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The Role of Alcohol Consumption in the Aetiology of Different Cardiovascular Disease Phenotypes: a CALIBER Study

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01864031
Recruitment Status : Unknown
Verified May 2013 by Harry Hemingway, University College, London.
Recruitment status was:  Active, not recruiting
First Posted : May 29, 2013
Last Update Posted : May 29, 2013
Information provided by (Responsible Party):
Harry Hemingway, University College, London

Tracking Information
First Submitted Date May 23, 2013
First Posted Date May 29, 2013
Last Update Posted Date May 29, 2013
Study Start Date January 1997
Estimated Primary Completion Date December 2013   (Final data collection date for primary outcome measure)
Current Primary Outcome Measures
 (submitted: May 28, 2013)
Initial presentation of cardiovascular disease [ Time Frame: Study follow-up will commence on the earliest date that a patient fulfils the study inclusion criteria during the period between 1st January 1997 and 25th March 2010 (maximum of 13 years follow-up) ]
See "Conditions" and "Detailed Description" sections for further description of the endpoints used.
Original Primary Outcome Measures Same as current
Change History No Changes Posted
Current Secondary Outcome Measures
 (submitted: May 28, 2013)
Non-CVD mortality [ Time Frame: Same as for primary outcomes (maximum of 13 years follow-up) ]
Death from non-CVD causes.
Original Secondary Outcome Measures Same as current
Current Other Pre-specified Outcome Measures Not Provided
Original Other Pre-specified Outcome Measures Not Provided
Descriptive Information
Brief Title The Role of Alcohol Consumption in the Aetiology of Different Cardiovascular Disease Phenotypes: a CALIBER Study
Official Title The Role of Alcohol Consumption in the Aetiology of Different Cardiovascular Disease Phenotypes: a CALIBER Study Using Linked Electronic Health Records
Brief Summary The association between alcohol consumption and cardiovascular disease (CVD) has mostly been examined using broad endpoints or cause-specific mortality. The purpose of our study is to compare the effect of alcohol consumption in the aetiology of a range of cardiovascular disease phenotypes.
Detailed Description

The relationship between cardiovascular diseases (CVDs) and alcohol consumption is complex. Moderate alcohol consumption has consistently been found to be associated with a reduced risk of commonly reported aggregates of CVD (e.g. coronary heart disease [CHD]) while heavy drinking (and abstaining from alcohol) is believed to be associated with an augmented risk. However, much remains to be clarified. For example, previous studies have typically been too small in size to adequately assess the impact of alcohol consumption on a range of major, pathologically distinct CVDs. Understanding the role of alcohol consumption in specific CVDs may provide novel insights into the mechanisms which give rise to the observed beneficial effects of moderate consumption for these aggregates.

As the focus of our research question is the effect of alcohol consumption on specific cardiovascular phenotypes we will not derive a single primary outcome. Utilising the strengths of the CALIBER data platform we will define multiple cardiovascular disease outcomes including: chronic stable angina (SA), unstable angina (UA), coronary heart disease not otherwise specified (CHD, NOS), acute myocardial infarction (MI), heart failure (HF), ventricular arrhythmias including cardiac arrest, abdominal aortic aneurysm (AAA), peripheral arterial disease (PAD), ischaemic and haemorrhagic (subarachnoid and intracerebral) strokes, transient ischaemic attack (TIA), and sudden cardiac death (SCD) or unheralded coronary death (UCD). Additionally non-CVD mortality will be defined as a competing outcome. These outcomes are defined/validated using multiple sources; including a combination of symptoms, diagnoses (including the use of additional information from ECG findings and troponin values) and prescriptions.

For comparison purposes (to major studies/existing consortia) we will also estimate models for aggregated CHD (MI and unheralded coronary death), CVD (CHD and stroke of any type) and fatal CVD (combination of fatal CHD and fatal CVD) endpoints.

Secondary outcomes: To examine whether the association between drinking categories and specific MI phenotypes differ we will rerun our models in patients who remained in the cohort from January 2003, when information from MINAP became available. This will allow for the composite MI category to be decomposed into ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (nSTEMI) and myocardial infarction not otherwise specified (MI NOS).

In light of current debates on the U/J-shaped relationship observed between alcohol consumption and aggregated CVD outcomes five drinking categories have been defined including: (1) Never drinkers ("tee-total" and "non-drinkers"), former drinkers (those with codes for "stopped drinking alcohol" and/or "ex-drinker"), occasional drinkers (those with codes for "drinks rarely" and/or "drinks occasionally"), current moderate drinkers (those who had a code for current alcohol consumer and an indicator of whether they drank within daily [4/3 UK units of alcohol for men and women respectively] and weekly [21/14 UK units for men and women respectively] recommended sensible drinking limits) and current heavy drinkers (defined as those who exceeded daily or weekly sensible drinking limits). Unfortunately information on binge drinking was only available for a select minority of the cohort (~100 people) therefore a separate category for this drinking behaviour was not defined (but these patients were coded as heavy drinkers). Our referent category will be current moderate drinkers.

