Journal Article

Ten-year prediction model for post-bronchodilator airflow obstruction and early detection of COPD: development and validation in two middle-aged population-based cohorts

Walters, E Haydn, Tan, Daniel, Erbas, Bircan, McDonald, Christine F, Bui, Dinh S, Abramson, Michael J, Thompson, Bruce R, Hamilton, Garun S, Lowe, Adrian J, Bickerstaffe, Adrian, Vicendese, Don, Frith, Peter, Benke, Geza P, Perret, Jennifer L, Dharmage, Shyamali C, Jarvis, Debbie L, Hancock, Kerry, Thomas, Paul S, Minelli, Cosetta, Lodge, Caroline J, Burgess, John A, Adams, Robert, Blakely, Tony, Simons, Koen

2021

Overview

BackgroundClassifying individuals at high chronic obstructive pulmonary disease (COPD)-risk creates opportunities for early COPD detection and active intervention.ObjectiveTo 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<5th percentile).SettingGeneral Caucasian populations from Australia and Europe, 10 and 27 centres, respectively.ParticipantsFor 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 methodRisk-prediction models were developed using randomForest then externally validated.ResultsArea under the receiver operating characteristic curve (AUCROC) 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 (AUCROC 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.ConclusionThis 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.

• Publisher: British Thoracic Society,BMJ Publishing Group LTD,BMJ Publishing Group
• Subject: Adult / Asthma / Bronchodilator Agents / Chronic obstructive pulmonary disease / clinical epidemiology / COPD epidemiology / Data collection / Epidemiology / Female / Forced Expiratory Volume / Humans / Machine learning / Methods / Middle age / Middle Aged / Participation / Pulmonary Disease, Chronic Obstructive - diagnosis / Pulmonary Disease, Chronic Obstructive - drug therapy / Pulmonary Disease, Chronic Obstructive - epidemiology / Questionnaires / Respiratory Epidemiology / Spirometry / Vital Capacity