Literature DB >> 16297996

The relationship between inflammation and arterial stiffness in patients with essential hypertension.

Priit Kampus1, Piibe Muda, Jaak Kals, Tiina Ristimäe, Krista Fischer, Rein Teesalu, Mihkel Zilmer.   

Abstract

BACKGROUND: Data about the correlation between augmentation index (AIx), timing of the reflected waveform (T(r)) and inflammatory markers in patients with essential hypertension are not yet well established. The aim of this study was to compare plasma high-sensitivity C-reactive protein (hsCRP), white blood cell count and fibrinogen in hypertensive patients and in normotensive controls and to assess the relationship between inflammatory markers and arterial stiffness.
METHODS: Forty-two healthy middle-aged patients with untreated stage I-II essential hypertension and 42 sex- and age-matched controls were recruited in the study. Pulse wave analysis was used to assess AIx and T(r).
RESULTS: Plasma hsCRP, white blood cell count, AIx and T(r) were significantly higher in the patients with essential hypertension. In multiple regression analysis, AIx correlated positively with age, female gender, mean arterial pressure and log(hsCRP), and negatively with heart rate and height (R(2)=0.75, p<0.001). T(r) correlated negatively with log(hsCRP) (r=-0.34, p=0.002) for the whole study group. However, after adjusting for mean arterial pressure, age, height, heart rate and sex to the regression model, no correlation was revealed between log(hsCRP) and T(r) (p=0.35) as the dependent variable (R(2)=0.48, p<0.001).
CONCLUSIONS: Untreated hypertensive patients with low or moderate total cardiovascular risk had significantly increased blood hsCRP and white blood cell count and arterial stiffness, expressed as AIx and T(r). AIx correlated independently with hsCRP in multiple regression analysis. Measurement of arterial stiffness and inflammation can be suggested as an additional tool to assess cardiovascular risk in hypertensive patients with low or moderate total cardiovascular risk as estimated by traditional risk factors.

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Year:  2005        PMID: 16297996     DOI: 10.1016/j.ijcard.2005.08.026

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


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