Statins and risk of treated incident diabetes in a primary care population

Different diabetogenic effect of statins according to intensity and dose in patients with acute myocardial infarction: a nationwide cohort study

Statin is crucial for acute myocardial infarction (AMI) patients. However, the risk of new-onset diabetes mellitus (NODM) associated with statin is a concern. This study aimed to determine the incremental diabetogenic effects of statins according to their intensity and dose in AMI patients undergoing percutaneous coronary intervention (PCI). Among 13,104 patients enrolled in the Korea AMI Registry between 2011 and 2015, 6152 patients without diabetes mellitus (DM) who underwent PCI and received moderate-to-high-intensity atorvastatin and rosuvastatin were selected for the study. The endpoints were NODM and major adverse cardiovascular events (MACE), composite of all-cause mortality, recurrent MI, and revascularization up to 3 years. Among the participants, 3747 and 2405 received moderate- and high-intensity statins, respectively. The Kaplan-Meier curves demonstrated a higher incidence of NODM in patients with high-intensity statins than those with moderate-intensity. High-intensity statin was a significant predictor of NODM after adjusting for other co-variables (HR = 1.316, 95% CI 1.024-1.692; P < 0.032). Higher dose of rosuvastatin was associated with a higher cumulative incidence of NODM, but this dose-dependency was not apparent with atorvastatin. Cumulative incidence of MACE decreased dose-dependently only with atorvastatin. High-intensity statin was associated with a higher cumulative incidence of NODM in AMI patients, and this association was more evident in rosuvastatin. The different diabetogenic effects of the two statins provide supporting evidence for understanding the nuanced nature of statin treatment in relation to NODM.

Drug-induced hyperglycemia and diabetes

BACKGROUND

Drug-induced hyperglycemia and diabetes have negative and potentially serious health consequences but can often be unnoticed.

METHODS

We reviewed the literature searching Medline database for articles addressing drug-induced hyperglycemia and diabetes up to January 31, 2023. We also selected drugs that could induce hyperglycemia or diabetes according official data from drug information databases Thériaque and Micromedex. For each selected drug or pharmacotherapeutic class, the mechanisms of action potentially involved were investigated. For drugs considered to be at risk of hyperglycemia or diabetes, disproportionality analyses were performed using data from the international pharmacovigilance database VigiBase. In order to detect new pharmacovigilance signals, additional disproportionality analyses were carried out for drug classes with more than 100 cases reported in VigiBase, but not found in the literature or official documents.

RESULTS

The main drug classes found to cause hyperglycemia are glucocorticoids, HMG-coA reductase inhibitors, thiazide diuretics, beta-blockers, antipsychotics, fluoroquinolones, antiretrovirals, antineoplastic agents and immunosuppressants. The main mechanisms involved are alterations in insulin secretion and sensitivity, direct cytotoxic effects on pancreatic cells and increases in glucose production. Pharmacovigilance signal were found for a majority of drugs or pharmacological classes identified as being at risk of diabetes or hyperglycemia. We identified new pharmacovigilance signals with drugs not known to be at risk according to the literature or official data: phosphodiesterase type 5 inhibitors, endothelin receptor antagonists, sodium oxybate, biphosphonates including alendronic acid, digoxin, sartans, linosipril, diltiazem, verapamil, and darbepoetin alpha. Further studies will be needed to confirm these signals.

CONCLUSIONS

The risks of induced hyperglycemia vary from one drug to another, and the underlying mechanisms are multiple and potentially complex. Clinicians need to be vigilant when using at-risk drugs in order to detect and manage these adverse drug reactions. However, it is to emphasize that the benefits of appropriately prescribed treatments most often outweigh their metabolic risks.

Possible link between statin and iron deficiency anemia: A South Korean nationwide population-based cohort study

An extensive evaluation of disease occurrence after statin use based on a "hypothesis-free" approach remains scarce. To examine the effect of statin use on the potential risk of developing diseases, a propensity score-matched cohort study was executed using data from the National Sample Cohort in South Korea. A total of 7847 statin users and 39,235 nonstatin users were included in the final analysis. The period of statin use was defined as our main time-dependent exposure and was divided into three periods: current, recent, and past. The main outcomes were defined as new-onset diseases with ≥100 events based on the International Statistical Classification of Diseases, 10th Revision. We calculated the adjusted hazard ratios and 95% confidence intervals (CIs) using Cox regression. We found that statin use significantly increased the risk of developing iron deficiency anemia up to 5.04 times (95% CI, 2.11 to 12.03). Therefore, the iron levels of patients using statins should be monitored carefully.

Statins and risk of type 2 diabetes: mechanism and clinical implications

Statins are widely used to prevent cardiovascular disease events. Cardiovascular diseases and type 2 diabetes are tightly connected since type 2 diabetes is a major risk factor for cardiovascular diseases. Additionally, cardiovascular diseases often precede the development of type 2 diabetes. These two diseases have common genetic and environmental antecedents. Statins are effective in the lowering of cardiovascular disease events. However, they have also important side effects, including an increased risk of type 2 diabetes. The first study reporting an association of statin treatment with the risk of type 2 diabetes was the WOSCOPS trial (West of Scotland Coronary Prevention Study) in 2001. Other primary and secondary cardiovascular disease prevention studies as well as population-based studies have confirmed original findings. The purpose of our review is to examine and summarize the most important findings of these studies as well as to describe the mechanisms how statins increase the risk of type 2 diabetes.

Mevalonate biosynthesis pathway regulates the development and survival of brown adipocytes

The high thermogenic activity of brown adipose tissue (BAT) has received considerable attention. Here, we demonstrated the role of the mevalonate (MVA) biosynthesis pathway in the regulation of brown adipocyte development and survival. The inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the rate-limiting enzyme in the MVA pathway and the molecular target of statins, suppressed brown adipocyte differentiation by suppressing protein geranylgeranylation-mediated mitotic clonal expansion. The development of BAT in neonatal mice exposed to statins during the fetal period was severely impaired. Moreover, statin-induced geranylgeranyl pyrophosphate (GGPP) deficiency led to the apoptosis of mature brown adipocytes. Brown adipocyte-specific Hmgcr knockout induced BAT atrophy and disrupted thermogenesis. Importantly, both genetic and pharmacological inhibition of HMGCR in adult mice induced morphological changes in BAT accompanied by an increase in apoptosis, and statin-treated diabetic mice showed worsened hyperglycemia. These findings revealed that MVA pathway-generated GGPP is indispensable for BAT development and survival.

Facts and ideas on statins with respect to their lipophilicity: a focus on skeletal muscle cells and bone besides known cardioprotection

Statins are known to block cholesterol synthesis in the liver. They also exhibit non-lipid pleiotropic effects due to the inhibition of protein prenylation, thereby modulating various signaling pathways of cellular homeostasis and integrity. Both lipid control and pleiotropic action of statins are clinically used, mainly for treatment of hypercholesterolemia and primary and secondary prevention of cardiovascular diseases. Because the prescription of statins is increasing and statin therapy is often lifelong, in particular in patients with other risk factors, safety issues being associated with polymorbidity and polypragmasia as well as the persistence with and adherence to statins are specific points of attention of clinicians and clinical pharmacologists. Furthermore, because skeletal myocytes have a cholesterol inhibitory sensitivity greater than hepatocytes, a choice of an appropriate statin based on its lipophilicity and the associated likelihood of its side effects on skeletal muscle cells and bone is warranted in such polymorbid patients. These approaches can effectively modulate the risk: benefit ratio and highlight a need for personalized therapy as much as possible, thereby minimizing risk of discontinuation of therapy and poor compliance.

