首页 | 本学科首页   官方微博 | 高级检索  
检索        


Risk Factors for Fractures Identified in the Algorithm Developed in 5-Year Follow-Up of Postmenopausal Women From RAC-OST-POL Study
Authors:P Adamczyk  A Werner  M Bach  J Żywiec  A Czekajło  W Grzeszczak  B Drozdzowska  W Pluskiewicz
Abstract:The aim of the study was to establish factors with an impact on fracture risk and to develop an algorithm to predict osteoporotic fracture. A total of 978 postmenopausal women from the epidemiological, population-based RAC-OST-POL study with a mean age of 65.7?±?7.3 years were enrolled. At baseline, bone mineral density at hip and clinical risk factors for fracture were collected. Afterward, each person was asked annually on fracture incidence in the 5-year follow-up. Finally, data for complete 5-year observation were gathered for the group of 802 patients. During the follow-up, 92 osteoporotic fractures occurred in 78 women. The most common fracture site was the forearm (n?=?45). The following baseline factors were found as significant for fracture incidence: femoral neck bone mineral density, prior fractures, steroid use, falls within previous 12 months, and height. Fracture risk was predicted by the following formula: Riskoffractureincidence=11+e?(?9.899+1.0771STEROIDS+0.6811PRIORFALLS+0.6111PRIORFRACTURES?0.4831FNTscore+0.0421HEIGHT). In our current longitudinal study, an algorithm predicting fracture occurrence over a period of 5 years was developed. It may find application in daily medical practice.
Keywords:Bayesian Model Averaging  follow-up  fracture risk  logistic regression  postmenopausal women
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号