Cargando…
Determinants of the heart rate variability in type 1 diabetes mellitus
BACKGROUND: Evaluation of heart rate variability (HRV) detects the early subclinical alterations of the autonomic nervous system. Thus, impaired HRV is the earliest subclinical marker of cardiac autonomic neuropathy (CAN) in type 1 diabetes mellitus (T1DM). OBJECTIVES: We aimed to explore the HRV pa...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579906/ https://www.ncbi.nlm.nih.gov/pubmed/37854193 http://dx.doi.org/10.3389/fendo.2023.1247054 |
_version_ | 1785121832212365312 |
---|---|
author | Hajdu, Máté Garmpis, Konstandia Vértes, Vivien Vorobcsuk-Varga, Noémi Molnár, Gergő Attila Hejjel, László Wittmann, István Faludi, Réka |
author_facet | Hajdu, Máté Garmpis, Konstandia Vértes, Vivien Vorobcsuk-Varga, Noémi Molnár, Gergő Attila Hejjel, László Wittmann, István Faludi, Réka |
author_sort | Hajdu, Máté |
collection | PubMed |
description | BACKGROUND: Evaluation of heart rate variability (HRV) detects the early subclinical alterations of the autonomic nervous system. Thus, impaired HRV is the earliest subclinical marker of cardiac autonomic neuropathy (CAN) in type 1 diabetes mellitus (T1DM). OBJECTIVES: We aimed to explore the HRV parameters in asymptomatic T1DM patients and compare them with the results obtained in healthy subjects. Potential associations between HRV parameters and the established risk factors for CAN and cardiovascular diseases were also investigated. METHODS: Seventy T1DM patients (38 ± 12 years, 46 females) and 30 healthy subjects were enrolled into the study. For HRV analysis, beat-to-beat heart rate was recorded for 30 min. The less noisy 5-min segment of the recording was analyzed by Bittium Cardiac Navigator HRV analysis software. Time domain, frequency domain, and nonlinear indices were calculated. RESULTS: Regarding ratio of low to high frequency component (LF/HF), no differences were found between the two populations (p = 0.227). All the further, time domain, frequency domain, and nonlinear HRV indices were significantly lower in T1DM patients (each p < 0.001). In multiple linear models, disease duration remained the only independent predictor of LF/HF ratio (p = 0.019). HbA(1c) was found to be significant independent predictor of all further time domain (SDNN, p < 0.001; rMSSD, p < 0.001), frequency domain (VLF, p < 0.001; LF, p = 0.002; HF, p = 0.006; Total Power, p = 0.002), and nonlinear indices (SD1, p = 0.006; SD2, p = 0.007), alone, or in combination with other factors, such as age or body mass index. CONCLUSION: Asymptomatic T1DM patients have significantly reduced overall HRV as compared with healthy subjects, indicating subclinical CAN. Quality of the glycemic control is important determinant of HRV among T1DM patients. This relationship is independent of other risk factors for CAN or cardiovascular diseases. |
format | Online Article Text |
id | pubmed-10579906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105799062023-10-18 Determinants of the heart rate variability in type 1 diabetes mellitus Hajdu, Máté Garmpis, Konstandia Vértes, Vivien Vorobcsuk-Varga, Noémi Molnár, Gergő Attila Hejjel, László Wittmann, István Faludi, Réka Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Evaluation of heart rate variability (HRV) detects the early subclinical alterations of the autonomic nervous system. Thus, impaired HRV is the earliest subclinical marker of cardiac autonomic neuropathy (CAN) in type 1 diabetes mellitus (T1DM). OBJECTIVES: We aimed to explore the HRV parameters in asymptomatic T1DM patients and compare them with the results obtained in healthy subjects. Potential associations between HRV parameters and the established risk factors for CAN and cardiovascular diseases were also investigated. METHODS: Seventy T1DM patients (38 ± 12 years, 46 females) and 30 healthy subjects were enrolled into the study. For HRV analysis, beat-to-beat heart rate was recorded for 30 min. The less noisy 5-min segment of the recording was analyzed by Bittium Cardiac Navigator HRV analysis software. Time domain, frequency domain, and nonlinear indices were calculated. RESULTS: Regarding ratio of low to high frequency component (LF/HF), no differences were found between the two populations (p = 0.227). All the further, time domain, frequency domain, and nonlinear HRV indices were significantly lower in T1DM patients (each p < 0.001). In multiple linear models, disease duration remained the only independent predictor of LF/HF ratio (p = 0.019). HbA(1c) was found to be significant independent predictor of all further time domain (SDNN, p < 0.001; rMSSD, p < 0.001), frequency domain (VLF, p < 0.001; LF, p = 0.002; HF, p = 0.006; Total Power, p = 0.002), and nonlinear indices (SD1, p = 0.006; SD2, p = 0.007), alone, or in combination with other factors, such as age or body mass index. CONCLUSION: Asymptomatic T1DM patients have significantly reduced overall HRV as compared with healthy subjects, indicating subclinical CAN. Quality of the glycemic control is important determinant of HRV among T1DM patients. This relationship is independent of other risk factors for CAN or cardiovascular diseases. Frontiers Media S.A. 2023-10-03 /pmc/articles/PMC10579906/ /pubmed/37854193 http://dx.doi.org/10.3389/fendo.2023.1247054 Text en Copyright © 2023 Hajdu, Garmpis, Vértes, Vorobcsuk-Varga, Molnár, Hejjel, Wittmann and Faludi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Hajdu, Máté Garmpis, Konstandia Vértes, Vivien Vorobcsuk-Varga, Noémi Molnár, Gergő Attila Hejjel, László Wittmann, István Faludi, Réka Determinants of the heart rate variability in type 1 diabetes mellitus |
title | Determinants of the heart rate variability in type 1 diabetes mellitus |
title_full | Determinants of the heart rate variability in type 1 diabetes mellitus |
title_fullStr | Determinants of the heart rate variability in type 1 diabetes mellitus |
title_full_unstemmed | Determinants of the heart rate variability in type 1 diabetes mellitus |
title_short | Determinants of the heart rate variability in type 1 diabetes mellitus |
title_sort | determinants of the heart rate variability in type 1 diabetes mellitus |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579906/ https://www.ncbi.nlm.nih.gov/pubmed/37854193 http://dx.doi.org/10.3389/fendo.2023.1247054 |
work_keys_str_mv | AT hajdumate determinantsoftheheartratevariabilityintype1diabetesmellitus AT garmpiskonstandia determinantsoftheheartratevariabilityintype1diabetesmellitus AT vertesvivien determinantsoftheheartratevariabilityintype1diabetesmellitus AT vorobcsukvarganoemi determinantsoftheheartratevariabilityintype1diabetesmellitus AT molnargergoattila determinantsoftheheartratevariabilityintype1diabetesmellitus AT hejjellaszlo determinantsoftheheartratevariabilityintype1diabetesmellitus AT wittmannistvan determinantsoftheheartratevariabilityintype1diabetesmellitus AT faludireka determinantsoftheheartratevariabilityintype1diabetesmellitus |