Steno type 1 risk engine and preclinical atherosclerosis in Mediterranean individuals with type 1 diabetes

A comparative study of cardiovascular risk stratification methods in type 1 diabetes mellitus patients

The Steno Diabetes Center Copenhagen developed the Steno T1 Risk Engine (ST1RE) to predict cardiovascular events, encompassing fatal and nonfatal ischemic heart disease, ischemic stroke, heart failure, and peripheral arterial disease in type 1 diabetes mellitus(T1DM).The current study investigated the agreement between ST1RE and the Brazilian Society for Endocrinology and Metabology (SBEM) classification. Participants were included in the study if diagnosed with T1DM and had at least one outpatient visit in 2021. Patients with established cardiovascular disease and chronic kidney disease on dialysis were excluded. Clinical parameters were obtained from medical records, such as age, body mass index (BMI), blood pressure, physical activity, current smoking, microvascular target organ damage, levels of low-density lipoprotein cholesterol, creatinine, glycated hemoglobin (HbA1c), and albuminuria.Overall, 92 patients (38 males and 53 females) with an age median (P25; P75) of 33 years (25.5;42.5), BMI of 24.8 + 4.1 kg/m2, and duration of diabetes (mean ± SD) of 23.4 + 9.5 years were evaluated. There were no differences considering the gender for most analyzed variables, but a higher proportion of women exhibited microvascular complications such as microalbuminuria, macroalbuminuria, and retinopathy. Our results show a weak agreement in the 10-year cardiovascular risk estimation between SBEM and ST1RE classifications. According to SBEM criteria, 72.8% of patients were considered high-risk, while only 15.2% of patients received the same classification using ST1RE. The dissimilarities between these two classifications were also evident when age and gender factors were compared. While 60% of patients under 35 years were classified as high risk according to SBEM criteria, only 1.8% received this stratification risk in the ST1RE classification.The results indicate a low agreement between the 10-year cardiovascular event risk classification by SBEM and the classification by ST1RE for type 1 diabetes patients without established cardiovascular disease.

Comparison of coronary artery calcium score and cardiovascular risk-stratification by European Society of Cardiology Guidelines and Steno Type 1 Risk Engine in statin-naïve adults with type 1 diabetes

BACKGROUND

Coronary artery calcium (CAC) is a marker of atherosclerotic cardiovascular disease (CVD). However, for patients with type 1 diabetes (T1D), its relationship with T1D-specific cardiovascular (CV) risk-stratification tools is unknown.

AIMS

Assess prevalence of CAC and evaluate relationship between CAC and T1D-specific CV risk-stratification methods in T1D.

METHODS

Cross-sectional study of adults with T1D age 20-60 years, statin-naïve and no history of CVD. Data was obtained from electronic medical records and by interview. Presence of CAC was assessed using non-contrast cardiac computed tomography and quantified by Agatston Units (AU). CV risk-stratification was assessed using the 2019 European Society of Cardiology (ESC) Guidelines and the Steno T1 Risk Engine (ST1RE).

RESULTS

85 patients were included with mean age 35.4 ± 10.3 years, HbA1c 8.3 ± 1.5 % and T1D duration 17.0 ± 10.1 years. 67 patients (78.9 %) had a CAC score of 0 AU, 17 (20.0 %) >0-100 AU, and one (1.2 %) >100 AU. Duration of T1D (p = 0.009), body mass index (p = 0.029), neuropathy (p = 0.016) and low-density lipoprotein cholesterol levels (p = 0.016) were independently associated with a positive CAC score on multivariate analysis. Positive predictive value for a positive CAC score was 85.7 % for the ST1RE high risk category and 31.3 % for the 2019 ESC Guidelines very high risk category.

CONCLUSIONS

One-fifth of this T1D cohort had a positive CAC score. The ST1RE was superior in identifying positive CAC compared to the 2019 ESC Guidelines. Further studies are required to elucidate the role of CAC in personalising CV risk-stratification and statin initiation in T1D.

