Table 5. Multivariable Cox (proportional hazard) regression analysis for triglyceride prognosticating stroke recurrence among first-ever stroke patients in Malaysia.
Models show estimated regression coefficient (b), standard error (SE), adjusted hazard ratios (Adj HR) with 95% confidence intervals (CI) and the corresponding p-values (n = 8,576). The outcome variable was a time-to-event variable; where the event was stroke recurrence (present or absent) and the time was the number of years to develop the event.
| Variables | TG Model 1 (n = 5,074) |
TG Model 2 (n = 5,074) |
TG Model 3 (n = 5,074) |
|||
|---|---|---|---|---|---|---|
| b (SE) | Adj HR (95% CI) |
b (SE) | Adj HR (95% CI) |
b (SE) | Adj HR (95% CI) |
|
| Events | 246 | 246 | 246 | |||
| Abnormal triglyceride | 0.31 (0.13) | 1.36* (1.05, 1.77) |
0.29 (0.13) | 1.34* (1.03, 1.73) |
0.25 (0.14) | 1.28 (0.98, 1.66) |
| Dyslipidemia | 0.61 (0.13) | 1.84* (1.43, 2.37) |
0.58 (0.13) | 1.78* (1.39, 2.30) |
0.58 (0.13) | 1.78* (1.38, 2.30) |
| Hypertension | 0.36 (0.15) | 1.43* (1.06, 1.92) |
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| Diabetes Mellitus | 0.31 (0.13) | 1.36* (1.05, 1.76) |
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Notes.
HR, Hazard Ratio = exp (β); 95% CI = exp(β-1.965*SE(β)), exp(β+1.965*SE(β)).
level of significance, p = 0.05
Interactions were unlikely.
Scaled and non-scaled Schoenfeld residuals test were applied to check the proportional hazard assumption of the model.