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Cohort profile: Investigating variation in hospital acute coronary syndrome outcomes: Evaluation of the Methods
and Management of Acute Coronary Events (EMMACE)-3: a longitudinal study
Journal: BMJ Open
Manuscript ID: bmjopen-2014-006256
Article Type: Protocol
Date Submitted by the Author: 31-Jul-2014
Complete List of Authors: Alabas, Oras; University of Leeds, Division of Epidemiology and Biostatistics West, Robert; University of Leeds, Leeds Institute of Health Sciences Gillott, Richard; Leeds Teaching Hospitals NHS Trust, Leeds, UK, Department of Cardiology Khatib, Rani; Leeds Teaching Hospitals NHS Trust, Leeds, UK, Department of Cardiology Hall, Alistair; Leeds Teaching Hospitals NHS Trust, Leeds, UK, Department of Cardiology; Leeds General Infirmary, Institute for Cardiovascular Resaerch
Gale, Chris; University of Leeds, Divison of Epidemiology and Biostatistics; York Teaching Hospital NHS Foundation Trust, Cardiology
<b>Primary Subject Heading</b>:
Cardiovascular medicine
Secondary Subject Heading: Cardiovascular medicine, Epidemiology
Keywords: Cardiac Epidemiology < CARDIOLOGY, Coronary heart disease < CARDIOLOGY, Myocardial infarction < CARDIOLOGY
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Title: Cohort profile: Investigating variation in hospital acute coronary syndrome
outcomes: Evaluation of the Methods and Management of Acute Coronary
Events (EMMACE)-3: a longitudinal study
Authors: Alabas OA1, West RM2, Gillott RG3, Khatib R3, Hall AS3, Gale CP1,4 on behalf
of the EMMACE-3 Investigators
1 Division of Epidemiology and Biostatistics, University of Leeds, Leeds, UK
2 Leeds Institute of Health Science, University of Leeds, UK
3 Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
4 York Teaching Hospital NHS Foundation Trust, York, UK
Correspondence: Chris P. Gale
BSc (Hon), MBBS, MRCP, PhD, Dip, M.Ed, FESC. MSc
National Institute for Health Research Clinician Scientist Award Associate Professor of
Cardiovascular Health Research and Honorary Consultant Cardiologist
Division of Epidemiology and Biostatistics, Level 8, Worsley building, University of Leeds,
Clarendon Way, West Yorkshire, Leeds, LS2 9JT, UK
Key words: EMMACE-3, acute coronary syndrome, health related quality
of life, medications, outcomes
Word count: 2166
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Abstract
Purpose: Patients with cardiovascular disease are living longer and are more frequently
accessing healthcare resources. The Evaluation of the Methods and Management of Acute
Coronary Events (EMMACE-3) national registry is designed to investigate the long-term
trajectories of recovery from hosptialised acute coronary syndrome using multiple electronic
health records linked to prospective survey data.
Patients: Of the cohort, patients aged 18 years or older, who have been admitted with ACS
at one of the participating hospitals in England. The spectrum of ACS phenotypes includes
ST-elevation myocardial infarction (STEMI), non-STEMI (NSTEMI) and troponin negative
ACS (unstable angina (UA)).
Findings to date: Prospective, longitudinal data are collected at four time points: in-hospital,
one month, six months and twelve months. These include repeated measures of: 1) health
related quality of, 2) General Practitioner and hospital specialists appointments, 3) physical
activity, 4) cardiac rehabilitation, 5) prescribed medications and 6) indices of medicines-
taking behaviour including the Morisky Medication Adherence, Adherence Estimator, A
modified version of the Single Question, Beliefs about Medicines Questionnaire and other
adherence probing questions.
Future plans: The complete data analysis of this cohort study will allow the evaluation of the
full pathway of care from hospital to community, providing data which other cardiovascular
studies lack. We also aimed to investigate the long-term trajectories of recovery from an
ACS (until death) as well as describing guideline recommended medicines and adherence
profiles.
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Key Messages
• EMMACE-3 is the largest contemporary national longitudinal study of detailed
trajectories of recovery after hospitalised acute coronary syndrome.
• Comprehensive patient-level and hospital-level data are collected using multiple
electronic health records linked to bespoke prospective repeated survey data.
• Together with EMMACE-3X and EMMACE-4, EMMACE-3 will collect repeated
measures data relating to around 12,000 patients admitted to hospitals across
England.
• Non-identifiable data will be made available to academic collaboratores upon
approval of applications.
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INTRODUCTION
Cardiovascular health and care
The last 10 years has seen a declince in mortality rates from cardiovascular disease.1,2 In
the United Kingdom (UK) from 2003 through 2010, the risk of in-hospital mortality from an
acute coronary syndrome (ACS) has fallen by half.3,4 Nevertheless, cardiovascular disease
is the leading cause of death in the UK and responsible for over 4 million deaths per year in
Europe.5,6
In addition, cardiovascular disease confers a substantial morbidity and finacial burden.7,8
Elderly patients with ACS account for more than half of all admissions to hospital.9,10 As a
result of a reduction in mortality rates patients are living longer and more frequently
accessing health care services. The forcasted impact of heart failure, cerebrovascular
disease and recurrent ACS as a result of improved survival is unpreceented.7,11,12 Moreover,
cardiovascular disease already costs the UK economy £29.1 billion in healthcare, informal
care and productivity losses.8 Consequently, there are new challenges for making the best
use of scarce healthcare resources. Future policies will require enhanced regulatory
apparatus to respond to the increasing demand.
Two important question facing healthcare decision-makers are: 1) how do patients recover
from an ACS, and 2) how does their initial presentation and hospital care impact on
subsequent healthcare resource use and health-related outcomes? Recently, a succession
of large-scale UK observational studies were funded in the UK aiming to improve
understanding of the variation in cardiovascular quality of care and outcomes.13 We also
have sought to anticipate and understand these challenges. In this paper we describe the
profile of the Evaluation of the Methods and Management of Acute Coronary Events
(EMMACE-3) study, a unique national collaborative research effort to collect repeated
measures for hospital readmissions, medicines and their adherence profiles, cardiac
rehabilitation, health related quality of life and cause-specific mortality in patients
hospitalised with ACS.
Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)
EMMACE-3 is the third in a series of prospective studies. EMMACE-1 and EMMACE-2 were
regional, multi-centre, cross-sectional evaluations of around 2500 hospitalised ACS patients
each, undertaken in 1994 and 2003, respectively. That coincided with being five years
before and then also after the major national initiative in this area: the National Service
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Framework (NHS) for Coronary Heart Disease).14 The original study (commissioned by NHS
R&D) was tasked with assessing alternate methods of case ascertainment and their impact
on assessment of quality of care.15 To date, they have each reported variations in hospital
outcomes,16,17 temporal improvements in the adherence to guideline recommended
therapies and their association with a decline in mortality rates, 18 survival effectiveness of
cardiac rehabilitation,19 impact of clinical investigations and treatments on mortality 20-22 and
the relative impact of diabetes on early and late mortality by temporal changes in hospital
care.23, 24 EMMACE-3, undertaken between 1st November, 2009 and 17th September, 2013,
has an improved design over its predecessors being longitudinal and utilising multiple
electronic health record (EHR) linkages to offer previously unavailable scope for advanced
statistical techniques to infer causality from observation data.
