Effects of aspirin resistance and mean platelet volume on vascular access failure in hemodialysis patients

Analysis of predictive factors of thrombosis in autogenous arteriovenous fistula

PURPOSE

To investigate the predictors of early diagnosis of thrombus of autogenous arteriovenous fistula (aAVF).

METHODS

The included patients were divided into the thrombus group with aAVF failure or thrombosis and the control group with good internal fistula function. The general data of the patients, including age, sex, diabetes mellitus, were collected. Platelets (PLT), platelet crit (P-LCR), platelet distribution width (PDW), mean platelet volume (MPV), homocysteine (HCY), and other biochemical data were collected. The predictors of thrombus of aAVF were obtained by the t test and logistic regression analysis, and receiver operating characteristic (ROC) curve analysis was used to compare the area under the ROC curve (AUC) between the combined predictors and the original indicators. The optimal critical value was determined when the Youden index reached its maximum value, and the sensitivity, specificity, accuracy, diagnostic index, and so on were calculated. Finally, prediction was performed by substituting each value in individually.

RESULTS

PLT, PDW, P-LCR, MPV, and HCY showed significant differences between two groups (p < 0.05). Logistic regression analysis showed that, for PLT (OR = 1.014, 95% CI 1.006-1.022, p = 0.01), PDW (OR = 1.295, 95% CI 1.009-1.661, p = 0.042), P-LCR (OR = 1.230, 95% CI 1.089-1.389, p = 0.001), MPV (OR = 1.696, 95% CI 1.101-2.613, p = 0.017), and HCY (OR = 1.332, 95% CI 1.182-1.502, p = 0.01), the difference was significant; PLT, PDW, P-LCR, MPV, and HCY were positively correlated with thrombogenesis (p < 0.05). By logistic regression, a group of the five predictors of PLT, PDW, P-LCR, MPV, and HCY was obtained, and the combined predictors were 0.014*PLT + 0.258*PDW + 0.207*P-LCR + 0.528*MPV + 0.287*HCY. The area under the curve of the combined predictor was 0.933, the sensitivity was 92.4%, the specificity was 81.2%, the maximum diagnostic index was 0.736, the diagnostic cutoff point was 21.790, and the accuracy rate was 87%.

CONCLUSION

PLT, PDW, P-LCR, MPV, and HCY are predictors of thrombus of aAVF. They can better predict thrombus of aAVF, and the combination of these five indicators is better than a single indicator.

Mechanism of Improving Aspirin Resistance: Blood-Activating Herbs Combined With Aspirin in Treating Atherosclerotic Cardiovascular Diseases

Atherosclerotic thrombotic disease continues to maintain a high morbidity and mortality rate worldwide at present. Aspirin, which is reckoned as the cornerstone of primary and secondary prevention of atherosclerotic cardiovascular diseases (ASCVDs), has been applied in clinics extensively. However, cardiovascular events continue to occur even though people utilize aspirin appropriately. Therefore, the concept of aspirin resistance (AR) was put forward by scholars, which is of great significance for the prediction of the clinical outcome of diseases. The pathogenesis of AR may be incorporated with low patient compliance, insufficient dose, genetic polymorphism, increased platelet transformation, inflammation, and the degenerative changes and calcification of platelets. The improvement of AR in the treatment of ASCVDs has gradually become a research hot spot in recent years. Traditional Chinese medicine (TCM) regards individuals as a whole and treats them from a holistic view, which has been found to have advantages in clinical studies on the treatment of AR. Many kinds of blood-activating TCM have the effect of improving AR. The potential mechanism for the improvement of AR by blood-activating herbs combined with aspirin was explored. The combination of blood-activating herbs and aspirin to improve AR is likely to turn into a hot topic of research in the future.

Mean Platelet Volume Predicts Vascular Access Events in Hemodialysis Patients

Arteriovenous fistula (AVF) and arteriovenous graft (AVG) is the vascular access (VA) of 78% of hemodialysis patients (HD) in France. VA dysfunction corresponding to either stenosis requiring angioplasty or acute thrombosis is responsible for 30% of hospitalizations. Mean platelet volume (MPV) is a biological marker of cardiovascular events. We studied MPV in a cohort of HD patients as a predictive marker of VA dysfunction. We conducted a prospective monocentric cohort study that included patients with AVF or AVG on chronic HD (n = 153). The primary outcome was the incidence of VA dysfunction regarding MPV value. The median MPV was 10.8 fL (7.8-13.5), and four groups were designed according to MPV quartiles. Fifty-four patients experienced the first event of VA dysfunction. The incidence of VA dysfunction was higher in patients with the highest MPV: 59% (23 events), 34% (14 events), 27% (11 events), and 18% (6 events), respectively, for the fourth, third, second, and first quartiles (p = 0.001). Multivariate analysis confirmed an independent association between MPV and VA dysfunction-OR 1.52 (1.13-2.07), p < 0.001. VA dysfunction is predicted by MPV level. Patients with the highest MPV have the highest risk of VA events.