Competing-risk Cox proportional hazard models will be used to examine the association between drinking category and different cardiovascular disease phenotypes. Competing-risk regression takes into account the instantaneous failure rates of specific competing-causes (i.e. different cardiovascular phenotypes and death from non-coronary causes) - not doing so may overestimate the association between drinking categories and outcome. A detailed analytic protocol is available upon request.

This study is part of the CALIBER (Cardiovascular disease research using linked bespoke studies and electronic records) programme funded over 5 years from the NIHR and Wellcome Trust. The central theme of the CALIBER research is linkage of the Myocardial Ischaemia National Audit Project (MINAP) with primary care (GPRD), secondary care (HES) and other resources. The overarching aim of CALIBER is to better understand the aetiology and prognosis of specific coronary phenotypes across a range of causal domains, particularly where electronic records provide a contribution beyond traditional studies. CALIBER has received both Ethics approval (ref 09/H0810/16) and ECC approval (ref ECC 2-06(b)/2009 CALIBER dataset).

Study Type Observational
Study Design Observational Model: Cohort
Time Perspective: Prospective
Target Follow-Up Duration Not Provided
Biospecimen Not Provided
Sampling Method Non-Probability Sample
Study Population The cohort used in the present study was drawn from patients registered with GPRD general practices in England that consented to data linkage (approx. 5% of the UK population). We used an open cohort design, where participants joined the cohort when they met the inclusion criteria at any point between 1st January 1997 and 25th March 2010 (the last GPRD data submission). Patients were included in cohort if they were aged ≥ 30 years, had at least one year of electronic health record data which met GPRD data quality standards, and had no record indicating any cardiovascular disease prior to study entry. Patients were followed up until the date of an initial presentation of one of our cardiovascular endpoints or were censored on the date of leaving the practice/last data submission from their practice. Patients who died before 1st January 2001 were excluded as cause-specific mortality data was not available for them (this approach is adopted in the Prospective Studies Collaboration).
  • Chronic Stable Angina
  • Unstable Angina
  • Coronary Heart Disease Not Otherwise Specified
  • Acute Myocardial Infarction
  • Heart Failure
  • Ventricular Arrhythmias
  • Cardiac Arrest
  • Abdominal Aortic Aneurysm
  • Peripheral Arterial Disease
  • Ischaemic Stroke
  • Subarachnoid Haemorrhagic Stroke
  • Intracerebral Haemorrhagic Stroke
  • Stroke Not Otherwise Specified
  • Sudden Cardiac Death
  • Unheralded Coronary Death
  • Mortality
  • Coronary Heart Disease (CHD)
  • Cardiovascular Disease (CVD)
  • Fatal Cardiovascular Disease (Fatal CVD)
  • ST Elevation Myocardial Infarction (STEMI)
  • Non-ST Elevation Myocardial Infarction (nSTEMI)
  • Myocardial Infarction Not Otherwise Specified (MI NOS)
Intervention Not Provided
Study Groups/Cohorts Not Provided
Publications *

*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
Recruitment Information
Recruitment Status Unknown status
Actual Enrollment
 (submitted: May 28, 2013)
Original Actual Enrollment Same as current
Estimated Study Completion Date December 2014
Estimated Primary Completion Date December 2013   (Final data collection date for primary outcome measure)
Eligibility Criteria

Inclusion Criteria:

  • Aged ≥ 30 years.
  • Patient in a GPRD registered practice that has consented to the linkage process (who also met data quality standards).

Exclusion Criteria:

  • A recorded history of any cardiovascular disease phenotype prior to entering the study.
  • Cause of death unknown.
Sexes Eligible for Study: All
Ages 30 Years and older   (Adult, Older Adult)
Accepts Healthy Volunteers No
Contacts Contact information is only displayed when the study is recruiting subjects
Listed Location Countries United Kingdom
Removed Location Countries  
Administrative Information
NCT Number NCT01864031
Other Study ID Numbers CALIBER 12-02
086091/Z/08/Z ( Other Grant/Funding Number: Wellcome Trust )
RP-PG-0407-10314 ( Other Grant/Funding Number: National Institute for Health Research (NIHR) )
Has Data Monitoring Committee Yes
U.S. FDA-regulated Product Not Provided
IPD Sharing Statement Not Provided
Responsible Party Harry Hemingway, University College, London
Study Sponsor University College, London
Collaborators Not Provided
Principal Investigator: Steven Bell, PhD University College, London
Study Director: Harry Hemingway, FRCP University College, London
PRS Account University College, London
Verification Date May 2013