Severity Assessment System for Intensive Care
Based on internationally validated scientific methodology for mortality prediction in ICUs.
Based on Scientific Evidence
SAPS3 (Simplified Acute Physiology Score 3) was developed by an international group of researchers and validated in a multicenter study involving 16,784 patients from 303 ICUs in 35 countries.
The original study published in Intensive Care Medicine in 2005 demonstrated high accuracy in predicting hospital mortality, with an area under the ROC curve of 0.848.
The model uses 20 variables divided into three categories: previous patient characteristics, admission circumstances, and degree of acute physiological dysfunction.
Reference scientific articles:
SAPS 3 - Part 1: Development
Metnitz et al. (2005). SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description.
Download PDFSAPS 3 - Part 2: Validation
Moreno et al. (2005). SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality.
Download PDF
Key findings
- Superior discrimination to previous models (AUC ROC 0.848)
- Specific calibration for different geographic regions
- Single collection at admission (does not require 24h of data)
- Validated in a wide base of patients from 35 countries
- Considers differences between regional health systems
Why choose RISKENTIA?
Accurate Assessment
Based on scientific data and internationally validated, SAPS3 offers specific regional calibration for different populations.
Time Saving
Intuitive interface that allows quick and efficient patient assessment, collecting data only from the first hours of ICU admission.
Detailed Reports
Automatic generation of reports with SMR (Standardized Mortality Ratio) metrics to compare observed with predicted mortality.
Scientific Methodology of SAPS3
The three parts of SAPS3 score:
Age, comorbidities, use of vasoactive drugs, length of hospital stay, location before ICU admission.
These variables represent the chronic health condition and contribute about 50% of the predictive power of the score.
Reason for admission, type of admission (planned or not), surgical interventions, infection and infection site.
These variables reflect the acute process that led to ICU admission and contribute approximately 22.5% of predictive power.
Temperature, blood pressure, heart rate, oxygenation, arterial pH, creatinine, bilirubin, platelets, leukocytes, and Glasgow scale.
These represent the patient's acute physiological response to the disease and contribute approximately 27.5% of predictive power.
Regional Calibration
SAPS3 was designed to deal with regional differences in intensive care outcomes, offering specific equations for:
- Australasia
- Central and Western Europe
- Eastern Europe
- Latin America
- North America
- Africa/Middle East
This regional customization significantly improves the accuracy of predictions when compared to previous models.
Main Features
Patient Management
- Complete registration
- Clinical history
- Daily progression
ICU Management
- Bed control
- Occupancy rate
- Patient distribution
Data Analysis
- Real-time statistics
- Interactive charts
- Custom reports
Security
- Encrypted data
- Access control
- Automatic backup
Plans and Pricing
Free
Try for 30 days
- Access to all features
- 30 days free
- 1 ICU
- Up to 10 beds
- 1 user
- Reports
Basic
USD 240.00 per year
- 1 year
- Up to 3 ICUs
- Up to 30 beds
- Up to 3 users
- Reports
- Email support
Enterprise
Ideal for large hospitals
- Unlimited ICUs
- Unlimited beds
- Unlimited users
- Reports
- Email support
- Exclusive training
Ready to improve your ICU management?
Start now with a 30-day free trial.