Literature DB >> 35859592

Sex-Related Differences in Long-Term Outcomes After Early-Onset Myocardial Infarction.

Maddalena Ardissino1, Adam J Nelson2,3, Giuseppe Maglietta4,5, Guidantonio Malagoli Tagliazucchi6, Caterina Disisto5, Patrizia Celli7, Maurizio Ferrario8, Umberto Canosi8,9, Carlo Cernetti10, Francesco Negri10, Piera Angelica Merlini9,11, Marco Tubaro12, Carlo Berzuini13, Chiara Manzalini5, Gianfranco Ignone14, Carlo Campana15, Luigi Moschini16, Elisabetta Ponte17, Roberto Pozzi18, Raffaela Fetiveau19, Silvia Buratti5, Elvezia Maria Paraboschi20, Rosanna Asselta20, Andrea Botti5, Domenico Tuttolomondo5, Federico Barocelli5, Serena Bricoli5, Andrea Biagi5, Rosario Bonura5, Tiziano Moccetti21, Antonio Crocamo5, Giorgio Benatti5, Giorgia Paoli5, Emilia Solinas5, Maria Francesca Notarangelo5, Elisabetta Moscarella22, Paolo Calabrò22, Stefano Duga20, Giulia Magnani5, Diego Ardissino5,9.   

Abstract

Importance: There is growing awareness of sex-related differences in cardiovascular risk profiles, but less is known about whether these extend to pre-menopausal females experiencing an early-onset myocardial infarction (MI), who may benefit from the protective effects of estrogen exposure.
Methods: A nationwide study involving 125 Italian Coronary Care Units recruited 2,000 patients between 1998 and 2002 hospitalized for a type I myocardial infarction before the age of 45 years (male, n = 1,778 (88.9%). Patients were followed up for a median of 19.9 years (IQR 18.1-22.6). The primary composite endpoint was the occurrence of cardiovascular death, non-fatal myocardial re-infarction or non-fatal stroke, and the secondary endpoint of hospitalization for revascularisation by means of a percutaneous coronary intervention (PCI) or coronary artery bypass surgery (CABG).
Results: ST-elevation MI was the most frequent presentation among both men and women (85.1 vs. 87.4%, p = ns), but the men had a greater baseline coronary atherosclerotic burden (median Duke Coronary Artery Disease Index: 48 vs. 23; median Syntax score 9 vs. 7; both p < 0.001). The primary composite endpoint occurred less frequently among women (25.7% vs. 37.0%; adjusted hazard ratio: 0.69, 95% CI 0.52-0.91; p = 0.01) despite being less likely to receive treatment with most secondary prevention medications during follow up. Conclusions: There are significant sex-related differences in baseline risk factors and outcomes among patients with early-onset MI: women present with a lower atherosclerotic disease burden and, although they are less frequently prescribed secondary prevention measures, experience better long-term outcomes. Trial Registration: 4272/98 Ospedale Niguarda, Ca' Granda 03/09/1998.
Copyright © 2022 Ardissino, Nelson, Maglietta, Malagoli Tagliazucchi, Disisto, Celli, Ferrario, Canosi, Cernetti, Negri, Merlini, Tubaro, Berzuini, Manzalini, Ignone, Campana, Moschini, Ponte, Pozzi, Fetiveau, Buratti, Paraboschi, Asselta, Botti, Tuttolomondo, Barocelli, Bricoli, Biagi, Bonura, Moccetti, Crocamo, Benatti, Paoli, Solinas, Notarangelo, Moscarella, Calabrò, Duga, Magnani and Ardissino.