Aspalathin-rich green rooibos tea in combination with glyburide and atorvastatin enhances lipid metabolism in a db/db mouse model

Rooibos (Aspalathus linearis), an indigenous South African plant and its major flavonoid, aspalathin, exhibited positive effects on glycemia and dyslipidemia in animal studies. Limited evidence exists on the effects of rooibos extract taken in combination with oral hypoglycemic and lipid-lowering medications. This study investigated the combined effects of a pharmaceutical grade aspalathin-rich green rooibos extract (GRT) with the sulfonylurea, glyburide, and atorvastatin in a type 2 diabetic (db/db) mouse model. Six-week-old male db/db mice and their nondiabetic lean db+ littermates were divided into 8 experimental groups (n=6/group). Db/db mice were treated orally with glyburide (5 mg/kg bodyweight), atorvastatin (80 mg/kg bodyweight) and GRT (100 mg/kg bodyweight) as mono- and combination therapies respectively, for 5 weeks. An intraperitoneal glucose tolerance test was conducted at 3 weeks of treatment. Serum was collected for lipid analyses and liver tissues for histological examination and gene expression. A significant increase in the fasting plasma glucose (FPG) of the db/db mice compared to their lean counterparts (from 7.98 ± 0.83 to 26.44 ± 1.84, p &lt; 0.0001) was observed. Atorvastatin reduced cholesterol (from 4.00 ± 0.12 to 2.93 ± 0.13, p &lt; 0.05) and triglyceride levels (from 2.77 ± 0.50 to 1.48 ± 0.23, p &lt; 0.05). In db/db mice, the hypotriglyceridemic effect of atorvastatin was enhanced when combined with both GRT and glyburide (from 2.77 ± 0.50 to 1.73 ± 0.35, p = 0.0002). Glyburide reduced the severity and pattern of steatotic lipid droplet accumulation from a mediovesicular type across all lobular areas, whilst combining GRT with glyburide reduced the abundance and severity of lipid droplet accumulation in the centri- and mediolobular areas. The combination of GRT, glyburide and atorvastatin reduced the abundance and severity of lipid accumulation and the intensity score compared to the administered drugs alone. The addition of either GRT or glyburide in combination with atorvastatin had no effect on blood glucose or lipid profiles, but significantly reduced lipid droplet accumulation.

Identifying patient perceptions and attitudes regarding statin-associated diabetes mellitus: a mixed-methods study

Aim: The aims of this study were to explore factors that influence initiation and continuation of statin therapy. Patients & methods: Mixed-method design employed with 73 patients completing surveys and 14 patients participating in semi-structured interviews. Results: When lower total cholesterol is achieved, patients' views are favorable while views of statin therapy diminish among those with higher total cholesterol values. All patients are concerned with adverse events including the potential for developing diabetes. However, overall patients believe the benefits of statins outweigh the risk of diabetes. Conclusion: Barriers remain that prevent patients from achieving cholesterol goals and maintaining or initiating statin therapy. Effective strategies to provide accurate information about the risks and benefits of statin therapy, and implementation of shared decision-making to improve medication adherence and persistence are needed.

Efficacy of Kushen decoction on high-fat-diet-induced hyperlipidemia in rats

OBJECTIVE

To investigate the efficacy and underlying mechanisms of action of Kushen decoction on high-fat-diet-induced hyperlipidemia in rats using RNA-seq technology.

METHODS

The efficacy of a Kushen decoction, at a concentration of 1 mL/g of crude medicine prepared according to the method commonly used in clinical practice, was investigated on 24 specific pathogen-free male Sprague-Dawley rats. Liver tissues were compared using RNA-Seq technology. The differentially expressed genes were further investigated by real-time fluorescent quantitative polymerase chain reaction (qPCR and Western blot (WB).

RESULTS

Serum triglycerides (TG), liver low-density lipoprotein cholesterol (LDL-C), body weight, body length, and Lee's index were significantly increased in the untreated hyperlipidemia-induced group (model) compared with the control group, whereas liver high-density lipoprotein cholesterol (HDL-C) was significantly decreased. Serum TG, liver LDL-C, bodyweight, and Lee's index were decreased in the high-dose Kushen decoction group (HDKS) compared with the model group, whereas liver HDL-C was significantly increased. Similarly, liver TG tended to decline in the HDKS group. Comparison of the gene expression profiles in the livers from different groups indicated that the Kushen decoction significantly affected metabolic pathways, PPAR signalling pathway, and circadian rhythm ( ≤ 0.05), with the genes ARNTL, PER3, and CLOCK being differentially expressed. qPCR and WB analysis confirmed the differential expression of the genes discovered by transcriptomics analysis.

CONCLUSION

The Kushen decoction may achieve a lipid-lowering effect on hyperlipidemic rats by regulating metabolic pathways and the circadian rhythm pathway and in particular, their related genes ARNTL, PER3, and CLOCK.

Global variation of risk thresholds for initiating statins for primary prevention of cardiovascular disease: a benefit-harm balance modelling study

BACKGROUND

We previously showed that the 10-year cardiovascular disease (CVD) risk threshold to initiate statins for primary prevention depends on the baseline CVD risk, age, sex, and the incidence of statin-related harm outcome and competing risk for non-CVD death. As these factors appear to vary across countries, we aimed in this study to determine country-specific thresholds and provide guidelines a quantitative benefit-harm assessment method for local adaptation.

METHODS

For each of the 186 countries included, we replicated the benefit-harm balance analysis using an exponential model to determine the thresholds to initiate statin use for populations aged 40 to 75 years, with no history of CVD. The analyses took data inputs from a priori studies, including statin effect estimates (network meta-analysis), patient preferences (survey), and baseline incidence of harm outcomes and competing risk for non-CVD (global burden of disease study). We estimated the risk thresholds above which the benefits of statins were more likely to outweigh the harms using a stochastic approach to account for statistical uncertainty of the input parameters.

RESULTS

The 5th and 95th percentiles of the 10-year risk thresholds above which the benefits of statins outweigh the harms across 186 countries ranged between 14 and 20% in men and 19-24% in women, depending on age (i.e., 90% of the country-specific thresholds were in the ranges stated). The median risk thresholds varied from 14 to 18.5% in men and 19 to 22% in women. The between-country variability of the thresholds was slightly attenuated when further adjusted for age resulting, for example, in a 5th and 95th percentiles of 14-16% for ages 40-44 years and 17-21% for ages 70-74 years in men. Some countries, especially the islands of the Western Pacific Region, had higher thresholds to achieve net benefit of statins at 25-36% 10-year CVD risks.

CONCLUSIONS

This extensive benefit-harm analysis modeling shows that a single CVD risk threshold, irrespective of age, sex and country, is not appropriate to initiate statin use globally. Instead, countries need to carefully determine thresholds, considering the national or subnational contexts, to optimize benefits of statins while minimizing related harms and economic burden.

Time- and Dose-Dependent Association of Statin Use With Risk of Clinically Relevant New-Onset Diabetes Mellitus in Primary Prevention: A Nationwide Observational Cohort Study

Background

Given that statins are increasingly being used for primary‐prevention, the public concerns regarding the risk of new‐onset diabetes mellitus associated with statin use may be an issue.

Methods and Results

Using healthcare data from the national health insurance examinees, our study comprised a cohort of adults aged ≥40 years with hypercholesterolemia who would be eligible for statin therapy for primary prevention from 2005 to 2012. The primary outcome was the occurrence of clinically relevant new‐onset diabetes mellitus requiring medical therapy. Among 2 162 119 adults with hypercholesterolemia who might be eligible for statin therapy, 638 625 (29.5%) ever used statins and 1 523 494 (70.5%) never used statins. In the propensity‐matched cohort of 518 491 pairs, during mean follow‐up of 3.9 years, being an ever‐user of statin was significantly associated with diabetes mellitus risk compared with being a never‐user of statin (13.4 versus 6.9 per 1000 person‐years; adjusted hazard ratio [HR], 1.88; 95% CI, 1.85–1.93). With increasing duration of statin use, the risk of diabetes mellitus was proportionally increased (HR 1.25 <1 year, HR 2.22 for 1–2 years, and HR 2.62 >2 years). An excess risk of diabetes mellitus was also associated with a higher intensity (HR 1.75 for low‐to‐moderate potency and HR 2.31 for high potency) and a cumulative dosing of statin (HR 1.06 for low‐tertile, HR 1.74 for middle‐tertile, and HR 2.52 for high‐tertile of defined‐daily‐disease).

Conclusions

In patients receiving statin therapy for primary prevention, there was a time‐ and dose‐dependent association of statin use with an increasing risk of new‐onset diabetes mellitus.

