Rivaroxaban: A Review for Secondary CV Prevention in CAD and PAD

Rivaroxaban versus enoxaparin plus clopidogrel therapy for hypertrophic cardiomyopathy-associated thromboembolism in cats

Background and Aim

Cardiogenic embolism (CE) is a common complication of feline hypertrophic cardiomyopathy (HCM), leading to severe clinical symptoms. This study compared the effects of rivaroxaban and enoxaparin combined with clopidogrel on cats.

Materials and Methods

This was a single-center, prospective, randomized controlled trial. In this study, rivaroxaban or enoxaparin plus clopidogrel was prescribed to 23 cats for at least one of the following events: Abnormal movement of the anterior mitral leaflet during systole, enlargement of the left atrium, spontaneous echocardiographic contrast, or presence of arterial thromboembolism. Oral rivaroxaban (2.5 mg, q24 h) was prescribed to six cats. Subcutaneous injections of enoxaparin (1 mg/kg, q24 h) plus oral clopidogrel (3 mg/kg, PO q24 h) for 60 days were administered to 17 cats. Renal insufficiency and bleeding complications were observed. Plasma concentrations of D-dimer, prothrombin time (PT), partial thromboplastin time, and international normalized ratio (INR) were evaluated. We analyzed the relationship between echocardiography parameters and the effects of coagulation. Blood samples were collected from all cats at baseline and at 1 and 2 months post-treatment.

Results

Rivaroxaban alone and in combination with enoxaparin and clopidogrel significantly affected PT and INR. In cats treated with 2.5 mg/kg rivaroxaban for 60 days, no bleeding or recurrence of thrombus formation was observed. These data support the use of rivaroxaban for the treatment of HCM-associated thromboembolism in cats.

Conclusion

Treatment of HCM-associated thromboembolism with rivaroxaban alone demonstrated clinical effectiveness with no clinical complications in cats.

XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban

BACKGROUND

Hemorrhage is a potential and serious adverse drug reaction, especially for geriatric patients with long-term administration of rivaroxaban. It is essential to establish an effective model for predicting bleeding events, which could improve the safety of rivaroxaban use in clinical practice.

METHODS

The hemorrhage information of 798 geriatric patients (over the age of 70 years) who needed long-term administration of rivaroxaban for anticoagulation therapy was constantly tracked and recorded through a well-established clinical follow-up system. Relying on the 27 collected clinical indicators of these patients, conventional logistic regression analysis, random forest and XGBoost-based machine learning approaches were applied to analyze the hemorrhagic risk factors and establish the corresponding prediction models. Furthermore, the performance of the models was tested and compared by the area under curve (AUC) of the receiver operating characteristic (ROC) curve.

RESULTS

A total of 112 patients (14.0%) had bleeding adverse events after treatment with rivaroxaban for more than 3 months. Among them, 96 patients had gastrointestinal and intracranial hemorrhage during treatment, which accounted for 83.18% of the total hemorrhagic events. The logistic regression, random forest and XGBoost models were established with AUCs of 0.679, 0.672 and 0.776, respectively. The XGBoost model showed the best predictive performance in terms of discrimination, accuracy and calibration among all the models.

CONCLUSION

An XGBoost-based model with good discrimination and accuracy was built to predict the hemorrhage risk of rivaroxaban, which will facilitate individualized treatment for geriatric patients.

Efficacy and safety of rivaroxaban plus clopidogrel versus aspirin plus clopidogrel in patients with coronary atherosclerotic heart disease and gastrointestinal disease undergoing percutaneous coronary intervention: study protocol for a non-inferiority randomized controlled trial

BACKGROUND

Dual antiplatelet therapy (DAPT) with aspirin and a P2Y₁₂ inhibitor is recommended for patients with coronary heart disease (CHD) undergoing percutaneous coronary intervention (PCI) to antithrombosis, meanwhile, increasing the risks of gastrointestinal bleeding. Rivaroxaban, a novel oral anticoagulant, combined with a P2Y₁₂ receptor inhibitor reduces adverse events in patients with CHD and atrial fibrillation who underwent PCI. The effect of rivaroxaban plus P2Y₁₂ inhibitor on reducing bleeding events in patients with CHD and gastrointestinal disease (GID) undergoing PCI remains unclear.

