Coronary Heart DiseaseNCT03133689
Alcohol Consumption and Coronary Heart Disease Onset
An observational study of Coronary Heart Disease, run by University College, London at 1 site in United Kingdom.
Trial summary
The primary aim of this study is to examine if long-term patterns of alcohol consumption are associated with time-to-onset for incident coronary heart disease (fatal and non-fatal), using data from multiple cohorts. Read more about this study
- Who is it for?
- Ages 32 years and older
- Conditions the study is for
- Coronary Heart Disease
- How many people
- 35,132 participants
- Where
- 1 siteUnited Kingdom
- Study dates
- 1 Mar 2017to 12 Dec 2017
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 32 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: The participants will be drawn from birth, regional and occupational cohort studies in England, Wales, Scotland and France.
Who may be able to join
- Participated in cohort studies being investigated
- Provided alcohol intake data at least one time point
- Was included in coronary heart disease onset tracking
Who cannot join
- Left cohort study prior to completion of 10 year exposure window
- Had history of coronary heart disease before end of 10 year exposure window
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Alcohol Consumption and Time-to-onset for Coronary Heart Disease: An Individual Participant Data Meta-analysis
The primary aim of this study is to examine if long-term patterns of alcohol consumption are associated with time-to-onset for incident coronary heart disease (fatal and non-fatal), using data from multiple cohorts.
Read the detailed description
The relationship between alcohol consumption and coronary heart disease (CHD) remains an issue of debate. By capturing drinking trajectories over time, we may be equipped to obtain new insights into this relationship. Studies have shown that such trajectories have differential associations for intermediate traits (carotid intima-media thickness, pulse wave velocity and inflammatory markers), but no studies exist that link stability of drinking to actual CHD. The current study will employ a longitudinal cohort design to evaluate the association between long-term alcohol consumption trajectories and time-to-event for CHD. Data will be drawn from six cohorts (five British, one French). The combined participant pool comprises 64,926 individuals (58% male, individual cohort sizes ranging from 1,444 to 25,636 participants); those with a baseline history of CHD will be excluded. Repeat alcohol intake measurements across a 10-year interval will be the exposure, with participants' intake trajectory defined according to their alcohol consumption volume and its consistency over time. To account for heterogeneity across cohorts, individual participant data meta-analysis methods will be employed in determining CHD diagnosis rates and hazard ratios for the different intake trajectories, with adjustment for relevant demographic and clinical characteristics. Results from the modelling work illustrating the form and magnitude of the association between the alcohol intake categories and CHD will be presented.
This work will help further understanding of the role that alcohol intake and its stability over time play in subsequent CHD risk, and will have implications for our understanding of alcohol's relationship to cardiovascular health in the general population.
- Conditions
- Coronary Heart Disease
- Keywords
- Alcohol, Coronary heart disease, Ischemic heart disease, Cardiovascular health, Individual participant data meta-analysis, Longitudinal
- Medical subject headings
- Coronary Disease, Myocardial Ischemia
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| EPIC-Norfolk | This cohort comprises 25,636 residents of a predefined English healthcare region (11,606 men and 14,030 women). Participants in this cohort study were originally recruited from 35 general practices in Norfolk, England as part of an investigation into diet and cancer, but the study's scope was subsequently widened to include additional outcomes including cardiovascular diseases. | |
| GAZEL | This cohort comprises 20,625 employees of French gas and electricity companies (15,011 men and 5,614 women). The cohort commenced data collection in 1989 and follow-up assessments were subsequently completed on an annual basis. The data have undergone linkage to national health administrative datasets. | |
| NSHD | This dataset comes from the 1946 National Birth Cohort study, which comprises all persons born in England, Scotland and Wales in one week in March 1946. The cohort comprises 5,362 individuals (2,815 men and 2,547 women). Data have been collected from participants on a regular basis throughout their life, including information on lifestyle and, in combination with administrative datasets, on health outcomes. | |
| Twenty-07-1930s | This cohort comprises 1,551 Scottish participants (702 men and 849 women) born around 1932 who were recruited in 1986 as part of a study of health inequalities. The repeated nature of the data collection will enable identification of longitudinal alcohol intake patterns, while linkage to Scottish health system records will enable identification of coronary heart disease onset. | |
| Twenty-07-1950s | This cohort comprises 1,444 Scottish participants (656 men and 788 women) born around 1952 who were recruited in 1986, alongside the T-07-1930s' cohort, as part of a study of health inequalities. Participant health was tracked through linkage with national health records. | |
| Whitehall II | This cohort comprises 10,308 British civil servants (6,895 men and 3,413 women). The cohort study commenced data collection in 1985 and participants have since undergone questionnaire and clinical assessments across regular intervals. Additional tracking of health outcomes has been performed through linkage with administrative databases. Demographic, behavioural and clinical data will be sourced from this cohort for the purposes of the current study. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Coronary Heart Disease
Time-to-onset for coronary heart disease (fatal or non-fatal), as ascertained from linked health record data
Measured: From last date of alcohol assessment until the date of hospitalisation or death due to coronary heart disease, up to 22 years depending on cohort
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Apr 2017
- Study start1 Mar 2017
- Primary completion12 Dec 2017
- Study completion12 Dec 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for Coronary Heart DiseaseStudies of the same condition, open and under way.
