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. 2020 Jul 29;11(6):1570–1579. doi: 10.1002/jcsm.12604

Table 2.

Linear regression models for prediction of forced expiratory volume in 1 s (FEV1) prior to haematopoietic cell transplantation using thoracic (T4) or lumbar (L3) data

Linear Regression Models B SE B β t P‐value
FEV1
Thoracic (n = 296)
Intercept 81.706 9.742 8.387 0.000
Sex (male vs. female) −5.424 1.639 −0.177 −3.310 0.001
Age 0.204 0.057 0.162 3.594 0.000
Disease risk index −0.149 0.965 −0.007 −0.155 0.877
HCT‐CI −0.936 0.360 −0.117 −2.602 0.010
KPS −0.049 0.082 −0.026 −0.602 0.548
Skeletal muscle index 0.135 0.059 0.127 2.282 0.023
Skeletal muscle radiodensity 0.296 0.106 0.132 2.786 0.006
COPD −12.010 0.942 −0.573 −12.751 0.000
R 2 0.492
Lumbar (n = 215)
Intercept 74.739 11.237 6.651 0.000
Sex (male vs. female) −6.064 1.928 −0.195 −3.145 0.002
Age 0.285 0.072 0.218 3.950 0.000
Disease risk index 1.191 1.169 0.051 1.019 0.309
HCT‐CI −1.748 0.431 −0.208 −4.052 0.000
KPS 0.005 0.094 0.003 0.058 0.954
Skeletal muscle index 0.244 0.101 0.153 2.423 0.016
Skeletal muscle radiodensity 0.199 0.123 0.093 1.621 0.106
COPD −11.989 1.188 −0.536 −10.094 0.000
R 2 0.516

COPD, chronic obstructive pulmonary disease, defined by spirometry 22 ; HCT‐CI, haematopoietic cell transplantation‐specific co‐morbidity index; KPS, Karnofsky performance status; SE, standard error.