EMMACE-3
EMMACE-3 is a national, multi-centre, prospective, linked, longitudinal cohort study of
patients admitted with an ACS to National Health Service (NHS) hospitals in England. The
study has favourable ethical approval from the Leeds (West) Research Ethics Committee
(10/H1313/74). All patients were consented to enter the study and given the option for their
data to be used for the purposes of future research. EMMACE-3 has collected unique
longitudinal patient-level data enhanced by multiple linkages to cross-sectional electronic
health record data from both research and administrative sources including a survey of
hospital facilities, the Office for National Statistics (ONS) data and the national heart attack
register (Myocardial Ischaemia National Audit Project, MINAP).25 EMMACE-3, therefore,
provides a national registry of previously unrecorded data of the trajectories of recovery from
ACS.
EMMACE-3 was designed to improve our understanding of the effect of quality of care on
long-term health-related outcomes of patients hospitalised with ACS. The study aims to
quantify variation in health-related outcomes from ACS and to identify modifiable factors
which could lead to improved quality of care and health. It will allow the evaluation of the full
pathway of care from hospital to community, providing data which other cardiovascular
studies lack. We also aimed to investigate the long-term trajectories of recovery from an
ACS (until death) as well as describing guideline recommended medicines and adherence
profiles.
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COHORT DESCRIPTION
Study design
EMMACE-3 is a prospective longitudinal cohort study of ACS outcomes from time of
discharge over 1 year. The combined primary end point will be time to first occurrence of a
major adverse cardiovascular events (MACE), defined as one of the following: death, non-
fatal acute myocardial infarction and coronary revascularisation. The secondary end points
will be (i) quality of life assessed using EuroQol 5-dimension, EQ-5D26, (ii) readmission to
hospital with ACS, (iii) new diagnosis of or hospitalisation for heart failure, (iv) adherence to
medication, (v) cessation of smoking, (vi) completion of cardiac rehabilitation.
Study setting
EMMACE-3 is funded by the National Institute for Health Research (NIHR). The NIHR is
funded through the UK Department of Health to improve the health and wealth of the nation
through research. 27 EMMACE-3 is based at the University of Leeds who is its sponsor. Data
storage, linkage, sharing and other processing will be facilitated through the Medical
Research Council funded (MR/L01629X/1) Bioinformatics Centre at the University of Leeds
in partnerhsip with Leeds Teaching Hospitalis NHS Trust. EMMACE-3 forms part of a
portfolio of collaborative cardiovascular studies using EHRs working with a number of
partner organisations including the Farr Institute, University College London. The EMMACE-
3 investigators and collaborators are a multidisciplinary team of epidemiologists,
biostatisticians, health service researchers, health informaticians and clinical cardiologists.
Participants
EMMACE-3 cohort includes patients aged 18 years or older, who have been admitted with
ACS at one of the participating hospitals in England. The spectrum of ACS phenotypes
includes ST-elevation myocardial infarction (STEMI), non-STEMI (NSTEMI) and troponin
negative ACS (unstable angina (UA))28. Figures 1 and 2 illustrate the spatial coverage and
rate at which 5375 participants with ACS from a total of 48 hospitals volunteered to be part
of this project. Each hospital provided their own recruitment support (Research Nurses)
funded through the NIHR-CLRN funding stream (5.2 Research Support Services Version 5).
This model encouraged an exponential rate of new centre participation as each hospital
acted as active stake-holders in the funding model. Moreover, the original study size
increased from less than 2000 to over 5000 ahead of time and target. We understand this to
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have been a fairly unique achievement as well as a fitting demonstration of the potential
strenghts of the new NHS R&D funding model. Consequently, EMMACE-3 has become an
important contributor to the NIHR Clinical Research Network cardiovascular research
portfolio.
Data collection
EMMACE-3 combines self-reported longitudinal data on numerous health parameters with
cross-sectional disease-specific clinical information (Figure 3). The cross-sectional data
includes: data from 1) the Myocardial Ischaemia National Audit Project (MINAP), 2) a survey
of hospital-level cardiovascular facilities and 3) patient-level deprivation indices (Index of
Multiple Deprivation score, Townsend score).29 Demographic data such as age, sex, place of
treatment and residency are recorded during the hospital admission.
Follow-up
Information is collected at four time points: in-hospital, one month, six months and twelve
months. This includes measures of: 1) health related quality of life (EQ-5D),26 2) General
Practitioner and hospital specialists appointments, 3) physical activity, 4) cardiac
rehabilitation, 5) prescribed medications and 6) indices of medicines-taking behaviour
including the Morisky Medication Adherence, Adherence Estimator, A modified version of the
Single Question, Beliefs about Medicines Questionnaire and other adherence probing
questions (Figure 3).30-34 Before each participant is sent a questionnaire their mortality status
is checked using the NHS Summary Care Record. Non-responders are issued a second and
third questionnaire, and contacted directly by telephone. The questionnaire data are linked to
cause-specific mortality and date of death (from linkage to the Office for National Statistics)
using each patient’s unique 10-digit NHS number, which is generated by the UK government
for every NHS user upon first entry into the healthcare system.
Statistical analysis
Shared frailty survival models (nesting patients within hosptials) will be used to estimate
factors associated with time to primary endpoint. Factors to be evaluated will include
medications, health related quality of life and hosptial facilities data, as well as baseline
clinical charactersitiscs. Sequential health related quality of life data will be studied both as a
measure of outcome (recovery pattern) and predictor of outcome (prognostic marker).
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Missing data will be multiply imputed, with values will be derived from an imputation model
based upon the observed values.35
FINIDINGS TO DATE
Cohort composition
Table 1 shows distrbution of EMMACE-3 hospitals’ facilities. Main baseline patient
characteristics were summarised in Table 2. There were 73.9% male, mean (SD) age 64.4
(11.9) years), the median (IQR) length of hospital stay was 4 (4-4) days. During
hospitalisation, mean (SD) of EQ-5D score was 0.74 (0.30) and mean (SD) EQ-5D visual
analogue score was 64.1 (20.0).
Attrition rate
Figure 4 shows a flow diagram of number of patients recruited at each stage. Of the
survivors, 5326 (99.1%) completed the in-hospital questionnaires and 4513 (84.0%), 4062
(75.6%) and 3512 (65.3%) subjects participated at one month, six months and 12 months,
respectively. At these latter time points 0.4%, 0.9%, 2.5% and 2.1% of the questionnaire
data attrition was due to deaths. The characteristics of patients by response to the
questionnaires are shown in Table 3.
