OASIS (Oxford Acute Severity of Illness Score)

OASIS Oxford Acute Severity of Illness Score: pre-ICU stay, age, GCS, heart rate, MAP, respiratory rate, temperature, urine output, mechanical ventilation, and elective-surgical status map to a score with predicted in-hospital mortality.

Open the calculator → Runs in your browser. Data leaves only if you deliberately send a problem report from the interactive tool.

Example

Pre-ICU length of stay
2 hours
Age
70 years
Glasgow Coma Scale
10
Heart rate
130 bpm
Mean arterial pressure
55 mmHg
Respiratory rate
28 breaths/min
Temperature
35 °C
Urine output
500 mL/24 h
On mechanical ventilation
Yes

Result: OASIS 51 — predicted in-hospital mortality 58.1%.

The tool opens with these values already filled in. Replace them with your own.

What the result means

Mortality
Predicted in-hospital mortality via logit = −6.1746 + 0.1275·OASIS. A low-input alternative to APACHE II / SAPS II; a model estimate, not an individual prognosis.

What you enter

  • Pre-ICU length of stay
  • Age
  • Glasgow Coma Scale (3–15)
  • Heart rate
  • Mean arterial pressure
  • Respiratory rate
  • Temperature
  • Urine output
  • On mechanical ventilation (+9)
  • Elective surgical admission (leave unchecked for urgent / emergency / medical, +6)
How this is calculated
Inputs
Ten banded variables: pre-ICU stay, age, GCS, heart rate, MAP, respiratory rate, temperature, urine output, mechanical ventilation, and elective vs non-elective status (total 0–75).

Johnson AEW, Kramer AA, Clifford GD. A new severity of illness scale using a subset of Acute Physiology and Chronic Health Evaluation data elements shows comparable predictive accuracy. Crit Care Med. 2013;41(7):1711-1718. Read the source ↗

A reference and educational tool. Not medical, legal, or financial advice, and not a substitute for clinician judgment.

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Built by Clay Good. Source on GitHub.