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dc.contributor.authorMunzel, Thomas
dc.contributor.authorHahad, Omar
dc.contributor.authorGori, Tommaso
dc.contributor.authorHollmann, Sebastian
dc.contributor.authorArnold, Natalie
dc.contributor.authorProchaska, Jurgen H.
dc.contributor.authorSchulz, Andreas
dc.contributor.authorBeutel, Manfred
dc.contributor.authorPfeiffer, Norbert
dc.contributor.authorSchmidtmann, Irene
dc.contributor.authorLackner, Karl J.
dc.contributor.authorKeaney, John F. Jr.
dc.contributor.authorWild, Philipp S.
dc.date2022-08-11T08:09:55.000
dc.date.accessioned2022-08-23T16:48:35Z
dc.date.available2022-08-23T16:48:35Z
dc.date.issued2019-12-01
dc.date.submitted2020-01-13
dc.identifier.citation<p>Clin Res Cardiol. 2019 Dec;108(12):1313-1323. doi: 10.1007/s00392-019-01466-2. Epub 2019 Apr 5. <a href="https://doi.org/10.1007/s00392-019-01466-2">Link to article on publisher's site</a></p>
dc.identifier.issn1861-0684 (Linking)
dc.identifier.doi10.1007/s00392-019-01466-2
dc.identifier.pmid30953178
dc.identifier.urihttp://hdl.handle.net/20.500.14038/41302
dc.description.abstractBACKGROUND: Higher, but also lower resting heart rate (HR), has been associated with increased cardiovascular events and mortality. Little is known about the interplay between HR, cardiovascular risk factors, concomitant diseases, vascular (endothelial) function, neurohormonal biomarkers, and all-cause mortality in the general population. Thus, we aimed to investigate these relationships in a population-based cohort. METHODS: 15,010 individuals (aged 35-74 at enrolment in 2007-2012) from the Gutenberg Health Study were analyzed. Multivariable regression modeling was used to assess the relation between the variables and conditional density plots were generated for cardiovascular risk factors, diseases, and mortality to show their dependence on HR. RESULTS: There were 714 deaths in the total sample at 7.67 +/- 1.68 years of follow-up. The prevalence of diabetes mellitus, arterial hypertension, coronary and peripheral artery disease, chronic heart failure, and previous myocardial infarction exhibited a J-shaped association with HR. Mortality showed a similar relation with a nadir of 64 beats per minute (bpm) in the total sample. Each 10 bpm HR reduction in HR < 64 subjects was independently associated with increased mortality (Hazard Ratio 1.36; 95% confidence interval 1.06-1.75). This increased risk was also present in HR > 64 subjects (Hazard Ratio 1.29; 95% confidence interval 1.19-1.41 per 10 bpm increase in HR). Results found for vascular and neurohormonal biomarkers exhibited a differential picture in subjects with a HR below and above the nadir. DISCUSSION: These results indicate that in addition to a higher HR, a lower HR is associated with increased mortality.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=30953178&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHeart rate
dc.subjectMortality
dc.subjectNeurohumoral biomarkers
dc.subjectPopulation-based
dc.subjectVascular (endothelial) function
dc.subjectCardiology
dc.subjectCardiovascular Diseases
dc.subjectClinical Epidemiology
dc.subjectEpidemiology
dc.titleHeart rate, mortality, and the relation with clinical and subclinical cardiovascular diseases: results from the Gutenberg Health Study
dc.typeJournal Article
dc.source.journaltitleClinical research in cardiology : official journal of the German Cardiac Society
dc.source.volume108
dc.source.issue12
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=5107&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/4088
dc.identifier.contextkey16192385
refterms.dateFOA2022-08-23T16:48:35Z
html.description.abstract<p>BACKGROUND: Higher, but also lower resting heart rate (HR), has been associated with increased cardiovascular events and mortality. Little is known about the interplay between HR, cardiovascular risk factors, concomitant diseases, vascular (endothelial) function, neurohormonal biomarkers, and all-cause mortality in the general population. Thus, we aimed to investigate these relationships in a population-based cohort.</p> <p>METHODS: 15,010 individuals (aged 35-74 at enrolment in 2007-2012) from the Gutenberg Health Study were analyzed. Multivariable regression modeling was used to assess the relation between the variables and conditional density plots were generated for cardiovascular risk factors, diseases, and mortality to show their dependence on HR.</p> <p>RESULTS: There were 714 deaths in the total sample at 7.67 +/- 1.68 years of follow-up. The prevalence of diabetes mellitus, arterial hypertension, coronary and peripheral artery disease, chronic heart failure, and previous myocardial infarction exhibited a J-shaped association with HR. Mortality showed a similar relation with a nadir of 64 beats per minute (bpm) in the total sample. Each 10 bpm HR reduction in HR < 64 subjects was independently associated with increased mortality (Hazard Ratio 1.36; 95% confidence interval 1.06-1.75). This increased risk was also present in HR > 64 subjects (Hazard Ratio 1.29; 95% confidence interval 1.19-1.41 per 10 bpm increase in HR). Results found for vascular and neurohormonal biomarkers exhibited a differential picture in subjects with a HR below and above the nadir.</p> <p>DISCUSSION: These results indicate that in addition to a higher HR, a lower HR is associated with increased mortality.</p>
dc.identifier.submissionpathoapubs/4088
dc.contributor.departmentDepartment of Medicine, Division of Cardiovascular Medicine
dc.source.pages1313-1323


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© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.