Evidence map›Paper›PMID 39901092›Full record

ArticleBMC pulmonary medicine2025

Screening of COPD patients using the COPD diagnostic questionnaire and a portable spirometer in primary healthcare institutions: a cross-sectional, diagnostic study.

Feng Chen, Qingrong Nie, Xuefeng Han, Chunjuan Li, Qimeng Liu, Feifei Xu, Li Zhang, Le Qiao, Maoxin Li, Ying Zhang and 1 more

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Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

11 authors.

Feng ChenLiangxiang Teaching Hospital Affiliated to Capital Medical University, Beijing, China. chenf329@sina.com.
Qingrong NieLiangxiang Teaching Hospital Affiliated to Capital Medical University, Beijing, China.
Xuefeng HanLiangxiang Teaching Hospital Affiliated to Capital Medical University, Beijing, China.
Chunjuan LiLiangxiang Teaching Hospital Affiliated to Capital Medical University, Beijing, China.
Qimeng LiuLiangxiang Teaching Hospital Affiliated to Capital Medical University, Beijing, China.
Feifei XuLiangxiang Teaching Hospital Affiliated to Capital Medical University, Beijing, China.
Li ZhangChangyang Community Health Service Center, Fangshan District, Beijing, China.
Le QiaoHancunhe Community Health Service Center, Fangshan District, Beijing, China.
Maoxin LiLiulihe Community Health Service Center, Fangshan District, Beijing, China.
Ying ZhangYancun Community Health Service Center, Fangshan District, Beijing, China.
Haiyan WangLiangxiang Community Health Service Center, Fangshan District, Beijing, China.

Funding

Special Research Projects for Capital Health Development No. 2022-3-7071
6 · The paper itself

Abstract

backgroundPortable spirometers and chronic obstructive pulmonary disease (COPD) diagnostic questionnaires are commonly used for screening patients with COPD in primary healthcare institutions, but their accuracy is often inadequate. This study aimed to explore the accuracy of combining these two tools in screening for COPD.

methodsParticipants aged ≥ 40 years were recruited from primary healthcare institutions between July 2022 and July 2023. All participants completed COPD diagnostic questionnaires (CDQs) and pulmonary function tests including pre and post bronchodilator maneuvers using a portable spirometer at primary healthcare institutions and a conventional spirometer at a tertiary hospital. COPD was diagnosed based on the forced expiratory volume/forced vital capacity (FEV

resultsOf the 2,120 participants, 264 were newly diagnosed with COPD. Among the non-COPD population, 264 participants were matched by age, sex, and BMI to form the non-COPD group. The sensitivity and specificity of the combination of the portable spirometer and CDQ in diagnosing COPD were 96.6% (95% confidence interval [CI]: 0.934-0.983) and 79.9% (95% CI: 0.745-0.845), respectively, significantly higher than those with the use of either method alone (p < 0.05). The area under the ROC curve for the combined diagnosis of COPD was 0.994 (95% CI: 0.983-0.999), with a Jordan index of 0.765.

conclusionsOur findings suggest that combining the portable spirometer with the CDQ enhances COPD detection and is a valuable approach for implementation in primary healthcare institutions.

trial registrationThis study has been registered in national medical research registration and filing information system of China, www.medicalresearch.org.cn , Trail registration number: MR-11-23-020214.

Indexed as

Mass ScreeningPulmonary Disease, Chronic ObstructiveSpirometryAdultAgedCross-Sectional StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedPrimary Health CareROC CurveSensitivity and SpecificitySurveys and QuestionnairesVital CapacityChronic obstructive pulmonary diseaseDiagnostic questionnairePortable spirometerPrimary healthcare institutions

Identifiers

PMID39901092
PMCPMC11789370

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.