Entities:  

Keywords:  baseline risk differences; gender; long term outcomes; myocardial infarction; young

Year:  2022        PMID: 35859592      PMCID: PMC9289186          DOI: 10.3389/fcvm.2022.863811

Source DB:  PubMed          Journal:  Front Cardiovasc Med        ISSN: 2297-055X


Introduction

Cardiovascular disease is a major cause of morbidity and mortality in both men and women. However, sex-related differences in the presentation, treatment and outcomes of myocardial infarction (MI) have been extensively described with women more likely to be older, have greater risk factor burden and more varied symptoms at presentation. Women also tend to have worse short- and long-term outcomes which may be compounded by consistent observations that women are less likely to receive secondary prevention medications and achieve risk factor control (1–10). These differences have so far mostly been addressed in relation to the general population of MI patients, and few studies so far have characterized sex-related differences in long-term outcomes after an early-onset MI. Early-onset MI is a major health burden because, although the rates of MI as a whole have decreased, those with early-onset MI have remained the same. Furthermore, the affected patients are at high risk of a recurrence and as many as one-third will experience at least one other major cardiovascular event within 20 years of the first (11, 12). Characterizing the long-term outcomes of early-onset MI by sex is also of importance given the modulating effect of estrogen exposure on cardiovascular risk in females. The Italian Genetic Study on Early-onset Myocardial Infarction is a multi-center, nationwide study designed to evaluate risk factors and outcomes of patients experiencing an MI before the age of 45 years. We aimed to explore sex-related differences in the presentation, treatment and long-term clinical outcomes of patients who suffer an early-onset MI.

Methods

The Italian Genetic Study on Early-onset Myocardial Infarction is a nation-wide project aimed at investigating the genetics of susceptibility to MI. It consists of an initial case-control study followed by a prospective cohort study designed to describe the long-term outcomes of the cases (13).

Patient Population

The Italian Genetic Study on Early-onset Myocardial Infarction enrolled consecutive patients from 125 Italian Coronary Care Units between 1998 and 2002. Patients under the age of 45 years who had undergone coronary angiography during hospitalization for their index MI were eligible for participation. The initial diagnosis of the index event was based on a combination of: (1) symptoms suggesting myocardial ischemia; (2) electrocardiographic changes consistent with acute myocardial ischemia; and (3) an increase in CK-MB levels to more than twice the upper limit of normal with a typical rise and fall pattern.

Study Protocol

The protocol was approved by the Ethics Committee of the coordinating center, and all of the study patients gave their written informed consent to enrolment. A standardized case report form (CRF) was completed for every patient suitable for enrolment in order to collect detailed information concerning their cardiovascular risk factors, lifestyle habits and medications, the history of any cardiovascular diseases affecting each member of their families (including first- and second-degree relatives), and the patients' own clinical, demographic and treatment characteristics. The definitions of all of these factors are described in detail in Supplementary Material 1. The patients were followed up in order to track subsequent hospital admissions for cardiovascular or ischemic cerebrovascular events. The occurrence of these endpoints was assessed by means of scheduled outpatient visits and standardized telephone follow up. Every attempt was made to contact all of the patients or their primary care physicians; if this was not possible, a member of their family was contacted. If an event was reported by a patient, relative or general practitioner, the related medical record(s) were obtained.

Coronary Angiography

All of the patients underwent coronary angiography at the time of the index event. Coronary arteries were considered normal in the absence of angiographic stenosis: a narrowing of <70% (or <50% in the case of the left main coronary artery) was considered non-significant coronary artery stenosis, and a narrowing of > 70% (or >50% in the case of the left main coronary artery) was considered significant coronary artery stenosis. Single-vessel disease was recorded when a significant stenosis was identified in only one major coronary artery, and multi-vessel disease when a significant stenosis was identified in two or more major epicardial coronary arteries. Left main coronary artery disease was considered multi-vessel disease. The total extent and complexity of the angiographic coronary artery disease burden was quantified using the Duke Coronary Artery Disease Index (14) and the Syntax score (15).

Endpoints

The primary composite endpoint was the occurrence of cardiovascular death, the re-occurrence of non-fatal MI, or the occurrence of a non-fatal ischemic stroke. All of the reported deaths were verified on the basis of death certificates specifying the cause(s) of death, and each reported event was investigated by means of source data verification. The outcome of cardiovascular death was defined as any death attributed to a cardiovascular cause on the death certificate. The re-occurrence of MI was defined as any hospitalization during follow-up ending with a discharge diagnosis of MI. The occurrence of stroke was defined as hospitalization ending with a discharge diagnosis of ischemic stroke. The secondary study endpoint was any hospital admission that involved revascularisation by means of a percutaneous coronary intervention (PCI) or coronary artery by-pass graft (CABG) but did not end in a diagnosis of MI. All of the documented events with verified source data were adjudicated by a dedicated Clinical Events Committee consisting of two cardiologists; in the case disagreement, the opinion of a third cardiologist was sought.