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Table 1: Distrbution of EMMACE-3 hospitals’ facilities
Hospital Characteristics N (%)
Foundation Status 33 (68.8)
Primary PCI availability, 24 hours 7 days per week?
No 33 (71.7)
Yes 13 (28.26)
Number of Consultant Cardiologists
<5 21 (56.8)
≥5 16 (43.2)
Number of specialist ACS nurses
None 24 (55.8)
<5 13 (30.2)
≥5 6 (14.0)
Number of specialist heart failure nurses
None 9 (19.6)
<5 32 (69.6)
≥5 5 (10.9)
Number of specialist cardiac rehabilitation nurses
None 2 (4.8)
<5 30 (71.4)
≥5 10 (23.8)
Number of cardiology beds
None 4 (8.7)
<20 13 (28.3)
≥20 29 (63.0)
Number of Coronary Care Unit beds
<10 23 (51.1)
≥10 22 (48.9)
Distance to the nearest intervention centre, miles
Not applicable 15 (34.9)
<20 10 (23.3)
≥20 18 (41.9)
PCI: percutaneous coronary intervention
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Table 2: Baseline patient characteristics, from hospital admission data
Patient Characteristics N (%)
Demographics
Mean (SD) age, years 64.4 (11.9)
Men 3969 (73.8)
White 3138 (95.2)
Mean (SD) IMD score* 22.6 (15.5)
Current smoker 1142 (32.9)
Ex smoker 1215 (35.0)
Mean (SD) body mass index 28.8 (6.5)
Past medical history
Hypertension 1573 (45.3)
Diabetes mellitus 537 (15.5)
Previous angina 851 (24.5)
Previous myocardial infarction 709 (20.4)
Cerebrovascular disease 168 (4.8)
Asthma or COPD 434 (12.5)
Chronic renal failure 106 (3.1)
Chronic heart failure 68 (2.0)
Peripheral vascular disease 115 (3.3)
Acute coronary syndrome phenotype
STEMI 1,335 (38.6)
NSTEMI 2,008 (58.0)
Unstable angina 47 (1.4)
Medications prescribed at hospital discharge^
Aspirin 3,026 (89.3)
β blockers 2,781 (82.1)
Angiotensin converting enzyme (ACE) inhibitors 2,827 (83.5)
Statins (HMG Co-A reductase inhibitors) 3,025 (89.3)
Thienopyridine inhibitors 2,646 (78.4)
*IMD score: Index of Multiple Deprivation score for 2010
^ for survivors of the hospital stay, sample of medications given
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Table 3: Characteristics of participants by EMMACE-3 survey response
Follow-up Hospital stay One month Six months Twelve months
Patient characteristics Responder Non-responder Responder Non-responder Responder Non-responder Responder Non-responder
Denomenator N=5325 N=49 N=4454 N=862 N=3907 N=1313 N=3287 N=1863
Demographics
Mean age (SD), years 64.4 (11.9) 63.2 (14.2) 65.3 (11.4) 59.2 (12.8) 65.8 (11.2) 59.0 (12.1) 66.4 (10.9) 59.7 (12.0)
Men (%) 3919 (73.9) 36 (73.5) 3279 (73.7) 649 (75.4) 2871 (73.5) 993 (75.7) 2418 (73.6) 1394 (74.9)
White 3102 (95.2) 21 (91.3) 2643 (96.3) 460 (94.3) 2345 (95.8) 709 (92.9) 1982 (96.0) 1034 (93.2)
Median (IQR) IMD score 18.1 20.6 17.4 22.5 17.1 21.4 16.7 18.8
ACS phenotype
STEMI 1321 (38.7) 9 (34.6) 1113 (38.0) 212 (42.6) 985 (37.9) 330 (42.3) 827 (37.7) 482 (42.1)
NSTEMI 1982 (58.0) 17 (65.4) 1,717 (58.7) 269 (54.0) 1522 (58.6) 425 (54.4) 1287 (58.7) 627 (54.8)
UA 47 (1.4) 0 43 (1.5) 4(0.8) 42 (1.6) 5 (0.6) 37 (1.7) 10 (0.9)
ACS: acute coronary syndrome, STEMI: ST-elevation myocardial infarction, NSTEMI: non ST-elevation myocardial infarction, UA: unstable
angina.
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Electronic health records linkage
EMMACE-3 embraces the efficiency of contemporary observational research design. It
imports, pools and links EHR information derived from existing national clinical and
administrative data warehouses to the additional prospective and repeated relevant
healthcare measures. For mortality status the linkage success was 96.0%. Presently, for
MINAP and hospital facilities data, the import success is 66.2% and 100.0% respectively
(Table 4).
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Table 4: Data sources, types of data and collection system linked in the EMMACE-3 study
Parameter categories Data source Data type Linkage /recording
success
Clinical phenotype, characteristics and treatments MINAP Cross-sectional 66.2%
Date of death NHS Summary Care Record Longitudinal 96.0%
Cause of death ONS Longitudinal In process
Hospital facilities data EMMACE-3 survey Cross-sectional 100 %
Deprivation scores Department of community
and local government
Cross-sectional 94.5%
Survey data: hospital stay EMMACE-3 survey Longitudinal 99.1%
Survey data: one month from hospital discharge EMMACE-3 survey Longitudinal 83.0%
Survey data: six months from hospital discharge EMMACE-3 survey Longitudinal 72.7%
Survey data: twelve months from hospital discharge EMMACE-3 survey Longitudinal 61.2%
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International cardiovascular research platform
Each participant was asked if they would be willing to have their contact details and clinical
data securely stored on a database, and to be contacted for potential participation in future
observational studies and clinical trials. In total, 5375 consented to particate in EMMACE-3
and 3875 to have their data stored for the puposes of re-contact if necessary.
Data governace and collaboration
One of the goals of EMMACE-3 is to enable and facilitate national and international
collaborations with other research studies, researchers and industry. The rich patient-level
data will be an important resource for the identification of cardiovascular participants into
trials. Further information about the study is available at ClinicalTrial.gov (NCT01808027),
EMMACE.org. Collaborators are invited to contact the Chief Investigator, Chris Gale at
[email protected]. Data will be available to non-commercial research organisations
subject to approval by the CI. Only pseudonymised data will be released to collaborators.
EMMACE studies
EMMACE-3X
EMMACE-3X is an EMMACE-3 extension study with favourable ethical approval
(13/YH/0277). It is collecting health related quality of life data including EQ-5D, MacNew 36
and medications data for each participant annually until death or up to 10 years. Furthermore
it links EMMACE-3 data with Hospital Episode Statistics (HES) and primary care data
(Figure 3). Further information about EMMACE-3X is available at ClinicalTrial.gov
(NCT01955525), EMMACE.org.
