Twenty-First Century Cardiology Practice can and should Minimize Oxidative Stress and Optimize Heart Rate Variability View PDF

*Gary L Murray
Director Of Medical Research, Heart And Vascular Institute, United States

*Corresponding Author:
Gary L Murray
Director Of Medical Research, Heart And Vascular Institute, United States
Email:drglmurray@hotmail.com

Published on: 2020-11-05

Abstract

This commentary is inspired by the 12 year study of 133 type II diabetics (DM) in whom sudden cardiac death(SCD) risk was identified SCD with one autonomic screening and addressed, reducing SCD 43% (p = 0.0076) [1], as well as studies identifying/treating autonomic markers of major adverse cardiac events( MACE) in congestive heart failure (CHF), HTN, and coronary disease(CAD) [2-6] resulting in improved outcomes. Since oxidative stress, and secondary dysautonomia, is a common thread of all major cardiac disease, and there is preventative/corrective therapy, a new paradigm of screening/treating oxidative-stress cardiac dysautonomia as a major common final pathway to MACE should be considered.

Keywords

Oxidative stress; Heart rate variability; Ranolazine (r)Alpha Lipoic Acid; Covid-19

Introduction

1700 years ago, the Chinese physician Wang Shuhe wrote,” If the pattern of the heartbeat becomes as regular as the tapping of a woodpecker or the sound of the rain on the roof, the patient will be dead in four days”-the 1st recorded recognition of the poor prognosis of reduced heart rate variability(HRV).In 1925, the critical role of the Autonomic Nervous System(ANS) in health and disease was prophesized: “The wise use of the autonomic nervous system will someday represent the core skill in the set of healing.”-Heinrich Hering. In 1990, Heart Rate Variability (HRV = Sympathetic-tone [S] + Parasympathetic-tone [P]) was 1st used in clinical cardiology, emphasizing a reduction in HRV was associated with poor prognosis in all major cardiovascular illness. In 2000, HRV was included in Sudden SCD risk stratification. However, all non-invasive ANS measurements only measured total autonomic activity, resulting in assumptions and approximations of the independent contributions of S and P to total HRV. Since HRV = S + P, both S and P must be identified. A technologic breakthrough accomplished this, developed, validated, and verified by the 1st joint Bio-Medical Engineering program group from the Massachusetts Institute of Technology and Harvard [7-11] and is now available for user-friendly routine use. It is P&S Monitoring, quantifying the independent contribution of S and P to total HRV through two simultaneous measurements: (1) ECG recording establishing total HRV (Low-Frequency area [0.04 - 0.15 Hz] under the HR time-frequency spectral curve), simultaneously with (2) Impedance Plethysmography which independently quantitates P (a 0.12 Hz-wide window area under the HRV spectral curve centered on the modal peak of the time-frequency Respiratory Activity [RA] spectral curve; HRV due to RA is solely P-dependent). Therefore, S(LFa) = HRV – P(RFa); where P is no longer assumed to be the area under the HRV curve between a wide, noise-containing 0.15 - 0.40 Hz band, but is measured as the Respiratory Frequency area (RFa). The curves are analyzed using continuous wavelet transforms rather than the frequency-only fast Fourier transforms. The latter, although accurate for stationary signals, compromises time and frequency resolution due to the fixed-length windows used in the analysis.

Oxidative Stress

Many chronic and serious pathologies cause an over-production of oxidants, including reactive oxygen and nitrogen species (ROS, NOS), e.g. oxidative stress. While some level of oxidants is required by the immune system as a defense against pathogens, excess oxidants cause damage, most significantly to mitochondria. The heart and the nervous system have the most mitochondria per cell and are more vulnerable to oxidative- stress damage. P&S dysfunction accelerates cardiovascular disease into a downward spiral, often before symptoms manifest.

