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Tue22812 - Lipidology - Pamela Morris

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    ATP IV, CVD Risk Assessment,

    and Dyslipidemia: Update 2012

    Pamela B. Morris, MD, FACC, FACP, FACPM, FAHA

    Diplomate, American Board of Clinical Lipidology

    Director, Seinsheimer Cardiovascular Health Program

    Co-Director, Womens Heart Care

    Medical University of South Carolina

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    Points of Discussion

    New guidelines on obesity, hypertension, andhyperlipidemia

    ATP IV

    CVD Risk Assessment

    NLA position paper on role of biomarkers in CVD risk

    assessment

    Low levels of LDL-C

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    Upcoming NCEP ATP IVGuidelines:

    What Can We Expect?

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    Evolution of NHLBI Supported Guidelines

    Angiographictrials (FATS,

    POSCH, SCOR,

    STARS, Ornish,

    MARS)

    Meta-analyses(Holme, Rossouw)

    NCEP ATP I1988

    NCEP ATP II1993

    NCEP ATP III2001

    HPSPROVE-IT

    ASCOT-LLA

    PROSPERALLHAT-LLT

    Updated NCEPATP III2004

    FraminghamMRFIT

    LRC-CPPT

    CoronaryDrug ProjectHelsinki Heart

    CLAS

    4SWOSCOPS

    CARE

    LIPIDAFCAPS/TexCAPS

    TNTIDEAL

    AHA/ACCUpdate

    20062* Prev.

    Guidelines

    More Intensive Treatment Recomm endat ions

    NHLBI = National Heart, Lung, and Blood Institute.

    NCEP ATP = National Cholesterol Education Panel Adult Treatment Panel.

    AHA = American Heart Association.ACC = American College of Cardiology.

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    AHA/ACC guidelinesfor patients with CHD*,2

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    NHLBI Integrated Cardiovascular RiskReduction Guidelines

    Cardiovascular Risk Reduction Guidelines inAdults:

    Cholesterol Guideline Update (ATP IV)

    Hypertension Guideline Update (JNC 8)

    Obesity Guideline Update (Obesity 2)

    The National Heart, Lung, and Blood Institute is leading the development of an integrated set of cardiovascular riskreduction guidelines for adults using state-of-the-art methodology.

    Cholesterol, hypertension, and obesity guidelines are being updated, and an integrated cardiovascular risk reductionguideline is being developed.

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    Methodology

    NHLBI expert panels are putting final touches on new guidelinesfor

    Adult obesity

    Hypertension

    Hyperlipidemia

    New methodology discussed at AHA Scientific Sessions 2011

    Most comprehensive review of the literature ever with a systematicreview process to evaluate evidence and establish recommendations

    Goes well beyond anything NHLBI has ever attempted

    Recommendations of effective methods of implementation Guidelines that will improve lives and sit on the shelf unused

    High priority on conflicts of interest

    Integrated guidelinesmultiple guidelines in a common format

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    Methodology: Whats New

    Each committee created a list of critical questions its guidelineswould answer

    Exhaustive literature review

    Relevant articles graded for the quality of evidence

    Only good to fair articles included

    Distilled each qualified paper into an evidence statement to be used increation of recommendations

    Less than 50-60% of papers identified as relevant were considered ofusable quality

    Stronger emphasis on randomized clinical trials

    Limited use of expert opinion

    Concerned effort to SIMPLIFY guidelines

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    Methodology: Whats Similar

    Focus on LDL-Cholesterol (LDL-C)

    Greatest intensity of treatment for patients at highestrisk

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    Methodology

    Obesity Panel Critical Questions What are the risks of being overweight?

    What are the benefits of weight loss?

    What amount of weight loss is necessary to achieve specific benefits?

    What is the most effective diet for weight loss? What is the evidence for short- and long-term efficacy of a comprehensive

    lifestyle approach?

    What are the benefits of obesity surgery?

    Guidelines will NOT address pharmaceutical interventions due tolack of sufficient evidence

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    Methodology

    JNC 8 Critical Questions

    1. Does initiating antihypertensive pharmacological therapy atspecific BP thresholds improve health outcomes? When should youinitiate treatment?

    2. Does treatment with an antihypertensive pharmacological therapyto a specified BP goal lead to improvements in health outcomes?How low should you go?

    3. Do various antihypertensive drugs or drug classes differ in

    comparative benefits and harms on specific health outcomes? Howdo you get there?

