OBJECTIVE: Aortic stiffness and chronic kidney disease share common risk factors. Increased aortic stiffness is a predictor of lower estimated glomerular filtration rate (eGFR) at lower levels of renal functions. We aimed to investigate the association between invasively measured central aortic pulsatility (AP) as an indicator of aortic stiffness and eGFR in a population with coronary artery disease and without overt renal disease. METHODS: This study had a cross-sectional design. Data were retrospectively collected. We evaluated 72 patients (44 males and 28 females; mean age 59.0±10.3 years) with coronary artery disease. eGFR was calculated with dividing the Cockcroft-Gault formula by body surface area. Direct measurements of aortic blood pressures were utilized to calculate pulse pressure and AP. Multiple linear regression analysis was performed to test the relationship between eGFR and AP, independent from potential confounders. RESULTS: eGFR was significantly correlated with age (r=0.489, p<0.001), body surface area (r=0.324, p=0.006), weight (r=0.323, p=0.006), aortic pulse pressure (r=-0.371, p=0.001), and AP (r=-0.469, p<0.001). In multiple linear regression analysis, AP was independently associated with eGFR (p=0.035), beside the age and body surface area. An AP cut-off level of >0.71 had 84% sensitivity and 72% specificity in predicting eGFR of <90 mL/min per 1.72 m2 (receiver-operating characteristic area under curve: 0.851, 95% CI: 0.760-0.942, p<0.001). CONCLUSION: We found an independent relationship between invasively measured AP and eGFR in patients with coronary artery disease. Moreover, a higher AP may predict lower eGFR. These results may be utilized to predict eGFR from AP during invasive procedures.
OBJECTIVE:Aortic stiffness and chronic kidney disease share common risk factors. Increased aortic stiffness is a predictor of lower estimated glomerular filtration rate (eGFR) at lower levels of renal functions. We aimed to investigate the association between invasively measured central aortic pulsatility (AP) as an indicator of aortic stiffness and eGFR in a population with coronary artery disease and without overt renal disease. METHODS: This study had a cross-sectional design. Data were retrospectively collected. We evaluated 72 patients (44 males and 28 females; mean age 59.0±10.3 years) with coronary artery disease. eGFR was calculated with dividing the Cockcroft-Gault formula by body surface area. Direct measurements of aortic blood pressures were utilized to calculate pulse pressure and AP. Multiple linear regression analysis was performed to test the relationship between eGFR and AP, independent from potential confounders. RESULTS: eGFR was significantly correlated with age (r=0.489, p<0.001), body surface area (r=0.324, p=0.006), weight (r=0.323, p=0.006), aortic pulse pressure (r=-0.371, p=0.001), and AP (r=-0.469, p<0.001). In multiple linear regression analysis, AP was independently associated with eGFR (p=0.035), beside the age and body surface area. An AP cut-off level of >0.71 had 84% sensitivity and 72% specificity in predicting eGFR of <90 mL/min per 1.72 m2 (receiver-operating characteristic area under curve: 0.851, 95% CI: 0.760-0.942, p<0.001). CONCLUSION: We found an independent relationship between invasively measured AP and eGFR in patients with coronary artery disease. Moreover, a higher AP may predict lower eGFR. These results may be utilized to predict eGFR from AP during invasive procedures.
Authors: Carmel M McEniery; Ian R Hall; Ahmad Qasem; Ian B Wilkinson; John R Cockcroft Journal: J Am Coll Cardiol Date: 2005-10-10 Impact factor: 24.094
Authors: Elisabet Zamora; Josep Lupón; Joan Vila; Agustín Urrutia; Marta de Antonio; Hèctor Sanz; Maria Grau; Jordi Ara; Antoni Bayés-Genís Journal: J Am Coll Cardiol Date: 2012-05-08 Impact factor: 24.094
Authors: Giuseppe Mancia; Robert Fagard; Krzysztof Narkiewicz; Josep Redon; Alberto Zanchetti; Michael Böhm; Thierry Christiaens; Renata Cifkova; Guy De Backer; Anna Dominiczak; Maurizio Galderisi; Diederick E Grobbee; Tiny Jaarsma; Paulus Kirchhof; Sverre E Kjeldsen; Stéphane Laurent; Athanasios J Manolis; Peter M Nilsson; Luis Miguel Ruilope; Roland E Schmieder; Per Anton Sirnes; Peter Sleight; Margus Viigimaa; Bernard Waeber; Faiez Zannad; Josep Redon; Anna Dominiczak; Krzysztof Narkiewicz; Peter M Nilsson; Michel Burnier; Margus Viigimaa; Ettore Ambrosioni; Mark Caufield; Antonio Coca; Michael Hecht Olsen; Roland E Schmieder; Costas Tsioufis; Philippe van de Borne; Jose Luis Zamorano; Stephan Achenbach; Helmut Baumgartner; Jeroen J Bax; Héctor Bueno; Veronica Dean; Christi Deaton; Cetin Erol; Robert Fagard; Roberto Ferrari; David Hasdai; Arno W Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Patrizio Lancellotti; Ales Linhart; Petros Nihoyannopoulos; Massimo F Piepoli; Piotr Ponikowski; Per Anton Sirnes; Juan Luis Tamargo; Michal Tendera; Adam Torbicki; William Wijns; Stephan Windecker; Denis L Clement; Antonio Coca; Thierry C Gillebert; Michal Tendera; Enrico Agabiti Rosei; Ettore Ambrosioni; Stefan D Anker; Johann Bauersachs; Jana Brguljan Hitij; Mark Caulfield; Marc De Buyzere; Sabina De Geest; Geneviève Anne Derumeaux; Serap Erdine; Csaba Farsang; Christian Funck-Brentano; Vjekoslav Gerc; Giuseppe Germano; Stephan Gielen; Herman Haller; Arno W Hoes; Jens Jordan; Thomas Kahan; Michel Komajda; Dragan Lovic; Heiko Mahrholdt; Michael Hecht Olsen; Jan Ostergren; Gianfranco Parati; Joep Perk; Jorge Polonia; Bogdan A Popescu; Zeljko Reiner; Lars Rydén; Yuriy Sirenko; Alice Stanton; Harry Struijker-Boudier; Costas Tsioufis; Philippe van de Borne; Charalambos Vlachopoulos; Massimo Volpe; David A Wood Journal: Eur Heart J Date: 2013-06-14 Impact factor: 29.983
Authors: Cláudia Alves; José Felippe Pinho; Luzia Maria Dos Santos; Giselle Magalhães; Júnia Maria da Silva; Fernanda Luiza Fontes; Sordaini Maria Caligiorne; Sérgio Pinheiro; Maria Glória Rodrigues-Machado Journal: Pediatr Nephrol Date: 2019-12-16 Impact factor: 3.714