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Statin Treatment-Induced Development of Type 2 Diabetes: From Clinical Evidence to Mechanistic Insights

Statins are the gold-standard treatment for the prevention of primary and secondary cardiovascular disease, which is the leading cause of mortality worldwide. Despite the safety and relative tolerability of statins, observational studies, clinical trials and meta-analyses indicate an increased risk of developing new-onset type 2 diabetes mellitus (T2DM) after long-term statin treatment. It has been shown that statins can impair insulin sensitivity and secretion by pancreatic β-cells and increase insulin resistance in peripheral tissues. The mechanisms involved in these processes include, among others, impaired Ca²⁺ signaling in pancreatic β-cells, down-regulation of GLUT-4 in adipocytes and compromised insulin signaling. In addition, it has also been described that statins’ impact on epigenetics may also contribute to statin-induced T2DM via differential expression of microRNAs. This review focuses on the evidence and mechanisms by which statin therapy is associated with the development of T2DM. This review describes the multifactorial combination of effects that most likely contributes to the diabetogenic effects of statins. Clinically, these findings should encourage clinicians to consider diabetes monitoring in patients receiving statin therapy in order to ensure early diagnosis and appropriate management.

Time-varying and dose-dependent effect of long-term statin use on risk of type 2 diabetes: a retrospective cohort study

BACKGROUND

We evaluated the effect of statin use on new-onset type 2 diabetes among individuals without atherosclerotic cardiovascular disease (ASCVD) using nationally representative South Korean claims data (2002-2013, N = 1,016,820).

METHODS

A total of 13,698 patients (statin users 5273, non-statin users 5273) aged 40-74 years, newly diagnosed with dyslipidemia but without any history of diabetes or ASCVD, were selected in 2005. We followed up the final sample until 2013 and evaluated the cumulative incidence of type 2 diabetes. We used extended Cox regression models to estimate the time-varying adjusted hazard ratios of statin use on new-onset type 2 diabetes. We performed further analyses based on the cumulative defined daily dose of statin received per year to evaluate the degree of risk compared to non-statin users.

RESULTS

Over the mean follow-up period of 7.1 years, 3034 patients developed type 2 diabetes; the number of statin users exceeded that of non-users, demonstrating that statin use significantly increased the risk of new-onset type 2 diabetes. The risk of new-onset type 2 diabetes differed among statin users according to cDDD per year (adjusted HR = 1.31 [95% CI 1.18-1.46] for less than 30 cDDD per year; 1.58 [1.43-1.75] for 30-120 cDDD per year; 1.83 [1.62-2.08] for 120-180 cDDD per year; and 2.83 [2.51-3.19] for more than 180 cDDD per year). The diabetogenic effect of pitavastatin was not statistically significant, but the risk was the largest for atorvastatin. Long-term exposure (≥ 5 years) to statins was associated with a statistically significant increase in the risk of new onset type 2 diabetes in all statin subtypes explored, with the highest magnitude for simvastatin (HR = 1.916, 95% CI 1.647-2.228) followed by atorvastatin (HR = 1.830, 95% CI 1.487-2.252).

CONCLUSIONS

Statin use was significantly associated with an increased risk of new-onset type 2 diabetes. We also found a dose-response relationship in terms of statin use duration and dose maintenance. Periodic screening and monitoring for incident type 2 diabetes may be warranted in long-term statin users.

Statin users have an elevated risk of dysglycemia and new-onset-diabetes

OBJECTIVE

Statins are one of the most widely prescribed medications in the United States; however, there is a concern that they are associated with new-onset-diabetes (NOD) development. We sought to understand the risk of dysglycemia and NOD for a cohort of individuals that reflect real-world physician prescribing patterns.

METHODS

A retrospective cohort study was conducted among individuals with indications for statin use (n = 7064). To examine elevated glycosylated hemoglobin (>6.0%), logistic regression with inverse probability weighting was used to create balance between incident statin users and nonusers. To evaluate the risk of NOD development, Cox PH models with time varying statin use compared NOD diagnoses among statin users and nonusers.

RESULTS

A higher prevalence of elevated HbA1c (PD = 0.065; 95% CI: 0.002, 0.129, P = 0.045) occurred among nondiabetic incident users of statins. Additionally, statin users had a higher risk of developing NOD (AHR = 2.20; 95% CI: 1.35, 3.58, P = 0.002). Those taking statins for 2 years or longer (AHR = 3.33; 95% CI: 1.84, 6.01, P < 0.001) were at the greatest risk of developing NOD; no differences were observed by statin class or intensity of dose.

CONCLUSION

As lifestyle programs like the Diabetes Prevention Program are promoted in primary care settings, we hope physicians will integrate and insurers support healthy lifestyle strategies as part of the optimal management of individuals at risk for both NOD and cardiovascular disease. The relationships between statin use and glycemic control should be evaluated in large cohort studies, medical record databases, and mechanistic investigations to inform clinical judgment and treatment.

Statins and the potential for higher diabetes mellitus risk

Introduction: 3-Hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors (statins) are widely used for cardiovascular disease (CVD) prevention. Long-term use of statins has been linked to the development of diabetes mellitus (DM) which increases CVD risk. Areas covered: We discussed the reported incidence of DM in statin users, various possible mechanisms responsible for the development of DM and the clinical implications of this association on CVD risk. Relevant supporting literature was identified using MEDLINE/EMBASE search. Expert opinion: Data from available RCTs and observational studies suggest a 10-45% higher risk of new-onset DM with statin use compared to nonusers. Several cellular, molecular, and genetic mechanisms, and lifestyle changes have been studied and discussed as potential underlying mechanisms responsible for this elevated DM risk with statin therapy. The mode of the diabetogenic action of statins is still unclear and an interplay of pancreatic and peripheral effects in the pathogenesis of DM is a possibility. Despite these observations, the CVD preventative benefit of statin treatment outweighs the CVD risk associated with of development of new DM. There is a need for further research to identify the exact mechanisms involved so as to specifically target causative factors and individualize treatment.

Statin-induced new onset of diabetes in dyslipidemic patients: a retrospective study

Background: Previously conducted studies with statins shows an increased risk of developing new onset of diabetes. This study helps in analyzing the risk of statins to cause new onset of diabetes.Objective: To assess the prevalence, causality, severity, preventability and risk factors of statin-induced new onset of diabetes in dyslipidemic patients.Methods: The study was conducted in a tertiary care hospital. A 6-month retrospective study was carried out in the cardiology department and analyzed between year 2013-2017medical records of dyslipidemic patients treated with statins of age >18 years. Patients with congenital diabetes, previous history of diabetes, patients using antipsychotics and steroids, and patients with incomplete data were excluded. Patients were reported as diabetic according to the American Diabetes Association's classification. Patients who developed statin-induced new onset of diabetes were assessed by the WHO probability scale, Naranjo's causality assessment scale, Hartwig's severity assessment scale, and Modified Schumock and Thornton preventability scale.Results: Out of 270 dyslipidemic patients, 19 patients developed statin-induced new onset of diabetes and 69 were classified as pre-diabetic. The major risk factors were: dose, gender, age, geriatric patients, and duration of the therapy. Patients who developed statin-induced new onset of diabetes were managed by dose reduction and treatment with anti-diabetic medications.Conclusion The prevalence of statin-induced new onset of diabetes is 7.03%. The main risk factors identified in the study were in older patients (≥60 years), rosuvastatin therapy, high dose and longer duration of statin therapy.

Modeling the cost effectiveness and budgetary impact of Polypills for secondary prevention of cardiovascular disease in the United States

BACKGROUND

There is underutilization of appropriate medications for secondary prevention of cardiovascular disease (CVD).

METHODS

Usual care (UC) was compared to polypill-based care with 3 versions using a validated micro-simulation model in the NHANES population with prior CVD. UC included individual prescription of up to 4 drug classes (antiplatelet agents, beta-blockers, renin-angiotensin-aldosterone inhibitors and statins). The polypills modeled were aspirin 81 mg, atenolol 50 mg, ramipril 5 mg, and either simvastatin 40 mg (Polypill I), atorvastatin 80 mg (Polypill II), or rosuvastatin 40 mg (Polypill III). Baseline medication use and adherence came from United Healthcare claims data.

RESULTS

When compared to UC, there were annual reductions of 130,000 to 178,000 myocardial infarctions and 54,000 to 74,000 strokes using Polypill I and II, respectively. From a health sector perspective, in incremental analysis the ICERs for Polypill I and II were $20,073/QALY and $21,818/QALY respectively; Polypill III was dominated but had a similar cost-effectiveness ratio to Polypill II when compared directly to usual care. From a societal perspective, Polypill II was cost-saving and dominated all strategies. Over a 5-year period, those taking Polypill I and II compared to UC saved approximately $12 and $6 per-patient-per-year alive, respectively. Polypill II was the preferred strategy in 98% of runs at a willingness to pay of $50,000 in the probability sensitivity analysis.

