Literature DB >> 34993430

Trends of Sex Differences in Clinical Outcomes After Myocardial Infarction in the United States.

Andrija Matetic1,2,3, Warkaa Shamkhani3,4, Muhammad Rashid3,4, Annabelle Santos Volgman5, Harriette G C Van Spall6,7,8, Thais Coutinho9, Laxmi S Mehta10, Garima Sharma11, Purvi Parwani12, Mohamed Osama Mohamed3,4, Mamas A Mamas3,4.   

Abstract

BACKGROUND: Female patients have been shown to experience worse clinical outcomes after acute myocardial infarction (AMI) compared with male patients. However, it is unclear what trend these differences followed over time.
METHODS: Data from patients hospitalized with AMI between 2004 and 2015 in the National Inpatient Sample were retrospectively analyzed, stratified according to sex. Multivariable logistic regression analyses were performed to examine the adjusted odds ratios (aORs) of invasive management and in-hospital outcomes according to sex. The Mantel-Haenszel extension of the χ2 test was performed to examine the trend of management and in-hospital outcomes over the study period.
RESULTS: Of 7,026,432 AMI hospitalizations, 39.7% (n = 2,789,494) were women. Overall, women were older (median: 77 vs 70 years), with a higher prevalence of risk factors such as diabetes, hypertension, and depression. Women were less likely to receive coronary angiography (aOR, 0.92; 95% confidence interval [CI], 0.91-0.93) and percutaneous coronary intervention (aOR, 0.82; 95% CI, 0.81-0.83) compared with men. Odds of all-cause mortality were higher in women (aOR, 1.03; 95% CI, 1.02-1.04; P < 0.001) and these rates have not narrowed over time (2004 vs 2015: aOR, 1.07 [95% CI, 1.04-1.09] vs 1.11 [95% CI, 1.07-1.15), with similar observations recorded for major adverse cardiovascular and cerebrovascular events.
CONCLUSIONS: In this temporal analysis of AMI hospitalizations over 12 years, we showed lower receipt of invasive therapies and higher mortality rates in women, with no change in temporal trends. There needs to be a systematic and consistent effort toward exploring these disparities to identify strategies to mitigate them.
© 2021 The Authors.

Entities:  

Year:  2021        PMID: 34993430      PMCID: PMC8712599          DOI: 10.1016/j.cjco.2021.06.012

Source DB:  PubMed          Journal:  CJC Open        ISSN: 2589-790X


Acute myocardial infarction (AMI) is the most acute presentation of ischemic heart disease and the leading cause of mortality in men and women worldwide, accounting for 17.9 million deaths globally per year (31% of all deaths).1, 2, 3 Ischemic heart disease-related mortality has declined in recent years because of increased awareness of cardiovascular risk, advances in pharmacological therapy, coronary revascularization, and cardiovascular prevention. Notwithstanding, several studies have shown a higher incidence of adverse events in women after AMI,, and have attributed worse outcomes in women to their lower rate of receipt of invasive management, in the form of coronary angiography (CA) or percutaneous coronary intervention (PCI). Furthermore, anatomical and biological factors could place women at a greater risk of mechanical and procedural complications after AMI, such as smaller-sized arteries and differences in plaque characteristics., Most of the evidence on sex differences in AMI management and outcomes to date is limited to data from highly selected cohorts (such as age younger than 55 years, or randomized controlled trials), which might not be representative of real-world practice, certain geographical regions, specific syndromes (eg, ST-elevation myocardial infarction [STEMI] only), or are of relatively small sample sizes. However, it is unclear whether there have been temporal changes in sex-based differences and in particular whether disparities have narrowed, especially in light of the increasing recognition of sex disparities in recent years. Older studies from the national registry of myocardial infarction in the United States (1994-2006) suggested a narrowing in the differences in outcomes between sexes, with an overall improvement in mortality outcomes. In contrast, a national French registry analysis of 5000 STEMI patients hospitalized between 2006 and 2011 showed significant persistent sex-based differences in management and outcomes. Although these findings provide us with insight into sex differences in a STEMI population, it is unclear whether these differences are also observed across a broader spectrum of presentations. Moreover, their analysis was derived from a cohort from close to more than a decade ago, after which there have been many advances in AMI care and improvements in outcomes with the development of regional PCI, services. Therefore, in the present study we sought to examine the temporal trends in invasive management and in-hospital outcomes of both sexes over a period of 12 years in a national cohort of AMI hospitalizations in the United States.