    The antihy pertensive gu idel ines are only usin g random ized con trol ledtr ial evid ence

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    ATP IV Report

    Aim:

    Assist clinicians in prevention to make decisions oncholesterol treatment by developingrecommendations based on a detailed study of:

    Randomized clinical trials (RCTs)

    High quality meta-analyses of RCTs

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    Expert Panel Membership

    Co-Chairs

    Alice H. Lichtenstein, D.Sc.Tufts University

    Boston, Massachusetts

    Neil Stone, M.D.

    Northwestern University School of MedicineChicago, Illinois

    Detection, Evaluation, and Treatment of HighBlood Cholesterol in Adults (Adult Treatment Panel IV)

    D t ti E l ti d T t t

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    C. Noel Bairey Merz, M.D.

    University of California, Los Angeles

    Conrad Blum, M.D.

    Columbia University

    Robert H. Eckel, M.D.

    University of Colorado, Denver

    Anne Carol Goldberg, M.D., FACP, FAHA

    Washington University

    Ronald M. Krauss, M.D.

    Children's Hospital Oakland

    Research Institute

    Donald M. Lloyd-Jones, M.D., Sc.M.

    Northwestern University

    Patrick McBride, M.D., M.P.H.

    University of Wisconsin

    Daniel Rader, M.D.

    University of Pennsylvania

    Jennifer Robinson, M.D, M.P.H.

    University of Iowa

    Frank M. Sacks, M.D.

    Harvard UniversitySchool of Public Health

    J. Sanford Schwartz, M.D.

    University of Pennsylvania

    Sidney C. Smith, Jr. M.D.

    University of North Carolina

    Karol Watson, M.D., Ph.D.

    University of California at Los Angeles

    Peter W. F. Wilson, M.D.

    Emory University School of Medicine

    Detection, Evaluation, and Treatmentof High Blood Cholesterol in Adults

    (Adult Treatment Panel IV)

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    ATP IV Developing In-depth Answers to TheseCritical Questions

    Critical question 1: What evidence suppo rts LDL-Cgoals for secon dary prevent ion?

    Critical question 2: What evidence suppo rts LDL-Cgoals for pr imary prevent ion?

    Critical question 3: What is the impact of the majorcho lestero l drugs on eff icacy and safety?

    Diet and exercise are being addressed separately by the Lifestyle WorkingGroup

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    Critical Question 1

    What evidence supports LDL-c goals fo rsecondary prevent ion?

    This question being evaluated in all adults andspecific subpopulations of interest

    Women

    Diabetics

    Metabolic syndrome

    Chronic kidney disease

    Current smoking

    Baseline LDL-c

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    Critical Question 1: Background

    What evidence supports LDL-c go als for secondaryprevent ion?

    ATP III recommended LDL-c goals of

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    Critical Question 1: Publications screened

    Publications

    Screened

    2221

    Included

    62

    Good quality

    13

    Fair quality

    29

    Total ABSTRACTED

    42

    Poor quality

    20

    Excluded

    2159

    Studies excluded if they

    did not meet pre-specified

    inclusion/exclusion

    criteria

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    Critical Question 2

    What evidence supports LDL-c goals fo rpr imary prevent ion?

    This question being evaluated in all adults andspecific subpopulations of interest

    Diabetics 10-year CHD risk categories: 20%

    For all adults and each of the above groups

    Men and women separately

    Adults 18-64 years of age and > 65 years

    Men 18-35 years and women 18-45 years

    Race/ethnicity

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    Critical Question 2: Publications screened

    Publications

    Screened

    1958

    Included

    20

    Good quality

    7

    Fair quality

    12

    Total ABSTRACTED

    19

    Poor quality

    1

    Excluded

    1938

    Studies excluded if they

    did not meet pre-specified

    inclusion/exclusion

    criteria

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    Critical Question 3

    What is the impact of the major cholestero l drug s oneff icacy /safety in the popu lat ion?

    Baseline untreated LDL-c

    160 md/dl (including patients with familialhypercholesterolemia)

    Triglycerides > 150 mg/dl

    HDL-c

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy adjustingdose to risk

    hs-CRP

    Alternative treatment targets: Role of advanced lipoproteintesting

    Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis

    " Let 's pu t i t th is way. If wh at people are doing now is correct , and th ere's no ch angerecomm ended, then we're f ine. I f we do come up w i th very su bstant ial changes, we w antto be very careful that they are strongly based in evidence. Dr. Sidney Smith, UNC

    Chapel Hil l

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP

    Alternative treatment targets: Role of advanced lipoproteintesting

    Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP Alternative treatment targets: Role of advanced lipoprotein

    testing

    Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP ? Alternative treatment targets: Role of advanced lipoprotein

    testing

    Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP ? Alternative treatment targets: Role of advanced lipoprotein

    testing ? Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP ? Alternative treatment targets: Role of advanced lipoprotein

    testing ? Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP ? Alternative treatment targets: Role of advanced lipoprotein

    testing ? Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis ?

