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Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis François Schiele, MD, PhD, Nicolas Meneveau, MD, PhD, Marie France Seronde, MD, Vincent Descotes-Genon, MD, Joanna Dutheil, MD, Romain Chopard, MD, Fiona Ecarnot, and Jean-Pierre Bassand, MD. On behalf on the “Reseau de Cardiologie de Franche Comté” Department of Cardiology, University Hospital Jean Minjoz, Besançon, France. Conflict of Interest to Declare : Research Contracts and Consulting Servier, Sanofi, GSK, Astra-Zeneca, Takeda, Lilly

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Page 1: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes

after Acute Myocardial Infarction.A propensity score-matched analysis

François Schiele, MD, PhD, Nicolas Meneveau, MD, PhD,

Marie France Seronde, MD, Vincent Descotes-Genon, MD, Joanna Dutheil, MD, Romain Chopard, MD, Fiona Ecarnot,

and Jean-Pierre Bassand, MD.On behalf on the “Reseau de Cardiologie de Franche Comté”

Department of Cardiology, University Hospital Jean Minjoz, Besançon, France.

Conflict of Interest to Declare :Research Contracts and Consulting

Servier, Sanofi, GSK, Astra-Zeneca, Takeda, Lilly

Page 2: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Women fare worse than men after acute MI

1. Women admitted for acute MI have 40-100% higher mortality at 30 days, as compared with men. This over-mortality is reduced after adjustment for age and co-morbidities.

Malacrida, ISIS-3, N Engl J Med 1998;338:8-14

Page 3: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

1. Women admitted for acute MI have 40-100% higher mortality at 30 days, as compared with men. This over-mortality is reduced after adjustment for age and co-morbidities.

2. Sex-age interaction : discrepancy between studies

Malacrida, N Engl J Med 1998;338:8-14

Greater difference with older age

Vaccarino, N Engl J Med 1999;341:217-25

Decrease in difference with age

Women fare worse than men after acute MI

Page 4: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

1. Women admitted for acute MI have 40-100% higher mortality at 30 days, as compared with men. This over-mortality is reduced after adjustment for age and co-morbidities.

2. Sex-age interaction : discrepancy between studies 3. Sex-type of MI interaction : STEMI ≠ NSTEMI

Berger, JAMA 2009;302:874-82

Women fare worse than men after acute MI

Page 5: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

1. Women admitted for acute MI have 40-100% higher mortality at 30 days, as compared with men. This over-mortality is reduced after adjustment for age and co-morbidities.

2. Sex-age interaction : discrepancy between studies 3. Sex-Type of MI interaction : STEMI ≠ NSTEMI4. Women receive fewer treatments and no difference in mortality

is observed after adjustment for co-morbidities and treatments

Gan, N Engl J Med 2000;343:8-15

Women fare worse than men after acute MI

Page 6: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

1. Women admitted for acute MI have 40-100% higher mortality at 30 days, as compared with men. This over-mortality is reduced after adjustment for age and co-morbidities.

2. Sex-age interaction : discrepancy between studies 3. Sex-Type of MI interaction : STEMI ≠ NSTEMI4. Women receive fewer treatments and no difference in mortality

is observed after adjustment for co-morbidities and treatments

To assess the effects of Clinical Characteristics and Treatments on Gender Difference ,

using a Propensity Score-Matched Analysis.

Aim of the Study

Women fare worse than men after acute MI

Page 7: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Methods

All consecutive patients admitted between January 2006 and

December 2007

CARDS dataset, dedicated team of data managers.

Endpoint: 30 day all-cause mortality

Use of matched pairs comparison:

Two Propensity scores for being male by logistic regression,

PS#1 with baseline characteristics (16 variables)

PS#2 with baseline characteristics and treatments

1:1 matching on best 8 digits of the propensity score (match

allowed for PS<0.015)

30 day mortality (Kaplan Meier curves and Odds ratios from

conditional logistic regression) in unadjusted and matched cohorts

Interactions : age, type of MI by Breslow-Day test.

