APACHE II Score for Mortality Prediction in Critical Care
The APACHE II (Acute Physiology and Chronic Health Evaluation II) score is the recommended assessment system for predicting mortality risk in critically ill patients, demonstrating superior discriminative power with a pooled AUC of 0.81 compared to other scoring systems. 1
Why APACHE II is Preferred
APACHE II outperforms alternative scoring systems because it incorporates comprehensive patient factors that other systems miss:
- Superior predictive accuracy: APACHE II demonstrates the highest discriminative power for mortality prediction (AUC 0.81) compared to SOFA (AUC 0.75) 1, 2
- Comprehensive assessment: Unlike SOFA, APACHE II includes patient age and chronic health conditions, which are critical factors in predicting outcomes 1, 2
- Validated across conditions: APACHE II has demonstrated the highest accuracy for predicting severe acute conditions compared to other scoring systems like Ranson, BISAP, and CTSI 1
Components of APACHE II
The score incorporates three major categories 1:
- 12 physiologic variables measured during the first 24 hours of ICU admission 1
- Patient age as a prognostic factor 1
- Chronic health evaluation including pre-existing comorbidities 1
Clinical Application Thresholds
Use an APACHE II score of 8 as the optimal cut-off for triggering enhanced monitoring protocols, with 83.3% sensitivity and 91% specificity for mortality prediction 1
For higher-risk patients:
- APACHE II ≥15-17: Consider continuous or extended infusion of beta-lactam antibiotics for severe infections 1
- APACHE II ≥20: Continuous beta-lactam administration shows reduced mortality (RR 0.73) compared to intermittent dosing 1
- APACHE II ≥29.5: Prolonged infusions of piperacillin/tazobactam associated with significantly lower mortality (12.9% vs. 40.5%) 1
Dynamic Monitoring Strategy
Recalculate APACHE II scores regularly to track disease progression:
- Daily scoring provides critical information about patient trajectory 1
- Pattern changes indicate response to treatment or onset of complications like sepsis 1
- This approach is particularly valuable in severe acute pancreatitis management 1
Important Caveats
Regional calibration may be necessary for optimal accuracy:
- The original US APACHE II model showed variable performance when applied to UK patients, requiring local recalibration 1
- Pre-ICU care quality can significantly impact physiological measurements, creating potential "lead time bias" 1
- Different care patterns before ICU admission may explain why mortality prediction models require adjustment in different regions 1
Data collection requirements:
- The APACHE II calculation is cumbersome and not all required parameters are routinely collected 1
- Accurate data collection is critically important and requires sufficient resources 3
- Information should be collected and checked by a small number of properly trained personnel 3
Pediatric Populations
For pediatric patients, use age-specific scoring systems instead of APACHE II 3:
- PRISM III (Pediatric Risk of Mortality): calculated from 72 worst-in-24-hour variables 3
- PIM2 (Paediatric Index of Mortality): based on admission data using ten variables 3
- CRIB II (Clinical Risk Index for Babies): for newborns, updated in 2003 3
Note that PRISM and PIM do not correctly predict mortality in infants less than 1 month of age 3