    Issues for ATP-IV: ??????

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    CVD Risk Assessment

    More stringent targets versus a fixed dose strategy

    hs-CRP ? Alternative treatment targets: Role of advanced lipoprotein

    testing ? Apo B, LDL-P, non HDL-C

    Direct targeting of HDL-C and triglycerides

    Role of fibrates, niacin, ezetimibe, BAS

    Role of imaging of subclinical atherosclerosis ?

    Issues for ATP-IV: ??????

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    Cardiovascular Risk Prediction

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    Continuum of DiseaseAsymptomatic

    Disease-freeRisk factors may be

    present

    Asymptomatic

    Subclinical disease present

    Onset of symptoms

    Heart attack, stroke,

    angina

    Risk factoridentification

    Preventivestrategies

    Early disease detection

    Aggressive preventivestrategies

    Primary PreventionSecondaryPrevention

    Secondary preventivestrategies

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    Cardiovascular Risk Prediction

    CVD is leading cause of death in US and entire westernworld

    At age 50 the lifetime risk of CVD is

    50% for men

    39% for women

    Variations due to risk factor burden

    NCEP ATP III (and ATP IV ?)

    Risk calculation based on assumption that the intensity oftreatment and risk factor reduction should match the level ofabsolute predicted risk.

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    Office-based Assessment(National Cholesterol Education Program, American Heart Association, American

    College of Cardiology)

    Risk prediction algorithm derived from the FraminghamHeart Study

    Age

    Total cholesterol

    HDL

    Blood pressure

    Smoking

    Current Guidelines

    JAMA 2001; 285: 2486-2497

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    2004 PPS

    Point Total 10-Year Risk Point Total 10-Year Risk

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    2004 PPS

    Note: Determine the 10-year absolute risk for hard CHD(MI and coronary death) from point total.

    Point Total 10-Year Risk Point Total 10-Year Risk

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    Women Hardly Reach 10% FRS by Traditional Risk

    Factor Assessment

    0%

    20%

    40%

    60%

    80%

    100%

    30-39 40-49 50-59 60-69 70-79

    Age (years)

    Perce

    nt >20%

    10-20%6-10%

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    How Good Is NCEP III At Predicting MI?JACC 2003:41 1475-9

    222 patients with 1stacute MI, no prior CADmen

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    2

    Cardiovascular Risk Prediction: Basic Concepts, Current Status, and Future Directions.

    Lloyd-Jones, Donald; MD, ScM Circulation. 121(15):1768-1777, April 20, 2010.DOI: 10.1161/CIRCULATIONAHA.109.849166

    Currently Available CVD Risk Prediction Scores

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    2

    Cardiovascular Risk Prediction: Basic Concepts, Current Status, and Future Directions.

    Lloyd-Jones, Donald; MD, ScM Circulation. 121(15):1768-1777, April 20, 2010.DOI: 10.1161/CIRCULATIONAHA.109.849166

    Currently Available CVD Risk Prediction Scores

    5- and 10-year risk estimates are most widely used

    Risk score is converted into an absolute probability ofdeveloping CVD within that time frame

    Consideration of 10-year risk identifies patients most likely

    to benefit from therapy in the near term

    Improves cost-effectiveness and safety of therapy

    FRS performs poorly in women and younger men

    Algorithm heavily weighted by age

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    2

    Cardiovascular Risk Prediction: Basic Concepts, Current Status, and Future Directions.

    Lloyd-Jones, Donald; MD, ScM Circulation. 121(15):1768-1777, April 20, 2010.DOI: 10.1161/CIRCULATIONAHA.109.849166

    Currently Available CVD Risk Prediction Scores

    Risk for CVD associated with traditional risk factors iscontinuous

    No obvious natural thresholds

    Thresholds used by ATP III for clinical decision making are

    based on population data and cost-effectiveness estimatesin an era when statins were more expensive

    Majority of events occur in the intermediate risk population(simply because that is where the vast majority of the

    population at risk is found.)

    Risk Classification Algorithm Used in the ATP-III

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    Cardiovascular Risk Prediction: Basic Concepts, Current Status, and Future Directions.

