Cardiovascular Diabetology最新文献

Background: The potential preventive effect of fenofibrate on lower extremity amputation (LEA) and peripheral arterial disease (PAD) in patients with type 2 diabetes (T2D) is not fully elucidated.

Methods: We selected adult patients ≥ 20 years of age with T2D from the Korean National Health Insurance Service Database (2009-2012). The fenofibrate users were matched in a 1:4 ratio with non-users using propensity scores (PS). The outcome variables were a composite of LEA and PAD and the individual components. The risks of outcomes were implemented as hazard ratio (HR) with 95% confidence intervals (CI). For safety issues, the risks of acute kidney injury, rhabdomyolysis and resulting hospitalization were analyzed.

Results: A total of 114,920 patients was included in the analysis with a median follow-up duration of 7.6 years (22,984 and 91,936 patients for the fenofibrate user and non-user groups, respectively). After PS matching, both groups were well balanced. The fenofibrate group was associated with significantly lower risks of composite outcome of LEA and PAD (HR 0.81; 95% CI 0.70-0.94), LEA (HR 0.76; 95% CI 0.60-0.96), and PAD (HR 0.81; 95% CI 0.68-0.96). The risk of acute kidney injury, rhabdomyolysis, or hospitalization for these events showed no significant difference between the two groups. Subgroup analyses revealed consistent benefits across age groups, genders, and baseline lipid profiles.

Conclusions: This nationwide population-based retrospective observational study suggests that fenofibrate can prevent LEA and PAD in patients with T2D who are on statin therapy.

Background: Heart failure with preserved ejection fraction (HFpEF) is common in type 2 diabetes mellitus (T2D), leading to high morbidity and mortality. Managing HFpEF in diabetic patients is challenging with limited treatments. Sodium-glucose co-transporter 2 (SGLT2) inhibitors and glucagon-like peptide-1 receptor agonists (GLP1-RA) have shown potential cardiovascular benefits. This meta-analysis compares the effects of GLP1-RA and SGLT2 inhibitors on HFpEF in T2D patients.

Methods: We conducted a meta-analysis of randomized controlled trials (RCTs) and observational studies evaluating GLP1-RA and SGLT2 inhibitors' impact on HFpEF in T2D patients. Databases searched included PubMed, MEDLINE, and Cochrane Library up to July 2024. Primary outcomes were changes in left ventricular ejection fraction (LVEF), myocardial fibrosis (extracellular volume fraction, ECV), and functional capacity (6-minute walk test, 6MWT). Secondary outcomes included HbA1c, body weight, and systolic blood pressure (SBP).  RESULTS: Twelve studies with 3,428 patients (GLP1-RA: 1,654; SGLT2 inhibitors: 1,774) were included. Both GLP1-RA and SGLT2 inhibitors significantly improved LVEF compared to placebo (GLP1-RA: mean difference [MD] 2.8%, 95% confidence interval [CI] 1.5 to 4.1, p < 0.001; SGLT2 inhibitors: MD 3.2%, 95% CI 2.0 to 4.4, p < 0.001). SGLT2 inhibitors significantly reduced myocardial fibrosis (MD -3.5%, 95% CI -4.2 to -2.8, p < 0.001) more than GLP1-RA (MD -2.3%, 95% CI -3.0 to -1.6, p < 0.001). Functional capacity improved significantly with both treatments (GLP1-RA: MD 45 m, 95% CI 30 to 60, p < 0.001; SGLT2 inhibitors: MD 50 m, 95% CI 35 to 65, p < 0.001). Secondary outcomes showed reductions in HbA1c (GLP1-RA: MD -1.1%, 95% CI -1.4 to -0.8, p < 0.001; SGLT2 inhibitors: MD -1.0%, 95% CI -1.3 to -0.7, p < 0.001) and body weight (GLP1-RA: MD -2.5 kg, 95% CI -3.1 to -1.9, p < 0.001; SGLT2 inhibitors: MD -2.0 kg, 95% CI -2.6 to -1.4, p < 0.001). Both treatments significantly lowered SBP (GLP1-RA: MD -5.2 mmHg, 95% CI -6.5 to -3.9, p < 0.001; SGLT2 inhibitors: MD -4.8 mmHg, 95% CI -6.0 to -3.6, p < 0.001).