Methods

Data source

The National Inpatient Sample (NIS) is a set of the largest publicly available all-payer longitudinal databases of hospital in-patient discharges in the United States. It is developed for the Agency for Healthcare Research and Quality (AHRQ), which administers the Healthcare Cost and Utilization Project., It contains anonymized retrospectively collected data on primary and secondary discharge diagnoses and procedures from more than 7 million hospitalizations annually. Therefore, it can be used for the national and regional estimation of hospital utilization, quality, and other related issues. The NIS data set was designed to approximate a 20% stratified sample of the US community hospitals, excluding rehabilitation and long-term acute care hospitals, and provides sampling weights to calculate national estimates that represent more than 95% of the US population. Previous validation studies have shown that it has better demographic capture compared with a large multistate electronic health record data set and that it is highly comparable with other related databases.,

Study design and population

All hospitalizations of adults (18 years of age and older) with a principal discharge diagnosis of AMI between January 2004 and September 2015 were included, stratified according to sex. International Classification of Diseases, Ninth Revision (ICD-9) and Clinical Classification Software codes were used to identify STEMI and non-STEMI (NSTEMI), patient comorbidities, procedures, and clinical outcomes (Supplemental Table S1). Additional comorbidities were identified using the existing 29 AHRQ Elixhauser comorbidity measures. Hospital-related factors including hospital bed size, region, and location/teaching status were analyzed to account for any hospital-level differences. The “Hospital bed size” variable refers to the number of short-term acute hospital beds and is specific to the hospital’s location and teaching status. Missing data represented 0.4% (n = 27,042) of the original data set and, therefore, such cases were excluded (flow diagram: Supplemental Fig. S1).

Outcomes

The primary outcome was in-hospital mortality. Secondary outcomes included major acute cardiovascular and cerebrovascular events (MACCE; composite of all-cause mortality, acute stroke/transient ischemic attack, and cardiac complications), all-cause bleeding, and acute stroke/transient ischemic attack. Cardiac complications included hemopericardium, cardiac tamponade, coronary dissection, and any pericardiocentesis procedure. The process outcome was the receipt of invasive management for AMI, in the form of CA and/or PCI.

Statistical analysis

Statistical Package for the Social Sciences (SPSS) statistical software version 25 (IBM Corp, Armonk, NY) was used for statistical data analysis. We assessed the normality of data distribution using the Kolmogorov-Smirnov test. Data were expressed as median (interquartile range) for continuous nonparametric data and as whole numbers (percentages) for categorical data. Quantitative nonparametric data were analyzed using the Mann-Whitney U test, whereas the χ2 test was used for the comparison of categorical variables between the study groups. All analyses were conducted with appropriate sampling weights provided by the AHRQ for each individual discharge. Multivariable binomial logistic regression analyses were used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of invasive management and in-hospital adverse outcomes between sexes (Appendix 1). Trend analysis with a Mantel-Haenszel extension of the χ2 test of trend (linear-by-linear association) was conducted to establish trends of invasive management and in-hospital adverse outcomes over 12 years.

Results

Patient characteristics

A total of 7,026,432 records of AMI hospitalizations between 2004 and 2015 were included, of which 2,789,494 (39.7%) were women. Overall, women were, on average, 7 years older than men (median, 77 vs 70 years). The 2 groups were comparable on characteristics such as household income class, hospital bed size, and weekend admission. STEMI presentation was more common in men compared with women (32.6% vs 24.3%, respectively; P < 0.001). The prevalence of conventional cardiovascular risk factors such as diabetes, stroke, hypertension, and chronic kidney disease was higher in women compared with men (36.7% vs 32.8%, 3.6% vs 2.7%, 69.8% vs 65.1%, and 17.7% vs 16.2%, respectively; P < 0.001 for each). In contrast, men had a higher prevalence of previous cardiovascular disease, as evidence by the higher prevalence of previous AMI, PCI, coronary artery bypass grafting, and angina (9.3% vs 7.5%, 11% vs 7.8%, 6.9% vs 4.9%, and 7.8% vs 5.3%, respectively; P < 0.001 for each). Smoking was less prevalent in female patients (21.8% vs 32.8%, P < 0.001), obesity was slightly more often prevalent (12.8% vs 11.5%, P < 0.001), but depression and hypothyroidism were substantially more prevalent in female patients (9.2% vs 4.7%, P < 0.001 and 16.5% vs 5.4%, P < 0.001, respectively; Table 1).
Table 1

