AIMS: To compare the carotid intimal-medial thickness in type 2 diabetics with and without coronary artery disease (CAD), and to correlate the intimal-medial thickness (IMT) with known coronary risk factors. METHODS: One hundred and eleven patients of type 2 diabetes were recruited for the study. History and physical examination were recorded. Laboratory investigations included fasting and 2-hour post-prandial blood sugar, blood urea, serum creatinine, lipid profile, glycated haemoglobin, and microalbuminuria. Ultrasonographic scanning of the carotid arteries was performed to measure the carotid IMT. For identification of cases of silent ischaemia, treadmill test (TMT) was performed. RESULTS: The study group was divided into a non-CAD group (n=40), and a CAD group (n=71). The mean carotid IMT of the group as a whole, was 0.840 +/- 0.2 mm. The mean carotid IMT was significantly higher (p<0.0001) in type 2 diabetics with CAD (both overt and silent) than in those without CAD. In diabetics with CAD, the systolic blood pressure, diastolic blood pressure and triglycerides were found to be predictors of high mean carotid IMT. On subgroup analysis of the cases with silent ischaemia, the variables affecting carotid IMT were serum creatinine, total cholesterol, microalbuminuria/proteinuria, serum triglyceride levels, and diastolic blood pressure. CONCLUSION: A high carotid IMT is a surrogate and reliable marker of higher risk of CAD amongst type 2 diabetic patients, even in those without overt CAD. The study underlines the utility of carotid IMT as a simple, non-invasive, safe, and cheap screening test for the assessment of risk/prognosis of CAD in type 2 diabetics. We have also demonstrated the usefulness of measuring IMT, as a means to detect silent CAD among type 2 diabetics.
AIMS: To compare the carotid intimal-medial thickness in type 2 diabetics with and without coronary artery disease (CAD), and to correlate the intimal-medial thickness (IMT) with known coronary risk factors. METHODS: One hundred and eleven patients of type 2 diabetes were recruited for the study. History and physical examination were recorded. Laboratory investigations included fasting and 2-hour post-prandial blood sugar, blood urea, serum creatinine, lipid profile, glycated haemoglobin, and microalbuminuria. Ultrasonographic scanning of the carotid arteries was performed to measure the carotid IMT. For identification of cases of silent ischaemia, treadmill test (TMT) was performed. RESULTS: The study group was divided into a non-CAD group (n=40), and a CAD group (n=71). The mean carotid IMT of the group as a whole, was 0.840 +/- 0.2 mm. The mean carotid IMT was significantly higher (p<0.0001) in type 2 diabetics with CAD (both overt and silent) than in those without CAD. In diabetics with CAD, the systolic blood pressure, diastolic blood pressure and triglycerides were found to be predictors of high mean carotid IMT. On subgroup analysis of the cases with silent ischaemia, the variables affecting carotid IMT were serum creatinine, total cholesterol, microalbuminuria/proteinuria, serum triglyceride levels, and diastolic blood pressure. CONCLUSION: A high carotid IMT is a surrogate and reliable marker of higher risk of CAD amongst type 2 diabeticpatients, even in those without overt CAD. The study underlines the utility of carotid IMT as a simple, non-invasive, safe, and cheap screening test for the assessment of risk/prognosis of CAD in type 2 diabetics. We have also demonstrated the usefulness of measuring IMT, as a means to detect silent CAD among type 2 diabetics.
Authors: Valery S Effoe; Eric E McClendon; Carlos J Rodriguez; Lynne E Wagenknecht; Gregory W Evans; Patricia P Chang; Alain G Bertoni Journal: Diabetes Res Clin Pract Date: 2017-04-13 Impact factor: 5.602
Authors: Nurazam Omar; Marymol Koshy; Mohammad Hanafiah; Sharifah Faradilla Wan Muhammad Hatta; Fatimah Zaherah Mohd Shah; Bushra Johari; Idris Zamhuri; Sazzli Shahlan Kasim; Thuhairah Abdul Rahman; Rohana Abdul Ghani Journal: J Res Med Sci Date: 2020-06-30 Impact factor: 1.852
Authors: Marco Matteo Ciccone; Artor Niccoli-Asabella; Pietro Scicchitano; Michele Gesualdo; Antonio Notaristefano; Domenico Chieppa; Santa Carbonara; Gabriella Ricci; Marco Sassara; Corinna Altini; Giovanni Quistelli; Mario Erminio Lepera; Stefano Favale; Giuseppe Rubini Journal: Vasc Health Risk Manag Date: 2011-03-04