CONCLUSIONS

Use of a polypill has a favorable cost profile for secondary CVD prevention in the United States. Reductions in CVD-related healthcare costs outweighed medication cost increases on a per-patient-per-year basis, suggesting that a polypill would be economically advantageous to both patients and payers.

[The problem of safety of lipid-lowering therapy]

This study focused on analysis of current publications evaluating safety of lipid-lowering therapy. Search for literature was performed on websites of cardiological societies and online databases, including PubMed, EMBASE, and eLibrary by the following key words: statins, statin intolerance, lipid-lowering therapy, statin safety, and statin аdverse effects. The focus is on statins, in view of the fact that they are the most commonly prescribed, highly effective and safe drugs for primary and secondary cardiovascular prophylaxis. This review consistently summarized information about myopathies, hepatic and renal dysfunction, potentiation of DM, and other possible adverse effects of lipid-lowering therapy. The author concluded that despite the high safety of statins acknowledged by all international cardiological societies, practicing doctors still continue unreasonably cancel statins, exposing the patient under even greater danger. Information about the corresponding author.

Assessment of effect modification of statins on new-onset diabetes based on various medical backgrounds: a retrospective cohort study

BACKGROUND

The aim of this study was to investigate the association between statin use and new-onset diabetes in clinical settings and to assess its effect modification (heterogeneity) among patients with various medical histories and current medications.

METHODS

In a total of 12,177 Japanese patients without diabetes, from December 2004 to November 2012, we identified 500 statin users and 500 matched non-users using propensity-score matching. Patients were followed until December 2017. We estimated the hazard ratios of new-onset diabetes associated with statin use. We also tested the heterogeneity of the treatment effect by evaluating subgroup interactions in subgroups according to sex, age, medical history, and current medication.

RESULTS

New-onset diabetes had occurred in 71 patients (13.6%) with statin use and 43 patients (8.3%) with non-use at 5 years (hazard ratio, 1.66; 95% confidence interval [CI], 1.11 to 2.48; P = 0.0143), and in 78 patients (15.6%) with statin use and 48 patients (9.6%) with non-use at 10 years (hazard ratio, 1.61; 95% CI, 1.10 to 2.37; P = 0.0141). There were no significant treatment-by-subgroup interactions in all subgroups defined according to sex, age, medical history, and current medication.

CONCLUSIONS

In patients with various clinical backgrounds, those who received statin therapy had a higher risk of new-onset diabetes at 5 and 10 years than those who did not receive it. Effect modification of statins on new-onset diabetes was not found in patient populations defined according to various comorbid diseases or concomitant drugs.

Effect of pravastatin treatment on circulating adiponectin: a meta-analysis of randomized controlled trials

Objective

Pravastatin has been suggested to increase circulating adiponectin in humans. However, results of randomized controlled trials (RCTs) are inconsistent. We aimed to systematically evaluate the influence of pravastatin on circulating adiponectin in humans by performing a meta-analysis of RCTs.

Materials and methods

Studies were identified via systematic searching of PubMed, Embase, and Cochrane’s Library databases. A random effect model was used to pool the results. Meta-regression and subgroup analyses were applied to explore the source of heterogeneity.

Results

Eight RCTs with nine comparisons of 595 participants were included. Pravastatin treatment was associated with a significant increased level of circulating adiponectin as compared with controls (weighted mean difference [WMD] =0.63 µg/mL; 95% CI, 0.17–1.09 µg/mL; P=0.007) with moderate heterogeneity (I2=28%). These results were confirmed by meta-analysis of double-blinded placebo-controlled RCTs (WMD =0.82 µg/mL; P=0.01). Meta-regression analyses indicated that proportions of males in each study were positively correlated with the effect of pravastatin on adiponectin (coefficient: 0.015, P=0.03). Subgroup analyses confirmed that pravastatin significantly increased adiponectin in studies of males (WMD =1.41 µg/mL; P=0.008), but not in those of females (WMD =−0.04 µg/mL; P=0.94).

Conclusion

Pravastatin treatment is associated with increased circulating adiponectin. Gender difference may exist regarding the effect of pravastatin treatment on adiponectin.

The Role of Xenobiotic Receptors on Hepatic Glycolipid Metabolism

Background:

PXR (Pregnane X Receptor) and CAR (Constitutive Androstane Receptor) are termed as xenobiotic receptors, which are known as core factors in regulation of the transcription of metabolic enzymes and drug transporters. However, accumulating evidence has shown that PXR and CAR exert their effects on energy metabolism through the regulation of gluconeogenesis, lipogenesis and β-oxidation. Therefore, in this review, we are trying to summary recent advances to show how xenobiotic receptors regulate energy metabolism.

Methods:

A structured search of databases has been performed by using focused review topics. According to conceptual framework, the main idea of research literature was summarized and presented.

Results:

For introduction of each receptor, the general introduction and the critical functions in hepatic glucose and lipid metabolism have been included. Recent important studies have shown that CAR acts as a negative regulator of lipogenesis, gluconeogenesis and β -oxidation. PXR activation induces lipogenesis, inhibits gluconeogenesis and inhabits β-oxidation.

Conclusion:

In this review, the importance of xenobiotic receptors in hepatic glucose and lipid metabolism has been confirmed. Therefore, PXR and CAR may become new therapeutic targets for metabolic syndrome, including obesity and diabetes. However, further research is required to promote the clinical application of this new energy metabolism function of xenobiotic receptors.

Mesenchymal stem cells associated with chitosan scaffolds loaded with rosuvastatin to improve wound healing

In this study we explored the role of rosuvastatin calcium in skin regeneration as statins play important role in the field of tissue engineering. Chitosan hydrochloride was crosslinked with different weight ratios of collagen, β-glycerolphosphate and carboxymethyl cellulose to produce scaffolds by lyophilization technique. Subsequently, the fabricated scaffolds were examined for their morphology, water absorption capacity, water retention, friability and in-vitro drug release as well as in-vivo studies. The results revealed porous 3-D structured scaffolds with maximum water absorption values-ranging between 396 and 2993%. Scaffolds containing carboxymethyl cellulose revealed highest water absorption-values. In-vitro drug release results showed gradual drug release for 60 h with mean dissolution time-values (MDT) between 13 and 21 h. Combination of chitosan, collagen, carboxymethyl cellulose in weight ratio of 40:30:30, respectively achieved gradual disintegration of the scaffold in a simulating medium to an open wound after 4 days. This selected scaffold loaded with rosuvastatin revealed increase proliferation of human dermal fibroblasts compared to placebo scaffold. After 30 days of implantation of selected medicated scaffold loaded with/without mesenchymal stem cells and placebo scaffolds to induced wounds in Albino rats, enhanced skin regeneration and absence of scar formation for drug loaded scaffolds were observed. The histopathological study showed the advantage of stem cells-loaded scaffolds through the normal redistribution of collagen in the epidermal layer. In conclusion, rosuvastatin calcium and stem cells loaded in the tested scaffolds proved their potential effect in enhancing skin healing and regeneration.

Is Atorvastatin Associated with New Onset Diabetes or Deterioration of Glycemic Control? Systematic Review Using Data from 1.9 Million Patients

BACKGROUND

Current evidence indicates that statins increase the risk of new onset diabetes mellitus (NOD) and also deteriorate the glycemic control in patients with known diabetes mellitus (DM) after high-dose statin therapy.

AIMS

The aim of this review was to explore the effect of atorvastatin in causing NOD or deteriorating glycemic control in patients with DM.

METHODS

Two independent reviewers conducted the literature search, through PubMed database searching for articles published in English until April 2015, and only primary studies were included.

RESULTS

Of the 919 articles identified in our original search, 33 met the criteria for this review encompassing 1,951,113 participants. Twenty articles examined dysregulation of DM due to atorvastatin. Half of them showed that there was no significant change in glycemic control in patients treated with atorvastatin. Other studies showed that fasting plasma glucose and HbA1c levels were increased by atorvastatin. Thirteen articles examined if atorvastatin causes NOD. The majority of these articles showed that patients who used atorvastatin had a higher dose-dependent risk of developing NOD.

CONCLUSION

This systematic review suggests that there is an association between atorvastatin treatment and NOD. Moreover, it showed that atorvastatin in high dose causes worsening of the glycemic control in patients with DM.

