#4554 FRAX® ASSOCIATION, BONE DENSITOMETRY, BIOCHEMICAL PARAMETERS OF BONE MINERAL METABOLISM AND ADVANCED CHRONIC KIDNEY DISEASE

Abstract Background and Aims Currently, there are calculation tools that predict the risk of fractures (fx), one which is Fracture Risk Assessment Tool (FRAX®). Patients with advanced chronic kidney disease (CKD) have a higher fx than general population it an independent factor for fx. However, this tool does not consider presence or absence CKD, where alterations in bone mineral metabolism important clinical consequences their prevention should be objective CKD control. The aim our study to evaluate FRAX® patients analyze possible relationships parameters metabolism. Method Observational, descriptive, retrospective series cases center, demographic data, calculation, personal history Diabetes Mellitus, etiology fx, measurement densitometry by dual energy X-ray absorptiometry (DXA), estimated glomerular filtration rate (CKD-EPI), levels serum calcium phosphorus, vitamin D 1. 25 levels, Parathyroid hormone (PTH), fibroblast growth 23 (FGF-23), use phosphorus chelating treatment were collected. Descriptive results continuous variables expressed as mean standard deviation median interquartile range (IQR) according distribution. For categorical frequency percentage reported. To impact on event studied, univariate multivariate Cox regression model was used. Results 59 DXA performed within year analysis analyzed. age 66 years (IQR 22). 59.3% male. 35.6% had diabetes mellitus. most frequent unknown (18.6%), followed vascular (16.9%). History some type fx:13.6% (3.6% vertebral). Estimated CKD-EPI: 20.7 ml/min/1,73 m2 7.5). 16.9% osteoporosis femoral neck 22% spine. decreased 78% spine 59.3%. Low major osteoporotic fracture 76.3% 64.3% (without DXA) elevated 5.1% 8.5% DXA). hip 25.4% 30.5% These data summarized Figure 1 2. In no relationship between DXA. showed negative correlation CKD-EPI (HR -1.7; 95% CI 1.46-9.6 p = 0.027) would suggest association loss renal function mellitus 3.7; 0.009). Conclusion index identifies at high whom active instituted. disease, underestimates those mass osteoporosis. We did find any biochemical could guide us anticipating accelerates mass, so we believe introduction variable necessary equation, especially profile patients.