OBJECTIVE: Several international asthma guidelines emphasize the importance of assessing asthma control. However, there is limited data on the usefulness of available assessment tools in indicating disease control in young asthmatics. This study investigated the ability of Chinese version of Childhood Asthma Control Test (C-ACT) and other disease-related factors in identifying uncontrolled asthma (UA) in young children. METHODS: During the same clinic visit, asthma patients 4 to 11 years of age completed C-ACT and underwent exhaled nitric oxide and spirometric measurements. Blinded to these results, the same investigator assigned Disease Severity Score (DSS) and rated asthma control according to Global Initiative for Asthma. RESULTS: The mean (SD) age of 113 recruited patients was 9.1 (2.0) years, and 35% of them had UA. C-ACT, DSS and forced expiratory volume in 1 second (FEV(1)) differed among patients with different control status (p < 0.001 for C-ACT and DSS; p = 0.014 for FEV(1)). Logistic regression confirmed that UA was associated with DSS (p < 0.001), PEF (p = 0.002), C-ACT (p = 0.011), and FEV(1) (p = 0.012). By ROC analysis, C-ACT and DSS were the best predictors for UA (p < 0.001), followed by PEF (p = 0.006) and FEV(1) (p = 0.007). When analyzed by the Classification and Regression Tree (CART) approach, the sequential use of DSS and C-ACT had 77% sensitivity and 84% specificity in identifying UA. CONCLUSIONS: C-ACT is better than objective parameters in identifying young Chinese children with UA.
OBJECTIVE: Several international asthma guidelines emphasize the importance of assessing asthma control. However, there is limited data on the usefulness of available assessment tools in indicating disease control in young asthmatics. This study investigated the ability of Chinese version of Childhood Asthma Control Test (C-ACT) and other disease-related factors in identifying uncontrolled asthma (UA) in young children. METHODS: During the same clinic visit, asthma patients 4 to 11 years of age completed C-ACT and underwent exhaled nitric oxide and spirometric measurements. Blinded to these results, the same investigator assigned Disease Severity Score (DSS) and rated asthma control according to Global Initiative for Asthma. RESULTS: The mean (SD) age of 113 recruited patients was 9.1 (2.0) years, and 35% of them had UA. C-ACT, DSS and forced expiratory volume in 1 second (FEV(1)) differed among patients with different control status (p < 0.001 for C-ACT and DSS; p = 0.014 for FEV(1)). Logistic regression confirmed that UA was associated with DSS (p < 0.001), PEF (p = 0.002), C-ACT (p = 0.011), and FEV(1) (p = 0.012). By ROC analysis, C-ACT and DSS were the best predictors for UA (p < 0.001), followed by PEF (p = 0.006) and FEV(1) (p = 0.007). When analyzed by the Classification and Regression Tree (CART) approach, the sequential use of DSS and C-ACT had 77% sensitivity and 84% specificity in identifying UA. CONCLUSIONS: C-ACT is better than objective parameters in identifying young Chinese children with UA.
Authors: Michelle M Cloutier; Michael Schatz; Mario Castro; Noreen Clark; H William Kelly; Rita Mangione-Smith; James Sheller; Christine Sorkness; Stuart Stoloff; Peter Gergen Journal: J Allergy Clin Immunol Date: 2012-03 Impact factor: 10.793
Authors: Yixin Shi; Ahramahzd V Tatavoosian; Anna S Aledia; Steven C George; Stanley P Galant Journal: Ann Allergy Asthma Immunol Date: 2012-07-04 Impact factor: 6.347
Authors: Kam Lun Hon; Yan Min Bao; Kate C Chan; Kin Wai Chau; Rong-Shan Chen; Kun Tat Gary Cheok; Wa Keung Chiu; Li Deng; Chun-Hui He; Kin Mui Ieong; Jeng Sum C Kung; Ping Lam; Shu Yan David Lam; Qun Ui Lee; So Lun Lee; Ting Fan Leung; Theresa N H Leung; Lei Shi; Ka Ka Siu; Wei-Ping Tan; Maggie Haitian Wang; Tak Wai Wong; Bao-Jing Wu; Ada Y F Yip; Yue-Jie Zheng; Daniel K Ng Journal: World J Pediatr Date: 2018-07-25 Impact factor: 2.764