EMMACE-4
EMMACE-4 has favourable ethical approval (12/WM/0431) and is the latest active study in
the EMMACE series. It is adopted onto the NIHR CRN portfolio and will accrue 6000
participants across England. It, also, is a longitudinal study of ACS trajectories of recovery
after hospitalisation with ACS. EMMACE-4 will enhance its data collection using EHR data
from primary care (using databases such as; The Phoenix Partnership (TPP) Research One
and The Clinical Practice Research Datalink (CPRD)), pharmacy databases and from
linkage to HES data. In addition, it is collecting patient reported experience measures (The
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Picker Patient Experience Questionnaire PPE-15),37 repeated measures of EQ-5D (Brooks,
1996),28 Brief Illness Perception (IPQ), 38 the Satisfaction with Information about Medicines
Scale (SIMS), 39 Single Question,33 medications adherence and cause-specific mortality
(Figure 3). Further information about EMMACE-4 is available at ClinicalTrial.gov
(NCT01819103), EMMACE.org.
STRENGTHS AND LIMITATIONS
EMMACE-3 is the largest contemporary longitudinal study of detailed trajectories of quality
of health care and outcomes for ACS. Other observational cardiovascular studies have been
instrumental in realising the research potential of linked EHRs, but have been limited by the
their lack of data for health related quality of life and medication adherence. 40 The study
strengths are:
• National and representative sample of contemporary ACS hospitalisations
• Multi-centre design allowing comparative analyses
• Repeated multi-dimensional validated measures of health related quality of life and
medication adherence profiles
• Efficiency of research data enhancement through bespoke linkages to clinical and
administrative electronic health care records
• Participant consent to enter future research studies
• Scalability through responsive funding from the NIHR
• Potential for health economic evaluations
There are, however, a number of limitations. Case ascertainment is not 100% and there is
evidence for survivorship bias. However, recruitment of all ACS was not the remit of
EMMACE-3. If necessary, more complete case ascertainment of ACS may be estimated
through the pooling of multiple secondary and primary care sources of EHRs. 34 For the
questionnaire data, missingness varied between 2% and 40%, and for MINAP data fields
varied between 1% and 10%. Our experience of handling missing data will be employed to
help mitigate the bias there is evidence for survivorship bias. 35
Author affiliations
1 Division of Epidemiology and Biostatistics, University of Leeds, Leeds, UK
2 Leeds Institute of Health Science, University of Leeds, UK
3 Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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4 York Teaching Hospital NHS Foundation Trust, York, UK
Acknowledgement
We gratefully acknowledge the participation of the EMMACE hospitals, their research staff,
principal investgators and the EMMACE study team.
EMMACE-3 investigators:
Basel Hanbali Airedale NHS Foundation Trust, John Davies Basildon and Thurrock
University Hospitals NHS Foundation Trust, Ranjit More Blackpool Teaching Hospitals NHS
Foundation Trust, Steve Lindsay Bradford Teaching Hospitals NHS Foundation Trust, Piers
Clifford Buckinghamshire Healthcare NHS Trust,Tim Reynolds Burton Hospitals NHS
Foundation Trust, S Grant Calderdale and Huddersfield NHS Foundation Trust, Justin
Cooke Chesterfield royal Hospital NHS Foundation Trust, Shahid Junejo and Samuel
McClure City Hospitals Sunderland NHS Foundation Trust, Mark Scoote Colchester Hospital
University NHS Foundation Trust, Mohammed Ahmed El-Harari County Durham and
Darlington NHS Foundation Trust, John McDonald East Lancashire Hospitals NHS Trust,
Matthew Faircloth Frimley Park Hospital NHS Foundation Trust, Mark Appleby Harrogate
and District NHS Foundation Trust, Mohammed AlObaidi Heatherwood and Wexham Park
Hospitals NHS Foundation Trust, Farqad Almagir Hull and East Yorkshire Hospitals NHS
Trust, Simon Hetherington Kettering General Hospital NHS Foundation Trust, Somnath
Kumar Lancashire Teaching Hospitals NHS Foundation Trust, Chris Gale Leeds Teaching
Hospitals NHS Trust &York Teaching Hospital NHS Foundation Trust, Nicola Brooks
Medway NHS Foundation Trust, Ted Lo Mid Staffordshire NHS Foundation Trust, Philip
Batin Mid Yorkshire Hospitals NHS Trust, Raj Khiani Milton Keynes Hospital NHS
Foundation Trust, Alan Bagnall Newcastle Hospitals NHS Foundation Trust, Roger Moore
North Cumbria University Hospitals NHS Trust, Christopher Gibbs Northern Devon
Healthcare NHS Trust, Sudipta Chattopadhyay Northern Lincounshire and Goole Hospitals
NHS Foundation Trust, Honey Thomas Northumbria Healthcare NHS Foundation Trust,
Jolanta Sobolewska Pennine Acute Hospitals NHS Trust, Dr Jo Porter Peterborough and
Stamford Hospitals Trust, Venkatesan Suresh Plymouth Hospitals NHS Trust, Paul Kalra
Portsmouth Hospitals NHS Trust, Usman El-Sheikh Royal Devon and Exeter NHS
Foundation Trust, Anwar Memon Scarborough and North East Yorkshire Health Care NHS
Trust, John Rowley Sherwood Forest Hospitals NHS Foundation Trust, Nigel Capps
Shrewsbury and Telford Hospitals NHS Trust, Philip Keeling South Devon Healthcare NHS
Foundation Trust, Mark De Belder South Tees Hospitals NHS Foundation Trust, Thuraia
Nageh Southend University Hospitals NHS Foundation Trust, Philip Lewis Stockport NHS
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Foundation Trust, Mark Dayer Taunton and Somerset NHS Foundation Trust, Alan Baonall
The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Adrian Brodison University
Hospital of Morecambe Bay NHS Foundation Trust, Ian Hudson University Hospitals of
Leicester NHS Trust, Francesco Lo Monaco West Middlesex University Hospital NHS Trust,
Telal Mudawi Wrightington Wigan and Leigh NHS Foundation Trust.
Contributors: CG participated in the development of the protocol, organization and funding.
OA and CG participated in writing the manuscript and analysing data. All authors have read
the draft critically to make contributions and also approved the final text.
Funding This work was supported by the National Institute for Health Research
(NIHR/CS/009/004)
Competing interests None
Patient consent Obtained
Ethics approval The EMMACE-3 study was given favourable ethical approval by Leeds
(West) Research Ethics committee (REC reference: 10/H131374).
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement Only pseudonymised data will be released to collaborators.
