Heart rate variability and target organ damage in hypertensive patients

BackgroundWe evaluated the association between linear standard Heart Rate Variability (HRV) measures and vascular, renal and cardiac target organ damage (TOD).MethodsA retrospective analysis was performed including 200 patients registered in the Regione Campania network (aged 62.4 ± 12, male 64%). HRV analysis was performed by 24-h holter ECG. Renal damage was assessed by estimated glomerular filtration rate (eGFR), vascular damage by carotid intima-media thickness (IMT), and cardiac damage by left ventricular mass index.ResultsSignificantly lower values of the ratio of low to high frequency power (LF/HF) were found in the patients with moderate or severe eGFR (p-value < 0.001). Similarly, depressed values of indexes of the overall autonomic modulation on heart were found in patients with plaque compared to those with a normal IMT (p-value <0.05). These associations remained significant after adjustment for other factors known to contribute to the development of target organ damage, such as age. Moreover, depressed LF/HF was found also in patients with left ventricular hypertrophy but this association was not significant after adjustment for other factors.ConclusionsDepressed HRV appeared to be associated with vascular and renal TOD, suggesting the involvement of autonomic imbalance in the TOD. However, as the mechanisms by which abnormal autonomic balance may lead to TOD, and, particularly, to renal organ damage are not clearly known, further prospective studies with longitudinal design are needed to determine the association between HRV and the development of TOD.

[1]  E. Grossi BMC Cardiovascular Disorders , 2007 .

[2]  M L Bots,et al.  Carotid Plaques Increase the Risk of Stroke and Subtypes of Cerebral Infarction in Asymptomatic Elderly: The Rotterdam Study , 2002, Circulation.

[3]  Akira Koike,et al.  Prognostic value of heart rate variability in patients with renal failure on hemodialysis. , 2009, International journal of cardiology.

[4]  B. Sredniawa,et al.  Heart rate variability in heart failure. , 2003, Kardiologia polska.

[5]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[6]  G. de Simone,et al.  Does Information on Systolic and Diastolic Function Improve Prediction of a Cardiovascular Event by Left Ventricular Hypertrophy in Arterial Hypertension? , 2010, Hypertension.

[7]  E. Rodríguez-Sánchez,et al.  Office and 24-hour heart rate and target organ damage in hypertensive patients , 2012, BMC Cardiovascular Disorders.

[8]  B. Dahlöf,et al.  Left ventricular hypertrophy and angiotensin II antagonists. , 2001, American journal of hypertension.

[9]  Rehan Qayyum,et al.  Heart rate variability predicts ESRD and CKD-related hospitalization. , 2010, Journal of the American Society of Nephrology : JASN.

[10]  Solomon Tesfaye,et al.  Using dynamic pupillometry as a simple screening tool to detect autonomic neuropathy in patients with diabetes: a pilot study , 2010, Biomedical engineering online.

[11]  Paolo Melillo,et al.  Remote Health Monitoring of Heart Failure With Data Mining via CART Method on HRV Features , 2011, IEEE Transactions on Biomedical Engineering.

[12]  Eary,et al.  CAROTID-ARTERY INTIMA AND MEDIA THICKNESS AS A RISK FACTOR FOR MYOCARDIAL INFARCTION AND STROKE IN OLDER ADULTS , 2000 .

[13]  Raffaele Izzo,et al.  The use of a telematic connection for the follow-up of hypertensive patients improves the cardiovascular prognosis , 2005, Journal of hypertension.

[14]  N. Unwin,et al.  Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Detection, Evaluation, and Treatment of High Blood Cholesterol Education Program (NCEP) Expert Panel on Executive Summary of the Third Report of the National , 2009 .

[15]  S. Rajagopalan,et al.  Predictors of heart rate variability and its prognostic significance in chronic kidney disease. , 2012, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[16]  A. Folsom,et al.  Carotid wall thickness is predictive of incident clinical stroke: the Atherosclerosis Risk in Communities (ARIC) study. , 2000, American journal of epidemiology.

[17]  Paolo Melillo,et al.  Discrimination Power of Short-Term Heart Rate Variability Measures for CHF Assessment , 2011, IEEE Transactions on Information Technology in Biomedicine.

[18]  P. Melillo,et al.  Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination , 2011, Biomedical engineering online.

[19]  N. Lomb Least-squares frequency analysis of unequally spaced data , 1976 .

[20]  G N Arbolishvili,et al.  [Heart rate variability in chronic heart failure and its role in prognosis of the disease.]. , 2006, Kardiologiia.

[21]  N. Reichek,et al.  Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings. , 1986, The American journal of cardiology.

[22]  J. Taylor,et al.  Counterpoint: cardiovascular variability is not an index of autonomic control of the circulation. , 2006, Journal of applied physiology.

[23]  F. Veglio,et al.  HEART RATE VARIABILITY AND LEFT VENTRICULAR DIASTOLIC FUNCTION IN PATIENTS WITH BORDERLINE HYPERTENSION WITH AND WITHOUT LEFT VENTRICULAR HYPERTROPHY , 2001, Clinical and experimental hypertension.

[24]  Friedberg Ck Computers in cardiology. , 1970 .

