Emerging drugs for the treatment of hypercholesterolemia

Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach

OBJECTIVE

This study aims to develop a convolutional neural network-based learning framework called domain knowledge-infused convolutional neural network (DK-CNN) for retrieving clinically similar patient and to personalize the prediction of macrovascular complication using the retrieved patients.

MATERIALS AND METHODS

We use the electronic health records of 169 434 patients with diabetes, hypertension, and/or lipid disorder. Patients are partitioned into 7 subcohorts based on their comorbidities. DK-CNN integrates both domain knowledge and disease trajectory of patients over multiple visits to retrieve similar patients. We use normalized discounted cumulative gain (nDCG) and macrovascular complication prediction performance to evaluate the effectiveness of DK-CNN compared to state-of-the-art models. Ablation studies are conducted to compare DK-CNN with reduced models that do not use domain knowledge as well as models that do not consider short-term, medium-term, and long-term trajectory over multiple visits.

RESULTS

Key findings from this study are: (1) DK-CNN is able to retrieve clinically similar patients and achieves the highest nDCG values in all 7 subcohorts; (2) DK-CNN outperforms other state-of-the-art approaches in terms of complication prediction performance in all 7 subcohorts; and (3) the ablation studies show that the full model achieves the highest nDCG compared with other 2 reduced models.

DISCUSSION AND CONCLUSIONS

DK-CNN is a deep learning-based approach which incorporates domain knowledge and patient trajectory data to retrieve clinically similar patients. It can be used to assist physicians who may refer to the outcomes and past treatments of similar patients as a guide for choosing an effective treatment for patients.

Management of High-Risk Hypercholesterolemic Patients and PCSK9 Inhibitors Reimbursement Policies: Data from a Cohort of Italian Hypercholesterolemic Outpatients

Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors are effective and safe lipid-lowering treatments (LLT). The primary endpoint of the study was to assess the prevalence of patients eligible for treatment with PCSK9 inhibitors in a real-life clinical setting in Italy before and after the recent enlargement of reimbursement criteria. For this study, we consecutively considered the clinical record forms of 6231 outpatients consecutively admitted at the Lipid Clinic of the University Hospital of Bologna (Italy). Patients were stratified according to whether they were allowed or not allowed to access to treatment with PCSK9 inhibitors based on national prescription criteria and reimbursement rules issued by the Italian Medicines Agency (AIFA). According to the indications of the European Medicines Agency (EMA), 986 patients were candidates to treatment with PCSK9 inhibitors. However, following the prescription criteria issued by AIFA, only 180 patients were allowed to access to PCSK9 inhibitors before reimbursement criteria enlargement while 322 (+14.4%) with the current ones. Based on our observations, low-cost tailored therapeutic interventions for individual patients can significantly reduce the number of patients potentially needing treatment with PCSK9 inhibitors among those who are not allowed to access to the treatment. The application of enlarged reimbursement criteria for PCSK9 inhibitors could mildly improve possibility to adequately manage high-risk hypercholesterolemic subjects in the setting of an outpatient lipid clinic.

Efficacy and safety of inclisiran a newly approved FDA drug: a systematic review and pooled analysis of available clinical studies

Study objective

This systematic review and meta-analysis aimed to assess the efficacy and safety profile of treatment with inclisiran, a drug that has been recently approved by the United States Food and Drug Administration (FDA) and the European Medicines Agency (EMA).

Design

A systematic literature search was conducted in order to identify randomized controlled trials (RCTs) assessing the effect on lipoproteins and the safety profile of inclisiran.

Results

Data were pooled from 5 RCTs, which included 4226 subjects. Meta-analyses of data suggested that the multiple-dose regimens of inclisiran yielded a significant reduction in serum levels of proprotein convertase subtilisin/kexin type 9 (MD = -78.23%, 95%CI: -86.74, -69.71) and low-density lipoprotein cholesterol (MD = -45.48%, 95%CI: -50.36%, -40.61%) throughout the studies. Furthermore, treatment with inclisiran significantly affected total cholesterol (MD = -13.67%, 95%CI: -20.78%, -6.57%), high-density lipoprotein cholesterol (MD = 8.29%, 95%CI: 4.66%,11.93%), non-HDL cholesterol (MD = -39.45%, 95%CI: -43.6%, -35.31%), apolipoprotein B (MD = -34.58%, 95%CI: -38.78%, -30.78%) and lipoprotein(a) (MD = -20.9%, 95%CI: -25.8%, -15.99%). Multiple-dose regimens of inclisiran were associated with increased risk of injection-site reactions (any reaction: OR = 5.86, 95%CI: 3.44, 9.98; mild reactions: OR = 5.19, 95%CI: 1.68, 16.07; moderate reactions: OR = 13.37, 95%CI: 3.17, 56.46), and bronchitis (OR = 1.58, 95%CI: 1.10, 2.26), while the incidence of the pre-specified exploratory CV endpoint significantly decreased at 18 months (OR = 0.74, 95%CI: 0.58, 0.94).

