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Heart Disease in Women

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<strong>Women</strong> and <strong>Heart</strong> <strong>Disease</strong>:<br />

What we know,<br />

What we th<strong>in</strong>k we know, and<br />

What we know we don’t know<br />

Janice Preslar BS, NCT<br />

Manager of Nuclear Cardiology


Why is <strong>Women</strong>’s Health Important?<br />

• <strong>Women</strong> make up 51% of the population<br />

• 58% of persons 65 years and older are women<br />

• <strong>Women</strong> <strong>in</strong> the middle years (ages 45-64)<br />

comprise the largest population<br />

• 40% of the total American population<br />

• 75% of all caregivers are women<br />

• 2.3 M grandparents rais<strong>in</strong>g grandchildren<br />

• 63% are women


<strong>Heart</strong> <strong>Disease</strong> is the No.1 Killer <strong>in</strong><br />

<strong>Women</strong><br />

• 1 <strong>in</strong> 4.6 women died of cancer vs. 1 <strong>in</strong> 2.6 died of CVD<br />

• CVD caused about 1 death a m<strong>in</strong>ute among females<br />

• >460,000 female lives <strong>in</strong> 2004<br />

Chronic Lower<br />

Respiratory<br />

<strong>Disease</strong>s<br />

Diabetes<br />

Mellitus<br />

Influenza and<br />

Pneumonia<br />

Cancer<br />

Cardiovascular<br />

<strong>Disease</strong>s


Awareness Gap<br />

• 31% identified heart disease or stroke as the lead<strong>in</strong>g<br />

cause of death<br />

• 73% -- risk of develop<strong>in</strong>g HD by age 70 was


CV Mortality Trends


Why the Disparity?


Time to Treatment<br />

• <strong>Women</strong> wait longer than men to go to the ED<br />

when hav<strong>in</strong>g an ACS<br />

• Physicians are slower <strong>in</strong> recogniz<strong>in</strong>g ACS <strong>in</strong><br />

women than <strong>in</strong> men<br />

• 66% of ED and critical care cl<strong>in</strong>icians<br />

• Primarily assessed for CP <strong>in</strong> persons with<br />

suspected AMI


Different communication patterns<br />

• <strong>Women</strong> are more likely to give full account of<br />

symptoms whereas men tend to focus on what<br />

is problematic<br />

PAIN<br />

Fatigue, dyspnea,<br />

weakness, upset stomach,<br />

hip pa<strong>in</strong>, chest ache, etc.


Def<strong>in</strong>itions are Faulty<br />

• Normative standards for symptoms<br />

of ACS were set <strong>in</strong> men


Chest pa<strong>in</strong> symptoms<br />

are less accurate and less precise<br />

predictors of<br />

obstructive CAD <strong>in</strong> women


<strong>Women</strong> and ACS<br />

• M<strong>in</strong>ority present with chest pa<strong>in</strong> symptoms<br />

• 30% of women with ACS reported CP<br />

• More women present with constitutional symptoms<br />

rather than chest pa<strong>in</strong><br />

Milner et al, Am J Cardiol 1999; 84: 396.


<strong>Women</strong> with ACS<br />

• 95% reported prodromal symptoms<br />

• Unusual fatigue<br />

• Sleep disturbance<br />

• Shortness of breath<br />

• Indigestion<br />

• Anxiety<br />

• Prodromal symptoms were the most important<br />

predictor of acute coronary syndrome


67 yr. old female: Atypical CP<br />

• Risk Factors:<br />

DM,<br />

FH of CAD,<br />

Sedentary<br />

Overweight


Rest<br />

Stress<br />

Lateral<br />

Inferior Septal Anterior


Before<br />

After


Implications<br />

• More women are misdiagnosed and discharged<br />

from ER<br />

• More women have unrecognized AMI


Mortality after Unrecognized MI<br />

Unrecognized MI<br />

Recognized MI<br />

Sheifer et al, Ann Intern Med 2001.


Chest pa<strong>in</strong> symptoms<br />

are less accurate and less precise<br />

predictors of<br />

obstructive CAD <strong>in</strong> women


Coronary Atherosclerosis<br />

Bostrom et al, J Cl<strong>in</strong> Invest 1993.


Obstructive Angiographic CAD


Nonobstructive CAD Rates <strong>in</strong> ACS Trials<br />

Prevalence<br />

Rate (%)<br />

Anderson et al, Circulation 2007.


Nonobstructive Angiographic CAD<br />

Escolar et al, Can Med Assoc J 2006.


