| Literature DB >> 25691284 |
Toshihide Hayashi1, Nobuhiko Joki2, Yuri Tanaka3, Masaki Iwasaki3, Shun Kubo3, Takasuke Asakawa3, Ai Matsukane3, Yasunori Takahashi3, Yoshihiko Imamura4, Koichi Hirahata5, Hiroki Hase3.
Abstract
The World Health Organization Fracture Risk Assessment Tool (FRAX(®)) was recently developed to estimate the 10-year absolute risk of osteoporotic fracture among the general population. However, the evidence for its use in chronic kidney disease patients has been lacking, and the association between the FRAX(®) and mortality is unknown. Therefore, a hospital-based, prospective, cohort study was conducted to evaluate the predictive ability of the FRAX(®) for mortality in hemodialysis patients. A total of 252 patients who had been started on maintenance hemodialysis, 171 men and 81 women, with a mean age of 67 ± 14 years, was studied. The endpoint was defined as all-cause death. The Cox proportional hazards model was used to calculate hazard ratios and 95 % confidence intervals. During the mean follow-up period of 3.4 ± 2.7 years, 61 deaths occurred. The median (interquartile range) of the FRAX(®) for major osteoporotic fracture was 6.9 (4.6-12.0) % in men and 19.0 (7.6-33.0) % in women. Cumulative survival rates at 5 years after starting dialysis, with the FRAX(®) levels above and below the median, were 51.9 and 87.9 %, respectively, in men and 67.4 and 83.7 %, respectively, in women. Overall, in men, the multivariate Cox regression analyses revealed that the log-transformed FRAX(®) remained an independent predictor of death after adjusting by confounding variables. However, in women, the significant association between the FRAX(®) value and the outcome was eliminated if age was put into these models. Among Japanese hemodialysis patients, the FRAX(®) seems to be useful for predicting death, especially in men.Entities:
Keywords: CKD; FRAX; Hemodialysis; Mortality
Mesh:
Year: 2015 PMID: 25691284 DOI: 10.1007/s00774-014-0631-5
Source DB: PubMed Journal: J Bone Miner Metab ISSN: 0914-8779 Impact factor: 2.626