Evaluation of intensive care unit performance in Lithuania using the SAPS II system

European Journal of Anaesthesiology

Volumn 21, Issue 8, 2004, Pages 619-624

  Vosylius, S ^a   Sipylaite, J ^a   Ivaskevicius, Juozas ^a  

^a VILNIUS UNIVERSITY   (Lithuania)

Author keywords

Health status indicator, severity of illness index; Intensive care units; Mortality, hospital mortality; Outcome assessment

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CALIBRATION; DISEASE SEVERITY; FEMALE; HUMAN; INTENSIVE CARE UNIT; LITHUANIA; MAJOR CLINICAL STUDY; MALE; MORTALITY; OUTCOMES RESEARCH; PERFORMANCE; PREDICTION; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SIMPLIFIED ACUTE PHYSIOLOGY SCORE II; UNIVERSITY HOSPITAL;

AGED; CALIBRATION; FEMALE; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; LITHUANIA; MALE; MIDDLE AGED; MORTALITY; PROGNOSIS; PROSPECTIVE STUDIES; QUALITY ASSURANCE, HEALTH CARE; ROC CURVE; SURVIVAL ANALYSIS;

EID: 4544269417     PISSN: 02650215     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0265021504008063     Document Type: Article

References (21)

1. Teres D, Lemeshow S. When to customize a severity model. Intensive Care Med 1999; 25: 140-142.
2. Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 1993; 270: 2957-2963.
3. Civetta JM, Colton T. How to read a medical article and understand basic statistics. In: Civetta JM, Taylor RW, Kirby RR, eds. Critical Care, 3rd edn. Philadelphia, USA: Lippincott-Raven Publishers, 1997: 3-20.
4. Apolone G, Bertolini G, D'Amico R, et al. The performance of SAPS II in a cohort of patients admitted to 99 Italian ICUs: results from GiViTI. Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva. Intensive Care Med 1996; 22: 1368-1378.
5. Moreno R, Morais P. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study. Intensive Care Med 1997; 23: 177-186.
6. Moreno R, Reis Miranda DR, Fidler V, Van Schilfgaarde R. Evaluation of two outcome prediction models on an independent database. Crit Care Med 1998; 26: 50-61.
7. Metnitz PGH, Vesely H, Valentin A, et al. Evaluation of an interdisciplinary data set for national intensive care unit assessment. Crit Care Med 1999; 27: 1486-1491.
8. Timsit JF, Fosse JP, Troche G, et al. Accuracy of a composite score using daily SAPS II and LOD scores for predicting hospital mortality in ICU patients hospitalized for more than 72h. Intensive Care Med 2001; 27: 1012-1021.
9. Bodmann KF, Ehlers B, Habel U, et al. Epidemiological and prognostic data from 2054 patients of an internal medicine intensive care unit. Dtsch Med Wochenschr 1997; 122: 919-925.
10. Schuster HP, Schuster EP, Ritschel P, Wilts S, Bodmann KF. The ability of the simplified acute physiology score (SAPS II) to predict outcome in coronary care patients. Intensive Care Med 1997; 23: 1056-1061.
11. Markgraf R, Deutschinoff G, Pientka L, Scholten T. Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: a prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit. Crit Care Med 2000; 28: 26-33.
12. Katsaragakis S, Papadimitropoulos K, Antonakis P, Stergiopoulos S, Konstadoulakis MM, Androulakis G. Comparison of acute physiology and chronic health evaluation II (APACHE II) and simplified acute physiology score II (SAPS II) scoring systems in a single Greek intensive care unit. Crit Care Med 2000; 28: 426-432.
13. Livingston BM, MacKirdy FN, Howie JC, Jones R, Norrie JD. Assessment of the performance of five intensive care scoring models within a large Scottish database. Crit Care Med 2000; 28: 1820-1827.
14. Metnitz PGH, Valentin A, Vesely H, et al. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Intensive Care Med 1999; 25: 192-197.
15. Nouira S, Belghith M, Elatrous S, et al. Predictive value of severity scoring systems: comparison of four models in Tunisian adult intensive care units. Crit Care Med 1998; 26: 852-859.
16. Zimmerman JE, Wagner DP. Prognostic systems in intensive care: how do you interpret an observed mortality that is higher than expected? Crit Care Med 2000; 28: 258-260.
17. Bastos PG, Knaus WA, Zimmerman JE, et al. The importance of technology for achieving superior outcomes from intensive care. Intensive Care Med 1996; 22: 664-669.
18. Glance LG, Osler T, Shinozaki T. Effect of varying the case mix on the standardized mortality ratio and W statistic. A simulation study. Chest 2000; 117: 1112-1117.
19. Bosman RJ, van Straaten HM, Zandstra DF. The use of intensive care information systems alters outcome prediction. Intensive Care Med 1998; 24: 953-958.
20. Arts D, de Keizer N, Scheffer G-J, de Jonge E. Quality of data collected for severity of illness scores in the Dutch national intensive care evaluation (NICE) registry. Intensive Care Med 2002; 28: 656-659.
21. Apolone G. The state of research on multipurpose severity of illness scoring systems: are we on target? Intensive Care Med 2000; 26: 1727-1729.