The Mevalonate Pathway Is Indispensable for Adipocyte Survival

The mevalonate pathway is essential for the synthesis of isoprenoids and cholesterol. Adipose tissue is known as a major site for cholesterol storage; however, the role of the local mevalonate pathway and its synthesized isoprenoids remains unclear. In this study, adipose-specific mevalonate pathway-disrupted (aKO) mice were generated through knockout of 3-hydroxy-3-methylglutaryl-CoA (HMG-CoA) reductase (HMGCR). aKO mice showed serious lipodystrophy accompanied with glucose and lipid metabolic disorders and hepatomegaly. These metabolic variations in aKO mice were dramatically reversed after fat transplantation. In addition, HMGCR-disrupted adipocytes exhibited loss of lipid accumulation and an increase of cell death, which were ameliorated by the supplementation of mevalonate and geranylgeranyl pyrophosphate but not farnesyl pyrophosphate and squalene. Finally, we found that apoptosis may be involved in adipocyte death induced by HMGCR down-regulation. Our findings indicate that the mevalonate pathway is essential for adipocytes and further suggest that this pathway is an important regulator of adipocyte turnover.

Therapeutic effects of atorvastatin and ezetimibe compared with double-dose atorvastatin in very elderly patients with acute coronary syndrome

Objective Compared the effect of atorvastatin 10 mg combined ezetimibe 10 mg therapy with atorvastatin 20 mg on the long-term outcomes in very elderly patients with acute coronary syndrome.

Methods A total of 230 octogenarian patients with acute coronary syndrome underwent coronary angiography were randomized to combined therapy group (atorvastatin 10 mg/d and ezetimibe 10 mg/d, n=114) or double-dose atorvastatin group (atorvastatin 20mg/d, n=116). The primary end point was one-year incidence of major adverse cardiovascular events (including cardiac death, spontaneous myocardial infarction, unplanned revascularization).

Result At the end of one year, the percentage of patients with low-density lipoprotein cholesterol level decreased more than 30% or 50% were comparable between the two groups (93.5% vs. 90.1%, p= 0.36; 54.6% vs. 49.6%, p= 0.45). The rate of major adverse cardiovascular events in combined therapy group was similar with double-dose atorvastatin group (23.2% vs. 19.8%, p=0.55). In COX regression model, the risk of major adverse cardiovascular events in combined group isn’t significantly higher than double-dose atorvastatin group (HR [95% CI] 1.12 [0.51 to 2.55], p = 0.74). The patients whose alanine aminotransferase increasing more than upper normal limit in combined group was lower than double-dose atorvastatin group (2.8% vs. 9.0%, p = 0.05).

Conclusions For very elderly patients with acute coronary syndrome, atorvastatin combining ezetimibe induced similar long-term outcomes compared with double-dose atorvastatin but with less liver dysfunction.

Risk Factor for Diabetes Mellitus and High Blood Glucose With HMG-CoA Reductase Inhibitors Using a Postmarketing Surveillance Database in Japan

To investigate whether 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitor (statin) use is associated with an increased risk of diabetes mellitus and hyperglycemia, we performed a nested case-control study using a postmarketing surveillance database in Japan. The database cohort included 26,849 cases of statin use and 5308 cases of other lipid-lowering drug use in patients with hyperlipidemia. Participants received at least 1 type of statin, had a clear medication history of statin use, and had no complications of diabetes mellitus. Cases were defined as onset of diabetes mellitus or hyperglycemia during statin intake. For each case, 20 controls were randomly selected and matched by time point. The factors associated with an increased risk of diabetes mellitus and hyperglycemia during statin intake examined included sex, age, body mass index, statin use duration, complications, concomitant medication, and clinical laboratory tests. Statin-associated diabetes mellitus or hyperglycemia was identified based on abnormal elevation of blood glucose concentrations beyond the reference range. A total of 19,868 patients met the inclusion criteria, of whom 24 were patients in the case group. Two complicating factors, fatty liver (adjusted odds ratio 16.10) and hyperuricemia (adjusted odds ratio 28.96), were extracted for onset of diabetes mellitus or hyperglycemia. Nonalcoholic fatty liver was associated with diabetes mellitus, obesity, and insulin resistance, and hyperuricemia was associated with lifestyle. This study suggested that the onset of diabetes mellitus or hyperglycemia might be increased with statin use in patients with complications of fatty liver and hyperuricemia.

Balancing Primary Prevention and Statin-Induced Diabetes Mellitus Prevention

Diabetes mellitus (DM), a modern-day epidemic, is a significant risk factor for cardiovascular disease. It is believed that statins elevate the risk of incident DM. Multiple trials were suggestive of the hyperglycemic effect of long-term statin use. This has prompted the Food and Drug Administration to include the risk of DM in the product label of statins. New-onset DM with statin use is biologically plausible and can be explained based on the multiple pathways in glucose metabolism affected by statins. Most pivotal clinical trials on statins were not powered to adequately assess the risk of incident DM with statin use, and the results from multiple meta-analyses are mixed. Currently, the US Preventive Services Task Force recommend the use of statins for primary prevention in patients with at least 1 cardiovascular risk factor and a 10-year risk of >7.5%. With the new American College of Cardiology/American Heart Association guidelines, the number of patients eligible for statin therapy has increased exponentially, which also calls for caution and increased vigilance in prescribing physicians regarding the controversies surrounding statin use. This article aims to highlight the existing data on statin use for primary prevention in diabetics and nondiabetics and the association of statins use with new-onset DM and its postulated mechanisms.

Lipid-lowering drugs and risk of new-onset diabetes: a cohort study using Japanese healthcare data linked to clinical data for health screening

OBJECTIVE

To investigate whether lipid-lowering drugs are associated with new-onset diabetes after adjusting for baseline clinical risk factors for diabetes.

DESIGN

A retrospective cohort study.

SETTING

Japanese employees of large corporations and their dependents using health insurance claims data linked to clinical and laboratory data for annual health screenings.

PARTICIPANTS

All persons aged 20 to 74 years with dyslipidaemia between 1 January 2005 and 31 March 2011. We defined the index date as the first date when the person met the criteria for dyslipidaemia. Persons were excluded if they had lipid-lowering drugs, or had a diagnosis, a treatment or a laboratory test result (haemoglobin A1c ≥6.5% or fasting blood glucose ≥126 mg/dL) indicating diabetes during the 6-month period before the index date.

MAIN OUTCOME MEASURES

New-onset diabetes.

RESULTS

We identified 68 620 persons with dyslipidaemia. During the mean follow-up period of 1.96 years, 3674 persons started treatment with a lipid-lowering drug: 979 with a low potency statin, 2208 with a high potency statin and 487 with a fibrate. Of 3674 new users of a lipid-lowering drug, 3621 had a period of non-use of any lipid-lowering drugs before starting a lipid-lowering drug. Among statin users, the incidence rate of new-onset diabetes was 124.6 per 1000 person-years compared with 22.6 per 1000 person-years in non-users. After adjusting for confounding factors including clinical data in health screening using Cox proportional hazards models, the HR was 1.91 (95% CI 1.38 to 2.64) for low potency statins and 2.61 (2.11 to 3.23) for high potency statins.

CONCLUSION

The use of statins was associated with a 1.9-fold to 2.6-fold increase in the risk of new-onset diabetes in a Japanese population of working age, despite adjusting for clinical risk factors for diabetes.

The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients

BACKGROUND

Very few studies conducted in Korea have investigated the relationship between statins and the incidence of diabetes. Therefore, we analyzed the progression from normal blood glucose to prediabetes and then to diabetes mellitus (DM) according to the type, intensity, and dose of statin prescribed.

METHODS

Data of patients who were first prescribed statins between 2009 and 2011 were extracted from electronic medical records. Patients with normal blood glucose or prediabetes were observed for 4 years after initiation of statin therapy.

RESULTS

A total of 2890 patients were included in our study and analyzed on the basis of the first statin they were prescribed. The incidence rate of DM in patients with prediabetes was 1.72 times that of patients with normal glucose levels (odds ratio = 1.72, 95% confidence interval = 1.41-2.10, P < .001). Regarding progression from normal blood glucose to prediabetes, the incidence rate of prediabetes was significantly lower in patients prescribed pitavastatin (odds ratio = 0.62, 95% confidence interval = 0.40-0.96, P = .031) compared to that in patients prescribed atorvastatin. Regarding the progression from normal blood glucose or prediabetes to DM, there were no significant differences among all statins.

