Table 4

Results of probit model analysis to predict in-hospital mortality

Single probit model

Bivariate probit model

Marginal effect (95% C.I.)

Marginal effect (95% C.I.)

Age (by 10 years)

0.002*

( 0.000, 0.004)

0.002

(-0.000, 0.003)

Gender (Female)

-0.000

(-0.004, 0.003)

-0.000

(-0.003, 0.002)

mRS pre-admission

mRS = 0

-

mRS = 1

-0.001

(-0.006, 0.003)

-0.001

(-0.005, 0.002)

mRS = 2

0.003

(-0.004, 0.010)

0.002

(-0.004, 0.008)

mRS = 3

0.003

(-0.004, 0.010)

0.002

(-0.003, 0.007)

Functional severity score¶

0.004**

(0.003, 0.006)

0.003*

(0.001, 0.006)

Functional capability score¶

0.002*

(0.000, 0.003)

0.001

(-0.000, 0.002)

Co-morbidity index (CI > 2)

0.003

(-0.001, 0.006)

0.002

(-0.001, 0.005)

Use of edaravone

0.002

(-0.002, 0.005)

0.001

(-0.002, 0.005)

VEI

0.003

(-0.000, 0.006)

0.001

(-0.013, 0.016)

Training intensity

-0.005**

(-0.007, -0.003)

-0.004*

(-0.007, 0.000)

First stage regression

Friday admission

-0.001

(-0.002, 0.000)

N = 5,482

In the bivariate probit model: ρ = 0.04 [-0.59, 0.64], p = 0.91

CI: Charlson's index; mRS: modified Rankin scale; VEI: very early intervention

¶: Functional severity score indicates the principal component of patient severity. Larger values indicate more severe patient conditions. Functional capability score is the principal component of patient functional capability. Larger values indicate better function.

Matsui et al. BMC Health Services Research 2010 10:213   doi:10.1186/1472-6963-10-213