French Registry on Acute ST-elevation and non−ST-elevation Myocardial Infarction 2015 (FAST-MI 2015). Design and baseline data




Summary


Background


The FAST-MI programme, consisting of 1-month surveys of patients admitted to hospital for acute myocardial infarction (AMI) in France, has run since 2005.


Aim


To gather data on the characteristics, management and outcomes of patients hospitalized for AMI at the end of 2015 in France and to provide comparisons with the previous surveys.


Methods


Consecutive adults with ST-segment elevation myocardial infarction (STEMI) or non-ST-segment-elevation myocardial infarction (NSTEMI) with symptom onset ≤48 hours were included over a 1-month period, with a possible extension of recruitment for 1 additional month. Patients with AMI following cardiovascular procedures were excluded. In all, 204 centres participated in the survey (114 community hospitals, 40 academic, 48 private clinics, 2 army hospitals), representing 78% of French centres managing AMI patients. Inclusion started from 5 October 2015. Data were collected on-site from source files by external research technicians, using an electronic case record form with automatic quality checks. Centralized biology was organized in voluntary centres to collect RNA and DNA samples, serum and stools. Long-term follow-up was organized centrally with interrogation of municipal registry offices, physicians and by direct contact with the patients or their families.


Results


A total of 5291 patients were included over the entire recruitment period, with 3813 included during the first month (STEMI: 49%, NSTEMI: 51%). Mean age was 66 ± 14 years, 29% were ≥ 75 years of age, 28% were women; 80% presented with typical chest pain. In STEMI patients, 6% received intravenous fibrinolysis and 71% underwent primary PCI. The hospital death rate was 2.7% (STEMI: 2.8%, NSTEMI: 2.5%).


Conclusions


Recruitment was in line with expectations and the first data show that management has continued to evolve since the 2010 survey, with continued improvement in hospital outcomes.


Résumé


Contexte


Le programme FAST-MI est constitué d’enquêtes quinquennales d’une durée d’un mois, collectant les données des patients hospitalisés pour un infarctus du myocarde (IDM) en France depuis 2005.


Objectif


Collecter des données sur les caractéristiques, la prise en charge, et le devenir des patients hospitalisés pour IDM à la fin de 2015 en France, et comparer ces données à celles des enquêtes précédentes.


Méthodes


Tous les patients adultes hospitalisés pour un IDM avec ou sans sus-décalage de ST évoluant depuis moins de 48 heures ont été inclus consécutivement pendant une période d’un mois, avec possibilité d’extension jusqu’à un mois supplémentaire. Les patients ayant présenté un IDM à la suite d’une intervention cardiovasculaire ont été exclus. En tout, 204 centres ont participé (114 hôpitaux publics non académiques, 40 CHU, 48 cliniques privées et 2 hôpitaux d’instruction des armées), soit 78 % des institutions prenant en charge des patients atteints d’infarctus. La période d’inclusion a débuté le 5 octobre 2015. Les données ont été collectées sur des cahiers d’observation informatisés avec contrôles de qualité automatisés. Une biobanque a été constituée pour collecter des échantillons d’ADN, ARN, sérum et selles. Un suivi à long terme centralisé est organisé avec interrogation des registres d’état civil, contact des médecins traitants et cardiologues et contact direct des patients ou de leurs familles.


Résultats


Au total, 5291 patients ont été inclus, dont 3813 pendant le premier mois (STEMI : 49 %, NSTEMI : 51 %). La moyenne d’âge est de 66 ± 14 ans et 29 % avaient 75 ans ou plus ; 28 % étaient des femmes et 80 % avaient une douleur thoracique considérée comme typique. Parmi les patients avec infarctus avec sus-décalage, 6 % ont été traités par fibrinolyse et 71 % ont eu une angioplastie primaire. La mortalité hospitalière est de 2,7 % (infarctus avec sus-décalage : 2,8 %, infarctus sans sus-décalage : 2,5 %).


