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      Heart Rate Variability as a Marker of Myocardial Perfusion

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          Abstract

          RR variability (HRV), an independent predictor of death following myocardial infarction, may also be related to other features of coronary artery disease. We evaluated its ability to differentiate among sedentary patients with chest pain ≥45 years of age demonstrating either normal or abnormal myocardial perfusion with rest and exercise thallium-210 tomographic imaging. The major HRV difference between 48 men and 50 women with normal perfusion was a significantly higher high frequency power in women. No significant differences in mean HRV values were found between the 57 men with abnormal perfusion scans and the 48 men with normal perfusion. In both men and women with normal perfusion scans, duration of exercise was significantly related to age. In men with abnormal scans, impaired myocardial perfusion alters the relationship between exercise duration and age, and a group of individuals with diminished HRV and low levels of physical fitness, regardless of age, can be identified. Despite these latter selective findings, we conclude that HRV is not a sensitive indicator to differentiate patients with normal and abnormal myocardial perfusion.

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          Most cited references2

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          Associations of smoking, alcohol and physical activity with risk factors for coronary heart disease and diabetes in the first follow-up cohort of the Heart Disease and Diabetes Risk Indicators in a Screened Cohort study (HDDRISC-1).

          To investigate the associations between risk factors for cardiovascular disease and cigarette smoking, alcohol intake, and physical activity in a group of predominantly healthy men. Cohort study with baseline characterisation, clinical follow-up, and identification of predictors of coronary artery disease and diabetes. University hospital metabolic day ward. Participants in a company health programme (n=742). Routine haematology and biochemistry, cholesterol, triglycerides, high density lipoprotein (HDL) cholesterol (on a subset of 522 subjects), and glucose and insulin levels during a 3 h oral glucose tolerance test (OGTT). Independent associations with previous cigarette smoking included high uric acid and low HDL cholesterol, and with current cigarette smoking, high haemoglobin and white cell count and low OGTT insulin. Increasing alcohol intake was associated with increasing blood pressure, uric acid, HDL cholesterol and fasting glucose. The moderate range of exercise intensity in this cohort was associated with decreasing systolic blood pressure, fasting insulin and OGTT glucose and insulin. Factor analysis distinguished principal factors comprising features of the metabolic syndrome with low physical activity, and high white cell count, high haemoglobin concentration and low HDL cholesterol with increasing previous and current cigarette smoking and alcohol intake. Some characteristics of the metabolic syndrome were seen with previous but not current smoking habit. Regular alcohol consumption was associated with mainly unfavourable metabolic characteristics, although there was an independent beneficial association with HDL cholesterol. The improved metabolic syndrome profile seen with increasing exercise is consistent with even moderate degrees of physical activity having beneficial effects on metabolism.
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            Computer processing of artifact and arrhythmias in heart rate variability analysis

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              Author and article information

              Journal
              CRD
              Cardiology
              10.1159/issn.0008-6312
              Cardiology
              S. Karger AG
              0008-6312
              1421-9751
              1998
              March 1999
              22 March 1999
              : 90
              : 4
              : 239-243
              Affiliations
              Departments of a Medical Biophysics and Nuclear Medicine, b Cardiology, Hadassah University Hospital, Jerusalem, Israel
              Article
              6851 Cardiology 1998;90:239–243
              10.1159/000006851
              10085482
              5cc9e525-9d76-41c3-a2a5-3ca108328b57
              © 1998 S. Karger AG, Basel

              Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

              History
              Page count
              Figures: 2, Tables: 2, References: 11, Pages: 5
              Categories
              General Cardiology

              General medicine,Neurology,Cardiovascular Medicine,Internal medicine,Nephrology
              Perfusion scanning,Ischemic heart disease,Exercise,Heart rate variability,Stress testing

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