- More trials run by University College, LondonThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 35,132 participants (actual)
Sponsor and investigators
- Lead sponsor
- University College, London
- Sponsor type
- University, hospital or other
- Collaborators
- Medical Research Council, Alcohol Research UK
- Responsible party
- Sponsor
- Investigators
- D O'Neill, PhD, Principal investigator, University College, London
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03133689
- Sponsor's protocol ID
- UCLAlcoholLifecourse_CHDStudy
- Status last verified
- Apr 2017
- First submitted
- 26 Apr 2017
- Last updated
- 22 Dec 2017
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Researchers can request access to anonymised data. The data are already available to bona fide researchers via application: European Prospective Investigation of Cancer-Norfolk (EPIC-Norfolk; http://www.srl.cam.ac.uk/epic/contact/), Gaz et Electricité (GAZEL; http://www.gazel.inserm.fr/en/projects/submitting-a-project.html), Medical Research Council National Survey of Health and Development 1946 (NSHD; http://www.nshd.mrc.ac.uk/data/), West of Scotland Twenty-07 Study (T-07-1930s and T-07-1950s; http://2007study.sphsu.mrc.ac.uk/Information-on-data-sharing.html), and Whitehall II (WII; http://www.ucl.ac.uk/whitehallII/data-sharing).
Publications
Britton A, Marmot MG, Shipley MJ. How does variability in alcohol consumption over time affect the relationship with mortality and coronary heart disease? Addiction. 2010 Apr;105(4):639-45. doi: 10.1111/j.1360-0443.2009.02832.x. Epub 2010 Feb 9.
PubMed 20148795Roerecke M, Rehm J. The cardioprotective association of average alcohol consumption and ischaemic heart disease: a systematic review and meta-analysis. Addiction. 2012 Jul;107(7):1246-60. doi: 10.1111/j.1360-0443.2012.03780.x. Epub 2012 Mar 21.
PubMed 22229788Marmot M, Brunner E. Cohort Profile: the Whitehall II study. Int J Epidemiol. 2005 Apr;34(2):251-6. doi: 10.1093/ije/dyh372. Epub 2004 Dec 2. No abstract available.
PubMed 15576467Day N, Oakes S, Luben R, Khaw KT, Bingham S, Welch A, Wareham N. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer. 1999 Jul;80 Suppl 1:95-103. No abstract available.
PubMed 10466767Goldberg M, Leclerc A, Zins M. Cohort Profile Update: The GAZEL Cohort Study. Int J Epidemiol. 2015 Feb;44(1):77-77g. doi: 10.1093/ije/dyu224. Epub 2014 Nov 23.
PubMed 25422284Wadsworth M, Kuh D, Richards M, Hardy R. Cohort Profile: The 1946 National Birth Cohort (MRC National Survey of Health and Development). Int J Epidemiol. 2006 Feb;35(1):49-54. doi: 10.1093/ije/dyi201. Epub 2005 Oct 4. No abstract available.
PubMed 16204333Benzeval M, Der G, Ellaway A, Hunt K, Sweeting H, West P, Macintyre S. Cohort profile: west of Scotland twenty-07 study: health in the community. Int J Epidemiol. 2009 Oct;38(5):1215-23. doi: 10.1093/ije/dyn213. Epub 2008 Oct 17. No abstract available.
PubMed 18930962O'Neill D, Britton A, Hannah MK, Goldberg M, Kuh D, Khaw KT, Bell S. Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data. BMC Med. 2018 Aug 22;16(1):124. doi: 10.1186/s12916-018-1123-6.