Conclusions


Le recrutement a été conforme aux attentes et les données initiales montrent que la prise en charge initiale a continué d’évoluer depuis 2010, avec une poursuite de l’amélioration des résultats cliniques en phase aiguë.


Background


The recent decline in cardiovascular mortality observed in industrialized countries has been attributed to improved primary prevention and treatment of established cardiovascular disease . Observational data collected from patients presenting with acute myocardial infarction (AMI) give the opportunity to determine the actual management of patients with documented AMI and whether the practice guidelines derived from the results of clinical trials have translated into changes in everyday practice. Many registries of acute coronary syndromes or AMI exist throughout the world and have provided valuable epidemiological and clinical information . However, several of these registries suffer from a relative lack of representativeness, while others are highly representative but cannot collect extensive clinical datasets.


Every 5 years since 1995, cohorts of patients hospitalized for AMI in France over a 1-month period have been enrolled in a programme to assess their management and outcomes . These registries included most institutions taking care of AMI patients and the patients were followed for at least 1 year. In 2005, the FAST-MI programme was designed and set up by the French Society of Cardiology to collect extensive data in patients hospitalized for AMI and follow these cohorts for up to 10 years . A distinctive feature of the FAST-MI cohorts is that all medications delivered at the acute stage, as well as the doses, are recorded. In addition, a biobank is available for pharmacogenetic studies and studies of potential predictive biomarkers of short- or long-term risk. Two surveys (FAST-MI 2005 and FAST-MI 2010) have reported data so far; the FAST-MI 2015 survey was implemented 5 years after the previous survey.


The aim of the FAST-MI 2015 registry was multifold:




  • to provide a precise and extensive description of the population admitted for AMI throughout the French metropolitan territory;



  • to determine whether regional differences exist in terms of the population;



  • to assess the management of patients admitted to cardiology departments for AMI;



  • to determine the implementation of practice guidelines and quality of care in a real-world setting;



  • to assess correlations between management strategies and in-hospital outcomes;



  • to determine the impact of several genetic polymorphisms on morbidity–mortality and their interaction with the effect of medications;



  • to determine the impact of biomarkers on morbidity-mortality after myocardial infarction.



In addition, the FAST-MI 2015 was designed to enable historic comparisons with the previous French cohorts enrolled using a similar methodology since 1995 and to document the long-term (up to 10 years) outcomes of patients presenting with AMI at the end of 2015 and to establish correlations between the early and long-term management and long-term outcomes.




Methods


Study design


This was a prospective, multicentre observational study conducted in continental France and Corsica, which included patients over a limited period. FAST-MI 2015 is a registry of the French Society of Cardiology and is supported by the Société française de médecine d’urgence, service d’aide médicale urgente (SAMU) de France, the Collège national des cardiologues des hôpitaux and the Collège national des cardiologues français.


Study population


Each patient had to meet the following criteria: men or women aged > 18 years; admitted within 48 hours of symptom onset to an intensive care unit (ICU) or a cardiology department for an AMI, characterized by elevation of troponins or CK-MB associated with at least one of the following: symptoms compatible with myocardial ischemia, development of new abnormal Q waves, ST-T changes compatible with myocardial ischemia (ST-segment elevation or depression, T wave inversion); and having provided written informed consent to take part. Thus, only patients with ST-segment elevation myocardial infarction (STEMI) or non-ST-segment-elevation myocardial infarction (NSTEMI) were included. STEMI was diagnosed when ST-elevation ≥ 1 mm was seen in at least two contiguous leads in any location on the index or qualifying ECG, or when presumed new left bundle branch block or documented new Q waves were observed. In the absence of ST-segment elevation, patients meeting the inclusion criteria were considered to have NSTEMI. Patients who died very early after admission and for whom cardiac markers were not measured were included if they had compatible signs or symptoms associated with typical, unequivocal ST changes. Patients admitted after resuscitation of a cardiac arrest were included only if the cardiac arrest had been preceded by chest pain suggestive of AMI having justified a call to emergency services. Patients participating in clinical trials could be included and information on trial participation was recorded. Patients with type 1 or type 2 myocardial infarction could be included. Patients with takotsubo syndromes were included when a rise in cardiac markers was documented.


