Care gaps in achieving cholesterol targets in people with diabetes: A population-based study in a universal health care setting

2024 Egyptian consensus statement on the role of non-statin therapies for LDL cholesterol lowering in different patient risk categories

BACKGROUND

The new millennium has witnessed increased understanding of cardiovascular (CV) risk factors and improvement in atherosclerotic cardiovascular disease (ASCVD) management. The role of LDL cholesterol and other atherogenic lipid particles in the development of atherosclerosis is now beyond doubt.

MAIN BODY

Statins have been widely used and recommended in guidelines for preventing and managing ischemic events. However, statins have side effects, and many patients do not achieve their low-density lipoprotein cholesterol (LDL-C) goals. In recent years, non-statin lipid-lowering agents have gained increasing use as adjuncts to statins or as alternatives in patients who cannot tolerate statins. This consensus proposes a simple approach for initiating non-statin lipid-lowering therapy and provides evidence-based recommendations. Our key advancements include the identification of patients at extreme risk for CV events, the consideration of initial combination therapy of statin and ezetimibe in very high-risk and extreme-risk groups and the extended use of bempedoic acid in patients not reaching LDL-C targets especially in resource-limited settings.

CONCLUSIONS

Overall, this consensus statement provides valuable insights into the expanding field of non-statin therapies and offers practical recommendations to enhance CV care, specifically focusing on improving LDL-C control in Egypt. While these recommendations hold promise, further research and real-world data are needed for validation and refinement.

Medication Adherence and Treatment Satisfaction With Lipid-Lowering Drugs Among Patients With Diabetes and Dyslipidemia

BACKGROUND

Poor adherence to lipid-lowering drugs in diabetic patients with dyslipidemia increases has been linked with an increased cardiovascular risk. A better understanding of the determinants of adherence to lipid-lowering drugs and treatment satisfaction among people with diabetes and dyslipidemia is crucial.

OBJECTIVE

We aimed to assess the prevalence of adherence to lipid-lowering drugs, identify its determinant factors, and evaluate treatment satisfaction among users of lipid-lowering drugs who have diabetes and dyslipidemia.

METHODS

We surveyed 398 adult patients with diabetes and dyslipidemia, using a validated medication adherence survey (Adherence to Refills and Medications Scale) and a validated treatment satisfaction survey (Treatment Satisfaction Questionnaire for Medication, TSQM). Sociodemographic and medical history data were collected through questionnaires.

RESULTS

The prevalence of poor medication adherence was 36%. Factors associated with poor adherence included adverse reactions to medications, lack of medication availability, and lack of family support. Adherent patients reported lower low-density lipoprotein-cholesterol (LDL-C) and total cholesterol levels, higher treatment satisfaction, and a higher prevalence of cardiovascular disease and comorbidities. Having a family history of dyslipidemia was negatively associated with adherence, while the number of comorbidities positively influenced it. The scores of TSQM components such as effectiveness, global satisfaction, and convenience were significantly higher in people who were adherent or achieved the LDL-C target.

CONCLUSION AND RELEVANCE

Our findings highlight the need for interventions targeting several factors impacting adherence to lipid-lowering drugs in patients with diabetes and dyslipidemia. Managing adverse effects, leveraging family support, and ensuring medication access represent crucial aspects of improving adherence and potentially mitigating cardiovascular risks in this high-risk population.

Lower achievement of guideline recommended care in Canadian adults with early-onset diabetes: A population-based cohort study

AIMS

Adults with early-onset diabetes (age < 40 years) have an increased risk of complications, and it is unclear whether they are receiving guideline recommended care. We compared the frequency and results of haemoglobin A1c (HbA1c) testing in adults with early-onset and usual-onset diabetes and assessed factors related to guideline concordance.

METHODS

Population-level databases from Alberta, Canada (∼4.5 million) were used to identify adults with incident diabetes. The cohort was stratified by age at diagnosis (< 40 vs. ≥ 40 years) and then followed for 365 days for HbA1c testing. Adjusted multivariable analyses were used to identify clinical and sociodemographic factors associated with guideline concordance.

RESULTS

Among 23,643 adults with incident diabetes (mean age 54.1 ± 15.4 years; 42.1 % female), 18.9 % had early-onset diabetes. Early-onset diabetes was associated with lower frequency of testing (adjusted odds ratio (aOR), 0.80; 95 % CI 0.70-0.90) and above target glycaemic levels compared to usual-onset diabetes (aOR, 1.45; 95 % CI 1.29-1.64). Factors associated with guideline concordant frequency of HbA1c testing were rural residence and insulin use.

CONCLUSIONS

In our universal care setting with premium-free health care, early-onset diabetes was associated with lower rates of HbA1c testing and sub-optimal glycaemic control compared to those with usual-onset diabetes.

Trends and Gaps in Statin Use for Cardiovascular Disease Prevention in Type 2 Diabetes: A Real-World Study in Shanghai, China

BACKGROUND

Cardiovascular disease (CVD) is the major cause of death among persons with diabetes. As the preventative use of statin has been proved to reduce CVD risks, understanding the current status and the trend in statin use is crucial to improve clinical treatment strategies.

OBJECTIVE

Our study aimed to answer the question of what were the status and trend of statin use in Shanghai, China.

METHODS

Our study estimated statin use and trends from 2015 to 2021 among 702 727 patients with type 2 diabetes mellitus (T2DM) based on electronic health records from the Shanghai Hospital Link Database. Patients were grouped according to the presence of CVDs, tested separately for statin primary and secondary prevention use, and stratified by age and sex.

RESULTS

In the study population, 221 127 patients (31.5%) received statin therapy, and among patients with CVD, 157 622 patients (51.62%) received statin therapy for secondary prevention, but only 15% of patients received statins for primary prevention. The trend in the use of statins was still on the rise from 28.3% in 2015. Statin use increased with age (18-39 years, 14.0%; 40-59 years, 26.8%; 60-74 years, 33.35%; and 75 and over, 36.1%), and women (29.7%, n = 93 977) were less likely to receive statin therapy compared to men (32.9%, n = 127 150).

CONCLUSION

Despite the rise in statin use in T2DM in recent decades, a large proportion of subjects with T2DM did not receive statin therapy.

Leveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients

PURPOSE OF REVIEW

While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care.

RECENT FINDINGS

The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them.