Data Management

The study's clinical data were recorded using an off-line electronic CRF (e-CRF). The demographic, clinical, angiographic and treatment characteristics of all patients were collected at the time of the index event and recorded in the e-CRF along with events ascertained during follow up. Visual Basic for Applications (VBA) and SQL scripts were used to manage the database and make preliminary data checks during data entry. In the case of missing data, queries were generated and sent to study sites for resolution.

Statistical Analysis

The study cohort was divided into females and males, and descriptive statistics were used to compare the baseline demographic and clinical characteristics of the two groups. Univariable logistic regression analysis was used to evaluate the relationship between covariates and outcomes. Variables included age, weight, height, body mass index, type of acute coronary syndrome at the time of the index event (non-ST elevation MI [NSTEMI] vs. ST elevation MI [STEMI]), family history of coronary artery disease (CAD), hypertension, dyslipidemia, diabetes, alcohol consumption, smoking, physical activity, cocaine use, estrogen replacement therapy, previous thromboembolic events, ejection fraction, pattern and extent of angiographic disease burden (Duke Coronary Artery Disease Index, Syntax score, presence of multivessel disease), presence and mode of coronary artery revascularisation, and pharmacological treatments. The variables with a p-value of <0.2 were selected for inclusion in a comprehensive logistic regression model of long-term outcomes that was subsequently simplified by means of the step-wise backward selection of independent predictors, which were then used to make an adjusted proportional hazard analysis of long-term outcomes. The time to the first endpoint and the time to all endpoints by type were analyzed for their dependence on their putative predictors using Cox proportional hazard models. The proportional hazard assumption for the Cox regression model was confirmed by means of Schoenfeld's residuals test. The cumulative incidence of primary endpoints during follow-up was graphically depicted using Aalen-Johansen curves, and the significance of the differences between the hazard sub-distributions was tested using the Fine-Gray model. An Andersen-Gill intensity model analysis was not pre-specified, but was made in order to account for the repeated occurrence of all of the components of the primary and secondary endpoints during the study period using a time-dependent model. All of the tests were two-sided, and a p-value of 0.05 was considered statistically significant. Given the consecutive nature of the enrolment, there was an uneven distribution of patients across sexes. For this reason, a post-hoc power calculation was performed based based on the number of patients by sex (222 females, 1,778 males), and incidence of primary events (25.7% vs. 37.0%), and alpha = 0.05. This yielded a power of 93.3%. The statistical analyses were made using R Statistical software, version 3.6.0 (R Foundation for Statistical Computing, Vienna, Austria).

Results

The Italian Genetic Study on Early-onset Myocardial Infarction enrolled a total of 2,000 patients who had experienced a first MI before they were 45 years old: 1,778 men (88.9%) and 222 women (11.1%). The baseline demographic, clinical, angiographic and treatment characteristics of the study population are shown in Table 1. Median age at the time of presentation was 41 years (interquartile range [IQR] 37–43), and was similar among the men (41, IQR 37–43) and women (40, IQR 36–43).
Table 1

Baseline demographic, clinical, angiographic and treatment characteristics of the study population by sex.

