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Challenging Traditional Cardiovascular Risk Assessment
Amy H. Savagian, MD • Jeffry Gerber, MD • Ivor Cummins, BE(Chem) CEng MIEI
Cholesterol & Cardiovascular Risk ConclusionsIntroduction
References
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sites: a potential mechanism for increased atherogenicity. J Lipid Res. 1998 Jun;39(6):
1263-73.
Go AS, Mozaffarian D et al. Heart Disease and Stroke Statistics: 2014 Update-A Report
From the American Heart Association Circulation. 2013;129:e28-e292.
Howard B, Rodriguez B, Bennett P et al. Prevention Conference VI: Diabetes and
Cardiovascular Disease-Writing Group I: Epidemiology. Circulation. 2002;105: e132-e137
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Feb;131(2):340S-3S.
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Small, dense low-density lipoprotein particles as predictor of the risk of ischemic heart
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Proceedings of Nutrition Society. 2002 May; 61 (2): 281-86. Review.
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Myocardial Infarction in Patients Receiving Cholesterol-Lowering Therapy. Arterioscler
Thromb Vasc Biol, 2004;24:1272-1277.
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• Insulin is an important biomarker for predicting
cardiovascular risk
• The current recommended approach to assess
cardiovascular disease is a cholesterol panel with
secondary questioning for risk factors.
• Insulin assays and calcium scores are far more
sensitive tools for the early assessment of
cardiovascular risk.
• Insulin resistance and hyperinsulinemia are
important predictors of risk compared to LDL-C.
• Further research is needed to show that lifestyle
changes including LCHF diet address hormonal
dysregulation and improve cardiovascular
outcomes.
Insulin & Cardiovascular Risk
Above 40
at 2hr:
Diabetes
In Situ
Below 30
at 2hr:
Non-
Diabetic
Recompiled from Kraft, Diabetes Epidemic & You. 2011
Metabolic Syndrome
Insulin Resistance Syndrome
3 of 5 Criteria for Diagnosis
Hyperinsulinemia
Disease No Disease Totals
Positive True Positives
6180
False Positives
186 6366
PPV
97%
Negative False Negatives
5764
True Negatives
2254 8018
NPV
28%
Totals 11944 2440 14384
Sensitivity
52%
Specificity
92%
Hyperglycemia
The Muddy Waters of Framingham
The Calcium Heart Scan
Calcium sees the Disease - Framingham Guesses
Goal is to Stabilize Calcium Progression
Metabolic Mayhem
Cardiovascular risk has been traditionally assessed by
measuring cholesterol (stored in lipoproteins) based on
Framingham methodology. We present a modern-day
approach that properly addresses the root causes,
including metabolic disease and hormonal dysregulation.
Tools including the insulin assay and cardiovascular
imaging such as the calcium heart scan prove useful.
Pathologist Joseph R. Kraft, MD performed over 16,000
five hour insulin assays on patients and found glycemic
measurement to be the inferior method. Based on
autopsy data, Dr. Kraft supposed the following: 



“Those identified with cardiovascular disease, not
identified with diabetes, are simply undiagnosed.”
Stanford University physician Gerald Reaven supported
this supposition based on his work that described the
insulin resistance syndrome or metabolic syndrome.
What are the best methods to assess CV risk?
The Ancestral Health Symposium
The Insulin Assay
In the late 1940s, in the small town of Framingham
Massachusetts scientists began following the
population to see who developed heart disease. They
tracked many variables, noting the ones that appeared
to be associated with bad outcomes and called them
risk factors. We know them today as ‘bad cholesterol’,
smoking, HTN, diabetes and so on. Since the original
Framingham work there have been updates to these
guidelines, various tools and risk calculators all based
on a central theme, to lower ‘bad cholesterol’,
including LDL-C, LDLp and ApoB. The question as
suggested by Framingham remains. Is cholesterol
innately toxic?
Framingham remains problematic. It is difficult to apply
population risk to the individual. Although diabetes is a
risk factor hyperglycemia is not properly measured,
insulin isn’t measured and diabetes as a contributing
factor is underemphasized as a result. Atherosclerosis
is now recognized as a complex metabolic disease
and ‘the muddy waters’ of Framingham fails to address
this.
Consider that cholesterol is vitally important to cell
function as it constitutes cell membranes and hormones.
Lipoprotein containing cholesterol serves to transport fat
soluble substances in a water based blood system.
Cholesterol helps to repair damaged blood vessels that
are exposed to the forces of inflammation, oxidative
stress and advanced glycation and can become
damaged itself. Perhaps cholesterol’s presence is a
consequence of metabolic disease rather than a cause.
It’s Metabolic Mayhem!
Although the mechanisms are vastly complex, insulin
signaling and hormonal dysregulation best describe
a t h e r o s c l e r o s i s a s a m e t a b o l i c d i s e a s e .
