Adherence to lipid-lowering therapy and risk for cardiovascular disease and death in type 1 diabetes mellitus: a population-based study from the Swedish National Diabetes Register

Management of dyslipidaemia in patients with comorbidities-facing the challenge: type 1 diabetes mellitus

Type 1 diabetes is associated with excess cardiovascular risk. In contrast to type 2 diabetes, however, age at the onset of type 1 diabetes and sex are major predictors of cardiovascular risk, while the role of low-density lipoprotein cholesterol (LDL-C) and lipid-lowering therapy is less clear. Since most data on the effects of lipid-lowering treatments are obtained from randomized clinical trials that included very predominantly patients with type 2 diabetes, it is almost impossible to specifically discern endpoints in type 1 diabetes. Inversely, most data specific for type 1 diabetes are obtained from real world findings. Consequently, the evidence on efficacy and safety of lipid-lowering therapies available from randomized clinical trials arises very predominantly from type 2 diabetes. Thus, this specific review summarizes the evidence of lipid-lowering drug classes in reducing cardiovascular risk in patients with type 1 diabetes.

Do clinical decision support tools improve quality of care outcomes in the primary prevention of cardiovascular disease: A systematic review and meta-analysis

Aim

To assess the effectiveness of Clinical Decision Support Tools (CDSTs) in enhancing the quality of care outcomes in primary cardiovascular disease (CVD) prevention.

Methods

A systematic review was undertaken in accordance with PRISMA guidelines, and included searches in Ovid Medline, Ovid Embase, CINAHL, and Scopus. Eligible studies were randomized controlled trials of CDSTs comprising digital notifications in electronic health systems (EHS/EHR) in various primary healthcare settings, published post-2013, in patients with CVD risks and without established CVD. Two reviewers independently assessed risk of bias using the Cochrane RoB-2 tool. Attainment of clinical targets was analysed using a Restricted Maximum Likelihood random effects meta-analysis. Other relevant outcomes were narratively synthesised due to heterogeneity of studies and outcome metrics.

Results

Meta-analysis revealed CDSTs showed improvement in systolic (Mean Standardised Difference (MSD)=0.39, 95 %CI=-0.31, -1.10) and diastolic blood pressure target achievement (MSD=0.34, 95 %CI=-0.24, -0.92), but had no significant impact on lipid (MSD=0.01; 95 %CI=-0.10, 0.11) or glucose target attainment (MSD=-0.19, 95 %CI=-0.66, 0.28). The CDSTs with active prompts increased statin initiation and improved patients' adherence to clinical appointments but had minimal effect on other medications and on enhancing adherence to medication.

Conclusion

CDSTs were found to be effective in improving blood pressure clinical target attainments. However, the presence of multi-layered barriers affecting the uptake, longer-term use and active engagement from both clinicians and patients may hinder the full potential for achieving other quality of care outcomes.

Lay Summary

The study aimed to evaluate how Clinical Decision Support Tools (CDSTs) impact the quality of care for primary cardiovascular disease (CVD) management. CDSTs are tools designed to support healthcare professionals in delivering the best possible care to patients by providing timely and relevant information at the point of care (ie. digital notifications in electronic health systems). Although CDST are designed to improve the quality of healthcare outcomes, the current evidence of their effectiveness is inconsistent. Therefore, we conducted a systematic review with meta-analysis, to quantify the effectiveness of CDSTs. The eligibility criteria targeted patients with CVD risk factors, but without diagnosed CVD. The meta-analysis found that CDSTs showed improvement in systolic and diastolic blood pressure target achievement but did not significantly impact lipid or glucose target attainment. Specifically, CDSTs showed effectiveness in increasing statin prescribing but not antihypertensives or antidiabetics prescribing. Interventions with CDSTs aimed at increasing screening programmes were effective for patients with kidney diseases and high-risk patients, but not for patients with diabetes or teenage patients with hypertension. Alerts were effective in improving patients' adherence to clinical appointments but not in medication adherence. This study suggests CDSTs are effective in enhancing a limited number of quality of care outcomes in primary CVD prevention, but there is need for future research to explore the mechanisms and context of multiple barriers that may hinder the full potential for cardiovascular health outcomes to be achieved.

Adherence to cardio-protective medications and cardiovascular disease in adults with type 1 diabetes

AIMS

We estimated overall refill adherence to all antihypertensive [AHT] and/or lipid-lowering drugs in the treatment regimen and its association with cardiovascular disease (CVD) in adults with type 1 diabetes, taking kidney disease into account.

METHODS

This Finnish Diabetic Nephropathy Study involved 1,558 adults with type 1 diabetes who had purchased AHT and/or lipid-lowering drugs within ± 0.5 year from baseline and were followed until their first CVD event, death, or end of 2015. Proportion of days covered (PDC) method was used to calculate adherence. The adherence was classified as good (≥80 %), intermediate (≥50 and <80%) or poor (<50%).