Carotid ultrasonography as a strategy to optimize cardiovascular risk management in type 1 diabetes: a cohort study

BACKGROUND AND AIMS

Although cardiovascular disease (CVD) remains the leading cause of mortality in type 1 diabetes (T1D), the use of cardioprotective drugs is scarce. We aimed to evaluate the impact of carotid ultrasonography (US) on the improvement in cardiovascular risk factors (CVRFs) in T1D.

METHODS AND RESULTS

T1D patients without CVD meeting criteria for lipid treatment according to guidelines (age ≥ 40 years, nephropathy and/or ≥ 10 years of diabetes duration with ≥ 1 additional CVRFs) were included. The carotid-US group (US-G) underwent a standardized US protocol and CVRF assessment; recommendations were made according to subclinical atherosclerosis status. The control group (CG) followed usual clinical practice. Changes in CVRFs, specially statin use and LDL cholesterol levels, at 1 year were analysed. A total of 318 patients were included (51.3% female, mean age of 49.1 years and 25.5 years of diabetes duration): 211 in the US-G and 107 in the CG. Participants in the US-G had a higher baseline LDL cholesterol than controls (114 vs. 102 mg/dL; p < 0.001). Lipid-lowering treatment was modified in 38.9% in the US-G and 6.5% in the CG (p < 0.001). At 1 year, the US-G was more frequently on statins, had lower LDL cholesterol and 27% had stopped smoking (p < 0.001 for all). Changes were more pronounced in those with plaques (p < 0.001). In multivariate analyses adjusted for age, sex and other CVRFs, belonging to the US-G was independently associated with the intensification of lipid-lowering treatment (OR 10.47 [4.06-27.01]). Propensity score-matching analysis yielded similar results (OR 20.09 [7.86-51.37]).

CONCLUSION

Carotid-US is independently associated with an intensification of lipid-lowering therapy in a high-risk T1D population.

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.

Performance of 2019 ESC risk classification and the Steno type 1 risk engine in predicting cardiovascular events in adults with type 1 diabetes: A retrospective study

AIMS

The study compares the performance of the European Society of Cardiology (ESC) risk criteria and the Steno Type 1 Risk Engine (ST1RE) in the prediction of cardiovascular (CV) events.

METHODS

456 adults with type 1 diabetes (T1D) were retrospectively studied. During 8.5 ± 5.5 years of observation, twenty-four patients (5.2%) experienced a CV event. The predictive performance of the two risk models was evaluated by classical metrics and the event-free survival analysis.

RESULTS

The ESC criteria show excellent sensitivity (91.7%) and suboptimal specificity (64.4 %) in predicting CV events in the very high CV risk group, but a poor performance in the high/moderate risk groups. The ST1RE algorithm shows a good predictive performance in all CV risk categories. Using ESC classification, the event-free survival analysis shows a significantly higher event rate in the very high CV risk group compared to the high/moderate risk group (p < 0.0019). Using the ST1RE algorithm, a significant difference in the event-free survival curve was found between the three CV risk categories (p < 0.0001).

CONCLUSIONS

In T1D the ESC classification has a good performance in predicting CV events only in those at very high CV risk, whereas the ST1RE algorithm has a good performance in all risk categories.

Biomarkers of fatty acid intake are independently associated with preclinical atherosclerosis in individuals with type 1 diabetes

PURPOSE

Information on the association between diet and cardiovascular disease (CVD) in type 1 diabetes (T1D) is scarce. We assessed the association between biomarkers of fatty acid (FA) intake and the presence of carotid plaques (a surrogate marker of future CVD events) in this high-risk population.