Legend
Figure 1: Regional map of English National Health Service hospitals and patients
participating in EMMACE-3
Figure 2: EMMACE-3 cumulative recruitment of participants
Figure 3: Flow chart of the EMMACE studies
Figure 4: Flow diagram showing number of EMMACE-3 participants at each phase of the
study
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20. Lown MT, Munyombwe T, Harrison W, West RM, Hall CA, Morrell C, et al. Association of
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22. Manfrini O, Morrell C, Das R, Barth JH, Hall AS, Gale CP, et al. Effects of Angiotensin-
Converting Enzyme Inhibitors and Beta-Blockers on Clinical Outcomes in Patients with
and without Coronary Artery Obstructions at Angiography (From a register-based cohort
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trends in mortality of patients with diabetes mellitus suffering acute myocardial infarction:
a comparison of over 3000 patients between 1995 and 2003. Eur Heart J.
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effects on health. J Epidemiol Community Health. 2004;58(3):250-7. Epub 2004/02/18.
30. Khatib R. Adherence to Secondary Prevention Medicines by Coronary Heart Disease
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31. Morisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication
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33. Gehi AK, Ali S, Na B, Whooley MA. Self-reported medication adherence and
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34. Horne R, Weinman J. Patients' beliefs about prescribed medicines and their role in
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35. Cattle BA, Baxter PD, Greenwood DC, Gale CP, West RM. Multiple imputation for
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Journal of psychosomatic research. 2006;60(6):631-7. Epub 2006/05/30.
39. Horne R, Hankins M, Jenkins R. The Satisfaction with Information about Medicines Scale
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40. Herrett E, Shah AD, Boggon R, Denaxas S, Smeeth L, van Staa T, et al. Completeness
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Figure 1: Regional map of English National Health Service hospitals and patients participating in EMMACE-3 177x196mm (96 x 96 DPI)
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Figure 4: Flow diagram showing number of EMMACE-3 participants at each phase of the study 157x177mm (96 x 96 DPI)
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Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3: protocol for a longitudinal
study
Journal: BMJ Open
Manuscript ID: bmjopen-2014-006256.R1
Article Type: Protocol
Date Submitted by the Author: 22-Aug-2014
Complete List of Authors: Alabas, Oras; University of Leeds, Division of Epidemiology and Biostatistics West, Robert; University of Leeds, Leeds Institute of Health Sciences
Gillott, Richard; Leeds Teaching Hospitals NHS Trust, Leeds, UK, Department of Cardiology Khatib, Rani; Leeds Teaching Hospitals NHS Trust, Leeds, UK, Department of Cardiology Hall, Alistair; Leeds Teaching Hospitals NHS Trust, Leeds, UK, Department of Cardiology; Leeds General Infirmary, Institute for Cardiovascular Resaerch Gale, Chris; University of Leeds, Divison of Epidemiology and Biostatistics; York Teaching Hospital NHS Foundation Trust, Cardiology
<b>Primary Subject Heading</b>:
Cardiovascular medicine
Secondary Subject Heading: Cardiovascular medicine, Epidemiology
Keywords: Cardiac Epidemiology < CARDIOLOGY, Coronary heart disease < CARDIOLOGY, Myocardial infarction < CARDIOLOGY
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Title: Evaluation of the Methods and Management of Acute Coronary Events
(EMMACE)-3: protocol for a longitudinal study
Authors: Alabas OA1, West RM2, Gillott RG3, Khatib R3, Hall AS3, Gale CP1,4 on
behalf of the EMMACE-3 Investigators
1 Division of Epidemiology and Biostatistics, University of Leeds, Leeds, UK.
2 Leeds Institute of Health Science, University of Leeds, UK.
3 Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
4 York Teaching Hospital NHS Foundation Trust, York, UK.
Correspondence: Chris P. Gale
BSc (Hon), MB;BS, PhD, Dip, M.Ed, FESC. MSc, FRCP
Associate Professor of Cardiovascular Health Research, Honorary Consultant
Cardiologist.
Division of Epidemiology and Biostatistics, Level 8, Worsley building, University of
Leeds, Clarendon Way, West Yorkshire, Leeds, LS2 9JT, UK.
Key words: EMMACE-3; acute coronary syndrome; health related quality of life;
medications; outcomes; electronic health records.
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Abstract
Introduction: Patients with cardiovascular disease are living longer and are more
frequently accessing healthcare resources. The Evaluation of the Methods and
Management of Acute Coronary Events (EMMACE)-3 national study is designed to
improve understanding of the effect of quality of care on health-related outcomes for
patients hospitalised with ACS.
Methods and analysis: EMMACE-3 is a longitudinal study of 5535 patients
hospitalised with an acute coronary syndrome in England. The study collects
repeated measures of health related quality of life, information about medications
and patient adherence profiles, a survey of hospital facilities, and morbidity and
mortality data from linkages to multiple electronic health records. Together with
EMMACE-3X and EMMACE-4, EMMACE-3 will assimilate detailed information for
about 13,000 patients across more than 60 hospitals in England.
Ethics and dissemination: EMMACE-3 was given a favourable ethical opinion by
Leeds (West) Research Ethics committee (REC reference: 10/H131374). Upon
successful application, study data will be shared with academic collaborators. The
findings from EMMACE-3 will be disseminated through peer reviewed publications,
at scientific conferences, the media, and through patient and public involvement.
Study registration number: ClinicalTrials.gov Identifier: NCT01808027. Information
about the study is also available at EMMACE.org.
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Key Messages
• EMMACE-3 is a contemporary longitudinal study of trajectories of recovery
after hospitalised acute coronary syndrome.
• Comprehensive patient-level and hospital-level data are being collected using
multiple electronic health records linked to bespoke survey data.
• Together with EMMACE-3X and EMMACE-4, EMMACE-3 aims to gather
repeated measures data for about 13,000 patients admitted to hospitals
across England.
• Non-identifiable data will be made available to academic collaborators upon
approval of application.
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INTRODUCTION
Cardiovascular health and care
The last 10 years has seen a decline in mortality rates from cardiovascular
disease.1,2 In the United Kingdom (UK) from 2003 through 2010, the risk of in-
hospital mortality from acute coronary syndrome (ACS) has fallen by half.3,4
Nevertheless, cardiovascular disease is the leading cause of death in the UK and is
responsible for over 4 million deaths per year in Europe.5,6
In addition, cardiovascular disease confers a substantial morbidity and financial
burden.7,8 Elderly patients with ACS account for more than half of all admissions to
hospital.9,10 As a result of a reduction in mortality rates, patients are living longer and
more frequently accessing health care services. The forecasted impact of heart
failure, cerebrovascular disease and recurrent ACS as a result of improved survival
is unpreceented.7,11,12 Moreover, cardiovascular disease already costs the UK
economy £29.1 billion in healthcare, informal care and productivity losses.8
Consequently, there are new challenges for making the best use of scarce
healthcare resources. Future policies will require enhanced regulatory apparatus to
respond to the increasing demand.
