Developing a COPD Self-Evaluation Questionnaire in China
Author Information
Author(s): Ma Yiming, Zhan Zijie, Chen Yahong, Zhang Jing, Li Wen, He Zhiyi, Xie Jungang, Zhao Haijin, Xu Anping, Peng Kun, Wang Gang, Zeng Qingping, Yang Ting, Chen Yan, Wang Chen
Primary Institution: Central South University, Changsha, China
Hypothesis
The study aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China.
Conclusion
The COPD-EQ questionnaire was validated to be reliable and accurate in COPD screening for the Chinese population.
Supporting Evidence
- The study recruited 1824 outpatients from 12 sites, with 404 (22.1%) diagnosed with COPD.
- The final version of the COPD-EQ questionnaire was shortened to six items.
- The scoring-based method achieved an AUC score of 0.734 at a threshold of 4.0.
- The study demonstrated that age and smoking history are significant risk factors for COPD.
- Machine learning models improved the screening performance of the COPD-EQ questionnaire.
Takeaway
Researchers created a simple questionnaire to help doctors find out if people in China have COPD, which is a serious lung disease.
Methodology
The study used a Delphi method to develop the questionnaire and validated it through a nationwide multicentre prospective study with machine learning methods.
Potential Biases
Potential recall bias from participants not accurately remembering past events.
Limitations
The study may have issues with recall bias and the need for validation in different populations.
Participant Demographics
The average age of participants was 57.1 years, with 38.37% being male.
Statistical Information
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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