Table 6.
Results of two-piecewise logistic regression model
| OBS Index | Elevated ePWV, OR (95%CI)#, P value | |
|---|---|---|
| Inflection point (K) | Unadjusted models | Adjusted models# |
| ≤ 5 | 1.11 (1.06, 1.17) P < 0.0001 | 0.70 (0.51, 0.94) P = 0.019 |
| > 5 | 0.98 (0.98, 0.99) P < 0.0001 | 1.00 (0.96, 1.04) P = 0.945 |
| P for log likelihood ratio test | < 0.001 | 0.028 |
Two-piecewise logistic regression model was used to calculate the threshold effect of the OBS. If the log likelihood ratio test > 0.05, it means the two-piecewise logistic regression model is not superior to the single-line logistic regression model
#Adjusted for age, sex, BMI, race, poverty income ratio, SBP, DBP, smoking status, HbA1c, CRP, TC, HDL, eGFR, DM, CVD, Hypertension, antihypertensive drugs, Lipoprotein-lowering drugs, hypoglycemic drugs