Patient characteristics according to sex

CharacteristicSex
P
Female (39.7%)Male (60.3%)
Number of weighted discharges2,789,4944,236,938
Median age (IQR), years77 (66-85)70 (60-80)< 0.001
Age group, %< 0.001
 18-290.20.3
 30-497.613.5
 50-7957.468.8
 ≥ 8034.817.4
STEMI, %24.332.6< 0.001
Elective admission, %6.77.1< 0.001
Weekend admission, %25.926.00.003
Primary expected payer, %< 0.001
 Medicare68.650.0
 Medicaid6.35.9
 Private insurance19.133.2
 Self-pay4.06.8
 No charge0.40.7
 Other1.63.4
Median household income (percentile), %< 0.001
 0-2530.327.7
 26-5027.527.1
 51-7523.224.2
 76-10019.021.0
Cardiogenic shock, %4.75.1< 0.001
Cardiac arrest, %1.51.7< 0.001
Ventricular tachycardia, %2.02.9< 0.001
Ventricular fibrillation, %1.93.2< 0.001
Cardiac tamponade, %0.0630.055< 0.001
Hemopericardium, %0.0270.023< 0.001
Comorbidities, %
 Atrial fibrillation18.415.5< 0.001
 Dyslipidaemia51.057.7< 0.001
 Thrombocytopenia2.12.6< 0.001
 Dementia2.51.2< 0.001
Smoking history21.832.8< 0.001
Previous AMI7.59.3< 0.001
History of IHD70.281.2< 0.001
Previous PCI7.811.0< 0.001
Previous CABG4.96.9< 0.001
Previous CVA3.62.7< 0.001
Family history of CAD5.37.8< 0.001
Deficiency anemias18.912.0< 0.001
Chronic blood loss anemia1.40.9< 0.001
Congestive heart failure1.10.7< 0.001
Valvular disease0.3290.198< 0.001
Hypertension69.865.1< 0.001
Peripheral vascular disorders11.510.6< 0.001
Pulmonary circulation disorders0.1370.082< 0.001
Chronic pulmonary disease23.518.9< 0.001
Coagulopathy3.94.7< 0.001
Obesity12.811.5< 0.001
Weight loss2.71.8< 0.001
Diabetes mellitus, uncomplicated29.827.2< 0.001
Diabetes mellitus with complications6.95.6< 0.001
Hypothyroidism16.55.4< 0.001
Drug abuse1.32.5< 0.001
Alcohol abuse1.04.0< 0.001
AIDS0.10.2< 0.001
Depression9.24.7< 0.001
Peptic ulcer disease excluding bleeding0.0340.0310.068
Liver disease1.01.3< 0.001
Chronic renal failure17.716.2< 0.001
Other neurological disorders7.24.9< 0.001
Paralysis1.91.4< 0.001
Psychoses2.51.8< 0.001
RA/collagen vascular diseases3.61.3< 0.001
Solid tumour without metastasis1.21.6< 0.001
Metastatic cancer0.8910.853< 0.001
Lymphoma0.4670.508< 0.001
Fluid and electrolyte disorders23.716.6< 0.001
Bed size of hospital, %< 0.001
 Small11.610.1
 Medium25.424.5
 Large65.463.0
Hospital Region, %< 0.001
 Northeast19.918.6
 Midwest23.923.2
 South39.840.0
 West16.418.2
Location/teaching status of hospital, %< 0.001
 Rural11.59.4
 Urban non-teaching41.640.8
 Urban teaching47.049.8

AMI, acute myocardial infarction; CABG, coronary artery bypass graft; CAD, coronary artery disease; CVA, cerebrovascular accident; IHD, ischemic heart disease; IQR, interquartile range; PCI, percutaneous coronary intervention; RA, rheumatoid arthritis; STEMI, ST-elevation myocardial infarction.

Patient characteristics according to sex AMI, acute myocardial infarction; CABG, coronary artery bypass graft; CAD, coronary artery disease; CVA, cerebrovascular accident; IHD, ischemic heart disease; IQR, interquartile range; PCI, percutaneous coronary intervention; RA, rheumatoid arthritis; STEMI, ST-elevation myocardial infarction.