RESULTS

Median adherence rate was 74% (IQR 63-84 %). Both good (OR 0.55 [95% CI 0.33, 0.92], P=0.02) and intermediate (0.47 [0.29, 0.77], P=0.003) adherence were associated with lower odds of CVD, compared to poor adherence. Moreover, the higher the adherence percentage point in those with moderate albuminuria, the lower was the odds for CVD (0.81 [0.67, 0.98], P=0.03, per 10 unit increase in adherence).

CONCLUSIONS

In adults with type 1 diabetes, refill adherence of 50% or more to cardio-protective medications is associated with lower odds of incident CVD. Our findings highlight the relevance of going beyond prescribing protective CVD drugs, ensuring, and improving medication adherence matters.

Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach

People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.

Lifetime and 10-year cardiovascular risk prediction in individuals with type 1 diabetes: The LIFE-T1D model

AIMS

To develop and externally validate the LIFE-T1D model for the estimation of lifetime and 10-year risk of cardiovascular disease (CVD) in individuals with type 1 diabetes.

MATERIALS AND METHODS

A sex-specific competing risk-adjusted Cox proportional hazards model was derived in individuals with type 1 diabetes without prior CVD from the Swedish National Diabetes Register (NDR), using age as the time axis. Predictors included age at diabetes onset, smoking status, body mass index, systolic blood pressure, glycated haemoglobin level, estimated glomerular filtration rate, non-high-density lipoprotein cholesterol, albuminuria and retinopathy. The model was externally validated in the Danish Funen Diabetes Database (FDDB) and the UK Biobank.

RESULTS

During a median follow-up of 11.8 years (interquartile interval 6.1-17.1 years), 4608 CVD events and 1316 non-CVD deaths were observed in the NDR (n = 39 756). The internal validation c-statistic was 0.85 (95% confidence interval [CI] 0.84-0.85) and the external validation c-statistics were 0.77 (95% CI 0.74-0.81) for the FDDB (n = 2709) and 0.73 (95% CI 0.70-0.77) for the UK Biobank (n = 1022). Predicted risks were consistent with the observed incidence in the derivation and both validation cohorts.

CONCLUSIONS

The LIFE-T1D model can estimate lifetime risk of CVD and CVD-free life expectancy in individuals with type 1 diabetes without previous CVD. This model can facilitate individualized CVD prevention among individuals with type 1 diabetes. Validation in additional cohorts will improve future clinical implementation.

Impact of poor medication adherence on clinical outcomes and health resource utilization in patients with hypertension and/or dyslipidemia: systematic review

INTRODUCTION

We aimed to summarize evidence on the effect of poor medication adherence on clinical outcomes and health resource utilization (HRU) among patients with hypertension and/or dyslipidemia.

AREAS COVERED

A systematic review of studies reporting clinical outcomes and HRU for patients by status of adherence to antihypertensives and/or lipid-lowering medications was searched using Embase, MEDLINE, and MEDLINE In-Process and supplemented by manual searches of conference abstracts. In total, 45 studies were included, with most being retrospective observational studies (n = 36). Patients with poor adherence to antihypertensives and lipid-lowering medications compared with those with good adherence showed less reduction of blood pressure (BP) and low-density lipoprotein cholesterol (LDL-c) after 6-12 months follow-up (∆ systolic BP: 1.2 vs. -4.5 mmHg; ∆LDL-c: -14.0 to -18.9 vs. -34.1 to -42.0 mg/dL). Poor adherence was also significantly associated with a higher risk of cardiovascular events (HR: 1.1-1.9) and mortality (HR: 1.4-1.8) in patients with hypertension and dyslipidemia and increased HRU (i.e. outpatient visits, risk of cardiovascular-related and all-cause hospitalization, annual inpatient days, total health-care costs).

EXPERT OPINION

Poor adherence is associated with poor clinical outcomes and increased HRU, highlighting the need to enhance medication adherence in patients with hypertension and/or dyslipidemia.

Use of the Steno T1 Risk Engine Identifies Preclinical Atherosclerosis Better Than Use of ESC/EASD-2019 in Adult Subjects With Type 1 Diabetes at High Risk

OBJECTIVE

To evaluate the concordance between the 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD (ESC/EASD-2019) and the Steno T1 Risk Engine (Steno-Risk) cardiovascular risk scales for individuals with type 1 diabetes (T1D) without cardiovascular disease (CVD) and to analyze the relationships of their use with identification of preclinical atherosclerosis.

RESEARCH DESIGN AND METHODS

We consecutively selected patients with T1D, without CVD, age ≥40 years, with nephropathy, and/or with ≥10 years of T1D evolution with another risk factor. The presence of plaque at different carotid segments was determined by ultrasonography. Cardiovascular risk was estimated in accord with ESC/EASD-2019 risk groups (moderate/high/very high) and the Steno-Risk (<10%, low; 10-20%, moderate; ≥20%, high), as T1D-specific scores. In an exploratory analysis, we also evaluated the non-T1D-specific 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk (ACC/AHA-2013) pooled cohort equation for individuals between 40 and 79 years of age.

