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Table 4 Results of probit model analysis to predict in-hospital mortality

From: An exploration of the association between very early rehabilitation and outcome for the patients with acute ischaemic stroke in Japan: a nationwide retrospective cohort survey

  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)
  1. N = 5,482
  2. In the bivariate probit model: ρ = 0.04 [-0.59, 0.64], p = 0.91
  3. CI: Charlson's index; mRS: modified Rankin scale; VEI: very early intervention
  4. ¶: 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.