Keihani et al reported a logistic regression model and nomogram for predicting the need for a bleeding intervention for a patient with high-grade renal trauma. The authors are from multiple institutions in the United States.
Patient selection: high-grade renal trauma (AAST Grade 3, 4 or 5)
Outcome: intervention to control bleeding
Parameters:
(1) trauma mechanism
(2) hypotension or shock
(3) concomitant injuries
(4) vascular contrast extravasation
(5) para-renal hematoma
(6) hematoma rim distance in cm (largest measure from edge of the kidney to the hematoma rim), from 0 to 12
Parameter
Finding
Points LRM
Nomogram
trauma mechanism
blunt
0
penetrating
1.586
34
hypotension or shock
no
yes
0.749
16
concomitant injuries
0.768
16.5
vascular contrast extravasation
1.355
29
para-renal hematoma
0.927
20
hematoma rim distance
0.389 * (cm)
8.33 * (cm)
value of X =
= SUM(points) - 5.109
probability of needing a bleeding intervention =
= 1 / (1 + EXP((-1) * X))
To read more or access our algorithms and calculators, please log in or register.
Specialty: Surgery, orthopedic, Emergency Medicine
