Trends in Use and Expenditures for Brand-name Statins After Introduction of Generic Statins in the US, 2002-2018

Statin Twitter: Human and Automated Bot Contributions, 2010 to 2022

BACKGROUND

Many individuals eligible for statin therapy decline treatment, often due to fear of adverse effects. Misinformation about statins is common and drives statin reluctance, but its prevalence on social media platforms, such as Twitter (now X) remains unclear. Social media bots are known to proliferate medical misinformation, but their involvement in statin-related discourse is unknown. This study examined temporal trends in volume, author type (bot or human), and sentiment of statin-related Twitter posts (tweets).

METHODS AND RESULTS

We analyzed original tweets with statin-related terms from 2010 to 2022 using a machine learning-derived classifier to determine the author's bot probability, natural language processing to assign each tweet a negative or positive sentiment, and manual qualitative analysis to identify statin skepticism in a random sample of all tweets and in highly influential tweets. We identified 1 155 735 original statin-related tweets. Bots produced 333 689 (28.9%), humans produced 699 876 (60.6%), and intermediate probability accounts produced 104 966 (9.1%). Over time, the proportion of bot tweets decreased from 47.8% to 11.3%, and human tweets increased from 43.6% to 79.8%. The proportion of negative-sentiment tweets increased from 27.8% to 43.4% for bots and 30.9% to 38.4% for humans. Manually coded statin skepticism increased from 8.0% to 19.0% for bots and from 26.0% to 40.0% for humans.

CONCLUSIONS

Over the past decade, humans have overtaken bots as generators of statin-related content on Twitter. Negative sentiment and statin skepticism have increased across all user types. Twitter may be an important forum to combat statin-related misinformation.

Perceived Utility of Jan Aushadhi Outlets and Awareness of Generic Medicines at the Andaman and Nicobar Islands: A Cross-Sectional Study

BACKGROUND

Despite being the leading exporter of generic medicines to the world, affordable medicines are still beyond the reach of most patients in India. Analysis of the National Sample Survey data showed that in one year, more than 55 million Indians became poor only because they had to spend their own money to purchase medicines. The Jan Aushadhi Scheme launched by the Government of India is an ambitious step to make quality generic drugs affordable to the common man of the country.

OBJECTIVE

This study aimed to assess the knowledge, attitude, and perceptions of patients at a tertiary care teaching hospital in the Andaman and Nicobar Islands about Jan Aushadhi Kendras and generic medicines.

MATERIALS AND METHODS

The study was a questionnaire-based cross-sectional study. A prevalidated self-made questionnaire was distributed to 200 patients visiting the OPD of different clinical departments in the hospital. Participants' knowledge, attitude, and perception of Jan Aushadhi Kendras and generic medicines were evaluated. Analysis of collected data was done using descriptive statistical measures such as mean and percentages.

RESULTS

It was found that most of the participants were not fully aware of the Jan Aushadhi Scheme and the facts about generic medicines. The majority of the participants were under the notion that generics were not similar in quality to the branded ones.

CONCLUSION

The study observed that the patients had a very poor understanding of the Jan Aushadhi Scheme and generic medicines with the majority being ignorant and having incorrect information. To fill this gap, a more proactive approach by the healthcare workers and authorities is needed to disseminate the scheme-related facts, dispel the myths regarding generics, and accept the program wholeheartedly by the common man.

Exploring the Evolution of Statin Pricing in Australia: Observations of Price Disclosure Effects on Pharmaceutical Benefits Scheme Expenditure

OBJECTIVES

The high cardiovascular disease burden globally and in Australia necessitates attention on statin expenditure, the primary pharmacological intervention for cardiovascular disease risk factors. The Pharmaceutical Benefits Scheme (PBS) subsidies approved statins for Australians. Managing PBS government expenditure occurs through price control strategies of statutory price decreases upon first generic entry and price disclosure. This study investigates the impact price control measures had on statin price evolution and government expenditure between 2010 and 2022.

METHODS

Prescription and pricing data were obtained from Services Australia Medicare Statistics, and price reduction strategies from the PBS. Summary statistics compared and described statin price, prescription, number of brands, market share, and government expenditure to atorvastatin, fluvastatin, pravastatin, rosuvastatin, and simvastatin price control timelines.

RESULTS

Statin prices exposed to price control measures decreased irrespective of dosage and correlated with reductions in government expenditure, with a comparison of 2010 and 2022 showing annual statin expenditure declined by AU$833.5 million (83.25%) whereas prescriptions reduced by 3.0 million (15.7%). Effects of price disclosure on atorvastatin and rosuvastatin market share suggest industry-prompted price reductions may arise from market share loss, whereas reasons external to pricing prompted rosuvastatin to gain market share.

