Prognostic Models for People With Stable Coronary Artery Disease
1 other identifier
observational
300,000
1 country
1
Brief Summary
There is currently no published algorithm for secondary prevention prognosis of CHD that is representative of the England GP-registered population and that includes both symptomatic and asymptomatic patients (as identified through primary care). In this paper the investigators will exploit routinely collected information in clinical practice to model CHD prognosis based on a large contemporary open cohort of stable CAD patients. Although the investigators model is based on data from GP practices in England only, the investigators believe that this population is sufficiently heterogeneous in terms of ethnic mix, socioeconomic background, predisposing characteristics and lifestyles to generate a prognostic model with good generalizing power to the wider population. Among the research questions the investigators will try to answer is whether established risk factors for primary care prevention (smoking, hypertension, dyslipidaemia, diabetes) are also reliable for risk-stratification of patients who have already developed CAD. Similarly, the investigators will examine whether strong predictors of adverse outcomes in ACS patients in the short term, such as admission SBP and heart rate, are also associated with their long term prognosis.
Trial Health
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Started Jan 2010
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Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2010
CompletedFirst Submitted
Initial submission to the registry
May 22, 2012
CompletedFirst Posted
Study publicly available on registry
June 1, 2012
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2013
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2014
CompletedJune 1, 2012
May 1, 2012
3.9 years
May 22, 2012
May 29, 2012
Conditions
Keywords
Study Arms (1)
Stable angina
Eligibility Criteria
To define incident cases we will exclude patients who have not been observed during the year prior to their CAD diagnosis date. For prevalent cases we will remove this condition. Our startpoint population is defined as patients aged 18 years or over diagnosed with CAD, under which we include: 1. patients diagnosed with stable angina 2. patients with ACS (STEMI, NSTEMI \& unstable angina) who survived \> 4 weeks. Patients with a CAD diagnosis who received revascularization during follow-up will enter the cohort after the procedure (given post-procedure survival \>4 weeks).
You may qualify if:
- Eligible general practices were defined as practices that meet standards for acceptable levels of data recording (i.e. audits demonstrated that "at least 95% of relevant patient encounters are recorded and data meet quality standards for epidemiological research"7), and have consented to linkage with HES and MINAP (approximately 200 practices).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Clinical Epidemiology Group, UCL
London, WC1E 7HE, United Kingdom
Related Publications (15)
Fox KM; EURopean trial On reduction of cardiac events with Perindopril in stable coronary Artery disease Investigators. Efficacy of perindopril in reduction of cardiovascular events among patients with stable coronary artery disease: randomised, double-blind, placebo-controlled, multicentre trial (the EUROPA study). Lancet. 2003 Sep 6;362(9386):782-8. doi: 10.1016/s0140-6736(03)14286-9.
PMID: 13678872BACKGROUNDSquizzato A, Keller T, Romualdi E, Middeldorp S. Clopidogrel plus aspirin versus aspirin alone for preventing cardiovascular disease. Cochrane Database Syst Rev. 2011 Jan 19;(1):CD005158. doi: 10.1002/14651858.CD005158.pub3.
PMID: 21249668BACKGROUNDClayton TC, Lubsen J, Pocock SJ, Voko Z, Kirwan BA, Fox KA, Poole-Wilson PA. Risk score for predicting death, myocardial infarction, and stroke in patients with stable angina, based on a large randomised trial cohort of patients. BMJ. 2005 Oct 15;331(7521):869. doi: 10.1136/bmj.38603.656076.63. Epub 2005 Oct 6.
PMID: 16210253BACKGROUNDRoques F, Nashef SA, Michel P, Gauducheau E, de Vincentiis C, Baudet E, Cortina J, David M, Faichney A, Gabrielle F, Gams E, Harjula A, Jones MT, Pintor PP, Salamon R, Thulin L. Risk factors and outcome in European cardiac surgery: analysis of the EuroSCORE multinational database of 19030 patients. Eur J Cardiothorac Surg. 1999 Jun;15(6):816-22; discussion 822-3. doi: 10.1016/s1010-7940(99)00106-2.
