BACKGROUND:N-terminal pro-brain natriuretic peptide (Nt-proBNP) and high-sensitivity C-reactive protein (hsCRP) are cardiovascular risk markers in various populations, but are not well examined in hypertension. Therefore, we wanted to investigate whether high Nt-proBNP or hsCRP predicted the composite endpoint of cardiovascular death, non-fatal stroke or non-fatal myocardial infarction independently of traditional cardiovascular risk factors and the urine albumin: creatinine ratio (UACR), which is a well established cardiovascular risk factor in hypertension. METHODS: In 945 hypertensive patients from the LIFE study with electrocardiographic left ventricular (LV) hypertrophy, we measured traditional cardiovascular risk factors including electrocardiography, morning UACR, hsCRP by immunoturbidimetry assay and Nt-proBNP by immunoassay after 2 weeks of placebo treatment. During 55 months' follow-up 80 patients suffered a composite endpoint. RESULTS: HsCRP as well as Nt-proBNP above the median values of 3.0 mg/l and 170 pg/ml, respectively, was associated with a higher incidence of composite endpoint (13.1 versus 3.8%, P < 0.01, and 11.5 versus 5.4%, P < 0.01). In Cox regression analyses, standardized log(hsCRP)/SD predicted a composite endpoint [hazard ratio (HR) 1.3 per SD = 0.47 log(mg/l), P < 0.05] after adjustment for traditional cardiovascular risk factors, but not after further adjustment for UACR. Standardized log(Nt-proBNP)/SD predicted a composite endpoint after adjustment for traditional cardiovascular risk factors [HR 1.9 per SD = 0.49 log(pg/ml), P < 0.05] as well as after further adjustment for UACR [HR 1.5 per SD = 0.49 log(pg/ml), P < 0.01]. Log(Nt-proBNP) added significantly to the Cox regression models using traditional cardiovascular risk factors with and without UACR (both P < 0.001). CONCLUSION: Nt-proBNP predicted a composite endpoint after adjustment for traditional risk factors, UACR and a history of diabetes or cardiovascular disease and added significantly to the prediction of composite endpoint, whereas hsCRP did not.
RCT Entities:
BACKGROUND: N-terminal pro-brain natriuretic peptide (Nt-proBNP) and high-sensitivity C-reactive protein (hsCRP) are cardiovascular risk markers in various populations, but are not well examined in hypertension. Therefore, we wanted to investigate whether high Nt-proBNP or hsCRP predicted the composite endpoint of cardiovascular death, non-fatal stroke or non-fatal myocardial infarction independently of traditional cardiovascular risk factors and the urine albumin: creatinine ratio (UACR), which is a well established cardiovascular risk factor in hypertension. METHODS: In 945 hypertensivepatients from the LIFE study with electrocardiographic left ventricular (LV) hypertrophy, we measured traditional cardiovascular risk factors including electrocardiography, morning UACR, hsCRP by immunoturbidimetry assay and Nt-proBNP by immunoassay after 2 weeks of placebo treatment. During 55 months' follow-up 80 patients suffered a composite endpoint. RESULTS: HsCRP as well as Nt-proBNP above the median values of 3.0 mg/l and 170 pg/ml, respectively, was associated with a higher incidence of composite endpoint (13.1 versus 3.8%, P < 0.01, and 11.5 versus 5.4%, P < 0.01). In Cox regression analyses, standardized log(hsCRP)/SD predicted a composite endpoint [hazard ratio (HR) 1.3 per SD = 0.47 log(mg/l), P < 0.05] after adjustment for traditional cardiovascular risk factors, but not after further adjustment for UACR. Standardized log(Nt-proBNP)/SD predicted a composite endpoint after adjustment for traditional cardiovascular risk factors [HR 1.9 per SD = 0.49 log(pg/ml), P < 0.05] as well as after further adjustment for UACR [HR 1.5 per SD = 0.49 log(pg/ml), P < 0.01]. Log(Nt-proBNP) added significantly to the Cox regression models using traditional cardiovascular risk factors with and without UACR (both P < 0.001). CONCLUSION: Nt-proBNP predicted a composite endpoint after adjustment for traditional risk factors, UACR and a history of diabetes or cardiovascular disease and added significantly to the prediction of composite endpoint, whereas hsCRP did not.
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Authors: Peter Willeit; Stephen Kaptoge; Paul Welsh; Adam Butterworth; Rajiv Chowdhury; Sarah Spackman; Lisa Pennells; Pei Gao; Stephen Burgess; Daniel Freitag; Michael Sweeting; Angela Wood; Nancy Cook; Suzanne Judd; Stella Trompet; Vijay Nambi; Michael Olsen; Brendan Everett; Frank Kee; Johan Ärnlöv; Veikko Salomaa; Daniel Levy; Jussi Kauhanen; Jari Laukkanen; Maryam Kavousi; Toshiharu Ninomiya; Juan-Pablo Casas; Lori Daniels; Lars Lind; Caroline Kistorp; Jens Rosenberg; Thomas Mueller; Speranza Rubattu; Demosthenes Panagiotakos; Oscar Franco; James de Lemos; Andreas Luchner; Jorge Kizer; Stefan Kiechl; Jukka Salonen; S Goya Wannamethee; Rudolf de Boer; Børge Nordestgaard; Jonas Andersson; Torben Jørgensen; Olle Melander; Christie Ballantyne; Christopher DeFilippi; Paul Ridker; Mary Cushman; Wayne Rosamond; Simon Thompson; Vilmundur Gudnason; Naveed Sattar; John Danesh; Emanuele Di Angelantonio Journal: Lancet Diabetes Endocrinol Date: 2016-09-03 Impact factor: 44.867