Table III.
Multivariable regression model
| Dependent variable | Multivariable predictors* | Coefficient (unstandardized) | 95% CI | P-value |
|---|---|---|---|---|
| Mean platelet volume | HDL-C | –0.024 | –0.039 to –0.009 | 0.002 |
| Sex | –0.543 | –0.061 to –1.025 | 0.028 | |
| Platelet count | –0.004 | –0.001 to –0.008 | 0.015 | |
| Platelet distribution width | HDL-C | –0.064 | –0.034 to –0.094 | 0.00008 |
| Sex | –1.068 | –0.084 to –2.052 | 0.034 | |
| Platelet count | –0.011 | –0.004 to –0.018 | 0.002 | |
| Renal function | –0.017 | –0.038 to 0.003 | 0.091 | |
| Index event (ACS/SCAD) | 0.734 | –0.158 to 1.626 | 0.104 | |
| Reticulated thrombocytes | HDL-C | –0.069 | –0.031 to –0.107 | 0.001 |
| Platelet count | –0.012 | –0.020 to –0.004 | 0.003 | |
| P2Y12 inhibitor | –0.564 | –1.272 to 0.144 | 0.115 | |
| Diabetes mellitus | 0.989 | –0.077 to 2.056 | 0.068 | |
| Index event (ACS/SCAD) | 1.583 | 0.220 to 2.945 | 0.024 | |
| Multiple electrode aggregometry | HDL-C | –0.355 | –0.170 to –0.540 | 0.0003 |
| Triglycerides | –0.028 | –0.058 to 0.001 | 0.059 | |
| P2Y12 inhibitor | –3.908 | –6.646 to –1.169 | 0.006 | |
| Renal function | –0.085 | –0.195 to 0.025 | 0.126 |
*
Multivariable analysis with step-wise backward elimination of variables using a likelihood ratio test with p-value for entry of 0.05 and p-value for removal of 0.15. The following variables were entered into the model: HDL cholesterol (HDL-C), total cholesterol, triglycerides, sex, age, platelet count, high-dose statin intake, current smoking, index event, P2Y12 inhibitor (clopidogrel, prasugrel, ticagrelor), PPI intake, diabetes mellitus, body mass index, glomerular filtration rate. ACS – acute coronary syndrome, SCAD – stable coronary artery disease.