BACKGROUND: The use of administrative databases to perform epidemiological studies in asthma has increased in recent years. The absence of clinical parameters to measure the level of asthma severity and control is a major limitation of database studies. A study was undertaken to develop and validate two database indexes to measure the control and severity of asthma. METHODS: Database indexes of asthma severity and control were derived from definitions in the Canadian Asthma Consensus Guidelines based on dispensed prescriptions and on medical services recorded in two large administrative databases from the Canadian province of Québec (Régie de l'Assurance Maladie du Québec (RAMQ) and MED-ECHO) over 12 months. The database indexes of asthma severity and control were validated against the pulmonary function test results of 71 patients with asthma randomly selected from two asthma clinics, and they were also applied to a cohort of patients with asthma followed up for 139 283 person-years selected from the RAMQ and MED-ECHO databases between 1 January 1997 and 31 December 2004. RESULTS: According to the database indexes, 49.3%, 29.6% and 21.1% of patients recruited at the asthma clinics were found to have mild, moderate and severe asthma, respectively, while 53.5% were found to have controlled asthma. The mean predicted value of the forced expiratory volume in 1 s (FEV(1)) ranged from 89.8% for mild asthma to 61.5% for severe asthma (p<0.001), whereas the range from controlled to uncontrolled asthma was 89.5% to 67.3% (p<0.001). The ratio of the FEV(1) to the forced vital capacity (FEV(1)/FVC ratio) measured in 56 patients ranged from 75.8% for mild asthma to 61.8% for severe asthma (p = 0.030), whereas the range from controlled to uncontrolled asthma was 75.3% to 65.7% (p<0.001). CONCLUSION: In the absence of clinical data, these database indexes could be used in epidemiological studies to assess the severity and control of asthma.
BACKGROUND: The use of administrative databases to perform epidemiological studies in asthma has increased in recent years. The absence of clinical parameters to measure the level of asthma severity and control is a major limitation of database studies. A study was undertaken to develop and validate two database indexes to measure the control and severity of asthma. METHODS: Database indexes of asthma severity and control were derived from definitions in the Canadian Asthma Consensus Guidelines based on dispensed prescriptions and on medical services recorded in two large administrative databases from the Canadian province of Québec (Régie de l'Assurance Maladie du Québec (RAMQ) and MED-ECHO) over 12 months. The database indexes of asthma severity and control were validated against the pulmonary function test results of 71 patients with asthma randomly selected from two asthma clinics, and they were also applied to a cohort of patients with asthma followed up for 139 283 person-years selected from the RAMQ and MED-ECHO databases between 1 January 1997 and 31 December 2004. RESULTS: According to the database indexes, 49.3%, 29.6% and 21.1% of patients recruited at the asthma clinics were found to have mild, moderate and severe asthma, respectively, while 53.5% were found to have controlled asthma. The mean predicted value of the forced expiratory volume in 1 s (FEV(1)) ranged from 89.8% for mild asthma to 61.5% for severe asthma (p<0.001), whereas the range from controlled to uncontrolled asthma was 89.5% to 67.3% (p<0.001). The ratio of the FEV(1) to the forced vital capacity (FEV(1)/FVC ratio) measured in 56 patients ranged from 75.8% for mild asthma to 61.8% for severe asthma (p = 0.030), whereas the range from controlled to uncontrolled asthma was 75.3% to 65.7% (p<0.001). CONCLUSION: In the absence of clinical data, these database indexes could be used in epidemiological studies to assess the severity and control of asthma.
Authors: J A Atta; M P T Nunes; C H F Fonseca-Guedes; L A Avena; M T Borgiani; R F Fiorenza; M A Martins Journal: Braz J Med Biol Res Date: 2004-08-24 Impact factor: 2.590
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Authors: Stephen W Turner; Jon G Ayres; Tatiana V Macfarlane; Anil Mehta; Gita Mehta; Colin N Palmer; Steve Cunningham; Tim Adams; Krishnan Aniruddhan; Claire Bell; Donna Corrigan; Jason Cunningham; Andrew Duncan; Gerard Hunt; Richard Leece; Una MacFadyen; Jonathan McCormick; Sally McLeish; Andrew Mitra; Deborah Miller; Elizabeth Waxman; Alan Webb; Slawomir Wojcik; Somnath Mukhopadhyay; Donald Macgregor Journal: BMC Med Res Methodol Date: 2010-12-06 Impact factor: 4.615