A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction
Joint Authors
Jia, Xiaona
Baig, Mirza Mansoor
Mirza, Farhaan
Gholam Hosseini, Hamid
Source
Advances in Preventive Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Background and Objective.
Current cardiovascular disease (CVD) risk models are typically based on traditional laboratory-based predictors.
The objective of this research was to identify key risk factors that affect the CVD risk prediction and to develop a 10-year CVD risk prediction model using the identified risk factors.
Methods.
A Cox proportional hazard regression method was applied to generate the proposed risk model.
We used the dataset from Framingham Original Cohort of 5079 men and women aged 30-62 years, who had no overt symptoms of CVD at the baseline; among the selected cohort 3189 had a CVD event.
Results.
A 10-year CVD risk model based on multiple risk factors (such as age, sex, body mass index (BMI), hypertension, systolic blood pressure (SBP), cigarettes per day, pulse rate, and diabetes) was developed in which heart rate was identified as one of the novel risk factors.
The proposed model achieved a good discrimination and calibration ability with C-index (receiver operating characteristic (ROC)) being 0.71 in the validation dataset.
We validated the model via statistical and empirical validation.
Conclusion.
The proposed CVD risk prediction model is based on standard risk factors, which could help reduce the cost and time required for conducting the clinical/laboratory tests.
Healthcare providers, clinicians, and patients can use this tool to see the 10-year risk of CVD for an individual.
Heart rate was incorporated as a novel predictor, which extends the predictive ability of the past existing risk equations.
American Psychological Association (APA)
Jia, Xiaona& Baig, Mirza Mansoor& Mirza, Farhaan& Gholam Hosseini, Hamid. 2019. A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1121817
Modern Language Association (MLA)
Jia, Xiaona…[et al.]. A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1121817
American Medical Association (AMA)
Jia, Xiaona& Baig, Mirza Mansoor& Mirza, Farhaan& Gholam Hosseini, Hamid. A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1121817
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121817