CONCLUSIONS

Limited publications on contemporary effects of statin price control measures exist. This investigation found these measures reduced government expenditure for statins by AU$949.1 million, with the price reduction correlating with price control measures. In addition to affirming price control mechanisms remain effective in contemporary times, this investigation provides data for key insights into the Australian statin industry.

Improving statins production: From non-genetic strategies to genetic strategies

Statins are lipid-lowering drugs that selectively inhibit 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, effectively reducing cholesterol synthesis. With improved nutritional conditions, the demand for statins is increasing in the global market. The use of microbial cell factories for statin biosynthesis has become advantageous due to the rapid advancements in biotechnology. These approaches offer simple operation and easy separation of products. This review provides an overview the strategies for statins production via microbial cell factories, including both traditional fermentation culture (non-genetic) and modern synthetic biology manufacture (genetic). Firstly, the complex fermentation parameters and process control technology on submerged fermentation (SmF) and solid-state fermentation (SSF) are introduced in detail. The potential use of recoverable agricultural wastes/(biomass) as a fermentation substrate in SSF for statin production is emphasized. Additionally, metabolic engineering strategies for constructing robust engineering strains and directed evolution are also discussed. The review highlights the potential and challenges of using microbial cell factories for statin production, and aims to promote greener production modes for statins.

Understanding Statin-Roxadustat Drug-Drug-Disease Interaction Using Physiologically-Based Pharmacokinetic Modeling

A different drug-drug interaction (DDI) scenario may exist in patients with chronic kidney disease (CKD) compared with healthy volunteers (HVs), depending on the interplay between drug-drug and disease (drug-drug-disease interaction (DDDI)). Physiologically-based pharmacokinetic (PBPK) modeling, in lieu of a clinical trial, is a promising tool for evaluating these complex DDDIs in patients. However, the prediction confidence of PBPK modeling in the severe CKD population is still low when nonrenal pathways are involved. More mechanistic virtual disease population and robust validation cases are needed. To this end, we aimed to: (i) understand the implications of severe CKD on statins (atorvastatin, simvastatin, and rosuvastatin) pharmacokinetics (PK) and DDI; and (ii) predict untested clinical scenarios of statin-roxadustat DDI risks in patients to guide suitable dose regimens. A novel virtual severe CKD population was developed incorporating the disease effect on both renal and nonrenal pathways. Drug and disease PBPK models underwent a four-way validation. The verified PBPK models successfully predicted the altered PKs in patients for substrates and inhibitors and recovered the observed statin-rifampicin DDIs in patients and the statin-roxadustat DDIs in HVs within 1.25- and 2-fold error. Further sensitivity analysis revealed that the severe CKD effect on statins PK is mainly mediated by hepatic BCRP for rosuvastatin and OATP1B1/3 for atorvastatin. The magnitude of statin-roxadustat DDI in patients with severe CKD was predicted to be similar to that in HVs. PBPK-guided suitable dose regimens were identified to minimize the risk of side effects or therapeutic failure of statins when co-administered with roxadustat.

HMG-CoA Reductase Inhibitors for Traumatic Brain Injury

Traumatic brain injuries (TBIs) are associated with high morbidity and mortality due to both the original insult as well as the destructive biological response that follows. Medical management aims to slow or even halt secondary neurological injury while simultaneously laying the groundwork for recovery. Statins are one class of medications that is showing increased promise in the management of TBI. Used extensively in cardiovascular disease, these drugs were originally developed as competitive inhibitors within the cholesterol production pipeline. They are now used in diverse disease states due to their pleiotropic effects on other biological processes such as inflammation and angiogenesis. Preclinical studies, retrospective reviews, and randomized clinical trials have shown a variety of benefits in the management of TBI, but to date, no large-scale randomized clinical trial has been performed. Despite this limitation, statins' early promise and well-tolerated side effect profile make them a promising new tool in the management of TBIs. More bench and clinical studies are needed to delineate proper treatment regimens as well as understand their true potential.

The Potential Therapeutic Application of Simvastatin for Brain Complications and Mechanisms of Action

Statins are common drugs that are clinically used to reduce elevated plasma cholesterol levels. Based on their solubility, statins are considered to be either hydrophilic or lipophilic. Amongst them, simvastatin has the highest lipophilicity to facilitate its ability to cross the blood-brain barrier. Recent studies have suggested that simvastatin could be a promising therapeutic option for different brain complications and diseases ranging from brain tumors (i.e., medulloblastoma and glioblastoma) to neurological disorders (i.e., Alzheimer's disease, Parkinson's disease, and Huntington's disease). Specific mechanisms of disease amelioration, however, are still unclear. Independent studies suggest that simvastatin may reduce the risk of developing certain neurodegenerative disorders. Meanwhile, other studies point towards inducing cell death in brain tumor cell lines. In this review, we outline the potential therapeutic effects of simvastatin on brain complications and review the clinically relevant molecular mechanisms in different cases.

