Israel Medical Association Journal

Background: Among the most frequent complications following transcatheter aortic valve replacement (TAVR) is hemostasis imbalance that presents either as thromboembolic or bleeding. Deviations in platelet count (PC) and mean platelet volume (MPV) are markers of hemostasis imbalance.

Objectives: To determine the predictive value of pre- and post-procedural PC and MPV fL 1-year all-cause mortality in patients who underwent TAVR.

Methods: In this population-based study, we included 236 TAVR patients treated at the Tzafon Medical Center between 1 June 2015 and 31 August 2018. Routine blood samples for serum PC levels and MPV fL were taken just before the TAVR and 24-hour post-TAVR. We used backward regression models to evaluate the predictive value of PC and MPV in all-cause mortality in TAVR patients.

Results: In this study cohort, MPV levels 24-hour post-TAVR that were greater than the cohort median of 9 fL (interquartile range 8.5–9.8) were the strongest predictor of 1-year mortality (hazard ratio 1.343, 95% confidence interval 1.059–1.703, P-value 0.015). A statistically significant relationship was seen in the unadjusted regression model as well as after the adjustment for clinical variables.

Conclusions: Serum MPV levels fL 24-hour post-procedure were found to be meaningful markers in predicting 1-year all-cause mortality in patients after TAVR.

Background: Atherosclerosis is a chronic inflammatory process resulting in coronary artery disease.

Objectives: To determine the relationship between inflammatory markers and the angiographic severity of CAD[1].

Methods: We measured inflammatory markers in sequential patients undergoing coronary angiography. This included C-reactive protein, fibrinogen, serum cytokines (interleukin-1 beta, IL-1[2] receptor antagonist, IL-6, IL-8, IL-10) and tumor necrosis factor-alpha), all measured by high sensitivity enzyme-linked immunoabsorbent assay.

Results: There was a significant correlation between TNFα[3] and the severity of CAD as assessed by the number of obstructed coronary vessels and the Gensini severity score, which is based on the proximity and severity of the lesions. Patients had more coronary vessel disease (> 70% stenosis) with increasing tertiles of serum TNFα; the mean number of vessels affected was 1.15, 1.33, and 2.00 respectively (P < 0.001). IL-6 correlated with the Gensini severity score and coronary vessel disease (> 70% stenosis). A weaker correlation was present with IL-1 receptor antagonist. A significant correlation was not found with the other inflammatory markers. After adjustment for major risk factors, multivariate analyses showed that significant independent predictors of CAD vessel disease were TNFα (P < 0.05) and combined levels of TNFα and IL-6 (P < 0.05). IL-6 levels were independently predictive of Gensini coronary score (P < 0.05).

Conclusion: TNFa and IL-6 are significant predictors of the severity of coronary artery disease. This association is likely an indicator of the chronic inflammatory burden and an important marker of increased atherosclerosis risk.