Laura Montalbano1,2, Giovanna Cilluffo1,3, Manuel Gentile4, Giuliana Ferrante5, Velia Malizia1, Fabio Cibella1, Giovanni Viegi1,6, Giovanni Passalacqua7, Stefania La Grutta1. 1. Institute of Biomedicine and Molecular Immunology, National Research Council of Italy, Palermo, Italy. 2. Department of Psychological Educational and Training Sciences, University of Palermo, Palermo, Italy. 3. Department of Economics, Statistics and Business Sciences, University of Palermo, Palermo, Italy. 4. Institute for Educational Technologies, National Research Council, Palermo, Italy. 5. Department of Science for Health promotion and Mother and Child care, University of Palermo, Palermo, Italy. 6. Pulmonary Environmental Epidemiology Unit, Institute of Clinical Physiology, National Research Council of Italy, Pisa, Italy. 7. Allergy and Respiratory Diseases, IRCCS San Martino-IST-University of Genoa, Genoa, Italy.
Abstract
BACKGROUND: Pediatric Asthma Quality of Life Questionnaire (PAQLQ) provides detailed information on QoL in asthmatic children, whereas Childhood Asthma Control Test (C-ACT) Questionnaire is the most validated instrument for asthma control. No study assessed the relationship between C-ACT and QoL in children by means of those instruments. The aim of this study was to determine whether a QoL estimation is possible using the C-ACT questionnaire in asthmatic children. METHODS: Medical history, spirometry, C-ACT, and PAQLQ were assessed in 144 (60% male) outpatient asthmatic children from September 2011 to November 2014. A generalized linear model (GLM) for the prediction of PAQLQ was obtained through a stepwise procedure starting from a full model with all C-ACT items, and predictive nomograms were created. RESULTS: Fifty-five (38%) well-controlled (WC) asthma, 37 (26%) partially controlled (PC) asthma, and 52 (36%) uncontrolled asthma (UA) patients were enrolled. Persistent asthmatics (PA) were significantly more uncontrolled (p < 0.0001). A significant reduction in FEV1 , FEV1 /FVC, and FEF25-75 (p = 0.005, p < 0.0001, and p < 0.001, respectively) was found in WC vs. UA. Through a stepwise process, a reduced model showed a positive relationship between the PAQLQ and the four items of C-ACT. The regression equations for predicted PAQLQ were ln(PAQLQ) = 1.17 + 0.05*C-ACT2 + 0.03*C-ACT3 + 0.04*C-ACT6 + 0.03*C-ACT7. Thus, a nomogram was constructed. CONCLUSION: The designed nomogram provides a highly predictive assessment of QoL in individual patients, facilitating a more comprehensive assessment of asthmatic children in usual clinical care.
BACKGROUND: Pediatric Asthma Quality of Life Questionnaire (PAQLQ) provides detailed information on QoL in asthmatic children, whereas Childhood Asthma Control Test (C-ACT) Questionnaire is the most validated instrument for asthma control. No study assessed the relationship between C-ACT and QoL in children by means of those instruments. The aim of this study was to determine whether a QoL estimation is possible using the C-ACT questionnaire in asthmatic children. METHODS: Medical history, spirometry, C-ACT, and PAQLQ were assessed in 144 (60% male) outpatient asthmatic children from September 2011 to November 2014. A generalized linear model (GLM) for the prediction of PAQLQ was obtained through a stepwise procedure starting from a full model with all C-ACT items, and predictive nomograms were created. RESULTS: Fifty-five (38%) well-controlled (WC) asthma, 37 (26%) partially controlled (PC) asthma, and 52 (36%) uncontrolled asthma (UA) patients were enrolled. Persistent asthmatics (PA) were significantly more uncontrolled (p < 0.0001). A significant reduction in FEV1 , FEV1 /FVC, and FEF25-75 (p = 0.005, p < 0.0001, and p < 0.001, respectively) was found in WC vs. UA. Through a stepwise process, a reduced model showed a positive relationship between the PAQLQ and the four items of C-ACT. The regression equations for predicted PAQLQ were ln(PAQLQ) = 1.17 + 0.05*C-ACT2 + 0.03*C-ACT3 + 0.04*C-ACT6 + 0.03*C-ACT7. Thus, a nomogram was constructed. CONCLUSION: The designed nomogram provides a highly predictive assessment of QoL in individual patients, facilitating a more comprehensive assessment of asthmatic children in usual clinical care.
Authors: Glen Andrews; David K H Lo; Matthew Richardson; Andrew Wilson; Erol A Gaillard Journal: NPJ Prim Care Respir Med Date: 2018-10-24 Impact factor: 2.871
Authors: Giovanna Cilluffo; Giuliana Ferrante; Salvatore Fasola; Velia Malizia; Laura Montalbano; Andrea Ranzi; Chiara Badaloni; Giovanni Viegi; Stefania La Grutta Journal: Int J Environ Res Public Health Date: 2022-01-04 Impact factor: 3.390
Authors: Giovanna Cilluffo; Giuliana Ferrante; Nicola Murgia; Rosanna Mancini; Simona Pichini; Giuseppe Cuffari; Vittoria Giudice; Nicolò Tirone; Velia Malizia; Laura Montalbano; Salvatore Fasola; Roberta Pacifici; Giovanni Viegi; Stefania La Grutta Journal: Int J Environ Res Public Health Date: 2022-02-05 Impact factor: 3.390