Objective:To evaluate the effectiveness of the information management system on the clinical application of special-grade antimicrobial.Methods:Using the established knowledge database, a computer program was designed and developed, which was embedded in the electronic medical record to intervene the clinical use of the special-grade antimicrobial since 2015. The basic information of all discharged patients from the Second Affiliated Hospital of Zhejiang University School of Medicine from January 2013 to December 2020 were extracted from the HIS system, including the medical orders for antibiotics and the drug storehouse dispensing data.The trend analysis was carried out on the changes of the use rates and antibiotic use density (AUD) of the special-grade antimicrobials in the whole hospital and intensive care units (ICU). The data were processed and analyzed using SPSS 24.0.Results:From 2013 to 2015, except for meropenem and amphotericin B, the usage rate of all special-grade antimicrobials in the whole hospital showed an upward trend ( P<0.05). The proportion of special-grade antimicrobials used in the hospital increased year by year ( χ2=7 804.081, P<0.01). The total usage rate of special-grade antimicrobials in ICU showed an upward trend year by year ( χ2=67.028, P<0.01). Since the implementation of the special-grade antimicrobial information management system in 2015, the total use rate of special-grade antimicrobials in the hospital, the use rate of various antibiotics except linezolid, amphotericin B and posaconazole, and the proportion of special-grade antimicrobials used in the hospital have all shown a downward trend year by year ( P<0.01). The total usage rate and total AUD of special-grade antimicrobials in ICU showed a decreasing trend year by year ( χ2=343.514, P<0.01, β=-0.963, P=0.002). Conclusion:The information management system for special-grade antimicrobial can effectively reduce the utilization rate and AUD of most special-grade antibiotics in hospitalized patients including ICU, and has a good clinical application value in antimicrobial stewardship.

Objective:To explore the influence of the contours of different parts of the human body on the setup errors of Catalyst HD optical surface imaging (OSI) system-guided radiotherapy.Methods:Using the 3D printing technology, arc- and oval arc-shaped phantoms with base angles of 5°-45° (step length: 5°) were designed to simulate the contours of different body parts of patients. A Catalyst HD system was employed for monitoring, during which the gains and integration time of the system were adjusted. The treatment couches were manually moved (range: -5 mm to 5 mm, with a step length of 2 mm). The ratios of transverse to longitudinal dimensions of all phantoms were recorded. The recorded items also included couch value errors in the anterior-posterior (AP), inferior-superior (SI), and left-right (LR) directions for transversely and longitudinally placed phantoms, as well as the setup errors monitored using the Catalyst HD system. Then, this study presented an analysis of the correlation between phantoms for different body contours and the gains and integration time of the Catalyst HD system. The purpose was to compare the setup errors under the two different placement conditions of phantoms and to analyze the correlation between the monitored values of the Catalyst HD system and couch values.Results:There was a significant linear negative correlation between the gain and the logarithm of integration time required for monitoring using the Catalyst HD system, with a slope of -0.001. There was a certain functional relationship between the intercept and the ratio of the transverse to longitudinal dimensions of the phantoms. Under the same gain, the integration time decreased with an increase in the base angles of phantoms. The Catalyst HD system showed different monitoring accuracy under different placement conditions of the phantoms ( Z = -8.59 to -0.02, P < 0.05), with the monitoring accuracy in the LR and AP directions higher in the transverse position. The correlation between the monitored values of the Catalyst HD system and the actual couch values increased in the LR and SI directions with an increase in the base angle of the phantoms, showing a strong correlation in the case of base angles of ≥ 25°. Furthermore, the correlation was always significant in the AP direction ( R > 0.9). Conclusions:When the best surface images are obtained using the Catalyst HD system, the gains and integration time of the system are correlated with body surface contours. The Catalyst HD system shows high monitoring accuracy in the AP direction. This system shows high accuracy in all directions when the ratios of transverse to longitudinal dimensions are ≤ 2 or the base angles ≥ 25°.