Conclusions: GLP1-RA and SGLT2 inhibitors significantly benefit HFpEF management in T2D patients. SGLT2 inhibitors reduce myocardial fibrosis more effectively, while both improve LVEF, functional capacity, and metabolic parameters. These therapies should be integral to HFpEF management in diabetic patients. Further research is needed on long-term outcomes and potential combined therapy effects.

Background: The association between baseline triglyceride glucose index (TyG index) and incident non-communicable diseases, mainly in Asian populations, has been reported. In the current study, we aimed to evaluate the association between index-year, average, and visit-to-visit variability (VVV) of the TyG index with incident type 2 diabetes mellitus (T2DM), hypertension, cardiovascular disease (CVD), and all-cause mortality among the Iranian population.

Methods: The study population included 5220 participants (2195 men) aged ≥ 30 years. TyG index was calculated as Ln (fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2). Average values of the TyG index and also VVV (assessed by the standard deviation (SD) and variability independent of mean) were derived during the exposure period from 2002 to 2011 (index-year). Multivariable Cox proportional hazards regression models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of the TyG index for incident different health outcomes.

Results: During more than 6 years of follow-up after the index year, 290, 560, 361, and 280 events of T2DM, hypertension, CVD, and all-cause mortality occurred. 1-SD increase in the TyG index values at the index-year was independently associated with the incident T2DM [HR (95% CI) 2.50 (2.13-2.93)]; the corresponding values for the average of TyG index were 2.37 (2.03-2.76), 1.12 (0.99-1.26, p_value = 0.05), 1.18 (1.01-1.36), and 1.29 (1.08-1.53) for incident T2DM, hypertension, CVD, and all-cause mortality, respectively. Compared to the first tertile, tertile 3 of VVV of the TyG index was independently associated with incident hypertension [1.33 (1.07-1.64), P_trend <0.01]. Likewise, a 1-SD increase in VVV of the TyG index was associated with an 11% excess risk of incident hypertension [1.11 (1.02-1.21)]. However, no association was found between the VVV of the TyG index and other outcomes. Moreover, the impact of index-year and average values of the TyG index was more prominent among women regarding incident CVD (P for interactions < 0.05).

Conclusion: Although the higher TyG index at index-year and its VVV were only associated with the incident T2DM and hypertension, respectively, its average value was capable of capturing the risk for all of the health outcomes.

Background: Diabetes mellitus (DM), prediabetes, and insulin resistance are highly prevalent in patients with ischemic stroke (IS). DM is associated with higher risk for poor outcomes after IS.

Objective: Investigate the risk of recurrent vascular events and mortality associated with impaired glucose metabolism compared to normoglycemia in patients with IS and transient ischemic attack (TIA).

Methods: Systematic literature search was performed in PubMed, Embase, Cochrane Library on 21st March 2024 and via citation searching. Studies that comprised IS or TIA patients and exposures of impaired glucose metabolism were eligible. Study Quality Assessment Tool was used for risk of bias assessment. Covariate adjusted outcomes were pooled using random-effects meta-analysis.

Main outcomes: Recurrent stroke, cardiac events, cardiovascular and all-cause mortality and composite of vascular outcomes.

