The adjusted odds ratios comparing 1995 with 2010 are 0.47 (95% CI, 0.32-0.70) for those who received no perfusion, 0.29 (95% CI, 0.11-0.76) for those who received fibrinolysis treatment, and 0.29 (95% CI, 0.15-0.58) for those who received percutaneous coronary intervention. Error bars indicate 95% CIs.
Puymirat E, Simon T, Steg PG, et al; USIK USIC 2000 and FAST MI Investigators. Association of Changes in Clinical Characteristics and Management With Improvement in Survival Among Patients With ST-Elevation Myocardial Infarction. JAMA. 2012;doi:10.1001/2012/JAMA.11348.
eFigure 1. Flow Chart of the Selection Process in the 4 Surveys
eFigure 2. Temporal Trends in the Prevalence of Risk Factors according to Sex and Age
eFigure 3. Changes in 30-Day Mortality
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Puymirat E, Simon T, Steg PG, et al. Association of Changes in Clinical Characteristics and Management With Improvement in Survival Among Patients With ST-Elevation Myocardial Infarction. JAMA. 2012;308(10):998–1006. doi:10.1001/2012.jama.11348
Context The contemporary decline in mortality reported in patients with ST-segment elevation myocardial infarction (STEMI) has been attributed mainly to improved use of reperfusion therapy.
Objective To determine potential factors—beyond reperfusion therapy—associated with improved survival in patients with STEMI over a 15-year period.
Design, Setting, and Patients Four 1-month French nationwide registries, conducted 5 years apart (between 1995, 2000, 2005, 2010), including a total of 6707 STEMI patients admitted to intensive care or coronary care units.
Main Outcome Measures Changes over time in crude 30-day mortality, and mortality standardized to the 2010 population characteristics.
Results Mean (SD) age decreased from 66.2 (14.0) to 63.3 (14.5) years, with a concomitant decline in history of cardiovascular events and comorbidities. The proportion of younger patients increased, particularly in women younger than 60 years (from 11.8% to 25.5%), in whom prevalence of current smoking (37.3% to 73.1%) and obesity (17.6% to 27.1%) increased. Time from symptom onset to hospital admission decreased, with a shorter time from onset to first call, and broader use of mobile intensive care units. Reperfusion therapy increased from 49.4% to 74.7%, driven by primary percutaneous coronary intervention (11.9% to 60.8%). Early use of recommended medications increased, particularly low-molecular-weight heparins and statins. Crude 30-day mortality decreased from 13.7% (95% CI, 12.0-15.4) to 4.4% (95% CI, 3.5-5.4), whereas standardized mortality decreased from 11.3% (95% CI, 9.5-13.2) to 4.4% (95% CI, 3.5-5.4). Multivariable analysis showed a consistent reduction in mortality from 1995 to 2010 after controlling for clinical characteristics in addition to the initial population risk score and use of reperfusion therapy, with odds mortality ratios of 0.39 (95%, 0.29-0.53, P <.001) in 2010 compared with 1995.
Conclusion In France, the overall rate of cardiovascular mortality among patients with STEMI decreased from 1995 to 2010, accompanied by an increase in the proportion of women younger than 60 years with STEMI, changes in other population characteristics, and greater use of reperfusion therapy and recommended medications.
Several sources, including registries specific to acute myocardial infarction (AMI) and large administrative or billing databases, have shown a decrease in mortality in patients with ST-segment elevation myocardial infarction (STEMI) over the past 10 to 15 years.1-9 This decline is usually attributed to increased use and improved delivery of reperfusion therapy, in particular primary percutaneous coronary intervention (PCI). We hypothesized that, beyond primary PCI, other factors such as temporal changes in patient population characteristics may account for part of the observed reduction in mortality of patients with STEMI.