PubMed 30131059
Study at a glance
From the registry record, last updated by the sponsor on 22 Dec 2017. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Alcohol Consumption and Time-to-onset for Coronary Heart Disease: An Individual Participant Data Meta-analysis
- ClinicalTrials.gov ID
- NCT03133689
- Acronym / sponsor ID
- UCLAlcoholLifecourse_CHDStudy
- Conditions
- Coronary Heart Disease
- Keywords
- Alcohol, Coronary heart disease, Ischemic heart disease, Cardiovascular health, Individual participant data meta-analysis, Longitudinal
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 35,132 participants (actual)
- Lead sponsor
- University College, LondonUniversity, hospital or other
- Collaborators
- Medical Research Council, Alcohol Research UK
- Study start
- 1 Mar 2017 (actual)
- Primary completion
- 12 Dec 2017 (actual)
- Study completion
- 12 Dec 2017 (actual)
- First posted
- 28 Apr 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The primary aim of this study is to examine if long-term patterns of alcohol consumption are associated with time-to-onset for incident coronary heart disease (fatal and non-fatal), using data from multiple cohorts.
Detailed description
The relationship between alcohol consumption and coronary heart disease (CHD) remains an issue of debate. By capturing drinking trajectories over time, we may be equipped to obtain new insights into this relationship. Studies have shown that such trajectories have differential associations for intermediate traits (carotid intima-media thickness, pulse wave velocity and inflammatory markers), but no studies exist that link stability of drinking to actual CHD. The current study will employ a longitudinal cohort design to evaluate the association between long-term alcohol consumption trajectories and time-to-event for CHD. Data will be drawn from six cohorts (five British, one French). The combined participant pool comprises 64,926 individuals (58% male, individual cohort sizes ranging from 1,444 to 25,636 participants); those with a baseline history of CHD will be excluded. Repeat alcohol intake measurements across a 10-year interval will be the exposure, with participants' intake trajectory defined according to their alcohol consumption volume and its consistency over time. To account for heterogeneity across cohorts, individual participant data meta-analysis methods will be employed in determining CHD diagnosis rates and hazard ratios for the different intake trajectories, with adjustment for relevant demographic and clinical characteristics. Results from the modelling work illustrating the form and magnitude of the association between the alcohol intake categories and CHD will be presented.
This work will help further understanding of the role that alcohol intake and its stability over time play in subsequent CHD risk, and will have implications for our understanding of alcohol's relationship to cardiovascular health in the general population.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 6
| Arm | Type | Receives |
|---|---|---|
| EPIC-Norfolk | – | –This cohort comprises 25,636 residents of a predefined English healthcare region (11,606 men and 14,030 women). Participants in this cohort study were originally recruited from 35 general practices in Norfolk, England as part of an investigation into diet and cancer, but the study's scope was subsequently widened to include additional outcomes including cardiovascular diseases. |
| GAZEL | – | –This cohort comprises 20,625 employees of French gas and electricity companies (15,011 men and 5,614 women). The cohort commenced data collection in 1989 and follow-up assessments were subsequently completed on an annual basis. The data have undergone linkage to national health administrative datasets. |
| NSHD | – | –This dataset comes from the 1946 National Birth Cohort study, which comprises all persons born in England, Scotland and Wales in one week in March 1946. The cohort comprises 5,362 individuals (2,815 men and 2,547 women). Data have been collected from participants on a regular basis throughout their life, including information on lifestyle and, in combination with administrative datasets, on health outcomes. |
| Twenty-07-1930s | – | –This cohort comprises 1,551 Scottish participants (702 men and 849 women) born around 1932 who were recruited in 1986 as part of a study of health inequalities. The repeated nature of the data collection will enable identification of longitudinal alcohol intake patterns, while linkage to Scottish health system records will enable identification of coronary heart disease onset. |
| Twenty-07-1950s | – | –This cohort comprises 1,444 Scottish participants (656 men and 788 women) born around 1952 who were recruited in 1986, alongside the T-07-1930s' cohort, as part of a study of health inequalities. Participant health was tracked through linkage with national health records. |
| Whitehall II | – | –This cohort comprises 10,308 British civil servants (6,895 men and 3,413 women). The cohort study commenced data collection in 1985 and participants have since undergone questionnaire and clinical assessments across regular intervals. Additional tracking of health outcomes has been performed through linkage with administrative databases. Demographic, behavioural and clinical data will be sourced from this cohort for the purposes of the current study. |
Who may qualify
- Ages
- 32 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- The participants will be drawn from birth, regional and occupational cohort studies in England, Wales, Scotland and France.