CONCLUSIONS

Lower DM incidence in patients prescribed pitavastatin appears to be primarily because of the lower rate of progression from normal blood glucose to prediabetes. These findings indicate that avoiding statins because of DM risk is unjustified and that clinicians should prescribe statins from the appropriate potency group.

Do statins really cause diabetes? A meta-analysis of major randomized controlled clinical trials

Objectives:

To investigate and establish the relationship between the use of statin therapy and the risk of development of diabetes.

Methods:

PubMed and the Cochrane Central Register of Controlled Trials was searched for randomized controlled end-point trials of statins, with more than 1000 subjects and a minimum of one-year follow-up period, published until August 2015. The odds ratio (OR) of diabetes incidence with overall statin therapy as well as with different statins in question was calculated through random effect meta-analysis model.

Results:

Fourteen studies were included in the analysis with a total of 94,943 participants. Of these, 2392 subjects developed incident diabetes in the statin and 2167 in the placebo groups during a 4-year follow-up. The OR of diabetes incidence with statin therapy was significantly higher as compared with the placebo group (OR=1.11; 95% confidence interval = 1.0 to 1.2; p=0.007). There was an insignificant level of heterogeneity between the included trials (Cochran Q= 19.463, p=0.109, I²=33.20). Subgroup analysis showed that only 2 statins namely, atorvastatin (OR= 1.29; p=0.042) and rosuvastatin (OR = 1.17; px=0.01) were significantly associated.

Conclusion:

Statin therapy can slightly increase risk of incident diabetes in subjects with hypercholesterolemia.

2017 Position Paper of the Italian Society for Cardiovascular Prevention (SIPREC) for an Updated Clinical Management of Hypercholesterolemia and Cardiovascular Risk: Executive Document

The benefits achieved by implementing cardiovascular prevention strategies in terms of reduced incidence of atherosclerotic diseases and mortality are accepted, worldwide. In particular, the clinical management of hypercholesterolemia has a fundamental role for all preventive strategies, both in primary and secondary prevention, at each stage of cardiovascular risk. Since the net clinical benefit of lipid-lowering therapy largely depends on baseline individual cardiovascular risk profile, the assessment of individual risk is essential to establish type and intensity of both preventive and therapeutic strategies. Thus, the real challenge in a setting of clinical practice is not only to identify whom to treat among individuals at low-to-moderate risk, but mostly how much and how long to treat high or very-high risk patients. This manuscript, which reflects concepts and positions that have been published in a more extensive document of the Italian Society for Cardiovascular Prevention (SIPREC), deals with the diagnostic and therapeutic management of patients with dyslipidaemia, with an evidence-based approach adapted and updated from recent guidelines of the European Society of Cardiology and very recent results of randomized clinical trials. The purpose is to suggest a multidimensional and integrated actions aimed at eliminating or minimizing the impact of cardiovascular diseases and their related disabilities and mortality in patients with hypercholesterolemia.

Statin use and risk of new-onset diabetes: A meta-analysis of observational studies

BACKGROUND AND AIMS

Meta-analyses of randomized control trials investigating the association between incident diabetes and statin use showed an increased risk of new-onset diabetes (NOD) from 9% to 13% associated with statins. However, short follow-up period, unpowered sample size, and lack of pre-specified diagnostic criteria for diabetes detection could be responsible of an underestimation of this risk. We conducted a meta-analysis of published observational studies to evaluate the association between statins use and risk of NOD.

METHODS AND RESULTS

PubMed, EMBASE and MEDLINE databases were searched from inception to June 30, 2016 for cohort and case-control studies with risk of NOD in users vs nonusers, on ≥1000 subjects followed-up for ≥1 year. Two review authors assessed study eligibility and risk of bias and undertook data extraction independently. Pooled estimates were calculated by a random-effects model and between-study heterogeneity was tested and measured by I² index. Furthermore, stratified analyses and the evaluation of publication bias were performed. Finally, the meta-analysis included 20 studies, 18 cohort and 2 case-control studies. Overall, NOD risk was higher in statin users than nonusers (RR 1.44; 95% CI 1.31-1.58). High between-study heterogeneity (I² = 97%) was found. Estimates for all single statins showed a class effect, from rosuvastatin (RR 1.61; 1.30-1.98) to simvastatin (RR 1.38; 1.19-1.61).

CONCLUSIONS

The present meta-analysis confirms and reinforces the evidence of a diabetogenic effect by statins utilization. These observations confirm the need of a rigorous monitoring of patients taking statins, in particular pre-diabetic patients or patients presenting with established risk factors for diabetes.

Updated risk factors should be used to predict development of diabetes

AIMS

Predicting incident diabetes could inform treatment strategies for diabetes prevention, but the incremental benefit of recalculating risk using updated risk factors is unknown. We used baseline and 1-year data from the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) Trial to compare diabetes risk prediction using historical or updated clinical information.

METHODS

Among non-diabetic participants reaching 1year of follow-up in NAVIGATOR, we compared the performance of the published baseline diabetes risk model with a "landmark" model incorporating risk factors updated at the 1-year time point. The C-statistic was used to compare model discrimination and reclassification analyses to demonstrate the relative accuracy of diabetes prediction.

RESULTS

A total of 7527 participants remained non-diabetic at 1year, and 2375 developed diabetes during a median of 4years of follow-up. The C-statistic for the landmark model was higher (0.73 [95% CI 0.72-0.74]) than for the baseline model (0.67 [95% CI 0.66-0.68]). The landmark model improved classification to modest (<20%), moderate (20%-40%), and high (>40%) 4-year risk, with a net reclassification index of 0.14 (95% CI 0.10-0.16) and an integrated discrimination index of 0.01 (95% CI 0.003-0.013).

CONCLUSIONS

Using historical clinical values to calculate diabetes risk reduces the accuracy of prediction. Diabetes risk calculations should be routinely updated to inform discussions about diabetes prevention at both the patient and population health levels.

Diabetes Secondary to Treatment with Statins

PURPOSE OF REVIEW

This review summarizes the recent population-based studies, clinical trials, clinical metabolic studies, and genetic studies reporting the effects of statin therapy on the risk of diabetes. Recent studies aiming to explain the mechanisms how statin treatment affects insulin sensitivity and insulin secretion are also reviewed.

RECENT FINDINGS

Statin therapy increases the risk of diabetes by 9%-12% in the two meta-analyses of statin trials and by 18%-99% in five population-based studies. Statin therapy impairs insulin sensitivity and insulin secretion based on clinical and epidemiologic studies. In vitro studies demonstrate that the most diabetogenic statins impair insulin sensitivity and insulin secretion by multiple mechanisms. Recent genetic studies suggest that the increased risk of type 2 diabetes may be partially explained by gene variants in the target genes for low-density lipoprotein cholesterol lowering drugs. Population-based studies report higher incidence rates for diabetes in individuals on statin treatment compared with clinical trials. Incident diabetes has not been a prespecified endpoint in statin trials and glucose and/or HbA1c have not been routinely measured. Therefore, it is possible that the risk of diabetes in individuals on statin treatment has been underestimated in previous statin trials. Accumulating evidence from several statin trials, population-based studies, clinical studies, and in vitro studies suggests that pravastatin is the least diabetogenic statin, and simvastatin, atorvastatin, and rosuvastatin the most diabetogenic statins. In vitro studies have reported new findings on mechanisms how statin treatment affects insulin sensitivity and insulin secretion. In spite of diabetogenicity of different statins, the consensus is that the benefits of statins in reducing cardiovascular events clearly outweigh the risk of diabetes.

Effect of different doses of statins on the development of type 2 diabetes mellitus in patients with myocardial infarction

BACKGROUND

Cardiovascular diseases and type 2 diabetes mellitus (T2DM) may have common developmental mechanisms associated with lipid metabolism disorders. Dyslipidemia and progression of atherosclerosis in people with T2DM are accompanied by an increase in cardiovascular mortality. This study examined the dose-dependent action of atorvastatin on carbohydrate metabolism and adipokine status in patients within 12 months after myocardial infarction (MI).

METHODS

A total of 156 male MI patients who had received atorvastatin 20 mg/day (78 patients) or 40 mg/day (78 patients) starting from day 1 of onset were enrolled. Glucose, insulin, C-peptide, resistin, adiponectin, and ghrelin levels were measured at baseline, day 12, and months 3 and 12. Patients were monitored for new incidences of T2DM for 12 months after MI.

