Huq et al reported a model for predicting where a hospitalized patient with a brain tumor will be discharged. The authors are from Johns Hopkins University.
Patient selection: hospitalized patient with brain tumor
Outcome: discharge location
Parameters:
(1) age of the patient in years
(2) race
(3) marital status
(4) insurance type
(5) admission source (residence prior to admission)
(6) 5-factor modified frailty index (mFI-5) of Huq et al
(7) Karnofsky Performance Status (KPS)
Parameter
Finding
OR
ln OR
age
<=60
1
0.000
> 60
2.02
0.703
race
white
1
0.000
black
1.73
0.548
asian
2.05
0.718
other
1.83
0.604
marital
married
1
0.000
not
1.48
0.392
insurance
private
1
0.000
Medicare
1.46
0.378
Medicaid
1.9
0.642
admission source
home
1
0.000
health care
2.3
0.833
frailty
0
1
0.000
1
1.39
0.329
2+
1.61
0.476
KPS
100
1
0.000
90
1.15
0.140
80
2.8
1.030
70
5.52
1.708
60
7.49
2.014
50
13.72
2.619
< 50
54.47
3.998
value of X =
= SUM(points for all of the parameters) - 3.75
probability of discharge to a site other than home =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.82.
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