HEART RATE VARIABILITY AND BLOOD PRESSURE IN PARKINSON'S DISEASE PATIENTS UNDER ANALOGUE MICROGRAVITY

2018 ◽  
Vol 25 (3) ◽  
pp. 196-197
Author(s):  
Alexander Meigal ◽  
Liudmila Gerasimova-Meigal
2021 ◽  
Vol 11 (8) ◽  
pp. 959
Author(s):  
Konstantin G. Heimrich ◽  
Thomas Lehmann ◽  
Peter Schlattmann ◽  
Tino Prell

Recent evidence suggests that the vagus nerve and autonomic dysfunction play an important role in the pathogenesis of Parkinson’s disease. Using heart rate variability analysis, the autonomic modulation of cardiac activity can be investigated. This meta-analysis aims to assess if analysis of heart rate variability may indicate decreased parasympathetic tone in patients with Parkinson’s disease. The MEDLINE, EMBASE and Cochrane Central databases were searched on 31 December 2020. Studies were included if they: (1) were published in English, (2) analyzed idiopathic Parkinson’s disease and healthy adult controls, and (3) reported at least one frequency- or time-domain heart rate variability analysis parameter, which represents parasympathetic regulation. We included 47 studies with 2772 subjects. Random-effects meta-analyses revealed significantly decreased effect sizes in Parkinson patients for the high-frequency spectral component (HFms2) and the short-term measurement of the root mean square of successive normal-to-normal interval differences (RMSSD). However, heterogeneity was high, and there was evidence for publication bias regarding HFms2. There is some evidence that a more advanced disease leads to an impaired parasympathetic regulation. In conclusion, short-term measurement of RMSSD is a reliable parameter to assess parasympathetically impaired cardiac modulation in Parkinson patients. The measurement should be performed with a predefined respiratory rate.


Author(s):  
Hélcio Kanegusuku ◽  
Gabriel Grizzo Cucato ◽  
Paulo Longano ◽  
Erika Okamoto ◽  
Maria Elisa Pimentel Piemonte ◽  
...  

AbstractParkinson’s disease patients frequently present cardiovascular dysfunction. Exercise with a self-selected intensity has emerged as a new strategy for exercise prescription aiming to increase exercise adherence. Thus, the current study evaluated the acute cardiovascular responses after a session of aerobic exercise at a traditional intensity and at a self-selected intensity in Parkinson’s disease patients. Twenty patients (≥ 50 years old, Hoehn & Yahr 1–3 stages) performed 3 experimental sessions in random order: Traditional session (cycle ergometer, 25 min, 50 rpm, 60–80% maximum heart rate); Self-selected intensity: (cycle ergometer, 25 min, 50 rpm with self-selected intensity); and Control session (resting for 25 min). Before and after 30 min of intervention, brachial and central blood pressure (auscultatory method and pulse wave analysis, respectively), cardiac autonomic modulation (heart rate variability), and arterial stiffness (pulse wave analysis) were evaluated. Brachial and central systolic and diastolic blood pressure, heart rate, and the augmentation index increased after the control session, whereas no changes were observed after the exercise sessions (P<0.01). Pulse wave velocity and cardiac autonomic modulation parameters did not change after the three interventions. In conclusion, a single session of traditional intensity or self-selected intensity exercises similarly blunted the increase in brachial and central blood pressure and the augmentation index compared to a non-exercise control session in Parkinson’s disease patients.


2002 ◽  
Vol 249 (11) ◽  
pp. 1535-1540 ◽  
Author(s):  
Ville Pursiainen ◽  
Tarja H. Haapaniemi ◽  
Juha T. Korpelainen ◽  
Heikki V. Huikuri ◽  
Kyösti A. Sotaniemi ◽  
...  

2010 ◽  
Vol 158 (1-2) ◽  
pp. 133 ◽  
Author(s):  
Toshihide Harada ◽  
Fumiko Ishizaki ◽  
Maki Hamada ◽  
Nobuko Horie ◽  
Yumiko Nitta ◽  
...  

2007 ◽  
Vol 135 (1-2) ◽  
pp. 81
Author(s):  
Toshihide Harada ◽  
Fumiko Ishizaki ◽  
Maki Hamada ◽  
Nobuko Horie ◽  
Tohru Yamada ◽  
...  

2017 ◽  
Vol 32 (4) ◽  
pp. 610-614 ◽  
Author(s):  
Naomi P. Visanji ◽  
Grace S. Bhudhikanok ◽  
Tiago A. Mestre ◽  
Taneera Ghate ◽  
Kaviraj Udupa ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document