Exclusion criteria were unstable angina (i.e. acute coronary syndrome without elevation of cardiac markers), AMI with symptom onset >48 hours from first call, iatrogenic AMI immediately following cardiovascular procedures (patients with late stent thrombosis, defined as stent thrombosis occurring after hospital discharge could be included) and diagnosis of AMI refuted in favor of alternative diagnoses, such as acute myocarditis.


Study organization and funding


Participating centres


A list of all intensive cardiac care units authorized to receive acute coronary syndrome emergencies and admitting patients at the acute stage of myocardial infarction was established at the beginning of 2015. Participation in the study was offered to all types of institutions (academic hospitals, general hospitals, army hospitals and private clinics). In all, 261 centres were listed, 215 of which initially accepted to participate. Of those, 204 actively participated and included at least one patient during the 1-month study period. The participation rate was 78% and the centres were distributed across the whole country ( Fig. 1 ). In addition, other centres could receive AMI patients at their emergency departments, but immediately referred these patients to other institutions. These centres were not asked to participate in the registry as the patients were included at the “receiving” institutions.




Figure 1


Geographic distribution of the centres participating in FAST-MI 2015.


The participating centres comprised 114 general hospitals, 40 academic hospitals, 38 private clinics, 10 private not-for-profit clinics and 2 army hospitals.


Recruitment


Patients were recruited consecutively from intensive cardiac care units/cardiology departments over a period of 1 month (from 5 October 2015). Recruitment could be prolonged up to 2 months in centres willing to do so. A physician was responsible for study recruitment at each centre. The population included during the first month by the totality of participating centres is used as illustrative of current management and outcomes in France, while the whole population (i.e. that recruited during the first and the second month) will be used to address specific medical interrogations in a larger population. The results presented here are those of the first month.


Organization of the study for the participants


A list of all patients admitted within 48 hours of symptom onset for a suspicion of acute coronary syndrome was established at each institution and the entry criteria were checked. A computerized case record form was completed for each eligible patient, based on the hospital records and additional specific questionnaires. Data were recorded by dedicated research technicians from a contract research organization (Axonal, Nanterre, France) who went to each centre on a weekly basis. In the case of incomplete data from the source patient files, the research technicians contacted the local investigator to obtain missing information.


Data collection


Demographic data as well as social characteristics (type of work, health coverage, mode of living) were recorded. Cardiovascular and non-cardiovascular medical history (cardiovascular, lung, renal, neurological or cognitive disease, cancer), risk factors (smoking status, hypertension, hypercholesterolaemia, family history of coronary disease, diabetes mellitus), and clinical course over hospital stay, including symptoms, admission and highest Killip class, therapeutic management in the prehospital setting, during the first 48 hours, during the hospital stay and at discharge, were recorded. Left ventricular ejection fraction (LVEF), when assessed at entry and at any time during the hospital stay, was recorded. Casual laboratory results were collected on admission. All in-hospital complications were recorded. The variables collected comprised those collected in the previous FAST-MI surveys along with several additional variables of interest.


In 152 centres, a biological substudy collected blood and serum samples for the assessment of DNA, RNA or centralized measurement of biological markers; some centres also collected stools for studying intestinal microbiota. Blood samples were collected within 24 hours of admission and samples were centralized with the help of the research organization (CEMO, Choisy-le-Roi, France).


Data quality


Data quality was ensured using numerous automated checks when the electronic case record forms were completed and by the fact that all the data entered were verified, and modified if necessary, by external research assistants. This methodology was also used for the FAST-MI 2005 and 2010 surveys. An external audit was also carried out on 10% of the records, to ensure adequate data quality.


Completeness of the data was adequate for most variables (e.g. missing values < 4% for height and 3% for weight; 3% for admission blood pressure and heart rate; < 0.5% for risk factors or cardiovascular history). After a dedicated external audit led by the principal investigator (ND), medications used at the acute stage (first 48 h) were retrieved in all but 7 (0.1%) patients; for these 7 patients, medications used during the first 48 hours were extrapolated from the treatment protocols used in the centres and from the medications used in the prehospital setting and at discharge.