The Oxidative Stress-Cardiovascular Disease Connection

Presently, although we are aware of the paradigm depicted in (Figure 1), we still treat primarily the symptoms resulting from oxidative stress with stents, coronary artery bypass(or peripheral vascular interventions), defibrillators, ablations, and certain medications, rather than treating the oxidative stress per se or the autonomic dysfunction it causes. The exception is we address the neurohumoral paradigm of systolic CHF partially (see below).

SCD IN DM II

There is no better model of the oxidative stress-cardiovascular autonomic dysfunction-cardiovascular disease axis than Type 2 diabetes (DM II) [1].

Diabetics have a two-fold increased risk of SCD, the most common cause of death in adult diabetics. Subgroup analyses have not explained this adequately.

Diabetic Autonomic Neuropathy (DAN) [12], carries a 53% 5yr. mortality, half of the deaths sudden. DAN can progress to Cardiovascular Autonomic Neuropathy (CAN) in approximately 65% of patients with aging and diabetes duration; CAN, critically low Parasympathetic tone (P), increased SCD in the Framingham Study.

Hyperglycemic- oxidative stress causes dysautonomia (Figure 1). We hypothesized (r) Alpha Lipoic Acid(ALA), a natural, potent antioxidant, might reduce SCD in Type 2 Diabetics (DMII) with dysautonomias. We have shown previously (r) ALA improves autonomics in HTN [5] as well as Neurogenic Orthostatic Hypotension (NOH) [13].

In 2006, 133 consecutive DMII referrals for cardiovascular evaluation underwent P and S testing via ANX 3.0 Autonomic Monitoring (P&S Monitoring, Physio PS, Inc., Atlanta, GA). P & S are normally: sitting LFa(S) and RFa(P) = 0.5 to 10.0 bpm2; sympathovagal balance (SB) is age-dependent = 0.4 to 1.0 for geriatrics; stand LFa is ≥ 10% increase with respect to(wrt) sit; stand RFa is a decrease wrt sit. High SB is defined as >2.5, as established in our 483-patient study[4]. High SB and CAN define a high risk of mortality, acute coronary syndromes (ACS), CHF, and ventricular tachycardia/fibrillation (VT/VF) alone or as a composite endpoint [4].

In the 83 (r) ALA patients (Group 1), P&S was recorded 2-3 mo. afterward until maintenance dosage, then yearly. Non-(r) ALA patients (Group 2, refused (r)ALA) were tested yearly.

There was a 43% RRR in SCD in the (r)ALA-treated cohort (Figure 2).

Demographics, and P & S measures initially actually favored the non-(r)ALA Group. The difference in SCD was due to the autonomics (Table 1).

Table 1: Comparison between Survivors and Sudden Cardiac Death patients, Mean P&S Measures.(Abbreviations as in text).

 

Survivors ±(r)ALA

Sudden Cardiac Death ±(r)ALA

N

90

43

 

Initial

Final

Δ%

P

Initial

Final

Δ%

p

Sitting (Rest)

LFa (bmp2)

1.25 ± 2.19

1.10 ± 1.55

-12

p = 0.045

0.89 ± 1.60

0.93 ± 1.09

+4.5

p = 0.039

RFa (bmp2)

1.2 ± 2.33

1.35 ± 1.50

+12.5

p = 0.079

1.11 ± 1.93

0.45 ± 0.47

-59.5

p = 0.054

SB 1.23 ± 1.50

1.76 ± 1.47

2.07± 1.49

+17.6

p = 0.064

2.03 ± 1.92

2.63 ± 2.60

+29.5

p = 0.064

Standing

LFa (bmp2)

1.16 ± 2.05

1.00 ± 1.22

-13.8

p = 0.056

0.9 ± 1.28

0.68 ± 0.91

-24.4

p = 0.005

RFa (bmp2)

0.97 ± 1.70

1.75 ± 1.95

+80.4

p = 0.051

0.82 ± 1.21

0.58 ± 0.66

-29.3

p < 0.001

Only (r)ALA survivors demonstrated an increase in final, resting P(and HRV); P reduces VT/VF and silent ischemia [14-19], increasing 36.2% vs. a 7.6% decrease for non-(r)ALA survivors, a 10.5% decrease for (r)ALA SCDs, and a 67.5% decrease for non-(r)ALA patients with SCD. Theprogressive increase in the decline of resting P indicated mortality, from the lowest decline in resting P in non-(r)ALA survivors, to the next greater decline in (r)ALA SCDs, to those with the greatest decline, non-(r)ALA SCDs (p < 0.001). Changes in P were proportional to (r)ALA dose. High SB(>2.5) had a lesser influence on DM II SCD.

