Usefulness of Heart Rate Variability for Qualitative Evaluation of Diabetic Autonomic Neuropathy. |
Kim, Jong Moon , Kim, Jong Hoon , Lee, Su Young , Lee, Jong Min , Kho, Sung Eun , Lee, In Sik , Kwon, Sun Duck , Shin, Hyun Joon , Park, Kwan Yong |
1Department of Rehabilitation Medicine, School of Medicine, Konkuk University, Korea. rmkjh@hanmail.net 2Department of Diagnostic Radiology, School of Medicine, Konkuk University, Korea. 3Department of Physical Therapy, Konkuk University Chungju Hospital, Korea. |
당뇨성 자율신경병증의 정량적 평가를 위한 심박변이도의 효용성 |
김종문, 김종훈, 이수영, 이종민, 고성은, 이인식, 권선덕, 신현준1, 박관용2 |
건국대학교 의학전문대학원 재활의학교실, 1방사선과학교실, 2건국대학교 충주병원 재활의학과 물리치료실 |
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Abstract |
Objective To investigate the relationship between autonomic neuropathy and peripheral neuropathy through analysis of heart rate variability (HRV) in diabetic patients, and ultimately to investigate usefulness for HRV analysis for quantitative evaluation and prediction of diabetic autonomic neuropathy. Method We performed nerve conduction study (NCS), H- reflex, and HRV test with 42 diabetic patients. We classified patients by presence of peripheral neuropathy and abnormality of H-reflex, respectively. By comparing standard deviation of RR interval (SDNN), high frequency (HF), low frequency (LF), very low frequency (VLF), and total power (whole level of frequency, TP) of HRV, we analyzed therelationship between these parameters and duration of diabetes, age, and results from NCS. Results There were significant differences of SDNN, HF, TP according to the presence or the absence of peripheral neuropathy. There were significant differences of SDNN, HF according to the presence or the absence of H-reflex abnormality. SDNN and HF had reversed-relationship to the degree of H-reflex abnormality. Conclusion We expect HRV might be used as an efficient quantitative method to detect diabetic autonomic neuropathy and suggest HRV to be used for early detection of diabetic peripheral neuropathy. (J Korean Acad Rehab Med 2006; 30: 148-152) |
Key Words:
Neuropathy, Heart rate variability, Diabetes |
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