RESULTS

For acute phase MI, patients had moderate insulin resistance, hyperglycemia, and hyper-insulinemia, high leptin and resistin levels, and low ghrelin and adiponectin levels. Atorvastatin 20 mg/day was more effective at correcting the imbalances. Patients taking atorvastatin 40 mg/day (group 2) following MI showed increases in levels of glucose, insulin, and C-peptide and insulin resistance progression after 12 months of therapy, as evidenced by increased quantitative insulin sensitivity check index scores and detection of new T2DM cases.

CONCLUSION

Atorvastatin improved adipokine profiles and ghrelin levels, with low doses showing more significant effects. Atorvastatin dose prescribed for MI patients should take into account the degree of insulin resistance and adipokine status.

Protective effects of coenzyme Q10 and L-carnitine against statin-induced pancreatic mitochondrial toxicity in rats

Statins are widely used in patients with hyperlipidemia and whom with high risk of cardiovascular diseases. Unfortunately, statins also exert some adverse effects on the liver and pancreas and enhance the risk of type 2 diabetes mellitus. The objective of the present research was to investigate the protective effects of coenzyme Q₁₀ (Co-Q₁₀) and L-carnitine (LC) on statins induced toxicity on pancreatic mitochondria in vivo. Seven groups of male Wistar rats received atorvastatin (20 mg/kg, p.o.), atorvastatin + Co-Q₁₀ (10 mg/kg, i.p.), atorvastatin + LC (500 mg/kg, i.p.), lovastatin (80 mg/kg, p.o), lovastatin + Co-Q₁₀ (10 mg/kg, i.p.), and lovastatin + LC (500 mg/kg, i.p.). Serum glucose and insulin levels were measured before and after two weeks of treatment, while the pancreas was removed and toxic effects of statins, as well as the protective effects of Co-Q₁₀ and LC were assessed. The results showed that atorvastatin and lovastatin significantly increased glucose level and decreased insulin secretion. The glucose level in Co-Q₁₀ and LC groups was significantly lower than statins alone groups. The findings also showed that statin groups had higher rate of pancreatic toxicity including higher level of reactive oxygen species production, decreased cytochrome c oxidase activity, collapse of mitochondrial membrane potential and swelling in comparison to controls. These factors were significantly diminished by co-administration of Co-Q₁₀ or LC compared to statin groups alone. Additionally, supplements caused a significant increase in serum insulin and succinate dehydrogenase activity. Our study provided new evidence supporting beneficial effects of Co-Q₁₀ and LC on statin-induced pancreatic toxicity.

Statins and risk for new-onset diabetes mellitus: A real-world cohort study using a clinical research database

Although concern regarding the increased risk for new-onset diabetes mellitus (NODM) after statin treatment has been raised, there has been a lack of evidence in real-world clinical practice, particularly in East Asians. We investigated whether statin use is associated with risk for NODM in Koreans. We conducted a retrospective cohort study using the clinical research database from electronic health records. The study cohort consisted of 8265 statin-exposed and 33,060 matched nonexposed patients between January 1996 and August 2013. Matching at a 1:4 ratio was performed using a propensity score based on age, gender, baseline glucose levels (mg/dL), and hypertension. The comparative risks for NODM with various statins (atorvastatin, fluvastatin, pitavastatin, pravastatin, rosuvastatin, and simvastatin) were estimated by both statin exposure versus matched nonexposed and within-class comparisons. The incidence of NODM among the statin-exposed group (6.000 per 1000 patient-years [PY]) was higher than that of the nonexposed group (3.244 per 1000 PY). The hazard ratio (HR) of NODM after statin exposure was 1.872 (95% confidence interval [CI], 1.432-2.445). Male gender (HR, 1.944; 95% CI, 1.497-2.523), baseline glucose per mg/dL (HR, 1.014; 95% CI, 1.013-1.016), hypertension (HR, 2.232; 95% CI, 1.515-3.288), and thiazide use (HR, 1.337; 95% CI, 1.081-1.655) showed an increased risk for NODM, while angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker showed a decreased risk (HR, 0.774; 95% CI, 0.668-0.897). Atorvastatin-exposed patients showed a higher risk for NODM than their matched nonexposed counterparts (HR, 1.939; 95% CI, 1.278-2.943). However, the risk for NODM was not significantly different among statins in within-class comparisons. In conclusion, an increased risk for NODM was observed among statin users in a practical healthcare setting in Korea.

Use of Statins and the Risk of Incident Diabetes: A Retrospective Cohort Study

INTRODUCTION

Even though several landmark statin trials have demonstrated the beneficial effects of statin therapy in both primary and secondary prevention of cardiovascular disease, several studies have suggested that statins are associated with a moderate increase in risk of new-onset diabetes. These observations prompted the US FDA to revise statin labels to include a warning of an increased risk of incident diabetes mellitus as a result of increases in glycosylated hemoglobin (HbA1c) and fasting plasma glucose. However, few studies have used US-based data to investigate this statin-associated increased risk of diabetes.

OBJECTIVE

The primary objective of our study was to examine whether the use of statins increases the risk of incident diabetes mellitus using data from the Thomson Reuters MarketScan (®) Commercial Claims and Encounters Database.

METHOD

This study was a retrospective cohort analysis utilizing data for the period 2003-2004. The study population included new statin users aged 20-63 years at index who did not have a history of diabetes.

RESULTS

The proportion (3.4 %) of statin users (N = 53,212) who had incident diabetes was higher than the proportion (1.2 %) of non-statin users (N = 53,212) who had incident diabetes. Compared with no statin use and controlling for demographic and clinical covariates, statin use was significantly associated with increased risk of incident diabetes (hazard ratio 2.01; 99 % confidence interval 1.74-2.33; p < 0.0001). In addition, risk of diabetes was highest among users of lovastatin, atorvastatin, simvastatin, and fluvastatin. Diabetes risk was lowest among pravastatin and rosuvastatin users.

DISCUSSION

Because the potential for diabetogenicity differs among different statin types, healthcare professionals should individualize statin therapy by identifying patients who would benefit more from less diabetogenic statin types.

Lower and higher-potency statins on glycemic control in type 2 diabetes: A retrospective cohort study

AIMS

Evidences showed a link between statins and new-onset diabetes and large clinical trials in type 2 diabetes (T2DM) suggested a mild glycemic progression in statin treated. Since this effect has not yet elucidated in real world, we investigated the effects of different statins on glycemia in T2DM clinic outpatients.

METHODS

In a retrospective cohort study, we recorded at 6 and 12months modifications of fasting glucose (FPG), HbA1c, diabetes intensification therapy and target rate for HbA1c in 421 T2DM non-users and new statin users. Statins were categorized with low or high potency.

RESULTS

Compared to statin users, no statin group showed a significant HbA1c reduction from 52.8±14.0mmol/mol to 48.2±8.5 (p=0.003) at 6months and 48.6±8.8 (p=0.007) at 12months. This trend without statins was also observed in FPG starting from 7.1±2.0mmol/l to 6.7±1.6 (p=0.12) at 6months and 6.6±1.5 (p=0.032) at 12months. Statins determined a significant diabetes treatment intensification: 48.7% vs 27.4% (p=0.002) with hazard ratio 2.4 [95% CI 1.14-5.2], p=0.022. HbA1c target was significantly lower in statin users 62.0% vs 75.4%, p=0.042. Only lower-potency statins showed a significant reduction of HbA1c from 52.0±11.1mmol/mol to 50.7±9.0 (p=0.017) and 50.7±9.5 (p=0.038) at 6 and 12months, respectively. The same effect for these statins was registered in FPG from 7.5±2.2mmol/l to 7.0±1.6 (p=0.021) at 6months and 7.2±1.5 (p=0.026) at 12months.

CONCLUSIONS

In patients receiving statin therapy a greater intensification diabetes therapy is need. This impact seems to be less pronounced by statins with lower potency.

