RESUMO
Acute physiology and chronic health evaluation II [APACHE II] is one of the most general classification systems of disease severity in Intensive Care Units and Glasgow Coma Score [GCS] is one of the most specific ones. The aim of the current study was to assess APACHE II and GCS ability in predicting the outcomes [survivors, non-survivors] in the Post Anesthesia Care Unit's [PACU]. This was an observational and prospective study of 150 consecutive patients admitted in the PACU during 6-month period. Demographic information recorded on a checklist, also information about severity of disease calculated based on APACHE II scoring system in the first admission 24 h and GCS scale. Logistic regression, Hosmer-Lemeshow test and receiver operator characteristic [ROC] curves were used in statistical analysis [95% confidence interval]. Data analysis showed a significant statistical difference between outcomes and both APACHE II and Glasgow Coma Score [GCS] [P < 0.0001]. The ROC-curve analysis suggested that the predictive ability of GCS is slightly better than APACHE II in this study. For GCS the area under the ROC curve was 86.1% [standard error [SE]: 3.8%], and for APACHE II it was 85.7% [SE: 3.5%], also the Hosmer-Lemeshow statistic revealed better calibration for GCS [chi[2] = 5.177, P = 0.521], than APACHE II [chi[2] = 10.203, P = 0.251]. The survivors had significantly lower APACHE II and higher GCS compared with non-survivors, also GCS showed more predictive accuracy than APACHE II in prognosticating the outcomes in PACU