All (n = 2,000) Females (n = 222) Males (n = 1,778) P-value
DEMOGRAPHIC CHARACTERISTICS
Median age, years (IQR)41(37–43)40(36–43)41(37–43)ns
Median weight, kg (IQR)78(70–88)60(53–68)80(72–90)<0.001
Median height, cm (IQR)172(168–177)160(156–165)173(169–178)<0.001
Median BMI, kg/cm2 (IQR)26.3(24.1–29.1)23.2(21.5–25.9)26.6(24.3–28.4)ns
CLINICAL CHARACTERISTICS
Index event STEMI1,707(85.4%)194(87.4%)1,513(85.1%)ns
Index event NSTEMI293(14.6%)28(12.6%)265(14.9%)ns
Family history of CAD1,627(81.3%)183(82.4%)1,444(81.2%)ns
Hypertension536 (26.8%)59(26.6%)477(26.8%)ns
Dyslipidemia1,184/1,936 (61.2%)101/218(46.3%)1,083/1,718(63%)<0.001
Diabetes154(8.0%)13(6.0%)141(8.0%)ns
Alcohol consumption1,225/1,994(61.4%)60(27.0%)1,165/1,772(65.8%)<0.001
Smokers920(46.0%)95(42.8%)825(46.4%)<0.001
Exercise
None1,067/1,991(53.6%)149(67.1%)917/1,769(51.8%)<0.001
Moderate418/1,991(21%)25(11.3%)393/1,769(22.2%)
Intense507/1,991(25.4%)48(21.6%)459/1,769(26%)
Cocaine use57(2.9%)4(1.8%)53(3.0%)ns
Estrogen therapyN/A97/218(44.5%)N/AN/A
Previous thromboembolism317(15.9%)34(15.3%)283(15.9%)ns
CORONARY ANGIOGRAPHY
Coronary artery disease
Normal264(13.2%)61(27.5%)203(11.4%)<0.001
Non-significant90(4.5%)20(9.0%)70(4.0%)
Single-vessel disease896(44.8%)104(46.8%)792(44.5%)
Multi-vessel disease750(37.5%)37(16.7%)713(40.1%)
Median Duke Coronary Artery Disease Index (IQR)48(23–56)23(0–48)48(23–56)<0.001
Median Syntax score, (IQR)9(4–15)7(0–11)9(5–15)<0.001
Spontaneous coronary artery dissection24(1.2%)12(5.4%)12(0.7%)<0.001
Revascularisation at time of index event839(42%)82(36.9%)757(42.5%)ns
PCI at time of index event669(33.5%)72(32.4%)597(33.5%)ns
CABG at time of index event170(8.5%)10(4.5%)160(9%)0.02
TREATMENT *
Beta-blocker1,629(81.4%)166(74.8%)1,463(82.3%)<0.02
Aspirin1,860(93.0%)192(86.5%)1,668(93.8%)<0.001
P2Y12 inhibitor1,009(50.5%)96(43.2%)913(51.3%)<0.02
ACE-inhibitor or ARB865(43.3%)73(32.9%)792(44.5%)<0.001
Statin1,949(97.5%)214(96.4%)1,735(97.6%)ns

The denominator is shown in the case of missing data.

Treatment received at any stage during follow-up. ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blockade. CABG, coronary artery bypass graft; IQR, interquartile range; CVD, cardiovascular disease; NSTEMI, non-ST segment elevation myocardial infarction; PCI, percutaneous coronary intervention. STEMI, ST segment elevation myocardial infarction.

Baseline demographic, clinical, angiographic and treatment characteristics of the study population by sex. The denominator is shown in the case of missing data. Treatment received at any stage during follow-up. ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blockade. CABG, coronary artery bypass graft; IQR, interquartile range; CVD, cardiovascular disease; NSTEMI, non-ST segment elevation myocardial infarction; PCI, percutaneous coronary intervention. STEMI, ST segment elevation myocardial infarction. There were no significant sex-related differences in the frequency of a positive family history of CAD, the presence of hypertension or diabetes, or the occurrence of a previous thromboembolic event. A significantly higher proportion of the men were smokers (46.4% vs. 42.8%; p < 0.001) and consumed alcohol (65.8% vs. 27.0%; p < 0.001). Dyslipidemia was more frequent in men (63% vs. 46.3%; p < 0.001), as was self-reported exercise (p < 0.001). The majority of the cohort (85.4%) presented with STEMI, and there was no sex-related difference in the proportion presenting with STEMI compared to NSTEMI. Women were more than twice as likely to have normal or non-significant coronary artery stenoses at the time of angiography, and much more likely to have spontaneous coronary artery dissection (SCAD) (5.4% vs. 0.7%, p < 0.001). In contrast, men were significantly more likely to have multi-vessel disease (40.1% vs. 16.7%, p < 0.001). The greater extent and complexity of the angiographic coronary artery disease burden among the men was reflected by their higher median Duke Coronary Artery Disease Index (48 vs. 23, p < 0.001) and Syntax score (9 vs. 7, p < 0.001). During hospitalization for the index event, rates of PCI were similar among men and women (33.5% vs. 32.4%; p = ns) however a greater proportion of men (9.0% vs. 4.5%; p = 0.02) underwent CABG. At discharge, men were significantly more likely to be prescribed beta-blockers (82.3% vs. 74.8%; p = 0.02), aspirin (93.8% vs. 86.5%; p < 0.001), P2Y12 inhibitors (51.3% vs. 43.2%, p = 0.02), and ACE-inhibitors or ARBs (44.5% vs. 32.9%; p < 0.001). Statin treatment was similar in the two groups (97.5% vs. 96.4%, p = ns).

