Cher Eric Wei Liang, Carson John Allen, Sim Eileen Yilin, Abdullah Hairil Rizal, Howe Tet Sen, Koh Suang Bee Joyce
Department of Orthopedic Surgery, Singapore General Hospital, Singapore, Singapore.
Centre of Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Geriatr Orthop Surg Rehabil. 2021 Sep 26;12:21514593211036235. doi: 10.1177/21514593211036235. eCollection 2021.
The use of risk stratification tools in identifying high-risk hip fracture patients plays an important role during treatment. The aim of this study was to compare our locally derived Combined Assessment of Risk Encountered in Surgery (CARES) score with the the American Society of Anesthesiologists physical status (ASA-PS) score and the Deyo-Charlson Comorbidity Index (D-CCI) in predicting 2-year mortality after hip fracture surgery. A retrospective study was conducted on surgically treated hip fracture patients in a large tertiary hospital from Jan 2013 through Dec 2015. Age, gender, time to surgery, ASA-PS score, D-CCI, and CARES score were obtained. Univariate and multivariable logistic regression analyses were used to assess statistical significance of scores and risk factors, and area under the receiver operating characteristic (ROC) curve (AUC) was used to compare ASA-PS, D-CCI, and CARES as predictors of mortality at 2 years. 763 surgically treated hip fracture patients were included in this study. The 2-year mortality rate was 13.1% (n = 100), and the mean ± SD CARES score of surviving and demised patients was 21.2 ± 5.98 and 25.9 ± 5.59, respectively. Using AUC, CARES was shown to be a better predictor of 2-year mortality than ASA-PS, but we found no statistical difference between CARES and D-CCI. A CARES score of 23, attributable primarily to pre-surgical morbidities and poor health of the patient, was identified as the statistical threshold for "high" risk of 2-year mortality. The CARES score is a viable risk predictor for 2-year mortality following hip fracture surgery and is comparable to the D-CCI in predictive capability. Our results support the use of a simpler yet clinically relevant CARES in prognosticating mortality following hip fracture surgery, particularly when information on the pre-existing comorbidities of the patient is not immediately available.
风险分层工具在识别高危髋部骨折患者中对治疗起着重要作用。本研究的目的是比较我们本地得出的手术中风险综合评估(CARES)评分与美国麻醉医师协会身体状况(ASA-PS)评分及德约-查尔森合并症指数(D-CCI)在预测髋部骨折手术后2年死亡率方面的效果。对2013年1月至2015年12月期间在一家大型三级医院接受手术治疗的髋部骨折患者进行了一项回顾性研究。获取了患者的年龄、性别、手术时间、ASA-PS评分、D-CCI和CARES评分。采用单因素和多因素逻辑回归分析来评估评分和风险因素的统计学意义,并使用受试者操作特征(ROC)曲线下面积(AUC)来比较ASA-PS、D-CCI和CARES作为2年死亡率预测指标的效果。本研究纳入了763例接受手术治疗的髋部骨折患者。2年死亡率为13.1%(n = 100),存活患者和死亡患者的平均±标准差CARES评分分别为21.2±5.98和25.9±5.59。通过AUC分析显示,CARES在预测2年死亡率方面比ASA-PS表现更好,但我们发现CARES与D-CCI之间无统计学差异。CARES评分为23,主要归因于术前合并症和患者健康状况不佳,被确定为2年死亡率“高”风险的统计学阈值。CARES评分是髋部骨折手术后2年死亡率的一个可行风险预测指标,其预测能力与D-CCI相当。我们的结果支持使用更简单但与临床相关的CARES来预测髋部骨折手术后的死亡率,特别是在无法立即获取患者既往合并症信息的情况下。