    Lloyd-Jones, Donald; MD, ScM Circulation. 121(15):1768-1777, April 20, 2010.DOI: 10.1161/CIRCULATIONAHA.109.849166

    Risk Classification Algorithm Used in the ATP-III

    2004 Update

    Likely that future guidelines will choose lower thresholds fortherapy in light of

    Demonstrated benefit in populations at predicted risk

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    Berger JS et al, JACC 2010;55:1169

    Newer CVD Risk Prediction Algorithms

    Concept of vascular age from CAC or CIMT

    Lifetime risk

    30 year risk

    Composite endpoints (all CVD, PAD, stroke, heart failure,include angina/revascularization, fatal and nonfatal)

    Validation/calibration in other populations

    Inclusion of family history, hs-CRP, HgbA1C, socialdeprivation, BMI

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    Effectiveness*-Based Guidelines for Cardiovascular DiseasePrevention in Women2011 Update

    *(therapies with sufficient evidence of clinical benefit for CVD outcomes)

    American Heart Association Guidelines

    Endorsed by the American Col lege of Cardio logy, American

    Col lege of Physicians, AMWA, WomenHeart , American Soc iety

    for Prevent ive Cardio logy , and others

    Mosca, L. et al. Circulation 2011;123:1243-1262

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    Wh i i k ?

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    Who is at risk among women?

    Highest risk women

    Known heart disease, stroke,vascular disease (PAD or

    carotid disease), or aneurysm ESRD or CKD

    Diabetes

    10 yr predicted CVD risk >10%

    Mosca, L. et al. Circulation 2011;123:1243-1262

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    Who is at risk among women?

    At-risk women

    1 or more of the following risk factors

    Smoking

    Poor diet

    Sedentary

    Obesity, especially if belly fat

    Family history (female < 65, male < 55)

    High blood pressure (>120/80)

    Abnormal lipids (high bad cholesterol,low good cholesterol, high triglycerides)

    Metabolic syndrome

    Poor exercise tolerance

    Subclinical atherosclerosis

    Systemic autoimmune collagen-vasculardisorder (SLE, RA)

    Hx of preeclampsia, gestational DM

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    Who is at risk among women?

    Optimal risk women

    Ideal healthy lifestyle

    No risk factors

    Only 1 ou t of

    3 women!

    Wh i t i k ?

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    Who is at risk among women?

    Optimal risk women

    Total cholesterol

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    Prediction of Lifetime Risk forCardiovascular Disease by Risk Factor

    Burden at 50 Years of Age

    Donald M. Lloyd-Jones et al

    Circulation 2006;113:791-798

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    Lloyd-Jones et al Circulation 2006;113:791-798

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    Generic Prevention Drugs

    Drug Monthly CostStatin $4.00

    Beta blocker $4.00

    Metformin $4.00

    ACE-inhibitor HCTZ $4.00

    Amlodipine $4.00

    All national discount pharmacy chains

    Lower price ($10) for 3 months supply

    Can potentially reduce cost further with a pill cutter

    Beyond Cholesterol: Predicting Cardiovascular Risk In

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    Beyond Cholesterol: Predicting Cardiovascular Risk Inthe 21stCentury

    Cardiovascular Risk

    LipidsHTN

    DiabetesBehavioral

    HemostaticThrombotic

    Inflammatory Genetic

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    BiomarkerPopulation-based approximations

    Lower risk Intermediate risk Greater risk

    CRP, mg/L 3.0

    Lp-PLA2, ng/mL

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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    Figure 4

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Source: Journal of Clinical Lipidology 2011; 5:338-367(DOI:10.1016/j.jacl.2011.07.005 )

    http://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstracthttp://www.lipidjournal.com/article/S1933-2874(11)00672-6/abstract
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    Is there risk or benefit associated with unusuallyl l l f LDL C?

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    low levels of LDL-C?

    Can LDL Be Too Low?

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    Can LDL Be Too Low?