Once entered into the electronic case record form, data were stored in a central database at the French Society of Cardiology in Paris. Data management is ensured, in conjunction with the French Society of Cardiology and the cardiology departments of Toulouse, hôpital européen Georges-Pompidou and Besançon university hospitals.


Patient follow-up


Follow-up data are collected by dedicated research technicians based at the French Society of Cardiology under the supervision of the unité de recherche clinique (URC-EST) of Assistance publique–Hôpitaux de Paris (AP–HP), using the following sequential procedure, which was also used for the FAST-MI 2005 and 2010 registries:




  • consulting the registry offices of the patients’ birthplaces for death certificates;



  • contacting the patients’ general practitioners and/or cardiologists;



  • contacting the patients or their relatives direct.



In many instances, written contact was followed by telephone interviews to the patients or their families.


For each reported event leading to hospitalization or death, hospital discharge reports were sought and analysed by at least one physician. All these events were reviewed centrally by a physician from a three-member critical events committee. Cases in which the final diagnosis appeared unclear or debatable were reviewed by at least two members of the critical events committee. Information on the occurrence of acute coronary syndromes, myocardial revascularization, hospitalization for heart failure, stroke, bleeding events requiring hospitalization or hospitalization for cancer were specifically tracked. The database was cross-linked with the French Institute for National Statistics and the French national cause-of-death database (CepiDC), to gather additional information on the causes of death, when appropriate. Finally, to evaluate changes in practice in France over the past 15 years, individual data from the 1995, 2000, 2005, 2010 and 2015 registries were merged into a common database.


Conduct of the registry, legal issues and funding


Written informed consent was provided by each patient. The data from patients who died early (i.e. before informed consent was obtained) were collected and recorded in the database, unless opposed to by the patient’s next of kin.


The study was conducted in compliance with Good Clinical Practice, French law and the French data protection law. The protocol was reviewed and approved by the Committee for the Protection of Human Subjects (CPP) of Saint-Louis University Hospital Paris Île-de-France IV. The data recorded and the way they were handled and stored was reviewed and approved by the comité consultatif sur le traitement de l’information en matière de recherche dans le domaine de la santé (CCTIRS) and the Commission nationale informatique et liberté (CNIL). The study is registered (Clinicaltrials.gov identifier: NCT02566200 ).


The study is funded by unrestricted grants from the following companies: AstraZeneca, Amgen, Bayer, BMS-Pfizer, Boehringer-Ingelheim, the Daiichi-Sankyo-Eli-Lilly alliance, MSD and Sanofi. Complementary grants will be sought for dedicated research projects within the main study.


Statistical analysis


Qualitative variables are reported as means ± standard deviations (SD) and minimum and maximum values were calculated. Medians (interquartile ranges) were calculated when appropriate. Discrete variables are presented as percentages. Comparisons are made with the χ 2 test or Fisher’s exact test for discrete variables and by unpaired t tests, Mann–Whitney tests, Wilcoxon sign-rank tests or one-way analyses of variance for continuous variables.


Statistical analyses are performed at université Paris-Descartes (Nicolas Danchin; Étienne Puymirat), université of Toulouse (Jean Ferrières, Vincent Bataille), université de Besançon (François Schiele) and université Pierre-et-Marie-Curie Paris 06 (Salma Kotti, Tabassome Simon), using SAS (SAS Institute, Cary, NC), STATA, NCSS, or IBM-SPSS (IBM, USA) software.




Results


Inclusion process


From a population of 5442 patients screened, 146 were excluded because they had one or more exclusion criteria, were not diagnosed with myocardial infarction or were not admitted to hospital during the survey timeframe, and five did not give consent, leaving 5291 patients in the registry. Of these, 3813 were included during the first month ( Fig. 2 ).




Figure 2


Flow chart of the inclusion process.