Results: Of 10,974 identified studies 159 were eligible. 67% had low risk of bias. DM was associated with an increased risk for composite events (pooled HR (pHR) including 445,808 patients: 1.58, 95% CI 1.34-1.85, I² = 88%), recurrent stroke (pHR including 1.161.527 patients: 1.42 (1.29-1.56, I² = 92%), cardiac events (pHR including 443,863 patients: 1.55, 1.50-1.61, I² = 0%), and all-cause mortality (pHR including 1.031.472 patients: 1.56, 1.34-1.82, I² = 99%). Prediabetes was associated with an increased risk for composite events (pHR including 8,262 patients: 1.50, 1.15-1.96, I² = 0%) and recurrent stroke (pHR including 10,429 patients: 1.50, 1.18-1.91, I² = 0), however, not with mortality (pHR including 9,378 patients, 1.82, 0.73-4.57, I² = 78%). Insulin resistance was associated with recurrent stroke (pHR including 21,363 patients: 1.56, 1.19-2.05, I² = 55%), but not with mortality (pHR including 21,363 patients: 1.31, 0.66-2.59, I² = 85%).

Discussion: DM is associated with a 56% increased relative risk of death after IS and TIA. Risk estimates regarding recurrent events are similarly high between prediabetes and DM, indicating high cardiovascular risk burden already in precursor stages of DM. There was a high heterogeneity across most outcomes.

Background: Continuous glucose monitoring (CGM) devices provide detailed information on daily glucose control and glycemic variability. Yet limited population-based studies have explored the association between CGM metrics and fatty liver. We aimed to investigate the associations of CGM metrics with the degree of hepatic steatosis.

Methods: This cross-sectional study included 1180 participants from the Guangzhou Nutrition and Health Study. CGM metrics, covering mean glucose level, glycemic variability, and in-range measures, were separately processed for all-day, nighttime, and daytime periods. Hepatic steatosis degree (healthy: n = 698; mild steatosis: n = 242; moderate/severe steatosis: n = 240) was determined by magnetic resonance imaging proton density fat fraction. Multivariate ordinal logistic regression models were conducted to estimate the associations between CGM metrics and steatosis degree. Machine learning models were employed to evaluate the predictive performance of CGM metrics for steatosis degree.

Results: Mean blood glucose, coefficient of variation (CV) of glucose, mean amplitude of glucose excursions (MAGE), and mean of daily differences (MODD) were positively associated with steatosis degree, with corresponding odds ratios (ORs) and 95% confidence intervals (CIs) of 1.35 (1.17, 1.56), 1.21 (1.06, 1.39), 1.37 (1.19, 1.57), and 1.35 (1.17, 1.56) during all-day period. Notably, lower daytime time in range (TIR) and higher nighttime TIR were associated with higher steatosis degree, with ORs (95% CIs) of 0.83 (0.73, 0.95) and 1.16 (1.00, 1.33), respectively. For moderate/severe steatosis (vs. healthy) prediction, the average area under the receiver operating characteristic curves were higher for the nighttime (0.69) and daytime (0.66) metrics than that of all-day metrics (0.63, P < 0.001 for all comparisons). The model combining both nighttime and daytime metrics achieved the highest predictive capacity (0.73), with nighttime MODD emerging as the most important predictor.

Conclusions: Higher CGM-derived mean glucose and glycemic variability were linked with higher steatosis degree. CGM-derived metrics during nighttime and daytime provided distinct and complementary insights into hepatic steatosis.

Background: Numerous observational studies have demonstrated that circulating lipoprotein(a) [Lp(a)] might be inversely related to the risk of type 2 diabetes (T2D). However, recent Mendelian randomization (MR) studies do not consistently support this association. The results of in vitro research suggest that high insulin concentrations can suppress Lp(a) levels by affecting apolipoprotein(a) [apo(a)] synthesis. This study aimed to identify the relationship between genetically predicted insulin concentrations and Lp(a) levels, which may partly explain the associations between low Lp(a) levels and increased risk of T2D.