Fifteen-20% of deaths worldwide are sudden (w/i 1 hr. of symptoms), and the majority are cardiovascular. Eighty-five % of SCDs occur in patients not previously diagnosed with heart disease or who have a history of stable heart disease with LVEF >40%; our ability to predict these SCDs using current paradigms is limited to poor. Does the “DM II oxidative stress-cardiac dysautonomia model” of SCD apply to the general population? This is under study, but my guess is probably so. Cardiologists should have the capacity to screen and treat patients for cardiac dysautonomia. Low P correlates with coronary disease (CAD) as well as SCD, especially P<0.10bpm2, and usually is responsive to (r)ALA. What about high SB?We do this well using beta-blockers to counter the harmful effects of high S in CHF (the neurohumoral paradigm) (Figure 3).

CHF

Over 50% of ACC/AHA Guideline-treated chronic CHF patients have a persistently high SB [2,3] Fifty-four CHF patients were randomized to open-label RAN(RANCHF)added to usual therapy vs usual therapy (NORANCHF). P&S measurements were taken at baseline and at12mo. Sixteen/27 (59%) patients in both groups had initially abnormal P&S measures, including high SB, CAN, or both. High SB normalized in 10/12 (83%) RANCHF patients vs 2/11 (18%) NORANCHF patients. SB increased in 5/11 (45%) NORANCHF patients with initially normal P&S vs 1/11 (9%) RANCHF patients and improved in 4/6(67%) RANCHF patients vs 5/7 (45%) NORANCHF patients. Can be developed in 1/11(9%) RANCHF patients with initially normal P&S vs 4/11(36%) NORANCHF patients. Since improved P&S in RANCHF patients was independent of improved brain natriuretic peptide(BNP) and impedance cardiography (BioZ®) measurements, 5 days RAN was given to 30 subjects without CHF but with high SB and/or CAN. P&S improved by 90%, returning to baseline upon RAN discontinuation.Neuronal Nav1.7 is blocked in its open state in a strongly use-dependent manner by RAN via the local anesthetic receptor [2], so RAN can directly alter the function of the P&S branches of the ANS.

Ranolazine (RAN) also reduces the late sodium current (INa) in congestive heart failure (CHF), reducing myocardial calcium overload, thereby potentially improving LV function [3]. NYHA class 2-4 CHF patients were given open-label RAN (RANCHF, 41 systolic, 13 diastolic) added to guideline-driven therapy or no RAN (NORANCHF, 43 systolic, 12 diastolic). LVEF increased from 0.30 to 0.36(p=0.001); diastolic RANCHF patients’ LVEF increased from 0.43 to 0.52(p=0.002). NORANCHF patients’ LVEF remained unchanged. P & S measures every 6 months. demonstrated improved SB in RANCHF subjects; SB worsened during control therapy (Tables 2,3). MACE tended to be lower in RANCHF vs. NORANCHF patients: cardiac death 5.6% vs. 12.7%, ventricular tachycardia/ventricular fibrillation events 11.1% vs. 23.6%, and CHF hospitalizations 22.2% vs. 27.3%.

Table 2: S & P, LVEF Results. Bpm2= beats for min2; EFU=ejection fraction unit; E/I ratio=exhalation to inhalation ratio (unitless); LFa=low-frequency area (bpm2); a measure of sympathetic activity (see methods); LEVF=Left Ventricular Ejection Fraction; RAN=Ranolazine; RANCHF=congestive heart failure patients treated with RAN; RFa=respiratory frequency area (bpm2); a measure of parasympathetic activity (see methods); SB=sympathovagal balance (unitless, see methods); VR=Valsalva ratio (unitless, see methods); 30:15 ratio= ratio of 30 to the 15 R-R interval immediately after standing (unitless,see methods).(Time domain measures E/I,VRand 30:15 are displayed,but not discussed, in Tables 2,3,6).