Gender Differences <strong>in</strong><br />

Arterial Remodel<strong>in</strong>g<br />

Constrictive Remodel<strong>in</strong>g<br />

Expansive Remodel<strong>in</strong>g


Gender Differences <strong>in</strong><br />

Arterial Remodel<strong>in</strong>g<br />

Nissen & Yock, Circulation 2001.


<strong>Women</strong> and CAD<br />

• >50% of women (vs. 15% men) with chest<br />

pa<strong>in</strong> undergo<strong>in</strong>g coronary angiography are<br />

found to have normal or near normal<br />

coronaries<br />

• MPI false positive or real ?


“False-positive” myocardial perfusion sc<strong>in</strong>tigraphy f<strong>in</strong>d<strong>in</strong>gs<br />

<strong>in</strong> patients with angiographically normal coronary arteries: 1<br />

• 20 patients studied with chest pa<strong>in</strong>, abnormal<br />

exercise ECG, abnormal MPI, and normal<br />

angiographic f<strong>in</strong>d<strong>in</strong>gs to exam<strong>in</strong>e the differences <strong>in</strong><br />

disease detection between three modalities<br />

1. Verna E, et al. J Nucl Med. 2000;41(12):1935–1940.


False-Positive? 1<br />

Repr<strong>in</strong>ted with permission from Journal of Nuclear Medic<strong>in</strong>e<br />

1. Verna E, et al. J Nucl Med. 2000;41(12):1935–1940.


Event Rate <strong>in</strong> Patients with<br />

“Nonobstructive CAD”<br />

Bugiard<strong>in</strong>i et al, Arch Intern Med 2006.


Event-free Survival from CV Events<br />

by CAD and Persistent Chest Pa<strong>in</strong><br />

*CAD def<strong>in</strong>ed as coronary stenosis ≥50%<br />

<strong>in</strong> at least 1 major epicardial coronary artery<br />

Johnson et al, Eur <strong>Heart</strong> J 2006.


Impact<br />

• Many women with ang<strong>in</strong>a are told that they do<br />

not have significant heart disease<br />

• May lead to worse adverse outcomes as<br />

diagnostic and treatment strategies are focused on<br />

identification of “obstructive” CAD<br />

• Offered no specific treatment other than<br />

reassurance


<strong>Women</strong> and Coronary Symptoms<br />

Ischemic mechanism<br />

related to coronary microvascular or macrovascular<br />

endothelial dysfunction


Abnormal Vascular Function<br />

• Seen <strong>in</strong> 47% of women with “normal” or “near<br />

normal” angiograms<br />

• 59% who had abnormal vasomotor response to ACh<br />

cont<strong>in</strong>ued to have CP and developed CAD on follow-up<br />

• <strong>Women</strong> with normal vasomotor response had complete<br />

resolution of symptoms at follow-up


Abnormal Vascular Function<br />

• Not well understood<br />

• Plays a central role <strong>in</strong> genesis of symptoms and<br />

ischemia <strong>in</strong> women<br />

• More prevalent <strong>in</strong> women and so places a woman<br />

at relatively higher risk than her male counterpart<br />

for any amount of CAD


Mental Stress-Induced<br />

Myocardial Ischemia<br />

• Young et al (1991) -- mental stress - paradoxical<br />

arterial vasoconstriction <strong>in</strong> diseased arteries.<br />

• Patients with CAD often show an exaggerated<br />

systemic response to stress.<br />

• Hemodynamic changes with mental stress occur<br />

suddenly as opposed to exercise.


Mental Stress-Induced<br />

Myocardial Ischemia<br />

• Known CAD, normal exercise or<br />

adenos<strong>in</strong>e stress nuclear test<br />

• Hemodynamic Changes<br />

• SBP: 130.1 ± 13mmHg to 190 ± 26mmHg<br />

• DBP: 76.8 ± 5mmHg to 103.2 ± 12mmHg<br />

• HR: 64.3 ± 9 bpm to 86 ± 14 bpm<br />

• N=21 – 29% had mental-stress <strong>in</strong>duced<br />

reversible perfusion defect<br />

Ramachandruni S et al, J Am Coll Cardiol 2006.


<strong>Women</strong> and Coronary Symptoms<br />

• How can vascular dysfunction be tested?<br />

Quantitative heart<br />

blood flow at rest and<br />

stress


Cardiac P.E.T.


<strong>Women</strong> and Coronary Symptoms<br />

• Is vascular dysfunction <strong>in</strong> the absence of<br />

flow limit<strong>in</strong>g stenosis a treatment target?<br />

• What treatment?