Conclusion and relevance

Inclisiran has favourable effects on serum lipid levels and an acceptable safety profile. Further well-designed RCTs are needed to explore its longer-term safety.

An update on emerging drugs for the treatment of hypercholesterolemia

INTRODUCTION

Elevated levels of low-density lipoprotein (LDL) cholesterol have been unequivocally demonstrated to play a causal role in atherosclerotic cardiovascular disease. The last thirty years have witnessed a generation of clinical trials that have demonstrated a reduction in cardiovascular risk with the use of increasing intensive lipid lowering regimens involving statin therapy in combination with other agents. However, many patients fail to achieve treatment mandated LDL cholesterol goals. This highlights the need to develop additional approaches to lower LDL cholesterol levels.

AREAS COVERED

(i) Contemporary data highlighting the atherogenicity of LDL cholesterol and cardiovascular benefits of current lipid lowering therapies. (ii) Importance of statin intolerance and inability to achieve LDL cholesterol goals in driving ongoing cardiovascular risk. (iii) Emergence of new therapeutic agents designed to achieve more effective lowering of LDL cholesterol.

EXPERT OPINION

Effective lowering of LDL cholesterol plays a critical role in approaches to the prevention of cardiovascular disease. A greater number of patients will require combinations of agents to achieve optimal lipid control. Accordingly, new agents will be required to provide sufficient choice for patients at high cardiovascular risk.

Using Domain Knowledge and Data-Driven Insights for Patient Similarity Analytics

Patient similarity analytics has emerged as an essential tool to identify cohorts of patients who have similar clinical characteristics to some specific patient of interest. In this study, we propose a patient similarity measure called D3K that incorporates domain knowledge and data-driven insights. Using the electronic health records (EHRs) of 169,434 patients with either diabetes, hypertension or dyslipidaemia (DHL), we construct patient feature vectors containing demographics, vital signs, laboratory test results, and prescribed medications. We discretize the variables of interest into various bins based on domain knowledge and make the patient similarity computation to be aligned with clinical guidelines. Key findings from this study are: (1) D3K outperforms baseline approaches in all seven sub-cohorts; (2) our domain knowledge-based binning strategy outperformed the traditional percentile-based binning in all seven sub-cohorts; (3) there is substantial agreement between D3K and physicians (κ = 0.746), indicating that D3K can be applied to facilitate shared decision making. This is the first study to use patient similarity analytics on a cardiometabolic syndrome-related dataset sourced from medical institutions in Singapore. We consider patient similarity among patient cohorts with the same medical conditions to develop localized models for personalized decision support to improve the outcomes of a target patient.

A Systematic Review and Meta-Analysis of Ayurvedic Herbal Preparations for Hypercholesterolemia

