Orthopaedic & Rehabilitation Department, University of Iowa, 7920-06 JPP, Iowa City, IA, 52242, USA.
The Indus Hospital, USA.
Int J Surg. 2020 Oct;82:116-120. doi: 10.1016/j.ijsu.2020.08.017. Epub 2020 Aug 24.
Hip fractures are of major concern due to the aging population worldwide. Surgery on this vulnerable population carries high risk. Charlson comorbidity index (CCI), has been reported to predict the mortality in these patients. Investigators in this study aimed at studying the prediction effect of CCI on hip fracture surgery complications after controlling other patents' and procedures' related factors.
We conducted a retrospective cohort of 1045 patients with hip fractures who were treated surgically at our tertiary care and level 1 trauma Center between 2010 and 2018. Primary exposure was CCI and primary outcome was in-hospital and 30 days postoperative complications (major and minor). Cox proportional algorithm analysis was done at univariate and multivariable levels to report Crude Relative Risk (RR) and Adjusted Relative Risk (aRR), respectively. Results were reported in line with STROBE criteria.
Exposed group included 867 (83%) of patients with 340 (39%) males. Postoperative complications occurred in 449 (43%) of the patients in exposed group with (62) 6% patients admitted in ICU postoperatively. At multivariable model, CCI was significantly associated with postoperative complications; patients with moderate-severe systemic diseases were 1.45 times (95% CI: 1.05-1.99) at risk of developing postoperative complications as compared to patients with low CCI scores after controlling for other variables in the model. Other significant factors included ASA status and postoperative ICU admission.
CCI can be a good predictor independent variable of postoperative complications after hip fracture surgery. These patients need extra care and counseling to reach an informed decision keeping in mind the benefits versus risks of surgery. We recommend multi-center studies for corroboration.
由于全球人口老龄化,髋部骨折是一个主要关注点。对这个脆弱人群进行手术存在很高的风险。Charlson 合并症指数(CCI)已被报道可预测这些患者的死亡率。本研究的研究人员旨在研究 CCI 在控制其他患者和手术相关因素后对髋部骨折手术并发症的预测作用。
我们对 2010 年至 2018 年在我们的三级护理和一级创伤中心接受手术治疗的 1045 例髋部骨折患者进行了回顾性队列研究。主要暴露因素为 CCI,主要结局为住院期间和术后 30 天的并发症(主要和次要)。在单变量和多变量水平上进行 Cox 比例风险算法分析,分别报告粗相对风险(RR)和调整相对风险(aRR)。结果按照 STROBE 标准报告。
暴露组包括 867 例(83%)患者,其中 340 例(39%)为男性。暴露组中有 449 例(43%)患者发生术后并发症,其中 62 例(6%)患者术后入住 ICU。在多变量模型中,CCI 与术后并发症显著相关;与低 CCI 评分的患者相比,患有中度至重度系统性疾病的患者发生术后并发症的风险增加 1.45 倍(95%CI:1.05-1.99),在模型中控制其他变量后。其他显著因素包括 ASA 状态和术后 ICU 入院。
CCI 可以作为髋部骨折手术后术后并发症的一个良好预测独立变量。这些患者需要额外的护理和咨询,以在考虑手术的利弊后做出明智的决定。我们建议进行多中心研究以证实这一点。