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Angiographic CT of Renal bone and vascular disease

Project: Research

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ACTOR – Angiographic CT of Renal bone and vascular disease
H.S. Jørgensen1, S. Winther2, L. Rejnmark3, M. Svensson1, E.M. Hauge4, P.R. Ivarsen1
1Dep. of Nephrology, AUH, 2Dep. of Cardiology, AUH, 3Dep. of Endocrinology, AUH, 4Dep. of Rheumatology, AUH
Chronic kidney disease (CKD) is associated with a 2-4 fold increase risk of fracture, due to loss of both bone quantity and bone quality. There is currently no consensus on how to identify patients at risk. Bone mineral density (BMD) by dual X-ray absorptiometry (DXA), is not recommended in late stages of CKD, as the association with fractures is weak. Computed tomography (CT) provides three-dimensional images of high resolution, and can provide a volumetric BMD (vBMD) separate for cortical and cancellous bone. This may be a more accurate measurement of BMD, and may correlate better with fractures in CKD.
Goal: To determine vBMD of spine and hip from clinical CT-scans, and investigate the relationship of vBMD with fracture-status and disturbances of several endocrine axes, in patients with CKD.
Methods: A prospective, longitudinal study of 150 patients with late stage CKD, to be examined by angiographic CT-scan at baseline and 3 year follow-up. Fracture-status will be determined by previous clinical fracture or prevalent vertebral fracture. Aims are: 1) To investigate the ability of vBMD in discriminating fracture-status 2) To correlate vBMD with disturbances of calcium-phosphate-metabolism, the sex-hormone-axis and the insulin-like-growth-hormone I-system.
Discussion: Establishing a method of vBMD-measurements from clinical CT-scans will enable a continuous collection of information on bone quantity, from a wide range of diagnostic procedures, with no extra burden of radiation. This method may form the basis of future intervention-studies. Ultimately, we hope our research may contribute to reducing the burden of disease due to fractures among patients with CKD.
Effective start/end date01/02/201131/07/2016

Research outputs

ID: 128990905