Key inclusion criteria (3 listed)
- Participated in cohort studies being investigated
- Provided alcohol intake data at least one time point
- Was included in coronary heart disease onset tracking
Key exclusion criteria (2 listed)
- Left cohort study prior to completion of 10 year exposure window
- Had history of coronary heart disease before end of 10 year exposure window
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Coronary Heart Disease
Time frame: From last date of alcohol assessment until the date of hospitalisation or death due to coronary heart disease, up to 22 years depending on cohort
Time-to-onset for coronary heart disease (fatal or non-fatal), as ascertained from linked health record data
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Dec 2017.
- Background: PubMed 20148795Britton A, Marmot MG, Shipley MJ. How does variability in alcohol consumption over time affect the relationship with mortality and coronary heart disease? Addiction. 2010 Apr;105(4):639-45. doi: 10.1111/j.1360-0443.2009.02832.x. Epub 2010 Feb 9.
- Background: PubMed 22229788Roerecke M, Rehm J. The cardioprotective association of average alcohol consumption and ischaemic heart disease: a systematic review and meta-analysis. Addiction. 2012 Jul;107(7):1246-60. doi: 10.1111/j.1360-0443.2012.03780.x. Epub 2012 Mar 21.
- Background: PubMed 15576467Marmot M, Brunner E. Cohort Profile: the Whitehall II study. Int J Epidemiol. 2005 Apr;34(2):251-6. doi: 10.1093/ije/dyh372. Epub 2004 Dec 2. No abstract available.
- Background: PubMed 10466767Day N, Oakes S, Luben R, Khaw KT, Bingham S, Welch A, Wareham N. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer. 1999 Jul;80 Suppl 1:95-103. No abstract available.
- Background: PubMed 25422284Goldberg M, Leclerc A, Zins M. Cohort Profile Update: The GAZEL Cohort Study. Int J Epidemiol. 2015 Feb;44(1):77-77g. doi: 10.1093/ije/dyu224. Epub 2014 Nov 23.
- Background: PubMed 16204333Wadsworth M, Kuh D, Richards M, Hardy R. Cohort Profile: The 1946 National Birth Cohort (MRC National Survey of Health and Development). Int J Epidemiol. 2006 Feb;35(1):49-54. doi: 10.1093/ije/dyi201. Epub 2005 Oct 4. No abstract available.
- Background: PubMed 18930962Benzeval M, Der G, Ellaway A, Hunt K, Sweeting H, West P, Macintyre S. Cohort profile: west of Scotland twenty-07 study: health in the community. Int J Epidemiol. 2009 Oct;38(5):1215-23. doi: 10.1093/ije/dyn213. Epub 2008 Oct 17. No abstract available.
- Derived from this study: PubMed 30131059O'Neill D, Britton A, Hannah MK, Goldberg M, Kuh D, Khaw KT, Bell S. Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data. BMC Med. 2018 Aug 22;16(1):124. doi: 10.1186/s12916-018-1123-6.
- University College London Research Department of Epidemiology \& Public HealthLink provided by the sponsor.
- Individual participant dataSharing planned: Yes. Researchers can request access to anonymised data. The data are already available to bona fide researchers via application: European Prospective Investigation of Cancer-Norfolk (EPIC-Norfolk; http://www.srl.cam.ac.uk/epic/contact/), Gaz et Electricité (GAZEL; http://www.gazel.inserm.fr/en/projects/submitting-a-project.html), Medical Research Council National Survey of Health and Development 1946 (NSHD; http://www.nshd.mrc.ac.uk/data/), West of Scotland Twenty-07 Study (T-07-1930s and T-07-1950s; http://2007study.sphsu.mrc.ac.uk/Information-on-data-sharing.html), and Whitehall II (WII; http://www.ucl.ac.uk/whitehallII/data-sharing).
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
D O'Neill, PhD principal investigator
University College, London
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Coronary Heart Disease, run by University College, London at 1 site in United Kingdom.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 22 Dec 2017. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Coronary Heart Disease (time frame: From last date of alcohol assessment until the date of hospitalisation or death due to coronary heart disease, up to 22 years depending on cohort). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03133689, which also lists 8 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Dec 2017.