Sheehan K J, Sobolev B, Chudyk A, Stephens T, Guy P
School of Population and Public Health, University of British Columbia, Vancouver, Canada.
Centre for Hip Health and Mobility, Vancouver, Canada.
BMC Musculoskelet Disord. 2016 Apr 14;17:166. doi: 10.1186/s12891-016-1018-7.
Several patient and health system factors were associated with the risk of death among patients with hip fracture. However, without knowledge of underlying mechanisms interventions to improve survival post hip fracture can only be designed on the basis of the found statistical associations.
We used the framework developed by Arksey and O'Malley and Levac et al. for synthesis of factors and mechanisms of mortality post low energy hip fracture in adults over the age of 50 years, published in English, between September 1, 2009 and October 1, 2014 and indexed in MEDLINE. Proposed mechanisms for reported associations were extracted from the discussion sections.
We synthesized the evidence from 56 articles that reported on 35 patient and 9 system factors of mortality post hip fracture. For 21 factors we found proposed biological mechanisms for their association with mortality which included complications, comorbidity, cardiorespiratory function, immune function, bone remodeling and glycemic control.
The majority of patient and system factors of mortality post hip fracture were reported by only one or two articles and with no proposed mechanisms for their effects on mortality. Where reported, underlying mechanisms are often based on a single article and should be confirmed with further study. Therefore, one cannot be certain whether intervening on such factors may produce expected results.
髋部骨折患者的死亡风险与多种患者及医疗系统因素相关。然而,在不了解潜在机制的情况下,改善髋部骨折后生存率的干预措施只能基于已发现的统计关联来设计。
我们采用了由阿克西和奥马利以及莱瓦克等人开发的框架,对2009年9月1日至2014年10月1日期间发表于英文且被MEDLINE收录的、关于50岁以上成年人低能量髋部骨折后死亡因素及机制的文献进行综合分析。从讨论部分提取已报道关联的潜在机制。
我们综合了56篇文章的证据,这些文章报道了髋部骨折后死亡的35个患者因素和9个系统因素。对于其中21个因素,我们发现了其与死亡相关的潜在生物学机制,包括并发症、合并症、心肺功能、免疫功能、骨重塑和血糖控制。
髋部骨折后死亡的大多数患者及系统因素仅在一两篇文章中被报道,且未提及它们对死亡率影响的潜在机制。即便有报道,潜在机制往往仅基于一篇文章,需要进一步研究加以证实。因此,无法确定对这些因素进行干预是否会产生预期效果。