The aim of the present study was to assess the association between changes in early mortality and patient management and risk profile by analyzing data from 4 sequential nationwide French surveys conducted between 1995 and 2010.10-13
Four nationwide French registries were conducted 5 years apart over a 15-year period (1995 to 2010): USIK 1995,10 USIC (Unité de Soins Intensifs Coronaires) 2000,11 FAST-MI (French Registry of Acute ST-Elevation or non-ST-elevation Myocardial Infarction) 2005 (NCT00673036),12 and FAST-MI 2010 (NCT01237418).13 All 4 registries included patients with STEMI or non-STEMI admitted alive to a coronary care unit (CCU) or an intensive care unit (ICU) within 48 hours of symptom onset, during a specified 1-month period (November for 1995 and 2000 and between October and mid-November for 2005 and 2010).
The methods used for these cross-sectional registries with longitudinal f ollow-up have been described previously.10-14 Briefly, their primary objectives were to evaluate the characteristics, management, and outcomes of patients with AMI admitted to CCUs or ICUs, as seen in routine clinical practice, using a catchment broad enough to provide data representative of the entire country, with strong external validity. Patients were recruited consecutively from CCUs or ICUs during the 1-month periods. Participation in the study was offered to all institutions, including university teaching hospitals, general and regional hospitals, and private clinics with ICUs that received acute coronary syndromes (ACSs) emergencies. Physicians were instructed that the study should not affect clinical care or management.
In each center, a physician was responsible for overseeing the registry and provided a full list of all patients admitted to the unit with suspected MI. Inclusion criteria were (1) adults aged 18 years or older; (2) patients admitted to a CCU or ICU within 48 hours of symptom onset for an AMI characterized by increased troponin, creatine kinase (CK) or CK-MB, associated with at least 1 of the following elements: symptoms compatible with myocardial ischemia, appearance of pathologic Q waves, or ST-T changes compatible with myocardial ischemia (ST-segment elevation or depression, T-wave inversion); and (3) willingness to take part in the study. Patients who died very soon after admission and for whom cardiac markers were not measured were included if they had signs or symptoms associated with typical ST-segment changes.
Exclusion criteria were (1) refusal to participate; (2) MI admission more than 48 hours after symptom onset; (3) iatrogenic MIs, defined as occurring within 48 hours of a therapeutic procedure (coronary artery bypass graft surgery, coronary angioplasty, or any other medical or surgical intervention); (4) ACS diagnosis invalidated in favor of another diagnosis; and (5) patients with unstable angina and no increase in cardiac biomarkers.
For the present analysis, only patients presenting with persistent ST-segment elevation or new Q waves were considered. For each of the surveys, the number of patients screened exceeded the number of patients included; the most common reasons for noninclusion in all 4 surveys were onset of chest pain more than 48 hours from admission, admission outside the survey time window, or diagnosis of AMI not retained (eFigure 1).
The study was conducted in accordance with the guidelines on good clinical practice and French law. The study protocol for the 1995 and 2000 registries were reviewed by the Committee for the Protection of Human Subjects in Biomedical Research of Nancy University hospital; the 2005 registry was reviewed by the Committee for the Protection of Human Subjects in Biomedical Research of Saint Antoine University Hospital; and the protocol of the 2010 registry was reviewed and approved by the Committee for the Protection of Human Subjects of Saint Louis University Hospital, Paris. Data file collection and storage were approved by the Commission Nationale Informatique et Liberté. All patients were informed of the nature and aims of the surveys and could request to be excluded; in addition, written consent was obtained for the 2005 and 2010 surveys.
Data on baseline characteristics, including demographics (age, sex, body mass index [BMI], calculated as weight in kilograms divided by height in meters squared), risk factors (hypertension, diabetes, current smoking, hypercholesterolemia, family history of coronary artery disease, obesity defined as ≥30 BMI), and medical history (MI, stroke, heart failure, peripheral artery disease), were collected as previously described.10-14 Information on the use of cardiac procedures, including use and of type of reperfusion therapy (primary PCI or fibrinolysis), use of medications (antiplatelet agents, diuretics, β-blockers, angiotensin-converting enzyme [ACE] inhibitors, and lipid-lowering agents) in the first 48 hours (or first 5 days, for the 1995 survey) and at-hospital discharge was recorded. In 2000, 2005, and 2010, time from symptom onset to first call or medical contact, and time to reperfusion therapy were also recorded. Several additional variables such as previous PCI, coronary artery bypass graft surgery, or chronic renal failure were also collected in the most recent surveys.
