Table 3.
Parameter | Coefficient (95% CI) | p |
---|---|---|
Simple linear regression of ADMA (log transformed) | ||
Height | − 0.75 (− 1.25, − 0.26) | 0.003 |
Disease duration | 0.0061 (0.00062, 0.012) | 0.029 |
log l-arginine | 0.27 (0.083, 0.45) | 0.005 |
log SDMA | 0.77 (0.62, 0.93) | < 0.001 |
log TG | 0.091 (0.0022, 0.18) | 0.045 |
GFR (normal/low) | 0.12 (0.022, 0.23) | 0.018 |
FVC% pred | − 0.0037 (− 0.0072, 0.00010) | 0.044 |
FEV1% pred | − 0.0035 (− 0.0067, − 0.00020) | 0.038 |
FEF25–75% % pred | − 0.0022 (− 0.0044, 0.000013) | 0.051 |
log Raw | 0.22 (0.10, 0.34) | < 0.001 |
log Gaw | − 0.22 (− 0.33, − 0.10) | < 0.001 |
Simple linear regression of Raw (log transformed) | ||
Age | 0.0046 (0.00019, 0.0090) | 0.041 |
Gender | − 0.20 (− 0.33, − 0.075) | 0.002 |
Height | − 1.22 (− 1.86, − 0.58) | < 0.001 |
Disease duration | 0.0077 (0.00051, 0.015) | 0.036 |
Dyslipidemia | 0.18 (0.043, 0.32) | 0.011 |
Hypertension | 0.19 (0.059, 0.32) | 0.005 |
BMI | 0.014 − 0.000066, 0.029) | 0.051 |
Albumin | − 0.028 (− 0.051, − 0.0052) | 0.017 |
log ADMA | 0.38 (0.17, 0.58) | < 0.001 |
log SDMA | 0.29 (0.031, 0.54) | 0.028 |
FVC% pred | − 0.010 (− 0.015, − 0.0059) | < 0.001 |
FEV1% pred | − 0.14 (− 0.017, − 0.0099) | < 0.001 |
FEV1/FVC | − 0.018 (− 0.0263, − 0.011) | < 0.001 |
FEF25–75% % pred | − 0.15 (− 0.24, − 0.062) | 0.001 |
RV% pred | 0.0022 (0.00033, 0.0042) | 0.022 |
RV/TLC% pred | 0.0068 (0.0037, 0.0098) | < 0.001 |
IC/TLC | − 1.22 (− 1.95, − 0.45) | 0.001 |
SGRQ activity score | 0.0071 (0.0044, 0.0097) | < 0.001 |
SGRQ impacts score | 0.0044 (0.00094, 0.0079) | 0.013 |
SGRQ total score | 0.0059 (0.0025, 0.0093) | 0.001 |
Multiple linear regression of Raw (log transformed) | ||
log ADMA | 0.22 (0.054, 0.383) | 0.01 |
FEF25–75% % pred | − 0.009 (− 0.01, − 0.006) | < 0.001 |
SGRQ activity score | 0.009 (0.004, 0.014) | < 0.001 |
SGRQ total score | − 0.007 (− 0.012, − 0.001) | 0.019 |
Statistically significant p values are indicated in italic (p < 0.05)
Regression coefficient values are presented with their 95% confidence limits
Significant parameters provided by the simple regression (together with the relevant a priori identified parameters) served as an initial model for the multiple regression analysis