Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients

Charlson Comorbidity Index를 활용한 폐암수술환자의 건강결과 예측에 관한 연구
  • 김세원
  • 경민호
  • 윤영호
  • 윤석준
  • 김영애
  • 외 2명

초록

The goal of this study was to predict the health outcomes of lung cancer surgery based on the Charlson comorbidity index (CCI). An attempt was likewise made to assess the prognostic value of such data for predicting mortality, survival rate, and length of hospital stay. A medical-record review of 389 patients with non-small-cell lung cancer was performed. To evaluate the agreement, the kappa coefficient was tested. Logistic-regression analysis was also conducted within two years after the surgery to determine the association of CCI with death. Survival and multiple-regression analyses were used to evaluate the relationship between CCI and the hospital care outcomes within two-year survival after lung cancer surgery and the length of hospital stay. The results of the study showed that CCI is a valid prognostic indicator of two-year mortality and length of hospital stay, and that it shows the health outcomes, such as death, survival rate, and length of hospital stay, after the surgery, thus enabling the development and application of the methodology using a systematic and objective scale for the results.

키워드

OutcomeComorbidityCo-morbidity indexlung cancermortalityLOS
제목
Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients
제목 (타언어)
Charlson Comorbidity Index를 활용한 폐암수술환자의 건강결과 예측에 관한 연구
저자
김세원경민호윤영호윤석준김영애김은정김경운
발행일
2009-12
유형
Y
저널명
보건행정학회지
19
4
페이지
18 ~ 32