[25]  Kingston H. Tseng,et al.  Standards of Medical Care in Diabetes–2006 , 2006, Diabetes Care.

[26]  Raffaele Izzo,et al.  Insufficient Control of Blood Pressure and Incident Diabetes , 2009, Diabetes Care.

[27]  D. Sorriento,et al.  β2‐Adrenergic receptor polymorphisms and treatment‐induced regression of left ventricular hypertrophy in hypertension , 2006, Clinical pharmacology and therapeutics.

[28]  K. Klose,et al.  A new method to assess ventricular wall stress in patients with heart failure and its relation to heart rate variability. , 2010, International journal of cardiology.

[29]  G. Moneta Carotid Intima-Media Thickening Indicates a Higher Vascular Risk Across a Wide Age Range: Prospective Data From the Carotid Atherosclerosis Progression Study (CAPS) , 2008 .

[30]  A. Dominiczak,et al.  2007 Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC) , 2007, European heart journal.

[31]  M. Safar,et al.  Selective reduction of cardiac mass and central blood pressure on low-dose combination perindopril/indapamide in hypertensive subjects , 2004, Journal of hypertension.

[32]  M. Alderman,et al.  Role of Preclinical Cardiovascular Disease in the Evolution From Risk Factor Exposure to Development of Morbid Events , 1993, Circulation.

[33]  Oliver Kuss,et al.  Association of health behaviour with heart rate variability: a population-based study , 2010, BMC cardiovascular disorders.

[34]  W. Edwards,et al.  Age-related changes in the anatomy of the normal human heart. , 1990, Journal of gerontology.

[35]  Matthias W. Lorenz,et al.  Carotid Intima-Media Thickening Indicates a Higher Vascular Risk Across a Wide Age Range: Prospective Data From the Carotid Atherosclerosis Progression Study (CAPS) , 2006, Stroke.

[36]  L. Csiba,et al.  Anxiety, depression and autonomic nervous system dysfunction in hypertension , 2012, Journal of the Neurological Sciences.

[37]  Giuseppe Mancia,et al.  Point: cardiovascular variability is/is not an index of autonomic control of circulation. , 2006, Journal of applied physiology.

[38]  Giuseppe Mancia,et al.  Point: Counterpoint: Cardiovascular variability is/is not an index of autonomic control of circulation , 2006 .

[39]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[40]  W. Haley,et al.  Comparison in systemic hypertension of left ventricular mass and geometry with systolic and diastolic function in patients <65 to > or = 65 years of age. , 1998, The American journal of cardiology.

[41]  P. Hamilton,et al.  Open source ECG analysis , 2002, Computers in Cardiology.

[42]  G. Eknoyan,et al.  Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). , 2005, Kidney international.

[43]  Emery N. Brown,et al.  Point process time–frequency analysis of dynamic respiratory patterns during meditation practice , 2012, Medical & Biological Engineering & Computing.

[44]  A. DeMaria,et al.  Recommendations Regarding Quantitation in M-Mode Echocardiography: Results of a Survey of Echocardiographic Measurements , 1978, Circulation.

[45]  Paolo Melillo,et al.  Discrimination power of long-term heart rate variability measures for chronic heart failure detection , 2011, Medical & Biological Engineering & Computing.

[46]  M Ericson,et al.  Heart rate variability in healthy subjects is related to age and gender. , 1997, Acta physiologica Scandinavica.

[47]  S. Yusuf,et al.  Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. , 2001, Circulation.

[48]  J. Mckenney,et al.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). , 2001, JAMA.

[49]  U. Rajendra Acharya,et al.  Heart rate variability: a review , 2006, Medical and Biological Engineering and Computing.

[50]  Duanping Liao,et al.  Hypertension, Blood Pressure, and Heart Rate Variability The Atherosclerosis Risk in Communities (ARIC) Study , 2003 .

[51]  A. Vinik,et al.  Diabetic Cardiovascular Autonomic Neuropathy , 2007, Circulation.

[52]  H. Huikuri,et al.  Determinants of cardiac vagal regulation: A cross-sectional study in a general population , 2011, Autonomic Neuroscience.

[53]  B. Trimarco,et al.  A Common Variant of Endothelial Nitric Oxide Synthase (Glu298Asp) Is an Independent Risk Factor for Carotid Atherosclerosis , 2001, Stroke.

[54]  A. Abdulle,et al.  Cognitive and autonomic dysfunction measures in normal controls, white coat and borderline hypertension , 2011, BMC cardiovascular disorders.

[55]  P. Melillo,et al.  Pupillometric analysis for assessment of gene therapy in Leber Congenital Amaurosis patients , 2012, Biomedical engineering online.

[56]  A. Dominiczak,et al.  2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension: ESH-ESC Task Force on the Management of Arterial Hypertension. , 2007, Journal of hypertension.

[57]  J. Thayer,et al.  The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. , 2010, International journal of cardiology.

[58]  M. Rondon,et al.  Day-night pattern of autonomic nervous system modulation in patients with heart failure with and without sleep apnea. , 2011, International journal of cardiology.

[59]  J. Sanderson,et al.  Heart Rate Variability in Heart Failure , 1998, Heart Failure Reviews.

[60]  Richard B Devereux,et al.  Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardio , 2005, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.