Background and Objectives: Cardiovascular disease (CVD) is the leading cause of death globally and hypercholesterolemia is one of the major risk factors associated with CVD. Due to a growing body of research on side effects and long-term impacts of conventional CVD treatments, focus is shifting towards exploring alternative treatment approaches such as Ayurveda. However, because of a lack of strong scientific evidence, the safety and efficacy profiles of such interventions have not been well established. The current study aims to conduct a systematic review and meta-analyses to explore the strength of evidence on efficacy and safety of Ayurvedic herbs for hypercholesterolemia. Methods: Literature searches were conducted using databases including Medline, Cochrane Database, AMED, Embase, AYUSH research portal, and many others. All randomized controlled trials on individuals with hypercholesterolemia using Ayurvedic herbs (alone or in combination) with an exposure period of ≥ 3 weeks were included, with primary outcomes being total cholesterol levels, adverse events, and other cardiovascular events. The search strategy was determined with the help of the Cochrane Metabolic and Endocrine Disorders Group. Two researchers assessed the risk of each study individually and discrepancies were resolved by consensus or consultation with a third researcher. Meta-analysis was conducted using the inverse variance method and results are presented as forest plots and data summary tables using Revman v5.3. Results: A systematic review of 32 studies with 1386 participants found randomized controlled trials of three Ayurvedic herbs, Allium sativum (garlic), Commiphora mukul (guggulu), and Nigella sativa (black cumin) on hypercholesterolemia that met inclusion criteria. The average duration of intervention was 12 weeks. Meta-analysis of the trials showed that guggulu reduced total cholesterol and low-density lipoprotein levels by 16.78 mg/dL (95% C.I. 13.96 to 2.61; p-value = 0.02) and 18.78 mg/dL (95% C.I. 34.07 to 3.48; p = 0.02), respectively. Garlic reduced LDL-C by 10.37 mg/dL (95% C.I. -17.58 to -3.16; p-value = 0.005). Black cumin lowered total cholesterol by 9.28 mg/dL (95% C.I. -17.36, to -1.19, p-value = 0.02). Reported adverse side effects were minimal. Conclusion: There is moderate to high level of evidence from randomized controlled trials that the Ayurvedic herbs guggulu, garlic, and black cumin are moderately effective for reducing hypercholesterolemia. In addition, minimal evidence was found for any side effects associated with these herbs, positioning them as safe adjuvants to conventional treatments.

Strain-Specific Effects of Bifidobacterium longum on Hypercholesterolemic Rats and Potential Mechanisms

Hypercholesterolemia is an independent risk factor of cardiovascular disease, which is among the major causes of death worldwide. The aim of this study was to explore whether Bifidobacterium longum strains exerted intra-species differences in cholesterol-lowering effects in hypercholesterolemic rats and to investigate the potential mechanisms. SD rats underwent gavage with each B. longum strain (CCFM 1077, I3, J3 and B3) daily for 28 days. B. longum CCFM 1077 exerted the most potent cholesterol-lowering effect, followed by B. longum I3 and B3, whereas B. longum B3 had no effect in alleviating hypercholesterolemia. Divergent alleviation of different B. longum strains on hypercholesterolemia can be attributed to the differences in bile salt deconjugation ability and cholesterol assimilation ability in vitro. By 16S rRNA metagenomics analysis, the relative abundance of beneficial genus increased in the B. longum CCFM 1077 treatment group. The expression of key genes involved in cholesterol metabolism were also altered after the B. longum CCFM 1077 treatment. In conclusion, B. longum exhibits strain-specific effects in the alleviation of hypercholesterolemia, mainly due to differences in bacterial characteristics, bile salt deconjugation ability, cholesterol assimilation ability, expressions of key genes involved in cholesterol metabolism and alterations of gut microbiota.

Screening siRNAs against host glycosylation pathways to develop novel antiviral agents against hepatitis B virus

AIM

Hepatitis B virus (HBV) relies on glycosylation for crucial functions, such as entry into host cells, proteolytic processing and protein trafficking. The aim of this study was to identify candidate molecules for the development of novel antiviral agents against HBV using an siRNA screening system targeting the host glycosylation pathway.

METHODS

HepG2.2.15.7 cells that consistently produce HBV were employed for our in vitro study. We investigated the effects of siRNAs that target 88 different host glycogenes on hepatitis B surface antigen (HBsAg) and HBV DNA secretion using the siRNA screening system.

RESULTS

We identified four glycogenes that reduced HBsAg and/or HBV DNA secretion; however, the observed results for two of them may be due to siRNA off-target effects. Knocking down ST8SIA3, a member of the sialyltransferase family, significantly reduced both HBsAg and HBV DNA secretion. Knocking down GALNT7, which transfers N-acetylgalactosamine to initiate O-linked glycosylation in the Golgi apparatus, also significantly reduced both HBsAg and HBV DNA levels.

CONCLUSIONS

These results showed that knocking down the ST8SIA3 and GALNT7 glycogenes inhibited HBsAg and HBV DNA secretion in HepG2.2.15.7 cells, indicating that the host glycosylation pathway is important for the HBV life cycle and could be a potential target for the development of novel anti-HBV agents.

Efficacy and safety of PCSK9 monoclonal antibodies: an evidence-based review and update

Objective

Treatment of dyslipidemia lowers cardiovascular (CV) risk. Although statin use is a cornerstone therapy, many patients are not achieving their risk-specific low-density lipoprotein cholesterol (LDL-C) goals. The proprotein convertase subtilisin/kexin type 9 (PCSK9) monoclonal antibodies have been extensively studied as lipid-lowering therapy (LLT). Herein, we present an updated evidence-based review of the efficacy and safety of PCSK9 monoclonal antibodies in the treatment of familial and non-familial hypercholesterolemia.

