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Martins NS, Barreto J, Kimura-Medorima ST, Vitte SH, Quinaglia T, Assato B, Coelho-Filho OR, Matos-Souza JR, Nadruz W, Sposito AC. 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. Nutr Metab Cardiovasc Dis 2023; 33:2384-2388. [PMID: 37798228 DOI: 10.1016/j.numecd.2023.07.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/06/2023] [Accepted: 07/20/2023] [Indexed: 10/07/2023]
Abstract
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.
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Affiliation(s)
- Nestor S Martins
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Joaquim Barreto
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil; Atherosclerosis and Vascular Biology Laboratory (Aterolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Sheila Tatsumi Kimura-Medorima
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil; Atherosclerosis and Vascular Biology Laboratory (Aterolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Sofia Helena Vitte
- Atherosclerosis and Vascular Biology Laboratory (Aterolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Thiago Quinaglia
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil; Atherosclerosis and Vascular Biology Laboratory (Aterolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Barbara Assato
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil; Atherosclerosis and Vascular Biology Laboratory (Aterolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Otavio Rizzi Coelho-Filho
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Jose Roberto Matos-Souza
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Wilson Nadruz
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Andrei C Sposito
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil; Atherosclerosis and Vascular Biology Laboratory (Aterolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil.
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Barreto J, Wolf V, Bonilha I, Luchiari B, Lima M, Oliveira A, Vitte S, Machado G, Cunha J, Borges C, Munhoz D, Fernandes V, Kimura-Medorima ST, Breder I, Fernandez MD, Quinaglia T, Oliveira RB, Chaves F, Arieta C, Guerra-Júnior G, Avila S, Nadruz W, Carvalho LSF, Sposito AC. Rationale and design of the Brazilian diabetes study: a prospective cohort of type 2 diabetes. Curr Med Res Opin 2022; 38:523-529. [PMID: 35174749 DOI: 10.1080/03007995.2022.2043658] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
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.
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Affiliation(s)
- Joaquim Barreto
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Vaneza Wolf
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
- Growth and Body Composition Lab, Center for Investigation in Pediatrics, Faculty of Medical Sciences, University of Campinas, São Paulo, Brazil
| | - Isabella Bonilha
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Beatriz Luchiari
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Marcus Lima
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Alessandra Oliveira
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Sofia Vitte
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Gabriela Machado
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Jessica Cunha
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Cynthia Borges
- Nephrology Division, Clinics Hospital, University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Daniel Munhoz
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Vicente Fernandes
- Department of Ophthalmology, Clinics Hospital, University of Campinas, Sao Paulo, Brazil
| | - Sheila Tatsumi Kimura-Medorima
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Ikaro Breder
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Marta Duran Fernandez
- Clarity Healthcare Intelligence, Sao Paulo, Brazil
- School of Electrical and Computer Engineering, Unicamp, Sao Paulo, Brazil
| | - Thiago Quinaglia
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Rodrigo B Oliveira
- Nephrology Division, Clinics Hospital, University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Fernando Chaves
- Department of Ophthalmology, Clinics Hospital, University of Campinas, Sao Paulo, Brazil
| | - Carlos Arieta
- Department of Ophthalmology, Clinics Hospital, University of Campinas, Sao Paulo, Brazil
| | - Gil Guerra-Júnior
- Growth and Body Composition Lab, Center for Investigation in Pediatrics, Faculty of Medical Sciences, University of Campinas, São Paulo, Brazil
| | - Sandra Avila
- School of Electrical and Computer Engineering, Unicamp, Sao Paulo, Brazil
- Institute of Computing, Unicamp, Sao Paulo, Brazil
| | - Wilson Nadruz
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
| | - Luiz Sergio F Carvalho
- Clarity Healthcare Intelligence, Sao Paulo, Brazil
- Laboratory of Data for Quality of Care and Outcomes Research, Institute of Strategic Management in Healthcare, Brasılia, Federal District, Brazil
| | - Andrei C Sposito
- Atherosclerosis and Vascular Biology Laboratory (Atherolab), Cardiology Division, State University of Campinas (Unicamp), Sao Paulo, Brazil
- Cardiology Division, Department of Internal Medicine, State University of Campinas (Unicamp), Sao Paulo, Brazil
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