Obesity is related to left ventricular hypertrophy (LVH). Whether LVH on electrocardiography (ECG-LVH) is a result of increased cardiac electrical activity or due to increased left ventricular mass ...(LVM) remains to be determined. The aims of the present study were to investigate the relation between obesity and ECG-LVH and LVM by magnetic resonance imaging (MRI-LVM) in patients with hypertension and to investigate the relation of insulin resistance (IR) and LVH. Patients with hypertension (n = 421) were evaluated using Sokolow-Lyon voltage, Cornell voltage, and cardiac magnetic resonance imaging. Waist circumference was used as a measure of abdominal obesity. Linear regression analysis revealed an inverse relation (adjusted β = −0.02, 95% confidence interval −0.02 to −0.01) between waist circumference and Sokolow-Lyon voltage, indicating a decrease of 0.02 mV per 1-cm increase in waist circumference. There was a positive relation between waist circumference and MRI-LVM (β = 0.49, 95% confidence interval 0.32 to 0.67). Patients in the highest quartile of LVM had a worse metabolic profile than patients with the Sokolow-Lyon voltage criterion. The relations of IR with ECG-LVH and MRI-LVM were similar to those of waist circumference in relation to ECG-LVH and MRI-LVM. In conclusion, there is an inverse relation between waist circumference and ECG-LVH and a positive relation between waist circumference and MRI-LVM. This study indicates that obesity has a different relation to voltage criteria for LVH compared to anatomic criteria for LVH, supporting the hypothesis that IR decreases electrocardiographic voltages, despite an increase in MRI-LVM. The clinical implication is that especially in patients with IR, Sokolow-Lyon voltage is low in contrast to high MRI-LVM.
Fat surrounding coronary arteries might aggravate coronary artery disease (CAD). We investigated the relation between epicardial adipose tissue (EAT) and pericoronary fat and coronary atherosclerosis ...and coronary artery calcium (CAC) in patients with suspected CAD and whether this relation is modified by total body weight. This was a cross-sectional study of 128 patients with angina pectoris (61 ± 6 years of age) undergoing coronary angiography. EAT volume and pericoronary fat thickness were measured with cardiac computed tomography. Severity of coronary atherosclerosis was assessed by the number of stenotic (≥50%) coronary vessels; extent of CAC was determined by the Agatston score. Patients were stratified for median total body weight (body mass index BMI 27 kg/m2 ). Overall, EAT and pericoronary fat were not associated with severity of coronary atherosclerosis and extent of CAC. In patients with low BMI, those with multivessel disease had increased EAT volume (100 vs 67 cm3 , p = 0.04) and pericoronary fat thickness (9.8 vs 8.4 mm, p = 0.06) compared with those without CAD. Also, patients with severe CAC had increased EAT volume (108.0 vs 69 cm3 , p = 0.02) and pericoronary fat thickness (10.0 vs 8.2 mm, p value = 0.01) compared with those with minimal/absent CAC. In conclusion, EAT and pericoronary fat were not associated with severity of coronary atherosclerosis and CAC in patients with suspected CAD. However, in those with low BMI, increased EAT and pericoronary fat were related to more severe coronary atherosclerosis and CAC. Fat surrounding coronary arteries may be involved in the process of coronary atherosclerosis, although this is different for patients with low and high BMIs.