Mortality was assessed at 30 days. Information on this outcome was obtained directly by the physician responsible for overseeing of the study at each center for the 1995 and 2000 surveys. For the 2005 and 2010 surveys, follow-up was centralized at the French Society of Cardiology and dedicated study coordinators contacted both physicians and patients, after checking the patients' vital status in municipal registers.
For quantitative variables, mean (SDs) were calculated, as well as medians and interquartile ranges, when appropriate. Discrete variables are presented as counts and percentages. Comparisons for discrete variables were performed with the χ2 test or Fisher exact test. Continuous variables were studied by analysis of variance. Temporal trends were tested using linear-by-linear association tests for binary and Jonckheere-Terpstra tests for continuous variables. Odds ratios (ORs) are presented with their 95% confidence intervals.
To account for changes in the baseline characteristics of the populations admitted for STEMI from 1995 to 2010, we calculated a risk score for the 2010 population using multiple logistic regression analysis including demographic data, risk factors, medical history, BMI (using imputed values based on sex and age for the 6% of patients with missing values), and region. This risk score, calculated from the baseline characteristics of the 2010 population (C statistic, 0.75), was used to standardize the death rates for each of the previous surveys. The standardized death rates therefore represent the rates that would have been expected if the distribution of the baseline characteristics of each of the first 3 surveys had been similar to that of the most recent one. For the 2000 to 2010 surveys, we also used the simple risk index (SRI) and the evaluation of the methods and management of acute coronary events (EMMACE) scores15 to characterize the changes in risk levels of the populations.
We also examined mortality according to the participation of the centers in each registry; however, because the center codes were not available from the 1995 registry, we compared temporal trends in mortality from 2000 to 2010 in centers having participated in all registries vs the others.
Multivariable analyses of correlates of 30-day mortality were performed using backward stepwise multiple logistic regression analysis, using a threshold of 0.10 for variable elimination. Variables included in the final multivariable models were selected ad hoc, based on their physiological relevance and potential to be associated with outcomes. Thus, we included variables likely to influence outcome negatively (older age, history of heart failure, history of diabetes, history of AMI, history of stroke, history of peripheral artery disease, anterior MI, assessed from the baseline electrocardiogram, when ST-segment elevation was present in at least 2 contiguous leads from V1 to V4) or positively (history of hypertension, current smoking, and use and type of reperfusion therapy) as well as region, type of institution, BMI, sex, and time period (1995, 2000, 2005, 2010). Peak values of total CK were recorded in all surveys, CK-MB was recorded in the 2000 and 2005 surveys, and troponin was recorded in the 2005 and 2010 surveys. A sensitivity analysis was performed, adding peak CK to the covariates in the main analysis.
Analyses were repeated using forward stepwise analysis to check the consistency of the results. Collinearity was tested by calculation of variance inflation factors. Statistical analyses were performed using IBM SPSS 20.0 (IBM SPSS Inc). For all analyses, a 2-sided P value <.05 was considered to be statistically significant.
A total of 6707 patients with STEMI were enrolled in the 4 nationwide surveys (Table 1). The percentage of participating centers compared with all centers providing care for AMI patients in France was 62% in 1995 (312 centers, 1536 patients), 83% in 2000 (369 centers, 1844 patients), 60% in 2005 (223 centers, 1611 patients), and 76% in 2010 (213 centers, 1716 patients).
During this 15-year period, the mean age of patients with STEMI declined from 66.2 (14.0) years to 63.3 (14.5) years, current smoking increased (from 32.0% to 40.9%; percentage change, 8.9 [95% CI, 5.6-12.2]), as did the prevalence of obesity (14.3% to 20.1%; percentage change 5.8 [95% CI, 3.1- 8.4]), hypertension (43.8% to 47.0%; precent change, 3.1 [95% CI, −0.03 to 6.6]) and hypercholesterolemia (34.8% to 39.3%; percentage change 4.6 [95% CI, 1.2-7.9]), whereas history of cardiovascular disease, such as myocardial infarction decreased (14.6% to 10.9%, percentage change, −3.7 [95% CI, −1.5 to −6.1]), heart failure (6.4% to 2.4%, percentage change, −4.0 [95% CI, −2.6 to −5.5]), peripheral artery disease (9.7% to 4.8%, percentage change −4.8 [95% CI, −3.0 to −6.6]), stroke or transient ischemic attack (6.2% to 4.0%, percentage change, −2.3 [95% CI, −0.08 to −3.8]), or any of the above (25.9% to 17.1%) decreased.