METHODS

Cross-sectional study in 167 consecutive T1D patients without CVD and with at least one of the following: ≥ 40 years, diabetic nephropathy, or ≥ 10 years of T1D duration with another CVD risk factor. The FA profile of erythrocyte membranes was determined by gas chromatography, and the number of carotid plaques (intima-media thickness ≥ 1.5 mm) was assessed by ultrasonography. Regression models were constructed adjusting for classical (age, gender, blood pressure, smoking habit, LDL-cholesterol, body mass index and statins) and T1D-specific risk factors (diabetes duration, HbA1c and chronic complications).

RESULTS

A total of 58.7% were men (mean age 48.3 ± 10.3 years, T1D duration 27.2 ± 10.1 years). Sixty-one patients (36.5%) showed carotid plaque. Linoleic acid decreased and all-C18:1trans increased with the number of carotid plaques (none, 1-2, ≥ 3 plaques; p for trend < 0.05). In multivariate regression models, linoleic acid remained inversely associated with the presence of plaque [1% increase of total FAs; OR 0.71 (0.53-0.95), p = 0.021] and ≥ 2 plaques [OR 0.70 (0.51-0.98), p = 0.039]; whereas, all-C18:1trans was positively associated with ≥ 3 plaques (0.1% increase of total FAs; OR 1.51 [1.05-2.16], p = 0.026).

CONCLUSIONS

Erythrocyte FA composition, as a biomarker of FA intake, was independently associated with preclinical atherosclerosis in T1DM. Our data support the potential role of an unfavorable pattern of fat intake and CVD risk in this population.

Cardiovascular Disease in Type 1 Diabetes Mellitus: Epidemiology and Management of Cardiovascular Risk

Cardiovascular disease (CVD) is a major cause of mortality in type 1 diabetes mellitus (T1DM) patients, and cardiovascular risk (CVR) remains high even in T1DM patients with good metabolic control. The underlying mechanisms remain poorly understood and known risk factors seem to operate differently in T1DM and type 2 diabetes mellitus (T2DM) patients. However, evidence of cardiovascular risk assessment and management in T1DM patients often is extrapolated from studies on T2DM patients or the general population. In this review, we examine the existing literature about the prevalence of clinical and subclinical CVD, as well as current knowledge about potential risk factors involved in the development and progression of atherosclerosis in T1DM patients. We also discuss current approaches to the stratification and therapeutic management of CVR in T1DM patients. Chronic hyperglycemia plays an important role, but it is likely that other potential factors are involved in increased atherosclerosis and CVD in T1DM patients. Evidence on the estimation of 10-year and lifetime risk of CVD, as well as the efficiency and age at which current cardiovascular medications should be initiated in young T1DM patients, is very limited and clearly insufficient to establish evidence-based therapeutic approaches to CVD management.

Impact of Simultaneous Pancreas-kidney Transplantation on Cardiovascular Risk in Patients With Diabetes

BACKGROUND

cardiovascular disease is the major cause of death in patients with type 1 Diabetes. Of the available risk predictors for this population, the Steno Type 1 Risk Engine (STENO T1) is the only one which includes kidney function as a risk factor, which is a well described independent risk factor for cardiovascular disease.

METHODS

we explore how SPKT modifies the predicted cardiovascular risk by the STENO T1 through a retrospective study including recipients of a first SPKT between 2000 and 2016.

RESULTS

268 SPKT recipients with a mean age of 40 years old and a median follow-up of 10 years were included. Prior to transplantation, the expected incidence of Cardiovascular Events (CVE) at 5 and 10 years according to STENO T1 would have been 31% and 50%, respectively, contrasting with an actual incidence of 9.3% and 16% for the same timepoints, respectively (P < 0.05). These differences were attenuated when STENO T1 was recalculated assuming 12th month glomerular filtration rate (at 5 and 10 years predicted CVE incidence was of 10.5% and 19.4%, respectively). Early pancreas graft failure (HR 3.00 [95% CI 1.14 - 7.88]; P = 0.02) was an independent risk factor for post-SPKT CVE, alongside with kidney graft failure (HR 2.90 [95% CI 1.53 - 5.48]; P = 0.001), and diabetes duration (HR 1.04 [95% CI 1.00-1.09], P = 0.04).

