期刊
OSTEOPOROSIS INTERNATIONAL
卷 24, 期 5, 页码 1689-1696出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00198-012-2225-1
关键词
Cohort study; Epidemiology; Fractures; Population-based; Survival
资金
- National Institute on Aging, US Public Health Service [P01 AG04875, R01 AG034676]
Adjusting for age, sex, and precipitating cause, the relative risk of death was increased following fractures at most skeletal sites. This study aims to determine long-term survival following fractures due to any cause at each skeletal site. In a historical cohort study, 2,901 Olmsted County, MN, USA, residents a parts per thousand yen35 years old who experienced any fracture in 1989-1991 were followed passively for up to 22 years for death from any cause. Standardized mortality ratios (SMRs) compared observed to expected deaths. During 38,818 person-years of follow-up, 1,420 deaths were observed when 1,191 were expected (SMR, 1.2; 95 % CI, 1.1-1.3). The overall SMR was greatest soon after fracture, especially among the men, but remained elevated for over a decade thereafter. Adjusting for age and sex, relative death rates were greater for pathological fractures and less for severe trauma fractures compared to the fractures due to no more than moderate trauma. In the latter group, long-term mortality was increased following fractures at many skeletal sites. After further adjustment for precipitating cause, overall SMRs were elevated not only following fractures at the traditional major osteoporotic sites (i.e., distal forearm, proximal humerus, thoracic/lumbar vertebrae, and proximal femur) combined (SMR, 1.2; 95 % CI, 1.1-1.3) but also following all other fracture types combined (SMR 1.2; 95 % CI, 1.1-1.4), excluding the hand and foot fractures not associated with any increased mortality. The persistence of increased mortality long after the occurrence of a fracture has generally been attributed to underlying comorbidity, but this needs to be defined in much greater detail if specific opportunities are to be identified for reducing the excess deaths observed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据