The Relationship Between Serum Lipid Fractions and Heart Rate Variability in Diabetic Patients With Statin Therapy

Badea, Anamaria Raluca; Nedelcu, Laurențiu; Văleanu, Mădălina; Zdrenghea, Dumitru

doi:10.15386/cjmed-313

Cited by 7 publications

(7 citation statements)

References 32 publications

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“…To our knowledge, there is no data on hypercholesterolemia and HRV in the literature. Interestingly, some studies showed that a decrease in LDL by statin therapy could improve HRV parameters [ 83 , 84 ]. We demonstrated that an increase in systolic blood pressure was linked with shorter RR intervals and a decrease in HF.…”

Section: Discussionmentioning

confidence: 99%

Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis

et al. 2018

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BackgroundCardiac autonomic neuropathy in type 2 dibetes mellitus (T2DM) patients is frequent and associated with high cardiovascular mortality. Heart rate variability (HRV) is the gold standard to measure cardiac autonomic neuropathy. We aimed to conduct a systematic review and meta–analysis to evaluate the impact of T2DM on HRV parameters.MethodsThe PubMed, Cochrane Library, Embase and Science Direct databases were searched on 1st October 2017 using the keywords “diabetes” AND (“heart rate variability” OR “HRV”). Included articles had to report HRV parameters in T2DM patients and healthy controls measured during 24 hours with a Holter–electrocardiogram. Measurements of HRV retieved were: RR–intervals (or Normal to Normal intervals—NN), standard deviation of RR intervals (SDNN), percetange of adjacent NN intervals differing by more than 50 milliseconds (pNN50), square root of the mean squared difference of successive RR intervals (RMSSD), total power, Low Frequency (LF), High Frequency (HF) and LF/HF ratio, as per Task Force recommendations.ResultsWe included twenty-five case-control studies with 2,932 patients: 1,356 with T2DM and 1,576 healthy controls. T2DM patients had significantly (P<0.01) lower RR–intervals (effect size = –0.61; 95%CI –1.21 to –0.01), lower SDNN (–0.65; –0.83 to –0.47), lower RMSSD (–0.92; –1.37 to –0.47), lower pNN50 (–0.46; –0.84 to –0.09), lower total power (–1.52; –2.13 to –0.91), lower LF (–1.08; –1.46 to –0.69]), and lower HF (–0.79; –1.09 to –0.50). LF/HF did not differ between groups. Levels of blood glucose and HbA1c were associated with several HRV parameters, as well as Time from diagnosis of T2DMConclusionsT2DM was associated with an overall decrease in the HRV of T2DM patients. Both sympathetic and parasympathetic activity were decreased, which can be explained by the deleterious effects of altered glucose metabolism on HRV, leading to cardiac autonomic neuropathy.

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Section: Discussionmentioning

confidence: 99%

Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis

et al. 2018

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“…Parameters like SDNN and rMSSD are reduced when glucose and insulin are elevated ( 99 ). Regarding lipid metabolism, change of diet has been associated with HRV changes ( 100 ), but reports are conflicting regarding possible correlations between lipid concentrations in blood and HRV ( 101 , 102 ).…”

Section: Hrv Is More Than the Autonomic Nerve System: Some Physiologimentioning

confidence: 99%

Heart-Rate Variability—More than Heart Beats?

Ernst

2017

Front. Public Health

305

231

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Heart-rate variability (HRV) is frequently introduced as mirroring imbalances within the autonomous nerve system. Many investigations are based on the paradigm that increased sympathetic tone is associated with decreased parasympathetic tone and vice versa. But HRV is probably more than an indicator for probable disturbances in the autonomous system. Some perturbations trigger not reciprocal, but parallel changes of vagal and sympathetic nerve activity. HRV has also been considered as a surrogate parameter of the complex interaction between brain and cardiovascular system. Systems biology is an inter-disciplinary field of study focusing on complex interactions within biological systems like the cardiovascular system, with the help of computational models and time series analysis, beyond others. Time series are considered surrogates of the particular system, reflecting robustness or fragility. Increased variability is usually seen as associated with a good health condition, whereas lowered variability might signify pathological changes. This might explain why lower HRV parameters were related to decreased life expectancy in several studies. Newer integrating theories have been proposed. According to them, HRV reflects as much the state of the heart as the state of the brain. The polyvagal theory suggests that the physiological state dictates the range of behavior and psychological experience. Stressful events perpetuate the rhythms of autonomic states, and subsequently, behaviors. Reduced variability will according to this theory not only be a surrogate but represent a fundamental homeostasis mechanism in a pathological state. The neurovisceral integration model proposes that cardiac vagal tone, described in HRV beyond others as HF-index, can mirror the functional balance of the neural networks implicated in emotion–cognition interactions. Both recent models represent a more holistic approach to understanding the significance of HRV.

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“…Total Cholesterol levels were close to the limits speci ed by guidelines for diabetic patients and for patients with cardiovascular diseases, with no signi cant di erences between males and females. 25 Mean values of HDL-C were decreased. HDL-C levels were found to be higher in females (37.22 ± 10.75) com¬pared with males (35.36 ± 7.70), with statistical signi ¬cance (p=0.00081).26 Few studies have shown that postmenopausal women present with a signi cant increase of TC, LDL-C and TG values, but insigni cant decrease of HDL-C.27-28 On the other hand, a comparative study of plasma lipid pro le tests in healthy young population showed that TC and LDL-C levels were signi cantly increased in men.…”

Section: Discussionmentioning

confidence: 95%