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Erschienen in: Clinical Autonomic Research 2/2022

19.02.2022 | Letter to the Editor

Elevated muscle sympathetic activity in former smokers with heart failure

verfasst von: Anthony V. Incognito, Hisayoshi Murai, Takuto Hamaoka, Hiroyuki Sugimoto, Philip J. Millar, Masayuki Takamura

Erschienen in: Clinical Autonomic Research | Ausgabe 2/2022

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Excerpt

Heart failure (HF) increases resting muscle sympathetic nerve activity (MSNA) in those with preserved and, to a greater extent, in those with reduced left ventricular function (heart failure with reduced ejection fraction [HFrEF]) [ 1] and predicts mortality in patients with HFrEF [ 2]. MSNA is also associated with disease severity and mortality in other cardiovascular disease states [ 3], suggesting a potential link to critical pathophysiological mechanisms. Smoking is a modifiable risk factor for HF [ 4] and increases MSNA in hypertension [ 5]. However, data regarding the effects of former smoking on MSNA are poorly described [ 6]. Recently, patients with coronary artery disease (a patient cohort known to have increased resting MSNA following myocardial infarction or unstable angina [ 7]) that were former smokers were shown to have greater risk of death compared to non-smoking patients 9 years after smoking cessation [ 8]. Whether there is a neural mechanism underlying the sustained carryover effects of former smoking in cardiovascular disease states is unknown. We therefore assessed whether former smokers with HF have elevated resting MSNA. …
Literatur
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Zurück zum Zitat J Cohen 2013 Statistical power analysis for the behavioral sciences 2 Routledge New York CrossRef J Cohen 2013 Statistical power analysis for the behavioral sciences 2 Routledge New York CrossRef
Metadaten
Titel
Elevated muscle sympathetic activity in former smokers with heart failure
verfasst von
Anthony V. Incognito
Hisayoshi Murai
Takuto Hamaoka
Hiroyuki Sugimoto
Philip J. Millar
Masayuki Takamura
Publikationsdatum
19.02.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Autonomic Research / Ausgabe 2/2022
Print ISSN: 0959-9851
Elektronische ISSN: 1619-1560
DOI
https://doi.org/10.1007/s10286-022-00857-2

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