Objective To explore the characteristics of drug resistance of Staphylococcus aureus and methicillin-resistant Staphylococcus aureus SCCmec genotyping.Methods The disc agar diffusion method was taken to test 500 Staphylococcus aureus susceptibility and methicillin-resistant Staphylococcus aureus by multiplex PCR SCCmec genotyping assay.Results The rate of methicillin-resistant Staphylococcus aureus was 40.0％ (200/500),and had a high resistance rate to clindamycin,sulfamethoxazole and tetracycline,which celebrate neomycin and quinolones resist ance rates,while a completely resistant to clindamycin and β-lactam drug,and other performance of multi-drug resist ance,resistance to vancomycin had not uncovered any prime strains; through SCCmec genotyping of MRSA,which mainly SCCmec Ⅲ and SCCmec Ⅳ well SCCmec Ⅴ type,another seven unclassified.Conclusion The separation of Staphylococcus aureus,methicillin-resistant Staphylococcus aureus performance of multiple drug resistance performance of its SCCmec genotyping is SCCmec Ⅲ type and SCCmec Ⅳ and SCCmec Ⅴ type.

Objective:To construct a Nomogram model in predicting recurrence-free survival (RFS) and overall survival (OS) at six months, one year and two years after hepatocellular carcinoma (HCC) resection by using inflammatory markers combined with other routine clinical indicators.Methods:The data of 314 patients with HCC who underwent first time hepatectomy at Beijing Chaoyang Emergency Rescue Center and Air Force Characteristic Medical Center from January 2013 to January 2018 were analyzed. HCC patients who underwent hepatectomy at the First Medical Center of PLA General Hospital from January 2011 to January 2016 ( n=106) were used as the external validation group. Univariate and multivariate Cox proportional risk model was used to analyze independent risk factors of recurrence and death in HCC patients. A Nomogram model was constructed based on independent risk factors. Validation of the efficacy of the Nomogram model was done based on external data. Results:In the experimental group, 174 patients relapsed. The median RFS was 26 months. The 6 months, 1 year and 2 years RFS were 26.8%, 43.9%, and 68.8%, respectively. A total of 142 patients had died. The median survival time was 30 months. The 6 months, 1 year and 2 years OS were 5.9%, 23.6% and 63.1%, respectively. In the external validation group, 63 patients had developed recurrence, with a median RFS time of 28 months. The 6 months, 1 year and 2 years RFS were 26.4%, 45.3%, 54.7%, respectively. The median survival time was 31 months. The 6 months, 1 year and 2 years OS were 7.5%, 25.5%, 46.6%, respectively. Tumor size (>6.0 cm, HR: 1.447), vascular invasion ( HR: 1.408), TBil (>0.94 mg/dl, HR: 1.949), NLR (>2.54, HR: 2.843), AGR (≤0.88, HR: 2.447) were independent risk factors of HCC recurrence ( P<0.05). Tumor size (>6.0 cm, HR: 2.207), vascular invasion ( HR: 1.529), and NLR (>2.54, HR: 2.708) were independent risk factors of death for HCC patients ( P<0.05). The C-indexes of half-year, one-year and two-year RFS were 0.764 (95% CI: 0.677-0.854), 0.710 (95% CI: 0.615-0.824) and 0.673 (95% CI: 0.601-0.786), respectively. The C-indexes of half-year OS, one-year OS and two-year OS were 0.729 (95% CI: 0.648-0.841), 0.708 (95% CI: 0.608-0.813) and 0.664 (95% CI: 0.618-0.771), respectively. Conclusion:In this study, the construction of a Nomogram model in predicting prognosis of HCC patients was helpful to guide clinicians in improving preoperative treatment plans and in providing ideas for individualized treatment of patients.