In-hospital management

Overall, receipt of invasive therapies was higher in men than in women (CA, 70.1% vs 57.2% and PCI, 48.8% vs 34.8%, respectively; P < 0.001 for both) (Table 2, Supplemental Fig. S2). Women had significantly lower odds of receiving invasive therapy than men after adjustment for differences in baseline covariates (CA: aOR, 0.92 [95% CI, 0.91-0.93]; PCI: aOR, 0.82 [95% CI, 0.81-0.83]; P < 0.001 for both; Table 3, Fig. 1).
Table 2

Comparison of treatments and in-hospital adverse outcomes for the different sex groups

VariableSex
P
Female (39.7%)Male (60.3%)
Treatment, %
 CA57.270.1< 0.001
 PCI34.848.8< 0.001
 CABG6.310.5< 0.001
 Thrombolysis1.11.5< 0.001
 Use of assist device or IABP3.75.7< 0.001
Outcomes, %
 MACCE8.56.1< 0.001
 All-cause mortality6.85.1< 0.001
 All-cause bleeding3.33.0< 0.001
 Cardiac complications0.0840.074< 0.001
 Postprocedural hemorrhage0.70.70.418
 Stroke2.01.2< 0.001
Median length of stay (IQR), days5 (3-8)4 (2-8)< 0.001
Median total charges (IQR), USD$41,254 (20,718-78,877)50,151 (25,284- 95,125)0.003

CA, coronary angiography; CABG, coronary artery bypass graft; IABP, intra-aortic balloon pump; IQR, interquartile range; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/ transient ischemic attack and cardiac complications); PCI, percutaneous coronary intervention.

Table 3

Adjusted odds of invasive management and in-hospital adverse outcomes in women∗

VariableFemale sex, OR (95% CI)P
Invasive management
 CA0.92 (0.91-0.93)< 0.001
 PCI0.82 (0.81-0.83)< 0.001
Outcomes
 MACCE1.08 (1.07-1.09)< 0.001
 All-cause mortality1.03 (1.02-1.04)< 0.001
 All-cause bleeding0.94 (0.93-0.95)< 0.001
 Cardiac complications1.12 (1.06-1.19)< 0.001
 Stroke1.31 (1.29-1.33)< 0.001

CA, coronary angiography; CI, confidence interval; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications); OR, odds ratio; PCI, percutaneous coronary intervention.

Reference group is men.

Figure 1

Adjusted odds ratios (aORs) of invasive management and in-hospital adverse outcomes in women (reference group is men). CA, coronary angiography; CI, confidence interval; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications); PCI, percutaneous coronary intervention.

Comparison of treatments and in-hospital adverse outcomes for the different sex groups CA, coronary angiography; CABG, coronary artery bypass graft; IABP, intra-aortic balloon pump; IQR, interquartile range; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/ transient ischemic attack and cardiac complications); PCI, percutaneous coronary intervention. Adjusted odds of invasive management and in-hospital adverse outcomes in women∗ CA, coronary angiography; CI, confidence interval; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications); OR, odds ratio; PCI, percutaneous coronary intervention. Reference group is men. Adjusted odds ratios (aORs) of invasive management and in-hospital adverse outcomes in women (reference group is men). CA, coronary angiography; CI, confidence interval; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications); PCI, percutaneous coronary intervention. Similar findings were observed in the STEMI subgroup (Supplemental Table S2). Women with STEMI were less likely to receive CA (aOR, 0.89 [95% CI, 0.88-0.90; P < 0.001) or PCI (aOR, 0.85 [95% CI, 0.84-0.86]; P < 0.001; Supplemental Table S3). Furthermore, although there was a gradual increase in rates of receipt of invasive therapy for both sexes over the 12 years analyzed, women had persistently lower rates of CA over the years studied (Supplemental Table S4, Fig. 2). Even after adjustment for differences in baseline covariates women had persistently lower odds of receipt of CA (2004: aOR, 0.95 [95% CI, 0.93-0.96]; 2015: aOR, 0.94 [95% CI, 0.92-0.95]; P for trend < 0.001) and PCI (2004: 0.90 [95% CI, 0.89-0.92]; 2015: 0.83 [95% CI, 0.82-0.84]; P for trend < 0.001) over time (Supplemental Table S5, Supplemental Fig. S3).
Figure 2

Receipt of invasive management according to sex from 2004 to September 31, 2015. P < 0.001 for all trends. CA, coronary angiography; PCI, percutaneous coronary intervention.

Receipt of invasive management according to sex from 2004 to September 31, 2015. P < 0.001 for all trends. CA, coronary angiography; PCI, percutaneous coronary intervention.