Although the overall percentage of women did not vary over time, the proportion of younger women (<60 years) increased from 11.8% to 25.5% within 15 years, consistent with their increased prevalence of current smoking (from 37.3% to 73.1%) and obesity (from 17.6% to 27.1%). The changes in prevalence of risk factors differed markedly according to age and sex (eFigure 2). The proportion of younger patients developing STEMI despite not having hypertension, diabetes, or hypercholesterolemia increased markedly, particularly in younger women. This was in parallel with an increase in the proportion of younger patients, particularly women, to present with STEMI having current smoking or obesity as among their only risk factors.
Overall, the baseline risk of death in the entire population decreased consistently over time, as assessed by the specific risk score based on the 2010 population (0.053 in 1995, 0.048 in 2000, 0.048 in 2005, and 0.045 in 2010; −15% from 1995 to 2010 [95% CI, −9.9 to −20.4]; P = .001), consistent with the SRI and EMMACE risk scores applied to the 2000-2010 populations (SRI, 27.1 in 2000, 25.9 in 2005, and 24.2 in 2010, −11% from 2000 to 2010 [95% CI, −6.9 to −14.5]; P < .001; EMMACE score: 0.188 in 2000, 0.176 in 2005, and 0.156 in 2010; −17% from 2000 to 2010 [95% CI, −10.9 to −23.2]; P < .001).
Median time from symptom onset to hospital admission decreased from 240 minutes (interquartile range [IQR], 140-540 minutes) to 175 minutes (IQR, 107-380 minutes), as did the median time from onset to first call from 120 minutes (IQR, 41-360 minutes) in 2000 to 74 minutes (IQR, 30-240 minutes) in 2010, whereas the use of mobile intensive care units increased from 23.2% to 48.8% (percentage change, 25.6% [95% CI, 22.5%-28.6%]; Table 2). The percentage of admissions to community hospitals decreased from 60.2% to 44.0% (percentage change, −16.2% [95% CI, −12.8% to −19.6%]), together with a decrease in the number of participating institutions, in keeping with the health authorities' recommendation to reduce the number of institutions providing care for STEMI patients from 501 in 1995 to 279 in 2010. Across surveys, the mean (SD) number of patients per center increased from 5.7 (3.6) to 8.7 (8.0).
The use of reperfusion therapy increased over time, from 49.4% to 74.7% (percentage change, 25.2% [95% CI, 22.0% to 28.4%]) with more frequent use of primary PCI, (11.9% to 60.8%; (percentage change, 48.9% [95% CI, 46.0% to 51.6%]) and less frequent use of fibrinolysis (37.5% to 13.9%; percentage change, −23.6% [95% CI, −20.7% to −26.5%]; Table 2). Use of coronary angiography at any time during the index admission increased, to reach 96.3% in 2010, whereas the rate of hospital PCI, increased from 19.5% to 86.7% (percentage change, 67.2% [95% CI, 64.5% to 69.6%]).
The use of evidence-based treatments during the first 48 hours from admission increased gradually over the 15-year period. Early use of β-blockers increased from 65.2% to 80.7%; (percentage change, 15.5% [95% CI, 12.4% to 18.5%]), ACE inhibitors or angiotensin-receptor blockers from 47.7% to 64.8% (percentage change, 17.1% [95% CI, 13.7% to 20.4%]), and statins from 9.8% to 89.9% (percentage change, 80.1% [95% CI, 77.9% to 82.0%]; all P for trend < .001). Likewise, antithrombotic medications used during the first 48 hours of admission changed markedly, with increasing early use of antiplatelet agents from 92.4% to 97.4% (percentage change, 5.0% [95% CI, 3.6% to 6.6%]) intravenous glycoprotein IIb/IIIa inhibitors from 19.0% in 2000 to 42.7% in 2010 (percentage change, 23.6% [95% CI, 20.6% to 26.5%]), and low-molecular-weight heparins from 27.4% in 2000 to 62.3% in 2010 (percentage change, 34.9% [95% CI, 31.7 to 37.9%]), whereas the use of unfractionated heparin decreased from 96.4% to 44.8% (percentage change, −51.7% [95% CI, −49.1% to −54.1%]; all P for trend < .001).
