Severity of illness scoring systems in the intensive care unit

被引:169
作者
Keegan, Mark T. [2 ]
Gajic, Ognjen [3 ]
Afessa, Bekele [1 ]
机构
[1] Mayo Clin & Mayo Fdn, Dept Internal Med, Div Pulm & Crit Care Med, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Anesthesiol, Rochester, MN USA
[3] Mayo Clin, Div Crit Care, Dept Internal Med, Rochester, MN USA
关键词
APACHE; benchmarking; critical care; intensive care unit; mortality; outcome assessment; statistical models; ACUTE PHYSIOLOGY SCORE; MORTALITY PROBABILITY-MODELS; POTENTIALLY INEFFECTIVE CARE; CHRONIC HEALTH EVALUATION; ORGAN FAILURE ASSESSMENT; III PROGNOSTIC SYSTEM; 3 ADMISSION SCORE; LENGTH-OF-STAY; HOSPITAL MORTALITY; SAPS-II;
D O I
10.1097/CCM.0b013e3181f96f81
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: Adult intensive care unit prognostic models have been used for predicting patient outcome for three decades. The goal of this review is to describe the different versions of the main adult intensive care unit prognostic models and discuss their potential roles. Data Source: PubMed search and review of the relevant medical literature. Summary: The main prognostic models for assessing the overall severity of illness in critically ill adults are Acute Physiology and Chronic Health Evaluation, Simplified Acute Physiology Score, and Mortality Probability Model. Simplified Acute Physiology Score and Mortality Probability Model have been updated to their third versions and Acute Physiology and Chronic Health Evaluation to its fourth version. The development of prognostic models is usually followed by internal and external validation and performance assessment. Performance is assessed by area under the receiver operating characteristic curve for discrimination and Hosmer-Lemeshow statistic for calibration. The areas under the receiver operating characteristic curve of Simplified Acute Physiology Score 3, Acute Physiology and Chronic Health Evaluation IV, and Mortality Probability Model(0) III were 0.85, 0.88, and 0.82, respectively, and all these three fourth-generation models had good calibration. The models have been extensively used for case-mix adjustment in clinical research and epidemiology, but their role in benchmarking, performance improvement, resource use, and clinical decision support has been less well studied. Conclusions: The fourth-generation Acute Physiology and Chronic Health Evaluation, Simplified Acute Physiology Score 3, Acute Physiology and Chronic Health Evaluation IV, and Mortality Probability Model0 III adult prognostic models, perform well in predicting mortality. Future studies are needed to determine their roles for benchmarking, performance improvement, resource use, and clinical decision support. (Crit Care Med 2011; 39:163-169)
引用
收藏
页码:163 / 169
页数:7
相关论文
共 97 条
[11]   Efficacy and safety of recombinant human activated protein C for severe sepsis. [J].
Bernard, GR ;
Vincent, JL ;
Laterre, P ;
LaRosa, SP ;
Dhainaut, JF ;
Lopez-Rodriguez, A ;
Steingrub, JS ;
Garber, GE ;
Helterbrand, JD ;
Ely, EW ;
Fisher, CJ .
NEW ENGLAND JOURNAL OF MEDICINE, 2001, 344 (10) :699-709
[12]   The use of intensive care information systems alters outcome prediction [J].
Bosman, RJ ;
van Straaten, HMO ;
Zandstra, DF .
INTENSIVE CARE MEDICINE, 1998, 24 (09) :953-958
[13]   Validation of SAPS 3 Admission Score and comparison with SAPS II [J].
Capuzzo, M. ;
Scaramuzza, A. ;
Vaccarini, B. ;
Gilli, G. ;
Zannoli, S. ;
Farabegoli, L. ;
Felisatti, G. ;
Davanzo, E. ;
Alvisi, R. .
ACTA ANAESTHESIOLOGICA SCANDINAVICA, 2009, 53 (05) :589-594
[14]   PREDICTING OUTCOME AMONG INTENSIVE-CARE UNIT PATIENTS USING COMPUTERIZED TREND ANALYSIS OF DAILY APACHE-II SCORES CORRECTED FOR ORGAN SYSTEM FAILURE [J].
CHANG, RWS ;
JACOBS, S ;
LEE, B .
INTENSIVE CARE MEDICINE, 1988, 14 (05) :558-566
[15]   ERRORS AND BIAS IN USING PREDICTIVE SCORING SYSTEMS [J].
COWEN, JS ;
KELLEY, MA .
CRITICAL CARE CLINICS, 1994, 10 (01) :53-72
[16]  
Cullen D J, 1974, Crit Care Med, V2, P57, DOI 10.1097/00003246-197403000-00001
[17]  
DePorter J, 1997, Best Pract Benchmarking Healthc, V2, P147
[18]   INTERHOSPITAL COMPARISONS OF PATIENT OUTCOME FROM INTENSIVE-CARE - IMPORTANCE OF LEAD-TIME BIAS [J].
DRAGSTED, L ;
JORGENSEN, J ;
JENSEN, NH ;
BONSING, E ;
JACOBSEN, E ;
KNAUS, WA ;
QVIST, J .
CRITICAL CARE MEDICINE, 1989, 17 (05) :418-422
[19]   Identifying potentially ineffective care in a community hospital [J].
Fleegler, BM ;
Jackson, DK ;
Turnbull, J ;
Honeycutt, C ;
Azola, C ;
Sirio, CA .
CRITICAL CARE MEDICINE, 2002, 30 (08) :1803-1807
[20]   Accuracy of hospital report cards based on administrative data [J].
Glance, Laurent G. ;
Dick, Andrew W. ;
Osler, Turner M. ;
Mukamel, Dana B. .
HEALTH SERVICES RESEARCH, 2006, 41 (04) :1413-1437