Cardiovascular Disease Population Risk Tool (CVDPoRT)
26. april 2017 opdateret af: Ottawa Hospital Research Institute
Risk of Cardiovascular Disease in Canada and Burden of Health Behaviours: Development of Population-based Risk Algorithms
The purpose of this study is to develop, evaluate, and apply a predictive algorithm for assessing CVD risk in the community setting: the Cardiovascular Disease Population Risk Tool (CVDPoRT).
Studieoversigt
Status
Afsluttet
Betingelser
Detaljeret beskrivelse
This observational study will use the Ontario sample of the Canadian Community Health Survey (2001, 2003, 2005; 77,251 respondents) to assess risk factors - focusing on health behaviours (physical activity, diet, smoking, and alcohol use).
Incident CVD outcomes will be assessed through linkage to administrative healthcare databases (619,886 person-years of follow-up until 31 December 2011).
Socio-demographic factors (age, sex, immigrant status, education) and mediating factors such as presence of diabetes and hypertension will be included as predictors.
Risk prediction models will be developed using competing risks survival analysis.
The analysis plan adheres to published recommendations for the development of valid risk prediction models to limit the risk of over-fitting and improve the quality of predictions.
Key considerations are fully pre-specifying the predictor variables; appropriate handling of missing data; use of flexible functions for continuous predictors; and avoiding data-driven variable selection procedures that increase the risk of type I error.
The 2007 and 2009 surveys (approximately 50,000 respondents) will be used for validation.
Calibration will be assessed overall and in predefined subgroups of importance to clinicians and policymakers.
Undersøgelsestype
Observationel
Tilmelding (Faktiske)
104219
Deltagelseskriterier
Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.
Berettigelseskriterier
Aldre berettiget til at studere
20 år og ældre (Voksen, Ældre voksen)
Tager imod sunde frivillige
Ja
Køn, der er berettiget til at studere
Alle
Prøveudtagningsmetode
Sandsynlighedsprøve
Studiebefolkning
The derivation cohort will be eligible respondents to the combined 2001, 2003 and 2005 Canadian Community Health Surveys, conducted by Statistics Canada.
The validation cohort will consist of respondents to the 2007 and 2009 surveys.
Beskrivelse
Inclusion Criteria:
- Respondents to the Canadian Community Health Surveys
Exclusion Criteria:
- Not eligible for Ontario's universal health insurance program
- Pregnant
- Prior history of heart disease or stroke
- Younger than age 20
Studieplan
Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
Kohorter og interventioner
Gruppe / kohorte |
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Derivation cohort
Eligible respondents to the combined 2001, 2003 and 2005 Canadian Community Health Surveys, conducted by Statistics Canada.
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Validation cohort
Eligible respondents to the 2007 and 2009 Canadian Community Health Surveys.
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Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Major Cardiovascular Disease Event
Tidsramme: up to 12 years
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The primary outcome of interest was a major CVD event resulting in hospitalization or sudden death from CVD. Respondents were followed from the survey administration date until the earliest of: incident event, death due to causes other than CVD (defined as a competing risk), loss to follow-up (defined as loss of health care eligibility), or end of study (31 December 2012).
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up to 12 years
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Andre resultatmål
Resultatmål |
Tidsramme |
|---|---|
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Death Due to Causes Other Than CVD
Tidsramme: up to 12 years
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up to 12 years
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Samarbejdspartnere og efterforskere
Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.
Publikationer og nyttige links
Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.
Generelle publikationer
- Manuel DG, Tuna M, Bennett C, Hennessy D, Rosella L, Sanmartin C, Tu JV, Perez R, Fisher S, Taljaard M. Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool (CVDPoRT). CMAJ. 2018 Jul 23;190(29):E871-E882. doi: 10.1503/cmaj.170914.
- Taljaard M, Tuna M, Bennett C, Perez R, Rosella L, Tu JV, Sanmartin C, Hennessy D, Tanuseputro P, Lebenbaum M, Manuel DG. Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol. BMJ Open. 2014 Oct 23;4(10):e006701. doi: 10.1136/bmjopen-2014-006701.
Datoer for undersøgelser
Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.
Studer store datoer
Studiestart
1. september 2000
Primær færdiggørelse (Faktiske)
1. december 2014
Studieafslutning (Faktiske)
1. april 2016
Datoer for studieregistrering
Først indsendt
6. oktober 2014
Først indsendt, der opfyldte QC-kriterier
14. oktober 2014
Først opslået (Skøn)
17. oktober 2014
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
7. august 2017
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
26. april 2017
Sidst verificeret
1. april 2017
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- CIHR FRN - 133550
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
JA
IPD-planbeskrivelse
The final model parameters will be provided in Predictive Modelling Markup Language (PMML) and Lime questionnaire files; as well, we will provide a mock dataset.
These files can be used to generate risk estimates in computer applications.
Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .
Kliniske forsøg med Hjerte-kar-sygdomme
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Ottawa Hospital Research InstituteAfsluttetStress | Crisis Resource Management (CRM) færdigheder | Advanced Cardiovascular Life Support (ACLS) færdighederCanada