METHOD

The study is a prospective, single-center, randomized controlled trial. A total of 1020 patients with CHD and GID undergoing PCI will be enrolled. Patients are randomized (1:1) to receive either rivaroxaban 10 mg plus clopidogrel 75 mg daily or aspirin 100 mg plus clopidogrel 75 mg daily; both treatments will last 6 months. The primary endpoint is Bleeding Academic Research Consortium (BARC) type 2-5 bleeding requiring medical intervention. The secondary endpoint is a composite of major adverse cardiovascular and cerebrovascular events (MACCE), including all-cause death, cardiac death, nonfatal myocardial infarction, stent thrombosis, ischemia-driven target vessel revascularization, and stroke.

DISCUSSION

The objective of this study is to evaluate the efficacy and safety of rivaroxaban plus clopidogrel versus aspirin plus clopidogrel in patients with CHD and GID undergoing PCI. We aim to explore an optimized antithrombotic strategy, which achieves the same anti-ischemic effect as standard DAPT without increasing the risk of GIB, for patients with CHD and GID undergoing PCI.

TRIAL REGISTRATION

This protocol is registered at the Chinese Clinical Trial Registry under the number ChiCTR2100044319. And this publication is based on version 1.4 of the trial protocol dated Sep 6, 2021.

Oxazolidinone: A promising scaffold for the development of antibacterial drugs

Due to the long-term and widespread use of antibiotics in clinic, the problem of bacterial resistance is increasingly serious, and the development of new drugs to treat drug-resistant bacteria has gradually become the mainstream direction of antibiotic research. The oxazolidinone-containing drugs linezolid, tedizolid phosphate and contezolid have been approved to the market, which are effective against a variety of Gram-positive bacterium infections. Moreover, there are also many antibiotics containing oxazolidinone fragment under clinical investigation that show good pharmacokinetic and pharmacodynamic properties with unique mechanism of action against resistant bacteria. In this review, we summarized the oxazolidinone-based antibiotics already on the market or in clinical trials and the representative bioactive molecules, and mainly focused on their structural optimizations, development strategies and structure-activity relationships in hope of insight into the reasonable design for medical chemists to develop new oxazolidinone antibiotics with highly potency and fewer side effects.

Prophylactic Efficacy and Safety of Antithrombotic Regimens in Patients with Stable Atherosclerotic Cardiovascular Disease (S-ASCVD): A Bayesian Network Meta-Regression Analysis

OBJECTIVE

The aim of this study was to evaluate the efficacy and safety of antithrombotic regimens and their combinations in preventing thrombotic incidents in patients with stable atherosclerotic cardiovascular disease (S-ASCVD).

METHODS

A systematic literature search was conducted in the PubMed, Embase, Cochrane Library, Scopus, and Google Scholar databases. The primary comprehensive endpoint was a major adverse cardiovascular event (MACE) composite of cardiovascular death, stroke, or myocardial infarction, while the secondary endpoints were cardiovascular death, all-cause stroke, ischemic stroke, myocardial infarction, and all-cause death. The safety endpoint was major bleeding. Bayesian network meta-regression analysis in R software was used to calculate the final effect size and to correct for the effect of follow-up time on the outcome effect size.