The speed of implementation of recommended treatments, reperfusion therapy, or both over the study period was similar across regions and hospital types, although the change in use of primary PCI, was more marked in patients admitted to community hospitals. Proportionally, the use of primary PCI, increased to a greater extent in patients 75 years or older from 5.4% to 54.0% (percentage change, 48.6% [95% CI, 43.1% to 53.6%]) than among patients younger than 60 years, from 15.9% to 64.0% (percentage change, 48.1% [95% CI, 43.0% to 52.8%]), with little difference according to sex.
Thirty-day mortality decreased from 13.7% in 1995 to 4.4% in 2010 (Table 3) In multivariable logistic regression analyses, compared with 1995, the risk of death was lower in 2000 (OR, 0.64 [95% CI, 0.51-0.81]; P <.001) than in 2005 (OR, 0.52 [95% CI, 040-0.68] P <.001) and in 2010 (OR, 0.39 [95% CI, 0.29-0.53]; P <.001). Mortality decreased irrespective of use and type of reperfusion therapy, including among patients who did not receive any reperfusion therapy: no reperfusion (18.9% to 8.7%; adjusted OR. 0.47 [95% CI, 0.32-0.70), fibrinolysis (8.2% to 2.1%; adjusted OR, 0.29 [95% CI, 0.11-0.76]), primary PCI, (8.7% to 3.2%; adjusted OR, 0.29 [95% CI, 0.15-0.58]; Figure).
Likewise, mortality decreased consistently regardless of age, sex, or patient risk level (eFigure 3). In particular comparing 1995 to 2010, mortality decreased from 9.8% to 2.6% in men (adjusted OR, 0.30 [95% CI, 0.20-0.46]) and from 23.7% to 9.8% in women (adjusted OR, 0.48 [95% CI, 0.32-0.74]). Likewise, the decrease in mortality was consistent in the centers participating in all surveys (8.3% in 2000, 6.6% in 2005, and 4.6% in 2010; P < .001), and in those who had not participated in all surveys (9.1% in 2000, 7.6% in 2005, and 4.1% in 2010, P = .001).
Mortality from 1995 to 2010 declined in both academic centers (9.2% in 1995 to 4.7% in 2010) or community hospitals (15.5% to 5.5%), and type of institution was not an independent correlate of 30-day mortality in multivariate analyses. In addition, examination of early vs later deaths revealed consistent findings. Deaths within 48 hours were 4.0% in 1995, 3.7% in 2000, 2.0% in 2005, and 1.5% in 2010 (P for trend <.001), whereas deaths from 48 hours to 30 days were 10.1% in 1995, 5.2% in 2000, 5.0% in 2005, and 3.0% in 2010 (P for trend <.001).
When death rates were standardized for the 2010 risk score (representing the expected rates, standardized on the risk distribution profile of 2010), mortality decreased gradually over time: 11.3% in 1995, 7.6% in 2000, 6.4% in 2005, and 4.4% in 2010. Adding total CK as a covariate in the model yielded similar results when comparing ORs against 1995: 0.62 (95% CI, 0.49-0.80) in 2000; 0.55 (95% CI, 0.41-0.72) in 2005; and 0.37 (95% CI, 0.26-0.53) in 2010.
