AI Summary & Key Takeaways
AI InsightMagnetic resonance imaging findings werereevaluated to identify any demyelinating lesions in the brain stem.Results: The HRV parameters of SDNNI (mean of the standard deviations of all normal sinus RR intervals in all 5-min segments),rMSSD (root–mean–square successive difference), and sNN50 (percentage of successive normal sinus RR intervals >50 ms) weresignificantly lower in the MS group than in the control group (P < 0.05).Conclusion: This study revealed that the patients with MS had reduced HRV; this was demonstrated by dysfunction with regard toparasympathetic and sympathetic parameters in HRV analysis.
📌 3 Key Takeaways
Abstract
Background/aim: Multiple sclerosis (MS) is an autoimmune disease characterized by neurodegeneration or demyelination; therelapsing–remitting phase of MS is characterized by acute exacerbation of disease activity. The most commonly used noninvasiveapproach to assess autonomic function is the determination of heart rate turbulence (HRT) and heart rate variability (HRV). The aim ofthis study was to evaluate the presence of cardiovascular autonomic dysfunction using HRT and HRV parameters determined via 24-hHolter ECG monitoring in patients with relapsing–remitting MS without known heart disease.Materials and methods: The study included 26 patients diagnosed with relapsing–remitting MS and 22 age- and sex-matched healthycontrols. HRT and HRV parameters were analyzed via 24-h Holter ECG monitoring. Magnetic resonance imaging findings werereevaluated to identify any demyelinating lesions in the brain stem.Results: The HRV parameters of SDNNI (mean of the standard deviations of all normal sinus RR intervals in all 5-min segments),rMSSD (root–mean–square successive difference), and sNN50 (percentage of successive normal sinus RR intervals >50 ms) weresignificantly lower in the MS group than in the control group (P < 0.05).Conclusion: This study revealed that the patients with MS had reduced HRV; this was demonstrated by dysfunction with regard toparasympathetic and sympathetic parameters in HRV analysis.