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. 2019 Feb 20;24(5):445–452. doi: 10.1111/resp.13485

Table 5.

Multivariable linear regression analyses demonstrating relationships between pulmonary functional indices and total vessel volume and vessel heterogeneity metrics

Dependent variable Independent variable Beta coefficient 95% CI P‐value R2
FEV1 Normalized vessel volume (%) −6.78 −10.68, −2.87 0.001 0.21
Vessel heterogeneity (1) −126.45 −518.05, 770.95 0.70
FVC Normalized vessel volume (%) −11.61 −15.40, −7.82 <1 × 10−6 0.35
Vessel heterogeneity (1) −214.05 −839.19, 411.08 0.50
DLCO Normalized vessel volume (%) −5.58 −8.16, −3.501 4 × 10−5 0.21
Vessel heterogeneity (1) −680.13 −1103.32, −256.93 0.002
KCO Normalized vessel volume (%) 1.13 −2.83, 5.08 0.57 0.15
Vessel heterogeneity (1) −548.55 −1198.28, 101.18 0.10
TLC Normalized vessel volume (%) −12.63 −15.28, −9.99 <1 × 10−6 0.51
Vessel heterogeneity (1) −528.32 −968.25, −88.39 0.01
CPI Normalized vessel volume (%) 7.46 5.28, 9.65 <1 × 10−6 0.34
Vessel heterogeneity (1) 558.28 231.26, 945.30 0.001

All models were adjusted for patient age, male gender, smoking status (never vs ever) and CT slice thickness (0.7 vs 1.0 mm).

CPI, composite physiologic index; CT, computed tomography; DLCO, diffusion capacity for carbon monoxide; FEV1, forced expiratory volume in the first second; FVC, forced vital capacity; KCO, transfer factor for carbon monoxide; TLC, total lung capacity.