Two important question facing healthcare decision-makers are: 1) how do patients
recover from ACS, and 2) how does their initial presentation and hospital care impact
on subsequent healthcare resource use and health-related outcomes? Recently, a
succession of large-scale UK observational studies were funded - aiming to improve
the understanding of variation in cardiovascular quality of care and outcomes.13 We
also have sought to anticipate and understand these challenges. In this paper we
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describe the profile of the Evaluation of the Methods and Management of Acute
Coronary Events (EMMACE)-3 study, a unique national collaborative research effort
collecting repeated measures for medicines and their adherence profiles, health
related quality of life, cardiac rehabilitation, hospital readmissions and cause-specific
mortality in patients who have been hospitalised with ACS.
Evaluation of the Methods and Management of Acute Coronary Events
(EMMACE)
EMMACE-3 is the third in a series of prospective studies. EMMACE-1 and
EMMACE-2 were regional, multi-centre, cross-sectional evaluations of around 2500
hospitalised ACS patients each, undertaken in 1994 and 2003, respectively. That
coincided with being five years before and then also after the major national initiative
in this area: the National Service Framework (NHS) for Coronary Heart Disease).14
The original study (commissioned by NHS R&D) was tasked with assessing alternate
methods of case ascertainment and their impact on assessment of quality of care.15
The studies have each reported variations in hospital outcomes,16,17 temporal
improvements in the adherence to guideline recommended therapies and their
association with a decline in mortality rates, 18 impact of cardiac rehabilitation on
survival,19 impact of clinical investigations and treatments on mortality 20-22 and the
relative impact of diabetes on early and late mortality by temporal changes in
hospital care.23, 24
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Aims and objectives
The objective of EMMACE-3 is to improve the understanding of the effect of quality
of care on health-related outcomes for patients hospitalised with ACS. The study
aims to 1) quantify variation in health-related outcomes from ACS, 2) identify
modifiable factors which could lead to improve quality of care and health, 3)
investigate the longer-term trajectories of recovery from ACS, and 4) describe the
use of guideline recommended medicines. Upon completion, the study will allow the
evaluation of the full pathway of care from hospital to community, providing data
which other cardiovascular studies lack.
METHODS AND ANALYSIS
Study design
EMMACE-3 is a multi-centre longitudinal cohort study of ACS outcomes from time of
hospital discharge over 1 year. The combined primary end point is time to first
occurrence of a major adverse cardiovascular events (MACCE), defined as one of
the following: death, non-fatal acute myocardial infarction and coronary
revascularisation. The secondary end points are (i) quality of life assessed using
EuroQol 5-dimension, EQ-5D25, (ii) readmission to hospital with ACS, (iii) new
diagnosis of, or hospitalisation, for heart failure, (iv) medication use and patient
adherence profiles, (v) cessation of smoking, (vi) completion of cardiac rehabilitation.
Study setting
EMMACE-3 is based at the University of Leeds who is its sponsor. Data storage,
linkage, sharing and other processing will be undertaken at the University of Leeds in
partnership with Leeds Teaching Hospitals NHS Trust. EMMACE-3 forms part of a
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portfolio of collaborative cardiovascular studies using EHRs working with a number
of partner organisations including the Farr Institute, University College London and
the National Institute for Cardiovascular Outcomes Research, University College
London. The EMMACE-3 investigators and collaborators are a multidisciplinary team
of epidemiologists, biostatisticians, health service researchers, health informaticians
and clinical cardiologists.
Study timeline
EMMACE-3 began on 1st November, 2011 and completed recruitment of 5555
patients on 17th September, 2013. For up to 10 years data will be gathered on these
patients using surveys and EHRs as part of EMMACE-3X study.
Inclusion criteria
The study includes patients aged 18 years or older, who have been admitted with
ACS at one of the participating hospitals in England. The spectrum of ACS
phenotypes includes ST-elevation myocardial infarction (STEMI), non-STEMI
(NSTEMI) and troponin negative ACS (unstable angina (UA)) 26.
Exclusion criteria
Patients at a terminal stage of any illness, and those in whom follow up would be
inappropriate or impractical were excluded from the study.
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Recruitment
Figures 1 and 2 illustrate the spatial coverage and rate at which 5375 participants
(excluding multiple entry records) with ACS from a total of 48 hospitals volunteered
to be part of this project. Each hospital provided their own recruitment support
(Research Nurses) funded through the NIHR-CLRN funding stream (5.2 Research
Support Services Version 5). This model encouraged an exponential rate of new
centre participation as each hospital acted as active stake-holders in the funding
model.
Data collection
Routine clinical information are being gathered from hospital records and clinical
databases and supplemented with data from questionnaires at 3 time points over the
first year after hospital discharge.
EMMACE-3 combines self-reported longitudinal data on numerous health
parameters with cross-sectional disease-specific clinical information (Figure 3). The
cross-sectional data, which is summarised in Tables 1 and 2, includes: 1)
demographic data such as age, sex, place of treatment and residency, 2) information
from the national heart attack registry Myocardial Ischaemia National Audit Project,
MINAP)27, 3) a survey of hospital-level cardiovascular facilities and 4) patient-level
deprivation indices (Index of Multiple Deprivation score, Townsend score28.
Longitudinal data is being collected at four time points: in-hospital, 1 month, 6
months and 12 months post discharge (Figure 3). These include measures of: 1)
health related quality of life (EQ-5D),25 2) General Practitioner and hospital
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specialists appointments, 3) physical activity, 4) cardiac rehabilitation, 5) prescribed
medications and 6) indices of medicines-taking behaviour including the Morisky
Medication Adherence, Adherence Estimator, A modified version of the Single
Question Questionnaire, Beliefs about Medicines Questionnaire and other
adherence probing questions.29-33
Before each participant is sent a questionnaire their mortality status is checked using
the NHS Summary Care Record. Non-responders are issued a second and third
questionnaire, and/or contacted directly by telephone. Each patients data are tracked
for cause-specific mortality and date of death (from linkage to the Office for National
Statistics).
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Table 1: Baseline patient characteristics.
Patient characteristics N (%)
Demographics
Mean (SD) age, years 64.4 (11.9)
Men 3969 (73.8)
White 3138 (95.2)
Mean (SD) IMD score* 22.6 (15.5)
Current smoker 1142 (32.9)
Ex smoker 1215 (35.0)
Mean (SD) body mass index 28.8 (6.5)
Past medical history
Hypertension 1573 (45.3)
Diabetes mellitus 537 (15.5)
Previous angina 851 (24.5)
Previous myocardial infarction 709 (20.4)
Cerebrovascular disease 168 (4.8)
Asthma or COPD 434 (12.5)
Chronic renal failure 106 (3.1)
Chronic heart failure 68 (2.0)
Peripheral vascular disease 115 (3.3)
Acute coronary syndrome phenotype
STEMI 1,335 (38.6)
NSTEMI 2,008 (58.0)
Unstable angina 47 (1.4)
Medications prescribed at hospital discharge^
Aspirin 3,026 (89.3)
β blockers 2,781 (82.1)
Angiotensin converting enzyme (ACE) inhibitors 2,827 (83.5)
Statins (HMG Co-A reductase inhibitors) 3,025 (89.3)
Thienopyridine inhibitors 2,646 (78.4)
*IMD score: Index of Multiple Deprivation score for 2010.
