Assessment of cardiac autonomic function in patients with Duchenne muscular dystrophy using short term heart rate variability measures

Dhargave, Pradnya; Nalini, Atchayaram; Ashok, Abhishekh Hulegar; Adoor, Meghana; Nagarathna, Raghuram; Raju, T.R.; Sathyaprabha, T.N.

doi:10.1016/j.ejpn.2013.12.009

Cited by 24 publications

(36 citation statements)

References 26 publications

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“…Our results are supported by Dhargave et al [33], who evaluated 124 patients with DMD and compared them with 50 age matched individuals in the supine position, and attained a reduction in autonomic regulation in the DMD group, with decreased PNS modulation and increased sympathetic predominance.…”

Section: Discussionsupporting

confidence: 88%

Autonomic Modulation in Duchenne Muscular Dystrophy during a Computer Task: A Prospective Control Trial

et al. 2017

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IntroductionDuchenne Muscular Dystrophy (DMD) is characterized by progressive muscle weakness that can lead to disability. Owing to functional difficulties faced by individuals with DMD, the use of assistive technology is essential to provide or facilitate functional abilities. In DMD, cardiac autonomic dysfunction has been reported in addition to musculoskeletal impairment. Consequently, the objective was to investigate acute cardiac autonomic responses, by Heart Rate Variability (HRV), during computer tasks in subjects with DMD.MethodHRV was assessed by linear and nonlinear methods, using the heart rate monitor Polar RS800CX chest strap Electrocardiographic measuring device. Then, 45 subjects were included in the group with DMD and 45 in the healthy Typical Development (TD) control group. They were assessed for twenty minutes at rest sitting, and five minutes after undergoing a task on the computer.ResultsIndividuals with DMD had a statistically significant lower parasympathetic cardiac modulation at rest when compared to the control group, which further declined when undergoing the tasks on the computer.ConclusionDMD patients presented decreased HRV and exhibited greater intensity of cardiac autonomic responses during computer tasks characterized by vagal withdrawal when compared to the healthy TD control subjects.

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Section: Discussionsupporting

confidence: 88%

Autonomic Modulation in Duchenne Muscular Dystrophy during a Computer Task: A Prospective Control Trial

et al. 2017

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“…The study cohort comprised 39 male patients with a mean age of 13.4 [6,20] years. In 28 patients DMD was diagnosed by genetic mutational analysis.…”

Section: Clinical Baseline Characteristics Of Dmd Patientsmentioning

confidence: 99%

“…Recognition of early and subtle changes in the structure and function of DMD hearts is a prerequisite for timely symptomatic interventions as well as the assessment of future targeted treatment approaches. Former pure TTE-based studies suggested primary progressive LV dilation in DMD [3,[5][6][7]14]. In contrast, novel data derived from tissue Doppler imaging (TDI) and MRI with Late Gadolinium enhancement (LE) concluded that regional abnormal cardiac function precedes global LV dysfunction and the full picture of CMP [2,18,19].…”

Section: Introduction ▼mentioning

confidence: 99%

Cardiomyopathy in Duchenne Muscular Dystrophy: Current Value of Clinical, Electrophysiological and Imaging Findings in Children and Teenagers

et al. 2015

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“…In general, the number of test subjects does not exceed 200 and rarely reaches 500–600 34,35 ; only in some cases, this number ranges from 1,000 to 2,000 . Under such circumstances, researchers acknowledge the need to conduct follow‐up studies to specify the regularities they discovered in regards to the prognostic value of heart rate variability on a considerably larger experimental sample …”

Section: Introductionmentioning

confidence: 99%

“…11,38,45 Under such circumstances, researchers acknowledge the need to conduct follow-up studies to specify the regularities they discovered in regards to the prognostic value of heart rate variability on a considerably larger experimental sample. 3,14,52 Thus, the existence of a correlation between heart rate variability parameters as indicators of the functional state of the cardiovascu-…”

Section: Introductionmentioning

confidence: 99%

Predictors of aging based on the analysis of heart rate variability

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Naishtetik

Khimion

et al. 2017

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The use of neural network computations and the modification of the algorithm through the construction of individual training samples for different age intervals, and the creation of individual ensembles of classification neural networks, therefore achieved a prediction of the age of examined persons based on the values of their time and frequency domain heart rate variability indices, with 87% accuracy for women and 85% accuracy for men in the 66-85 years age interval and at least 85% for age groups across the entire sample.

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Assessment of cardiac autonomic function in patients with Duchenne muscular dystrophy using short term heart rate variability measures

Cited by 24 publications

References 26 publications

Autonomic Modulation in Duchenne Muscular Dystrophy during a Computer Task: A Prospective Control Trial

Autonomic Modulation in Duchenne Muscular Dystrophy during a Computer Task: A Prospective Control Trial

Cardiomyopathy in Duchenne Muscular Dystrophy: Current Value of Clinical, Electrophysiological and Imaging Findings in Children and Teenagers

Predictors of aging based on the analysis of heart rate variability

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