Medicaid Spending on Antiretrovirals From 2007 Through 2019

BACKGROUND

Antiretroviral (ARV) medications to treat human immunodeficiency virus (HIV) are a major contributor to Medicaid prescription drug spending. Despite having been used for over 3 decades, the first generic ARVs only recently became available, and many newer versions continue to be sold at high prices despite within-class competition. We estimated Medicaid spending on ARVs from 2007 through 2019.

METHODS

Using public Medicaid State Drug Utilization data, we identified trends in ARV spending and use from 2007 through 2019. We estimated net spending and average prices (spending per 30-day supply), accounting for statutory Medicaid rebates, including a 15%-23% base rebate plus additional rebates if a drug's price increased faster than inflation.

RESULTS

Among 48 ARVs, estimated net Medicaid spending from 2007 through 2019 was $25 billion for 17 million 30-day supplies. Annual use increased 118%, from 0.7 million 30-day supplies in 2007 to 1.6 million in 2019. During this time, estimated annual net spending increased 178%, from $1.1 billion to $3.0 billion, and average net prices increased 28%, from $1432 to $1830 per 30-day supply.

CONCLUSIONS

Annual Medicaid net spending on ARVs nearly tripled from 2007 to 2019, due to a combination of expanded use and rising prices. Medicaid did not extract expected benefits from its mandatory inflationary rebates because they were offset by use of newer, more expensive ARVs. To better control spending related to products with incremental innovation, the US government should be authorized to assure that launch prices for new drugs are aligned with the added benefit they offer over existing therapies.

National Trends in Statin Use in Lithuania from 2010 to 2021

Objective: In Lithuania, no comprehensive national research on statin utilization and trends has yet been undertaken. Nonetheless, this knowledge is critical for the healthcare system to identify key areas for development. We aimed to analyze trends in statin utilization in Lithuania from the past 12 years considering changes in reimbursement policies and the publication of updated international CVD prevention guidelines. Methods: We performed a retrospective, descriptive study of statin utilization in Lithuania from 2010 to 2021. The data were obtained from PharmaZOOM LT, an independent software supplier with nationwide coverage on pharmaceutical market data. The data coverage was 95%. We used anatomical therapeutic chemical (ATC) classification for data extraction and calculated defined daily doses (DDDs) according to the ATC/DDD Toolkit of World Health Organization according to statin dose in a pill. Results: Statin use increased overall from 8.28 DDD/TID in 2010 to 96.06 DDD/TID in 2021. The annual growth rate in sales of statin DDD/TID was 22.28%. The increase was mostly due to the increase in moderate- and high-intensity statins. The increases coincided with changes in reimbursement policy or the publication of international guidelines. Polypill use in Lithuania began steadily increasing after 2016 and reached 19.37% of the total DDD/TID of statins in 2021. Conclusions: The use of statins has increased dramatically in Lithuania over the last decade. Changes in statin reimbursement regulations in the country, as well as worldwide cardiovascular preventive recommendations aiming at lower LDL-C objectives, fueled the progress.

Translating atherosclerosis research from bench to bedside: navigating the barriers for effective preclinical drug discovery

Cardiovascular disease (CVD) remains the leading cause of death worldwide. An ongoing challenge remains the development of novel pharmacotherapies to treat CVD, particularly atherosclerosis. Effective mechanism-informed development and translation of new drugs requires a deep understanding of the known and currently unknown biological mechanisms underpinning atherosclerosis, accompanied by optimization of traditional drug discovery approaches. Current animal models do not precisely recapitulate the pathobiology underpinning human CVD. Accordingly, a fundamental limitation in early-stage drug discovery has been the lack of consensus regarding an appropriate experimental in vivo model that can mimic human atherosclerosis. However, when coupled with a clear understanding of the specific advantages and limitations of the model employed, preclinical animal models remain a crucial component for evaluating pharmacological interventions. Within this perspective, we will provide an overview of the mechanisms and modalities of atherosclerotic drugs, including those in the preclinical and early clinical development stage. Additionally, we highlight recent preclinical models that have improved our understanding of atherosclerosis and associated clinical consequences and propose model adaptations to facilitate the development of new and effective treatments.