 

 

RANCHF (N=46)

 NORANCHF (N=49)

Initial

Final

p

Initial

Final

p

Rest 

Lfa

4.91

2.49

0.034

1.74

3.42

0.015

Rfa

1.64

1.56

0.047

0.7

0.93

0.012

SB

2.42

1.98

0.019

2.61

4.28

0.039

Deep breathing Rfa

15.8

13.7

0.065

7.66

11.8

0.257

E/l ratio

1.11

1.09

0.552

1.11

1.11

0.156

Valsalva challenge LFa

35.6

29

0.05

17.8

11.8

0.187

VR

1.2

1.24

0.359

1.17

1.19

0.753

Head-up change

challenge (Stand) Lfa

2.63

2.13

0.006

2.83

1.28

0.011

RFa

2.2

0.76

0.002

0.82

0.9

0.011

30:15 ratio

1.16

1.09

0.075

1.16

1.17

0.068

LVEF

0.34

0.41

0.0002

0.38

0.34

0.125

Table 3: Baseline and follow-up(pre- & post-RAN) P & S measures and LVEF in. 46† RANCHF patients.

 

Pts w/Events+       

p value

Pts w/o Events

p value

(N=15)

(LVEF)

(N=31)

(Bx)

Rest

pre & post RAN

pre & post RAN

 

LFa*

 11.2 & 5.36

<0.001

1.90 & 1.10

0.011

RFa*

2.06 & 3.67

<0.001

1.44 & 0.70

0.006

SB‡

3.69 & 2.87

<0.001

1.80 &1.54

0.025

Deep Breathing

 

RFa*

16.7 & 14.2

<0.001

15.3 & 12.7

0.011

E/I Ratio

1.12 & 1.09

0.696

1.20& 1.06

0.321

Valsalva

 

LFa*

32.6 & 29.9

<0.001

37.0 & 31.3

0.065

VR

1.21 & 1.25

0.693

1.22 & 1.22

0.48

Stand

 

LFa*

19.2 & 4.79

<0.001

20.5 & 6.6

0.012

RFa*

0.57 & 1.0

<0.001

7.36 & 0.64

0.045

30:15

1.15& 1.10

<0.001

1.16 & 1.20

0.329

LVEF

? = +6 EFUs

 

? = +9 EFUs

0.018

change:

 

(pre&post RAN)

0.30 to 0.36

 

0.35.5 to 0.44

 

†no P & S 8 in patients with arrhythmia; abbreviations as in Table 2.

The (r) ALA study confirmed lower P increases MACE, and the (r)ALA and RAN studies suggested SB>2.5 increases MACE and lowering SB should decrease MACE. We followed 483 patients for a mean of 4.92 yr. (127 with CAD risk factors, 224 with CAD, 132 with chronicCHF) (Table 4) [4]. We compared SB>2.5 to reversible myocardial imaging defect(s)or LVEF

HTN

Approximately 1.5 billion people are hypertensive. We are sub optimally dealing with this pandemic. Less than 50% of patients are controlled, and both mortality and morbidity are increasing (5), despite our wide variety of pharmacologic therapies and a multitude of guidelines. A recent comparison of the AHA/AHACDC, ESH/ESC, ASH/ISH, and NICE guidelines all recommend 4 main drug classes (Angiotensin-Converting Enzyme Inhibitors[ACEI), Angiotensin Receptor Blockers (ARB), Calcium Channel Blockers (CCB), and diuretics with no need to emphasize differences between drugs within each class [20]. None recommend utilizing an assessment of the S and P abnormalities we’ve identified over the past 14 years (frequently present) or using the results to identify which drug(s) to choose if S and P malfunction(s) are identified. HTN, by definition, is a hemodynamic disease, and there are major inter- and intra-class differences in the hemodynamic effects, which can be autonomically mediated, among the drugs we administer. One possible explanation for our difficulty controlling HTN is that we do not tailor therapy to each patient’s pathophysiology. A blood pressure of 160/95 can be, with a few comorbid/cost exceptions or physician preferences, treated the same in every patient. Do we treat all pneumonia, DM, or CAD the same?  In our defense, until recently, we couldn’t do otherwise for HTN. But now we can more scientifically choose and adjust therapy; we have a tool that could assist in meeting this goal; a tool that’s not being employed. So, we continue treating the blood pressure per se.

