Developing Non-Laboratory Cardiovascular Risk Assessment Charts and Validating Laboratory and Non-Laboratory-Based Models.

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cam.issuedOnline2021-09-02
dc.contributor.authorHassannejad, Razieh
dc.contributor.authorMansourian, Marjan
dc.contributor.authorMarateb, Hamidreza
dc.contributor.authorMohebian, Mohammad Reza
dc.contributor.authorGaziano, Thomas Andrew
dc.contributor.authorJackson, Rodney T
dc.contributor.authorAngelantonio, Emanuele Di
dc.contributor.authorSarrafzadegan, Nizal
dc.contributor.orcidDi Angelantonio, Emanuele [0000-0001-8776-6719]
dc.date.accessioned2022-01-06T11:51:18Z
dc.date.available2022-01-06T11:51:18Z
dc.date.issued2021
dc.date.updated2022-01-06T11:51:17Z
dc.description.abstractBACKGROUND: Developing simplified risk assessment model based on non-laboratory risk factors that could determine cardiovascular risk as accurately as laboratory-based one can be valuable, particularly in developing countries where there are limited resources. OBJECTIVE: To develop a simplified non-laboratory cardiovascular disease risk assessment chart based on previously reported laboratory-based chart and evaluate internal and external validation, and recalibration of both risk models to assess the performance of risk scoring tools in other population. METHODS: A 10-year non-laboratory-based risk prediction chart was developed for fatal and non-fatal CVD using Cox Proportional Hazard regression. Data from the Isfahan Cohort Study (ICS), a population-based study among 6504 adults aged ≥ 35 years, followed-up for at least ten years was used for the non-laboratory-based model derivation. Participants were followed up until the occurrence of CVD events. Tehran Lipid and Glucose Study (TLGS) data was used to evaluate the external validity of both non-laboratory and laboratory risk assessment models in other populations rather than one used in the model derivation. RESULTS: The discrimination and calibration analysis of the non-laboratory model showed the following values of Harrell's C: 0.73 (95% CI 0.71-0.74), and Nam-D'Agostino χ2:11.01 (p = 0.27), respectively. The non-laboratory model was in agreement and classified high risk and low risk patients as accurately as the laboratory one. Both non-laboratory and laboratory risk prediction models showed good discrimination in the external validation, with Harrell's C of 0.77 (95% CI 0.75-0.78) and 0.78 (95% CI 0.76-0.79), respectively. CONCLUSIONS: Our simplified risk assessment model based on non-laboratory risk factors could determine cardiovascular risk as accurately as laboratory-based one. This approach can provide simple risk assessment tool where laboratory testing is unavailable, inconvenient, and costly.
dc.identifier.doi10.17863/CAM.79612
dc.identifier.eissn2211-8179
dc.identifier.issn2211-8160
dc.identifier.otherPMC8428313
dc.identifier.other34692382
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332166
dc.languageeng
dc.publisherUbiquity Press, Ltd.
dc.publisher.urlhttp://dx.doi.org/10.5334/gh.890
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2211-8179
dc.sourcenlmid: 101584391
dc.subjectCardiovascular Disease
dc.subjectIsfahan Cohort Study
dc.subjectLaboratory-based model
dc.subjectNon-laboratory-based model
dc.subjectrisk assessment
dc.subjectAdult
dc.subjectCardiovascular Diseases
dc.subjectCohort Studies
dc.subjectHeart Disease Risk Factors
dc.subjectHumans
dc.subjectIran
dc.subjectLaboratories
dc.subjectRisk Assessment
dc.subjectRisk Factors
dc.titleDeveloping Non-Laboratory Cardiovascular Risk Assessment Charts and Validating Laboratory and Non-Laboratory-Based Models.
dc.typeArticle
dcterms.dateAccepted2021-08-20
prism.issueIdentifier1
prism.publicationNameGlob Heart
prism.volume16
pubs.funder-project-idBritish Heart Foundation (None)
pubs.funder-project-idBritish Heart Foundation (CH/12/2/29428)
pubs.funder-project-idBritish Heart Foundation (RG/18/13/33946)
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
rioxxterms.versionVoR
rioxxterms.versionofrecord10.5334/gh.890
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