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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: J Surg Res. 2019 Dec 13;248:38–44. doi: 10.1016/j.jss.2019.11.005

Table 3:

Logistic regression demonstrating the improved model discrimination by adding the objective measurement of frailty to the subjective assessment of patient fitness in predicting adverse events following elective abdominal aortic aneurysm repair (EVAR) in the Vascular Quality Initiative (VQI). Model performance assessed by Hosmer & Lemeshow Goodness-of-Fit Test and comparisons between receiver operating curves made using the DeLong method.23

Unfit
C-Statistic
(Subjective measure)
n=2,105		 Hosmer &
Lemeshow
Goodness-of
Fit Test
Pr > Chi
Square		 Unfit or Frail
C-Statistic
(Subjective +
Objective
measure)
n=5,080		 Hosmer &
Lemeshow
Goodness-
of Fit Test
Pr > Chi
Square		 p-value*
Hospital Mortality 0.740 0.883 0.733 0.798 0.993
Any Complication 0.593 0.763 0.609 0.792 0.001
Non-Home Discharge 0.644 0.272 0.706 0.854 <0.001
*

p-value compares model C-statistics for “unfit” vs “unfit OR frail”