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Ethnic differences - intrinsic and extrinsic factors

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Study populations - <strong>Ethnic</strong> <strong>differences</strong> –<br />

<strong>intrinsic</strong> <strong>and</strong> <strong>extrinsic</strong> <strong>factors</strong>.<br />

What impact in Heart Failure outcome<br />

trials ?<br />

Faiez Zannad<br />

CIC-INSERM, U 961<br />

Hypertension <strong>and</strong> Heart Failure Division<br />

department of Cardiology,<br />

University hospital of Nancy, France<br />

DGOS


Disclosures<br />

Faiez Zannad<br />

• Research Grants<br />

• BG Medicine<br />

• Roche Diagnostics<br />

• Consultancy<br />

• Novartis, Resmed, Pfizer, Boston Scientific, Takeda,<br />

Servier, Boehringer, Bayer, Relypsa, J&J.


Pitt B et al. N Engl J Med. 1999; 341: 709-717<br />

3<br />

RALES<br />

Only one HF clinical trial that Japan has ever participated.<br />

However, the number of enrolled patients was as few as 14.<br />

1,663 patients were r<strong>and</strong>omized from 15 countries


China<br />

Variations by Etiology<br />

Rheumatic heart disease 19%<br />

IHD 46%<br />

Dilated cardiomyopathies 8%<br />

Hypertensive 13%<br />

Congenital heart dis. 3%<br />

Other CVD 7%<br />

Based on nationwide survey of 10,000<br />

patients admitted for heart failure in China,<br />

Year 2000<br />

Zhengming Chen (HF Trialists 2009)


Patterns of hospital treatment for heart<br />

failure in China, 2000<br />

Diuretics 19%<br />

Digitalis 40%<br />

Nitrate 53%<br />

Ca ++ antagonists 10%<br />

β-blocker 19%<br />

ACE-I 40%<br />

ARB 4%<br />

Aldoseterone antagonists 20%<br />

Dopamine 14%<br />

Zhengming Chen (HF Trialists 2009)


India - Mortality by<br />

socio-economic strata<br />

Rich Upr mid Lowr mid Poor P<br />

Death rate<br />

(un-adj)<br />

5.5 5.9 6.5 8.2


Comparison of Trials <strong>and</strong> Registries<br />

OPTIMIZE<br />

N=48,612<br />

ADHERE<br />

N=105,388<br />

Mean age 73.1 (14.2) 72.6 (13.9) 71<br />

% African<br />

American<br />

18% 20%<br />

% Male 48% 48% 53%<br />

Mean LVEF 39 (17.6) 34.4 (16.1)<br />

EuroHeart Failure<br />

Survey (overall)<br />

N=10,701<br />

CAD 50% 57%<br />

HTN 71% 73% 53%<br />

DM 42% 44% 27%<br />

Renal<br />

insufficiency<br />

Atrial<br />

fibrillation<br />

20% 30% 17%<br />

31% 31% 42%


Clinical Outcomes: Registries <strong>and</strong><br />

Trials<br />

OPTIMIZE-<br />

HF<br />

ADHERE<br />

EuroHeart<br />

Failure<br />

Survey<br />

Length of Stay, Median (days) 4 (3,7) 4.1 11<br />

In-Hospital Mortality (%) 1,834 (3.8) 4.0<br />

739<br />

(6.9%)<br />

60- to 90-Day Readmission Rate<br />

(%)<br />

60- to 90-Day Mortality Rate (%)<br />

(includes in-hospital deaths)<br />

1,715 (29.6) NA<br />

571 (9.9) NA<br />

24.2%<br />

(90-day)<br />

1408<br />

(13.5%)


Regional <strong>differences</strong> of specific<br />

complications in Diabetes in ADVANCE.<br />

Clarke PM et al Plos Medicine 2010


Contributions of specific complications to<br />

total hospital use during the ADVANCE<br />

study, in Diabetes, by region.<br />

Clarke PM et al Plos Medicine 2010


Heart failure event rate/year<br />

Asia: 0.4<br />

Europe + NZ: 1.0%


Efficacy of Vasopressin antagonism<br />

in hEart failuRE: outcome Study with<br />

Tolvaptan (EVEREST)


EVEREST<br />

Key Entry Criteria<br />

Inclusions<br />

• Hospitalization for HF 1+)<br />

– Dyspnea<br />

Exclusions<br />

• Recent or planned revascularization or device implant<br />

• STEMI during hospitalization<br />

• Systolic BP 3.5 mg%; K >5.5 mEq/L; Hgb


EVEREST<br />

Different clinical background<br />

15<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8<br />

J E Blair et al. JACC 2008


Etiology in Brazil : Chagas disease<br />

Probability of survival relative to the etiology of HF<br />

Freitas HFG. Int J Cardiol 2005;102:239-247.