Several causative mechanisms of HTN have been proposed. Of these, we believe the neuro-adrenergic hypothesis [5] deserves the most attention since our autonomic testing of hypertensives has revealed ANS abnormalities prevalent in over 90% of patients. Increased S tone and Cardiac Output (CO) accompanied by low Systemic Vascular Resistance (Rs) typifies young hypertensives. Over the years, high S and CO decrease. Rs increases, likely due to end-organ damage (Arterial Hypertrophy and Endothelial dysfunction), uncoupling Rs from S (although S still influences it, as does P), that causes decreased Baroreceptor Reflex (BR) and Cardiopulmonary Receptor sensitivity, accompanied by lowering of P activity. If P<<S, SB is too high, increasing MACE 7-fold (Table 4). Obesity, alternatively, is associated with high S and HTN.

Table 4: SB best predicts MACE.

For predicting MACE, SB > 2.5(p<0.001) outperformed + MPI(reversible defects[s]) in all 3 groups, outperforming Framingham in group 1, & 2DE LEVF ≤ 0.33 IN Group 3. 

Events

 

Sensitivity

OR

Specificity

PPV

NPV

SB > 2.5 (all)

0.59

7.03 (CI 4.59-10.78)

0.83

0.64

0.8

1+MPI (CD)

0.31

1.93(CI 0.90-4.16)

0.88

0.67

0.62

LEVF ≤.33 (CHF)

0.67

3.46(CI 1.49-8.05)

0.67

0.5

0.81

Mean Arterial Blood Pressure (mBP)-mean right Atrial BP = Rs x CO.

We only measure mBP (e.g. BP) while treating HTN. S & P profoundly affect both unmeasured variables in this equation, yet S & P are unmeasured as well. Incredibly, we don’t measure major factors that alter the 2 unmeasured variables in the equation! So, there are 4 values (S, P, Rs, CO), each of which differs in every patient, yielding a multitude of combinations affecting the BP we’re attempting to control. No wonder we struggle.

By focusing on the BP per se without obtaining S & P measures initially, we assume the HTN to be primary,e.g. essential HTN, in at least 90% of hypertensives, with patients rarely having secondary HTN, such as pheochromocytoma, Cushing’s, etc. This is a false assumption, as HTN may be secondary, due to primary autonomic dysfunction such as Parasympathetic Excess (PE), Sympathetic Excess (SE) (although common early in young essential hypertensives, SE is not confined to them), and Sympathetic Withdrawal (SW) upon standing,  Treating these types of HTN as primary, rather than secondary, results in poor outcomes. A full discussion of these is beyond the scope of this article, so I’ll focus on PE.

PE can present as anxiety, chronic regional pain syndrome, addictions (since P is associated with brain stem pleasure/comfort centers), chronic fatigue, sleep disorders, and cognitive disorder (“brain fog”). The PE causes a secondary SE to preserve cerebral perfusion, resulting in secondary HTN. The treatment of PE is 1/10th the traditional dose of antidepressants or very low dose carvedilol, not the current guidelines’ recommended ACEI/ARB, CCB, or a diuretic (refer to Clinical Autonomic Dysfunction, by Colombo, et al.; Springer).

