Ten-year prediction model for post-bronchodilator airflow obstruction and early detection of COPD: Development and validation in two middle-aged population-based cohorts
Creators: name: Perret, JL
name: Vicendese, Don
name: Simons, K
name: Jarvis, DL
name: Lowe, AJ
name: Lodge, CJ
name: Bui, DS
name: Tan, D
name: Burgess, JA
name: Erbas, Bircan
name: Bickerstaffe, A
name: Hancock, K
name: Thompson, BR
name: Hamilton, GS
name: Adams, R
name: Benke, GP
name: Thomas, PS
name: Frith, P
name: Mcdonald, CF
name: Blakely, T
name: Abramson, MJ
name: Walters, EH
name: Minelli, C
name: Dharmage, SC
Publisher: name: La Trobe
Year: 2022
Subjects: classificationCode: 32
subject: Biomedical and clinical sciences
classificationCode: 3201
subject: Cardiovascular medicine and haematology
classificationCode: 3202
subject: Clinical sciences

description: Authors listed are on behalf of the
TAHS and ECRHS Investigator Groups.Abstract:<br>Background: Classifying individuals at high chronic obstructive pulmonary disease (COPD)-risk creates opportunities for early COPD detection and active intervention. Objective: To develop and validate a statistical model to predict 10-year probabilities of COPD defined by post-bronchodilator airflow obstruction (post-BD-AO; forced expiratory volume in 1 s/forced vital capacity&lt;5th percentile). Setting: General Caucasian populations from Australia and Europe, 10 and 27 centres, respectively. Participants: For the development cohort, questionnaire data on respiratory symptoms, smoking, asthma, occupation and participant sex were from the Tasmanian Longitudinal Health Study (TAHS) participants at age 41-45 years (n=5729) who did not have self-reported COPD/emphysema at baseline but had post-BD spirometry and smoking status at age 51-55 years (n=2407). The validation cohort comprised participants from the European Community Respiratory Health Survey (ECRHS) II and III (n=5970), restricted to those of age 40-49 and 50-59 with complete questionnaire and spirometry/smoking data, respectively (n=1407). Statistical method: Risk-prediction models were developed using randomForest then externally validated. Results: Area under the receiver operating characteristic curve (AUC ROC) of the final model was 80.8% (95% CI 80.0% to 81.6%), sensitivity 80.3% (77.7% to 82.9%), specificity 69.1% (68.7% to 69.5%), positive predictive value (PPV) 11.1% (10.3% to 11.9%) and negative predictive value (NPV) 98.7% (98.5% to 98.9%). The external validation was fair (AUC ROC 75.6%), with the PPV increasing to 17.9% and NPV still 97.5% for adults aged 40-49 years with ≥1 respiratory symptom. To illustrate the model output using hypothetical case scenarios, a 43-year-old female unskilled worker who smoked 20 cigarettes/day for 30 years had a 27% predicted probability for post-BD-AO at age 53 if she continued to smoke. The predicted risk was 42% if she had coexistent active asthma, but only 4.5% if she had quit after age 43. Conclusion: This novel and validated risk-prediction model could identify adults aged in their 40s at high 10-year COPD-risk in the general population with potential to facilitate active monitoring/intervention in predicted 'COPD cases' at a much earlier age.