Spectral analysis of short-term heart rate variability in diabetic patients

Comi, Giancarlo; Sora, Maria Grazia Natali; Bianchi, Anna Maria; Bontempi, Bruno; Gianoglio, P.; Cerutti, S.; Micossi, P.; Canal, N.

doi:10.1016/0165-1838(90)90100-w

Cited by 33 publications

(16 citation statements)

References 12 publications

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“…We can strongly confirm HF peak presence because it shifted in the powerspectra simultaneously with respiratory rate (Table 4) and completely disappeared during 'apnoea test' (6 min apnoea needed for brain death diagnosis) during which it is possible to observe only DC component (Table 5). A similar pattern have been observed in functional denervated hearts like Chagas' and diabetic patients' hearts [7][8]. Moreover, in one patient with brain death HF peak unexpectedly di.sappeared after after beta blockers (propanolol 5 mg e.v.)…”

Section: Discussionsupporting

confidence: 57%

Heart rate variability and severe brain damage: preliminary data

Lacquaniti

Irone

Barbacini

et al. 1993

J Clin Monitor Comput

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Severe brain damage may cause alterations of cardiovascular function: heart rate, particularly, require the integrity of the vagal, sympathetic and central nervous systems. We studied brain-heart functional relation and neurovegetative modulation by spectral analysis of heart rate variability (HRV). This technique allows separate evaluation of the sympathetic and vagal components of heart rate modulation. In order to correlate changes in HRV with brain damage, we performed 45 recordings in 6 patients (5/1 M/F) by means of autoregressive analysis (AAR). All patients were admitted to the ICU for severe brain damage (anoxic, traumatic or vascular). In 4 patients clinical outcome was brain death, in 2 permanent vegetative status. Two different patterns were found: one in patients with brain death, the other in patients with vegetative status. The small number of patients does not allow definitive conclusions from collected data, but that application of spectral analysis of HRV seems to be a useful monitoring of brain damage subjects.

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Section: Discussionsupporting

confidence: 57%

Heart rate variability and severe brain damage: preliminary data

Lacquaniti

Irone

Barbacini

et al. 1993

J Clin Monitor Comput

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“…This depression of the cholinergic peak is comparable only with findings re¬ ported in neuropathic diabetic patients; however, in dia¬ betes, the sympatheticas well as the parasympatheticdependent frequencies are depressed. 20 Measuring plasma norepinephrine concentration, Raskind et al24 found increased central and peripheral nervous sys-tern noradrenergic activity at advanced stages of the dis¬ ease. The indexes describing the autonomie neural activity measured in the present study may be associated with de¬ creased parasympathetic activity, indirectly measured by increased RA and decreased RB, either as a solitary effect of the decreased parasympathetic tone or as a dual effect of the last effect together with decreased parasympathetic inhibition of sympathetic activity.…”

Section: Resultsmentioning

confidence: 99%

Increased Sympathetic and Decreased Parasympathetic Cardiac Innervation in Patients With Alzheimer's Disease

Aharon‐Peretz¹,

Harel²,

Revach³

et al. 1992

Archives of Neurology

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“…Various research groups all over the world are relying on its validity and accuracy in tapping sympathetic and parasympathetic in¯uences in autonomic regulation (Comi et al, 1990;Malpas & Maling, 1990;Thomaseth et al, 1990;. Various research groups all over the world are relying on its validity and accuracy in tapping sympathetic and parasympathetic in¯uences in autonomic regulation (Comi et al, 1990;Malpas & Maling, 1990;Thomaseth et al, 1990;.…”

Section: Rest Stress Rest Stressmentioning

confidence: 99%

Early autonomic dysfunction in patients with diabetes mellitus assessed by spectral analysis of heart rate and blood pressure variability

Laederach‐Hofmann

Mussgay

Winter

et al. 1999

Clinical Physiology

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Patients with diabetes mellitus (DM) often have alterations of the autonomic nervous system (ANS), even early in their disease course. Previous research has not evaluated whether these changes may have consequences on adaptation mechanisms in DM, e.g. to mental stress. We therefore evaluated whether patients with DM who already had early alterations of the ANS reacted with an abnormal regulatory pattern to mental stress. We used the spectral analysis technique, known to be valuable and reliable in the investigation of disturbances of the ANS. We investigated 34 patients with DM without clinical evidence of ANS dysfunction (e.g. orthostatic hypotension) and 44 normal control subjects (NC group). No patients on medication known to alter ANS responses were accepted. The investigation consisted of a resting state evaluation and a mental stress task (BonnDet). In basal values, only the 21 patients with type 2 DM were different in respect to body mass index and systolic blood pressure. In the study parameters we found significantly lower values in resting and mental stress spectral power of mid-frequency band (known to represent predominantly sympathetic influences) and of high-frequency and respiration bands (known to represent parasympathetic influences) in patients with DM (types 1 and 2) compared with NC group (5.3 +/- 1.2 ms2 vs. 6.1 +/- 1.3 ms2, and 5.5 +/- 1.6 ms2 vs. 6.2 +/- 1.5 ms2, and 4.6 +/- 1.7 ms2 vs. 6.2 +/- 1.5 ms2, for resting values respectively; 4.7 +/- 1.4 ms2 vs. 5.9 +/- 1.2 ms2, and 4.6 +/- 1.9 ms2 vs. 5.6 +/- 1.7 ms2, and 3.7 +/- 2.1 ms2 vs. 5.6 +/- 1.7 ms2, for stress values respectively; M/F ratio 6/26 vs. 30/14). These differences remained significant even when controlled for age, sex, and body weight. However, patients with DM type 2 (and significantly higher body weight) showed only significant values in mental stress modulus values. There were no specific group effects in the patients with DM in adaptation mechanisms to mental stress compared with the NC group. These findings demonstrate that power spectral examinations at rest are sufficiently reliable to diagnose early alterations in ANS in patients with DM. The spectral analysis technique is sensitive and reliable in investigation of ANS in patients with DM without clinically symptomatic autonomic dysfunction.

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Spectral analysis of short-term heart rate variability in diabetic patients

Cited by 33 publications

References 12 publications

Heart rate variability and severe brain damage: preliminary data

Heart rate variability and severe brain damage: preliminary data

Increased Sympathetic and Decreased Parasympathetic Cardiac Innervation in Patients With Alzheimer's Disease

Early autonomic dysfunction in patients with diabetes mellitus assessed by spectral analysis of heart rate and blood pressure variability

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