Aggressive Risk<br />

Factor Modification<br />

+<br />

Exercise Tra<strong>in</strong><strong>in</strong>g


Aggressive Risk<br />

Factor Modification<br />

Further Def<strong>in</strong>e Risks


• Fram<strong>in</strong>gham<br />

Risk Stratification<br />

Risk Scores<br />

• Age<br />

• LDL/Cholesterol<br />

• HDL<br />

• BP<br />

• DM<br />

• Smoker<br />

= 10 year risk<br />

Wilson et al, Circulation 1998.


Risk Stratification<br />

• Limitations of Fram<strong>in</strong>gham score<br />

• Based on white population<br />

• Did not take family history <strong>in</strong>to account<br />

• 40% of women with a family history of early CAD<br />

classified as low risk but had detectable coronary<br />

calcium<br />

• 12% had CAC >100, and 6% had CAC ≥ 400<br />

• 32% had significant subcl<strong>in</strong>ical atherosclerosis and<br />

17% ranked above the 90 th percentile


Risk Stratification<br />

• Reynolds Risk Score<br />

• Web based calculator that uses 6 questions relat<strong>in</strong>g to:<br />

• Age<br />

• Smok<strong>in</strong>g status<br />

• Systolic BP<br />

• Total cholesterol<br />

• High-density lipoprote<strong>in</strong> cholesterol (HDL)<br />

• C-reactive prote<strong>in</strong><br />

• Family history (mother or father hav<strong>in</strong>g a myocardial <strong>in</strong>farction<br />

before age 60 years)<br />

• Similar for low and high risk groups but faired better<br />

for <strong>in</strong>termediate risk groups.


10 Year Risk vs. Lifetime Risk<br />

Lloyd-Jones et al, Arch Intern Med 2003.


Lifetime Risk<br />

• Provide absolute risk assessment<br />

• May be more easily understood by patients and<br />

cl<strong>in</strong>icians<br />

• Help motivate lifestyle changes or behaviors


Lifetime Risk


Need to Consider Lifetime Risk<br />

<strong>in</strong> addition to Short-Term Risk


Exercise<br />

1/36.5 M hrs


How many miles would I have to<br />

run ?<br />

Sudden Death


Functional Capacity<br />

• Exercise capacity is an <strong>in</strong>dependent predictor of the<br />

risk of death and cardiac events among women and<br />

men<br />

• Functional capacity correlated well with outcomes<br />

• 67% of deaths or MI <strong>in</strong> women occurred with DASI<br />

scores


Exercise ECG Test<strong>in</strong>g<br />

• Developed and validated<br />

us<strong>in</strong>g a male population


Nomogram of the Percentage of<br />

Predicted Exercise Capacity for Age<br />

Gulati et al, NEJM 2005.


Physical Inactivity<br />

• Ranks second as the most important contributor to<br />

population ill-health<br />

• Ranks first as lead<strong>in</strong>g contributor to preventable illness and<br />

morbidity <strong>in</strong> women and second <strong>in</strong> men<br />

•<strong>Women</strong> are more likely<br />

to lead sedentary lifestyles<br />

than men<br />

Population Prevalence (%)<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

Men<br />

<strong>Women</strong><br />

5<br />

0<br />

2000 2003


Physical Inactivity<br />

• Inactivity <strong>in</strong>creases with age<br />

• Physical activity decl<strong>in</strong>es rapidly with age dur<strong>in</strong>g<br />

adolescence, especially among females<br />

• Among women age 18 and older, 40.6%<br />

sedentary (have no leisure-time physical activity)<br />

National Center for Health Statistics. Health 2006.


Risk Factors<br />

Predictive Power Varies by Sex


Depression and CAD<br />

45<br />

40<br />

35<br />

Men<br />

<strong>Women</strong><br />

30<br />

Percent<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

or=60 years<br />

Malik et al, Arch Int Med 2006.


Depression and CAD<br />

• Strong predictor of adverse outcomes after ACS<br />

• Associated with worse patient health status and higher<br />

cost of care<br />

• Direct mechanism vs. behavioral<br />

• Physiology of depression (high sympathetic tone and high<br />

platelet aggregability)<br />

• Noncompliance with medications and lifestyle <strong>in</strong>terventions


Rate of depression among<br />

women with AMI under<br />

the age of 60 was 40%


Social Support<br />

• Associated with better survival after an AMI<br />

• Does marital status confer similar social support<br />

to men and women after AMI?


