Table 3.
LDL-TG quartiles (mg/dL) |
P-trend | |||||
---|---|---|---|---|---|---|
Q1 (3.4–12.3; N = 1649) |
Q2 (12.4–14.6; N = 1541) |
Q3 (14.7–17.9; N = 1594) |
Q4 (18.0–66.4; N = 1575) |
|||
ASCVD | Event, n (%) | 155 (9.40) | 153 (9.93) | 150 (9.41) | 217 (13.78) | <0.001 |
Model 1 | Ref | 1.19 (0.95–1.49) | 1.17 (0.93–1.47) | 1.86 (1.50–2.29) | <0.0001 | |
Model 2 | Ref | 1.11 (0.88–1.41) | 1.08 (0.84–1.38) | 1.45 (1.12–1.88) | 0.02 | |
CHD | Event, n, (%) | 122 (7.40) | 111 (7.20) | 116 (7.28) | 165 (10.48) | 0.001 |
Model 1 | Ref | 1.11 (0.85–1.43) | 1.18 (0.91–1.53) | 1.83 (1.44–2.33) | <0.0001 | |
Model 2 | Ref | 1.04 (0.79–1.37) | 1.11 (0.84–1.47) | 1.44 (1.08–1.94) | 0.05 | |
Ischaemic stroke | Event, n, (%) | 37 (2.24) | 49 (3.18) | 44 (2.76) | 64 (4.06) | 0.02 |
Model 1 | Ref | 1.53 (1.00–2.36) | 1.36 (0.87–2.11) | 2.07 (1.37–3.13) | 0.005 | |
Model 2 | Ref | 1.41 (0.89–2.24) | 1.19 (0.73–1.93) | 1.49 (0.90–2.47) | 0.35 |
Data are presented as n (%) or HR (95% CI). Models as in Table1. P-trend for linearity of hazard ratio of proportional hazard regression model is calculated based on the results of Wald chi-square test on linearity hypothesis of ordered LDL-TG quartiles.