R-R interval variability analysis with electromyography detects early autonomic neuropathy in diabetic children

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dc.authorscopusid6603040523
dc.authorscopusid6602546507
dc.authorscopusid6504799643
dc.authorscopusid6602822048
dc.authorscopusid6603449796
dc.contributor.authorTurgut N.
dc.contributor.authorKarasaliho?lu S.
dc.contributor.authorKüçüku?urluo?lu Y.
dc.contributor.authorBalci K.
dc.contributor.authorEkuklu G.
dc.date.accessioned2024-06-12T10:28:47Z
dc.date.available2024-06-12T10:28:47Z
dc.date.issued2008
dc.description.abstractPurpose: Autonomic neuropathy may exist together with peripheral neuropathy, especially in diabetic patients and it is important to diagnose early autonomic neuropathy especially cardiac one because of their serious effects on mortality and morbidity rates. A decrement of R-R interval variability (RRIV) is a good marker for cardiac autonomic neuropathy. We analyzed RRIV with an alternative method using electromyography machine, and assessed the RRIV in diabetic children who have no clinical sign of cardiac autonomic neuropathy. Method: 64 healthy (mean age 9.5±1.8) and 33 type 1 diabetic (mean age 10.2±2.8) children who have no peripheral neuropathy were included. Recording was made on EMG machine and RRIV was obtained during quiet and deep breathing. Two surface electrodes were placed on the chest, and using triggering mode and delay line, two QRS complexes displayed on the screen. Since the first QRS complex was triggering potential, variation in timing of the second QRS complex represented variation in the R-R interval. RRIV was expressed as a percentage of the average R-R interval. Results: In healthy children, RRIV was 23.9±9.5% in rest and 25.6±10.2% in hyperventilation. In diabetic children, RRIV was 17,4±6.6% in rest, 22±8.9% in hyperventilation. Resting RRIV was lower in diabetic children than healthy children (p=0.001), but there was no difference between groups in hyperventilation (p=0.4). Discussion: Our findings suggest that RRIV may have value to determine cardiac autonomic neuropathy in diabetic children who have no clinical sign of cardiac autonomic neuropathy. Conclusion: The technique, we used is a non time consuming procedure, easily performed in EMG laboratory, and is a simple way of reflecting autonomic dysfunction of the heart.en_US
dc.identifier.endpage142en_US
dc.identifier.issn1300-8773
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-53549103307en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage137en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/17419
dc.identifier.volume46en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofYeni Symposiumen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutonomic Neuropathy; Diabetes Mellitus; Electromyography; R-R Interval Variabilityen_US
dc.subjectAdolescent; Article; Autonomic Neuropathy; Breathing; Cardica Autonomic Neuropathy; Child; Comparative Study; Controlled Study; Diabetes Mellitus; Diabetic Patient; Electrode; Electromyography; Female; Human; Hyperventilation; Major Clinical Study; Male; Qrs Complex; Rr Intervalen_US
dc.titleR-R interval variability analysis with electromyography detects early autonomic neuropathy in diabetic childrenen_US
dc.typeArticleen_US

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