BACKGROUND: Bone mass measurements are widely used to diagnose osteoporosis and identify patients at risk for fractures. Recent studies have shown that reduced bone mass is also predictive of all-cause and cardiovascular mortality in healthy postmenopausal women. Among chronic hemodialysis patients reduced bone mass resulting from the combined effects of age-related factors and renal osteodystrophy has been associated with vascular calcification. In this prospective study, we investigated the ability of bone mass measurements to predict mortality in chronic hemodialysis patients. METHODS: Eighty eight patients underwent hip bone mass measurements by dual energy x-ray absorptiometry (DEXA) and were followed up for a mean of 3.5 years. Eleven patients received renal transplants and were therefore excluded. Forty of the remaining patients died, predominantly due to cardiovascular causes (43%). RESULT: Cox regression analysis showed patient age, osteoporosis or osteopenia, and baseline average calcium x phosphate product (Ca x P) to be independently predictive of increased mortality. Patients with osteopenia or osteoporosis had a 3.3- and 4.3-fold increased risk of death, respectively. A Ca x P of >or=5.0 mmol2/L2 predicted a threefold increased risk of death. Previous renal transplantation predicted a lower mortality. CONCLUSIONS: This study has shown for the first time that reduced total hip bone mass is an independent predictor of all-cause mortality among chronic hemodialysis patients. Our findings suggest that reduced bone mass and elevated Ca x P may be involved in the pathogenesis of cardiovascular disease in these patients but further research is required to investigate the possible mechanisms for these associations.
BACKGROUND: Bone mass measurements are widely used to diagnose osteoporosis and identify patients at risk for fractures. Recent studies have shown that reduced bone mass is also predictive of all-cause and cardiovascular mortality in healthy postmenopausal women. Among chronic hemodialysis patients reduced bone mass resulting from the combined effects of age-related factors and renal osteodystrophy has been associated with vascular calcification. In this prospective study, we investigated the ability of bone mass measurements to predict mortality in chronic hemodialysis patients. METHODS: Eighty eight patients underwent hip bone mass measurements by dual energy x-ray absorptiometry (DEXA) and were followed up for a mean of 3.5 years. Eleven patients received renal transplants and were therefore excluded. Forty of the remaining patients died, predominantly due to cardiovascular causes (43%). RESULT: Cox regression analysis showed patient age, osteoporosis or osteopenia, and baseline average calcium x phosphate product (Ca x P) to be independently predictive of increased mortality. Patients with osteopenia or osteoporosis had a 3.3- and 4.3-fold increased risk of death, respectively. A Ca x P of >or=5.0 mmol2/L2 predicted a threefold increased risk of death. Previous renal transplantation predicted a lower mortality. CONCLUSIONS: This study has shown for the first time that reduced total hip bone mass is an independent predictor of all-cause mortality among chronic hemodialysis patients. Our findings suggest that reduced bone mass and elevated Ca x P may be involved in the pathogenesis of cardiovascular disease in these patients but further research is required to investigate the possible mechanisms for these associations.
Authors: Jong Chan Park; Csaba P Kovesdy; Uyen Duong; Elani Streja; Mehdi Rambod; Allen R Nissenson; Stuart M Sprague; Kamyar Kalantar-Zadeh Journal: Hemodial Int Date: 2010-03-24 Impact factor: 1.812
Authors: Vincent M Brandenburg; Markus Ketteler; Nicole Heussen; Dirk Politt; Rolf D Frank; Ralf Westenfeld; Thomas H Ittel; Jürgen Floege Journal: Osteoporos Int Date: 2005-07-06 Impact factor: 4.507
Authors: Ken Iseri; Abdul Rashid Qureshi; Jonaz Ripsweden; Olof Heimbürger; Peter Barany; Ingrid B Bergström; Peter Stenvinkel; Torkel B Brismar; Bengt Lindholm Journal: J Bone Miner Metab Date: 2020-09-04 Impact factor: 2.626
Authors: L Desjardins; S Liabeuf; C Renard; A Lenglet; H-D Lemke; G Choukroun; T B Drueke; Z A Massy Journal: Osteoporos Int Date: 2011-11-23 Impact factor: 4.507