Consistent with the decrease in mortality, all major hospital complications of STEMI also decreased over time: cardiogenic shock, 7.4% to 4.7% (adjusted OR, 0.66 [95% CI, 0.48-0.92]); recurrent myocardial infarction, 2.6% in 2000 to 1.0% (adjusted OR, 0.51 [95% CI, 0.29-0.90]); ventricular fibrillation or cardiac arrest, 4.2% to 2.7% (adjusted OR, 0.68 [95% CI, 0.46-1.01]); atrial fibrillation, 12.5% to 5.6% (adjusted OR, 0.46 [95% CI, 0.36-0.60]); and atrioventricular block, 7.8% to 2.6% (adjusted OR, 0.32 [95% CI, 0.22-0.45]). Bleeding complications were recorded from 2005; investigator-reported major bleeding decreased from 1.9% in 2005 to 0.8% in 2010; transfusion rates, however, remained unchanged.
The main findings of this study are that 30-day STEMI mortality decreased by approximately 9%, a decrease of 68% in 15 years, and although this reduction parallels improvements in care, such as greater use of primary PCI, and adjunctive therapies, it was also associated with a substantial change in the patient risk profile. Specifically, the absolute 30-day mortality decreased from 9.3% (observed) to 6.9% (standardized), attesting a 26% reduction related to the changes in patient risk profile. Within the STEMI population targeted by these sequential registries, the relative proportion of older patients has decreased, while the proportion of younger men and the proportion and numbers of younger women have increased. These observations suggest that future reductions in the incidence and mortality related to AMI will need specific targeting of preventive measures toward younger women and possibly younger men.
The progressive decline in early mortality over time observed in the present nationwide surveys is consistent with many other sources in the United States1,3-5 and Europe.2,6,7,16 This change is explained largely by major improvements in the delivery of care for AMI, including the more frequent implementation of reperfusion therapy, the more frequent use of primary PCI, as a reperfusion method, and use of potent adjunctive evidence-based therapies (including antithrombotic agents, statins, β-blockers, and ACE inhibitors or angiotensin-receptor blockers). It may also be related to changes in patient behavior, such as faster calls for medical assistance after symptom onset and more frequent use of the prehospital mobile intensive care system, as well as changes in the general organization of care for STEMI patients, with the concentration of care provision in a smaller number of institutions, treating larger numbers of patients. In this regard, it must be noted that French health authorities have launched several media campaigns in the past 10 years to increase public awareness of the initial symptoms of heart attacks and to encourage the use of the national emergency telephone number. Attesting that the changes in early mortality went well beyond the broader use of primary PCI and reperfusion therapy, we observed that the risk of death within the groups receiving reperfusion by primary PCI or by fibrinolysis also decreased considerably.
Associated with these changes in patient behavior and physician management, during this 15-year period profound changes in the characteristics of the AMI population occurred, with presentation at a younger age, particularly in women. As expected, the lower age was associated with a reduction in the prevalence of comorbidities and history of cardiovascular disease. The increased proportion of younger patients was mainly at the expense of a reduction in the proportion of patients aged 60 to 74 years—from 39.3% to 31.3%, whereas the proportion of 75 years or older of age was less affected—from 30.0% to 25.5%.
Overall, while the catchment area of the sequential registries may have varied somewhat, which may account for some changes in patient age and sex, the absolute numbers of patients 65 years or older has substantially decreased. This decrease was all the more striking considering that the French population got older from 1995 to 2010. In fact, the decrease in the number of older patients with STEMI in the subsequent years of the registry is consistent with population-based epidemiological data showing a progressive decrease in the average age of patients hospitalized with AMI, both in France17 and in other countries.2
As the relationship of prevention strategies with cardiovascular events and death rates has been conclusively demonstrated,18 the age decrease in STEMI patients can be hypothesized to result from the efficacy of primary prevention in patients with recognized, treatable risk factors such as hypercholesterolemia, hypertension, or diabetes and may result from the decrease in smoking among older individuals in France.