CONCLUSIONS

SPKT decreases in more two-thirds the predicted cardiovascular risk by the STENO T1. A functioning pancreas graft further reduces CVE risk, independently of kidney graft function.

Nuclear magnetic resonance lipoproteins are associated with carotid atherosclerosis in type 1 diabetes and pre-eclampsia

AIMS

Persistence of lipoprotein abnormalities in type 1 diabetes (T1D) and/or pre-eclampsia could be associated with cardiovascular disease (CVD). We assessed differences in the advanced lipoprotein profiles according to the presence of both conditions and their differential association with atherosclerosis.

MATERIAL AND METHODS

We recruited 112 women without CVD and last pregnancy ≥5 years previously, divided into four groups (n = 28 per group): (a) T1D and previous pre-eclampsia; (b) T1D without pre-eclampsia; (c) pre-eclampsia without T1D; and (d) controls (without T1D/pre-eclampsia). Groups were matched by several risk factors, and diabetes duration and retinopathy in T1D. Carotid intima-media thickness (IMT) and the presence of plaque (IMT ≥1.5 mm) were assessed by ultrasonography. The lipoprotein profile was evaluated by nuclear magnetic resonance (NMR) spectroscopy.

RESULTS

The participants were 44.9 ± 7.8 years old. Carotid plaque presence was 20.5%, with a higher prevalence in T1D and/or pre-eclampsia vs controls (P < .05). High-density lipoprotein (HDL)-related variables differed among groups, mainly driven by an increase in T1D (P < .05), whereas triglyceride-related variables were increased in pre-eclampsia [medium very low-density lipoprotein (VLDL) particles and triglyceride enrichment in HDL and low-density lipoprotein (LDL)]. Overall, in multivariate-adjusted models, LDL-related variables were the most strongly associated with atherosclerosis (P < .05). In age- and statin-adjusted models, previous pre-eclampsia showed an independent association with triglyceride-related variables (plaque: medium-VLDL-particles, OR 1.550 [1.013-2.374]; HDL-cholesterol/HDL-triglycerides ratio, OR 0.411 [0.175-0.967]). Regarding T1D, HDL-parameters were also differentially associated (maximum-IMT: HDL-cholesterol/HDL-particles ratio, β = -.258, P = .036).

CONCLUSIONS

NMR lipoproteins were differentially and independently associated with atherosclerosis in T1D/pre-eclampsia. Further studies are needed to ascertain the role of NMR parameters as CVD biomarkers in this high-risk population.

Evaluation of cardiovascular risk in adults with type 1 diabetes: poor concordance between the 2019 ESC risk classification and 10-year cardiovascular risk prediction according to the Steno Type 1 Risk Engine

BACKGROUND

Patients with type 1 diabetes (T1D) have higher mortality risk compared to the general population; this is largely due to increased rates of cardiovascular disease (CVD). As accurate CVD risk stratification is essential for an appropriate preventive strategy, we aimed to evaluate the concordance between 2019 European Society of Cardiology (ESC) CVD risk classification and the 10-year CVD risk prediction according to the Steno Type 1 Risk Engine (ST1RE) in adults with T1D.

METHODS

A cohort of 575 adults with T1D (272F/303M, mean age 36 ± 12 years) were studied. Patients were stratified in different CVD risk categories according to ESC criteria and the 10-year CVD risk prediction was estimated with ST1RE within each category.

