Comparison of two simplified severity scores (SAPS and APACHE II) for patients with acute myocardial infarction

Moreau, Richard; Soupison, Thierry; Vauquelin, Philippe; Derrida, S; Beaucour, Hubert; Sicot, C

doi:10.1097/00003246-198905000-00006

Cited by 60 publications

(18 citation statements)

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“…The area under the ROC curve [10], as a measure of discriminating power, was identical in both groups. The calibration curve [12], comparing observed with predicted proportions of hos- [13] compared SAPS in its first version with APACHE II and a specific coronary prognostic index [14] in 76 patients with acute myocardial infarction. The area under the ROC curve was 0.86 for SAPS, 0.82 for APACHE II, and 0.81 for the coronary prognostic index (differences not statistically significant).…”

Section: Discussionmentioning

confidence: 99%

The ability of the Simplified Acute Physiology Score (SAPS II) to predict outcome in coronary care patients

Schuster

Ritschel

et al. 1997

Intensive Care Medicine

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Section: Discussionmentioning

confidence: 99%

The ability of the Simplified Acute Physiology Score (SAPS II) to predict outcome in coronary care patients

Schuster

Ritschel

et al. 1997

Intensive Care Medicine

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“…General severity classification systems have been validated in different groups of critically ill patients: patients of surgical ICUs [11], patients with acute myocardial infarction [12], in acute renal failure [13], patients with septic shock [14] and trauma victims [15]. In general, scoring systems like Apache II or SAPS were found to assess accurately the prognosis of hospital mortality.…”

Section: Discussionmentioning

confidence: 99%

The predictive value of four scoring systems in liver transplant recipients

et al. 1995

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“…The best results regarding the correct prediction of (Elebute score defined) septic complications as early as on the first postoperative day were achieved by the other scoring systems (Table 3), which were in the range for a good predictive index [34]. All scores were comparable, although they had been established for different purposes and were based on other variables.…”

Section: Scoring Systems As Predictive Criteriamentioning

confidence: 93%

Evaluation of definitions and parameters for sepsis assessment in patients after cardiac surgery

et al. 1994

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In 110 patients undergoing elective heart surgery on extracorporeal circulation, various parameters were studied regarding the early assessment of septic complications. In a first step, the Elebute score definition for postoperative sepsis validated in general surgery patients (score > or = 12) could be confirmed in an extended form (> or = 12 on > or = 2 days) for cardiac surgery patients. According to this definition (overall classification accuracy for clinically defined sepsis-related mortality: 94%), septic complications occurred in 16 patients and were associated with a significantly worse prognosis than in non-septic patients (mortality 69% vs. 1%, p < 0.0001). In contrast, SIRS (best classification criterion: positive on > or = 3 days) displayed a lower specificity for clinically defined sepsis-related mortality, at least during the early postoperative course (accuracy: 67%). Based on the Elebute score classification, other more practicable parameters were investigated regarding their usefulness for an early sepsis risk assessment in post cardiac surgical patients. Five additional severity scores (APACHE II, MOF-Goris, HIS, SAPS, SSS) were comparable (ROC area: 0.94 to 0.96) and superior to plasma PMN-elastase and neopterin, haemodynamics and clinical parameters in predicting the risk for septic complications as early as by the first postoperative day.

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Comparison of two simplified severity scores (SAPS and APACHE II) for patients with acute myocardial infarction

Cited by 60 publications

References 0 publications

The ability of the Simplified Acute Physiology Score (SAPS II) to predict outcome in coronary care patients

The ability of the Simplified Acute Physiology Score (SAPS II) to predict outcome in coronary care patients

The predictive value of four scoring systems in liver transplant recipients

Evaluation of definitions and parameters for sepsis assessment in patients after cardiac surgery

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