Concordant with our results, the incidence of hospitalized AMI cases has been decreasing by about 2.5% per year in recent years, both in France (Christine De Peretti, MD, Institut National de Veille Sanitaire, written communication, August 2, 2012), in the United States,8 and in other countries.7 In a nationwide population-based study in France, the decrease in the incidence of AMI was most evident in both men and women who were older than 65 years, while it was less marked in younger men, and the reverse trend (ie, increased incidence) was observed for younger women (De Peretti, written communication). Likewise, in our registries, even though STEMI in women mostly affected older patients, the relative proportion of women younger than 50 years hospitalized for STEMI has increased considerably from 3.7% to 11.1%). These observations are consistent with the increase in current smoking among younger women during the past 30 years in France.19
The greater proportional increase in primary PCI, in elderly patients was somewhat unexpected; it might be related to the fact that younger patients may have less obstructive disease and more thrombosis.
The greater magnitude of mortality decrease in community hospitals, compared with academic institutions, might be explained by a shift of more severe patients, formerly treated in community hospitals and now preferentially referred to academic centers, and by the closure or regrouping of smaller hospitals, with less experience in treating STEMI patients.
As in any observational study, there are limitations to our analysis. None of the registries considered was population-based, and their catchment areas may have changed slightly over time, although every effort was made in each survey to capture the greatest possible proportion of centers participating in the care of STEMI patients in the entire country. The total number of such sites did change over 15 years, as a consequence of deliberate health policy planning that tried to avoid referral of STEMI patients to small nonspecialized centers.
Patients were included during the months of October or November, so we therefore have no means to detect possible temporal trends in seasonal variations. Also, we did not record specific contraindications to any medication; this may have influenced the rate of use of certain medications, and may have been an unrecognized confounder, but we would not expect the prevalence of contraindications to specific therapies, particularly antithrombotic therapies to change markedly. If anything, the modest decrease in age would be expected to be associated with a modest reduction in contraindications.
Because the criterion for enrollment was admission to a CCU or ICU, changes over time in admission policy and changes in risk of prehospital sudden death may also have affected the type and number of patients eligible for enrollment. Also, we cannot exclude that a very small number of patients might have died of other conditions such as aortic dissection, with ST-elevation on their electrocardiographs, before any imaging technique could be performed. Owing to the lack of certain variables in the first registries, we could not use well-validated scores such as the Global Registry on Acute Coronary Events (GRACE) or Thrombolysis In Myocardial Infarction (TIMI) scores to compare the baseline risks of the populations. We therefore used an internally derived multivariable model to predict death and categorize patient risk, which yielded adequate discriminating power (C statistic, 0.75); also, sensitivity analyses performed using 2 well-validated risk scores yielded identical results.
Although we hypothesize that the reduction in the proportion of older patients with STEMI was related to the efficacy of prevention, we cannot within the scope of this study document such an effect, but our findings are consistent with observations suggesting that the reduction in cardiovascular mortality observed in recent years in North America and Western Europe is a consequence of successful prevention efforts at least as much as a consequence of improved curative treatments.20,21
In France, the overall rate of cardiovascular events and mortality in patients hospitalized with STEMI has decreased from 1995 to 2010. This was accompanied by an increase in the proportion of younger women and changes in population characteristics, a reduction in the number of institutions providing care for STEMI patients together with an increased use of recommended therapeutic measures, and changes in patients' behavior when confronted with symptoms of infarction.
Corresponding Author: Nicolas Danchin, MD, PhD, Hôpital Européen Georges Pompidou, Department of Cardiology, 20 rue Leblanc, 75015 Paris, France (firstname.lastname@example.org).
Published Online: August 27, 2012. doi:10.1001/2012.jama.11348
Author Contributions: Dr Danchin had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Puymirat, Simon, Steg, Danchin.
Acquisition of data: Steg, Schiele, Guéret, Blanchard, Khalife, Goldstein, Cattan, Vaur, Cambou, Ferrières, Danchin.
Analysis and interpretation of data: Puymirat, Simon, Steg, Danchin.
Drafting of the manuscript: Puymirat, Simon, Steg, Danchin.
Critical revision of the manuscript for important intellectual content: Schiele, Guéret, Blanchard, Khalife, Goldstein, Cattan, Vaur, Cambou, Ferrières.
Statistical analysis: Puymirat, Danchin.
Obtained funding: Simon, Danchin.
Administrative, technical, or material support: Guéret, Cattan, Ferrières, Danchin.
