Objective To determine the accuracy of femoral components sizing predicted by standardized digital templating in total knee arthroplasty (TKA).Methods Fifty consecutive patients (50 knees),who underwent primary TKAs for endstage osteoarthritis,were prospectively studied.The intra-operative and radiographic data were collected.All operations were performed by the same surgical techniques with PS type,open box Vanguard Complete Knee System.All patients underwent lateral and AP radiography of the involved knee under fluoroscopy before and after surgery.The distal femoral anteroposterior dimension (DFAP) were measured and the femoral components size were predicted on preoperative radiographs by two different methods:measurement of DFAP did not include (group A) the cartilage thickness of the medial posterior condyle or included that (group B).Cutting errors were corrected gradually,and DFAP was measured consequently.The most appropriate size was chose after each step respectively based on postoperative radiographs.The accuracy of femoral size predicted under different conditions was compared within two groups.Results During correction of cutting errors,the correct rate ranged from 18％ to 44％ in group A and from 26％ to 34％ in group B,the accuracy within one size ranged from 54％ to 84％ in group A and from 58％ to 84％ in group B.The cartilage thickness of medial posterior condylar,external rotation of femoral component,under-resected of anterior condylar,flexion of femoral component,and over-resected of posterior condylar can change the DFAP by 1.97±0.85 mm,1.56±2.06 mm,1.15±1.31 mm,-2.86±1.52 mm,and-0.87±0.77 mm,respectively.Conclusion Variation of intraoperative cutting errors and the cartilage thickness of medial posterior condyles can influence the accuracy of templating to some extent.Standardized digital radiography templating cannot predict femoral sizes accurately.

Objective The single nucleotide polymorphisms (SNPs) of APOE and SLCO1B1 were examined to explore their association with the risk and severity of coronary heart disease(CAD). Methods A total of 1267 cases of consecutive coronary heart disease (CAD)-suspected inpatients visiting department of Cardiology in Peking University Peoples' Hospital from March 2017 to november were recruited into this case-control study, and then 391 CAD cases and 223 non-CAD controls were enrolled for final analysis after screening by coronary angiography and exclusion criteria. The severity of the CAD cases were evaluated according to Gensini scores. The SNPs of APOE(388T>C, 526C>T) and SLCO1B1(388A>G, 521T>C) were detected using Real-time PCR and further verified using Sanger sequencing. Environmental risk factors were collected, and the correlations between SNPs of APOE and SLCO1B1 and the risk and severity of CAD were performed by SPSS version 16.0. Results The SNPs of all the subjects included in CAD group and non-CAD group were successfully detected, with an accordance of 100％ to Sanger sequencing. The distribution of APOE and SLCO1B1 gene were subjected to Hardy-Weinberg. The distributions of APOE gene ε3/ε3 genotypes and ε3 allele were most commonly found in both CAD group and non-CAD group (ε3/ε3: 70.8％,73.1％;ε3: 83.5％,85.2％;respectively). APOE genotypes and alleles were comparable between the CAD cases and non-CAD controls (P>0.05). The frequencies of APOE gene ε4+genotype were more likely to be found in the subgroup of CAD with Gensini score≥72 (P<0.05). The distributions of SLCO1B1 gene *1b/*1b genotypes and *1b allele were most commonly found in both CAD group and non-CAD group (*1b/*1b: 37.3％, 36.8％; *1b: 60.1％, 61.7％; respectively). There was no significant difference in genotype and allele frequencies of SLCO1B1 between the two groups and among subgroups with different severity of CAD (P>0.05). Conclusion This study observed no association between SNPs of APOE, SLCO1B1 and the risk of CAD in this population. However, APOE gene ε4 +genotype may increase the severity of CAD.