Methods

PubMed database was searched to review Phase III studies on PCSK9 monoclonal antibodies. Then, the US National Institutes of Health Registry and the WHO International Clinical Trial Registry Platform were searched to identify and present the ongoing research.

Results

PCSK9 monoclonal antibodies were investigated for the treatment of dyslipidemia, as a single therapeutic agent or as an add-on therapy to the traditional LLT. They proved effective and safe in the treatment of familial and non-familial hypercholesterolemia, and in the prevention of adverse CV events.

Conclusions

The use of PCSK9 monoclonal antibodies in the treatment of dyslipidemia is currently recommended to achieve risk-specific LDL-C goal to reduce adverse CV events. Future results of the ongoing research might expand their clinical generalizability to broader patient populations.

Effect of Bempedoic Acid on Serum Uric Acid and Related Outcomes: A Systematic Review and Meta-analysis of the available Phase 2 and Phase 3 Clinical Studies

INTRODUCTION

Bempedoic acid (ETC-1002) is a first-in-class lipid-lowering agent recently approved by the United States (US) Food and Drug Administration (FDA) and the European Medicines Agency (EMA) for commercialization.

OBJECTIVE

The aim was to assess, through a systematic review of the literature and a meta-analysis of the available phase 2 and phase 3 clinical studies, the effect of treatment with bempedoic acid on serum uric acid (SUA) concentration. Secondary outcomes were treatment-related variations in creatinine serum level and incidence of gout.

METHODS

A systematic literature search in SCOPUS, PubMed Medline, ISI Web of Science and Google Scholar databases was conducted up to November 13th, 2019, in order to identify clinical trials potentially eligible for the meta-analysis. Effect sizes were expressed as absolute mean differences (MDs) and 95% confidence intervals (CIs).

RESULTS

Data were pooled from four clinical studies comprising ten arms, which included overall 3369 subjects, with 2213 in the active-treatment arm and 1156 in the control one. Meta-analysis of data suggested that treatment with bempedoic acid is related to a significant increase in SUA (MD 0.73, 95% CI 0.54-0.91, P < 0.001), serum creatinine (MD 0.04, 95% CI 0.03-0.05, P < 0.001) and the incidence of gout (odds ratio 3.56, 95% CI 1.24-10.19, P = 0.018). The relatively small number of subjects involved in the studies and the exclusion of patients with renal impairment from the clinical trials are important limitations of the meta-analysis. However, our data indicate potential safety issues with bempedoic acid and suggest that further studies are performed both to elucidate the pathogenetic mechanisms underlying these associations and to verify the long-term safety of this treatment.

CONCLUSION

Bempedoic acid seems to have unfavourable effects on SUA, creatinine level and the incidence of gout. The ongoing Cardiovascular Outcomes Trial (CVOT) will explore the longer-term safety of treatment with bempedoic acid and clarify its effect on cardiovascular events and mortality.

PROSPERO DATABASE REGISTRATION

CRD42019146126.

Statin intolerance: an updated, narrative review mainly focusing on muscle adverse effects

INTRODUCTION

Statins have been established as the standard of care for dyslipidemia and preventing cardiovascular diseases while posing few safety concerns. However, misconceptions about statin intolerance lead to their underuse, indicating a need to improve the understanding of the safety of this treatment.

AREAS COVERED

We searched PubMed and reviewed literatures related to statin intolerance published between February 2015 and February 2020. Important large-scale or landmark studies published before 2015 were also cited as key evidence.

EXPERT OPINION

Optimal lowering of low-density lipoprotein cholesterol with statins substantially reduces the risk of cardiovascular events. Muscle adverse events (AEs) were the most frequently reported AEs by statin users in clinical practice, but they usually occurred at a similar rate with statins and placebo in randomized controlled trials and had a spurious causal relationship with statin treatment. We proposed a rigorous definition for identifying true statin intolerance and present the criteria for defining different forms of muscle AEs and an algorithm for their management. True statin intolerance is uncommon, and every effort should be made to exclude false statin intolerance and ensure optimal use of statins. For the management of statin intolerance, statin-based approaches should be prioritized over non-statin approaches.