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http://dx.doi.org/10.4332/KJHPA.2009.19.4.018

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

Kim, Se-Won (Research Institute, Seoul Medical Center)
Yoon, Seok-Jun (Graduate School of Public Health, Korea University . Department of Preventive Medicine, College of Medicine, Korea University)
Kyung, Min-Ho (National Cancer Center)
Yun, Young-Ho (National Cancer Center)
Kim, Young-Ae (National Cancer Center,Graduate School of Public Health, Korea University)
Kim, Eun-Jung (Department of Public Health, Korea University)
Kim, Kyeong-Uoon (Department of Nursing, Khottongnae Hyundo University of Social Welfare)
Publication Information
Health Policy and Management / v.19, no.4, 2009 , pp. 18-32 More about this Journal
Abstract
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.
Keywords
Outcome; Comorbidity; Co-morbidity index; lung cancer; mortality; LOS;
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1 Beddhu S, Bruns FJ, Saul M, Seddon P, Ziedel ML. A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients. Am J Med. 2000;108(8): 609-1.3   DOI   ScienceOn
2 Extermann M. Measuring comorbidity in older cancer patients. Eur J Cancer. 2000; 36(4): 453-71.   DOI   ScienceOn
3 Greenland S, Schwartzbaum JA, Finkle WD. Problems due to small samples and sparse data in conditional logistic regression analysis. Am J Epidemiol. 2000 Oct 1;152(7):688-9.   DOI   ScienceOn
4 Groot V, Beckerman H, Lankhorst GJ, Bouter LM. How to measure comorbidity. a critical review of available methods. J clin Epidemiol., 2003;56(3):221-9.   DOI   ScienceOn
5 Rochon PA, Katz JN, Morrow LA, McGilnchey-Berroth R, Ahlquist MM, Sarkarati M, et al. Comorbid illness is associated with survival and length of hospital stay in patients with chronic disability. A prospective comparison of three comorbidity indices. Med Care. 1996;34(11): 1093-1101.   DOI   ScienceOn
6 Iezzoni LI, Foley SM, Daley J, Hughes J, Fisher ES, Jeeren T. Comorbidities, complications, and coding bias. Boes the number of diagnosis codes matter in prediction in-hospital mortality? JAMA. 1992;267(16):2197-203.   DOI   ScienceOn
7 Kane RL. Understanding health care outcomes research. 2nd ed. Jones and Bartlett publishers, 2006.
8 Kaplan MH, Feinstein AR. The importance of classifying initial co-morbidity in evaluatin the outcome of diabetes mellitus. J Chronic Dis. 1974 Sep;27(7-8):387-404.   DOI   ScienceOn
9 Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a Comorbidity Index Using Physician Claims Data. J Clinical Epidemiol. 2000;53(12):1258-1267.   DOI   ScienceOn
10 Klabunde CN, Warren JL, Legler JM. Assessing Comorbidity Using Claims Data: An Overview. Med Care. 2002;40(8 Suppl)Ⅳ:26-35.   DOI   ScienceOn
11 Guadagnoli E, silliman RA, Troyan SL, Kaplan SH, Greenfield S. The impact of age, marital status, and physician-patient interactions on the care of older women with breast carcinoma. Cancer. 1997 Oct 1;80(7):1326-34.   DOI   ScienceOn
12 경민호, 윤석준, 안형식, 황세민, 서현주, 김경훈 등. 위암환자에서 의무기록과 행정자료를 활용한 Charlson Comorbidity Index의 1년 이내 사망 및 재원일수 예측력 연구. 예방의학회지 2009;42(2):117-122.   과학기술학회마을   DOI   ScienceOn
13 윤석준. 건강결과 연구의 개념. 한국의료QA학회지 2007;13(1):9-12.
