TY  - JOUR
AU  - Bagheri, Nasser
AU  - Gilmour, Bridget
AU  - McRae, Ian
AU  - Konings, Paul
AU  - Dawda, Paresh
AU  - Del Fante, Peter
PY  - 2015
TI  - Community Cardiovascular Disease Risk From Cross-Sectional General Practice Clinical Data: A Spatial Analysis
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E26
VL  - 12
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - INTRODUCTION  Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. METHODS  We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year absolute CVD risk score was calculated based on the Framingham risk equation. The individual risk scores were aggregated within each Statistical Area Level One (SA1) to predict the level of CVD risk in that area. Finally, the pattern of CVD risk was visualized to highlight communities with high and low risk of CVD. RESULTS  The overall 10-year risk of CVD in our sample population was 14.6% (95% confidence interval [CI], 14.3%-14.9%). Of the 4,740 patients in our study, 26.7% were at high risk, 29.8% were at moderate risk, and 43.5% were at low risk for CVD over 10 years. The proportion of patients at high risk for CVD was significantly higher in the communities of low socioeconomic status. CONCLUSION  This study illustrates methods to further explore prevalence, location, and correlates of CVD to identify communities of high levels of unmet need for cardiovascular care and to enable geographic targeting of effective interventions for enhancing early and timely detection and management of CVD in those communities.
SN  - 1545-1151
UR  - http://dx.doi.org/10.5888/pcd12.140379
DO  - 10.5888/pcd12.140379
ER  - 
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