We performed a feasibility study comparing S & P assisted HTN therapy to JNC 8 therapy [5]. Forty-six patients were randomized. Of the S & P assisted Group 74% achieved JNC goals vs. 30.4% of the JNC 8 treated Group (p<0.001, home and office systolic and diastolic BP). The office P & S mean measures are listed in Table 5. Final S was lower sitting and P was higher sitting and standing (p<0.001) in the S & P Group. These results required 2.3 prescription drugs in the S & P Group vs. 3 in the JNC 8 Group.

Table 5: P&S Mean Measures. dBP=diastolic blood pressure; LFa=low frequency area (S);P=parasympathetic; RFa=respiratory frequency area (P); SB=Sympathovagal Balance; sBP=systolic BP.

 

P&S Guided Therapy 

JNC8-Guided Therapy

 

 

Initial

Final

Initial

Final

p

Resting pulse

82

61

76

72

<0.001

LFa (bpm2)

2.11

0.9

0.57

1.19

<0.001

RFa (bpm2)

2.15

0.71

0.47

0.62

<0.001

sBP (mmHg)

151

138

155

146

<0.001

dBP (mmHg)

74

71

73

65

<0.001

SB* (unitless)

3.26

1.86

1.83

1.84

0.004

Standing 

LFa (bpm2)

3.19

2.35

0.67

2.31

ns

RFa (bpm2)

1.67

1.56

0.5

0.875

0.005

sBP (mmHg)

153

138

155

145

<0.001

dBP (mmHg)

79

71

73

65

<0.001

To use S & P measures to guide therapy, one must know the S & P effects of anti-hypertensives. For example, Amlodipine increases SB, while beta-blockers decrease it; only Carvedilol among beta-blockers and ACEI/ARBs improve BR sensitivity (BRS), while non-Dihydropyridine CCBs decrease it. Sympatholytics worsen standing SW (except for Clonidine due to its central mechanisms of action and increased BRS. The central alpha action of Carvedilol, low dose SSRIs, and Tricyclics (TC) lower PE.

We utilized S & P measures to choose anti-hypertensive therapy as follows: 1) If S & P balance (resting SB) was normal, any therapy was chosen; 2) if SB was high due to a relative or absolute excess S, a sympatholytic was given; 3) If SB was high due to low P, an ACEI/ARB and/or Diltiazem was given; (r)Alpha-lipoic acid (rALA) can raise low P (33-6), so rALA was used as well. Upon standing, if no SW, any anti-hypertensive was chosen.  If SW was noted, sympatholytics were avoided (excepting Clonidine or Carvedilol) as were Diltiazem and diuretics; Amlodipine, Hydralazine, and/or rALA (which can raise S) were used.  If PE occurred upon standing, diuretics and sympatholytics were avoided, except low dose Carvedilol.  For PE upon standing, low dose SSRI or very low-dose TC were preferentially prescribed.Diuretics were used for dependent edema only since they don’t improve endothelial dysfunction; unlike rALA, ACEI/ARB, CCB, and 3rd generation beta-blockers.

CAD

Until recently, no pharmacologic chronic antianginal demonstrated MACE reduction.  RAN was introduced to 51 successive anginal CD patients (RANCD) [6].  A control group of 54 successive non-anginal CD patients (NORANCD) continued baseline therapy.  The mean study duration was 6.1 years, which included semi-annual P & S and yearly myocardial perfusion SPECT studies (MPI).  MACE was experienced by 29% RANCD patients vs. 46% NORANCD patients (p=0.0105).  The patients from both groups with abnormal P&S measures and MACE totaled 52% vs. 17% of those patients without MACE (p=0.0274). Abnormal MPI was demonstrated in 35% of those with abnormal P&S measures and MACE vs. 12% without MACE.

Sympathovagal balance (SB) was lower, indicating a higher, relative parasympathetic tone (known to be cardio-protective) in the RANCD group.  ACS occurred 4.5 times as often in NORANCD patients.  High SB occurred more frequently than abnormal MPI in CD patients experiencing MACE (Table 6).

