P-POSSUM (Portsmouth-recalibrated mortality)

P-POSSUM — the Portsmouth recalibration of POSSUM: the identical 18 variables with a better-calibrated mortality equation, reported alongside the original POSSUM mortality.

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

Example

Age
4
Cardiac status
2
Respiratory status
2
Systolic blood pressure
2
Pulse
4
Glasgow Coma Score
1
Hemoglobin
4
White-cell count
2
Urea
4
Sodium
2
The other 8 values
Potassium
1
ECG
4
Operative severity
4
Number of procedures
1
Blood loss
4
Peritoneal soiling
4
Malignancy
1
Urgency
4

Result: P-POSSUM physiological score 32, operative score 18: recalibrated predicted mortality 29.7% (original POSSUM equation 50%).

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

What the result means

Divergence
at the minimum 12/6 scores POSSUM predicts ~1.1% but P-POSSUM ~0.2% — the better-calibrated low-risk estimate. Both are kept and cross-linked.

What you enter

  • Age (point grade)
  • Cardiac status (point grade)
  • Respiratory status (point grade)
  • Systolic blood pressure (point grade)
  • Pulse (point grade)
  • Glasgow Coma Score (point grade)
  • Hemoglobin (point grade)
  • White-cell count (point grade)
  • Urea (point grade)
  • Sodium (point grade)
The other 8 fields
  • Potassium (point grade)
  • ECG (point grade)
  • Operative severity (point grade)
  • Number of procedures (point grade)
  • Blood loss (point grade)
  • Peritoneal soiling (point grade)
  • Malignancy (point grade)
  • Urgency (point grade)
How this is calculated
Equation
recalibrated mortality ln[R/(1−R)] = −9.065 + 0.1692·phys + 0.1550·op, on the identical 18 POSSUM variables.

Prytherch DR, Whiteley MS, Higgins B, et al. POSSUM and Portsmouth POSSUM for predicting mortality. Br J Surg. 1998;85(9):1217-1220. 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.