14 황세민, 윤석준, 안형식, 안형진, 김상후, 경민호 등. 위암수술환자의 건강 결과 측정을 위한 동반상병 측정도구의 유용성 연구. 예방의학회지 2009;42(1):49-58.   과학기술학회마을   DOI   ScienceOn
15 Baldwin LM, Klabunde CN, Green P, Barlow W, Wright G. In search of the perfect comorbidity measure for use with administrative claims data; does it exist? Med Care. 2006; 44(8):745-53.   DOI   ScienceOn
16 Bennet A, Lacaze JC, Caron P, Berrada R, Barbe P, Louvet JP. Correlations between mean LH levels and LH pulse characteristics: differences between normal and anovulatory women, Clin Endocrinol (Oxf). 1991 Nov;35(5):431-7.   DOI
17 Klabunde CN, Harlan LC, Warren JL. Data Sources for Measuring Comorbidity: A Comparison of Hospital Records and Medicare Claims for Cancer Patients. Med Care. 2006;44(10):921-928.   DOI   ScienceOn
18 Kenny PM, King MT, Viney RC, Boyer MJ, Pollicino CA, McLean JM et al. Quality of life and survival in the 2 years after surgery for non small-cell lung cancer. J Clin Oncol. 2008 Jan 10;26(2):233-41.   DOI   ScienceOn
19 Landis JR, Koch GG. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics. 1977;33(2): 363-74.   DOI   ScienceOn
20 Lubke T, Munig SP, Schneider PM, Hulscher AH, Bollschweiler E. Does Charlson-comorbidity index correlate with short-term outcome in patients with gastric cancer? Zentralbl Chir. 2003 Nov;128(11):970-6.(German)   DOI   ScienceOn
21 Matsui K, Goldman L, Johnson PA, Kuntz KM, Cook EF, Lee TH. comorbidity as a correlate of length of stay for hospitalized patients with acute chest pain. J Gen Intern Med. 1996; 11(5): 262-8.   DOI
22 Miller MD, Paradis DF, Houck PR, Mazumdar S, Stack JA, Rifai AH, Mulsant B, Reynolds CF 3rd. Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale. Psychiatry Res. 1992 Mar;41(3):237-48.   DOI   ScienceOn
23 Moro-sibilot D, Aubert A, Diab S, Lantuejoul S, Fourneret P, Brambilla E et al. Comorbidities and Charlson score in resected stage I nonsmall cell lung cancer. Eur Respir J. 2005; 26(3): 480-6.   DOI   ScienceOn
24 Charlson ME, Pompei P, Ales KL, MacKenzie CR. A New Method of Classifying Prognostic comorbidity in Longitudinal Studies: Development and Validation. J Chron Dis. 1987;40(5):373-383.   DOI   ScienceOn
25 Birim O, Maat AP, Kappetein AP, van Meerbeeck JP, Damhuis RA, Bogers AJ. Validation of the Charlson comorbidity index in patients with operated primary non-small cell lung cancer. Eur J Cardiothoracic Surg. 2003;23:30-34.   DOI   ScienceOn
26 Birim O, Kappetein AP, Waleboer M, Puvimanasinghe jP, Eijkemans MJ, Steyerberg EW et al. Long-term survival after non-small cell lung cancer surgery: development and validation of a prognostic model with a preoperative and postoperative mode. J Thorac Cardivasc surg. 2006 Sep;132(3):491-8.   DOI   ScienceOn
27 Libero J, Peiro S, Ordinana R. Chronic comorbidity and outcomes of hodpital care: Length of stay, mortality, and readmission at 30 and 365 days. J clin Epidemiol. 1999 Mar;52(3):171-9.   DOI   ScienceOn
28 Charlson M, Charlson RE, Briggs W, Hollenberg J. Can disease management target patients most likely to generate high costs? The impact of comorbidity. J Gen Intern Med. 2007 Apr;22(4):464-9.   DOI   ScienceOn
29 Deyo RA, Cherkin DC, Cioi MA. Adapting a Clinical comorbidity Index for Use with Icd-9-Cm Administrative Databases. J Clin Epidemiol. 1992;45 (6):613-619.   DOI   ScienceOn
30 Etienne A, Esterni B, Charbonnier A, Mozziconacci MJ, Arnoulet C, Coso D et al. comorbidity is an independent predictor of complete remission in elderly patients receiving induction chemotherapy for acute myeloid leukemia. Cancer. 2007;109(7): 1376-83.   DOI   ScienceOn
31 Shah AN, Vail TP, Taylor D, Pietrobon R. Comorbid illness affects hospital costs related to hip arthroplasty: Quantification of health status and implications for fair reimbursement and surgeon caomparison. J Arthroplasty. 2004 Sep;19(6):700-705. Truong PT, Kader HA, Lacy B, Lesperance M, MacNeil MV, Berthelet E et al. The effects of age and comorbidity on treatment and outcomes in women with endometrial cancer. Am J Clin Oncol. 2005; 28(2); 157-64.   DOI   ScienceOn
32 Newschaffer CJ, Bush TL, Penberthy LT. Comorbidity Measurement in Elderly Female Breast Cancer Patients with Administrative and Medical Records Data. J Clin Epidemiol. 1997;50(6):725-733.   DOI   ScienceOn
33 Nuttall M, van der Meulen J, Emberton M. Charlson scores based on ICD-10 administrative data were valid in assessing comorbidity in patients undergoing urological cancer surgery. J Clin Epidemiol. 2006;59(3): 265-73.   DOI   ScienceOn
34 Piccirillo JF, Spitznagel EL Jr, Vermani N, Costas I, Schnitzler M. Comparison of comorbidity indices for patients with head and neck cancer. Med Care. 2004;42(5): 482-6.   DOI
35 Wang CY, Lin YS, Tzao C, Lee HC, Huang MH, Hsu WH, Hsu HS. Comparison of Charlson comorbidity index and Kaplan-Feinstein index in patients with stage I lung cancer after surgical resection. Eur J Cardiothorac Surg. 2007 Dec;32(6):877-81.   DOI   ScienceOn