Prediction of Mortality in a Trauma Patient with Severe Hemorrhage Using the Decision Tree of Ninokawa et al

Description

Ninokawa et al evaluated the ratio of serum potassium to ionized calcium for the prognosis of a trauma patient with severe hemorrhage. They created a decision tree for outcomes. The authors are from Tulane University, Our Lady of the Lake Regional Medical Center and Suez Canal University.

Patient selection: trauma with severe hemorrhage and trauma protocol activation within 1 hour at a major trauma center

Parameters:

(1) serum potassium in mmol/L

(2) serum ionized calcium in mmol/L

(3) age of the patient in years

(4) ISS

(5) shock index

ratio of potassium to ionized calcium =

= (serum potassium) / (serum ionized calcium)

K/iCa Ratio	Age	ISS	Shock Index	Mortality
< 5.07	< 45.5	NA	NA	6.5%
< 5.07	>= 45.5	< 19	NA	12.5%
< 5.07	>= 45.5	>= 19	NA	62%
>= 5.07	NA	NA	>= 1.41	21%
>= 5.07	NA	NA	< 1.41	53%

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Prediction of Mortality in a Trauma Patient with Severe Hemorrhage Using the Decision Tree of Ninokawa et al

Description

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