PMID: 10431864BACKGROUNDSutcliffe SJ, Fox KF, Wood DA, Sutcliffe A, Stock K, Wright M, Akhras F, Langford E. Incidence of coronary heart disease in a health authority in London: review of a community register. BMJ. 2003 Jan 4;326(7379):20. doi: 10.1136/bmj.326.7379.20. No abstract available.
PMID: 12511455BACKGROUNDWalley T, Mantgani A. The UK General Practice Research Database. Lancet. 1997 Oct 11;350(9084):1097-9. doi: 10.1016/S0140-6736(97)04248-7. No abstract available.
PMID: 10213569BACKGROUNDBirkhead J, Walker L. National audit of myocardial infarction (MINAP): a project in evolution. Hosp Med. 2004 Aug;65(8):452-3. doi: 10.12968/hosp.2004.65.8.15487. No abstract available.
PMID: 15330343BACKGROUNDWhite IR, Royston P. Imputing missing covariate values for the Cox model. Stat Med. 2009 Jul 10;28(15):1982-98. doi: 10.1002/sim.3618.
PMID: 19452569BACKGROUNDWood AM, White IR, Royston P. How should variable selection be performed with multiply imputed data? Stat Med. 2008 Jul 30;27(17):3227-46. doi: 10.1002/sim.3177.
PMID: 18203127BACKGROUNDWhite IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011 Feb 20;30(4):377-99. doi: 10.1002/sim.4067. Epub 2010 Nov 30.
PMID: 21225900BACKGROUNDPrentice RL, Kalbfleisch JD, Peterson AV Jr, Flournoy N, Farewell VT, Breslow NE. The analysis of failure times in the presence of competing risks. Biometrics. 1978 Dec;34(4):541-54.
PMID: 373811BACKGROUNDWolbers M, Koller MT, Witteman JC, Steyerberg EW. Prognostic models with competing risks: methods and application to coronary risk prediction. Epidemiology. 2009 Jul;20(4):555-61. doi: 10.1097/EDE.0b013e3181a39056.
PMID: 19367167BACKGROUNDFox KA, Goodman SG, Anderson FA Jr, Granger CB, Moscucci M, Flather MD, Spencer F, Budaj A, Dabbous OH, Gore JM; GRACE Investigators. From guidelines to clinical practice: the impact of hospital and geographical characteristics on temporal trends in the management of acute coronary syndromes. The Global Registry of Acute Coronary Events (GRACE). Eur Heart J. 2003 Aug;24(15):1414-24. doi: 10.1016/s0195-668x(03)00315-4.
PMID: 12909070BACKGROUNDPencina MJ, D'Agostino RB Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011 Jan 15;30(1):11-21. doi: 10.1002/sim.4085. Epub 2010 Nov 5.
PMID: 21204120BACKGROUNDBhatt DL, Eagle KA, Ohman EM, Hirsch AT, Goto S, Mahoney EM, Wilson PW, Alberts MJ, D'Agostino R, Liau CS, Mas JL, Rother J, Smith SC Jr, Salette G, Contant CF, Massaro JM, Steg PG; REACH Registry Investigators. Comparative determinants of 4-year cardiovascular event rates in stable outpatients at risk of or with atherothrombosis. JAMA. 2010 Sep 22;304(12):1350-7. doi: 10.1001/jama.2010.1322. Epub 2010 Aug 30.
PMID: 20805624BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Harry Hemingway, FRCP
University College, London
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Clinical Epidemiology
Study Record Dates
First Submitted
May 22, 2012
First Posted
June 1, 2012
Study Start
January 1, 2010
Primary Completion
December 1, 2013
Study Completion
December 1, 2014
Last Updated
June 1, 2012
Record last verified: 2012-05