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  • Quality Improvement Article
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Development and validation of asthma diagnostic scale for children

Abstract

Background

To construct an asthma diagnostic scale for children under 6 years old.

Methods

An electronic medical record database was used to develop the scale. Item pool was established through literature survey and expert opinion. Items were screened and optimized by using the Delphi method, t-test, reactivity analysis, Pearson correlation coefficient, factor analysis, reliability and validity test. The predictive probability of asthma was calculated using logistic regression, and receiver operating characteristic curve. Another childhood asthma database was used to validated the scale.

Results

The asthma diagnostic scale for children under 6 years old included five dimensions: dimension 1 (shortness of breath, three concave sign, cyanosis, moist rale, heart rhythm, heart sound and dyspnea), dimension 2 (respiratory sound, cough, sputum), dimension 3 (frequency of wheezing, allergic rhinitis, history of allergy in one or both parents), dimension 4 (sex, wheezing, atopic dermatitis), and dimension 5 (reversible airflow, positive in vitro or in vivo allergy test). The Cronbach’s α coefficients for the five dimensions were 0.846, 0.459, 0.019, 0.202, and 0.024. The area under the ROC curve (AUC), sensitivity, and specificity were 0.737, 59.1%, and 81.2%. AUC, sensitivity, and specificity in the validation database were 0.614, 76.2%, and 46.7%.

Conclusion

The scale has significant diagnostic value for asthma in children under 6 years old.

Impact

  1. 1.

    The aim of the study was to establish an asthma diagnosis scale for children younger than 6 years old.

  2. 2.

    Our study not only addresses the lack of diagnostic criteria of young children asthma, but also indicates the accuracy of the diagnostic scale.

  3. 3.

    The data may help to reduce the missed diagnosis and misdiagnosis rate of asthma, and improve the diagnostic accuracy of the disease, and thus reduces the harm of asthma to children’s physical and mental health.

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Fig. 1: Screen plot.
Fig. 2: Receiver operating characteristic (ROC) curve of training set.
Fig. 3: Receiver operating characteristic (ROC) curve of validation set.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Papi, A., Brightling, C., Pedersen, S. E. & Reddel, H. K. Asthma. Lancet 391, 783–800 (2018).

    Article  PubMed  Google Scholar 

  2. Guo, X. et al. Epidemiology of childhood asthma in mainland China (1988-2014): A meta-analysis. Allergy Asthma Proc. 39, 15–29 (2018).

    Article  CAS  PubMed  Google Scholar 

  3. Stern, J., Pier, J. & Litonjua, A. A. Asthma epidemiology and risk factors. Semin. Immunopathol. 42, 5–15 (2020).

    Article  PubMed  Google Scholar 

  4. Feleszko, W., Jartti, T. & Bacharier, L. B. Current strategies for phenotyping and managing asthma in preschool children. Curr. Opin. Allergy Clin. Immunol. 22, 107–14 (2022).

    Article  PubMed  Google Scholar 

  5. Bao, Y. et al. Risk Factors in Preschool Children for Predicting Asthma During the Preschool Age and the Early School Age: a Systematic Review and Meta-Analysis. Curr. Allergy Asthma Rep. 17, 85 (2017).

    Article  PubMed  Google Scholar 

  6. Huang, K. et al. Prevalence, risk factors, and management of asthma in China: a national cross-sectional study. Lancet 394, 407–18 (2019).

    Article  PubMed  Google Scholar 

  7. Zhou, X. & Hong, J. Pediatric Asthma Management in China: Current and Future Challenges. Paediatr. Drugs 20, 105–10 (2018).

    Article  PubMed  Google Scholar 

  8. Hong, J. et al. Chinese guidelines for childhood asthma 2016: Major updates, recommendations and key regional data. J. Asthma 55, 1138–46 (2018).

    Article  PubMed  Google Scholar 

  9. Zhu, W. J. et al. Prevalence and Treatment of Children’s Asthma in Rural Areas Compared with Urban Areas in Beijing. Chin. Med J. (Engl.) 128, 2273–7 (2015).

    Article  PubMed  Google Scholar 

  10. Bateman, E. D. et al. Global strategy for asthma management and prevention: GINA executive summary. Eur. Respir. J. 31, 143–78 (2008).

    Article  CAS  PubMed  Google Scholar 

  11. Boquete Paris, M. The asthma consensus in the light of the Delphi method. Allergol. Immunopathol. (Madr.) 38, 293–4 (2010).

    Article  CAS  PubMed  Google Scholar 

  12. Li, M. et al. Epidemiological survey and analysis of asthma in children aged 0-14 years old in urban and rural areas of Chengdu region. Transl. Pediatr. 2, 160–6 (2013).

    PubMed  PubMed Central  Google Scholar 

  13. Martin, J., Townshend, J. & Brodlie, M. Diagnosis and management of asthma in children. BMJ Paediatr. Open 6, e001277 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Moral, L. et al. Asthma diagnosis in infants and preschool children: a systematic review of clinical guidelines. Allergol Immunopathol. 47, 107–21 (2019).

  15. Arakawa, H., Adachi, Y., Ebisawa, M. & Fujisawa, T. Committee for Japanese Pediatric Guideline for Childhood Asthma; Japanese Society of Pediatric Allergy and Clinical Immunology; Japanese Society of Allergology. Japanese guidelines for childhood asthma 2020. Allergol. Int. 69, 314–30 (2020).

    Article  PubMed  Google Scholar 

  16. de Benedictis, F. M. & Attanasi, M. Asthma in childhood. Eur. Respir. Rev. 25, 41–7 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gupta, A., Bhat, G. & Pianosi, P. What is New in the Management of Childhood Asthma? Indian J. Pediatr. 85, 773–81 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Busse, W. W. & Kraft, M. Current unmet needs and potential solutions to uncontrolled asthma. Eur. Respir. Rev. 31(25), 210176 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Dinakar, C. & Chipps, B. E. Section on allergy and immunology; section on pediatric pulmonology and sleep medicine. Clin. Tools Assess. Asthma Control Child. Pediatrics. 139, e20163438 (2017).

    Google Scholar 

  20. Wandalsen, G. F., Solé, D. & Bacharier, L. B. Identification of infants and preschool children at risk for asthma: predictive scores and biomarkers. Curr. Opin. Allergy Clin. Immunol. 16, 120–6 (2016).

    Article  CAS  PubMed  Google Scholar 

  21. Kan, K. et al. Parental quality of life and self-efficacy in pediatric asthma. J. Asthma 58, 742–9 (2021).

    Article  PubMed  Google Scholar 

Download references

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Authors and Affiliations

Authors

Contributions

S.S.B.: Design of the study; data analysis, article writing; L.L.Q.: Data collation and analysis, preparing the draft; P.B.Z.: Data analysis and article revising; W.W.Z.: Collation of case data, statistic analysis; Y.M. :Statistic analysis and prepared the tables; L.H.: Prepared the figures and article revising; Y.X.B.: Have the conception and design of the study, data analysis, article revising.

Corresponding author

Correspondence to Yixiao Bao.

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The authors declare no competing interests.

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Bai, S., Qin, L., Zhang, P. et al. Development and validation of asthma diagnostic scale for children. Pediatr Res (2024). https://doi.org/10.1038/s41390-024-03584-8

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  • DOI: https://doi.org/10.1038/s41390-024-03584-8

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