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Related Concept Videos

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Developing and validating a chronic obstructive pulmonary disease quick screening questionnaire using statistical

Xiaoyue Wang1,2, Hong He3,4, Liang Xu5

  • 1Department of Pulmonary and Critical Care Medicine, 92323Zhongshan Hospital, Fudan University, Shanghai, China.

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A new questionnaire effectively identifies individuals at high risk for chronic obstructive pulmonary disease (COPD). This cost-effective tool aids early diagnosis and intervention for COPD, improving patient outcomes.

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Area of Science:

  • Pulmonary Medicine
  • Epidemiology
  • Health Services Research

Background:

  • Active case-finding is crucial for early diagnosis and intervention in chronic obstructive pulmonary disease (COPD).
  • Existing screening methods for COPD lack precision and practicality in healthcare settings.
  • A need exists for an efficient tool to identify individuals at high risk for COPD.

Purpose of the Study:

  • To develop and validate a precise and practical COPD case-finding questionnaire.
  • To identify key predictors for COPD risk using statistical learning models.
  • To create a cost-effective tool for early identification of high-risk populations for COPD.

Main Methods:

  • Four statistical learning models were developed using a multi-center cross-sectional survey database (n=5281).
  • A minimal set of predictors was selected to construct a new case-finding questionnaire.
  • The questionnaire's performance was validated in a prospective cohort (n=958) and compared to existing tools.

Main Results:

  • A seven-predictor set (age, cough, wheeze, smoking cessation, gender, job, pack-years) was identified.
  • The generalized additive model showed the highest AUC (0.813 developing, 0.880 validation).
  • The developed questionnaire outperformed three previously reported case-finding instruments.

Conclusions:

  • A novel COPD case-finding questionnaire has been developed.
  • The questionnaire is an efficient and cost-effective tool for identifying high-risk populations.
  • This tool facilitates early diagnosis and intervention for individuals at risk of COPD.