Success Rates of Debridement,Antibiotics, and Implant Retention in 230 Infected Total Knee Arthroplasties: Implications for Classification of Periprosthetic Joint Infection

BackgroundProsthetic joint infection (PJI) is the most common cause of failure following total knee arthroplasty (TKA). This study aimed to determine the success of debridement, antibiotics, and implant retention (DAIR) in a large cohort of TKA PJIs and assess the utility of current classification systems in predicting DAIR outcomes in early postoperative, late hematogenous, and chronic PJIs.MethodsIn a multicenter review over 15 years, 230 patients underwent DAIR for first episode PJI following primary TKA. Patient demographics, disease and surgical factors, treatment regime, and outcomes were identified. Univariate and multivariate survival analyses were performed to identify factors associated with successful DAIR. Continuous variables with predictive value were further analyzed using receiver operating characteristic curves. The ability to predict DAIR outcomes of multiple classification systems was also assessed.ResultsPatients were followed for an average of 6.9 years. The overall success rate of DAIR was 53.9%. On receiver operating characteristic analysis, 3 months (area under the curve = 0.63) and 1-year age (area under the curve = 0.66) of implant cut-offs was similarly predictive of outcomes. On multivariate survival analysis, DAIR was successful in 64% of “early” PJIs (implant <1 year) vs 38% of “late hematogenous” PJIs (implant >1 year; odds ratio [OR] 1.78, P = .01). For late PJIs (implant >1 year), Staphylococcus aureus (OR 4.70, P < .001) and gram-negative infections (OR 2.56, P = .031) were risk factors for DAIR failure.ConclusionDAIR has a high failure rate in all PJIs occurring more than a year post primary TKA, particularly when caused by S aureus or gram-negative bacteria. The age of implant is an important predictor of DAIR outcomes.     

基于人工智能感官与多源信息融合技术的五味药性二分类辨识方法探讨

目的 探究人工智能感官与多源信息融合技术用于中药五味药性二分类辨识方法的可行性,为中药药性评价提供新的方法借鉴。方法 选取122种仅含单一味不含兼味的5类代表性中药饮片（源自《中国药典》2020年版）及14种常用的食品类样本,使用PEN3型电子鼻及ASTREE、SA402B型电子舌采集136种样本的智能感官信息,以得到的信息矩阵作为自变量（X）,药典项下的性味描述等作为标杆信息（Y）,利用主成分分析-判别分析（principal component analysis-discriminant analysis,PCA-DA）、最小二乘-支持向量机（least squares-support vector machine,LS-SVM）2种化学计量学方法,分别基于单一型号智能感官设备（单源）和多智能感官信息融合（多源）建立五味二分类（酸/非酸、咸/非咸、辛/非辛、甘/非甘、苦/非苦）辨识模型Y=F(X),以交互验证的正判率作为模型优选指标。结果 经留一法交互验证,基于单源信息的五味二分类模型中最大正判率分别是98.53%(ASTREE/PCA-DA、LS-SVM)、97.06%(ASTR...     

单味药药性成因假说下的范式方法研究淫羊藿药性

科学合理的中药药性研究方法是中医药药性科学内涵研究的基础和客观要求。在既往创建的“单味药药性成因假说”理论指导下,在国内外首次创建“单味药药性形成演变分类范式模块”研究方法。运用此方法,在利用现代药效物质基础研究成果解析淫羊藿四气药性合理性的基础上,在中医学理论语境下,分析单味药淫羊藿四气药性历史形成、演变过程及影响因素,并将研究结果纳入模块类别单元分类。为建立系统、科学合理的中药药性研究方法与手段,提供了新思路。     

后路经椎间隙截骨的临床分型及应用

【摘要】 目的：介绍脊柱后路经椎间隙截骨术（trans-intervertebral space osteotomy,TIO）的技术理念、临床分型和应用策略。方法：根据TIO技术特点、手术操作过程中截骨切除范围所涉及的解剖结构,将其分为3大类型及2种扩大（+）型：围绕椎间盘及关节突关节为Ⅰ型,扩大至楔形切除椎间隙一侧终板为Ⅱ型（头尾双侧终板则为Ⅱ+型）。扩大至楔形切除椎间隙一侧椎弓根为Ⅲ型（双侧椎弓根则为Ⅲ+型）;收集2003年1月~2012年12月接受后路经椎间隙截骨术治疗的30例胸腰椎侧后凸畸形患者的临床资料,其中男12例,女18例,年龄29~69岁（51.4±10.4岁）。由5位脊柱外科医师先后对患者的临床资料进行独立评估与分型（间隔2周）,进行Kappa一致性检验以分析其可信度及可重复性。结果：30例患者中行Ⅰ型TIO 15例,Ⅱ型TIO 6例,Ⅱ+型TIO 3例,Ⅲ型TIO 4例,Ⅲ+型TIO 2例。观察者间一致性的Kappa系数0.806~0.953;观察者内一致性的Kappa系数为0.837~0.953,可信度及可重复性满意。结论：经椎间隙截骨临床分型实用可靠,可作为理论基础用于比较不同研究中经椎间隙截骨技术的手术效果,有利于指导脊柱侧后凸畸形的截骨矫形治疗。