Study supervision: Simon, Cambou, Danchin.
Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr Simon reported receiving research grants: Astra-Zeneca, Daiichi-Sankyo, Eli-Lilly, Glaxo-Smith-Kline, MSD, Novartis, Pfizer, sanofi-aventis, and Servier and speaker and consulting fees: AstraZeneca, Bayer-Schering, Eli-Lilly, and sanofi-aventis. Dr Steg reported receiving institutional research grant support: NYU School of Medicine, sanofi-aventis, and Servier; Consulting/advisory board fees: Ablynx, Amarin, Astellas, AstraZeneca, Bayer, Boehringer-Ingelheim, BMS, Daiichi-Sankyo-Lilly, GSK, Medtronic, MSD, Novartis, Otsuka, Pfizer, Roche, sanofi-aventis, Servier, and The Medicines Company; and being a stockholder and co-founder: Aterovax. Dr Schiele reported receiving grant support to his institution and travel support for scientific meetings: AstraZeneca, Boehringer-Ingelheim, Daiichi–Sankyo, Lilly, Medtronic, Pfizer; sanofi-aventis, Servier, and Takeda. Dr Guéret reported receiving research grants: Toshiba and General Electric Systems and consulting and speaker's fees: Boehringer-Ingelheim, Daiichi-Sankyo, Eli-Lilly, General Electric Systems, Ipsen, Pfizer, sanofi-aventis, and Servier. Dr Goldstein reported speaker, board membership, and consulting fees: Boeringer-Ingelheim, The Medicines Company, sanofi-aventis, BMS, AstraZeneca, Bayer, and Lilly Daiichi Sankyo. Dr Cattan reported receiving grants: AstraZeneca, Boehringer Ingelheim, Boston Scientific, Medtronic, and Servier. Dr Vaur reported being a former full-time employee of Roussel and Aventis-France and being currently employed at Novo-Nordisk. Dr Ferrières reported receiving grants and speaker fees: AstraZeneca, Genzyme, Merck, Novartis, and Servier. Dr Danchin reported receiving research grants: AstraZeneca, Daiichi-Sankyo, Eli-Lilly, Glaxo-Smith-Kline, MSD, Novartis, Pfizer, sanofi-aventis, Servier, and The Medicines Company and advisory panels or lecture fees: AstraZeneca, Boehringer-Ingelheim, Bristol-Myers Squibb, Eli-Lilly, Menarini, Merck-Serono, Novo-Nordisk, Servier, and sanofi-aventis. Drs Puymirat, Blanchard, Khalife, and Cambou reported no conflicts of interest.
Complete lists of investigators are available from references 8 through 11.
Funding/Support:USIK 1995 was funded by Laboratoire Roussel, which was involved in the design and conduct of the study, as well as data collection and management. USIC 2000 was funded by Aventis-France, which was involved in the design and conduct of the study, as well as data collection and management. FAST-MI 2005 and FAST-MI 2010 are registries of the French Society of Cardiology. FAST-MI 2005 was supported by unrestricted grants from Pfizer and Servier, and an additional grant from the Caisse Nationale d'Assurance Maladie-Travailleurs Salariés. FAST-MI 2010 was supported by unrestricted grants from AstraZeneca, the Daiichi-Sankyo-Eli-Lilly alliance, GlaxoSmithKline, Merck, Novartis, and sanofi-aventis. Sophie Rushton-Smith provided editorial assistance on the first submitted version of the manuscript and was funded by the French Society of Cardiology.
Role of the Sponsors:Laboratoire Roussel was not involved in the analysis and interpretation of the data, nor in the preparation, review or approval of the manuscript. Aventis-France was not involved in the analysis and interpretation of the data, nor in the preparation, review or approval of the manuscript. Pfizer, Servier, and the Caisse Nationale d'Assurance Maladie had no role in the design and conduct of the study, data collection and management. They were not involved in the analysis and interpretation of the data, nor in the preparation, review or approval of the manuscript. None of the companies had a role in the design and conduct of the study, data collection and management. They were not involved in the analysis and interpretation of the data, nor in the preparation, review, or approval of the manuscript.
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