Literature DB >> 11674969

[Severity assessment by APACHE III system in Spain].

G Vázquez Mata1, M del Mar Jiménez Quintana, R Rivera Fernández, M Bravo, E Aguayo De Hoyos, J Zimmerman, D Wagner, W Knaus.   

Abstract

BACKGROUND: To assess the performance of the prediction equation of the APACHE(Acute Physiology Age and Chronic Health Evaluation) III prognostic scoring system when applied in Spain. PATIENTS AND
METHOD: Prospective multicenter cohort study that included 10786 adult patients from 86 Spanish intensive care units (ICU). Data collection during first 24 hours of admission: acute physiology score, age and comorbilties,for calculating APACHE III score; treatment location prior to ICU admission and main diagnosis admission category for applying the mortality prediction equation of APACHE III system. Main outcome was observed hospital mortality.
RESULTS: Age was 57.74 (0.16); 68% males. Non-operative patients represented 76% of sample. APACHE III score was 53.75(0.26); observed and predicted hospital mortality were 21.2% and 19.8% respectively, with a standardized mortality ration of 1.07. The Chi2 Hosmer-Lemershow statistic was (H) 135.6, (C) 133.91: p < 0.001. The area under the Receiver Operating Curve (ROC) was 0.808, and correct classification at mortality risk of 50% was 82%. Uniformity of fit was better for non-operative diagnoses and for patients admitted from the emergency area. Calibration was excellent for risk lower than 60% but slightly underestimated observed risks above this level.
CONCLUSIONS: The American APACHE III equation fit well when applied to Spanish critical patients but with limitations. Discrepancies could be attributed to differences in case-mix and variations in practice style.

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Year:  2001        PMID: 11674969     DOI: 10.1016/s0025-7753(01)72141-0

Source DB:  PubMed          Journal:  Med Clin (Barc)        ISSN: 0025-7753            Impact factor:   1.725


  2 in total

1.  Case mix, outcome and length of stay for admissions to adult, general critical care units in England, Wales and Northern Ireland: the Intensive Care National Audit & Research Centre Case Mix Programme Database.

Authors:  David A Harrison; Anthony R Brady; Kathy Rowan
Journal:  Crit Care       Date:  2004-02-26       Impact factor: 9.097

2.  Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM).

Authors:  Elisabeth D Riviello; Willy Kiviri; Robert A Fowler; Ariel Mueller; Victor Novack; Valerie M Banner-Goodspeed; Julia L Weinkauf; Daniel S Talmor; Theogene Twagirumugabe
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

  2 in total

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