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      KCI등재후보 SCOPUS

      집중 치료실에 입실한 비대상성 간경변 환자의 예후 인자 분석 = The Analysis of Prognostic Factors in Patients with Decompensated Liver Cirrhosis Admitted to the Medical Intensive Care Unit

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      https://www.riss.kr/link?id=A103914151

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      다국어 초록 (Multilingual Abstract)

      Background: Patients with decompensated liver cirrhosis usually resulted in admission to the intensive care unit (ICU) during hospitalization. When admitted to the ICU, the mortality was high. The aim of this study is to identify multiple prognostic f...

      Background: Patients with decompensated liver cirrhosis usually resulted in admission to the intensive care unit (ICU) during hospitalization. When admitted to the ICU, the mortality was high. The aim of this study is to identify multiple prognostic factors for mortality and to analyze the significance of prognostic survival model with each scoring system in patients with decompensated liver cirrhosis who was admitted to the ICU.
      Methods: From January 2008 to December 2008, 60 consecutive patients with decompensated liver cirrhosis were admitted in the ICU and retrospectively reviewed. Prognostic models used were Child-Turcotte-Pugh (CTP), model for end-stage liver disease (MELD), model for end-stage liver disease with incorporation of serum sodium (MELD-Na), acute physiology and chronic health evaluation (APACHE) II, and sequential organ failure assessment (SOFA). The predictive prognosis was analyzed using the area under the receiver’s operating characteristics curve (AUC).
      Results: The median follow up period was 20 months, and ICU mortality was 17% (n = 10). A total of 24 patients (40%) died during the study period. The average survival of five prognostic models was related with the severity of the disease. All of the five systems showed significant differences in the cumulative survival rate, according to the scores on admission, and the MELD-Na had the highest AUC (0.924). Multivariate analysis showed that bilirubin and albumin were significantly related to mortality.
      Conclusions: The CPT, MELD, MELD-Na, APACHE II, and SOFA may predict the prognosis of patients with decompensated liver cirrhosis. The MELD-Na could be a better prognostic predictor than other scoring systems.

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      참고문헌 (Reference)

      1 Vincent JL, "The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine" 22 : 707-710, 1996

      2 Trotter JF, "Specific laboratory methodologies achieve higher model for endstage liver disease (MELD) scores for patients listed for liver transplantation" 10 : 995-1000, 2004

      3 Wehler M, "Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems" 34 : 255-261, 2001

      4 Wehler M, "Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems" 34 : 255-261, 2001

      5 Ferreira FL, "Serial evaluation of the SOFA score to predict outcome in critically ill patients" 286 : 1754-1758, 2001

      6 Ferreira FL, "Serial evaluation of the SOFA score to predict outcome in critically ill patients" 286 : 1754-1758, 2001

      7 Cholongitas E, "Risk factors, sequential organ failure assessment and model for end-stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit" 23 : 883-893, 2006

      8 Cholongitas E, "Prognostic models in cirrhotics admitted to intensive care units better predict outcome when assessed at 48 h after admission" 23 : 1223-1227, 2008

      9 Butt AK, "Predicting hospital mortality in cirrhotic patients: comparison of Child-Pugh and Acute Physiology, Age and Chronic Health Evaluation (APACHE III) scoring systems" 93 : 2469-2475, 1998

      10 Heuman DM, "Persistent ascites and low serum sodium identify patients with cirrhosis and low MELD scores who are at high risk for early death" 40 : 802-810, 2004

      1 Vincent JL, "The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine" 22 : 707-710, 1996

      2 Trotter JF, "Specific laboratory methodologies achieve higher model for endstage liver disease (MELD) scores for patients listed for liver transplantation" 10 : 995-1000, 2004

      3 Wehler M, "Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems" 34 : 255-261, 2001

      4 Wehler M, "Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems" 34 : 255-261, 2001

      5 Ferreira FL, "Serial evaluation of the SOFA score to predict outcome in critically ill patients" 286 : 1754-1758, 2001

      6 Ferreira FL, "Serial evaluation of the SOFA score to predict outcome in critically ill patients" 286 : 1754-1758, 2001

      7 Cholongitas E, "Risk factors, sequential organ failure assessment and model for end-stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit" 23 : 883-893, 2006

      8 Cholongitas E, "Prognostic models in cirrhotics admitted to intensive care units better predict outcome when assessed at 48 h after admission" 23 : 1223-1227, 2008

      9 Butt AK, "Predicting hospital mortality in cirrhotic patients: comparison of Child-Pugh and Acute Physiology, Age and Chronic Health Evaluation (APACHE III) scoring systems" 93 : 2469-2475, 1998

      10 Heuman DM, "Persistent ascites and low serum sodium identify patients with cirrhosis and low MELD scores who are at high risk for early death" 40 : 802-810, 2004

      11 Zauner CA, "Outcome prediction for patients with cirrhosis of the liver in a medical ICU: a comparison of the APACHE scores and liver-specific scoringsystems" 22 : 559-563, 1996

      12 Singh N, "Outcome of patients with cirrhosis requiring intensive care unit support: prospective assessment of predictors of mortality" 33 : 73-79, 1998

      13 Salerno F, "MELD score is better than Child-Pugh score in predicting 3-month survival of patients undergoing transjugular intrahepatic portosystemic shunt" 36 : 494-500, 2002

      14 Saab S, "MELD fails to measure quality of life in liver transplant candidates" 11 : 218-223, 2005

      15 Zimmerman JE, "Intensive care unit admissions with cirrhosis: risk-stratifying patient groups and predicting individual survival" 23 : 1393-1401, 1996

      16 Chemin I, "High incidence of hepatitis B infections among chronic hepatitis cases of unknown aetiology" 34 : 447-454, 2001

      17 Biggins SW, "Evidence-based incorporation of serum sodium concentration into MELD" 130 : 1652-1660, 2006

      18 Wang YW, "Correlation and comparison of the model for end-stage liver disease, portal pressure, and serum sodium for outcome prediction in patients with liver cirrhosis" 41 : 706-712, 2007

      19 Kamath PS, "Advanced Liver Disease Study Group: The model for end-stage liver disease (MELD)" 45 : 797-805, 2007

      20 Knaus WA, "APACHE II: a severity of disease classification system" 13 : 818-829, 1985

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      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2025 평가예정 재인증평가 신청대상 (재인증)
      2022-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2021-12-01 평가 등재후보로 하락 (재인증) KCI등재후보
      2018-02-28 학술지명변경 한글명 : The Korean Journal of Critical Care Medicine -> Acute and Critical Care
      외국어명 : The Korean Journal of Critical Care Medicine -> Acute and Critical Care
      KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2016-06-24 학술지명변경 한글명 : 대한중환자의학회지 -> The Korean Journal of Critical Care Medicine
      외국어명 : The Korean Society of Critical Care Medicine -> The Korean Journal of Critical Care Medicine
      KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2012-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2011-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.07 0.07 0.09
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.1 0.08 0.289 0.12
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