scholarly journals Abstract No. 68 Evaluation of the role of antiplatelet therapy in hemodialysis access graft patency following successful percutaneous thrombectomy

2021 ◽  
Vol 32 (5) ◽  
pp. S30
Author(s):  
A. Nagaraj ◽  
S. White ◽  
C. Johnson ◽  
A. Roza ◽  
D. Klinger ◽  
...  
2018 ◽  
Vol 31 (4) ◽  
pp. 603-611 ◽  
Author(s):  
Satinderjit Locham ◽  
Robert J. Beaulieu ◽  
Hanaa Dakour-Aridi ◽  
Besma Nejim ◽  
Mahmoud B. Malas

2014 ◽  
Vol 36 (4) ◽  
pp. 383-388 ◽  
Author(s):  
Rudy J. Rahme ◽  
Samer G. Zammar ◽  
Tarek Y. El Ahmadieh ◽  
Najib E. El Tecle ◽  
Sameer A. Ansari ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Arwa M. Amin ◽  
Lim Sheau Chin ◽  
Dzul Azri Mohamed Noor ◽  
Muhamad Ali SK Abdul Kader ◽  
Yuen Kah Hay ◽  
...  

Dual antiplatelet therapy of aspirin and clopidogrel is pivotal for patients undergoing percutaneous coronary intervention. However, the variable platelets reactivity response to clopidogrel may lead to outcome failure and recurrence of cardiovascular events. Although many genetic and nongenetic factors are known, great portion of clopidogrel variable platelets reactivity remain unexplained which challenges the personalization of clopidogrel therapy. Current methods for clopidogrel personalization includeCYP2C19genotyping, pharmacokinetics, and platelets function testing. However, these methods lack precise prediction of clopidogrel outcome, often leading to insufficient prediction. Pharmacometabolomics which is an approach to identify novel biomarkers of drug response or toxicity in biofluids has been investigated to predict drug response. The advantage of pharmacometabolomics is that it does not only predict the response but also provide extensive information on the metabolic pathways implicated with the response. Integrating pharmacogenetics with pharmacometabolomics can give insight on unknown genetic and nongenetic factors associated with the response. This review aimed to review the literature on factors associated with the variable platelets reactivity response to clopidogrel, as well as appraising current methods for the personalization of clopidogrel therapy. We also aimed to review the literature on using pharmacometabolomics approach to predict drug response, as well as discussing the plausibility of using it to predict clopidogrel outcome.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Tessa J Barrett ◽  
Angela Lee ◽  
Yuhe Xia ◽  
Lawrence Lin ◽  
Margaret Black ◽  
...  

Background: COVID-19 is a global pandemic with patients at increased risk for all-cause mortality. Virus-platelet interactions are linked to viral pathogenesis and increased risk of adverse events. Aim: To investigate the relationship between in vivo platelet activity markers and all-cause mortality in hospitalized patients with COVID-19. Method: Plasma samples were collected from 100 hospitalized patients on the day of PCR-confirmed COVID-19 diagnosis. Thromboxane B 2 (TxB 2 ), P-selectin, and soluble CD40 ligand (sCD40L) were measured in plasma, and mean platelet volume (MPV) assessed. Subjects were followed until discharge or death. Results: Among 100 patients, the median age was 65 years (IQR: 55, 75), 39% were female, and 32 died or experienced a thrombotic event. The baseline platelet activation markers, P-selectin (p=0.02), sCD40L (p=0.03) and MPV (p=0.005) were higher in patients who died. After adjustment for age, sex, race/ethnicity, platelet count, antiplatelet therapy, and chronic obstructive pulmonary disease, TxB 2 (p=0.036), P-selectin (p=0.007), sCD40L (p=0.02) and MPV (p=0.01) were each independently associated with death after multivariable adjustment ( Table 1 ). Conclusions: Biomarkers of platelet activation are significantly associated with death or thrombosis in patients hospitalized with COVID-19. Our findings suggest multiple platelet activation mechanisms may contribute to adverse events. Further investigation into the mechanistic role of platelets in COVID-19 pathogenesis and the potential role of antiplatelet therapy is warranted. Table 1. Multivariable regression models of all-cause mortality. Odds ratios (OR) from logistic regression analysis per SD increase for biomarker levels adjusted for age, sex, race, antiplatelet therapy, platelet count, and chronic obstructive pulmonary disease (COPD).


Author(s):  
Nathan Belkin ◽  
Jordan B. Stoecker ◽  
Benjamin M. Jackson ◽  
Scott M. Damrauer ◽  
Julia Glaser ◽  
...  

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