Cotinine as a marker for risk prediction in the Ludwigshafen Risk and Cardiovascular Health Study

• Verfasst von: Delgado Gonzales de Kleber, Graciela [VerfasserIn]
• Verfasst von: Krämer, Bernhard [VerfasserIn]
• Verfasst von: März, Winfried [VerfasserIn]
• Verfasst von: Kleber, Marcus E. [VerfasserIn]
• Titel: Cotinine as a marker for risk prediction in the Ludwigshafen Risk and Cardiovascular Health Study
• Verf.angabe: Graciela Delgado, Rüdiger Siekmeier, Bernhard K. Krämer, Winfried März, Marcus E. Kleber
• E-Jahr: 2015
• Jahr: April 2015
• Umfang: 6 S.
• Fussnoten: Gesehen am 25.01.2018
• Titel Quelle: Enthalten in: Respiratory physiology & neurobiology
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 2002
• Jahr Quelle: 2015
• Band/Heft Quelle: 209(2015), Seite 17-22
• ISSN Quelle: 1878-1519
• DOI: doi:10.1016/j.resp.2014.10.008
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Nicotine
• Sach-SW: Mortality
• Sach-SW: Cotinine
• Sach-SW: Smoking
• K10plus-PPN: 156760952X

Abstract

Background: Cotinine is one of the major metabolites of nicotine. The aim our study was to investigate cotinine as a marker for individual risk prediction in the Ludwigshafen Risk and Cardiovascular Health study. Methods: 840 samples had detectable cotinine measured using a radioimmunoassay (RIA nicotine metabolite, DPC Biermann GmbH). The distribution of risk factors across quartiles of cotinine or pack-years was analyzed by ANOVA and the association of cotinine and pack-years with mortality by Cox regression. Results: Cotinine and pack-years both showed significant association with mortality in adjusted models with HRs (95% CI) of 1.30 (1.17-1.44) and 1.26 (1.13-1.42) comparing the third to the first tertile for cotinine and pack-years, respectively. Either cotinine or pack-years or self-reported smoking increased the area-under-the-curve significantly as compared to a basic model including other risk factors. Discussion: Cotinine is a strong predictor of mortality in non-smokers as well as in smokers. As objectively measurable parameter cotinine would be preferable for risk prediction.