Table 6: Final P&S measures (mean values).CAN=cardiac autonomic neuropathy; E/I=exhalation to inhalation ratio (unitless); NORANCD=coronary disease patients not treated with Ranolazine; RANCD=coronary disease patients treated with Ranolazine; RFa= respiratory frequency area in beats per minute squared (bpm2); SB=sympathovagal balance; VR=Valsalva ratio (unitless); 30:15=30 to 15 ratio (unitless).

 

RANCD (N=51)

NORANCD (N=54)

p-value

EVENT (N=40)

NO EVENT (N=65)

p-value

SB

1.99

2.34

0.0346

2.91

1.73

0.0105

RFa

0.85

0.73

0.0262

0.64

0.88

0.0268

E/I

1.11

1.09

0.137

1.12

1.08

0.0102

VR

1.22

1.09

0.0414

1.2

1.18

0.1516

30:15

1.16

1.12

0.552

1.11

1.16

0.0635

Hi SB

10/51 (19.6%)

14/54 (25.9%)

0.0439

17/40 (42.5%)

7/65 (10.8%)

0.0237

CAN

3/51 (5.9%)

5/54 (9.3%)

0.0791

4/40 (10%)

4/65 (6.2%)

0.0245

Testing for oxidative stress or dysautonomia associated with cardiovascular disease/mace in daily practice

Practically, hsCRP and Lp-PLA2 are routinely available for detecting oxidative stress-related inflammation. CV ANS testing is inexpensive(about $250), and useful for reducing MACE, since low P(especially <0.10bpm2) and/or SB>2.5, are treatable with therapeutic life-style changes and, if necessary, (r)ALA or ALA(a 50%-50% racemic mixture of (r)ALA and inactive (s)ALA) for low P and sympatholytics for high SB. ANS testing is indicated at least in:

  • CAD
  • CHF
  • DM I 5 yr. post onset(ADA Guideline)
  • DM II @ diagnosis(ADA Guideline)
  • New or uncontrolled HTN
  • Hyperlipidemia
  • FHx SCD,CAD
  • Males ≥ 40 yr. old
  • Postmenopausal females
  • Chronic inflammatory disorders
  • Obesity
  • Smokers

Conclusion

Oxidative stress dysautonomias, major adult cardiac diseases, and autonomic SCD are major common enemies of survival (Figure 1). When we consider SCD, we focus on acute coronary thrombosis or electrophysiologic studies, not dysautonomias. Perhaps a new screening paradigm, including emphasizing an autonomic profile, should be employed in most adults.

 The ANS has a major influence on MACE in patients with risk factors for CAD, CAD, CHF, HTN, NOH, and DMII. Now that we have accurate S and P measures, and targets to reach, such as SB ≤ 2.5 and P>0.10 bpm2, perhaps we can improve mortality and morbidity of our patients by routinely evaluating their ANS status(at least yearly), adjusting therapy accordingly.

