The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Build the nomogram by risk factors of chronic obstructive pulmonary disease (COPD)

만성 폐쇄성 폐질환의 위험요인 선별을 통한 노모그램 구축

  • Seo, Ju-Hyun (Department of Statistics, Yeungnam University) ;
  • Oh, Dong-Yep (Gyeongsangbuk-Do Livestock Research Institute) ;
  • Park, Yong-Soo (Department of Equine Industry, Korea National College of Agriculture and Fisheries) ;
  • Lee, Jea-Young (Department of Statistics, Yeungnam University)
  • 서주현 (영남대학교 통계학과) ;
  • 오동엽 (경상북도축산기술연구소) ;
  • 박용수 (국립한국농수산대학 말산업학과) ;
  • 이제영 (영남대학교 통계학과)
  • Received : 2017.06.14
  • Accepted : 2017.08.10
  • Published : 2017.08.31
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Abstract

The concentration of fine dust has increased in Korea and people have become more concerned with respiratory diseases. This study selected risk factors for chronic obstructive pulmonary disease (COPD) through demographic and clinical features and constructed a nomogram. First, logistic regression analysis was performed using demographic and clinical feature and the pulmonary function test results of the Korean National Health and Nutrition Examination Survey (KNHANES) $6^{th}$ (2013-2015) and the nomogram was constructed to visualize the risk factors of chronic obstructive pulmonary disease in order to facilitate the interpretation of the analysis results. The ROC curve and calibration plot were also used to verify the nomogram of chronic obstructive pulmonary disease.

최근 미세먼지 농도가 올라감에 따라 사람들은 호흡기 질환에 큰 관심을 가지고 있다. 본 연구는 인구학적 및 임상적 특징을 통한 만성 폐쇄성 폐질환(chronic obstructive pulmonary disease)의 위험요인을 선별하고 이에 따른 노모그램을 구축하였다. 먼저 국민건강영양조사(KNHANES) 6기 (2013-2015)의 인구학적 및 임상적 특징, 폐기능 검사 결과를 사용하여 로지스틱 회귀분석을 실시 하였고 비전공자들도 분석 결과에 대한 해석을 쉽게 할 수 있도록 만성 폐쇄성폐질환의 위험 요 인을 시각화한 노모그램을 구축하였다. 또한 ROC curve와 Calibration plot을 이용하여 만성 폐쇄 성 폐질환의 노모그램을 검증하였다.

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