Gene mutations in sporadic lymphangioleiomyomatosis and genotype–phenotype correlation analysis

BMC Pulmonary Medicine

Table 3 Multivariable linear regression analysis between clinical parameters and TSC2 mutation, adjusted by age when diagnosed and time with symptoms

	SE	Beta	p-value	Multiple R²
6MWD
Constant	88.545	–	0.000	0.639
TSC2	30.358	− 0.484	*0.031
^aAge	1.697	− 0.596	*0.013
^bOnset	0.293	0.375	0.114
^cFEV₁	1.042	0.426	0.151
VEGF-D	0.010	− 0.012	0.946
^dDL_CO	0.871	− 0.222	0.444
DL_CO
Constant	59.873	–	0.385	0.664
TSC2	9.859	− 0.417	0.060
^aAge	0.653	− 0.236	0.355
^bOnset	0.091	0.374	0.101
FEV₁	0.232	0.793	*0.001
6MWD	0.084	− 0.206	0.444
VEGF-D	0.003	− 0.016	0.928
FEV₁
Constant	47.799	–	0.514	0.698
TSC2	7.724	0.402	0.055
^aAge	0.509	0.256	0.289
^bOnset	0.066	− 0.454	*0.029
DL_CO	0.144	0.713	*0.001
6MWD	0.063	0.357	0.151
VEGF-D	0.002	− 0.112	0.504
VEGF-D
Constant	5557.114	–	0.398	0.159
TSC2	1048.88	0.107	0.776
^aAge	62.085	− 0.190	0.643
^bOnset	9.274	− 0.162	0.668
FEV₁	32.045	− 0.312	0.504
DL_CO	25.693	− 0.040	0.928
6MWD	7.990	− 0.029	0.946

6MWD six-minute walk distance, VEGF-D vascular endothelial growth factor-D, SE standard error
^aAge = age when the patient was diagnosed
^bOnset = time with symptom
^cFEV₁ = forced expiratory volume in first second percent predicted
^dDL_CO = diffusing capacity of carbon monoxide percent predicted

ISSN: 1471-2466