EVEREST<br />

Different comorbidities<br />

17<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8<br />

J E Blair et al. JACC 2008


EVEREST<br />

Different severity<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8<br />

18 J E Blair et al. JACC 2008


EVEREST<br />

Different treatment<br />

19<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8<br />

J E Blair et al. JACC 2008


EVEREST: ALL Cause Mortality<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8


EVEREST:<br />

CV Death + HF Hospitalozation<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8


EVEREST<br />

Cumulative mortality (24 month FU) vs. North America<br />

after adjustment for baseline <strong>differences</strong><br />

Overall mortality<br />

CVD + hospitalization<br />

South America<br />

South Americans die<br />

more<br />

Western Europe<br />

Eastern Europe<br />

0 1.0 1.5 2.0<br />

HR (0.95% CI)<br />

0 1.0 1.5 2.0<br />

HR (0.95% CI)<br />

Eastern<br />

Europeans<br />

hospitalized<br />

less<br />

22<br />

Blair JE, Zannad F, Konstam MA, et al. JACC. 2008;52(20):1640-8


International <strong>differences</strong> in LOS <strong>and</strong> 30-day all-cause<br />

readmission rates (ASCEND)<br />

among patients discharged alive <strong>and</strong> LOS


International <strong>differences</strong> in LOS <strong>and</strong> 30-day all-cause<br />