Computed tomographic coronary angiography (CTCA) can noninvasively identify calcified and noncalcified coronary plaques. The aim of this study was to compare the phenotypes of all plaques and of ...culprit plaques between patients with unstable angina pectoris (UAP) and those with stable angina pectoris (SAP), because plaque characteristics may differ between these patients. In 110 patients with UAP and 189 with SAP from a multicenter study comparing 64-slice CTCA with conventional coronary angiography, the number and phenotypes (noncalcified, mixed, and calcified) of coronary plaques were compared. In a subanalysis in 50 patients with UAP and 64 with SAP, culprit plaque characteristics, including culprit plaque cross-sectional area relative to total vessel cross-sectional area, culprit plaque length, remodeling index, and spotty calcification, were determined. Odds ratios for the presence of UAP, adjusted for clinical variables and the total number of plaques, were calculated for plaque characteristics on CTCA. Although the number of plaques was similar for patients with UAP and those with SAP, plaques in patients with UAP were more frequently noncalcified than in patients with SAP. The odds ratio for UAP was 1.3 (95% confidence interval CI 1.1 to 1.5) per noncalcified plaque. In the culprit plaque subanalysis, odds ratios for UAP were 0.99 (95% CI 0.96 to 1.01) per millimeter culprit plaque length, 2.7 (95% CI 1.2 to 6.4) for noncalcified culprit plaque, and 1.06 (95% CI 0.99 to 1.13) per percentage relative culprit plaque cross-sectional area. No significant relation was found between remodeling index or spotty calcification and UAP. In conclusion, noncalcified plaques and large noncalcified culprit plaques are more frequently found in patients with UAP than in those with SAP.
It is unclear whether the relationship between common carotid intima-media thickness (cCIMT) and left ventricular mass (LVM) is due to shared risk factors for atherosclerosis or for hypertrophy.
In ...525 hypertensive subjects at high cardiovascular risk, the relation of cCIMT to LVM and established vascular risk factors was studied.
CCIMT was positively related to LVM. In a multivariable model including age, gender, height, weight, and LVM, a 1-g increase in LVM related to an increase in cCIMT of 1.6 microm (95% confidence interval, 0.8-2.4). After adjustment for atherosclerotic risk factors, notably previous stroke or transient ischemic attack, peripheral arterial disease, lipid-lowering medication, albuminuria and current smoking, the relation remained unchanged. In contrast, addition of systolic and diastolic blood pressure and hypertension treatment attenuated Beta for the relation between cCIMT and LVM with 19% to 1.3 microm (95% confidence interval, 0.2-2.2).
The relationship between cCIMT and LVM may be due to risk factors for hypertrophy rather than for atherosclerotic factors in a considerable proportion of patients.
Objectives This study sought to determine the diagnostic accuracy of 64-slice computed tomographic coronary angiography (CTCA) to detect or rule out significant coronary artery disease (CAD). ...Background CTCA is emerging as a noninvasive technique to detect coronary atherosclerosis. Methods We conducted a prospective, multicenter, multivendor study involving 360 symptomatic patients with acute and stable anginal syndromes who were between 50 and 70 years of age and were referred for diagnostic conventional coronary angiography (CCA) from September 2004 through June 2006. All patients underwent a nonenhanced calcium scan and a CTCA, which was compared with CCA. No patients or segments were excluded because of impaired image quality attributable to either coronary motion or calcifications. Patient-, vessel-, and segment-based sensitivities and specificities were calculated to detect or rule out significant CAD, defined as ≥50% lumen diameter reduction. Results The prevalence among patients of having at least 1 significant stenosis was 68%. In a patient-based analysis, the sensitivity for detecting patients with significant CAD was 99% (95% confidence interval CI: 98% to 100%), specificity was 64% (95% CI: 55% to 73%), positive predictive value was 86% (95% CI: 82% to 90%), and negative predictive value was 97% (95% CI: 94% to 100%). In a segment-based analysis, the sensitivity was 88% (95% CI: 85% to 91%), specificity was 90% (95% CI: 89% to 92%), positive predictive value was 47% (95% CI: 44% to 51%), and negative predictive value was 99% (95% CI: 98% to 99%). Conclusions Among patients in whom a decision had already been made to obtain CCA, 64-slice CTCA was reliable for ruling out significant CAD in patients with stable and unstable anginal syndromes. A positive 64-slice CTCA scan often overestimates the severity of atherosclerotic obstructions and requires further testing to guide patient management.
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