Marital Status ≠ Social Support<br />

<strong>in</strong> <strong>Women</strong>


Marital Status and Survival after AMI


<strong>Women</strong> with CAD<br />

• Depression screen<strong>in</strong>g is important, particularly<br />

among young women<br />

• Need to evaluate whether psychosocial<br />

<strong>in</strong>terventions for women after AMI can reduce<br />

observed disparities <strong>in</strong> outcomes


AHA 2007 Guidel<strong>in</strong>es for<br />

CVD Prevention <strong>in</strong> <strong>Women</strong>


The Good News


Awareness of CVD <strong>in</strong> <strong>Women</strong><br />

50<br />

45<br />

40<br />

Population (%)<br />

35<br />

30<br />

25<br />

20<br />

15<br />

<strong>Heart</strong> <strong>Disease</strong>/<strong>Heart</strong> Attack<br />

Cancer (General)<br />

Breast Cancer<br />

10<br />

5<br />

0<br />

1997 2000 2003<br />

Year of Survey


Awareness of CVD <strong>in</strong> <strong>Women</strong><br />

• Suggest that efforts<br />

to educate women<br />

have been successful<br />

Improved general awareness is associated with<br />

greater personal awareness and <strong>in</strong>creased<br />

actions to lower CVD risk


Recent CV Mortality Trends<br />

Rosamond et al, Circulation 2007.


AHA 2011 Guidel<strong>in</strong>es for<br />

CVD Prevention <strong>in</strong> <strong>Women</strong><br />

• Lowered threshold for “High Risk”-20% to 10%<br />

• “Real World” vs. Cl<strong>in</strong>ical Trials<br />

• Pregnancy complication<br />

• Aspir<strong>in</strong> <strong>in</strong> DM<br />

• DM control<br />

• Stat<strong>in</strong>s / C-reative prote<strong>in</strong>


Cl<strong>in</strong>ical Trials<br />

• Many early trials ma<strong>in</strong>ly focused on men<br />

• Now more women, oversampl<strong>in</strong>g of women,<br />

mandat<strong>in</strong>g <strong>in</strong>clusion of specific % women by<br />

NIH<br />

• Get more sex-specific data and evidence-based<br />

<strong>in</strong>formation<br />

• <strong>Heart</strong> for <strong>Women</strong> Act – requir<strong>in</strong>g gender<br />

<strong>in</strong>formation


The Bad News


Translation of Knowledge<br />

to Positive Behavior<br />

• AHA-GWTG and CRUSADE Database<br />

• Time from symptom onset to hospital presentation<br />

Diercks et al, Am <strong>Heart</strong> J 2010; 160: 80-87.


Cardiac Rehabilitation<br />

• Underused, particularly <strong>in</strong> women and the elderly<br />

• <strong>Women</strong> were 55% less likely than men to<br />

participate <strong>in</strong> cardiac rehabilitation


Physician Awareness<br />

Fewer than 1 <strong>in</strong> 5 physicians knew that more<br />

women than men die each year from CVD


Frequency of Use of Evidence-Based Medical<br />

Therapy After Presentation to a Cardiologist<br />

Medication Overall Male Female P<br />

Antiplatelet 81% 84% 76%


CAD and <strong>Women</strong><br />

The Myth Still Exists


Sex Matters<br />

• Every cell has a sex, so sex does matter<br />

• Sex affects behavior and perception<br />

• Sex affects health – different patterns of illness and<br />

different life spans<br />

• Dissimilar exposures, susceptibilities and responses to<br />

<strong>in</strong>itiat<strong>in</strong>g agents, variable responses to pharmacologic agents<br />

Sex is an important basic human variable that<br />

should be considered when design<strong>in</strong>g and<br />

analyz<strong>in</strong>g studies <strong>in</strong> all areas and at all levels of<br />

biomedical and health-related research


Gender-Based Disparities<br />

• S<strong>in</strong>ce 1984, more women than men have died annually<br />

from ischemic heart disease<br />

• <strong>Women</strong> with IHD have more adverse outcomes<br />

• Traditional disease management approaches that focus<br />

on obstructive coronary stenosis often fail to identify<br />

those women who are at risk


Gender-Based Disparities<br />

• Expand<strong>in</strong>g def<strong>in</strong>ition of the “typical” female<br />

coronary disease pathophysiology and presentation<br />

• Modify normative standards<br />

• Educate patients and healthcare professionals


• Further Study is Needed to Def<strong>in</strong>e Sex<br />

Differences <strong>in</strong> Atherosclerosis<br />

• Poor understand<strong>in</strong>g of the gender-specific<br />

differences <strong>in</strong> presentation and prognosis of heart<br />

disease<br />

• Studies for Gender Based Management<br />

Strategies<br />

• Future research should publish both efficacy and<br />

ADR by gender


Application of proven <strong>in</strong>terventions<br />

<strong>in</strong> day to day practice


Her Future


The New Face of <strong>Heart</strong> <strong>Disease</strong>

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