readmission rates (ASCEND)<br />

among patients discharged alive <strong>and</strong> LOS


Relationship between initial LOS <strong>and</strong> 30-day<br />

readmission (ASCEND)<br />

Level of<br />

hierarchical<br />

model<br />

Patient<br />

Site<br />

Country<br />

Effect<br />

All-cause<br />

readmissions<br />

Pt<br />

estimate<br />

95% CI<br />

P-<br />

value<br />

0.975 0.956 0.995 0.015<br />

HF Readmissions 0.951 0.924 0.980 0.001<br />

All-cause<br />

readmissions<br />

0.934 0.884 0.985 0.013<br />

HF Readmissions 0.902 0.838 0.971 0.006<br />

All-cause<br />

readmissions<br />

0.849 0.749 0.963 0.013<br />

HF Readmissions 0.796 0.669 0.946 0.012


Relationship between initial LOS <strong>and</strong> 30-day<br />

readmission – US vs OUS (ASCEND)<br />

Level of<br />

hierarchical<br />

model<br />

Country<br />

US only<br />

Effect<br />

All-cause<br />

readmissions<br />

Pt<br />

estimate<br />

95% CI p-value<br />

0.849 0.749 0.963 0.013<br />

HF Readmissions 0.796 0.669 0.946 0.012<br />

All-cause<br />

readmissions<br />

0.915 0.842 0.990 0.034<br />

HF Readmissions 0.867 0.773 0.971 0.014


•America vs. EU<br />

•No difference in death rate.<br />

• Higher All cause hospitalizations (non CV hosp),<br />

• Persisted even after adjustment for baseline imbalance<br />

Pitt B; Zannad F; Gheorghiade M, et al., Int J Cardiol.,2009


Pitt B; Zannad F; Gheorghiade M, et al., Int J Cardiol.,2009<br />

Subgroup analyses based on regions have<br />

rarely changed the main results of HF trials<br />

(No interaction found)<br />

Subgroup analysis based on regions<br />

No change in the main results (No interaction found)<br />

EPHESUS


Baseline Characterístics<br />

Europe<br />

R o W<br />

Age (y) 64.7 60.1<br />

Men % 76 76<br />

IHD % 68 67<br />

NYHA II, % 49 49<br />

NYHA III/IV, % 51 51<br />

AMI % 56 56<br />

Diabetes, % 36 31<br />

Hypertension, % 67 66


http://www.accessdata.fda.gov<br />

Subgroup analysis based on regions<br />

Important change in the main results (interaction found)<br />

MERIT-HF The FDA sub-analysis<br />

All cause Death<br />

Death + Hosp Death + HF Hosp


Survival analysis of beta-blocker trials by US<br />

vs. non-US enrollment<br />

O’Connor et al, ACC 2010


Massie B. J Am Coll Cardiol, 2011; 58:923-924<br />

“The provocative major finding of the analysis is<br />

that there appears to be a lesser survival benefit of<br />

BB that were studied in North American patients<br />

than in patients enrolled in the rest of the world”<br />

“However, most important, one cannot exclude the<br />

play of chance in these findings”


Exon 7 NOS3 in afro-american (AA) pts<br />

A-HeFT <strong>and</strong> GRACE registry<br />

NOS3<br />

exon 7<br />

GRACE<br />

Non-AA<br />

GRACE<br />

A-A<br />

A-<br />

HeFT<br />

Asp-Asp<br />

(%)<br />

Asp-Glu<br />

(%)<br />

Glu-Glu<br />

(%)<br />

14 2 1<br />

45 31 20<br />

41 67 79<br />

Taylor A et al , Circulation 2007<br />

McNamara DM et al. Journal of<br />

Cardiac Failure Vol. 15 No. 3 2009


Endothelial nitric oxide synthase gene<br />

polymorphisms<br />

+1<br />

26 exons<br />

-1468 -922 -786 intron 4a/b exon 7 intron 13 intron 18 intron 23<br />

(Т/А) (A/G) (T/C) (27 bp repeat) (G894T) (CA repeat) (A/C) (G/T)<br />

(more than 15 polymorphisms have been identify in eNOS gene)<br />

‣ Т-786С polymorphism in eNOS gene promoter<br />

‣ 27-base pair (bp) repeat polymorphism in intron 4<br />

‣ G894T (Glu 298 Asp) polymorphism in exon 7


The frequency of CC genotype of eNOS gene<br />

promoter in different populations (controls)<br />

%<br />

20<br />

16<br />

12<br />

8<br />

4<br />

0<br />

Italy UK Spaine France Canada Ukraine Japan<br />

*<br />

1. Colombo MG, et al. // Clin. Chem. (2003)Vol. 49. – P.389-395; 2. Jeerooburkhan N, et al.// Hypertension.(2001)Vol. 38. – P. 1054-1061;<br />

3. Alvarez R., et al. // Nitric Oxide.( 2001)Vol.5, N4. - P.343-348; 4. Poirier O, et al.// Eur. J. Clin. Invest.(1999) Vol. 29. – P.284–290;<br />

5. Hyndman ME, et al.// Hypertension. (200)Vol. 39. – P. 919-925; 6. Iwai N, et al. // Circulation. (1999)Vol. 100. – P.2231-2236.


The a 2C<br />

Del322-325 <strong>and</strong> b 1<br />

Arg389<br />

receptors act synergistically to increase<br />

the risk of heart failure in blacks<br />

Small, K. et al. N Engl J Med 2002;347:1135-1142


BEST<br />

Therapeutic response (CV Mortality) to bucindolol<br />

was strongly influenced by 2C receptor genotype.<br />

Bucindolol A2<br />

Placebo A2<br />

Bristow, M et al. Circ Heart Fail. 2010;3:21-28.


Conclusions<br />

• Despite relatively strict inclusion/exclusion criteria, patient<br />

populations remained heterogeneous among regions in<br />

– Patient baseline characteristics,<br />

– Therapies, <strong>and</strong> medications<br />

– <strong>and</strong> also in outcome.<br />

• Differences are most likely related to varying<br />

– HF epidemiology, etiology, socio economic status<br />

– health care systems, access to health resources<br />

• Rather than regional <strong>differences</strong>, genetic variations may<br />

be more relevant


Conclusions<br />

• Globalization of trials is a necessity<br />

• Regional <strong>differences</strong> should not play against<br />

globalization of clinical trials<br />

• Subgroup analyses based on regions have<br />

rarely changed the main results of HF trials (No<br />

interaction found)<br />

• Balance among regions represented in a trial is<br />

important in order to avoid over-representation<br />

of a region <strong>and</strong> interpretation bias.

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