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pubmed-article:19907337pubmed:abstractTextTo investigate the ability of multiple cardiovascular disease (CVD) markers to predict future health care costs. CVD markers included traditional risk factors (smoking status, body mass index, waist circumference, alcohol intake, diabetes, total : high-density lipoprotein cholesterol ratio, actual hypertension, physical activity) and newer markers (carotid intima-media thickness, hemoglobin A1c, apolipoprotein B : apolipoprotein A-1 ratio, lipoprotein (a), leukocyte count, high-sensitive C-reactive protein, plasma fibrinogen, estimated glomerular filtration rate, urinary albumin : creatinine ratio).lld:pubmed
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pubmed-article:19907337pubmed:articleTitlePredictive modeling of health care costs: do cardiovascular risk markers improve prediction?lld:pubmed
pubmed-article:19907337pubmed:affiliationHelmhotz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Ingolstaedter Landstrasse, Neuherberg, Germany. sebastian.baumeister@uni-greifswald.delld:pubmed
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