000			nab a22 7a 4500
999			_c18009 _d18009
003			PC18009
005			20250701121833.0
008			250701b xxu||||| |||| 00| 0 eng d
040			_cH12O
041			_aeng
100			_91486 _aSegura de la Morena, Julián _eNefrología
100			_9539 _aRuilope Urioste, Luis Miguel _eNefrología
245	0	0	_aModification over time of pulse wave velocity parallel to changes in aortic BP, as well as in 24-h ambulatory brachial BP. _h[artículo]
260			_bJournal of human hypertension, _c2016
300			_a30(3):186-90.
500			_aFormato Vancouver: Oliveras A, Segura J, Suárez C, García Ortiz L, Abad Cardiel M, Vigil L et al; PRESCEN Study. Modification over time of pulse wave velocity parallel to changes in aortic BP, as well as in 24-h ambulatory brachial BP. J Hum Hypertens. 2016 Mar;30(3):186-90.
501			_aPMID: 26108366
504			_aContiene 33 referencias
520			_aArterial stiffness as assessed by carotid-femoral pulse wave velocity (cfPWV) is a marker of preclinical organ damage and a predictor of cardiovascular outcomes, independently of blood pressure (BP). However, limited evidence exists on the association between long-term variation (Δ) on aortic BP (aoBP) and ΔcfPWV. We aimed to evaluate the relationship of ΔBP with ΔcfPWV over time, as assessed by office and 24-h ambulatory peripheral BP, and aoBP. AoBP and cfPWV were evaluated in 209 hypertensive patients with either diabetes or metabolic syndrome by applanation tonometry (Sphygmocor) at baseline(b) and at 12 months of follow-up(fu). Peripheral BP was also determined by using validated oscillometric devices (office(o)-BP) and on an outpatient basis by using a validated (Spacelabs-90207) device (24-h ambulatory BP). ΔcfPWV over time was calculated as follows: ΔcfPWV=[(cfPWVfu-cfPWVb)/cfPWVb] × 100. ΔBP over time resulted from the same formula applied to BP values obtained with the three different measurement techniques. Correlations (Spearman 'Rho') between ΔBP and ΔcfPWV were calculated. Mean age was 62 years, 39% were female and 80% had type 2 diabetes. Baseline office brachial BP (mm Hg) was 143±20/82±12. Follow-up (12 months later) office brachial BP (mm Hg) was 136±20/79±12. ΔcfPWV correlated with ΔoSBP (Rho=0.212; P=0.002), Δ24-h SBP (Rho=0.254; P<0.001), Δdaytime SBP (Rho=0.232; P=0.001), Δnighttime SBP (Rho=0.320; P<0.001) and ΔaoSBP (Rho=0.320; P<0.001). A multiple linear regression analysis included the following independent variables: ΔoSBP, Δ24-h SBP, Δdaytime SBP, Δnighttime SBP and ΔaoSBP. ΔcfPWV was independently associated with Δ24-h SBP (β-coefficient=0.195; P=0.012) and ΔaoSBP (β-coefficient= 0.185; P=0.018). We conclude that changes in both 24-h SBP and aoSBP more accurately reflect changes in arterial stiffness than do office BP measurements.
710			_986 _aServicio de Nefrología
856			_uhttp://pc-h12o-es.m-hdoct.a17.csinet.es/pdf/pc/1/pc18009.pdf _ySolicitar documento
942			_2ddc _cART _n0