Total knee arthroplasty (TKA) is an effective treatment for end-stage knee disease, with the postoperative alignment, component position, soft tissue balance, and prosthesis matching being key factors for the success of TKA. In order to achieve more accurate postoperative alignment and component position, better soft tissue balance and prosthesis matching for longer prosthesis longevity, better postoperative function and higher patient satisfaction, various intelligent accuracy technological aids such as computer assisted navigation (CAN), patient specific instrumentation (PSI), surgical robots, microsensors, customized implants (CI) and personalized 3D preoperative planning have emerged and are given high expectation. In this paper, the authors review the application and research progress of the above technological aids mainly from aspects of alignment, component position, clinical outcomes and cost analysis, so as to provide a reference for the application of related technological aids in TKA.

Objective To construct a prediction model for coronal malalignment of lower limb in middle-aged and young people in China based on body surface big data in order to provide a faster and more accurate tool for predicting the malalignment in clinical practice.Methods A cross-sectional trial was adopted on 915 patients with knee meniscus tears admitted to the Sports Medical Center of our hospital from May 2022 to December 2023.The coronal force line of lower limb was measured,and according to the lower limb force line grading standards,the patients were divided into neutral force line group and malalignment lower limb group,and assigned randomly into training set and validation set in a ratio of 7∶3.Seven indicators,such as gender,age,and body surface big data (including BMI,lower limb length,distance between both knee joints,distance between both ankle joints,and subcutaneous fat thickness)were used to analyze the training set to predict the value of malalignment force line.Logistic regression model and nomogram model were constructed to visualize our prediction model. Then calibration curves,receiver operating characteristic (ROC)curve,and decision curve analysis (DCA)were applied to evaluate the diagnostic efficacy of the constructed model.Results In the training set of 640 cases,there were 299 males and 341 females,with a median age of 41 .5 years old,and for the validation set,there are 275 patients,including 128 males and 147 females,with a median age of 41 .0 years old.Significant differences were observed in above mentioned 7 indicators between the 2 groups in the training set (P<0.01 ).Based on the results of multiple logistic regression analysis,a prediction model for malalignment of lower limb was constructed,including BMI (24.31±3.58 kg/m2,OR=1 .12,95％CI:1 .06～1 .19,P<0.001 ),lower limb length[82.00 (78.00～87.00)cm,OR=0.95,95％CI:0.92～0.98,P=0.002],distance between both knee joints[30.00 (16.00～45.25)cm,OR=1 .06,95％CI:1 .05～1 .07,P<0.001],distance between both ankle joint[23.00 (8.00～30.00)mm,OR=0.98,95％CI:0.96～1 .00,P=0.078]and gender[man 299 (46.72％),OR=0.70,95％CI:0.46～1 .06,P=0.089].The area under the subject curve (AUC)value of our constructed model for predicting malalignment of lower limb was 0.808 and 0.770,respectively,in the training and validation sets.Conclusion Based on body surface big data,we primarily construct a prediction model for malalignment of lower limb for middle-aged and young people in China,which shows a good diagnostic performance on malalignment of lower limb.

We conducted a randomized, open-label, parallel-controlled, multicenter trial on the use of Shuanghuanglian (SHL), a traditional Chinese patent medicine, in treating cases of COVID-19. A total of 176 patients received SHL by three doses (56 in low dose, 61 in middle dose, and 59 in high dose) in addition to standard care. The control group was composed of 59 patients who received standard therapy alone. Treatment with SHL was not associated with a difference from standard care in the time to disease recovery. Patients with 14-day SHL treatment had significantly higher rate in negative conversion of SARS-CoV-2 in nucleic acid swab tests than the patients from the control group (93.4% vs. 73.9%, P = 0.006). Analysis of chest computed tomography images showed that treatment with high-dose SHL significantly promoted absorption of inflammatory focus of pneumonia, which was evaluated by density reduction of inflammatory focus from baseline, at day 7 (mean difference (95% CI), -46.39 (-86.83 to -5.94) HU; P = 0.025) and day 14 (mean difference (95% CI), -74.21 (-133.35 to -15.08) HU; P = 0.014). No serious adverse events occurred in the SHL groups. This study illustrated that SHL in combination with standard care was safe and partially effective for the treatment of COVID-19.
COVID-19 ; Humans ; Medicine, Chinese Traditional ; Research ; SARS-CoV-2 ; Treatment Outcome