Renal function predicts cardiovascular outcomes in southern Italian postmenopausal women

• Published in: European journal of cardiovascular prevention and rehabilitation 2009-08, Vol.16 (4), p.481-486
• Main Authors: Perticone, Francesco, Sciacqua, Angela, Maio, Raffaele, Perticone, Maria, Laino, Irma, Bruni, Rosamaria, Cello, Serena Di, Leone, Giulia Galiano, Greco, Laura, Andreozzi, Francesco, Sesti, Giorgio
• Format: Article
• Language: English
• Subjects: Aged; Cardiovascular Diseases - epidemiology; Cardiovascular Diseases - etiology; Cardiovascular Diseases - physiopathology; Chi-Square Distribution; Female; Glomerular Filtration Rate - physiology; Humans; Italy - epidemiology; Kidney Failure, Chronic - complications; Kidney Failure, Chronic - epidemiology; Kidney Failure, Chronic - physiopathology; Kidney Function Tests; Middle Aged; Postmenopause; Predictive Value of Tests; Prevalence; Proportional Hazards Models; Risk Factors
• ISSN: 2047-4873; 1741-8267; 2047-4881; 1741-8275
• DOI: 10.1097/HJR.0b013e32832b8d87

Background Postmenopausal women have an increased risk of adverse cardiovascular (CV) events. Similarly, chronic kidney disease (CKD) is a well established risk factor for CV disease and mortality. Design We evaluated the effect of renal function on the risk of death and CV events in 1500 southern Italian postmenopausal women. Methods and results Renal function was estimated (e) by glomerular filtration rate (e-GFR) by Modification of Diet in Renal Disease equation. We classified postmenopausal women in two groups of e-GFR (ml/min per 1.73 m2): ≥ 60 (group 1) and less than 60 (group 2). The primary endpoint was major adverse CV events (MACE). The secondary endpoints were total events (MACE + death from any cause), coronary events, and stroke. During the follow-up (mean = 72.6 months), there were 200 new CV morbid events. The rate of MACE (per 100 patient-years) was 1.88 and 2.98 in the two groups of e-GFR (P < 0.0001). On univariate analysis, the incident risk of CV events was inversely related with the e-GFR values; similarly, in multiple Cox regression model, only the e-GFR maintained an independent association with MACE and secondary end-points. Conclusion For the first time, we demonstrated that the reduction of e-GFR was associated with the increased risk of death and CV events, independently of traditional CV risk factors, menopause duration, and presence of metabolic syndrome.