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. Author manuscript; available in PMC: 2020 Oct 1.
Published in final edited form as: J Diabetes Complications. 2019 Jul 26;33(10):107410. doi: 10.1016/j.jdiacomp.2019.107410

Table 3.

Adjusted hazard ratios (and 95% confidence intervals) from Cox proportional hazard regression models for cardiovascular outcomes versus tertile of PEDF. Uses PEDF data measured at two time points.

Event (n) PEDF Tertile Initial Model
HR (95% CI)*
Second Model
HR (95% CI)
MI
 (n=46)
Lowest 1.00 1.00
Second 0.58 (0.26, 1.28) 0.56 (0.24, 1.30)
Third 1.06 (0.56, 2.02) 1.03 (0.48, 2.19)
MI, procedure or
 inoperable disease
 (n=104)
Lowest 1.00 1.00
Second 0.73 (0.44, 1.21) 0.70 (0.41, 1.17)
Third 1.03 (0.66, 1.60) 0.91 (0.54, 1.51)
MI or CV Death
 (n=67)
Lowest 1.00 1.00
Second 0.72 (0.38, 1.36) 0.58 (0.29, 1.14)
Third 1.26 (0.73, 2.18) 1.02 (0.55, 1.89)
Composite Endpoint
 (n=165)
Lowest 1.00 1.00
Second 1.02 (0.69, 1.50) 0.97 (0.64, 1.46)
Third 1.21 (0.84, 1.74) 1.01 (0.66, 1.55)
All Death
 (n=66)
Lowest 1.00 1.00
Second 2.03 (1.06, 3.88) 1.65 (0.82, 3.31)
Third 2.00 (1.03, 3.89) 1.40 (0.68, 2.88)
*

Adjusted for age, minority status, treatment arm and prior cardiovascular event. Moreover, utilization of left-truncation in our marginal multivariate Cox proportional hazard models enables us to account for age at VADT baseline and at first PEDF measurement. These models also allow us to include PEDF measurements at two time points for a single individual when data is available.

Additionally adjusted for smoking status and diabetes duration at date of randomization as well as systolic blood pressure, HDL, use of ACE inhibitors and statins at time of biomarker measurement.