References

  1. Murray G, Colombo J (2020) Maintenance (r)Alpha Lipoic Acid Reduces Sudden Cardiac Death 43% in Geriatric Diabetes II Patients. Clin Cardiol Cardiovasc Med 4:6-11.https://doi.org/10.33805/2639.6807.127
  2. Murray G, Colombo J (2014) Ranolazine Improves Autonomic Balance in Heart Failure When Added to Guideline – Driven Therapy. Heart Int 9: 59-65.https://doi.org/10.5301/heartint.5000215
  3. Murray G, Colombo J (2014) Ranolazine Preserves and Improves Left Ventricular Ejection Fraction When Added to Guideline – Driven Therapy in Congestive Heart Failure, Heart Int9:66-73.https://doi.org/10.5301/heartint.5000219
  4. Murray G, Colombo J (2019) Routine Measurement of Cardiac Parasympathetic and Sympathetic Nervous Systems Assists in Primary and Secondary Risk Stratification and Management of Cardiovascular Clinic Patients. ClinCardiol Cardiovasc Med 3:27-33.https://doi.org/10.33805/2639.6807.122
  5. Murray G, Colombo J (2020) The Feasibility of Blood Pressure Control with Autonomic-Assisted Hypertension Therapy Versus JNC 8 Therapy. Clin Cardiol Cardiovasc Med 4:1-5.https://doi.org/10.33805/2639.6807.126
  6. Murray G, Colombo J (2016) Ranolazine Therapy Reduces Non-ST-Segment-Elevation Myocardial Infarction and Unstable Angina in Coronary Disease Patients with Angina. Int J Angiol25:159-164.
  7. Aysin B, Columbo J, Aysin E (2007) Comparison of HRV analysis methods during orthostatic challenge: HRV with respiration or without? Annu Int Conf IEEE Eng Med Biol Soc2007:5047-50.https://doi.org/10.1109/iembs.2007.4353474
  8. Akselrod S, Gordon D,Ubel FA, Shannon DC, Berger AC, Cohen RJ (1981) Power spectrum analysis of heart fluctuations: a quantitative probe of beat to beat cardiovascular control. Science 213:220-22.https://doi.org/10.1126/science.6166045
  9. Akselrod S, Gordon D, Madwed JB, Snidman NC, Shannon DC, Cohen RJ (1985) Hemodynamic Regulation: investigation by spectral analysis.Am J Physiol 249:H867-875.
  10. Akselrod S, Elias S,Oz O, Cohen S (1987) Hemodynamic regulation in SHR:investigation by spectral analysis. Am J Physiol 253:H176-83.http://doi-org-443.webvpn.fjmu.edu.cn/10.1007/978-94-017-1057-2_5
  11. Akselrod S (1988) Spectral analysis of fluctuations in cardiovascular parameters: a quantitative tool for the investigation of autonomic control.Trends Pharmacol Sci9:6-9.https://doi.org/10.1016/0165-6147(88)90230-1
  12. Vinik A, Mitchell B, Maser R, Freeman R (2003) Diabetic Autonomic Neuropathy. Diabetes Care26:1553-1579.
  13. Murray G, Colombo J (2019) (R) Alpha Lipoic Acid: A New, Effective, Natural Treatment of Neurogenic Orthostatic Hypotension and Orthostasis. Int J Angiol 28:188-193.https://doi.org/10.1055/s-0038-1676957
  14. Umetani K, Singer DH, McCraty R, Atkinson M (1998) Twenty-four hour time domain heart rate variability and heart rate: Relations to age and gender over nine decades. JAm Coll Cardiol 31: 593- 601.https://doi.org/10.1016/s0735-1097(97)00554-8
  15. Curtis BM, O’Keefe JH (2002) Autonomic tone as a cardiovascular risk factor: The dangers of chronic fight or flight. Mayo Clin Proc 77: 45-54.https://doi.org/10.4065/77.1.45
  16. Kalla M, Herring N, Patterson D (2016) Cardiac sympatho-vagal balance and ventricular arrhythmia. Autonom Neurosci 199:20-27.
  17. Gomes M, Negrato C (2016) Alpha lipoic acid as a pleotropic compound with potential therapeutic use in diabetes and other chronic diseases. Diabetol Metab Syndr 6: 80-89.https://dx.doi.org/10.1186%2F1758-5996-6-80
  18. Maser R, Lenhard M (2007) An overview of the effect of weight loss on cardiovascular autonomic function. Curr Diabetes Rev 3: 204-211.https://doi.org/10.2174/157339907781368931
  19. Kurpesa M, Trzos E, Drozdz J, Bednarkiewicz Z, Krzeminska PM (2002) Myocardial ischemia and autonomic activity in dippers and non-dippers with coronary artery disease: Assessment of normotensive and hypertensive patients. Int J Cardiol 83: 133-142.https://doi.org/10.1016/s0167-5273(02)00031-1
  20. Kjeldsen S, Feldman R, Lisheng L, Mourad J, Chiang C, et al. (2004) Updated national and international hypertension guidelines:A review of current recommendations. Drugs 74:2033-51.
scroll up