Page 8: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Variables Women (%) Men (%) P Value Chi2/t

N 1119 (32) 2391 (68)

STEMI  461 (41) 1117 (47) 0.0008 9.38

NSTEMI  658 (59) 1274 (53) <0.0001 9.38

Age (SD) 74 (13) 64 (13)  <0.0001 18.9

Diabetes 301 (27) 495 (21) <0.0001 16.7

Hypertension 762 (68) 1143 (48) <0.0001 12.7

Hypercholesterolemia 451 (40) 1132 (47) <0.0001 15.9

Smoker 258 (23) 1583 (66) <0.0001 56.7

Previous MI 151 (13) 449 (19) <0.0001 15.2

Previous angioplasty 94 (8) 349 (15) <0.0001 26.5

Previous coronary surgery 37 (3) 105 (4) 0.12 2.33

Previous Stroke 79 (7) 121 (5) 0.002 5.6

Per. Vessel Disease 86 (8) 286 (12) <0.0001 14.8

Baseline characteristics (1)

Page 9: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Variables Women (%) Men (%) P Value Chi2/t

N 1119 (32) 2391 (68)

Time to admission STEMI  4 [2;15] 3 [2;9]  <0.0001

Admission heart rate 80 (20) 77 (20) <0.0001 4.0

Admission Systolic BP 134 (29) 130 (28) 0.79 0.09

Killip class >2 94 (8) 127 (5) <0.0001 12.3

Cardiogenic shock 48 (4) 94 (4) 0.61 0.25

GRACE risk score 147 [124 ;167] 132 [110 ;152] <0.0001

Admission Glucose 7 (4.4) 6.7 (3.5) 0.0035 2.99

BNP 480 [180;1202]  217 [83;544] <0.0001

Hs-CRP 8 [3;27] 6 [2;22]  <0.0001

Baseline characteristics (2)

Page 10: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Variables Women (%) Men (%) P Value Chi2/t

Angiography 805 (72) 2080 (87) <0.0001 130

No obstructive disease 112(14) 92(4) <0.001 83

PCI of infarct related artery 552(49) 1662(69) <0.0001 133

GPIIbIIIa inhibitors (NSTEMI) 271 (40) 682 (53)  <0.0001 25.9

Reperfusion (STEMI) 281/461 (61) 843/1117 (75) <0.001 30.5

Primary PCI (STEMI) 215/461 (47) 615/1117 (55) <0.0001 19.0

Thrombolysis (STEMI) 66/461 (14) 228/1117 (20) <0.009 8.0

Aspirin 1089 (97) 2360 (99) <0.0001 16.8

Clopidogrel 1035 (92) 2290 (96) <0.0001 25.0

Aspirin + Clopidogrel 1035 (92) 2290 (96) <0.0001 31.8

ACEI / ARB 667 (60) 2052 (86) <0.0001 23.9

Betablockers 791 (71) 1847 (77) <0.0001 17.5

Statins 982 (88) 2296 (96) <0.0001 75.3

In-hospital Treatments

Page 11: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Selection of the matched populations

3510 patients with Acute Myocardial Infarction 1578 (45%) STEMI, 1932 (55%) NSTEMI

1119 (32%) Women, 2391 (68%) Men

Matching on propensity score 1 = 649 pairs

Comparison of treatmentsComparison of mortality

Comparison of mortality

Propensity score 1 (being male)with baseline characteristics

Propensity score 2 (being male)with baseline characteristics

and treatments

Matching on propensity score 2 = 584 pairs

Page 12: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Effect of matching on sex differences

P values for the difference between men and women

Unmatched dataset

0.05

Page 13: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Effect of matching on sex differences

P values for the difference between men and women

Unmatched dataset Matched #1 dataset

0.05

Page 14: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Effect of matching on sex differences

