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聚焦风险分析:基于单中心 5314 例全髋关节和膝关节置换术患者的回归模型。

Focused risk analysis: regression model based on 5,314 total hip and knee arthroplasty patients from a single institution.

机构信息

NYU Langone Medical Center, Hospital for Joint Diseases, New York, New York.

Orthopedic Associates of Hartford, Farmington, Connecticut.

出版信息

J Arthroplasty. 2014 Oct;29(10):2031-5. doi: 10.1016/j.arth.2014.05.007. Epub 2014 May 15.

Abstract

We aimed to identify significant demographic, preoperative comorbidity and surgical predictors for major complications for use in the development of a risk prediction tool for a well-defined population as Total Joint Arthroplasty (TJA) patients. Data on 5314 consecutive patients who underwent primary total hip or knee arthroplasty from October 1, 2008 through September 30, 2011 at a single institution were used in a multivariate regression analysis. The overall incidence of a primary endpoint (reoperation during same admission, extended length of stay, and 30-day readmission) was 3.8%. Significant predictors include certain preexisting genitourinary, circulatory and respiratory conditions; ASA>2; advanced age and prolonged operating time. Mental health conditions demonstrate a strong predictive effect for subsequent serious complication(s) in TJA patients and should be included in a risk-adjustment tool.

摘要

我们旨在确定重大的人口统计学、术前合并症和手术预测因素,以便为特定人群(如全关节置换术 [TJA] 患者)开发风险预测工具。使用单机构 2008 年 10 月 1 日至 2011 年 9 月 30 日期间接受初次全髋关节或膝关节置换术的 5314 例连续患者的数据进行多变量回归分析。主要终点(同一住院期间再次手术、延长住院时间和 30 天再入院)的总体发生率为 3.8%。显著的预测因素包括某些预先存在的泌尿生殖、循环和呼吸系统疾病;ASA>2;高龄和手术时间延长。精神健康状况对 TJA 患者随后发生严重并发症有很强的预测作用,应纳入风险调整工具。

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