Hyperinsulinemia, hyperglycemia and insulin resistance
are intimately related, but it has been proposed that
hyperinsulinemia is the first insult.
Hyperinsulinemia alters lipid metabolism unfavorably.
Excess energy converted to fat (de novo lipogenesis)
leads to the overproduction of triglyceride rich
lipoproteins including VLDL, IDL and LDL and
circulating free fatty acids. In the hyperinsulinemic state
lipoprotein uptake is diminished, resulting in increased
circulating time and concentration of lipoprotein that
promotes inflammation and oxidative stress.
Hyperinsulinemia raises blood pressure by increasing
sympathetic tone, decreasing sodium and water
excretion in the kidneys, and directly vasoconstricting
blood vessels.
Hyperinsulinemia precedes insulin resistance
syndrome (arguably a dominant precursor for heart
disease) through many mechanisms including
atherogenic dyslipidemia, fatty liver, hyperglycemia,
visceral fat accumulation and adiposity.
Hyperinsulinemia may play a direct role in
atherogenesis though the interaction of receptors on
the blood vessel wall.
Here we describe hyperinsulinemia as a root cause and
yet it is not properly measured. The literature confirms
that with more diabetes we see more heart disease.
Recent estimates show that over half or the US
population are diabetic and pre-diabetic, an estimate
lacking insulin data. Fewer studies do properly
measure insulin and blood sugar - but when compared
to cholesterol, insulin predicts CV risk more precisely.
Helsinki policeman study is one example.
Arterioscler Thromb Vasc Biol. 2004;24:1272-1277

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8 8 16_gerber_savagian_poster_final

  • 1. Challenging Traditional Cardiovascular Risk Assessment Amy H. Savagian, MD • Jeffry Gerber, MD • Ivor Cummins, BE(Chem) CEng MIEI Cholesterol & Cardiovascular Risk ConclusionsIntroduction References Galeano NF1, Al-Haideri M, Keyserman F, Rumsey SC, Deckelbaum RJ. Small dense low density lipoprotein has increased affinity for LDL receptor-independent cell surface binding sites: a potential mechanism for increased atherogenicity. J Lipid Res. 1998 Jun;39(6): 1263-73. Go AS, Mozaffarian D et al. Heart Disease and Stroke Statistics: 2014 Update-A Report From the American Heart Association Circulation. 2013;129:e28-e292. Howard B, Rodriguez B, Bennett P et al. Prevention Conference VI: Diabetes and Cardiovascular Disease-Writing Group I: Epidemiology. Circulation. 2002;105: e132-e137 Krauss RM. Atherogenic lipoprotein phenotype and diet gene interactions. J Nutr. 2001 Feb;131(2):340S-3S. Krauss RM. Lipids and Lipoproteins in Patients With Type 2 Diabetes. Diabetes Care 2004 Jun; 27(6): 1496-1504. Lamarche B, Tchernof A, Moorjani S, Cantin B, Dagenais GR, Lupien PJ, Despres JP. Small, dense low-density lipoprotein particles as predictor of the risk of ischemic heart disease in men: prospective results from the Que´bec Cardiovascular Study. Circulation.. 1997;94:69-75. Mark A. Creager et al. Diabetes and Vascular Disease: Pathophysiology, Clinical Consequences, and Medical Therapy. Circulation 2003;108:1527-1532 Menke A, et al. Prevalence of and trends in diabetes among adults in the United States, JAMA. 2015;314(10):1021-1029. Parks EJ. Changes in fat synthesis influenced by dietary macronutrient content. Proceedings of Nutrition Society. 2002 May; 61 (2): 281-86. Review. Raggi P, Callister T, Shaw L. Progression of Coronary Artery Calcium and Risk of First Myocardial Infarction in Patients Receiving Cholesterol-Lowering Therapy. Arterioscler Thromb Vasc Biol, 2004;24:1272-1277. Reaven, G. Role of insulin resistance in human diabetes. Diabetes December 1988 vol. 37 no. 12 1595-1607. Toma L et al. Irreversibly glycated LDL induce oxidative and inflammatory state in human endothelial cells; added effect of high glucose. Biochem Biophys Res Commun. 2009 Dec 18;390(3):877-82. Volk BM, Kunces LJ, Friedenreich DJ et al. Effects of step-wise increase in dietary carbohydrate on circulating saturated fatty acids and palmitleic acid in adults with metabolic syndrome. PLoS One. 2014; 9 (11). Westman EC, Feinman RD, Mavropoulos JC, Vernon MC, Volek JS, Wortman JA, Yancy Jr. WS, Phinney SD. Low-carbohydrate nutrition and metabolism. Am J Clin Nutr 2007;86:276-84.. • Insulin is an important biomarker for predicting cardiovascular risk • The current recommended approach to assess cardiovascular disease is a cholesterol panel with secondary questioning for risk factors. • Insulin assays and calcium scores are far more sensitive tools for the early assessment of cardiovascular risk. • Insulin resistance and hyperinsulinemia are important predictors of risk compared to LDL-C. • Further research is needed to show that lifestyle changes including LCHF diet address hormonal dysregulation and improve cardiovascular