In-hospital clinical outcomes

Overall, crude in-hospital outcomes were worse in women than in men (mortality: 6.8% vs 5.1%; bleeding: 3.3% vs 3.0%; stroke: 2.0% vs 1.2%, respectively; P < 0.001 for all; Table 2). Similar findings were reported in the STEMI (Supplemental Table S2), as well as in the PCI subgroup in which women had higher rates of adverse outcomes than men (mortality: 3.8% vs 2.5%; bleeding: 3.2% vs 2.1%; stroke: 1.2% vs 0.6%, respectively; P < 0.001 for all; Supplemental Table S6). The overall adjusted odds of MACCE and mortality were higher in women than in men (aOR, 1.08 [95% CI, 1.07-1.09]; aOR, 1.03 [95% CI, 1.02-1.04], respectively; P < 0.001 for all). Women had an increased risk of stroke compared with men (aOR, 1.31 [95% CI, 1.29-1.33]; P < 0.001). In contrast, the odds of bleeding were lower in women than in men (aOR, 0.94 [95% CI, 0.93-0.95]; P < 0.001; Table 3, Fig. 1). In the STEMI subgroup analysis, women were at increased odds of all complications (MACCE, mortality, bleeding, and stroke) (Supplemental Table S3). In a subgroup analysis of all patients who underwent PCI, women were associated with increased odds of all complications, including MACCE (aOR, 1.27 [95% CI, 1.26-1.29]), mortality (aOR, 1.2 [95% CI, 1.18-1.22]), bleeding (aOR, 1.20 [95% CI, 1.20-1.24]), and stroke (aOR, 1.49 [95% CI, 1.45-1.53]; P < 0.001 for all; Table 4).
Table 4

Adjusted odds of in-hospital adverse outcomes in females who underwent PCI∗

VariablesOR (95% CI)P
MACCE1.27 (1.26-1.29)< 0.001
All-cause mortality1.20 (1.18-1.22)< 0.001
All-cause bleeding1.22 (1.20-1.24)< 0.001
Stroke1.49 (1.45-1.53)< 0.001

OR, odds ratios; CI, confidence interval; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications).

Reference group is males.

Adjusted odds of in-hospital adverse outcomes in females who underwent PCI∗ OR, odds ratios; CI, confidence interval; MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications). Reference group is males. Over 12 years, there was a gradual decline in adverse event rates in both sexes (Fig. 3). However, in each year, the event rates of adverse outcomes were persistently higher in women compared with men (P for trend < 0.001’ Supplemental Table S4). Throughout the years studied, women were more likely to die, or have a major adverse cardiovascular event or stroke than men; except for major bleeding complications (P for trend < 0.001). Odds for major bleeding complications were similar in women compared with men initially, although from approximately 2009, the odds for bleeding were consistently higher in women compared with men with the highest values in 2014 (aOR, 1.2 [95% CI, 1.15-1.25]; P < 0.001; Supplemental Table S5, Supplemental Fig. S4). Similar trends were observed in the STEMI subgroup with consistently increased risk in women compared with men in almost all outcomes in the studied years except bleeding risk (P for trend < 0.001). Initially the trends of bleeding risk suggested lower odds in women. However, this pattern reversed in 2009, in which women had 35% (95% CI, 1.27- 1.44; P < 0.001) increased risk compared with men, after which the odds continued to be higher (Supplemental Table S7).
Figure 3

In-hospital adverse outcomes according to sex from 2004 to September 31, 2015. P < 0.001 for all trends. MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications).

In-hospital adverse outcomes according to sex from 2004 to September 31, 2015. P < 0.001 for all trends. MACCE, major adverse cardiac and cerebrovascular events (composite of mortality, acute stroke/transient ischemic attack and cardiac complications).

