Aspirin, stroke and drug-drug interactions

Russo, Nicholas W.; Petrucci, Giovanna; Rocca, Bianca

doi:10.1016/j.vph.2016.10.006

Cited by 27 publications

(18 citation statements)

References 94 publications

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“…ASA is not relevantly metabolized by cytochrome 450 (CYP450) enzymes, and it is not a substrate of transporters. It may compete with other non-steroidal anti-inflammatory drugs (NSAIDs) that also act on COX-1, lowering the ASA effect (112).…”

Section: Antiplatelet Treatmentmentioning

confidence: 99%

The pharmacological treatment of acute vestibular syndrome

et al. 2022

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Acute vestibular syndrome (AVS) represents a clinical picture that involves urgent management due to the important procession of symptoms accompanying the event, which can be positively or negatively influenced by therapeutic choices and intervention timing. This forces a differential diagnosis and therapeutic choices to be made in conditions that are not always favorable and often not in the specialist field. In this work, we will examine in detail the pharmacological therapeutic possibilities, correlating them to the differential and, as far as possible, to the etiological diagnosis. In particular, the pharmacological possibilities for the two main conditions we can face will be investigated, namely, vestibular neuritis and posterior circulation stroke.

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Section: Antiplatelet Treatmentmentioning

confidence: 99%

The pharmacological treatment of acute vestibular syndrome

et al. 2022

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“…However, adverse cardiovascular events such as myocardial reinfarction or stent thrombosis (ST) are still observed in some patients despite DAPT. Several possible causes were put forward to explain the phenomenon of ischemic events in patients on antiplatelet treatment, such as genetic polymorphisms, drugdrug interactions, or HTPR (Buonamici et al, 2007;Russo et al, 2016). HTPR observed during both ASA and P2Y 12 receptor antagonists therapy was associated with a higher risk of adverse cardiovascular events (Buonamici et al, 2007;Aradi et al, 2010;Dannenberg et al, 2020).…”

Section: Microrna Studies Linked With Antiplatelet Treatmentmentioning

confidence: 99%

MicroRNA as Potential Biomarkers of Platelet Function on Antiplatelet Therapy: A Review

et al. 2021

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MicroRNAs (miRNAs) are small, non-coding RNAs, able to regulate cellular functions by specific gene modifications. Platelets are the major source for circulating miRNAs, with significant regulatory potential on cardiovascular pathophysiology. MiRNAs have been shown to modify the expression of platelet proteins influencing platelet reactivity. Circulating miRNAs can be determined from plasma, serum, or whole blood, and they can be used as diagnostic and prognostic biomarkers of platelet reactivity during antiplatelet therapy as well as novel therapeutic targets in cardiovascular diseases (CVDs). Herein, we review diagnostic and prognostic value of miRNAs levels related to platelet reactivity based on human studies, presenting its interindividual variability as well as the substantial role of genetics. Furthermore, we discuss antiplatelet treatment in the context of miRNAs alterations related to pathways associated with drug response.

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“…The use of anti-platelet aggregation drugs [ 84 ] and statins [ 85 , 86 ] for patients with ischemic stroke can improve the prognosis of patients. For patients with hemorrhagic stroke, dehydration to reduce intracranial pressure and proper blood pressure control can improve the prognosis of patients.…”

Section: Disscussionmentioning

confidence: 99%

Predictors of urinary tract infection in acute stroke patients

Zhao

2020

Medicine

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Patients with stroke have a high risk of infection which may be predicted by age, procalcitonin, interleukin-6, C-reactive protein, National Institute of Health stroke scale (NHSS) score, diabetes, etc. These prediction methods can reduce unfavourable outcome by preventing the occurrence of infection. We aim to identify early predictors for urinary tract infection in patients after stroke. In 186 collected acute stroke patients, we divided them into urinary tract infection group, other infection type groups, and non-infected group. Data were recorded at admission. Independent risk factors and infection prediction model were determined using Logistic regression analyses. Likelihood ratio test was used to detect the prediction effect of the model. Receiver operating characteristic curve and the corresponding area under the curve were used to measure the predictive accuracy of indicators for urinary tract infection. Of the 186 subjects, there were 35 cases of urinary tract infection. Elevated interleukin-6, higher NIHSS, and decreased hemoglobin may be used to predict urinary tract infection. And the predictive model for urinary tract infection (including sex, NIHSS, interleukin-6, and hemoglobin) have the best predictive effect. This study is the first to discover that decreased hemoglobin at admission may predict urinary tract infection. The prediction model shows the best accuracy.

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Aspirin, stroke and drug-drug interactions

Cited by 27 publications

References 94 publications

The pharmacological treatment of acute vestibular syndrome

The pharmacological treatment of acute vestibular syndrome

MicroRNA as Potential Biomarkers of Platelet Function on Antiplatelet Therapy: A Review

Predictors of urinary tract infection in acute stroke patients

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