Wolinsky Fredric D, Bentler Suzanne E, Liu Li, Obrizan Maksym, Cook Elizabeth A, Wright Kara B, Geweke John F, Chrischilles Elizabeth A, Pavlik Claire E, Ohsfeldt Robert L, Jones Michael P, Richardson Kelly K, Rosenthal Gary E, Wallace Robert B
University of Iowa, 200 Hawkins Drive, E-205 General Hospital, Iowa City, IA 52242, USA.
J Gerontol A Biol Sci Med Sci. 2009 Feb;64(2):249-55. doi: 10.1093/gerona/gln027. Epub 2009 Feb 4.
We identified hip fracture risks in a prospective national study.
Baseline (1993-1994) interview data were linked to Medicare claims for 1993-2005. Participants were 5,511 self-respondents aged 70 years and older and not in managed Medicare. ICD9-CM 820.xx (International Classification of Diseases, 9th Edition, Clinical Modification) codes identified hip fracture. Participants were censored at death or enrollment into managed Medicare. Static risk factors included sociodemographic, socioeconomic, place of residence, health behavior, disease history, and functional and cognitive status measures. A time-dependent marker reflecting postbaseline hospitalizations was included.
A total of 495 (8.9%) participants suffered a postbaseline hip fracture. In the static proportional hazards model, the greatest risks involved age (adjusted hazard ratios [AHRs] of 2.01, 2.82, and 4.91 for 75-79, 80-84, and > or =85 year age groups vs those aged 70-74 years; p values <.001), sex (AHR = 0.45 for men vs women; p < .001), race (AHRs of 0.37 and 0.46 for African Americans and Hispanics vs whites; p values <.001 and <.01), body mass (AHRs of 0.40, 0.77, and 1.73 for obese, overweight, and underweight vs normal weight; p values <.001, <.05, and <.01), smoking status (AHRs = 1.49 and 1.52 for current and former smokers vs nonsmokers; p values <.05 and <.001), and diabetes (AHR = 1.99; p < .001). The time-dependent recent hospitalization marker did not alter the static model effect estimates, but it did substantially increase the risk of hip fracture (AHR = 2.51; p < .001).
Enhanced discharge planning and home care for non-hip fracture hospitalizations could reduce subsequent hip fracture rates.
我们在一项全国性前瞻性研究中确定了髋部骨折风险。
将基线(1993 - 1994年)访谈数据与1993 - 2005年医疗保险索赔数据相链接。参与者为5511名年龄在70岁及以上且未参加管理式医疗保险的自我受访者。使用国际疾病分类第九版临床修订本(ICD9 - CM)820.xx编码来确定髋部骨折。参与者在死亡或加入管理式医疗保险时被截尾。静态风险因素包括社会人口统计学、社会经济状况、居住地点、健康行为、疾病史以及功能和认知状态指标。纳入了一个反映基线后住院情况的时间依赖性标志物。
共有495名(8.9%)参与者在基线后发生了髋部骨折。在静态比例风险模型中,最大的风险因素包括年龄(75 - 79岁、80 - 84岁以及≥85岁年龄组与70 - 74岁年龄组相比,调整后风险比[AHRs]分别为2.01、2.82和4.91;p值<.001)、性别(男性与女性相比,AHR = 0.45;p <.001)、种族(非裔美国人和西班牙裔与白人相比,AHRs分别为0.37和0.46;p值<.001和<.01)、体重(肥胖、超重和体重过轻与正常体重相比,AHRs分别为0.40、0.77和1.73;p值<.001、<.05和<.01)、吸烟状况(当前吸烟者和既往吸烟者与不吸烟者相比,AHRs分别为1.49和1.52;p值<.05和<.001)以及糖尿病(AHR = 1.99;p <.001))。时间依赖性近期住院标志物并未改变静态模型效应估计值,但它确实大幅增加了髋部骨折风险(AHR = 2.51;p <.001)。
加强非髋部骨折住院患者的出院计划和家庭护理可降低随后的髋部骨折发生率。