RESULTS

Men had higher BMI, WC, SBP than women, while no difference was found in HbA1c levels between genders. According to the ESC classification, 92.5% of patients aged < 35 years and 100% of patients ≥ 35 years were at very high/high risk. Conversely, using ST1RE to predict the 10-year CVD risk within each ESC category, among patients at very high risk according to ESC, almost all (99%) had a moderate CVD risk according to ST1RE if age < 35 years; among patients aged ≥35 years, the majority (59.1%) was at moderate risk and only 12% had a predicted very high risk by ST1RE. The presence of target organ damage or three o more CV risk factors, or early onset T1D of long duration (> 20 years) alone identified few patients (< 30%) among those aged ≥35 years, who were at very high risk according to ESC, in whom this condition was confirmed by ST1RE; conversely, the coexistence of two or more of these criteria identified about half of the patients at high/very high risk also according to this predicting algorithm. When only patients aged ≥ 50 years were considered, there was greater concordance between ESC classification and ST1RE prediction, since as many as 78% of those at high/very high risk according to ESC were confirmed as such also by ST1RE.

CONCLUSIONS

Using ESC criteria, a large proportion (45%) of T1D patients without CVD are classified at very high CVD risk; however, among them, none of those < 35 years and only 12% of those ≥ 35 years could be confirmed at very high CVD risk by the ST1RE predicting algorithm. More studies are needed to characterize the clinical and metabolic features of T1D patients that identify those at very high CVD risk, in whom a very aggressive cardioprotective treatment would be justified.

Advanced lipoprotein profile disturbances in type 1 diabetes mellitus: a focus on LDL particles

Background

Lipoprotein disturbances have been associated with increased cardiovascular disease (CVD) risk in type 1 diabetes mellitus (T1DM). We assessed the advanced lipoprotein profile in T1DM individuals, and analysed differences with non-diabetic counterparts.

Methods

This cross-sectional study involved 508 adults with T1DM and 347 controls, recruited from institutions in a Mediterranean region of Spain. Conventional and advanced (assessed by nuclear magnetic resonance [NMR] spectroscopy) lipoprotein profiles were analysed. Crude and adjusted (by age, sex, statin use, body mass index and leukocyte count) comparisons were performed.

Results

The median (interquartile range) age of the study participants was 45 (38–53) years, 48.2% were men. In the T1DM group, the median diabetes duration was 23 (16–31) years, and 8.1% and 40.2% of individuals had nephropathy and retinopathy, respectively. The proportion of participants with hypertension (29.5 vs. 9.2%), and statin use (45.7% vs. 8.1%) was higher in the T1DM vs. controls (p < 0.001). The T1DM group had a better conventional (all parameters, p < 0.001) and NMR-lipid profile than the control group. Thus, T1DM individuals showed lower concentrations of atherogenic lipoproteins (VLDL-particles and LDL-particles) and higher concentrations of anti-atherogenic lipoproteins (HDL-particles) vs. controls, even after adjusting for several confounders (p < 0.001 for all). While non-diabetic women had a more favourable lipid profile than non-diabetic men, women with T1DM had a similar concentration of LDL-particles compared to men with T1DM (1231 [1125–1383] vs. 1257 [1128–1383] nmol/L, p = 0.849), and a similar concentration of small-LDL-particles to non-diabetic women (672.8 [614.2–733.9] vs. 671.2 [593.5–761.4] nmol/L, respectively; p = 0.790). Finally, T1DM individuals showed higher discrepancies between NMR-LDL-particles and conventional LDL-cholesterol than non-diabetic subjects (prevalence of LDL-cholesterol < 100 mg/dL & LDL-particles > 1000 nmol/L: 38 vs. 21.2%; p < 0.001). All these differences were largely unchanged in participants without lipid-lowering drugs (T1DM, n = 275; controls, n = 317).

Conclusions

Overall, T1DM participants showed a more favourable conventional and NMR-lipid profile than controls. However, the NMR-assessment identified several lipoprotein derangements in LDL-particles among the T1DM population (higher discrepancies in NMR-LDL-particles vs. conventional LDL-cholesterol; a worse profile in T1DM women) that were overlooked in the conventional analysis. Further studies are needed to elucidate their role in the development of CVD in this population.