RESULTS

Twelve studies reporting 122,190 patients with eight antithrombotic regimens were included in this systematic review. For the primary composite endpoint, low-dose aspirin plus clopidogrel 75 mg (hazard ratio [HR] 0.53, 95% confidence interval [CI] 0.33-0.87) and low-dose aspirin plus rivaroxaban 2.5 mg twice daily (HR 0.53, 95% CI 0.34-0.82) showed significantly better efficacy than clopidogrel monotherapy, and the efficacy was comparable among the first two regimens. Unfortunately, none of the active regimens significantly decreased all-cause death, cardiovascular death branch, and all-cause stroke as part of the secondary endpoints. Low-dose aspirin plus ticagrelor 90 mg twice daily (HR 0.81, 95% CI 0.69-0.94) and low-dose aspirin plus ticagrelor 60 mg twice daily (HR 0.84, 95% CI 0.74-0.95) had a significant advantage in myocardial infarction compared with low-dose aspirin monotherapy, while low-dose aspirin plus 2.5 mg rivaroxaban twice daily (HR 0.62, 95% CI 0.41-0.94) was better than low-dose aspirin in the treatment of ischemic stroke. In the major bleeding branch, low-dose aspirin plus ticagrelor 90 mg twice daily (HR 2.2, 95% CI 1.70-2.90), low-dose aspirin plus ticagrelor 60 mg twice daily (HR 2.1, 95% CI 1.70-2.60), low-dose aspirin plus rivaroxaban 2.5 mg twice daily (HR 1.7, 95% CI 1.30-2.00), and rivaroxaban 5 mg twice daily (HR 1.5, 95% CI 1.20-1.90) showed higher major bleeding risk compared with low-dose aspirin.

CONCLUSIONS

Considering MACEs, myocardial infarction, all kinds of stroke, ischemic stroke, and major bleeding, low-dose aspirin plus rivaroxaban 2.5 mg twice daily should be considered the preferred regimen for S-ASCVD patients with low bleeding risk.

Medical record data-enabled machine learning can enhance prediction of left atrial appendage thrombosis in nonvalvular atrial fibrillation

BACKGROUND

As a major complication of non-valvular atrial fibrillation (NVAF), left atrial appendage (LAA) thrombosis is associated with cerebral ischemic strokes, as well as high morbidity. Due to insufficient incorporation of risk factors, most current scoring methods are limited to the analysis of relationships between clinical characteristics and LAA thrombosis rather than detecting potential risk. Therefore, this study proposes a clinical data-driven machine learning method to predict LAA thrombosis of NVAF.

METHODS

Patients with NVAF from January 2014 to June 2022 were enrolled from Southwest Hospital. We selected 40 variables for analysis, including demographic data, medical history records, laboratory results, and the structure of LAA. Three machine learning algorithms were adopted to construct classifiers for the prediction of LAA thrombosis risk. The most important variables related to LAA thrombosis and their influences were recognized by SHapley Addictive exPlanations method. In addition, we compared our model with CHADS2 and CHADS2-VASc scoring methods.

RESULTS

A total of 713 participants were recruited, including 127 patients with LAA thrombosis and 586 patients with no obvious thrombosis. The consensus models based on Random Forest and eXtreme Gradient Boosting LAA thrombosis prediction (RXTP) achieved the best accuracy of 0.865, significantly outperforming CHADS2 score and CHA2DS2-VASc score (0.757 and 0.754, respectively). The SHAP results showed that B-type natriuretic peptide, left atrial appendage width, C-reactive protein, Fibrinogen and estimated glomerular filtration rate are closely related to the risk of LAA thrombosis in nonvalvular atrial fibrillation.

CONCLUSIONS

The RXTP-NVAF model is the most effective model with the greatest ROC value and recall rate. The summarized risk factors obtained from SHAP enable the optimization of the treatment strategy, thereby preventing thromboembolism events and the occurrence of cardiogenic ischemic stroke.

Early identification and treatment for peripheral arterial disease in patients with ischemic cerebrovascular disease

Ischemic cerebrovascular disease (ICVD) is a major cause of mortality and disability worldwide and is often caused by atherosclerosis. As a systemic disease, atherosclerosis usually affects multiple vascular beds, mainly including cerebral, coronary, and peripheral arteries. Therefore, ICVD is easily complicated by lower-extremity peripheral arterial disease (PAD). ICVD patients with PAD have more serious symptoms and a worse prognosis, however, neurologists might neglect the evaluation and management of the coexistent PAD, and there is still a lack of consensuses about the diagnosis and treatment for such patients. By summarizing relevant research progresses, this review showed that duplex ultrasound had more advantages in the early screening and evaluation of PAD in ICVD patients among multiple methods to diagnose PAD. Furthermore, the current evidence seems to support that single-drug antiplatelet can be used as the basic treatment, and new antithrombotic strategies, such as ticagrelor only or aspirin combined with low-dose rivaroxaban are expected to further reduce the incidence of stroke for ICVD patients with PAD. More effective treatments would be explored by large-scale trials to guide the clinical management to prevent secondary stroke for such patients.

