze in the Raine Study (N = 2185) in children at 5 years of age (AUROC, 0.82; 95% CI, 0.79-0.86) and CAPPS (N = 349) at 7 years of age (AUROC, 0.87; 95% CI, 0.80-0.94). CONCLUSIONS AND RELEVANCE: In this diagnostic study, CHART was able to identify children at high risk of asthma at as early as 3 years of age. CHART could be easily incorporated as a routine screening tool in primary care to identify children who need monitoring, timely symptom control, and introduction of preventive therapies.
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spelling pubmed-95397142022-10-24 Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma Reyna, Myrtha E. Dai, Ruixue Tran, Maxwell M. Breton, Vanessa Medeleanu, Maria Lou, Wendy Y. W. Foong, Rachel E. Emmerson, Melanie Dharma, Christoffer Miliku, Kozeta Lefebvre, Diana L. Simons, Elinor Azad, Meghan B. Chan-Yeung, Moira Becker, Allan B. Mandhane, Piush J. Turvey, Stuart E. Hall, Graham L. Moraes, Theo J. Sears, Malcolm R. Subbarao, Padmaja JAMA Netw Open Original Investigation IMPORTANCE: Despite advances in asthma therapeutics, the burden remains highest in preschool children; therefore, it is critical to identify primary care tools that distinguish preschool children at high risk for burdensome disease for further evaluation. Current asthma prediction tools, such as the modified Asthma Predictive Index (mAPI), require invasive tests, limiting their applicability in primary care and low-resource settings. OBJECTIVE: To develop and evaluate the use of a symptom-based screening tool to detect children at high risk of asthma, persistent wheeze symptoms, and health care burden. DESIGN, SETTING, AND PARTICIPANTS: The cohort for this diagnostic study included participants from the CHILD Study (n = 2511) from January 1, 2008, to December 31, 2012, the Raine Study from January 1, 1989, to December 31, 2012 (n = 2185), and the Canadian Asthma Primary Prevention Study (CAPPS) from January 1, 1989, to December 31, 1995 (n = 349), with active follow-up to date. Data analysis was performed from November 1, 2019, to May 31, 2022. EXPOSURES: The CHILDhood Asthma Risk Tool (CHART) identified factors associated with asthma in patients at 3 years of age (timing and number of wheeze or cough episodes, use of asthma medications, and emergency department visits or hospitalizations for asthma or wheeze) to identify children with asthma or persistent symptoms at 5 years of age. MAIN OUTCOMES AND MEASURES: Within the CHILD Study cohort, CHART was evaluated against specialist clinician diagnosis and the mAPI. External validation was performed in both a general population cohort (Raine Study [Australia]) and a high-risk cohort (CAPPS [Canada]). Predictive accuracy was measured by sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and positive and negative predicted values. RESULTS: Among 2511 children (mean [SD] age at 3-year clinic visit, 3.08 [0.17] years; 1324 [52.7%] male; 1608 of 2476 [64.9%] White) with sufficient questionnaire data to apply CHART at 3 years of age, 2354 (93.7%) had available outcome data at 5 years of age. CHART applied in the CHILD Study at 3 years of age outperformed physician assessments and the mAPI in predicting persistent wheeze (AUROC, 0.94; 95% CI, 0.90-0.97), asthma diagnosis (AUROC, 0.73; 95% CI, 0.69-0.77), and health care use (emergency department visits or hospitalization for wheeze or asthma) (AUROC, 0.70; 95% CI, 0.61-0.78). CHART had a similar predictive performance for persistent wheeze in the Raine Study (N = 2185) in children at 5 years of age (AUROC, 0.82; 95% CI, 0.79-0.86) and CAPPS (N = 349) at 7 years of age (AUROC, 0.87; 95% CI, 0.80-0.94). CONCLUSIONS AND RELEVANCE: In this diagnostic study, CHART was able to identify children at high risk of asthma at as early as 3 years of age. CHART could be easily incorporated as a routine screening tool in primary care to identify children who need monitoring, timely symptom control, and introduction of preventive therapies. American Medical Association 2022-10-06 /pmc/articles/PMC9539714/ /pubmed/36201211 http://dx.doi.org/10.1001/jamanetworkopen.2022.34714 Text en Copyright 2022 Reyna ME et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Reyna, Myrtha E.
Dai, Ruixue
Tran, Maxwell M.
Breton, Vanessa
Medeleanu, Maria
Lou, Wendy Y. W.
Foong, Rachel E.
Emmerson, Melanie
Dharma, Christoffer
Miliku, Kozeta
Lefebvre, Diana L.
Simons, Elinor
Azad, Meghan B.
Chan-Yeung, Moira
Becker, Allan B.
Mandhane, Piush J.
Turvey, Stuart E.
Hall, Graham L.
Moraes, Theo J.
Sears, Malcolm R.
Subbarao, Padmaja
Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
title Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
title_full Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
title_fullStr Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
title_full_unstemmed Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
title_short Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
title_sort development of a symptom-based tool for screening of children at high risk of preschool asthma
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539714/
https://www.ncbi.nlm.nih.gov/pubmed/36201211
http://dx.doi.org/10.1001/jamanetworkopen.2022.34714
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