^ for survivors of the hospital stay, sample of medications given.
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Table 2: Distribution of EMMACE-3 hospital cardiovascular facilities Hospital characteristics N (%)
Foundation Status 33 (68.8)
Primary PCI availability, 24 hours 7 days per week?
No 33 (71.7)
Yes 13 (28.26)
Number of Consultant Cardiologists
<5 21 (56.8)
≥5 16 (43.2)
Number of specialist ACS nurses
None 24 (55.8)
<5 13 (30.2)
≥5 6 (14.0)
Number of specialist heart failure nurses
None 9 (19.6)
<5 32 (69.6)
≥5 5 (10.9)
Number of specialist cardiac rehabilitation nurses
None 2 (4.8)
<5 30 (71.4)
≥5 10 (23.8)
Number of cardiology beds
None 4 (8.7)
<20 13 (28.3)
≥20 29 (63.0)
Number of Coronary Care Unit beds
<10 23 (51.1)
≥10 22 (48.9)
Distance to the nearest intervention centre, miles
Not applicable 15 (34.9)
<20 10 (23.3)
≥20 18 (41.9)
PCI: percutaneous coronary intervention
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Attrition rate
Figure 4 shows that of the survivors, 5326 (99.1%) completed an in-hospital
questionnaire and 4513 (84.0%), 4062 (75.6%) and 3512 (65.3%) subjects
participated at 1 month, 6 months and 12 months, respectively. At these latter time
points 0.4%, 0.9%, 2.5% and 2.1% of the questionnaire data attrition was due to
deaths. The characteristics of patients by return or not of their questionnaires are
shown in Table 3.
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Table 3: Patient characteristics by response to questionnaire.
Follow-up Hospital stay 1 month 6 months 12 months
Patient characteristics Responder Non-responder Responder Non-responder Responder Non-responder Responder Non-responder
Denominator N=5325 N=49 N=4454 N=862 N=3907 N=1313 N=3287 N=1863
Demographics
Mean age (SD), years 64.4 (11.9) 63.2 (14.2) 65.3 (11.4) 59.2 (12.8) 65.8 (11.2) 59.0 (12.1) 66.4 (10.9) 59.7 (12.0)
Men (%) 3919 (73.9) 36 (73.5) 3279 (73.7) 649 (75.4) 2871 (73.5) 993 (75.7) 2418 (73.6) 1394 (74.9)
White 3102 (95.2) 21 (91.3) 2643 (96.3) 460 (94.3) 2345 (95.8) 709 (92.9) 1982 (96.0) 1034 (93.2)
Median (IQR) IMD score 18.1 20.6 17.4 22.5 17.1 21.4 16.7 18.8
ACS phenotype
STEMI 1321 (38.7) 9 (34.6) 1113 (38.0) 212 (42.6) 985 (37.9) 330 (42.3) 827 (37.7) 482 (42.1)
NSTEMI 1982 (58.0) 17 (65.4) 1,717 (58.7) 269 (54.0) 1522 (58.6) 425 (54.4) 1287 (58.7) 627 (54.8)
UA 47 (1.4) 0 43 (1.5) 4(0.8) 42 (1.6) 5 (0.6) 37 (1.7) 10 (0.9)
ACS: acute coronary syndrome, STEMI: ST-elevation myocardial infarction, NSTEMI: non ST-elevation myocardial infarction, UA: unstable
angina.
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Electronic health records linkage
EMMACE-3 embraces the efficiency of contemporary observational research design.
It imports, pools and links EHR information derived from existing national clinical and
administrative data warehouses to patient-level repeated measures survey data. For
mortality status the linkage success was 96.0%. Presently, for MINAP and hospital
cardiovascular facilities data, the import success is 66.2% and 100.0% respectively.
(Table 4).
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Table 4: Data sources, types of data and collection system linked in the EMMACE-3 study
Parameter categories Data source Data type Linkage /recording
success
Clinical phenotype, characteristics and treatments MINAP Cross-sectional 66.2%
Date of death NHS Summary Care Record Longitudinal 96.0%
Cause of death ONS Longitudinal In process
Hospital facilities data EMMACE-3 survey Cross-sectional 100 %
Deprivation scores Department of community
and local government
Cross-sectional 94.5%
Survey data: hospital stay EMMACE-3 survey Longitudinal 99.1%
Survey data:one month from hospital discharge EMMACE-3 survey Longitudinal 83.0%
Survey data:six months from hospital discharge EMMACE-3 survey Longitudinal 72.7%
Survey data: twelve months from hospital discharge EMMACE-3 survey Longitudinal 61.2%
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International cardiovascular research platform
Each participant was asked if they would be willing to have their contact details and
clinical data securely stored on a database, and to be contacted for potential
participation in future observational studies and clinical trials. In total, 5375
consented to participate in EMMACE-3 and 3875 to have their data stored for the
purposes of re-contact for future research.
Statistical analysis
Shared frailty survival models (nesting patients within hospitals) will be used to
estimate factors associated with time to primary endpoint. Factors to be evaluated
will include medications, health related quality of life and hospital facilities data and
baseline clinical characteristics using a significance level of 0.05. Sequential health
related quality of life data will be studied both as a measure of outcome (recovery
pattern) and predictor of outcome (prognostic marker). Missing data will be multiply
imputed, with values will be derived from an imputation model based upon the
observed values.34 Statistical analyses will be performed using Stata version 12.1
(StataCorp)
Collaboration
One of the goals of EMMACE-3 is to enable and facilitate national and international
collaborations. The rich patient-level data will be an important resource for the
identification of cardiovascular participants into trials. Further information about the
study is available at ClinicalTrial.gov (NCT01808027), EMMACE.org. Collaborators
are invited to contact the Chief Investigator, Chris Gale at [email protected].
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Data will be available to non-commercial research organisations subject to approval
by the CI. Only pseudonymised data will be released to collaborators.
EMMACE-3X
EMMACE-3X is an EMMACE-3 extension study with favourable ethical opinion
(13/YH/0277) and is adopted onto the NIHR CRN portfolio. Patients recruited to the
EMMACE-3 study are being re-contacted and invited to participate in the EMMACE-
3X study. EMMACE-3X aims to collect health related quality of life data using the
EQ-5D25 and MacNew35 questionnaires as well as medications data for each
participant annually until death or up to 10 years. Furthermore, EMMACE-3X will link
EMMACE-3 data with Hospital Episode Statistics (HES) and primary care data
(Figure 3). Further information about EMMACE-3X is available at ClinicalTrial.gov
(NCT01955525), EMMACE.org.
