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A Prediction Model for Depression Risk

우울증에 대한 예측모형

  • Kim, Jaeyong (Department of Statistics, Seoul National University) ;
  • Min, Byungju (Department of Statistics, Seoul National University) ;
  • Lee, Jaehoon (Department of Statistics, Seoul National University) ;
  • Chang, Jae Seung (Department of Psychiatry, Seoul National University Bundang Hospital) ;
  • Ha, Tae Hyon (Department of Psychiatry, Seoul National University Bundang Hospital) ;
  • Ha, Kyooseob (Department of Psychiatry, Seoul National University Bundang Hospital) ;
  • Park, Taesung (Department of Statistics, Seoul National University)
  • 김재용 (서울대학교 통계학과) ;
  • 민병주 (서울대학교 통계학과) ;
  • 이재훈 (서울대학교 통계학과) ;
  • 장재승 (분당서울대학교 정신건강의학과) ;
  • 하태현 (분당서울대학교 정신건강의학과) ;
  • 하규섭 (분당서울대학교 정신건강의학과) ;
  • 박태성 (서울대학교 통계학과)
  • Received : 2014.01.03
  • Accepted : 2014.03.24
  • Published : 2014.04.30

Abstract

Bipolar disorder is a psychopathy characterized by manic and major depressive episodes. It is important to determine the degree of depression when treating patients with bipolar disorder because 810% of bipolar patients commit suicide during the periods in which they experience major depressive episodes. The Hamilton depression rating scale is most commonly used to estimate the degree of depression in a patient. This paper proposes using the Hamilton depression rating scale to estimate the effectiveness of patient treatment based on the linear mixed effects model and the transition model. Study subjects were recruited from the Seoul National University Bundang Hospital who scored 8 points or above in the Hamilton depression rating scale on their first medical examination. The linear mixed effects model and the transition model were fitted using the Hamilton depression rating scales measured at the baseline, six month, and twelve month follow-ups. Then, Hamilton depression rating scale at the twenty-four month follow-up was predicted using these models. The prediction models were then evaluated by comparing the observed and predicted Hamilton depression rating scales on the twenty-four month follow-up.

양극성 장애는 조증 삽화(manic episode)와 주요 우울삽화(major depressive episode)를 특징으로 하는 정신질환이다. 주요 우울삽화 시기에는 양극성 장애 환자들의 810%가 자살하는 것으로 알려져 있다. 그러므로 양극성 장애 환자를 치료할 때, 우울증상의 정도를 측정하는 것이 중요하다. 우울증상의 정도를 측정하기 위해 가장 많이 사용하는 검사법은 해밀턴 우울평가 척도(Hamilton depression rating scale)이다. 본 논문에서는 해밀턴 우울평가척도 점수를 이용하여 환자들의 치료 효과를 예측하기 위해 선형혼합효과모형(linear mixed effects model)과 전이모형(transition model)을 제시하였다. 예측을 위해 사용된 자료는 분당서울대학교병원을 방문하여 초진일 당시의 해밀턴 우울평가 척도 점수가 8 점 이상인 환자들의 정보를 사용하였다. 첫 조사시점부터 6개월, 12개월 후 세 차례에 걸쳐 관측된 해밀턴 우울평가 척도 점수를 선형혼합효과모형과 전이모형에 적합시켰다. 그 결과를 토대로 특정시점의 해밀턴 우울평가 척도 점수를 예측하였다. 첫 조사시점부터 6개월, 12개월 후의 해밀턴 우울평가 척도 점수를 사용해 선형혼합효과모형과 전이모형에 적합 시켰다. 이 모델들을 이용해 조사시점부터 24개월 후의 해밀턴 우울평가 척도 점수를 예측한다. 이 예측모델은 조사된 24개월 후의 점수와 예측된 24개월의 후의 점수를 비교하여 평가하였다.

Keywords

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