The effect of telemedicine on secondary prevention of atherosclerotic cardiovascular disease: A systematic review and meta-analysis

Aim

The purpose of this systematic review was to evaluate the efficiency of telemedicine on the secondary level of prevention of patients with arteriosclerotic cardiovascular disease (ASCVD), provide evidence for the application of telemedicine in secondary prevention and promote the development of telemedicine in secondary prevention.

Methods

A computer-based search was conducted in MEDLINE, Embase, Pubmed, EBSCO, CINAHL, the Cochrane Library, and Web of Science. Randomized controlled trials regarding the effect of telemedicine on secondary prevention of ASCVD were included from inception to May, 2022. Meta-analysis was used to compare the results of the included studies by RevMan5.4 software. The Cochrane Collaboration bias risk tool was used to perform risk of bias assessment in this study. Outcomes included risk factors, physical activity and exercise, muscle function, exercise compliance, medication adherence, healthy diet, depression and anxiety, self-efficacy, knowledge score, economy, and safety endpoints. Subgroup analysis was carried out for different main intervention measures included in the literature.

Results

A total of 32 randomized clinical studies (n = 10 997 participants) were included in the meta-analysis. Compared with usual secondary prevention (USP) group, participants in telemedicine of secondary prevention (TOSP) group showed significant improvement in some risk factors including BMI (MD -0.87, p = 0.002), SBP (MD -4.09, p = 0.007) and DBP (MD -2.91, p = 0.0002) when they use the telephone as the intervention. In physical activity and exercise, Patients in TOSP showed an improvement in VO2 Peak (mL⋅kg-1⋅min-1) (OR 1.58, p = 0.02), 6MWT (MD 21.41, p = 0.001), GSLTPA score (MD 2.89, p = 0.005). Effects on medication adherence, exercise compliance, muscle function, healthy diet, economy and self-efficacy were synthesized narratively. Patients in TOSP did not show a reduction in knowledge score, depression, anxiety and safety endpoints.

Conclusion

There is a net benefit of secondary prevention supported by telemedicine (especially when using the telephone as an intervention) in patients with ASCVD in the terms of some risk factors, physical activity and exercise. There are still controversies in the improvement of medication adherence, exercise compliance, muscle function, healthy diet, knowledge score, self-efficacy and economy via telemedicine, which is worth exploring. Larger samples size and longer-term follow-ups are needed in future studies.

Systematic review registration

[https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=330478], identifier [CRD42022330478].

Recent advances in the development of active hybrid molecules in the treatment of cardiovascular diseases

Multifactorial nature of the underlying pathophysiology of chronic disorders hinders in the effective treatment and management of many complex diseases. The conventional targeted therapies have limited applications due to highly complicated disease etiology. Cardiovascular diseases (CVDs) are the group of disorders of the heart and blood vessels. Currently, there is limited knowledge on the underlying cellular and molecular mechanisms of many of the CVDs due to their complex pathophysiology and co-morbidities. Their management with conventional medications results in failure due to adverse drug reactions and clinical specificity of solo-targeting drug therapy. Therefore, it is critical to introduce an alternative strategy to treat multi-factorial diseases. In the past few years, discovery and use of multi-targeted drug therapy with hybrid molecules have shown promising results with minimal side effects, and thus considered a most effective approach. In this review article, prominent hybrid molecules combining with different active moieties are reported to synergistically and simultaneously block different pathways involved in CVDs. Here, we provide a critical evaluation and discussion on their pharmacology with mechanistic insights and the structure activity relationship. The timely information provided in this article reveals the recent trends of molecular hybridization to the scientific community interested in CVDs and help them in designing the next generation of multi-targeting drug therapeutics.