a Department of Molecular Medicine and Surgery, Section of Orthopaedics and Sports Medicine , Karolinska Institutet, Karolinska University Hospital , Stockholm ;
b Swedish Hip Arthroplasty Register , Gothenburg ;
Acta Orthop. 2019 Jun;90(3):264-269. doi: 10.1080/17453674.2019.1598710. Epub 2019 Apr 1.
Background and purpose - Socioeconomic status is associated with the outcome of major surgery. We investigated the association of socioeconomic status with the risk of early mortality and readmissions after primary total hip arthroplasty (THA). Patients and methods - We obtained information on income, education, immigration, and cohabiting status as well as comorbidities of 166,076 patients who underwent primary THA due to primary osteoarthritis (OA) from the Swedish Hip Arthroplasty Register, the Swedish National Inpatient Register and Statistics Sweden. Multivariable Cox regression models were fitted to estimate the adjusted risk of mortality or readmissions within 90 days after index surgery. Results - Compared with patients on a low income, the adjusted risk of 30-day mortality was considerably lower in patients on a high income (hazard ratio [HR] 0.5, 95% confidence interval [CI] 0.3-0.7) and in those on a medium income (HR 0.7, CI 0.6-0.9). Similar risk reductions were found for the endpoint 90-day mortality. Patients with a high income had a lower adjusted risk of readmission for cardiovascular reasons than those with a low income (HR 0.7, CI 0.6-0.9), as had those with a higher level of education (adjusted HR 0.7, CI 0.6-0.9). Patients with higher socioeconomic status had a lower degree of comorbidities than socioeconomically disadvantaged patients. However, adjusting for socioeconomic confounders in multivariable models only marginally influenced the predictive ability of the models, as expressed by their area under the curve. Interpretation - Income and level of education are strongly associated with early mortality and readmissions after primary THA, and both parameters are closely connected to health status. Since adjustment for socioeconomic confounders only marginally improved the predictive ability of multivariable regression models our findings indicate that comorbidities may under certain circumstances serve as an acceptable proxy measure of socioeconomic background.
背景与目的-社会经济地位与大手术的结果有关。我们研究了社会经济地位与初次全髋关节置换术(THA)后早期死亡率和再入院的风险之间的关系。
患者和方法-我们从瑞典髋关节置换登记处、瑞典国家住院患者登记处和瑞典统计局获得了 166076 名因原发性骨关节炎(OA)接受初次 THA 的患者的收入、教育、移民和同居状况以及合并症信息。使用多变量 Cox 回归模型来估计指数手术后 90 天内死亡或再入院的调整风险。
结果-与低收入患者相比,高收入患者(危险比[HR]0.5,95%置信区间[CI]0.3-0.7)和中等收入患者(HR 0.7,CI 0.6-0.9)的 30 天死亡率调整风险明显较低。同样的风险降低也出现在 90 天死亡率的终点上。高收入患者因心血管原因再入院的调整风险低于低收入患者(HR 0.7,CI 0.6-0.9),受教育程度较高的患者(调整 HR 0.7,CI 0.6-0.9)也是如此。高社会经济地位的患者比社会经济地位较低的患者合并症程度较低。然而,在多变量模型中调整社会经济混杂因素仅略微影响模型的预测能力,表现为其曲线下面积。
解释-收入和教育水平与初次 THA 后的早期死亡率和再入院密切相关,这两个参数与健康状况密切相关。由于调整社会经济混杂因素仅略微改善了多变量回归模型的预测能力,我们的研究结果表明,在某些情况下,合并症可能是社会经济背景的可接受替代指标。