COPD (Dec 2022)

Development and Validation of a Screening Questionnaire of COPD from a Large Epidemiological Study in China

  • Dingyi Wang,
  • Guohui Fan,
  • Sinan Wu,
  • Ting Yang,
  • Jianying Xu,
  • Lan Yang,
  • Jianping Zhao,
  • Xiangyan Zhang,
  • Chunxue Bai,
  • Jian Kang,
  • Pixin Ran,
  • Huahao Shen,
  • Fuqiang Wen,
  • Kewu Huang,
  • Yahong Chen,
  • Tieying Sun,
  • Guangliang Shan,
  • Yingxiang Lin,
  • Guodong Xu,
  • Ruiying Wang,
  • Zhihong Shi,
  • Yongjian Xu,
  • Xianwei Ye,
  • Yuanlin Song,
  • Qiuyue Wang,
  • Yumin Zhou,
  • Wen Li,
  • Liren Ding,
  • Chun Wan,
  • Wanzhen Yao,
  • Yanfei Guo,
  • Fei Xiao,
  • Yong Lu,
  • Xiaoxia Peng,
  • Biao Zhang,
  • Dan Xiao,
  • Zuomin Wang,
  • Xiaoning Bu,
  • Hong Zhang,
  • Xiaolei Zhang,
  • Li An,
  • Shu Zhang,
  • Jianguo Zhu,
  • Zhixin Cao,
  • Qingyuan Zhan,
  • Yuanhua Yang,
  • Lirong Liang,
  • Huaping Dai,
  • Bin Cao,
  • Jiang He,
  • Chen Wang,
  • for the China Pulmonary Health (CPH) Study Group

DOI
https://doi.org/10.1080/15412555.2022.2042504
Journal volume & issue
Vol. 19, no. 1
pp. 118 – 124

Abstract

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Objective We aimed to establish an easy-to-use screening questionnaire with risk factors and suspected symptoms of COPD for primary health care settings. Methods Based on a nationwide epidemiological study of pulmonary health among adults in mainland China (China Pulmonary Health, CPH study) between 2012 and 2015, participants ≥40 years who completed the questionnaire and spirometry tests were recruited and randomly divided into development set and validation set by the ratio of 2:1. Parameters including sex, age, BMI, residence, education, smoking status, smoking pack-years, biomass exposure, parental history of respiratory diseases and daily respiratory symptoms were initially selected for the development of scoring system. Receiver operating characteristic (ROC) curve, area under curve (AUC), positive and negative predictive values were calculated in development set and validation set. Results After random split by 2:1 ratio, 22443 individuals were assigned to development set and 11221 to validation set. Ten variables were significantly associated with COPD independently in development set after a stepwise selection by multivariable logistic model and used to develop scoring system. The scoring system yielded good discrimination, as measured by AUC of 0.7737, and in the validation set, the AUC was 0.7711. When applying a cutoff point of ≥16, the sensitivity in development set was 0.69 (0.67 − 0.71); specificity 0.72 (0.71 − 0.73), PPV 0.25 (0.24 − 0.26) and NPV 0.94 (0.94 − 0.95). Conclusion We developed and validated a comprehensive screening questionnaire, COPD-CPHS, with good discrimination. The score system still needs to be validated by large cohort in the future. Supplemental data for this article is available online at https://doi.org/10.1080/15412555.2022.2042504 .

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