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Risk factors for complications and in-hospital mortality following hip fractures: A study using the National Trauma Data Bank

机译:髋部骨折后并发症和院内死亡率的危险因素:一项使用国家创伤数据库的研究

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摘要

Study design: Retrospective review of prospectively collected data. Objective: To describe the impact of patient demographics, injury-specific factors, and medical co-morbidities on outcomes after hip fracture using the National Sample Program (NSP) of the National Trauma Data Bank (NTDB). Methods: The 2008 NSP-NTDB was queried to identify patients sustaining hip fractures. Patient demographics, co-morbidities, injury-specific factors, and outcomes (including mortality and complications) were recorded and a national estimate model was developed. Unadjusted differences for risk factors were evaluated using t test/Wald Chi square analyses. Weighted logistic regression and sensitivity analyses were performed to control for all factors in the model. Results: The weighted sample contained 44,419 incidents of hip fracture. The average age was 72.7. Sixty-two percent of the population was female and 80 was white. The mortality rate was 4.5 and 12.5 sustained at least one complication. Seventeen percent of patients who sustained at least one complication died. Dialysis, presenting in shock, cardiac disease, male sex, and ISS were significant predictors of mortality, while dialysis, obesity, cardiac disease, diabetes, and a procedure delay of ≥2 days influenced complications. The major potential modifiable risk factor appears to be time to procedure, which had a significant impact on complications. Conclusions: This is the first study to postulate predictors of morbidity and mortality following hip fracture in a US national model. While many co-morbidities appear to be influential in predicting outcome, some of the more significant factors include the presence of shock, dialysis, obesity, and time to surgery. Level of evidence: Prognostic study, Level II.
机译:研究设计:对前瞻性收集的数据进行回顾性审查。目的:使用国家创伤数据库 (NTDB) 的国家样本计划 (NSP) 描述患者人口统计学、损伤特异性因素和医学合并症对髋部骨折后结局的影响。方法:查询2008年NSP-NTDB以确定髋部骨折患者。记录了患者的人口统计学、合并症、损伤特异性因素和结局(包括死亡率和并发症),并建立了一个国家估计模型。使用 t 检验/Wald 卡方分析评估危险因素的未调整差异。进行加权逻辑回归和敏感性分析以控制模型中的所有因素。结果:加权样本包含 44,419 例髋部骨折事件。平均年龄为72.7岁。62%的人口是女性,80%是白人。死亡率为4.5%,12.5%的人至少存在一种并发症。17%的至少出现一种并发症的患者死亡。透析、休克、心脏病、男性和 ISS 是死亡率的重要预测因素,而透析、肥胖、心脏病、糖尿病和 ≥2 天的手术延迟会影响并发症。主要的潜在可改变危险因素似乎是手术时间,这对并发症有重大影响。结论:这是第一项在美国国家模型中假设髋部骨折后发病率和死亡率预测因素的研究。虽然许多合并症似乎对预测结果有影响,但一些更重要的因素包括休克、透析、肥胖和手术时间的存在。证据等级:预后研究,II级。

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