Discussion

To our knowledge, our study is the largest representative study of more than 7 million AMI admissions in the United States to report trends in sex-based differences in management and adverse outcomes over 12 years. Over the last decade, we witnessed improved awareness in sex-based cardiovascular risks, wider adoption of invasive management, and significant advances in the pharmacological management of acute coronary syndromes. Yet, we report no significant changes in disparities in AMI treatments and outcomes among the sexes. Women are still less likely to receive CA or PCI, and continue to have worse adverse outcomes compared with men. Even when women were offered PCI, their outcomes remained worse than men. The 2014 American and the 2020 European society guidelines in the management of acute coronary syndromes do not differentiate between sexes, with no sex-specific differences in recommendations around the receipt of invasive management or medical therapies.21, 22, 23 Despite this, our analysis suggests that women are 10%-20% less likely to receive invasive therapies and more likely to have worse outcomes than men. The differences in management and outcomes between sexes have not narrowed over time. Furthermore, this analysis was adjusted for hospital-level factors (bed size, region, and location/teaching status) to alleviate any hospital-related effects. Similar findings have been reported in older studies in which trends over a relatively short period were investigated. An analysis of 78,254 patients with AMI from the Get With The Guidelines (GWTG)-coronary artery disease (CAD) registry between 2001 and 2006 showed no difference in adjusted in-hospital mortality among the sexes in the overall AMI cohort (aOR, 1.04; 95% CI, 0.99-1.10) with women only at an increased risk of mortality only in the STEMI subgroup (aOR, 1.12; 95% CI, 1.02-1.23). In a more recent study, Stehli et al. reported on in-hospital and 30 days post-AMI outcomes of 13,451 patients between 2013 and 2016 from the Victorian Cardiac Outcomes registry and showed the worst outcomes in the STEMI subgroup in women (mortality: 8.4% vs 5.7%; bleeding: 3.5% vs 1.8%; P < 0.001 for both). Differences in outcomes between sexes could very well be related to the receipt and timing of invasive treatments. Women consistently have a higher risk profile at presentation compared with men, and are commonly older, have a greater comorbidity burden,, and a higher prevalence of nonconventional risk factors,, and are therefore less likely to be managed invasively. Similarly, sex bias or patient refusal of invasive cardiac procedures could mediate lower CA utilization in female patients., Even in patients at highest risk of ischemic complications, a contemporary study in 137,265 patients with NSTEMI has shown that women with high Global Registry of Acute Coronary Events (GRACE) scores were less likely to receive invasive management compared with men. Even when they received an invasive strategy, it was consistently delayed compared with men. In the STEMI subgroup, time to primary PCI was significantly greater in women than in men, irrespective of whether they had chest pain symptoms. Udell et al. evaluated differences in management in 104,817 STEMI patients from the GWTG-ACS database (2003-2008) with women 15% less likely to experience a door-to-balloon within 90 minutes than men even after adjustment for differences in baseline characteristics. Also, Leurent et al. observed significant differences in women compared with men among 5000 STEMI cases from the French registry in time from first medical contact to balloon inflation or thrombus aspiration (100 vs 94 minutes; P < 0.05), use of radial access (40% vs 51%; P < 0.001), death (9% vs 4%; P < 0.001), and even use of guideline-directed medical therapy at discharge. Interestingly, Setoguchi et al. reported no significant sex-related differences in the management of AMI with even lower mortality in women among patients aged 75 years or older. However, a smaller sample size (1625), a higher proportion of female patients (approximately 80%), and different time period (1999-2000) could play a role for differing findings. However, it is important to note that several other factors could play a role in the observed sex gap in invasive management. Women, compared with men, have higher rates of AMI with nonobstructive coronary arteries (plaque erosion, coronary spasm, microvascular dysfunction, and stress-induced myocardial infarction), spontaneous coronary artery dissection, as well as type II AMI. Johnston et al. reported on the sex prevalence of AMI in patients with nonobstructive CAD among 95,849 patients (2005-2010) from the Swedish Coronary Angiography and Angioplasty Registry (SCAAR). The prevalence of nonobstructive CAD in the STEMI group was 7% (6% in men vs 10% in women), and 17% in the NSTEMI group (11% in men vs 28% in women). Interestingly, we observed that the odds of bleeding were approximately 10% lower in women compared with men initially; although around 2009, the risk changed with a consistently higher risk in the order of 10%-20% observed in women. Higher bleeding risk in women compared with men could be multifactorial, with factors such as differences in response to antiplatelets, certain medications,, and thrombolytic therapy, smaller body habitus and artery sizes,, as well as procedural factors (such as access site choice)., Other studies have confirmed the increased risk of major bleeding in women; for example, Nanna et al. reported higher rates of bleeding complications in 3041 patients older than 75 years who were hospitalized for AMI from the Comprehensive Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction (SILVER-AMI) in women with STEMI (26.2% vs 15.6%; P < 0.001) but not NSTEMI (17.8% vs 15.7%; P = 0.21). An important finding in our study is that even when women are treated with PCI, their outcomes remain worse, and this did not change over time. Although this elevated risk in women could be multifactorial, some of the factors could be avoided where possible. For example, in a recent study, Daugherty et al. investigated sex and bleeding risk associated with the use of bleeding-avoiding strategies (BAS) of bivalirudin, radial artery access, and closure devices among patients who underwent PCI, from 2008 to 2011. Among > 185,000 women who underwent PCI, the bleeding rate was reduced by 50% (12.5% vs 6.2%; P < 0.01) if any BAS was used. This reduction in bleeding events in women was even more significant than that observed in men (6.2% vs 3.0%; P < 0.01). Overall, BAS were less likely to be used in women compared with men and fewer women had PCI using radial access compared with men., Additionally, superiority of potent purinergic receptor P2Y12 inhibitors against thrombotic events in PCIs has been shown in trials. However, studies suggested underuse in women. For example, the association between the use of different types of purinergic receptor P2Y12 inhibitors and outcomes post primary PCI, was examined in > 89,000 patients from the British Cardiovascular Intervention registry. Women were more likely to receive clopidogrel and less likely to receive more potent antiplatelet treatments. The worse outcomes observed after PCI in women do not appear to be related to lesion complexity. An observational retrospective study in which CAD complexities were compared in 29,265 AMI patients treated in the Netherlands showed that women had less extensive CAD, with higher rates of single-vessel disease compared with men (49.4% vs 46.9%; P < 0.001) and lower rates of multivessel disease (47.2% vs 50.8%; P < 0.001). Despite less complex disease in women, women younger than 70 years of age had higher rates of mortality (7.3% vs 5.6%; P < 0.001). Another prospective study evaluated sex-based differences in patients with 100,704 drug-eluting stents (DES) implanted between 2005 and 2009 in Germany. Women, compared with men, had lower rates of use of DES in those with NSTEMI (24.8% vs 27.3%; P < 0.0001) especially in women older than 75 years, although no significant differences use of DES were observed in the STEMI group. There are several limitations to the present study. First, the data collected reflect in-patient outcomes only; longer follow-ups of adverse events would provide a more complete understanding of sex differences in outcomes. Second, individual risk factors, details regarding coronary anatomy, and time frames such as door-to-balloon time were not available in the NIS; this could provide further insight as to whether there are any sex-related differences in the complexity of coronary lesions and procedure approaches as well as details of timing of the index procedure. Similarly, the study lacks granularity regarding the “coronary artery dissection” variable, which did not include only iatrogenic events. Furthermore, no data regarding medications, antithrombotic therapy, Killip class, left ventricular ejection fraction, and creatinine clearance is captured in the NIS. These data might reveal sex differences in the prescription of different antiplatelet regimens, utilization and optimization of guideline-directed medical therapy, and their effect on MACCE. Also, in this study we were not able to match specific cardiovascular pathophysiologic features of AMI with the outcomes, which could have an effect on prognosis. Likewise, in this study we present a sex-based analysis and we did not account for gender-related aspects, which could also have a role in management bias. Finally, because NIS is an administrative database, there is always a risk of reporting and coding errors that represent a potential bias as is the under-reporting of other comorbidities. Furthermore, the ICD-9 codes in the data set are validated for the purpose of cardiovascular research. In conclusion, our nationwide temporal analysis shows persistent differences in the management and outcomes of AMI among the sexes over a period of 12 years, with women less likely to receive invasive therapies, and more likely to experience adverse outcomes including mortality, major bleeding, and stroke. The gap between sexes has not narrowed over time. A sex-based approach to the management of AMI, taking in to account the clinical and biological differences previously described, could possibly eliminate the persistent disparity in outcomes in the near future.