Primary and Secondary Endpoints

The patients were followed up for a median 19.9 years (IQR 18.1–22.6) or 39,535 person-years. Follow-up was complete in 1,984 patients (99.2%), and vital status was ascertained in 1,988 (99.4%). A primary endpoint was experienced by 714 patients (36%): 153 died of cardiovascular causes, 479 experienced a recurrent non-fatal MI, and 82 an acute ischemic stroke. Table 2 and Figures 1A,B show the number and rate of first occurrences of the primary and secondary endpoints by sex.
Table 2

First occurrence of primary and secondary endpoints during follow-up by sex.

Events All patients (n = 1,984) Females (n = 218) Males (n = 1,766) Adjusted hazard ratio (F:M) 95% confidence interval P-value
Primary endpoints
Primary composite endpoint714 (35.9%)57 (26.1%)657 (37.2%)0.690.52–0.910.01
Cardiovascular death153 (7.7%)9 (4.1%)144 (8.1%)0.570.30–1.080.082
Non-fatal myocardial re-infarction479 (24.1%)31 (14.2%)448 (25.4%)0.530.37–0.77<0.001
Non-fatal ischemic stroke82 (4.1%)17 (7.8%)65 (3.7%)2.021.17–3.490.012
Secondary endpoints
Hospitalization for revascularisation484 (24.4%)34 (15.6%)450 (25.5%)0.600.41–0.860.006
By means of PCI301 (15.2%)21 (9.6%)280 (15.9%)0.590.38–0.910.018
By means of CABG183 (9.2%)13 (6.0%)170 (9.6%)0.610.35–1.070.084
Figure 1

(A) Cumulative incidence of the first primary endpoint by sex. (B) Cumulative incidence of the first secondary endpoint by sex. (C) Cumulative incidence of all primary endpoints by sex. (D) Cumulative incidence of all secondary endpoints by sex.

First occurrence of primary and secondary endpoints during follow-up by sex. (A) Cumulative incidence of the first primary endpoint by sex. (B) Cumulative incidence of the first secondary endpoint by sex. (C) Cumulative incidence of all primary endpoints by sex. (D) Cumulative incidence of all secondary endpoints by sex. During follow-up, the primary composite endpoint occurred less frequently among the women (26.1% vs. 37.2%; adjusted hazard ratio (aHR) 0.69, 95% CI 0.52–0.91; p = 0.01). Cardiovascular death was also less frequent among women although this did not reach statistical significance (4.1% vs. 8.1%, aHR 0.57, 95% CI 0.30–1.08, p = 0.082). Non-fatal myocardial re-infarction was significantly less frequent among the women (14.2% vs. 25.4%; aHR 0.53, 95% CI 0.37–0.77; p < 0.001), although women were more likely to experience a non-fatal ischemic stroke (7.8% vs. 3.7%; aHR 2.02, 95%CI 1.17–3.49; p = 0.012). The occurrence of hospitalization for revascularisation was significantly less frequent among the women (15.6% vs. 25.5%; aHR 0.60, 95%CI 0.41–0.86; p = 0.006), driven largely by statistically less frequent PCI (9.6% vs. 15.9%; aHR 0.59, 95% CI 0.38–0.91; p = 0.018) and directionally consistent lower rates CABG (6.0% vs. 9.6%, aHR 0.61, 95% CI 0.35–1.07, p = 0.084). The study population as a whole experienced a total of 973 composite primary events including repeated events. Table 3 and Figures 1C,D show the number of all occurrences of primary and secondary endpoints by sex. The total number of primary endpoints was significantly lower among the women (aHR 0.75; 95% CI 0.59–0.96; p = 0.02). With respect to the individual components of the composite, women were less likely to experience cardiovascular death (aHR 0.57, 95% CI 0.35–0.95; p = 0.032) or non-fatal myocardial re-infarction (aHR 0.62, 95% CI 0.45–0.86; p = 0.004). While not reaching statistical significance, there was a non-significant trend toward higher rates of ischaemic stroke in women (aHR1.6; 95% CI 0.97–2.7; p = ns) and a trend toward lower rates of admission for further revascularization (aHR 0.78; 95% CI 0.58–1.04; p = ns).
Table 3

