Trends in epidemiology and patho-anatomical pattern of proximal humeral fractures

肱骨近端骨折的流行病学和病理解剖学模式趋势

阅读:1

Abstract

PURPOSE: Proximal humeral fractures are common and frequently associated with osteoporosis. Little is known about the association between the patho-anatomical fracture pattern of proximal humeral fractures and patient characteristics. The purpose of this six year longitudinal registry analysis of proximal humeral fractures was to study overall numbers, certain predefined pathoanatomical patterns and distribution compared with specific patient characteristics. METHODS: Data of patients treated between 2006 and 2011 in a country hospital that provides care >95 % of the city's hospitalised patients with fractures was retrospectively reviewed. Data were analysed according to patient characteristics of age, gender, comorbidity, accompanying injuries and radiological analysis of pathoanatomical fracture patterns based on Neer and Arbeitsgemeinschaft für Osteosynthesefragen (AO) classification. RESULTS: Eight hundred and fifteen proximal humeral fractures (67% women/33% men; mean age 66 years, range 19-99) were analysed. During the study period, an overall increase of 42.5% was found: according to AO classification, 46% were type A, 22% type B and 32% type C. Based on the Neer classification, 86% were displaced, and 49% were complex with more than three parts. Of complex fractures, 57% were female patients >60 years. The number of complex fractures was five times higher in women >60 years than in men of the same age group. CONCLUSIONS: An overall increase of inpatients with displaced proximal tibial fractures was documented. Interestingly, complex displaced proximal humeral fractures, especially in older women with comorbidities, accounted for the majority of cases. These results suggest that health-care planning and hospital-based therapeutic strategies should focus on this patient group.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。