Funding Sources

None.

Disclosures

The authors have no conflicts of interest to disclose.
  50 in total

Review 1.  Platelet function and long-term antiplatelet therapy in women: is there a gender-specificity? A 'state-of-the-art' paper.

Authors:  Giuseppe Patti; Raffaele De Caterina; Rosanna Abbate; Felicita Andreotti; Luigi Marzio Biasucci; Paolo Calabrò; Gabriele Cioni; Giovanni Davì; Germano Di Sciascio; Enrica Golia; Paolo Golino; Gelsomina Malatesta; Fabio Mangiacapra; Rossella Marcucci; Annunziata Nusca; Vito Maurizio Parato; Vittorio Pengo; Domenico Prisco; Fabio Pulcinelli; Giulia Renda; Elisabetta Ricottini; Benedetta Ruggieri; Francesca Santilli; Francesco Sofi; Marco Zimarino
Journal:  Eur Heart J       Date:  2014-07-14       Impact factor: 29.983

2.  Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction: The VIRGO Study.

Authors:  Erica C Leifheit-Limson; Gail D'Onofrio; Mitra Daneshvar; Mary Geda; Héctor Bueno; John A Spertus; Harlan M Krumholz; Judith H Lichtman
Journal:  J Am Coll Cardiol       Date:  2015-11-03       Impact factor: 24.094

3.  Sustained sex-based treatment differences in acute coronary syndrome care: Insights from the American Heart Association Get With The Guidelines Coronary Artery Disease Registry.