    A safety analysis of theintensive treatment arm of

    PROVE IT - TIMI 22

    Stephen D Wiviott, David A Morrow, Richard Cairns, Marc A Pfeffer, and Christopher P Cannon for the

    PROVE IT - TIMI 22 Investigators

    R lt Di t ib ti f 4 M th LDL Ch l t l L l

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    71/80

    3.2

    1.4 2.1 3.2

    5.6

    8.3

    13.3

    18 19.2

    15.2

    8.2

    1.7

    0.5 0.10

    5

    10

    15

    20

    25

    >13

    0

    120-13

    0

    110-12

    0

    100-11

    0

    90-100

    80-90

    70-80

    60-70

    50-60

    40-50

    30-40

    20-30

    10to20

    100 80-100 60-80 40-60

  • 8/10/2019 Tue22812 - Lipidology - Pamela Morris

    73/80

    0 1 2

    40 - 60

    >60 - 80

    >80 - 100

    (multivariable adjustment)

    *Age, gender, DM, prior MI, baseline LDL

    0.80 (0.59, 1.07)

    0.67 (0.50, 0.92)

    0.61 (0.40, 0.91)

    Hazard Ratio

  • 8/10/2019 Tue22812 - Lipidology - Pamela Morris

    74/80

    Abetalipoproteinemia (ABL) and familialhypobetalipoproteinemia (FHBL)

    Rare inborn errors of lipoprotein metabolism.

    ABL occurs in less than 1 in 1 million persons.

    FHBL occurs in approximately 1 in 500 heterozygotes and inabout 1 in 1 million homozygotes.

    Approximately one third of ABL and FHBL cases result fromconsanguineous marriages.

  • 8/10/2019 Tue22812 - Lipidology - Pamela Morris

    75/80

    Abetalipoproteinemia

  • 8/10/2019 Tue22812 - Lipidology - Pamela Morris

    76/80

    Abetalipoproteinemia

    Rare disease

    LDL and very low-density lipoprotein (VLDL) are essentially absent.

    Characterized by fat malabsorption, spinocerebellar degeneration,acanthocytic red blood cells, and pigmented retinopathy.

    Homozygous autosomal recessive mutation in the gene for

    microsomal triglyceride transfer protein (MTP).

    MTP mediates intracellular lipidtransport in the intestine and liver

    Ensures the normal function of chylomicrons (CMs) in enterocytesand of VLDL in hepatocytes.[2]

    Abetalipoproteinemia

    http://www.medscape.com/viewarticle/577153http://www.medscape.com/viewarticle/577153
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    77/80

    Abetalipoproteinemia

    Affected infants may appear normal at birth, but by the first month

    of life, they develop steatorrhea, abdominal distention, and growthfailure.

    Children develop retinitis pigmentosa and progressive ataxia,

    Death usually occurring by the third decade.

    Early diagnosis, high-dose vitamin E(tocopherol) therapy, andmedium-chain fatty acid dietary supplementation may slow theprogression of the neurologic abnormalities.

    Obligate heterozygotes (ie, parents of patients with ABL) have nosymptoms and no evidence of reduced plasma lipidlevels.

    Abetalipoproteinemia

    http://www.medscape.com/viewarticle/574061http://www.medscape.com/viewarticle/560247http://www.medscape.com/viewarticle/560247http://www.medscape.com/viewarticle/574061
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    78/80

    Abetalipoproteinemia

    Clinical symptoms are the result of defects in the absorption and

    transport of vitamin E.

    Vitamin E transported from the intestine to the liver, where it isrepackaged and incorporated into the assembling VLDL particle bythe tocopherol-binding protein.

    In the circulation, VLDL is converted to LDL, and vitamin E istransported by LDL to peripheral tissues and delivered to cells viathe LDL receptor.

    Patients with ABL are markedly deficient in vitamin E

    Most of the major clinical symptoms, especially those of the

    nervous system and retina, are primarily due to vitamin Edeficiency.

    Familial Hypobetalipoproteinemia

  • 8/10/2019 Tue22812 - Lipidology - Pamela Morris

    79/80

    Familial Hypobetalipoproteinemia

    Rare autosomal dominant disorder of apoB metabolism.

    Most cases of known origin result from mutations in the APOBgene, involving 1 or both alleles.

    More than 30 mutations have been described.

    Mutations result in impaired synthesis of apoB-containing

    lipoproteins, or increased catabolism of these proteins. Heterozygotes may have LDL cholesterol levels less than or equal

    to 50 mg/dL, but they often remain asymptomatic and have normallife spans.

    In the homozygous state, the absence of apoB leads to significant

    impairment of intestinal CM formation and impaired absorption offats, cholesterol, and fat-soluble vitamins.

    Leads to the development of degenerative neurologic disease.

    Acquired Low LDL C

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    80/80

    Acquired Low LDL-C

    Secondary causes

    Occult malignancy

    Malnutrition

    Liver disease

    Chronic alcoholism.

    These conditions must be excluded before thediagnosis of FHBL can be made.


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