Toxicity of Atorvastatin on Pancreas Mitochondria: A Justification for Increased Risk of Diabetes Mellitus

Statins (including atorvastatin) are a widely used class of drugs, and like all medications, they have a potential for adverse effects. Recently, it has been shown that statins also exert side effects on the pancreas. In vitro studies have suggested that this class of drugs induced a reduction in insulin secretion. Also, the use of statins is associated with a raised risk of diabetes mellitus (DM), but the mechanisms underlying statin-induced diabetes are poorly known. Literature data indicate that several statins are able to induce apoptosis signalling. This study was designed to examine the mechanism of atorvastatin on mitochondria obtained from rat pancreas. In our study, mitochondria were obtained from the pancreas and then exposed to atorvastatin and vehicle to investigate probable toxic effects. The results showed that atorvastatin (25, 50, 75, 100 and 125 μM) increased reactive oxygen species (ROS) production, mitochondrial swelling, collapse of mitochondrial membrane potential and cytochrome c release, the orchestrating factor for mitochondria-mediated apoptosis signalling. Atorvastatin also reduced the ATP levels. These results propose that the toxicity of atorvastatin on pancreas mitochondria is a key point for drug-induced apoptotic cell loss in the pancreas and therefore a justification for increased risk of DM.

Performance of the high-dimensional propensity score in adjusting for unmeasured confounders

Purpose

High-dimensional propensity scores (hdPS) can adjust for measured confounders, but it remains unclear how well it can adjust for unmeasured confounders. Our goal was to identify if the hdPS method could adjust for confounders which were hidden to the hdPS algorithm.

Method

The hdPS algorithm was used to estimate two hdPS; the first version (hdPS-1) was estimated using data provided by 6 data dimensions and the second version (hdPS-2) was estimated using data provided from only two of the 6 data dimensions. Two matched sub-cohorts were created by matching one patient initiated on a high-dose statin to one patient initiated on a low-dose statin based on either hdPS-1 (Matched hdPS Full Info Sub-Cohort) or hdPS-2 (Matched hdPS Hidden Info Sub-Cohort). Performances of both hdPS were compared by means of the absolute standardized differences (ASDD) regarding 18 characteristics (data on seven of the 18 characteristics were hidden to the hdPS algorithm when estimating the hdPS-2).

Results

Eight out of the 18 characteristics were shown to be unbalanced within the unmatched cohort. Matching on either hdPS achieved adequate balance (i.e., ASDD <0.1) on all 18 characteristics.

Conclusion

Our results indicate that the hdPS method was able to adjust for hidden confounders supporting the claim that the hdPS method can adjust for at least some unmeasured confounders.

Statin treatment is associated with insulin sensitivity decrease in type 1 diabetes mellitus: A prospective, observational 56-month follow-up study

BACKGROUND

Statins are effective in the primary and secondary prevention of cardiovascular events in individuals with and without diabetes. Emerging evidence, however, suggests that statins might reduce insulin sensitivity and secretion in healthy population and in type 2 diabetes.

OBJECTIVE

We aimed to investigate the effect of statin therapy introduction on insulin sensitivity in patients with type 1 diabetes mellitus (T1DM).

METHODS

This prospective observational 56-month long study included 832 randomly selected T1DM patients aged 25 to 61 years. Uncontrolled dyslipidemia and clinician-perceived need for treatment, rather than randomization, were basis for individuals being started on either atorvastatin or simvastatin (10-40 mg); N = 345, 41.47%. Patients on statin treatment were compared with those unexposed to statin. Insulin sensitivity was assessed using equation derived from euglycemic-hyperinsulinemic clamp studies-estimated glucose disposal rate.

RESULTS

Patients who started statin therapy (N = 345, 59.42% atorvastatin and 40.58% simvastatin) experienced a greater decrease in insulin sensitivity (19.27% vs 12.82% P < .001) and metabolic control deterioration compared with statin-free group. The risk of decrease in insulin sensitivity attributable to statin use was 36.7% (hazard ratio 1.36; 95% confidence interval 1.31-1.43) after adjustment for age, gender, disease duration, smoking status, and the concomitant antihypertensive therapy.

CONCLUSION

Although there is still a lack of a clear molecular explanation on the adverse effects of statin therapy on insulin sensitivity, we showed that it deteriorates insulin sensitivity in T1DM. The cardiovascular benefits of statin treatment might outweigh the risk of developing insulin resistance, but, the possible metabolic control worsening merits to be considered.

Regulation of hepatic energy metabolism by the nuclear receptor PXR

The pregnane X receptor (PXR) is a nuclear receptor that is traditionally thought to be specialized for sensing xenobiotic exposure. In concurrence with this feature PXR was originally identified to regulate drug-metabolizing enzymes and transporters. During the last ten years it has become clear that PXR harbors broader functions. Evidence obtained both in experimental animals and humans indicate that ligand-activated PXR regulates hepatic glucose and lipid metabolism and affects whole body metabolic homeostasis. Currently, the consequences of PXR activation on overall metabolic health are not yet fully understood and varying results on the effect of PXR activation or knockout on metabolic disorders and weight gain have been published in mouse models. Rifampicin and St. John's wort, the prototypical human PXR agonists, impair glucose tolerance in healthy volunteers. Chronic exposure to PXR agonists could potentially represent a risk factor for diabetes and metabolic syndrome. This article is part of a Special Issue entitled: Xenobiotic nuclear receptors: New Tricks for An Old Dog, edited by Dr. Wen Xie.

Head to head comparison of the propensity score and the high-dimensional propensity score matching methods

BACKGROUND

Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear. We aimed to identify which method provided the best adjustment for confounding by indication within the context of the risk of diabetes among patients exposed to moderate versus high potency statins.

METHOD

A cohort of diabetes-free incident statins users was identified from the Quebec's publicly funded medico-administrative database (Full Cohort). We created two matched sub-cohorts by matching one patient initiated on a lower potency to one patient initiated on a high potency either on patients' PS or hdPS. Both methods' performance were compared by means of the absolute standardized differences (ASDD) regarding relevant characteristics and by means of the obtained measures of association.

RESULTS

Eight out of the 18 examined characteristics were shown to be unbalanced within the Full Cohort. Although matching on either method achieved balance within all examined characteristic, matching on patients' hdPS created the most balanced sub-cohort. Measures of associations and confidence intervals obtained within the two matched sub-cohorts overlapped.

CONCLUSION

Although ASDD suggest better matching with hdPS than with PS, measures of association were almost identical when adjusted for either method. Use of the hdPS method in adjusting for confounding by indication within future studies should be recommended due to its ability to identify confounding variables which may be unknown to the investigators.

[An updated overview of the high intensity lipid lowering therapy in high cardiovascular risk patients]

Statins are highly effective drugs to decrease the plasma concentrations of atherogenic lipoproteins and prevent cardiovascular disease. The clinical practice guidelines recommend the use of high-intensity statins to lower LDL-cholesterol by at least 50% in patients with CVD and those at high cardiovascular risk. The recommendations for the treatment of hypercholesterolaemia by the ACC/AHA have led to a paradigm shift in cardiovascular prevention. These recommendations have abandoned the therapeutic goals of LDL-cholesterol, and recommend the treatment with statins of high or moderate intensity in four high cardiovascular risk groups. These recommendations are different from the European guidelines on cardiovascular disease prevention, in which their objectives are still towards LDL-cholesterol. This paper reviews this controversy from different angles and from the perspective of the Spanish Interdisciplinary Committee for Cardiovascular Disease Prevention. Intervention studies with high intensity statins in primary prevention, in patients with acute coronary syndrome, and with stable ischaemic heart disease are also described. Likewise, treatment with statins of high intensity is addressed in terms of their effectiveness in cardiovascular prevention and in terms of their safety, with particular attention to muscle effects, as well as taking into account the pharmacological characteristics of the different statins and the increased safety of those with less potential for interactions. Finally, new agents are described for the treatment of hypercholesterolaemia, with special emphasis on anti-PCSK9 monoclonal antibodies, a new therapeutic group for the treatment of hypercholesterolaemia that will offer a huge progress in the prevention of cardiovascular diseases.

Drug-Induced Diabetes Mellitus: Evidence for Statins and Other Drugs Affecting Glucose Metabolism

Abnormalities of glucose metabolism and glucose tolerance, either because of a reduction in tissue sensitivity to insulin (e.g., in liver, skeletal muscle, and adipose tissues) and/or a reduction in pancreatic insulin secretion, are associated with a number of unwanted health outcomes. Even small increases in circulating glucose levels (often described as dysglycemia or prediabetes) may confer an increased risk of cardiovascular (CV) disease and progression to overt type 2 diabetes. A number of drug therapies, many of them used long term in chronic disease management, have adverse effects on glucose metabolism, diabetes risk, and glycemic control among patients with preexisting diabetes. In this study, we review the evidence, underlying mechanisms, and the clinical significance of drug-related adverse effects on glucose metabolism.