Description

Patients with a peripheral blood hematopoietic stem cell (PBSCT) or bone marrow transplant (BMT) tend to have a poor prognosis if they are admitted to the intensive care unit (ICU). Price et al developed a prognostic model for predicting mortality in these patients. This can help determine if intubation or other intervention is likely to benefit the patient. The authors are from MD Anderson Cancer Center in Houston.


 

Parameters identified in multiple logistic regression:

(1) intubation

(2) type of transplant

(3) infection

(4) respiratory rate

(5) days since transplant

(6) GI bleeding

(7) total bilirubin

(8) heart rate

 

Parameter

Finding

Points

intubated

no

0

 

yes

1

type of transplant

non-allogenic

0

 

allogenic

1

infection

absent

0

 

probable

1

respiratory rate in breaths/minute

 

(respiratory rate)

days since transplant

 

(days) /100

GI bleeding

absent

0

 

present

1

total bilirubin in mg/dL

 

LN(bilirubin)

heart rate in beats/minute

 

(heart rate)

 

X =

= (2.516 * (points for intubation)) + (1.525 * (points for transplant type)) + (4.412 * (points for infection)) + (0.088 * (points for respiratory rate)) + (0.635 * (points for days)) - (0.031 * ((points for days)^2)) + (3.177 * (points for GI bleeding)) + (0.884 * (points for bilirubin)) + (0.292 * (points for heart rate)) - (0.0013 * ((points for heart rate)^2)) – 25.501

 

probability of mortality =

= EXP(X) / (1 + EXP(X))

 


To read more or access our algorithms and calculators, please log in or register.