About the SAPS II score
SAPS II (Simplified Acute Physiology Score II) is a severity-of-illness score used in intensive care. Published by Le Gall, Lemeshow, and Saulnier in 1993, it is one of the most widely used ICU scoring systems worldwide. The score is built from the worst physiological measurements recorded during a patient's first 24 hours in the ICU and produces a single number, typically 0 to around 163, that rises with the severity of acute illness.
How the score is built
The total sums points from several groups of variables, each compared against fixed bands:
- Age: 0 points under 40, rising in steps to 18 points at 80 and older.
- Twelve physiological variables: heart rate, systolic blood pressure, body temperature, PaO2/FiO2 ratio (scored only if the patient is mechanically ventilated or on CPAP), urine output, blood urea nitrogen, white blood cell count, serum potassium, serum sodium, serum bicarbonate, and total bilirubin.
- Glasgow Coma Scale: 0 points for a GCS of 14-15, up to 26 points for a GCS under 6.
- Type of admission: 0 points for scheduled surgical, 6 for medical, 8 for unscheduled surgical.
- Chronic disease: 9 points for metastatic cancer, 10 for hematologic malignancy, or 17 for AIDS; 0 if none apply.
Adding every band together gives the total SAPS II score.
From score to predicted mortality
The original study converts the score into a predicted probability of hospital death using a logistic regression equation: logit = -7.7631 + 0.0737 x (SAPS II score) + 0.9971 x ln(SAPS II score + 1). The predicted mortality is then e^logit divided by (1 + e^logit), expressed as a percentage. Higher scores translate into a steadily higher predicted mortality, though the relationship is not linear.
When to consult a professional
This tool performs the standard SAPS II arithmetic and logistic-regression conversion for education and record-keeping. It is not a diagnosis and does not direct treatment. Any clinical decision should rest with the treating team, who interpret the score alongside the diagnosis, trends over time, and the whole clinical picture.