Aim Cardiac autonomic dysfunction is encountered in approximately 25 % of patients with metabolic syndrome (MetS). 24 hr Holter-ECG based heart rate variability (HRV) and heart rate turbulence (HRT) parameters are used to evaluate cardiac autonomic function. We aimed to investigate the relationship between a novel insulin resistance marker, triglyceride glucose (TyG) index and cardiac autonomic dysfunction in patients with MetS.Material and methods We examined a total of 400 non-diabetic subjects, 136 with MetS and 264 without MetS. All underwent TyG index calculations, and 24 hr Holter-ECG recordings for the measurement of HRV and HRT parameters.Results HRV and HRT parameters were lower or higher in patients with MetS than in subjects without MetS, indicating cardiac autonomic dysfunction. We observed significant correlations between TyG index and measures of cardiac autonomic function. Multiple linear regression analysis showed that the TyG index was an independent predictor of almost all HRV and HRT parameters.Conclusion This study demonstrates the independent relationship between cardiac autonomic dysfunction and the TyG index, a novel marker of insulin resistance in non-diabetic patients with MetS.
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http://dx.doi.org/10.18087/cardio.2022.6.n2049 | DOI Listing |
Cureus
December 2024
Internal Medicine, Kempegowda Institute of Medical Sciences, Bangalore, IND.
Sepsis-induced cardiomyopathy (SICM) is a life-threatening complication of sepsis characterized by myocardial dysfunction. SICM significantly increases mortality rates in sepsis. Despite its clinical relevance, SICM lacks a unified definition and standardized diagnostic criteria, complicating early identification and treatment.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
January 2025
Neurovascular Research Laboratory, School of Kinesiology, Western University, London, Ontario, Canada.
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View Article and Find Full Text PDFCardiovasc Eng Technol
January 2025
Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA.
Purpose: This study explores the use of heart rate variability (HRV) analysis, a noninvasive technique for assessing the autonomic nervous system, by applying nonlinear dynamics and chaos theory to detect chaotic behavior in RR intervals and assess cardiovascular health.
Methods: Employing the "System Analysis of Heart Rate Dynamics" (SADR) program, this research combines chaos analysis with the short-time Fourier transform to assess nonlinear dynamic parameters in HRV. It includes constructing phase portraits in Takens space and calculating measures of chaos to identify deterministic chaos indicators.
Diabetes Res Clin Pract
January 2025
Department of Endocrinology-Diabetology-Nutrition, Jean Verdier Hospital, APHP, CINFO, Bondy, France. Electronic address:
Although often overlooked sleep apnea has emerged as a significant public health concern. Obstructive sleep apnea (OSA) and diabetes commonly co-exist with a vicious cycle worsening the incidence and severity of both conditions. OSA has many implications including cardiometabolic disorders and impaired cardiovascular (CV) prognosis.
View Article and Find Full Text PDFEpilepsia
January 2025
Division of Child Neurology, Stanford Medicine Children's Health, California, USA.
Objective: Seizures are a recognized complication of critical cardiovascular illness in infants and children. We assessed the diagnostic yield of continuous video-electroencephalography (cEEG) in a pediatric and neonatal cardiovascular intensive care unit (CVICU) by the symptoms and risk factors prompting cEEG evaluation.
Methods: This retrospective case series included all consecutive cEEGs in patients ≤21 years old performed in one CVICU over 38 months.
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