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评估诺丁汉髋关节骨折评分、年龄校正的查尔森合并症指数以及生理和手术严重程度评分,以确定其作为老年股骨颈骨折患者死亡率预测指标时在死亡率和发病率计算中的作用。

Evaluation of Nottingham Hip Fracture Score, Age-Adjusted Charlson Comorbidity Index and the Physiological and Operative Severity Score for the enumeration of Mortality and morbidity as predictors of mortality in elderly neck of femur fracture patients.

作者信息

Nelson Michael James, Scott Justin, Sivalingam Palvannan

机构信息

Princess Alexandra Hospital, The University of Queensland, Brisbane, QLD, Australia.

Intensive Care Unit, St Vincent's Private Hospital Northside, Chermside, QLD, Australia.

出版信息

SAGE Open Med. 2020 Apr 28;8:2050312120918268. doi: 10.1177/2050312120918268. eCollection 2020.

Abstract

BACKGROUND

This study evaluated the use of several risk prediction models in estimating short- and long-term mortality following hip fracture in an Australian population.

METHODS

Data from 195 patients were retrospectively analysed and applied to three models of interest: the Nottingham Hip Fracture Score, the Age-Adjusted Charlson Comorbidity Index and the Physiological and Operative Severity Score for enUmeration of Mortality and Morbidity. The performance of these models was assessed with receiver operating characteristic curve as well as logistic regression modelling.

RESULTS

The median age of participants was 83 years and 69% were women. Ten percent of patients were deceased by 30 days, 25% at 6 months and 31% at 12 months post-operatively. While there was no statistically significant difference between the models, the Age-Adjusted Charlson Comorbidity Index had the largest area under the receiver operating characteristic curve for within 30 day and 12 month mortality, while the Nottingham Hip Fracture Score was largest for 6-month mortality. There was no evidence to suggest that the models were selecting a specific subgroup of our population, therefore, no indication was present to suggest that using multiple models would improve mortality prediction.

CONCLUSIONS

While there was no statistically significant difference in mortality prediction, the Nottingham Hip Fracture Score is perhaps the best suited clinically, due to its ease of implementation. Larger prospective data collection across a variety of sites and its role in guiding clinical management remains an area of interest.

摘要

背景

本研究评估了几种风险预测模型在估计澳大利亚人群髋部骨折后短期和长期死亡率方面的应用。

方法

对195例患者的数据进行回顾性分析,并应用于三种感兴趣的模型:诺丁汉髋部骨折评分、年龄调整后的查尔森合并症指数以及用于死亡率和发病率枚举的生理和手术严重程度评分。通过受试者工作特征曲线以及逻辑回归模型评估这些模型的性能。

结果

参与者的中位年龄为83岁,69%为女性。术后30天内10%的患者死亡,6个月时为25%,12个月时为31%。虽然各模型之间无统计学显著差异,但年龄调整后的查尔森合并症指数在30天内和12个月死亡率的受试者工作特征曲线下面积最大,而诺丁汉髋部骨折评分在6个月死亡率方面最大。没有证据表明这些模型在选择我们人群中的特定亚组,因此,没有迹象表明使用多个模型会改善死亡率预测。

结论

虽然在死亡率预测方面没有统计学显著差异,但由于其易于实施,诺丁汉髋部骨折评分可能在临床上最适用。跨多个地点进行更大规模的前瞻性数据收集及其在指导临床管理中的作用仍然是一个感兴趣的领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2295/7222650/9f38aff1ac27/10.1177_2050312120918268-fig1.jpg

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