Development of the Asthma Impairment and Risk Questionnaire (AIRQ): A Composite Control Measure

التفاصيل البيبلوغرافية
العنوان: Development of the Asthma Impairment and Risk Questionnaire (AIRQ): A Composite Control Measure
المؤلفون: Kari C. Nadeau, Anthony R. Ricci, Rosalba E. Puente, Karin S. Coyne, Acklema Mohammad, Patricia H. Stewart, Peggy Rubio O’Connor, Kevin R. Murphy, Nathan James Lesch, Pulin P. Patel, Russell Settipane, Reneé Stadtler, David C. Mares, Jeffrey Rehm, James M. Eudicone, Rabinder Sidhu, Weily Soong, Christine Czajkowski, Allison Ramsey, Amanda L. Michaud, Lori A. Bowers, Xavier Soler, Theodore E. Kelbel, Andrew M. Smith, S. Shahzad Mustafa, Ewa Rakowski, Martha V. White, Raji M. Ayinla, Robert A. Wise, Bruce M. Schnapf, Maxcie M. Sikora, Brett V. Kettelhut, Sherif Al-Farra, Jason M. Bellak, Tabarak Qureshi, Vipin Jain, Adam T. Cherry, Danuel Hamlin, Jennifer Trevor, Taiwen Chen, Lindsay D. Humes, Joseph Dominic Fisher, Neal Jain, Sonia N. Bains, James E. Pearl, Florence Ida Hsu, Patricia L. Luthin, Ziad R. Mattar, Chitra R. Natalie, Edward Schuman, Kartik Shenoy, Susan Estrella-Eades, Mitchell Smith, Gary N. Gross, Ileen Gilbert, Cara Kraft, Francis J. Averill, William McCann, Bradley E. Chipps, Howard J. Lee, J. Paul Cook, Leslie A. Stefanowicz, B. Steele Rolston, Jonathan R. Romeo, R. Sharon Chinthrajah, Sami Abdul Jawad, Brian Stone, Eugene R. Bleecker, Daisy Arce, David G. Hill, John G. Southard, Justin Greiwe, Jonathan Ilowite, Christine Anderson, Joann Blessing-Moore, Jorge Manuel Mercado, Amy Palmer, James P. Krainson, Jill Hanson, Sarah Villegas, Sandra G. Adams, Ellen R. Sher, Karen L. Gregory, Thomas P. Miller, Hassan Nasir, David Pham, Neil Parikh, Bryan Krajicek, John Gedell, Gale Harding, Devi K. Jhaveri, Steven L. Wise, Salim Surani, Maeve Edel O’Connor, Alan Gaines, Franco Barsanti, Andrew S. Kim, Matthew C. Wilson, Andrew A. White, David A. Beuther, Javier Perez-Fernandez, Igor Barjaktarevic, Melvin Lee Morganroth, Matthew Hegewald, Shyamsunder Subramanian, H. Gandhi, Jodi H. Biller, G. Gilbert Head, Da-Wei Liao, Nicholas L. Hartog, Carly Hopkins, Brian D. Modena, Richard A. Wachs, Rory L. Duplantier, Edward Kerwin, Robert S. Zeiger, Laren D. Tan, Aaron K. Kobernick, Randall Brown, Susan M. Smith, Jon Eric Chancellor, Alan Fein, Peter Schochet, Geoffrey Chupp, Mario F. Perez, Ronald C. Balkissoon, Derek K. Johnson, Nabeel Farooqui, Steven G. Kelsen, Diego J. Maselli, Jessica Freyer Most, Pinkus Goldberg, Deborah Simmons
المصدر: The Journal of Allergy and Clinical Immunology: In Practice. 8:2263-2274.e5
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Adult, Predictive validity, medicine.medical_specialty, Adolescent, Exacerbation, Specialty, Logistic regression, Risk Assessment, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, medicine, Humans, Immunology and Allergy, 030212 general & internal medicine, Aged, Asthma, Receiver operating characteristic, business.industry, Reproducibility of Results, medicine.disease, ROC Curve, 030228 respiratory system, Asthma Control Questionnaire, Emergency medicine, Risk assessment, business
الوصف: Background Asthma exacerbation risk increases with worsening asthma control. Prevailing numerical control tools evaluate only current symptom impairment despite the importance of also assessing risk based on exacerbation history. An easy-to-use questionnaire addressing impairment and risk domains of control is needed. Objective To validate a composite asthma control tool that includes impairment and risk assessments (Asthma Impairment and Risk Questionnaire [AIRQ]). Methods Four-hundred forty-two patients aged ≥12 years with physician-diagnosed asthma who were followed in specialty practices completed 15 impairment and risk questions with dichotomized yes/no responses. Patients spanned all Global Initiative for Asthma severities and were classified as well-controlled, not well-controlled, or very poorly controlled according to a standard of Asthma Control Test (ACT) score plus prior-year exacerbations. Logistic regression analyses identified questions with the greatest predictive validity to discriminate among patients and determine cut points for these 3 classifications. Results The final AIRQ comprises 10 equally weighted yes/no impairment and risk questions. The final 10-item models yielded receiver operating characteristic curves of 0.94 to identify well-controlled versus not well-/very poorly controlled and 0.93 to identify well-/not well-controlled versus very poorly controlled asthma, as reflected by the ACT plus prior-year exacerbations standard. Cut points of 0-1, 2-4, and 5-10 best represented well-, not well-, and very poorly controlled asthma. Conclusions AIRQ is a rigorously validated composite measure designed to identify adults and adolescents with varying degrees of asthma control. Ongoing investigations will determine test-retest reliability, responsiveness to change, and predictive ability for future exacerbations.
تدمد: 2213-2198
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83b35c0518549ee01660539bf9966fac
https://doi.org/10.1016/j.jaip.2020.02.042
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....83b35c0518549ee01660539bf9966fac
قاعدة البيانات: OpenAIRE