outcomes. Insulin & Cardiovascular Risk Above 40 at 2hr: Diabetes In Situ Below 30 at 2hr: Non- Diabetic Recompiled from Kraft, Diabetes Epidemic & You. 2011 Metabolic Syndrome Insulin Resistance Syndrome 3 of 5 Criteria for Diagnosis Hyperinsulinemia Disease No Disease Totals Positive True Positives 6180 False Positives 186 6366 PPV 97% Negative False Negatives 5764 True Negatives 2254 8018 NPV 28% Totals 11944 2440 14384 Sensitivity 52% Specificity 92% Hyperglycemia The Muddy Waters of Framingham The Calcium Heart Scan Calcium sees the Disease - Framingham Guesses Goal is to Stabilize Calcium Progression Metabolic Mayhem Cardiovascular risk has been traditionally assessed by measuring cholesterol (stored in lipoproteins) based on Framingham methodology. We present a modern-day approach that properly addresses the root causes, including metabolic disease and hormonal dysregulation. Tools including the insulin assay and cardiovascular imaging such as the calcium heart scan prove useful. Pathologist Joseph R. Kraft, MD performed over 16,000 five hour insulin assays on patients and found glycemic measurement to be the inferior method. Based on autopsy data, Dr. Kraft supposed the following: 
 
 “Those identified with cardiovascular disease, not identified with diabetes, are simply undiagnosed.” Stanford University physician Gerald Reaven supported this supposition based on his work that described the insulin resistance syndrome or metabolic syndrome. What are the best methods to assess CV risk? The Ancestral Health Symposium The Insulin Assay In the late 1940s, in the small town of Framingham Massachusetts scientists began following the population to see who developed heart disease. They tracked many variables, noting the ones that appeared to be associated with bad outcomes and called them risk factors. We know them today as ‘bad cholesterol’, smoking, HTN, diabetes and so on. Since the original Framingham work there have been updates to these guidelines, various tools and risk calculators all based on a central theme, to lower ‘bad cholesterol’, including LDL-C, LDLp and ApoB. The question as suggested by Framingham remains. Is cholesterol innately toxic? Framingham remains problematic. It is difficult to apply population risk to the individual. Although diabetes is a risk factor hyperglycemia is not properly measured, insulin isn’t measured and diabetes as a contributing factor is underemphasized as a result. Atherosclerosis is now recognized as a complex metabolic disease and ‘the muddy waters’ of Framingham fails to address this. Consider that cholesterol is vitally important to cell function as it constitutes cell membranes and hormones. Lipoprotein containing cholesterol serves to transport fat soluble substances in a water based blood system. Cholesterol helps to repair damaged blood vessels that are exposed to the forces of inflammation, oxidative stress and advanced glycation and can become damaged itself. Perhaps cholesterol’s presence is a consequence of metabolic disease rather than a cause. It’s Metabolic Mayhem! Although the mechanisms are vastly complex, insulin signaling and hormonal dysregulation best describe a t h e r o s c l e r o s i s a s a m e t a b o l i c d i s e a s e . Hyperinsulinemia, hyperglycemia and insulin resistance are intimately related, but it has been proposed that hyperinsulinemia is the first insult. Hyperinsulinemia alters lipid metabolism unfavorably. Excess energy converted to fat (de novo lipogenesis) leads to the overproduction of triglyceride rich lipoproteins including VLDL, IDL and LDL and circulating free fatty acids. In the hyperinsulinemic state lipoprotein uptake is diminished, resulting in increased circulating time and concentration of lipoprotein that promotes inflammation and oxidative stress. Hyperinsulinemia raises blood pressure by increasing sympathetic tone, decreasing sodium and water excretion in the kidneys, and directly vasoconstricting blood vessels. Hyperinsulinemia precedes insulin resistance syndrome (arguably a dominant precursor for heart disease) through many mechanisms including atherogenic dyslipidemia, fatty liver, hyperglycemia, visceral fat accumulation and adiposity. Hyperinsulinemia may play a direct role in atherogenesis though the interaction of receptors on the blood vessel wall. Here we describe hyperinsulinemia as a root cause and yet it is not properly measured. The literature confirms that with more diabetes we see more heart disease. Recent estimates show that over half or the US population are diabetic and pre-diabetic, an estimate lacking insulin data. Fewer studies do properly measure insulin and blood sugar - but when compared to cholesterol, insulin predicts CV risk more precisely. Helsinki policeman study is one example. Arterioscler Thromb Vasc Biol. 2004;24:1272-1277