Baseline characteristics


Overall mean age of the population was 66 ± 14 years, 28% were women, and 49% had STEMI ( Table 1 ). Among non-STEMI patients, myocardial infarction type 1 represented 79% ( n = 1536), myocardial infarction type 2 18% ( n = 354) and takotsubo syndrome 3% ( n = 51). STEMI patients were on average 5 years younger than NSTEMI patients. The prevalence of risk factors differed according to the age difference between the two types of infarction, with more patients with hypertension, hyperlipidaemia, and diabetes mellitus in the NSTEMI population, and more current smokers among STEMI patients. The current episode of myocardial infarction was the first clinical manifestation of coronary artery disease in 76% of the patients, more frequently so in STEMI patients. Cancer was the most frequent associated condition, present in 10% of the patients.



Table 1

Baseline characteristics: administrative data, demographics, risk factors and clinical history.


























































































































































































































































Whole population
( n = 3813)
NSTEMI
( n = 1941)
STEMI or presumed new LBBB
( n = 1872)
P a
Centre < 0.001
Academic 1311 (34) 650 (33.5) 661 (35)
General hospital 1771 (47) 859 (44) 913 (49)
Private clinic 595 (16) 349 (18) 246 (13)
Private, not for profit 116 (3) 70 (4) 46 (2.5)
Army 19 (0.5) 13 (0.7) 6 (0.3)
Centre with PCI on site 3530 (93) 1731 (89) 1800 (96) < 0.001
Centre with surgery on site 1548 (41) 782 (40) 766 (41) 0.70
Age, years 66 ± 14 68 ± 14 63 ± 14 < 0.001
Age 75 years 1115 (29) 692 (36) 424 (23) < 0.001
Women 1050 (28) 581 (30) 469 (25) 0.001
Body mass index (kg/m 2 ) 27.0 ± 4.8
( n = 3641)
27.3 ± 5.0
( n = 1855)
26.7 ± 4.5
( n = 1786)
< 0.001
Risk factors
Hypertension 2054 (54) 1220 (63) 835 (45) < 0.001
Hypercholesterolaemia 1656 (43) 979 (50) 678 (36) < 0.001
Diabetes mellitus 830 (22) 522 (27) 308 (17) < 0.001
Current smoking 1355 (36) 566 (29) 789 (42) < 0.001
Family history of CAD 871 (23) 425 (22) 446 (24) 0.16
Obesity 817 (22) 468 (25) 349 (20) < 0.001
Menopause (among women) 2927 (96) 1590 (97) 1337 (95 0.002
Cardiovascular history
First CAD event 2895 (76) 1317 (68) 1578 (84) < 0.001
Myocardial infarction 700 (18) 469 (24) 231 (12) < 0.001
PCI 697 (18) 462 (24) 236 (13) < 0.001
CABG 156 (4) 124 (6) 32 (2) < 0.001
Heart failure 202 (5) 148 (8) 54 (3) < 0.001
Atrial fibrillation 227 (6) 148 (8) 79 (4) < 0.001
Stroke 173 (5) 114 (6) 59 (3) < 0.001
Stroke or TIA 229 (6) 143 (7) 86 (5) < 0.001
Peripheral artery disease 274 (7) 190 (10) 84 (5) < 0.001
Comorbidities
Chronic kidney disease 197 (5) 136 (7) 61 (3) < 0.001
Chronic obstructive lung disease 127 (3) 93 (5) 34 (2) < 0.001
Asthma 109 (3) 59 (3) 50 (3) 0.49
Cancer 361 (10) 209 (11) 152 (8) 0.005
Ulcer 58 (2) 38 (2) 20 (1) 0.025
Alzheimer’s disease or dementia 60 (2) 36 (2) 24 (1) 0.16
Anaemia 26 (1) 20 (1) 6 (0.3) 0.008
Chronic infectious disease 80 (2) 42 (2) 38 (2) 0.77

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Jul 9, 2017 | Posted by in CARDIOLOGY | Comments Off on French Registry on Acute ST-elevation and non−ST-elevation Myocardial Infarction 2015 (FAST-MI 2015). Design and baseline data

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