Cbiective: To seek for effective nursing measures with the view of reducing nooocmial infection caused by methicillin resistant staphlococcus aurcus (MRSA). Method: The factores associated with nosocomial infection caused by MRSA were analysed on 205 cases from ICU during Jan. ～Jun 2000. Results: 88.6% of staphyloooccus aureus were MRSA in ICU. The percentage of nosocomial infection caused by MRSA was 7.3%. Conclusions:The rate of nosocomial infection causes by MRSA could be effectively reduce. Following proper measures were suggested:sterilization, isolation,nursing of intubation and nanagement of respiratory tract

Objective To investigate the safety and efficacy of nephron-sparing surgery (NSS)for selective T2 stage renal tumor.Methods The surgical database of 26 patients treated with NSS for clinical T2 stage renal cell carcinomas between March 2010 and May 2013 were collected and analyzed retrospectively.There were 17 males and 9 females,with a mean age of 52 years (39-74 years),mean tumor size of 10.3 cm(7.2-16.5 cm),and mean R.E.N.A.L score of 7.5 (6-10).Patients'demographics,clinical characteristics,oncologic outcomes,renal function were reviewed.Results The renal masses were removed successfully and the surgical margins were negative.There were 21 (80.8％) cases of clear cell carcinoma,4 (15.4％) papillary carcinoma and 1 (3.8％) chromophobe carcinoma.The mean ischemia time was (28.3 ± 12.5) minutes (7 patients were clamp-free).Three patients needed transfusion,one experienced urine fistula and cured by conservative treatment,and one patient's renal function got progressive worsening and required long-term hemodialysis.The average serum creatinine was 121 μ mol/L before and 136 μmol/L after surgery (P =0.06).After a period of 22-47 months' follow-up,no patient had local recurrence or metastasis.Conclusions NSS can be safely performed and provide effective oncologic outcomes for selective patients with clinical T2 stage renal cell carcinomas.R.E.N.A.L nephrometry is an important factor and should be used to evaluate the feasibility of NSS.