APACHE Score: Definition and Calculation
What is the APACHE Score?
The APACHE II score is a severity-of-illness scoring system that predicts mortality risk in critically ill patients by incorporating 12 physiologic variables, age, chronic health status, and admission type, with scores ranging from 0 to 71 points. 1
- APACHE II was introduced in 1985 to reflect both premorbid factors (patient age and chronic medical conditions) and acute physiologic derangements in critically ill patients. 1
- The score is calculated using the worst values recorded during the first 24 hours of ICU admission, though admission-only values maintain similar discriminative ability. 2
- APACHE II demonstrates superior mortality prediction compared to other scoring systems, with a pooled area under the curve (AUC) of 0.81. 1
Components of APACHE II Calculation
Acute Physiology Score (APS) – 12 Variables
The acute physiology component assigns 0-4 points for each variable based on deviation from normal:
- Temperature (rectal core temperature) 3
- Mean arterial pressure 3
- Heart rate 3
- Respiratory rate 3
- Oxygenation: Use A-aDO₂ if FiO₂ ≥0.5, or PaO₂ if FiO₂ <0.5 3
- Arterial pH (preferred) or serum HCO₃ if no arterial blood gas available 3
- Serum sodium 3
- Serum potassium 3
- Serum creatinine (double points if acute renal failure present) 3
- Hematocrit 3
- White blood cell count 3
- Glasgow Coma Scale: Score = 15 minus actual GCS 3
Age Points
- <44 years: 0 points
- 45-54 years: 2 points
- 55-64 years: 3 points
- 65-74 years: 5 points
- ≥75 years: 6 points 1
Chronic Health Evaluation
Assign 5 points for nonoperative or emergency postoperative patients, or 2 points for elective postoperative patients if any of the following apply:
- Severe organ insufficiency (liver, cardiovascular, respiratory, renal)
- Immunocompromised state 1
Clinical Interpretation and Risk Stratification
Mortality Prediction Thresholds
- APACHE II ≥8: Optimal cut-off for mortality prediction with 83.3% sensitivity and 91% specificity; triggers enhanced monitoring protocols. 1
- APACHE II ≥15: Indicates severe disease; consider continuous or extended infusion of beta-lactam antibiotics for severe infections, which improves clinical cure rates and reduces mortality. 1
- APACHE II ≥20: Continuous beta-lactam administration shows reduced mortality (RR 0.73) compared to intermittent dosing. 1
- APACHE II score of 15: Provides best diagnostic accuracy for predicting mortality with 85.3% sensitivity and 77.4% specificity. 4
Guideline-Endorsed Applications
- The Infectious Diseases Society of America recommends APACHE II as the preferred severity-of-illness score for risk stratification in adults with complicated intra-abdominal infections when calculated within 24 hours of hospitalization or ICU admission. 5
- The American College of Surgeons recommends APACHE II for acute pancreatitis assessment, with scores ≥8 indicating severe disease and demonstrating the highest accuracy (AUC 0.88) for predicting complications. 6
- Regular recalculation of APACHE II provides critical information about disease progression or recovery, with pattern changes indicating treatment response or onset of complications. 1
Advantages Over Alternative Scoring Systems
- APACHE II outperforms SOFA in discriminative power for mortality prediction (AUC 0.81 vs. 0.75). 1
- Unlike SOFA, APACHE II incorporates age and chronic comorbidities, which are important prognostic factors. 1
- APACHE II can be calculated at any time and used for daily ongoing assessment throughout the ICU stay. 6
Important Caveats and Limitations
- The APACHE II calculation is cumbersome and not all required parameters are routinely collected in every ICU. 1
- Pre-ICU care quality can significantly impact physiological measurements, potentially creating "lead time bias" in mortality predictions. 1
- The original US APACHE II model requires regional recalibration when applied to different healthcare systems, as care patterns before ICU admission vary internationally. 1
- APACHE II was designed for population-level risk stratification and research purposes, not for individual patient triage decisions or to dictate specific treatment choices. 3