Multicentre study evaluates PUMA's effectiveness in identifying COPD in at-risk primary care patients, suggesting its utility.
The PUMA scale has shown good discrimination in identifying people with COPD in primary care. We evaluated the predictive performance of PUMA for opportunistic case-finding and assessed the prevalence of COPD in at-risk primary care patients in Singapore. This is a multicentre cross-sectional study of participants aged ≥40 years and current/former smokers. Participants completed the PUMA scale and spirometry. Predictive performance of PUMA was assessed using AUC-ROC; optimal cutoff was determined by Youden’s index. 359 participants were included in final analysis; 12.5% had COPD confirmed on spirometry. PUMA showed acceptable discrimination with AUC-ROC of 0.75 (95% CI:0.67–0.83). Optimal cutoff maximising sensitivity and specificity was ≥5 (Se 62.2%, Sp 79.3%; PPV 30.1%, NPV 93.6%); cutoff of ≥4 increased sensitivity to 80.0% (Sp of 56.7%; PPV 20.9%, NPV 95.2%.). The PUMA scale demonstrated acceptable predictive performance for opportunistic COPD case-finding in Singapore’s primary care setting. A cutoff of ≥4 enhanced case identification.
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Qin et al. (2026) studied this question.
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