Aline Milane1, Georges Khazen1, Nabil Zeineddine2, Mazen Amro2, Leila Masri2, Michella Ghassibe-Sabbagh1, Sonia Youhanna1, Angelique K Salloum1, Marc Haber3, Daniel E Platt4, Jean-Baptiste Cazier5, Raed Othman6, Samer Kabbani6, Hana Sbeite6, Youssef Chami1, Elie Chammas2, Hamid El Bayeh1, Dominique Gauguier7, Antoine B Abchee8, Pierre Zalloua9, Antoine Barbari10. 1. Lebanese American University Beirut, Lebanon. 2. School of Medicine, Lebanese University Beirut, Lebanon. 3. The Wellcome Trust Centre for Human Genetics, University of Oxford Oxford, UK. 4. Bioinformatics and Pattern Discovery, IBM T. J. Watson Research Centre New York, NY, USA. 5. Department of Oncology, University of Oxford Roosevelt Drive, Oxford OX3 7DQ, UK. 6. Division of Cardiology, Department of Internal Medicine, Rafik Hariri University Hospital Beirut, Lebanon. 7. INSERM UMRS1138, Cordeliers Research Centre, 15 rue de l'Ecole de Médecine 75006 Paris, France. 8. Division of Cardiology, Department of Internal Medicine, American University of Beirut Beirut, Lebanon. 9. Lebanese American University Beirut, Lebanon ; Harvard School of Public Health Boston, MA 02215, USA. 10. School of Medicine, Lebanese University Beirut, Lebanon ; Division of Nephrology, Department of Internal Medicine, Rafik Hariri University Hospital Beirut, Lebanon.
Abstract
BACKGROUND: More evidence is emerging on the strong association between chronic kidney disease (CKD) and cardiovascular disease. We assessed the relationship between coronary artery disease (CAD) and renal dysfunction level (RDL) in a group of Lebanese patients. METHODS: A total of 1268 patients undergoing cardiac catheterization were sequentially enrolled in a multicenter cross sectional study. Angiograms were reviewed and CAD severity scores (CADSS) were determined. Estimated glomerular filtration rate (eGFR) was calculated and clinical and laboratory data were obtained. CKD was defined as eGFR < 60 ml/min. Logistic regression model was performed using multivariate analysis including all traditional risk factors associated with both diseases. ANOVA and the Tukeytestswere used to compare subgroups of patients and to assess the impact of each disease on the severity of the other. RESULTS: Among the 82% patients who exhibited variable degrees of CAD, 20.6% had an eGFR < 60 ml/min. Logistic regression analysis revealed a bidirectional independent association between CAD and CKD with an OR = 2.01 (P < 0.01) and an OR = 1.99 (P < 0.01) for CAD and CKD frequencies, respectively. We observed a steady increase in the CADSS mean as eGFR declined and a progressive reduction in renal function with the worsening of CAD (P < 0.05). This correlation remained highly significant despite considerable inter-patient variability and was at its highest at the most advanced stages of both diseases. CONCLUSIONS: Our results show a strong, independent and graded bidirectional relationship between CAD severity and RDL. We propose to add CAD to the list of risk factors for the development and progression of CKD.
BACKGROUND: More evidence is emerging on the strong association between chronic kidney disease (CKD) and cardiovascular disease. We assessed the relationship between coronary artery disease (CAD) and renal dysfunction level (RDL) in a group of Lebanese patients. METHODS: A total of 1268 patients undergoing cardiac catheterization were sequentially enrolled in a multicenter cross sectional study. Angiograms were reviewed and CAD severity scores (CADSS) were determined. Estimated glomerular filtration rate (eGFR) was calculated and clinical and laboratory data were obtained. CKD was defined as eGFR < 60 ml/min. Logistic regression model was performed using multivariate analysis including all traditional risk factors associated with both diseases. ANOVA and the Tukeytestswere used to compare subgroups of patients and to assess the impact of each disease on the severity of the other. RESULTS: Among the 82% patients who exhibited variable degrees of CAD, 20.6% had an eGFR < 60 ml/min. Logistic regression analysis revealed a bidirectional independent association between CAD and CKD with an OR = 2.01 (P < 0.01) and an OR = 1.99 (P < 0.01) for CAD and CKD frequencies, respectively. We observed a steady increase in the CADSS mean as eGFR declined and a progressive reduction in renal function with the worsening of CAD (P < 0.05). This correlation remained highly significant despite considerable inter-patient variability and was at its highest at the most advanced stages of both diseases. CONCLUSIONS: Our results show a strong, independent and graded bidirectional relationship between CAD severity and RDL. We propose to add CAD to the list of risk factors for the development and progression of CKD.
Authors: Omar Khalique; Wilbert S Aronow; Chul Ahn; Michael Mazar; Barry Schair; John Shao; Venu Channamsetty Journal: Am J Cardiol Date: 2007-06-13 Impact factor: 2.778
Authors: Guruprasad Manjunath; Hocine Tighiouart; Hassan Ibrahim; Bonnie MacLeod; Deeb N Salem; John L Griffith; Josef Coresh; Andrew S Levey; Mark J Sarnak Journal: J Am Coll Cardiol Date: 2003-01-01 Impact factor: 24.094
Authors: Elizabeth J Brown; Johannes S Schlöndorff; Daniel J Becker; Hiroyasu Tsukaguchi; Stephen J Tonna; Andrea L Uscinski; Henry N Higgs; Joel M Henderson; Martin R Pollak Journal: Nat Genet Date: 2009-12-20 Impact factor: 38.330