Authors:  Jacob A Udell; Gregg C Fonarow; Thomas M Maddox; Christopher P Cannon; W Frank Peacock; Warren K Laskey; Maria V Grau-Sepulveda; Eric E Smith; Adrian F Hernandez; Eric D Peterson; Deepak L Bhatt
Journal:  Clin Cardiol       Date:  2018-05-11       Impact factor: 2.882

Review 4.  Gender differences in the effects of cardiovascular drugs.

Authors:  J Tamargo; G Rosano; T Walther; J Duarte; A Niessner; J C Kaski; C Ceconi; H Drexel; K Kjeldsen; G Savarese; C Torp-Pedersen; D Atar; B S Lewis; S Agewall
Journal:  Eur Heart J Cardiovasc Pharmacother       Date:  2017-07-01

5.  Baseline risk, timing of invasive strategy and guideline compliance in NSTEMI: Nationwide analysis from MINAP.

Authors:  Muhammad Rashid; Nick Curzen; Tim Kinnaird; Claire A Lawson; Phyo K Myint; Evangelos Kontopantelis; Mohamed O Mohamed; Ahmad Shoaib; Chris P Gale; Adam Timmis; Mamas A Mamas
Journal:  Int J Cardiol       Date:  2019-11-28       Impact factor: 4.164

6.  Sex- and gender-related risk factor burden in patients with premature acute coronary syndrome.

Authors:  Jin Choi; Stella Styliani Daskalopoulou; George Thanassoulis; Igor Karp; Roxanne Pelletier; Hassan Behlouli; Louise Pilote
Journal:  Can J Cardiol       Date:  2013-11-13       Impact factor: 5.223

7.  Gender differences in presentation, management and inhospital outcome in patients with ST-segment elevation myocardial infarction: data from 5000 patients included in the ORBI prospective French regional registry.

Authors:  Guillaume Leurent; Ronan Garlantézec; Vincent Auffret; Jean Philippe Hacot; Isabelle Coudert; Emmanuelle Filippi; Antoine Rialan; Benoît Moquet; Gilles Rouault; Martine Gilard; Philippe Castellant; Philippe Druelles; Bertrand Boulanger; Josiane Treuil; Bertrand Avez; Marc Bedossa; Dominique Boulmier; Marielle Le Guellec; Hervé Le Breton
Journal:  Arch Cardiovasc Dis       Date:  2014-06-06       Impact factor: 2.340

8.  A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

Authors:  Jonathan P DeShazo; Mark A Hoffman
Journal:  BMC Health Serv Res       Date:  2015-09-15       Impact factor: 2.655

9.  Sex differences in risk factors for myocardial infarction: cohort study of UK Biobank participants.

Authors:  Elizabeth R C Millett; Sanne A E Peters; Mark Woodward
Journal:  BMJ       Date:  2018-11-07

10.  Sex differences in characteristics and outcome in acute coronary syndrome patients in the Netherlands.

Authors:  M E Ten Haaf; M Bax; J M Ten Berg; J Brouwer; A W Van't Hof; R J van der Schaaf; P R Stella; R M Tjon Joe Gin; P A Tonino; A G de Vries; F Zijlstra; E Boersma; Y Appelman
Journal:  Neth Heart J       Date:  2019-05       Impact factor: 2.380

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  3 in total

Review 1.  A Narrative Review of the Association Between Depression and Heart Disease Among Women: Prevalence, Mechanisms of Action, and Treatment.

Authors:  Danielle Rome; Alyssa Sales; Rebecca Leeds; John Usseglio; Talea Cornelius; Catherine Monk; Kim G Smolderen; Nathalie Moise
Journal:  Curr Atheroscler Rep       Date:  2022-06-25       Impact factor: 5.967

Review 2.  Sex Differences in Acute Coronary Syndromes: A Global Perspective.

Authors:  F Aaysha Cader; Shrilla Banerjee; Martha Gulati
Journal:  J Cardiovasc Dev Dis       Date:  2022-07-27

3.  Age and Sex Differences and Temporal Trends in the Use of Invasive and Noninvasive Procedures in Patients Hospitalized With Acute Myocardial Infarction.

Authors:  Vu Hoang Tran; Jordy Mehawej; Donna M Abboud; Mayra Tisminetzky; Essa Hariri; Andreas Filippaios; Joel M Gore; Jorge Yarzebski; Jordan H Goldberg; Darleen Lessard; Robert Goldberg
Journal:  J Am Heart Assoc       Date:  2022-08-24       Impact factor: 6.106

  3 in total

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