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. 2023 Jan 23;12(3):e027649. doi: 10.1161/JAHA.122.027649

Table 3.

Correlation Analyses of Markers of PAD With Computational Microvascular Modeling Parameters

Variable Group Obs k t K tissue φ OFC
pυ
Age Control r 20 0.32 0.19 0.10 −0.22 0.10
P value 0.17 0.42 0.68 0.35 0.67
PAD r 36 −0.05 0.14 −0.13 −0.03 0.01
P value 0.77 0.43 0.46 0.86 0.95
Pooled r 56 0.11 0.25 −0.23 0.14 0.15
P value 0.42 0.06 0.08 0.30 0.27
Body mass index Control r 20 −0.10 0.01 0.10 0.24 −0.20
P value 0.67 0.95 0.67 0.32 0.39
PAD r 36 −0.13 0.02 0.03 −0.01 0.11
P value 0.47 0.90 0.88 0.96 0.52
Pooled r 56 −0.19 −0.15 0.17 0.12 −0.07
P value 0.16 0.28 0.21 0.39 0.62
eGFR Control r 20 0.24 −0.09 −0.03 −0.09 0.02
P value 0.30 0.70 0.91 0.71 0.94
PAD r 36 −0.02 0.24 0.02 −0.08 0.16
P value 0.92 0.17 0.93 0.66 0.36
Pooled r 56 <0.01 0.11 <0.01 −0.08 0.11
P value 1.00 0.43 0.99 0.58 0.41

Pooled, includes both patients with peripheral artery disease and controls. eGFR indicates estimated glomerular filtration rate; k t , transfer rate constant; K tissue, interstitial permeability; Obs, number of observations; OFC, outflow filtration coefficient; PAD, peripheral artery disease; pυ, microvascular pressure; and φ, porosity.