Sirasuda SommanusChalerat DirekwattanachaiSaranath LawpoolsriRaweerat SitcharungsiFaculty of Medicine, Ramathibodi Hospital, Mahidol UniversityTaksin HospitalMahidol University2019-08-232019-08-232018-09-01Asian Pacific Journal of Allergy and Immunology. Vol.36, No.3 (2018), 152-158222886940125877X2-s2.0-85054455770https://repository.li.mahidol.ac.th/handle/20.500.14594/45976© 2018, Allergy and Immunology Society of Thailand. All rights reserved. Background: The Childhood Asthma Control Test (C-ACT) was developed to assess asthma control in children wowide. A self-administered questionnaire for children translated into Thai language was used. Objective: To validate the C-ACT cut-points for evaluating the level of asthma control among Thai children, using tGlobal Initiative for Asthma (GINA) guideline as a gold standard. Methods: C-ACT score, FEV1 and assessment of level of asthma control were recorded at baseline, 3-month, 6-month, and 1-year visits among children with asthma. Receiver operating characteristic (ROC) curves was used to determine the area under the curve (AUC) of C-ACT score for determining the level of asthma control. Validity indicators were calculated at different C-ACT cut-points to determine those most appropriate for predicting controlled and uncontrolled asthma. Results: We enrolled 279 children, 64% males, with mean age 6.87 ± 2.4 years. C-ACT score was significantly correlated with FEV1 at 3-month, 6-month, and 1-year visits (p < 0.001). The AUC of C-ACT score compared with GINA score were above 80% at all visits. The suggested C-ACT score cut-point of controlled asthma was ≥ 23 (sensitivity 69.5%, specificity 73.3%, positive predictive value (PPV) 81.2%, negative predictive value (NPV) 63.8%); that of uncontrolled asthma was ≤ 18 (sensitivity 54.2%, specificity 96.9%, PPV 61.9%, NPV 95.7%). Conclusions: The Thai version of the C-ACT is an accurate, simple, and useful tool for assessing asthma control aThai children. The high AUC suggests that the Thai C-ACT is as good as the GINA guideline in predicting asthma colevel.Mahidol UniversityImmunology and MicrobiologyMedicineArticleSCOPUS10.12932/AP-300517-0094