Total occurrence of primary and secondary endpoints during follow-up by sex.

Events All patients (n = 1,984) Females (n = 218) Males (n = 1,766) Adjusted hazard ratio (F:M) 95% confidence interval P-value
Primary endpoints
Primary composite endpoint973758980.750.59–0.960.02
Cardiovascular death246162300.570.35–0.950.032
Non-fatal myocardial re-infarction617415760.620.45–0.860.004
Non-fatal ischemic stroke11018921.60.97–2.7ns
Secondary endpoints
Hospitalization for revascularisation671556160.780.58–1.04ns
By means of PCI464394250.770.56–1.07ns
By means of CABG207161910.710.42–1.18ns
Total occurrence of primary and secondary endpoints during follow-up by sex.

Outcome Predictors

Table 4 shows the factors associated with experiencing the primary endpoint during follow-up. Multiple logistic regression analysis identified only two variables that were independently associated among women; hypertension (OR 2.56; 95% CI 1.01–6.58; p = 0.05) and a positive family history of CAD (OR 8.53, 95% CI 1.58–159, p = 0.04). Among men there were six variables with independent associations including the Duke Coronary Artery Disease Index (OR 1.01; 95% CI 1–1.01; p = 0.02), hypertension (OR 1.34; 95% CI 1.01–1.78; p = 0.04), dyslipidemia (OR 1.41; 95% CI 1.1–1.8; p = 0.01), diabetes (OR 2.1; 95% CI 1.33–3.36 p = 0.002), and previous thromboembolic event (OR 2.45; 95% CI 1.71–3.52; p < 0.001). An inverse association with the ejection fraction was noted (OR 0.98 95% CI 0.97–0.99 p = 0.006). The occurrence of a secondary endpoint was independently associated with the Duke Coronary Artery Disease Index (OR 1.02; 95% CI 1.0–1.04; P < 0.02) and diabetes (OR 6.17; 95% CI 1.2–36.5; p = 0.03) among women, and alcohol consumption (OR 0.72; 95% CI 0.55–0.93; p = 0.01), the Duke Coronary Artery Disease Index (OR 1.01; 95% CI 1.01–1.02; p < 0.001), a previous thromboembolic event (OR 1.64; 95% CI 1.15–2.34; p = 0.007), and diabetes (OR 2.88; 95% CI 1.81–4.67; p < 0.001) among men.
Table 4

Independent predictors of recurrence of primary and secondary composite endpoints.

Explanatory variable Adjusted odds ratio 95% confidence interval P-value
PRIMARY COMPOSITE ENDPOINT
Females
Hypertension2.561.01–6.580.05
Family history of CAD8.531.58–1590.04
Males
Ejection fraction0.980.97–0.990.006
Duke Coronary Artery Disease Index1.011.0–1.010.02
Hypertension1.341.01–1.780.04
Dyslipidemia1.411.1–1.80.01
Diabetes2.11.33–3.360.002
Previous thromboembolic event2.451.71–3.52<0.001
SECONDARY COMPOSITE ENDPOINT
Females
Duke Coronary Artery Disease Index1.021.0–1.040.02
Diabetes6.171.2–36.50.03
Males
Alcohol consumption0.720.55–0.930.01
Duke Coronary Artery Disease Index1.011.01–1.02<0.001
Previous thromboembolic event1.641.15–2.340.007
Diabetes2.881.81–4.67<0.001
Independent predictors of recurrence of primary and secondary composite endpoints.