Methods: Independent genetic variants strongly associated with fasting insulin levels were identified from meta-analyses of genome-wide association studies in European populations (GWASs) (N = 151,013). Summary level data for Lp(a) in the population of European ancestry were acquired from a GWAS in the UK Biobank (N = 361,194). The inverse-variance weighted (IVW) method approach was applied to perform two-sample summary-level MR. Robust methods for sensitivity analysis were utilized, such as MR‒Egger, the weighted median (WME) method, MR pleiotropy residual sum and outlier (MR-PRESSO), leave-one-out analysis, and MR Steiger.

Results: Genetically predicted fasting insulin levels were negatively associated with Lp(a) levels (β = - 0.15, SE = 0.05, P = 0.003). The sensitivity analysis revealed that WME (β = - 0.26, SE = 0.07, P = 0.0002), but not MR‒Egger (β = - 0.22, SE = 0.13, P = 0.11), supported a causal relationship between genetically predisposed insulin levels and Lp(a).

Conclusion: Our MR study provides robust evidence supporting the association between genetically predicted increased insulin concentrations and decreased concentrations of Lp(a). These findings suggest that hyperinsulinaemia, which typically accompanies T2D, can partially explain the inverse relationship between low Lp(a) concentrations and an increased risk of T2D.

Objective: We aimed to summarize the association between gestational diabetes mellitus (GDM) and its intergenerational cardiovascular diseases (CVDs) impacts in both mothers and offspring post-delivery in existing literature.

Methods: PubMed, Embase, Web of Science, and Scopus were utilized for searching publications between January 1980 and June 2024, with data extraction and meta-analysis continuing until 31 July 2024. Based on a predefined PROSPERO protocol, studies published as full-length, English-language journal articles that reported the presence of GDM during pregnancy and its association with any CVD development post-delivery were selected. All studies were evaluated using the Newcastle-Ottawa Scale. Maximally adjusted risk estimates were pooled using random-effects meta-analysis to assess the risk ratio (RR) of GDM, and overall and subtypes of CVDs in both mothers and offspring post-delivery.

Results: The meta-analysis was based on 38 studies with a total of 77,678,684 participants. The results showed a 46% increased risk (RR 1.46, 95% CI 1.34-1.59) for mothers and a 23% increased risk (1.23, 1.05-1.45) for offspring of developing overall CVDs after delivery, following a GDM-complicated pregnancy. Our subgroup analysis revealed that mothers with a history of GDM faced various risks (20% to 2-fold) of developing different subtypes of CVDs, including cerebrovascular disease, coronary artery disease, heart failure, and venous thromboembolism.

Conclusions: These findings underscore the heightened risk of developing various CVDs for mothers and offspring affected by GDM, emphasizing the importance of preventive measures even right after birth to mitigate the burden of CVDs in these populations.

Background: Sodium-glucose cotransporter-2 (SGLT2) inhibitors have demonstrated reduction in heart failure outcomes in patients with type 2 diabetes mellitus, although the exact mechanism of benefit remains unclear. Alteration in left atrial (LA) function due to chronic pressure or volume overload is a hallmark of heart failure.

Objective: To evaluate the effect of the SGLT2 inhibitor empagliflozin on LA volume and function.

Methods: 90 patients with coronary artery disease and type 2 diabetes (T2DM) were randomized to empagliflozin (n = 44) or placebo (n = 46), and underwent cardiac magnetic resonance (CMR) imaging at baseline and after 6 months. The main outcome was change in LA volume; LA function, including active and passive components, was also measured by a blinded reader.

Results: At baseline, there was no significant difference in LA volumes between the empagliflozin (indexed maximum LA volume 26.4 ± 8.4mL/m², minimum LA volume 11.1 ± 5.7mL/m²) and placebo (indexed maximum LA volume 28.7 ± 8.2mL/m², minimum LA volume 12.6 ± 5.0mL/m²) groups. After 6 months, changes in LA volumes did not differ with adjusted difference (empagliflozin minus placebo): 0.99 mL/m² (95% CI: -1.7 to 3.7 mL/m²; p = 0.47) for indexed maximum LA volume, and 0.87 mL/m² (95% CI: -0.9 to 2.6 mL/m²; p = 0.32) for indexed minimum LA volume. Changes in total LA emptying fraction were also similar, with between-group adjusted mean difference - 0.01 (95% CI: -0.05 to 0.03, p = 0.59).

Conclusion: SGLT2 inhibition with empagliflozin for 6 months did not have a significant impact on LA volume and function in patients with T2DM and coronary artery disease. (Effects of Empagliflozin on Cardiac Structure in Patients with Type 2 Diabetes [EMPA-HEART]; NCT02998970).

Background: Type 2 diabetes mellitus (T2DM) and metabolic-associated fatty liver disease (MAFLD) are both metabolic disorders that negatively impact the cardiovascular system. This study comprehensively analyzed the additive effect of MAFLD on left ventricular function and global strain in T2DM patients by cardiac magnetic resonance (CMR).

Methods: Data of 261 T2DM patients, including 109 with and 152 without MAFLD, as well as 73 matched normal controls from our medical center between June 2015 and March 2022 were retrospectively analyzed. CMR-derived parameters, including LV function and global strain parameters, were compared among different groups. Univariate and multivariate linear regression analyses were conducted to investigate the impact of various factors on LV function and global strain.

Results: Our investigation revealed a progressive deterioration in LV functional parameters across three groups: control subjects, T2DM patients without MAFLD, and T2DM patients with MAFLD. Statistically significant increases in left ventricular end-diastolic volume index (LVEDVI), left ventricular end-systolic volume index (LVESVI), left ventricular mass index (LVMI) were observed, along with decreases in left ventricular ejection fraction (LVEF) and left ventricular global function index (LVGFI). Among these three groups, significant reductions were also noted in the absolute values of LV global radial, circumferential, and longitudinal peak strains (GRPS, GCPS, and GLPS), as well as in peak systolic (PSSR) and peak diastolic strain rates (PDSR). MAFLD was identified as an independent predictor of LVEF, LVMI, LVGFI, GRPS, GCPS, and GLPS in multivariate linear analysis. Besides, the incidence of late gadolinium enhancement was higher in MAFLD patients than in non-MAFLD patients (50/109 [45.9%] vs. 42/152 [27.6%], p = 0.003). Furthermore, escalating MAFLD severity was associated with a numerical deterioration in both LV function parameters and global strain values.

Conclusions: This study thoroughly compared CMR parameters in T2DM patients with and without MAFLD, uncovering MAFLD's adverse impact on LV function and deformation in T2DM patients. These findings highlight the critical need for early detection and comprehensive management of cardiac function in T2DM patients with MAFLD.

Background: Insulin resistance is a frequent precursor of typical obesity and metabolic syndrome complications. However, accurate diagnosis remains elusive because of its pathophysiological complexity and heterogeneity. Herein, we have explored the utility of insulin secretion dynamics in response to an oral glucose tolerance test as a surrogate marker to identify distinct metabotypes of disease severity.

Methods: The study population consisted of children with obesity and insulin resistance, stratified according to the post-challenge insulin peak timing (i.e., early, middle, and late peak), from whom fasting and postprandial plasma and erythrocytes were collected for metabolomics analysis.

Results: Children with late insulin peak manifested worse cardiometabolic health (i.e., higher blood pressure, glycemia, and HOMA-IR scores) than early responders. These subjects also showed more pronounced changes in metabolites mirroring failures in energy homeostasis, oxidative stress, metabolism of cholesterol and phospholipids, and adherence to unhealthy dietary habits. Furthermore, delayed insulin peak was associated with impaired metabolic flexibility, as reflected in compromised capacity to regulate mitochondrial energy pathways and the antioxidant defense in response to glucose overload.

Conclusions: Altogether, these findings suggest that insulin resistance could encompass several phenotypic subtypes characterized by graded disturbances in distinctive metabolic derangements occurring in childhood obesity, which serve as severity predictive markers.