지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.1
- 수록면
- 59 - 64 (6page)
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초록· 키워드
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Purpose: The Simplified Acute Physiology Score (SAPS) 3 was recently proposed to reflect contemporary changes in intensive care practices. SAPS 3 features customized equations for the prediction of mortality in different geographic regions. However, the usefulness of SAPS 3 and its customized equation (Australasia SAPS 3) have never been externally validated in Korea. This study was designed to validate SAPS 3 and Australasia SAPS 3 for mortality prediction in Korea. Materials and Methods: A retrospective analysis of the prospective intensive care unit (ICU) registry was conducted in the medical ICU of Samsung Medical Center. Calibration and discrimination were determined by the Hosmer-Lemeshow test and area under the receiver operating characteristic (aROC) curve from 633 patients. Results: The mortalities (%) predicted by SAPS 3, Australasia SAPS 3, and SAPS II were 42 ± 28, 39 ± 27 and 37 ± 31, respectively. The calibration of SAPS II was poor (p = 0.003). SAPS 3 and Australasia SAPS 3 were appropriate (p > 0.05). The discriminative power of all models yielded aROC values less than 0.8. Conclusion: In Korea,mortality rates predicted using general SAPS 3 and Australasia SAPS 3 exhibited good calibration and modest discrimination. However, Australasia SAPS 3 did not improve the mortality prediction. To better predict mortality in Korean ICUs, a new equation may be needed specifically for Korea.
#Severity-of-illness
#customization
#SAPS 3
#intensive care unit Several prognostic scoring systems have been developed to predict hospital mortality in intensive care unit
#ICU) patients
#the most famous being the Simplified Acute Physiology Score
#SAPS)
#the Acute Physiologic and Chronic Health Evaluation
#APACHE) Score
#and the Mortality Prediction Model
#MPM). These scores can be used as an aid to clinical management
#resource allocation
#and quality assessment.1
#2 However
#whether these scoring systems can accurately predict mortality in a modern-day ICU is not known.1-7
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등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
Aggarwal AN / 2006 / Performance of standard severity scoring systems for outcome prediction in patients admitted to a respiratory intensive care unit in North India / Respi
Groeger JS / 1998 / Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model / J Clin Oncol 16 : 761 ~ 770
Knaus WA / 1985 / APACHE II: a severity of disease classification system / Crit Care Med 13 : 818 ~ 829
Knaus WA / 1991 / The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults / Chest 100 : 1619 ~ 1636
Le Gall JR / 1993 / A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study / JAMA 270 : 2957 ~ 2963
Groeger JS / 1998 / Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model / J Clin Oncol 16 : 761 ~ 770
Knaus WA / 1985 / APACHE II: a severity of disease classification system / Crit Care Med 13 : 818 ~ 829
Knaus WA / 1991 / The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults / Chest 100 : 1619 ~ 1636
Le Gall JR / 1993 / A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study / JAMA 270 : 2957 ~ 2963
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