OBJECTIVE To investigate the impact of disinfection quality in surgical dressing room on the healing of wound with dressing exchanges in order to implement procedures to prevent nosocomial infection. METHODS A retrospective investigation was performed and cases of poor surgical wound healing from Jan 2006 to Dec 2007 were collected and analised. Effective measures were taken to enhance the management and surveillance in the dressing room. RESULTS After taking the prevention procedure,the passing rate of disinfection was increased. Before implementing the prevention procedure the passing rates of air,surface and finger cultured were 83.3%,83.3% and 75.0%,respectively,After taking the prevention procedure the passing rates of above were all 100.0%.The rate of poor wound healing decreased from 4.16% to 1.59%. CONCLUSIONS The disinfection quality of dressing room has direct effects on the wound healing. The management of dressing room disinfection should be emphasized to cut down the nosocomial infections of wound.

A rapid analysis method based on ultraviolet-visual(UV-Vis) spectroscopy, near infrared(NIR) spectroscopy and multivariable data analysis was established for quality evaluation of Shengxuebao Mixture. The contents of eight active ingredients of Shengxuebao Mixture including albiflorin, paeoniflorin, 2, 3, 5, 4'-tetra-hydroxy-stilbene-2-O-β-D-glucopyranoside, specnuezhenide,ecliptasaponin D, emodin, calycosin-7-glucoside and astragaloside Ⅳ were simultaneously detected by using this method. HPLC-UV-MS was used as a reference method for determining the contents of these ingredients. Partial least squares(PLS) analysis was implemented as a linear method for multivariate models calibrated between UV spectrum/NIR spectrum and contents of 8 ingredients. Finally, the performance of the model was evaluated by 24 batches of test samples. The results showed that both UV-Vis and NIR models gave a good calibration ability with an R~2 value above 0.9, and the prediction ability was also satisfactory, with an R~2 value higher than 0.83 for UV-Vis model and higher than 0.79 for NIR model. The overall results demonstrate that the established method is accurate, robust and fast, therefore, it can be used for rapid quality evaluation of Shengxuebao Mixture.
Calibration ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Least-Squares Analysis ; Mass Spectrometry ; Spectroscopy, Near-Infrared

Objective To compare the efficacy and safety of diazepam combined with olanzapine in treatment of agitation symptoms in patients with alcohol withdrawal delirium tremors( DT) . Methods Total-ly 60 inpatients with DT according to CCMD-3 were enrolled in a 7-day,with 30 patients in the diazepam group ( control group) and 30 patients in diazepam combined with olanzapine group ( research group) . The delirium rating scale( DRS-R-98) was used to evaluate the severity of the delirium symptoms. The positive and negative syndrome scale excited component( PANSS-EC) was used to assess the agitation symptoms. The treatment emergent symptom scale ( TESS) was used to assess the safety and the vital signs. Results There was no significant difference in the delirium recovery time between the two groups(M(QR):24 h(24 h)vs 24 h(6 h))(Z=-0. 45,P=0. 65). The PANSS-EC score in research group(17. 00±2. 67) was significant low-er than that in control group(19. 80±2. 43) at the 6 hours after treatment(t=4. 26,P<0. 01),but there were no significant difference between the two groups at the baseline,24 h,48 h and 72 h(P>0. 05) . One case of dizziness,2 cases of lethargy in the control group;1 case of nasal congestion,5 cases of drowsiness,3 cases of constipation, 3 cases of dry mouth, 1 case of abnormal liver function in the research group. Conclusion The combination of olanzapine with diazepam can not reduce the recovery time of DT,but can quickly improve the agitation behavior.

In this study, the HPLC-UV-MS method for the simultaneous determination of eight active ingredients of Shengxuebao Mixture were developed based on the concept of quality by design（QbD）with a stepwise optimization approach. After the analytical target profile（ATP）had been defined, albiflorin, paeoniflorin, 2, 3, 5, 4'-tetra-hydroxy-stilbene-2-O-β-D-glucopyranoside, specnuezhenide, ecliptasaponin D, emodin, calycosin-7-glucoside, and astragaloside Ⅳ were identified as the indicator components. The resolution and the signal-to-noise ratio of indicator components were then selected as critical method attributes (CMA) for the first step optimization. According to the results collected from fractional factorial design, critical method parameters (CMP) were determined with a multiple linear regression method, which included the amount of acid addition in the mobile phase, temperature, gradient, and wavelength. After that, the amount of acid addition and the wavelength were optimized to improve the resolution and the signal-to-noise ratio of the indicator components. The peak symmetry factors of specnuezhenide and emodin were then set as CMA for the second step optimization. The Box-Behnken designed experiments were conducted. The temperature and gradient were optimized after modelling. The design space were calculated and verified. The optimized analytical method was validated, and the results showed a good precision, accuracy and stability, which means that it can be used for the quantification of the indicator components in Shengxuebao Mixture.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; analysis ; Mass Spectrometry ; Phytochemicals ; analysis ; Reproducibility of Results

Objective To establish new classification criteria for early rheumatoid arthritis (E-RA) based on large samples of early inflammatory arthritis patients and to evaluate the value of this criteria in China.Methods Patients who had arthritic complaints with disease duration less than one year were enrolled.They were divided into RA group and non-RA group according to the clinical diagnosis by experienced rheumatologists.The clinical and laboratory parameters were analyzed and those with high sensitivity or specificity were selected as the new classification criteria.Statistical analysis was carried out by using t test,x2 test and Logistic regression.Results ① A total of 803 patients with early inflammatory arthritis were included in this study.Five hundreds and fourteen patients were diagnosed as early RA and 251 were diagnosed as other rheumatic diseases,and the diagnosis of 38 patients remained unestablished by the end of follow-up.② New E-RA classification criteria were established based on the parameters with high sensitivity and/or specificity.The sensitivity of the new E-RA criteria was 84.4％,which was higher than 1987 ACR criteria (58.0％),while the corresponding specificities were similar,which were 87.4％ and 93.6％ respectively.③ Compared with the complex scoring system of 2010 ACR/EULAR criteria,the E-RA criteria was more simple and practical.The diagnostic sensitivity and specificity of E-RA criteria were higher than those of 2010 ACR/EULAR criteria reported in the literatures.④ New classification criteria based on scoring system using Logistic regression analysis was established.The sensitivity of this criteria was 86.4％,which was higher than 1987 ACR criteria (58.0％).Conclusion The diagnostic value of the E-RA criteria developed in this study for early RA is better than 1987 ACR criteria,and is more simple than 2010 ACR/EULAR criteria.It may be used as a new classification criteria for early RA diagnosis.