Validation of severity scoring systems SAPS II and APACHE II in a single-center population

Abstract

This study validates both SAPS II and APACHE II scores in an ICU population comprised mainly of surgical patients. The type of ICU admission and the location in the hospital before ICU admission influence the predictive ability of the models.

SAPS 3 admission score: an external validation in a general intensive care population

“…These findings were previously described by several authors [5,17]. Nevertheless, other authors found acceptable calibration of the APACHE II score even in recent case mix population sample [18,19]. It appears however that the APACHE II score is nowadays outdated.…”

“…Several authors indeed showed that if the SAPS II model has a good discriminative power, its calibration is poor when applied to an independent case mix [8,17]. However, although it seemed to perform adequately in our patients' sample, we found, like other authors, that the SAPS II predictive model tended to overestimate the hospital mortality [8,17,18]. The present study has potential limitations.…”

A Prospective Study of Comparison of APACHE- I V & SAPS- I I Scoring Systems and Calculation of Standardised Mortality Rate in Severe Sepsis and Septic Shock Patients

“…In this study, the observed hospital mortality of patients with risk of death higher than 60% was overpredicted by SAPS II and underpredicted by APACHE II. This study validated both SAPS II and APACHE II scores in the ICU population which comprised mainly of surgical patients [9].…”

Fatores preditores precoces de reinternação em unidade de terapia intensiva

“…Another trial evidenced advanced age, increased hospital stay before ICU admission (at a ward or room), Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and discharge to a high dependency patients unit, as readmission risk factors. (10) Patients from the ward are acknowledged as having increased ICU morbi-mortality risk, perhaps due to the lack of their underlying disease resolution before reaching the ICU, (8,16) but in our study, surgical population had shorter hospital length of stay before surgery leading to the ICU. Another important factor was advanced age, which is an acknowledged risk factor, because the elderly physiology who recovers from organ injuries at a slower rate, (17) and perhaps increased comorbidities rate.…”

“…(5)(6)(7) The relationship between possible risk factors may be complex, as there are many confounding and/or intrinsically related factors, such as advanced age and acute disease severity scores. (8) We thus developed a prospective observational study aiming to analyze readmission causes and associated factors, based on demographics and severity data collected at the beginning of patients' ICU stay; additionally, we studied early readmissions frequency and characteristics.…”