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. 2022 Jan 11;327(2):151-160.
doi: 10.1001/jama.2021.23065.

Discriminative Accuracy of Chronic Obstructive Pulmonary Disease Screening Instruments in 3 Low- and Middle-Income Country Settings

Collaborators, Affiliations

Discriminative Accuracy of Chronic Obstructive Pulmonary Disease Screening Instruments in 3 Low- and Middle-Income Country Settings

Trishul Siddharthan et al. JAMA. .

Abstract

Importance: Most of the global morbidity and mortality in chronic obstructive pulmonary disease (COPD) occurs in low- and middle-income countries (LMICs), with significant economic effects.

Objective: To assess the discriminative accuracy of 3 instruments using questionnaires and peak expiratory flow (PEF) to screen for COPD in 3 LMIC settings.

Design, setting, and participants: A cross-sectional analysis of discriminative accuracy, conducted between January 2018 and March 2020 in semiurban Bhaktapur, Nepal; urban Lima, Peru; and rural Nakaseke, Uganda, using a random age- and sex-stratified sample of the population 40 years or older.

Exposures: Three screening tools, the COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE; range, 0-6; high risk indicated by a score of 5 or more or score 2-5 with low PEF [<250 L/min for females and <350 L/min for males]), the COPD in LMICs Assessment questionnaire (COLA-6; range, 0-5; high risk indicated by a score of 4 or more), and the Lung Function Questionnaire (LFQ; range, 0-25; high risk indicated by a score of 18 or less) were assessed against a reference standard diagnosis of COPD using quality-assured postbronchodilator spirometry. CAPTURE and COLA-6 include a measure of PEF.

Main outcomes and measures: The primary outcome was discriminative accuracy of the tools in identifying COPD as measured by area under receiver operating characteristic curves (AUCs) with 95% CIs. Secondary outcomes included sensitivity, specificity, positive predictive value, and negative predictive value.

Results: Among 10 709 adults who consented to participate in the study (mean age, 56.3 years (SD, 11.7); 50% female), 35% had ever smoked, and 30% were currently exposed to biomass smoke. The unweighted prevalence of COPD at the 3 sites was 18.2% (642/3534 participants) in Nepal, 2.7% (97/3550) in Peru, and 7.4% (264/3580) in Uganda. Among 1000 COPD cases, 49.3% had clinically important disease (Global Initiative for Chronic Obstructive Lung Disease classification B-D), 16.4% had severe or very severe airflow obstruction (forced expiratory volume in 1 second <50% predicted), and 95.3% of cases were previously undiagnosed. The AUC for the screening instruments ranged from 0.717 (95% CI, 0.677-0.774) for LFQ in Peru to 0.791 (95% CI, 0.770-0.809) for COLA-6 in Nepal. The sensitivity ranged from 34.8% (95% CI, 25.3%-45.2%) for COLA-6 in Nepal to 64.2% (95% CI, 60.3%-67.9%) for CAPTURE in Nepal. The mean time to administer the instruments was 7.6 minutes (SD 1.11), and data completeness was 99.5%.

Conclusions and relevance: This study demonstrated that screening instruments for COPD were feasible to administer in 3 low- and middle-income settings. Further research is needed to assess instrument performance in other low- and middle-income settings and to determine whether implementation is associated with improved clinical outcomes.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Hurst reported receiving personal fees from AstraZeneca for educational and advisory work, nonfinancial support from AstraZeneca to attend meetings, personal fees from Boehringer Ingelheim for educational and advisory work, nonfinancial support from Boehringer Ingelheim to attend meetings, and grants from Nutricia, who provided product for a study of nutritional support in chronic obstructive pulmonary disease, unrelated to the current study. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. STARD Diagram of Participant Flow Through the GECo1 Study
CAPTURE indicates COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk; COPD, chronic obstructive pulmonary disease; COLA-6, COPD in Low- and Middle-Income Countries Assessment; GECo1, Global Excellence in COPD Outcomes 1; LFQ, Lung Function Questionnaire; STARD, Standards for Reporting Diagnostic Accuracy Studies. aGrade F according to American Thoracic Society/European Respiratory Society guidelines.
Figure 2.
Figure 2.. Receiver Operating Characteristic Curves for CAPTURE, COLA-6, and LFQ to Identify Individuals at High Risk for Chronic Obstructive Pulmonary Disease in 3 Low- and Middle-Income Countries
LFQ scores 18 or less and COLA-6 scores 4 or greater signify high risk. See Table 2 for thresholds optimized to 90% sensitivity. Optimization is not possible for CAPTURE, as the instrument does not have a single threshold and is scored in 2 stages. CAPTURE indicates COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk; COLA-6, COPD in Low- and Middle-Income Countries Assessment; LFQ, Lung Function Questionnaire.

Comment in

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