Literature DB >> 21195376

Usefulness of at rest and exercise hemodynamics to detect subclinical myocardial disease in type 2 diabetes mellitus.

Christine L Jellis1, Tony Stanton, Rodel Leano, Jennifer Martin, Thomas H Marwick.   

Abstract

Patients with type 2 diabetes mellitus (T2DM) might have subclinical myocardial dysfunction identified at rest or unmasked during exercise. We examined the correlates of the myocardial exercise response in patients with T2DM. Myocardial dysfunction was sought during at rest and exercise echocardiography in 167 healthy patients with T2DM (97 men, 55 ± 10 years). Myocardial ischemia was excluded using stress echocardiography. Standard echocardiography and color tissue Doppler imaging measures (early diastolic tissue velocity [Em], strain, and strain rate) were acquired at baseline and peak stress. The calibrated integrated backscatter was calculated from the at rest parasternal long-axis view. The longitudinal diastolic functional reserve index after exercise was defined as ΔEm [1 - (1/Em(base))]. The clinical, anthropometric, and metabolic data were collected at rest and stress. Subclinical myocardial dysfunction at baseline (n = 24) was independently associated with weight (odds ratio [OR] 1.02, p = 0.04) and hemoglobin A1c (OR 1.36, p = 0.03). This group displayed an impaired exercise response that was independently associated with a reduced exercise capacity (OR 0.84, p = 0.034) and longitudinal diastolic functional reserve index (OR 0.69, p = 0.001). Inducible myocardial dysfunction (stress Em <-9.9 cm/s) was identified after exercise in 70 of the remaining 143 subjects. This finding was associated with calibrated integrated backscatter (OR 1.08, p = 0.04) and lower peak heart rate (OR 0.97, p = 0.002) but not metabolic control. The intensity of the metabolic derangement in patients with T2DM was associated with subclinical at rest myocardial dysfunction, but not with the myocardial exercise response. In conclusion, the association of an abnormal stress response with nonmetabolic factors, including backscatter and blunted peak heart rate, suggests potential roles for myocardial fibrosis and cardiac autonomic neuropathy in patients with nonischemic diabetic heart disease.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21195376     DOI: 10.1016/j.amjcard.2010.10.024

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  13 in total

Review 1.  Chronotropic Incompetence During Exercise in Type 2 Diabetes: Aetiology, Assessment Methodology, Prognostic Impact and Therapy.

Authors:  Charly Keytsman; Paul Dendale; Dominique Hansen
Journal:  Sports Med       Date:  2015-07       Impact factor: 11.136

2.  Dissipative energy loss within the left ventricle detected by vector flow mapping in diabetic patients with controlled and uncontrolled blood glucose levels.

Authors:  Chun-Mei Li; Wen-Juan Bai; Yan-Ting Liu; Hong Tang; Li Rao
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-15       Impact factor: 2.357

Review 3.  Diabetic cardiomyopathy: pathophysiology and clinical features.

Authors:  Takayuki Miki; Satoshi Yuda; Hidemichi Kouzu; Tetsuji Miura
Journal:  Heart Fail Rev       Date:  2013-03       Impact factor: 4.214

4.  Asymptomatic left ventricular dysfunction with long-term clozapine treatment for schizophrenia: a multicentre cross-sectional cohort study.

Authors:  V Chow; T Yeoh; A C C Ng; T Pasqualon; E Scott; J Plater; B Whitwell; D Hanzek; T Chung; L Thomas; D S Celermajer; L Kritharides
Journal:  Open Heart       Date:  2014-02-26

5.  Left ventricular diastolic reserve in patients with type 2 diabetes mellitus.

Authors:  Melissa Leung; Victoria Phan; Melinda Whatmough; Stephane Heritier; Vincent W Wong; Dominic Y Leung
Journal:  Open Heart       Date:  2015-04-08

6.  New concept of myocardial longitudinal strain reserve assessed by a dipyridamole infusion using 2D-strain echocardiography: the impact of diabetes and age, and the prognostic value.

Authors:  Thomas Cognet; Paul-Louis Vervueren; Laurent Dercle; Delphine Bastié; Rainui Richaud; Matthieu Berry; Pauline Marchal; Matthieu Gautier; Audrey Fouilloux; Michel Galinier; Didier Carrié; Pierre Massabuau; Isabelle Berry; Olivier Lairez
Journal:  Cardiovasc Diabetol       Date:  2013-06-07       Impact factor: 9.951

7.  Influence of visceral adiposity on cardiovascular autonomic neuropathy in patients with type 2 diabetes mellitus.

Authors:  Eun-Hee Jang; Na-Young Kim; Yong-Moon Park; Mee-Kyoung Kim; Ki Hyun Baek; Ki-Ho Song; Kwang Woo Lee; Hyuk-Sang Kwon
Journal:  Diabetes Metab J       Date:  2012-08-20       Impact factor: 5.376

8.  Altered myocardial response in patients with diabetic retinopathy: an exercise echocardiography study.

Authors:  Zhe Zhen; Yan Chen; Kendrick Shih; Ju-Hua Liu; Michele Yuen; David Sai-Hung Wong; Karen Siu-Ling Lam; Hung-Fat Tse; Kai-Hang Yiu
Journal:  Cardiovasc Diabetol       Date:  2015-09-18       Impact factor: 9.951

Review 9.  Diabetic Cardiomyopathy; Summary of 41 Years.

Authors:  Samet Yilmaz; Ugur Canpolat; Sinan Aydogdu; Hanna Emily Abboud
Journal:  Korean Circ J       Date:  2015-07-16       Impact factor: 3.243

10.  Calibrated integrated backscatter and myocardial fibrosis in patients undergoing cardiac surgery.

Authors:  David L Prior; Jithendra B Somaratne; Alicia J Jenkins; Michael Yii; Andrew E Newcomb; Casper G Schalkwijk; Mary J Black; Darren J Kelly; Duncan J Campbell
Journal:  Open Heart       Date:  2015-08-25
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