RESULTS

We included 501 patients (53% men, mean age 48.8 years, median T1D duration 26.5 years, 41.3% harboring plaques). Concordance between T1D-specific scales was poor (κ = 0.19). A stepped increase in the presence of plaques according to Steno-Risk category was seen (18.4%, 38.2%, and 64.1%, for low, moderate, and high risk, respectively; P for trend <0.001), with no differences according to ESC/EASD-2019 (P = 0.130). Steno-Risk identified individuals with plaques, unlike ESC/EASD-2019 (area under the curve [AUC] 0.691, P < 0.001, vs. AUC 0.538, P = 0.149). Finally, in polynomial regression models (with adjustment for lipid parameters and cardioprotective treatment), irrespective of the ESC/EASD-2019 category, high risk by Steno-Risk was directly associated with atherosclerosis (in moderate/high-risk by ESC/EASD-2019 odds ratio 2.91 [95% CI 1.27-6.72] and 4.94 [2.35-10.40] for the presence of plaque and two or more plaques). Similar results were obtained with discordant higher Steno-Risk versus ACC/AHA-2013 (P < 0.001).

CONCLUSIONS

Among T1D patients undergoing primary prevention, use of Steno-Risk seems to result in better recognition of individuals with atherosclerosis in comparison with ESC/EASD-2019. Notwithstanding, carotid ultrasound could improve the categorization of cardiovascular risk.

Impact of Socioeconomic Factors and Gender on Refill Adherence and Persistence to Lipid-Lowering Therapy in Type 1 Diabetes

INTRODUCTION

Lipid-lowering therapy (LLT) reduces the risk of cardiovascular disease (CVD) in patients with type 1 diabetes (T1D). However, socioeconomic factors and gender may have an impact on the adherence to and non-persistence with LLT.

METHODS

This was a nationwide register-based cohort study that included 6192 individuals with T1D aged ≥ 18 years who were registered in the Swedish National Diabetes Register and had initiated novel use of LLT. Information on socioeconomic parameters (source: Statistics Sweden) and comorbidity (source: National Patient Register) was collected. The individuals were followed for 36 months, and adherence to LLT was analyzed according to age, socioeconomics and gender. The medication possession ratio (MPR; categorized into ≤ 80% and > 80%) and non-persistence (discontinuation) with medication was calculated after 18 and 36 months.

RESULTS

Individuals older than 53 years were more adherent to LLT (MPR > 80%) than those younger than 36 years (odds ratio [(OR] 1.30, p < 0.0001) at 36 months. Women were more adherent and less prone to discontinue LLT at 18 months (OR 1.05, p = 0.0005 and OR 0.95, p = 0.0004, respectively), but not at 36 months. Divorced individuals were less adherent than married ones (OR 0.93, p = 0.0005) and discontinued LLT more often than the latter (OR 1.06, p = 0.003). Education had no impact on adherence, but individuals with higher incomes discontinued LLT less frequently than those with lower incomes. Individuals with a country of origin other than Sweden discontinued LLT more often.

CONCLUSION

Lower adherence to LLT in individuals with T1D was associated with male gender, younger age, marital status and country of birth. These factors should be considered when evaluating adherence to LLT in clinical practice, with the aim to help patients achieve full cardioprotective treatment.

Quantification of glycoproteins by nuclear magnetic resonance associated with preclinical carotid atherosclerosis in patients with type 1 diabetes

BACKGROUND AND AIMS

Glycoproteins play a key role in inflammatory and cardiometabolic processes. Their implication in atherosclerosis in type 1 diabetes (T1D) is unknown. We assessed the relationships between classic inflammatory markers, glycoproteins measured by nuclear magnetic resonance (¹H-NMR), and preclinical atherosclerosis in these patients.

METHODS AND RESULTS

We selected patients with T1D, without cardiovascular disease (CVD), with: age ≥40 years, nephropathy (micro/macroalbuminuria), or ≥10 years of evolution with another risk factor. The presence of plaque (intima-media thickness >1.5 mm) was determined by ultrasonography. Concentrations of high-sensitive C-reactive protein (hsCRP), circulating leukocytes (classical inflammation markers) and ¹H-NMR-glycoproteins (GlycA, GlycB, GlycF, and the height/width [H/W] ratios of GlycA and GlycB) were determined. We included 189 patients (58% male, age 47.0 [40.7-55.2] years). Thirty-five percent presented plaques (22%, ≥2 plaques). There was no association between hsCRP or leukocytes and atherosclerosis. However, in age- and sex-adjusted models, GlycA, GlycF, and the H/W ratios of GlycA and GlycB gradually increased with the number of plaques (0, 1, ≥2 plaques) only in patients without statins (p < 0.05), with no association in patients receiving this drug (p for interaction <0.05; in ≥2 plaques). Finally, in models adjusted for other classical and T1D-specific risk factors, GlycA and GlycB H/W ratios remained associated with carotid plaque (OR 1.39 [1.12-1.90] and OR 6.89 [1.85-25.62], respectively).

CONCLUSION

In T1D individuals without lipid-lowering treatment, ¹H-NMR-glycoproteins were independently associated with the presence and amount of carotid atherosclerosis, unlike other classical inflammatory markers. Further studies are needed to ascertain their utility as CVD biomarkers.