Table 4.
fi | Total MP counts /ml | MP counts as a continuous variable | ||||
---|---|---|---|---|---|---|
Mean ± SD | Low (< 3/ml) (N = 16) |
High (≥ 3/ml) (N = 20) |
P a | β | P b | |
hsCRP (mg/dl) | 0.21 ± 0.39 | 0.07 ± 0.04 | 0.32 ± 0.5 | 0.424 | 0.050 | < 0.001 |
PT (s) | 12.51 ± 0.60 | 12.47 ± 0.68 | 12.54 ± 0.55 | 0.730 | -0.018 | 0.423 |
aPTT (s) | 34.88 ± 2.90 | 33.78 ± 2.87 | 35.75 ± 2.67 | 0.037 | 0.096 | 0.340 |
Antithrombin III (IU) | 102.61 ± 9.30 | 104.56 ± 10.15 | 101.05 ± 8.51 | 0.652 | -0.632 | 0.054 |
Platelet count (10³/µl) | 231.61 ± 45.91 | 207.19 ± 29.25 | 251.15 ± 47.98 | 0.081 | 1.084 | 0.428 |
ESR (mm/h) | 7.61 ± 9.00 | 7 ± 11.48 | 8.1 ± 6.69 | 0.166 | 0.240 | 0.416 |
Fibrinogen (mg/dl) | 303.64 ± 68.03 | 292.31 ± 61.22 | 312.7 ± 73.29 | 0.569 | 4.260 | 0.036 |
The β coefficient and P values were estimated using multivariate linear regression models. Multivariate linear regression models were used to adjust gender, age, education, job, marital status, smoking, alcohol, and physical inactivity; asignificance of the MP count group as a dichotomous variable in the multivariate linear regression model; bA significance of MP counts as a continuous variable in the multivariate linear regression model; MP microplastic, hsCRP C-reactive protein, PT platelet time, aPTT activated partial platelet time, ESR erythrocyte sedimentation rate.