Improving Global Vascular Risk Prediction With Behavioral and Anthropometric Factors. The Multiethnic NOMAS (Northern Manhattan Cohort Study)

Ralph L. Sacco, Minesh Khatri, Tatjana Rundek, Qiang Xu, Hannah Gardener, Bernadette Boden-Albala, Marco R. Di Tullio, Shunichi Homma, Mitchell S V Elkind, Myunghee C. Paik

Research output: Contribution to journalArticle

Abstract

Objectives: This study sought to improve global vascular risk prediction with behavioral and anthropometric factors. Background: Few cardiovascular risk models are designed to predict the global vascular risk of myocardial infarction, stroke, or vascular death in multiethnic individuals, and existing schemes do not fully include behavioral risk factors. Methods: A randomly derived, population-based, prospective cohort of 2,737 community participants free of stroke and coronary artery disease was followed up annually for a median of 9.0 years in the NOMAS (Northern Manhattan Study) (mean age 69 years, 63.2% women, 52.7% Hispanic, 24.9% African American, and 19.9% white). A global vascular risk score (GVRS) predictive of stroke, myocardial infarction, or vascular death was developed by adding variables to the traditional Framingham cardiovascular variables based on the likelihood ratio criteria. Model utility was assessed through receiver-operating characteristics, calibration, and effect on reclassification of subjects. Results: Variables that significantly added to the traditional Framingham profile included waist circumference, alcohol consumption, and physical activity. Continuous measures for blood pressure and fasting blood sugar were used instead of hypertension and diabetes. Ten-year event-free probabilities were 0.95 for the first quartile of GVRS, 0.89 for the second quartile, 0.79 for the third quartile, and 0.56 for the fourth quartile. The addition of behavioral factors in our model improved prediction of 10-year event rates compared with a model restricted to the traditional variables. Conclusions: A GVRS that combines traditional, behavioral, and anthropometric risk factors; uses continuous variables for physiological parameters; and is applicable to nonwhite subjects could improve primary prevention strategies.

Original languageEnglish (US)
Pages (from-to)2303-2311
Number of pages9
JournalJournal of the American College of Cardiology
Volume54
Issue number24
DOIs
StatePublished - Dec 8 2009

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Blood Vessels
Cohort Studies
Stroke
Cardiovascular Models
Myocardial Infarction
Waist Circumference
Primary Prevention
Hispanic Americans
ROC Curve
Alcohol Drinking
African Americans
Calibration
Blood Glucose
Coronary Artery Disease
Fasting
Exercise
Blood Pressure
Hypertension
Population

Keywords

  • cardiovascular disease
  • cerebrovascular disease
  • epidemiology
  • prevention
  • risk factors

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Improving Global Vascular Risk Prediction With Behavioral and Anthropometric Factors. The Multiethnic NOMAS (Northern Manhattan Cohort Study). / Sacco, Ralph L.; Khatri, Minesh; Rundek, Tatjana; Xu, Qiang; Gardener, Hannah; Boden-Albala, Bernadette; Di Tullio, Marco R.; Homma, Shunichi; Elkind, Mitchell S V; Paik, Myunghee C.

In: Journal of the American College of Cardiology, Vol. 54, No. 24, 08.12.2009, p. 2303-2311.

Research output: Contribution to journalArticle

Sacco, Ralph L. ; Khatri, Minesh ; Rundek, Tatjana ; Xu, Qiang ; Gardener, Hannah ; Boden-Albala, Bernadette ; Di Tullio, Marco R. ; Homma, Shunichi ; Elkind, Mitchell S V ; Paik, Myunghee C. / Improving Global Vascular Risk Prediction With Behavioral and Anthropometric Factors. The Multiethnic NOMAS (Northern Manhattan Cohort Study). In: Journal of the American College of Cardiology. 2009 ; Vol. 54, No. 24. pp. 2303-2311.
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AU - Sacco, Ralph L.

AU - Khatri, Minesh

AU - Rundek, Tatjana

AU - Xu, Qiang

AU - Gardener, Hannah

AU - Boden-Albala, Bernadette

AU - Di Tullio, Marco R.

AU - Homma, Shunichi

AU - Elkind, Mitchell S V

AU - Paik, Myunghee C.

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AB - Objectives: This study sought to improve global vascular risk prediction with behavioral and anthropometric factors. Background: Few cardiovascular risk models are designed to predict the global vascular risk of myocardial infarction, stroke, or vascular death in multiethnic individuals, and existing schemes do not fully include behavioral risk factors. Methods: A randomly derived, population-based, prospective cohort of 2,737 community participants free of stroke and coronary artery disease was followed up annually for a median of 9.0 years in the NOMAS (Northern Manhattan Study) (mean age 69 years, 63.2% women, 52.7% Hispanic, 24.9% African American, and 19.9% white). A global vascular risk score (GVRS) predictive of stroke, myocardial infarction, or vascular death was developed by adding variables to the traditional Framingham cardiovascular variables based on the likelihood ratio criteria. Model utility was assessed through receiver-operating characteristics, calibration, and effect on reclassification of subjects. Results: Variables that significantly added to the traditional Framingham profile included waist circumference, alcohol consumption, and physical activity. Continuous measures for blood pressure and fasting blood sugar were used instead of hypertension and diabetes. Ten-year event-free probabilities were 0.95 for the first quartile of GVRS, 0.89 for the second quartile, 0.79 for the third quartile, and 0.56 for the fourth quartile. The addition of behavioral factors in our model improved prediction of 10-year event rates compared with a model restricted to the traditional variables. Conclusions: A GVRS that combines traditional, behavioral, and anthropometric risk factors; uses continuous variables for physiological parameters; and is applicable to nonwhite subjects could improve primary prevention strategies.

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