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Eun kyoung Lee 2 Articles
Usefulness of Comorbidity Indices in Operative Gastric Cancer Cases.
Se Min Hwang, Seok Jun Yoon, Hyeong Sik Ahn, Hyong Gin An, Sang Hoo Kim, Min Ho Kyeong, Eun Kyoung Lee
J Prev Med Public Health. 2009;42(1):49-58.
DOI: https://doi.org/10.3961/jpmph.2009.42.1.49
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  • 8 Crossref
AbstractAbstract PDF
OBJECTIVES
The purpose of the current study was to evaluate the usefulness of the following four comorbidity indices in gastric cancer patients who underwent surgery: Charlson Comorbidity Index (CCI), Cumulative Illness rating scale (CIRS), Index of Co-existent Disease (ICED), and Kaplan-Feinstein Scale (KFS). METHODS: The study subjects were 614 adults who underwent surgery for gastric cancer at K hospital between 2005 and 2007. We examined the test-retest and inter-rater reliability of 4 comorbidity indices for 50 patients. Reliability was evaluated with Spearman rho coefficients for CCI and CIRS, while Kappa values were used for the ICED and KFS indices. Logistic regression was used to determine how these comorbidity indices affected unplanned readmission and death. Multiple regression was used for determining if the comorbidity indices affected length of stay and hospital costs. RESULTS: The test-retest reliability of CCI and CIRS was substantial (Spearman rho=0.746 and 0.775, respectively), while for ICED and KFS was moderate (Kappa=0.476 and 0.504, respectively). The inter-rater reliability of the CCI, CIRS, and ICED was moderate (Spearman rho=0.580 and 0.668, and Kappa=0.433, respectively), but for KFS was fair (Kappa=0.383). According to the results from logistic regression, unplanned readmissions and deaths were not significantly different between the comorbidity index scores. But, according to the results from multiple linear regression, the CIRS group showed a significantly increased length of hospital stay (p<0.01). Additionally, CCI showed a significant association with increased hospital costs (p<0.01). CONCLUSIONS: This study suggests that the CCI index may be useful in the estimation of comorbidities associated with hospital costs, while the CIRS index may be useful where estimatation of comorbiditie associated with the length of hospital stay are concerned.
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Citations to this article as recorded by  
  • Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in Korea
    Sanghee Lee, Yoon Jung Chang, Hyunsoon Cho
    BMC Medical Research Methodology.2021;[Epub]     CrossRef
  • The Association between Charlson Comorbidity Index and the Medical Care Cost of Cancer: A Retrospective Study
    Seok-Jun Yoon, Eun-Jung Kim, Hyun-Ju Seo, In-Hwan Oh
    BioMed Research International.2015; 2015: 1.     CrossRef
  • The Effect of Oral Cola Ingestion for Endoscopic Inspection of Remnant Stomach: Randomized Case Control Study
    Ho Kim, Key Hyeon Kim, Ji Won Kim, Yong Jeoung, Yang Jae Yoo, Moon Kyung Joo, Beom Jae Lee, Ji Hoon Kim, Jong Eun Yeon, Jong-Jae Park, Kwan Soo Byun, Young Tae Bak, Sang Woo Lee
    The Korean Journal of Helicobacter and Upper Gastrointestinal Research.2014; 14(1): 39.     CrossRef
  • Development of Mortality Model of Severity-Adjustment Method of AMI Patients
    Ji-Hye Lim, Mun-Hee Nam
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(6): 2672.     CrossRef
  • The Impact of Medicaid Expansion to include population with low income on the preventable hospitalizations
    Hyun-Chul Shin, Se-Ra Kim
    Korean Journal of Health Policy and Administration.2010; 20(1): 87.     CrossRef
  • Charlson Comorbidity Index as a Predictor of Long-Term Survival after Surgery for Breast Cancer: A Nationwide Retrospective Cohort Study in South Korea
    Hye Kyung Woo, Jong Hyock Park, Han Sung Kang, So Young Kim, Sang Il Lee, Hyung Ho Nam
    Journal of Breast Cancer.2010; 13(4): 409.     CrossRef
  • Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients
    Se-Won Kim, Seok-Jun Yoon, Min-Ho Kyung, Young-Ho Yun, Young-Ae Kim, Eun-Jung Kim
    Korean Journal of Health Policy and Administration.2009; 19(4): 18.     CrossRef
  • Factors Affecting Health of the Rural Residents
    Dong-Koog Son, Kyu-Sik Lee, Jong-Ku Park, Sang-Baek Koh, Ki-Nam Jin, Eun-Woo Nam, Hae-Jong Lee
    Korean Journal of Health Policy and Administration.2009; 19(4): 1.     CrossRef
The Case-Control Study on the Risk Factors of Cerebrovascular Diseases and Coronary heart Diseases.
Jong Ku Park, Hun Joo Kim, Keum Soo Park, Sung Su Lee, Sei Jin Chang, Kye Chul Shin, Sang Ok Kwon, Sang Baek Ko, Eun kyoung Lee
Korean J Prev Med. 1996;29(3):639-656.
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AbstractAbstract PDF
Cerebrovascular disease and coronary heart disease are the first and the fourth common causes of death among adults in Korea. Reported risk factors of one of these diseases may prevent other diseases. Therefore, we tried to compare and discriminate the risk factors of these diseases. We recruited four case groups and four control groups among the inpatients who were admitted to Wonju Christian Hospital from March, 1994 to November, 1995. Four control groups were matched with each of four case groups by age and sex. The number of patients in each of four case and control groups were 106 and 168 for acute myocardial infarction(AMI), 84 and 133 for subarachnoid hemorrhage(SAH), 102 and 148 for intracerebral hemorrhage(ICH), and 91 and 182 for ischemic stroke(IS) respectively. Factors whose levels were significantly higher in AMI and IS than in responding control group(RCG) were education, economic status, and triglyceride. Factors whose levels were significantly lower in hemorrhagic stroke than in RCG were age of menarch, and prothrombin time. The factor whose level was higher in AMI than in RCG was uric acid. The factor whose level was higher in AMI, ICH, and SAH than in RCG was blood sugar. Factors whose levels were significantly higher in all the case groups than in RCG were earlobe crease, Quetelet index, white blood cell count, hemoglobin, hematocrit, and total cholesterol. The list of risk factors were somewhat different among the four diseases, though none of the risk factors to the one disease except prothrombin time acted as a preventive factor to the other diseases. The percent of grouped cases correctly classified was higher in the discrimination of ischemic diseases(AMI and IS) from hemorrhagic diseases(SAH and ICH) than in the discrimination of cerebrovascular disease from AMI. The factors concerned in the discrimination of ischemic diseases from hemorrhagic diseases were prothrombin time, earlobe crease, gender, age uric aci, education, albumin, hemoglobin, the history of taking steroid, total cholesterol, and hematocrit according to the selection order through forward selection.
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JPMPH : Journal of Preventive Medicine and Public Health