Unknown

Dataset Information

0

Performance of a Framingham cardiovascular risk model among Indians and Europeans in New Zealand and the role of body mass index and social deprivation.


ABSTRACT: To evaluate a Framingham 5-year cardiovascular disease (CVD) risk score in Indians and Europeans in New Zealand, and determine whether body mass index (BMI) and socioeconomic deprivation were independent predictors of CVD risk.We included Indians and Europeans, aged 30-74 years without prior CVD undergoing risk assessment in New Zealand primary care during 2002-2015 (n=256?446). Risk profiles included standard Framingham predictors (age, sex, systolic blood pressure, total cholesterol/high-density lipoprotein ratio, smoking and diabetes) and were linked with national CVD hospitalisations and mortality datasets. Discrimination was measured by the area under the receiver operating characteristics curve (AUC) and calibration examined graphically. We used Cox regression to study the impact of BMI and deprivation on the risk of CVD with and without adjustment for the Framingham score.During follow-up, 8105 and 1156 CVD events occurred in Europeans and Indians, respectively. Higher AUCs of 0.76 were found in Indian men (95%?CI 0.74 to 0.78) and women (95%?CI 0.73 to 0.78) compared with 0.74 (95% CI 0.73 to 0.74) in European men and 0.72 (95% CI 0.71 to 0.73) in European women. Framingham was best calibrated in Indian men, and overestimated risk in Indian women and in Europeans. BMI and deprivation were positively associated with CVD, also after adjustment for the Framingham risk score, although the BMI association was attenuated.The Framingham risk model performed reasonably well in Indian men, but overestimated risk in Indian women and in Europeans. BMI and socioeconomic deprivation could be useful predictors in addition to a Framingham score.

SUBMITTER: Rabanal KS 

PROVIDER: S-EPMC6045758 | BioStudies | 2018-01-01T00:00:00Z

SECONDARY ACCESSION(S): 400000

REPOSITORIES: biostudies

Similar Datasets

2015-01-01 | S-EPMC4353842 | BioStudies
2012-01-01 | S-EPMC3338673 | BioStudies
2014-01-01 | S-EPMC4869829 | BioStudies
1000-01-01 | S-EPMC4548065 | BioStudies
1000-01-01 | S-EPMC6172283 | BioStudies
2009-01-01 | S-EPMC2658005 | BioStudies
2020-01-01 | S-EPMC7289794 | BioStudies
1999-01-01 | S-EPMC28170 | BioStudies
2019-01-01 | S-EPMC6892637 | BioStudies
2015-01-01 | S-EPMC4346401 | BioStudies