EMMACE-4
EMMACE-4 has favourable ethical opinion (12/WM/0431) and is the latest active
study in the EMMACE series. It is adopted onto the NIHR CRN portfolio and will
accrue 8000 participants across England. It, also, is a longitudinal study of ACS
trajectories of recovery after hospitalisation with ACS. EMMACE-4 will enhance its
data collection using EHR data from primary care (using databases such as; The
Phoenix Partnership (TPP) Research One and The Clinical Practice Research
Datalink (CPRD)), pharmacy databases and from linkage to HES data. In addition, it
is collecting patient reported experience measures (The Picker Patient Experience
Questionnaire PPE-15),36 repeated measures of EQ-5D,25 Brief Illness Perception
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(IPQ), 37 the Satisfaction with Information about Medicines Scale (SIMS), 38 a
modified version of the Single Question Questionnaire,32 medications adherence and
cause-specific mortality (Figure 3). Further information about EMMACE-4 is available
at ClinicalTrial.gov (NCT01819103), EMMACE.org.
STRENGTHS AND LIMITATIONS
EMMACE-3 is a contemporary longitudinal study of detailed trajectories of quality of
health care and outcomes for ACS. Other observational cardiovascular studies have
been instrumental in realising the research potential of linked EHRs, but have been
limited by their lack of data for health related quality of life and medication
adherence. 39 The study strengths are:
• National and representative sample of contemporary ACS hospitalisations
• Multi-centre design allowing comparative analyses
• Repeated multi-dimensional validated measures of health related quality of
life and medication adherence profiles
• Efficiency of research data enhancement through bespoke linkages to clinical
and administrative electronic health care records
• Participant consent to enter future research studies
• Scalability through responsive funding from the NIHR
• Potential for health economic evaluations
There are, however, a number of limitations. Case ascertainment is not 100% and
there is evidence for survivorship bias. However, recruitment of all ACS was not the
remit of EMMACE-3. If necessary, more complete case ascertainment of ACS may
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be estimated through the pooling of multiple secondary and primary care sources of
EHRs.39 For the questionnaire data, missingness varied between 2% and 40%, and
for MINAP data fields varied between 1% and 10%.
Ethics and Dissemination
EMMACE-3 was given a favourable ethical opinion by Leeds (West) Research Ethics
committee (REC reference: 10/H131374). Upon successful application, study data
will be shared with academic collaborators. The findings from EMMACE-3 will be
disseminated through peer reviewed publications, at scientific conferences, the
media, and through patient and public involvement.
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Contributors: CG is the Chief Investigator of EMMACE-3, 3X and 4 and led the
development of the protocol, organization and funding. OA and CG participated in
writing the manuscript and analysing data. All authors have read the draft critically to
make contributions and also approved the final text.
Funding This work was supported by the National Institute for Health Research
grant number (NIHR/CS/009/004).
Competing interests None
Patient consent Obtained
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement Only pseudonymised data will be released to collaborators.
Acknowledgement
We gratefully acknowledge the participation of the EMMACE hospitals, their
research staff, principal investigators and the EMMACE study team.
EMMACE-3 investigators:
Basel Hanbali Airedale NHS Foundation Trust, John Davies Basildon and Thurrock
University Hospitals NHS Foundation Trust, Ranjit More Blackpool Teaching
Hospitals NHS Foundation Trust, Steve Lindsay Bradford Teaching Hospitals NHS
Foundation Trust, Piers Clifford Buckinghamshire Healthcare NHS Trust,Tim
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Reynolds Burton Hospitals NHS Foundation Trust, S Grant Calderdale and
Huddersfield NHS Foundation Trust, Justin Cooke Chesterfield royal Hospital NHS
Foundation Trust, Shahid Junejo and Samuel McClure City Hospitals Sunderland
NHS Foundation Trust, Mark Scoote Colchester Hospital University NHS Foundation
Trust, Mohammed Ahmed El-Harari County Durham and Darlington NHS Foundation
Trust, John McDonald East Lancashire Hospitals NHS Trust, Matthew Faircloth
Frimley Park Hospital NHS Foundation Trust, Mark Appleby Harrogate and District
NHS Foundation Trust, Mohammed AlObaidi Heatherwood and Wexham Park
Hospitals NHS Foundation Trust, Farqad Almagir Hull and East Yorkshire Hospitals
NHS Trust, Simon Hetherington Kettering General Hospital NHS Foundation Trust,
Somnath Kumar Lancashire Teaching Hospitals NHS Foundation Trust, Chris Gale
Leeds Teaching Hospitals NHS Trust &York Teaching Hospital NHS Foundation
Trust, Nicola Brooks Medway NHS Foundation Trust, Ted Lo Mid Staffordshire NHS
Foundation Trust, Philip Batin Mid Yorkshire Hospitals NHS Trust, Raj Khiani Milton
Keynes Hospital NHS Foundation Trust, Alan Bagnall Newcastle Hospitals NHS
Foundation Trust, Roger Moore North Cumbria University Hospitals NHS Trust,
Christopher Gibbs Northern Devon Healthcare NHS Trust, Sudipta Chattopadhyay
Northern Lincounshire and Goole Hospitals NHS Foundation Trust, Honey Thomas
Northumbria Healthcare NHS Foundation Trust, Jolanta Sobolewska Pennine Acute
Hospitals NHS Trust, Dr Jo Porter Peterborough and Stamford Hospitals Trust,
Venkatesan Suresh Plymouth Hospitals NHS Trust, Paul Kalra Portsmouth Hospitals
NHS Trust, Usman El-Sheikh Royal Devon and Exeter NHS Foundation Trust,
Anwar Memon Scarborough and North East Yorkshire Health Care NHS Trust, John
Rowley Sherwood Forest Hospitals NHS Foundation Trust, Nigel Capps Shrewsbury
and Telford Hospitals NHS Trust, Philip Keeling South Devon Healthcare NHS
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Foundation Trust, Mark De Belder South Tees Hospitals NHS Foundation Trust,
Thuraia Nageh Southend University Hospitals NHS Foundation Trust, Philip Lewis
Stockport NHS Foundation Trust, Mark Dayer Taunton and Somerset NHS
Foundation Trust, Alan Baonall The Newcastle Upon Tyne Hospitals NHS
Foundation Trust, Adrian Brodison University Hospital of Morecambe Bay NHS
Foundation Trust, Ian Hudson University Hospitals of Leicester NHS Trust,
Francesco Lo Monaco West Middlesex University Hospital NHS Trust, Telal Mudawi
Wrightington Wigan and Leigh NHS Foundation Trust.
Legend
Figure 1: Regional map of English National Health Service hospitals and patients
participating in EMMACE-3
Figure 2: EMMACE-3 cumulative recruitment of participants
Figure 3: Flow chart of the EMMACE studies
Figure 4: Flow diagram showing number of EMMACE-3 participants at each phase of
the study
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