Discussion

This long-term follow up study of a large population of early-onset myocardial infarction patients reveals that, unlike in the general population, women experienced significantly better long-term outcomes than men. It is known that early-onset MI generally has a poor prognosis, with estimates that as many as one-third of affected patients experience death or the recurrence of a major cardiovascular event during the 20 years after the initial MI (10–12) Furthermore, the detailed angiographic description, robust adjudication of outcomes and rigorous event ascertainment with <1% loss to follow up over a median of almost 20 years represent key strengths of this study. An established body of evidence suggests that, among the general MI population of all ages, women have worse in-hospital (8) and long-term outcomes after an acute coronary syndrome, whereas there is little and conflicting evidence concerning young MI cohorts. Seminal studies of administrative data relating to patients aged <60 years and treated in the early 1990s found higher in-hospital (16) and 2-year mortality (17) among women, but others did not (18, 19). Similarly, more recent prospective registries that have deliberately over-enrolled younger female patients show no evidence of sex-related differences in major adverse cardiovascular events after 1 year (10). After multivariable adjustment for traditional risk factors, lipid profiles, angiographic disease and medications prescribed at any point during follow up, the women in our cohort were 30% less likely to experience an adverse cardiovascular outcome during follow-up than the men. Furthermore, although they were more likely to experience a non-fatal stroke, they were half as likely to sustain a non-fatal MIs, and were also less likely to die of cardiovascular causes. There are a number of factors that may have contributed to these findings. Firstly, the effect of a number of known contributors to worse outcomes among women may have been attenuated by our study's enrolment process: only enrolling patients who underwent angiography may have reduced the possibility of a delayed or “atypical” clinical presentation leading to under-investigation, a missed diagnosis and under-treatment, which are known to be more frequent among women (20, 21). Secondly, possible improvements in the care of women over the last 20 years due to a greater awareness and recognition of heart disease in women may have led to more timely investigation and diagnosis. Finally, there are important sex-related differences in the etiology of the index events. The women in the study had a generally similar risk factor profile to that of the men, but their burden of angiography-detected atherosclerotic disease was significantly less. Although MI with no obstructive coronary artery (MINOCA) had not been identified as a separate clinical entity at the time of our cohort's angiography for their index event, we observed more women with MINOCAs and spontaneous coronary artery dissections, and the cohort may feasibly also have suffered more coronary artery vasospasm and takotsubo cardiomyopathy—all of which are more frequent in women and have a favorable impact on prognosis insofar as they are usually stand-alone clinical events. Furthermore, it is known that younger pre-menopausal women have more diffuse, non-obstructive atherosclerosis (22, 23) and higher rates of microvascular dysfunction (24, 25) than older women, and so endogenous hormone levels may have contributed to more benign index events. One of the limitations of this study is that it does not include patients who were troponin negative or did not undergo angiography, which means that its findings cannot be generalized to all patients with an acute coronary syndrome. Furthermore, a number of advances in MI care have occurred since these patients were treated (drug-eluting stents, widespread P2Y12 inhibition, potent low-density lipoprotein lowering) and so the observed recurrent event rates may not reflect outcomes in contemporary clinical practice.

Conclusions

In this very long-term study of the largest series of MI patients aged <45 years who underwent coronary angiography for their index event, almost one-third of patients experienced an adverse cardiovascular outcome over a period of 20 years. The overall adjusted cardiovascular event rates were almost one-third lower in women despite the fact that they received fewer preventive treatments when discharged, although it should be noted that men had a greater burden of angiography-detected atherosclerotic disease at the time of the index event.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Comitato Etico Area Vasta Emilia Nord. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Funding

The Italian Genetic Study on Early-onset Myocardial Infarction was funded by the Associazione per lo Studio della Trombosi in Cardiologia. The follow-up of the patients was funded by the Emilia-Romagna Region: Programma Regione Università Cardiovascular Genetics: from bench to bedside, CUP E35E09000880002.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  25 in total

1.  Temporal Trends and Sex Differences in Revascularization and Outcomes of ST-Segment Elevation Myocardial Infarction in Younger Adults in the United States.

