Dynamics of heart rate variability analysed through nonlinear and linear dynamics is already impaired in young type 1 diabetic subjects

AbstractBackgroundAutonomic diabetic neuropathy is one of the most common complications of type 1 diabetes mellitus, and studies using heart rate variability to investigate these individuals have shown inconclusive results regarding autonomic nervous system activation.AimsTo investigate the dynamics of heart rate in young subjects with type 1 diabetes mellitus through nonlinear and linear methods of heart rate variability.MethodsWe evaluated 20 subjects with type 1 diabetes mellitus and 23 healthy control subjects. We obtained the following nonlinear indices from the recurrence plot: recurrence rate (REC), determinism (DET), and Shanon entropy (ES), and we analysed indices in the frequency (LF and HF in ms2 and normalised units – nu – and LF/HF ratio) and time domains (SDNN and RMSSD), through analysis of 1000 R–R intervals, captured by a heart rate monitor.ResultsThere were reduced values (p<0.05) for individuals with type 1 diabetes mellitus compared with healthy subjects in the following indices: DET, REC, ES, RMSSD, SDNN, LF (ms2), and HF (ms2). In relation to the recurrence plot, subjects with type 1 diabetes mellitus demonstrated lower recurrence and greater variation in their plot, inter-group and intra-group, respectively.ConclusionYoung subjects with type 1 diabetes mellitus have autonomic nervous system behaviour that tends to randomness compared with healthy young subjects. Moreover, this behaviour is related to reduced sympathetic and parasympathetic activity of the autonomic nervous system.

Download Full-text

Heart rate variability in children with type 1 diabetes mellitus

Revista Paulista de Pediatria ◽

10.1590/0103-0582201432215513 ◽

2014 ◽

Vol 32 (2) ◽

pp. 279-285 ◽

Cited By ~ 4

Author(s):

Camila Balsamo Gardim ◽

Bruno Affonso P. de Oliveira ◽

Aline Fernanda B. Bernardo ◽

Rayana Loch Gomes ◽

Francis Lopes Pacagnelli ◽

...

Keyword(s):

Diabetes Mellitus ◽

Heart Rate ◽

Heart Rate Variability ◽

Type 1 Diabetes ◽

Nervous System ◽

Type 1 Diabetes Mellitus ◽

Parasympathetic Nervous System ◽

Vagal Activity ◽

Mesh Terms

OBJECTIVE:To gather current information about the effects of type 1 diabetes mellitus on children's cardiac autonomic behavior.DATA SOURCES: The search of articles was conducted on PubMed, Ibecs, Medline, Cochrane, Lilacs, SciELO and PEDro databases using the MeSH terms: "autonomic nervous system", "diabetes mellitus", "child", "type 1 diabetes mellitus", "sympathetic nervous system" and "parasympathetic nervous system", and their respective versions in Portuguese (DeCS). Articles published from January 2003 to February 2013 that enrolled children with 9-12 years old with type 1 diabetes mellitus were included in the review.DATA SYNTHESIS: The electronic search resulted in four articles that approached the heart rate variability in children with type 1 diabetes mellitus, showing that, in general, these children present decreased global heart rate variability and vagal activity. The practice of physical activity promoted benefits for these individuals.CONCLUSIONS: Children with type 1 diabetes mellitus present changes on autonomic modulation, indicating the need for early attention to avoid future complications in this group.

Download Full-text

Heart rate variability and circadian variations in type 1 diabetes mellitus

Pediatric Diabetes ◽

10.1111/j.1399-543x.2006.00141.x ◽

2006 ◽

Vol 7 (1) ◽

pp. 45-50 ◽

Cited By ~ 33

Author(s):

Firat Kardelen ◽

Gayaz Akcurin ◽

Halil Ertug ◽

Sema Akcurin ◽

Iffet Bircan

Keyword(s):

Diabetes Mellitus ◽

Heart Rate ◽

Heart Rate Variability ◽

Type 1 Diabetes ◽

Type 1 Diabetes Mellitus ◽

Circadian Variations

Download Full-text

Sensitivity, Specificity and Predictive Value of Heart Rate Variability Indices in Type 1 Diabetes Mellitus

Arquivos Brasileiros de Cardiologia ◽

10.5935/abc.20170024 ◽

2017 ◽

Cited By ~ 3

Author(s):

Anne Kastelianne França da Silva ◽

Diego Giuliano Destro Christofaro ◽

Aline Fernanda Barbosa Bernardo ◽

Franciele Marques Vanderlei ◽

Luiz Carlos Marques Vanderlei

Keyword(s):

Diabetes Mellitus ◽

Heart Rate ◽

Heart Rate Variability ◽

Type 1 Diabetes ◽

Type 1 Diabetes Mellitus ◽

Predictive Value ◽

Sensitivity Specificity

Download Full-text

The Role of the Autonomic Nervous System on Cardiac Rhythm during the Evolution of Diabetes Mellitus Using Heart Rate Variability as a Biomarker

Journal of Diabetes Research ◽

10.1155/2019/5157024 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Alondra Albarado-Ibañez ◽

Rosa Elena Arroyo-Carmona ◽

Rommel Sánchez-Hernández ◽

Geovanni Ramos-Ortiz ◽

Alejandro Frank ◽

...

Keyword(s):

Diabetes Mellitus ◽

Heart Rate ◽

Heart Rate Variability ◽

Nervous System ◽

Autonomic Nervous System ◽

Early Diagnosis ◽

Negative Symptoms ◽

Heart Rhythm ◽

Autonomic Nervous ◽

Cardiovascular Morbidity And Mortality

Heart rate variability (HRV) is highly influenced by the Autonomic Nervous System (ANS). Several illnesses have been associated with changes in the ANS, thus altering the pattern of HRV. However, the variability of the heart rhythm is originated within the Sinus Atrial Node (SAN) which has its own variability. Still, although both oscillators produce HRV, the influence of the SAN on HRV has not yet been exhaustively studied. On the other hand, the complications of diabetes mellitus (DM), for instance, nephropathy, retinopathy, and neuropathy, increase cardiovascular morbidity and mortality. Traditionally, these complications are diagnosed only when the patient is already suffering from the negative symptoms these complications implicate. Consequently, it is of paramount importance to develop new techniques for early diagnosis prior to any deterioration on healthy patients. HRV has been proved to be a valuable, noninvasive clinical evidence for evaluating diseases and even for describing aging and behavior. In this study, several ECGs were recorded and their RR and PP intervals were analyzed to detect the interpotential interval (ii) of the SAN. Additionally, HRV reduction was quantified to identify alterations in the nervous system within the nodal tissue via measuring the SD1/SD2 ratio in a Poincaré plot. With 15 years of DM development, the data showed an age-dependent increase in HRV due to the axon retraction of ANS neurons from its effectors. In addition, these alterations modify the heart rhythm-producing fatal arrhythmias. Therefore, it is possible to avoid the consequences of DM identifying alterations in SAN previous to its symptomatic appearance. This could be used as an early diagnosis indicator.

Download Full-text