MMP-2 and sTNF-R1 Variability in Patients with Essential Hypertension: 1-Year Follow-Up Study
Author(s) -
Núria Carpena,
Esther RosellóLletí,
J. R. Calabuig,
Estefanía Tarazón,
José Ramón González–Juanatey,
Luis MartínezDolz,
Antonio Salvador,
Lilian Grigorian,
Plácido Orosa,
Manuel Portolés,
Miguel Rivera
Publication year - 2012
Publication title -
isrn cardiology
Language(s) - English
Resource type - Journals
eISSN - 2090-5599
pISSN - 2090-5580
DOI - 10.5402/2012/501894
Subject(s) - algorithm , reproducibility , correlation coefficient , medicine , artificial intelligence , mathematics , machine learning , computer science , statistics
The aim of this study is to analyze MMP-2 and sTNF-R1 variability, potent predictors of cardiovascular events, in stable hypertensive patients during a 12-month followup. 234 asymptomatic patients (age 60 ± 13, 136 male) out of 252 patients with essential hypertension were followed up. MMP-2 and sTNF-R1 were measured at baseline and after 12 months (stage I). To compare MMP-2 and sTNF-R1 levels over time interval, we used the statistical method of Bland-Altman. MMP-2 and sTNF-R1 reproducibility was good in our patients for the two intervals with a coefficient of reproducibility of 8.2% and 11.3%, respectively. The percentages of patients within 1.96 × standard deviation of the mean were 93.6% and 92.7%. An elevated coefficient of correlation was obtained for MMP-2, basal versus stage I ( r = 0.55, P < 0.0001) and for sTNF-R1 ( r = 0.75, P < 0.0001). There is good stability in MMP-2 and sTNF-R1 levels in a followup study of patients with stable hypertension. As a consequence, assessment of its concentrations may be a useful tool for monitoring the follow-up of these patients. Measured variations in MMP-2 and sTNF-R1 levels, exceeding 8.2% and 11.3%, respectively, may indicate an increase in cardiovascular risk, thus, could be used to optimizing treatment than blood pressure control alone.
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