Use of a 'COPD prevalence model' in two Italian general population samples
L. Carrozzi, M. Borbotti, A. Angino, F. Pistelli, S. Baldacci, A. Scognamiglio, G. Matteelli, F. Di Pede, G. Viegi (Pisa, Italy)
Source: Annual Congress 2002 - Prevalence and costs of COPD
Session: Prevalence and costs of COPD
Session type: Thematic Poster Session
Number: 816
Disease area: Airway diseases
Abstract Aim. To validate a [dsquote]COPD prevalence model[dsquote] (by Boehringer Ingelheim) using data from two population-based studies in Italy: Po river delta (PD) and Pisa (PI). Methods. We considered subjects aged 30-69 yr, n=1724 (47% males) from PD, and n=1665 (45% males) from PI. COPD was defined according to three different criteria: ATS = subjects with FEV1/FVC < 0.75; ERS = subjects with FEV1/FVC <88% (males) or <89% (females) of predicted value; GOLD = FEV1/FVC < 0.70. COPD cases were estimated by the model on the basis of: population size by age and sex, prevalence of current (CS) or ever (ES) smokers, percent of smokers (CS or ES) with COPD, presence of risk factors other than smoking. Results. The number of cases estimated by the model: 1) varies within each study according to the different COPD definition; 2) it is strongly dependent on the smoking data used in the model definition regardless of the COPD, as shown in the table:
PD PI estimated estimated observed estimated estimated observed CS ES CS ES ERS 83 176 175 23 47 43 ATS 293 617 634 195 403 359 GOLD 148 310 289 111 198 159
Conclusions. COPD definitions are to be taken into account in the interpretation and in the practical application of the model in different data set. Indeed, using ever instead of current smoking improves very much the estimate of COPD cases.
Rating:
You must login to grade this presentation.
Share or cite this content
Citations should be made in the following way:
L. Carrozzi, M. Borbotti, A. Angino, F. Pistelli, S. Baldacci, A. Scognamiglio, G. Matteelli, F. Di Pede, G. Viegi (Pisa, Italy). Use of a 'COPD prevalence model' in two Italian general population samples. Eur Respir J 2002; 20: Suppl. 38, 816
You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
Related content which might interest you:
Related content which might interest you: