Carotid intima layer thickness but not intima-media thickness is related to coronary artery calcification in type 2 diabetes individuals: Results from the Brazilian diabetes study.

BACKGROUND AND AIMS: Carotid intima-media thickness (cIMT) is inconsistent in predicting cardiovascular risk. This may stem from the variability of the media thickness (cM) outweighing the intimal thickness (cIT) as the sign of atherosclerosis. Thus, we evaluated in type 2 diabetes (T2D) individuals, the association between carotid measures and coronary artery calcification (CAC). METHODS AND RESULTS: Association between the presence of CAC and cIT, cM, and cIMT were examined on 224 individuals. Logistic binary regression was used to assess CAC predictors. The Akaike information criterion (AIC) and log-likelihood test (LLT) were used to assess differences among univariate models. The cIT (0.335 mm vs 0.363 mm; p = 0.001) and cIMT (0.715 vs 0.730; p = 0.019), but not cM (0.386 mm vs 0,393 mm; p = 0.089) were higher among individuals with CAC. In unadjusted analysis, cIT (273;-134; p = 0.001) showed greater relationship with CAC, when compared to cIMT (279;-137; p = 0.022) and cM (281;-139; p = 0.112) based on the AIC and LLT, respectively. In multivariate logistic regression, CAC was related to carotid plaque (OR): 1.91, 95% confidence interval (CI):1.08, 3.38; p = 0.027), and high-cIT (OR: 2.70, 95%CI:1.51, 4.84; p = 0.001), but not to high-cIMT (OR:1.70, 95%CI:0.96, 3.00; p = 0.067) nor high-cM (OR:1.33, 95%CI:0.76, 2.34; p = 0.322). CONCLUSION: In T2D individuals, cIT is a better predictor of CAC than cIMT; cM is not associated with CAC.

Rationale and design of the Brazilian diabetes study: a prospective cohort of type 2 diabetes.

BACKGROUND: Optimal control of traditional risk factors only partially attenuates the exceeding cardiovascular mortality of individuals with diabetes. Employment of machine learning (ML) techniques aimed at the identification of novel features of risk prediction is a compelling target to tackle residual cardiovascular risk. The objective of this study is to identify clinical phenotypes of T2D which are more prone to developing cardiovascular disease. METHODS: The Brazilian Diabetes Study is a single-center, ongoing, prospective registry of T2D individuals. Eligible patients are 30 years old or older, with a confirmed T2D diagnosis. After an initial visit for the signature of the informed consent form and medical history registration, all volunteers undergo biochemical analysis, echocardiography, carotid ultrasound, ophthalmologist visit, dual x-ray absorptiometry, coronary artery calcium score, polyneuropathy assessment, advanced glycation end-products reader, and ambulatory blood pressure monitoring. A 5-year follow-up will be conducted by yearly phone interviews for endpoints disclosure. The primary endpoint is the difference between ML-based clinical phenotypes in the incidence of a composite of death, myocardial infarction, revascularization, and stroke. Since June/2016, 1030 patients (mean age: 57 years, diabetes duration of 9.7 years, 58% male) were enrolled in our study. The mean follow-up time was 3.7 years in October/2021. CONCLUSION: The BDS will be the first large population-based cohort dedicated to the identification of clinical phenotypes of T2D at higher risk of cardiovascular events. Data derived from this study will provide valuable information on risk estimation and prevention of cardiovascular and other diabetes-related events. CLINICALTRIALS.GOV IDENTIFIER: NCT04949152.

P-wave duration is a predictor for long-term mortality in post-CABG patients.

Risk stratification in secondary prevention has emerged as an unmet clinical need in order to mitigate the Number-Needed-to-Treat and make expensive therapies both clinically relevant and cost-effective. P wave indices reflect atrial conduction, which is a sensitive marker for inflammatory, metabolic, and pressure overload myocardial cell remodeling; the three stimuli are traditional mechanisms for adverse clinical evolution. Accordingly, we sought to investigate the predictive role of P-wave indices to estimate residual risk in patients with chronic coronary artery disease (CAD). The cohort included 520 post-Coronary Artery Bypass Grafting patients with a median age of 60 years who were followed for a median period of 1025 days. The primary endpoint was long-term all-cause death. Cubic spline model demonstrated a linear association between P-wave duration and incidence rate of long-term all-cause death (p = 0.023). P-wave >110ms was a marker for an average of 425 days shorter survival as compared with P-wave under 80ms (Logrank p = 0.020). The Cox stepwise regression models retained P-wave duration as independent marker (HR:1.37; 95%CI:1.05-1.79,p = 0.023). In conclusion, the present study suggests that P-wave measurement may constitute a simple, inexpensive and accessible prognostic tool to be added in the bedside risk estimation in CAD patients.