Authors:  Sahil Khera; Dhaval Kolte; Tanush Gupta; Kathir Selvan Subramanian; Neel Khanna; Wilbert S Aronow; Chul Ahn; Robert J Timmermans; Howard A Cooper; Gregg C Fonarow; William H Frishman; Julio A Panza; Deepak L Bhatt
Journal:  J Am Coll Cardiol       Date:  2015-11-03       Impact factor: 24.094

2.  Acute coronary syndrome in young women under 55 years of age: clinical characteristics, treatment, and outcomes.

Authors:  Melinda Davis; Jamie Diamond; Daniel Montgomery; Sangeetha Krishnan; Kim Eagle; Elizabeth Jackson
Journal:  Clin Res Cardiol       Date:  2015-02-17       Impact factor: 5.460

3.  Long-Term Outcomes After Early-Onset Myocardial Infarction.

Authors:  Giuseppe Maglietta; Maddalena Ardissino; Guidantonio Malagoli Tagliazucchi; Caterina Disisto; Piera Angelica Merlini; Antonio Crocamo; Maria Francesca Notarangelo; Paolo Calabrò; Carlo Berzuini; Diego Ardissino
Journal:  J Am Coll Cardiol       Date:  2019-08-31       Impact factor: 24.094

4.  Long-term follow-up of coronary artery disease presenting in young adults.

Authors:  Jason H Cole; Joseph I Miller; Laurence S Sperling; William S Weintraub
Journal:  J Am Coll Cardiol       Date:  2003-02-19       Impact factor: 24.094

5.  Sex differences in 2-year mortality after hospital discharge for myocardial infarction.

Authors:  V Vaccarino; H M Krumholz; J Yarzebski; J M Gore; R J Goldberg
Journal:  Ann Intern Med       Date:  2001-02-06       Impact factor: 25.391

6.  Effect of risk factors on the mechanism of acute thrombosis and sudden coronary death in women.

Authors:  A P Burke; A Farb; G T Malcom; Y Liang; J Smialek; R Virmani
Journal:  Circulation       Date:  1998-06-02       Impact factor: 29.690

7.  Comparison of baseline characteristics, clinical features, angiographic results, and early outcomes in men vs women with acute myocardial infarction undergoing primary coronary intervention.

Authors:  Cheng-I Cheng; Kuo-Ho Yeh; Hsueh-Wen Chang; Teng-Hung Yu; Yen-Hsun Chen; Han-Tan Chai; Hon-Kan Yip
Journal:  Chest       Date:  2004-07       Impact factor: 9.410

8.  Sex differences in cardioangiographic findings after myocardial infarction.

Authors:  S Johansson; R Bergstrand; D Schlossman; K Selin; A Vedin; C Wilhelmsson
Journal:  Eur Heart J       Date:  1984-05       Impact factor: 29.983

9.  Sex differences in medical care and early death after acute myocardial infarction.

Authors:  Hani Jneid; Gregg C Fonarow; Christopher P Cannon; Adrian F Hernandez; Igor F Palacios; Andrew O Maree; Quinn Wells; Biykem Bozkurt; Kenneth A Labresh; Li Liang; Yuling Hong; L Kristin Newby; Gerald Fletcher; Eric Peterson; Laura Wexler
Journal:  Circulation       Date:  2008-12-08       Impact factor: 29.690

10.  Sex-based differences in outcomes after percutaneous coronary intervention for acute myocardial infarction: a report from TRANSLATE-ACS.

Authors:  Connie N Hess; Lisa A McCoy; Hesha J Duggirala; Dale R Tavris; Kathryn O'Callaghan; Pamela S Douglas; Eric D Peterson; Tracy Y Wang
Journal:  J Am Heart Assoc       Date:  2014-02-07       Impact factor: 5.501

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