P values for the difference between men and women

Unmatched dataset Matched #1 dataset Matched #2 dataset

0.05

Page 15: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

KM Cumulative mortality

Unmatched n=3510 p=0.001Unmatched n=3510 p=0.001Matched #1 n=649 pairs p=0.23

Log-Rank test: p=0.95

Days0 5 10 20

30At risk584 574 565 544

529584 573 562 550

530

WomenMen

Unmatched n=3510 p=0.001Matched #1 n=649 pairs p=0.23Matched #2 n=584 pairs p=0.95

Page 16: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

0.5 0.8 1 1.5 2 4

Aspirinunmatched OR= 1.35 [1.06; 1.80]Matched #1 OR= 1.10 [0.46; 2.62]Clopidogrelunmatched OR= 1.65 [1.38; 2.01]Matched #1 OR= 1.04 [0.58; 1.84]Aspirin and Clopidogelunmatched OR= 1.67 [1.40; 2.01]Matched #1 OR= 1.10 [0.46; 1.63]ACEI or ARBunmatched OR= 1.42 [1.24; 1.65]Matched #1 OR= 1.29 [0.97; 1.70]Beta blockerunmatched OR= 1.31 [1.15; 1.49]Matched #1 OR= 1.02 [0.64; 1.29]GPIIbIIIa (NSTEMI)unmatched OR= 1.66 [1.43; 1.96]Matched #1 OR= 1.40 [0.94; 1.56]Coronary Angiographyunmatched OR= 2.82 [2.40; 3.41]Matched #1 OR= 1.57 [1.10; 2.18]Reperfusion /PPCIunmatched OR= 1.56 [1.29; 1.89]Matched #1 OR= 1.24 [1.12; 1.71]Reperfusion /FLunmatched OR= 1.82 [1.24; 2.12]Matched #1 OR= 1.72 [1.08; 2.73]

In-Hospital mortalityunmatched OR= 0.50 [0.37; 0.62]Matched #1 OR= 0.52 [0.32; 0.83]Matched #2 OR= 0.75 [0.45; 1.23]

30 day mortalityunmatched OR= 0.53 [0.42; 0.57]Matched #1 OR= 0.70 [0.46; 1.01]Matched #2 OR= 0.89 [0.57; 1.36]

Odds ratios for men versus women

Page 17: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Interaction with type of MI

P=0.15

P=0.24

P=0.10

STEMI NSTEMIWomenMen

WomenMen

Page 18: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Interaction with age

<68 years ≥68 years

WomenMen

WomenMen

P=0.04

P=0.01

P=0.29

Page 19: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Discussion

• Matching on propensity score with analysis by pairs

• Differences in characteristics, treatments and mortality

• Significant interaction with age: gender difference in older

patients, disapears after matching.

• No significant interaction with the type of MI: higher mortality in

women with STEMI, disappears after matching

• Sex differences in aspirin, clopidogrel, betablockers, ACEI and

statins are explained by characteristics.

• Sex differences in coronary angiography and reperfusion in

STEMI are not explained by characteristics

• No difference in mortality after matching on characteristics and

treatments.Vaccarino, New Engl J Med 1999 Austin, Use of PS.., Stat Med 2005 Berger, JAMA 2009;302:874-82 Blomkalns, CRUSADE, JACC 2005;45:832-7 Rosengren Eur Heart J 2001; 22: 314–322,Milcent Circulation. 2007;115:833-839

Page 20: Effects of Clinical Characteristics and Treatments on Gender Difference in Outcomes after Acute Myocardial Infarction. A propensity score-matched analysis

Conclusions As compared with men, women admitted for acute MI receive

fewer effective treatments and have a twofold higher 30 day

mortality.

Comparison of cohorts matched on baseline characteristics shows

that co-morbidities explain the lower use of treatments.

Nevertheless, women are less often submitted to coronary

angiography and reperfusion (STEMI) and have a higher in-hospital

mortality.

Comparison of cohorts matched on baseline characteristics and

treatments shows similar in-hospital and 30 day mortality between

genders, suggesting that a higher use of invasive procedures and

reperfusion strategy could reduce the difference in mortality.