Developing Non-Laboratory Cardiovascular Risk Assessment Charts and Validating Laboratory and Non-Laboratory-Based Models.
dc.contributor.author | Hassannejad, Razieh | |
dc.contributor.author | Mansourian, Marjan | |
dc.contributor.author | Marateb, Hamidreza | |
dc.contributor.author | Mohebian, Mohammad Reza | |
dc.contributor.author | Gaziano, Thomas Andrew | |
dc.contributor.author | Jackson, Rodney T | |
dc.contributor.author | Di Angelantonio, Emanuele | |
dc.contributor.author | Sarrafzadegan, Nizal | |
dc.date.accessioned | 2022-01-06T11:51:18Z | |
dc.date.available | 2022-01-06T11:51:18Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2211-8160 | |
dc.identifier.other | PMC8428313 | |
dc.identifier.other | 34692382 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/332166 | |
dc.description.abstract | Background: 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.language | eng | |
dc.publisher | Ubiquity Press, Ltd. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | essn: 2211-8179 | |
dc.source | nlmid: 101584391 | |
dc.subject | Cardiovascular disease | |
dc.subject | risk assessment | |
dc.subject | Isfahan Cohort Study | |
dc.subject | Laboratory-Based Model | |
dc.subject | Non-Laboratory-Based Model | |
dc.subject | Humans | |
dc.subject | Cardiovascular Diseases | |
dc.subject | Risk Assessment | |
dc.subject | Risk Factors | |
dc.subject | Cohort Studies | |
dc.subject | Adult | |
dc.subject | Laboratories | |
dc.subject | Iran | |
dc.subject | Heart Disease Risk Factors | |
dc.title | Developing Non-Laboratory Cardiovascular Risk Assessment Charts and Validating Laboratory and Non-Laboratory-Based Models. | |
dc.type | Article | |
dc.date.updated | 2022-01-06T11:51:17Z | |
prism.issueIdentifier | 1 | |
prism.publicationName | Glob Heart | |
prism.volume | 16 | |
dc.identifier.doi | 10.17863/CAM.79612 | |
dcterms.dateAccepted | 2021-08-20 | |
rioxxterms.versionofrecord | 10.5334/gh.890 | |
rioxxterms.version | VoR | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.contributor.orcid | Di Angelantonio, Emanuele [0000-0001-8776-6719] | |
dc.identifier.eissn | 2211-8179 | |
pubs.funder-project-id | British Heart Foundation (None) | |
pubs.funder-project-id | British Heart Foundation (CH/12/2/29428) | |
pubs.funder-project-id | British Heart Foundation (RG/18/13/33946) | |
cam.issuedOnline | 2021-09-02 |
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