OBJECTIVE:To investigate the utilization of antineoplastic drugs and adjuvant drugs in our hospital. METHODS: By a retrospective review, the consumption quantity, consumption sum, and constituent ratio of antineoplastic drugs and adjuvant drugs used in our hospital from 2005 to 2008 were analyzed statistically. RESULTS: The consumption of antineoplastic drugs and assistant drugs had dominated the front places from 2005 to 2008, representing 25.91%, 28.16%, 31.16% and 33.00%, respectively of the total western drugs in terms of consumption sum, assuming a year-on-year increase tendency over the 4 years. Injections took a higher proportion, making up for 75.40%, 79.80%, 80.50% and 78.12%, respectively over the 4 years. The application of antineoplastic drugs and assistant drugs from domestic manufacturers assumed a predominant place. CONCLUSION: It is still necessary to standardize the use of antineoplastic drugs and assistant drugs in our hospital so as to ensure their safety, effectiveness and economy in clinical medication.

OBJECTIVE:To establish the method for simultaneous determination of 6 components in Lonicera japonica,and to study the content changes of them before and after before and after carbonized. METHODS:UPLC method was adopted. The deter-mination was performed on Agilent Eclipse Plus C18 RRHD column with mobile phase consisting of 0.1% phosphoric acid solu-tion-acetonitrile(gradient elution)at the flow rate of 0.2 mL /min. The detection wavelength was set at 350 nm,and column tem-perature was 25 ℃. The sample size was 1 μL. RESULTS:The linear ranges of chlorogenic acid,rutin,galuteolin,isochlorogenic acid A,isochlorogenic acid B and isochlorogenic acid C were 21.2-424 μg(r=0.9993),1.17-23 μg(r=0.9995),2.18-43 μg(r=0.9998),5.10-102 μg(r=0.9993),2.60-52 μg(r=0.9991),4.95-99 μg(r=0.9998),respectively. RSDs of precision,stability and repeatability tests were all lower than 2.0%. Recoveries were 97.11%-99.76%(RSD=1.20%,n=6),95.20%-99.90%(RSD=2.20%,n=6),95.71%-100.30%(RSD=2.20%,n=6),95.00%-96.98%(RSD=0.88%,n=6),96.47%-103.00%(RSD=2.40%, n=6),95.78%-103.80%(RSD=3.20%,n=6). Compared with before processing,the contents of rutin,isochlorogenic acid B and isochlorogenic acid C in L. japonica were increased along with processing,the contents of chlorogenic acid and isochlorogenic acid A were decreased significantly,while the content of galuteolin had no significant change. CONCLUSIONS:The method is sim-ple,precise,stable and repeatable,and can be used for simultaneous determination of 6 components in L. japonica. Those chemi-cal components have certain changes before and after carbonized.

Objective To explore the impact of WeChat-assisted follow-up on self-administer medication capability of stroke survivors.Methods Seventy patients were recruited from a tertiary hospital and randomly divided into intervention group (n=35) and control group (n=35).Patients in intervention group were given WeChat-assisted follow-up including health education program and behavior guidance,and patients in control group received regular discharge care.The effects of WeChat-assisted follow-up and regular care on self-administer medication ability,cognitive and behavior level were assessed.Results After three months' follow-up,the scores of self-administer medication capability (38 (32,42)),experience (25 (20,28) and the integral level (87 (71,92)) in intervention group were significantly higher than those in control group (capability 25(16,38),experience 21 (8.75,27),total score 68 (38,87)) (Z=-2.511,-2.033,-2.209,P＜0.05).The self-administer medication experience,cognitive,capability and total scores increased significantly in intervention group after intervention(Z=-4.525,-4.610,-3.806,-4.718,all P＜ 0.01),while only the cognitive level increased slightly in control group (18 (10,24) vs 13 (11,18),Z =-1.794,P=0.073).Conclusions Follow-up intervention based on WeChat platform can improve the stroke patients' self-administration medication capability,however,the long-term effects on cognitive level and further reform need to be strengthened.

Objective To investigate the influencing factors of facial pressure injury related to ventilation in prone positioning in children with severe pneumonia and to construct a nomogram predic-tion model.Methods A total of 158 children with severe pneumonia who underwent prone positioning ventilation were selected as research subjects.Clinical data were collected,and the children were di-vided into injury group(31 cases)and non-injury group(127 cases)based on whether facial pressure injury occurred.Univariate and multivariate Logistic regression analysis were used to explore the influ-encing factors of facial pressure injury related to prone positioning ventilation in children with severe pneumonia;the receiver operating characteristic(ROC)curve,consistency index,and Hosmer-Leme-show goodness-of-fit test were used to evaluate the predictive efficiency of the nomogram model for facial pressure injury related to prone positioning ventilation in children with severe pneumonia.Results Un-ivariate analysis showed that the proportion of children aged＜3 years,the proportion of those with complications,ventilation time in prone positioning,the proportions of children with sedative drugs and poor nutritional status,no decompression dressings,and the proportions of children without prone posi-tioning ventilation training for medical staff in the injury group were higher or longer than that in the non-injury group(P＜0.05).Multivariate Logistic regression analysis showed that age＜3 years,presence of complications,longer prone positioning ventilation time,no decompression dressings,and lack of prone positioning ventilation training for medical staff were independent risk factors for facial pressure injury related to prone positioning ventilation in children with severe pneumonia(P＜0.05),and a nomogram prediction model was constructed based on these factors.The consistency index of the nomogram model was 0.940,and the area under the ROC curve was 0.978(95％CI,0.958 to 0.999).The calibration curve of predicting facial pressure injury related to prone positio-ning ventilation in children with severe pneumonia approached the ideal curve,and the Hosmer-Lemeshow goodness-of-fit test showed good fitting(x2=12.416,P＜0.05).Conclusion The no-mogram prediction model constructed based on 5 independent risk factors in this study has high risk identification ability and can early identify high-risk children with facial pressure injury related to prone positioning ventilation in severe pneumonia.

Objective:To review and summarize the best evidence of prevention and control measures of carbapenem-resistant Enterobacteriaceae (CRE) hospital infection, and provide evidence-based reference for health care workers to prevent and control CRE infection. Methods:A literature search strategy was developed to systematically search BMJ Best Clinical Practice, UpToDate, the World Health Organization, the Centers for Disease Control and Prevention website, the European Centers for Disease Control and Prevention website, the International Guidelines Collaboration website, the National Practice Technical Guidelines Library of the United States, the National Institute of Health and Clinical Optimization in the United Kingdom, the Ontario Medical Association of Canada, Maimai Tong, Cochrane Library, Australian Joanna Briggs Institute Evidence-Based Health Care Center database, PubMed, Web of Science, China National Knowledge Network, Wanfang database, VIP database, Chinese Biomedical Literature database of evidence related to the prevention and control of CRE hospital infection. The search period was from January 1, 2018 to October 1, 2023. The literature quality was evaluated independently by two research members, and evidence extraction and synthesis were carried out for the included literature.Results:A total of 10 articles were included, including 6 guidelines, 3 expert consensus articles, and 1 systematic review. 29 best evidences were formed from 6 aspects: preventive monitoring, active screening, contact isolation, environmental cleaning and disinfection, bacterial colonization, and hand hygiene measures.Conclusions:This study summarized the best evidence on the prevention and control measures of CRE infection in hospitals. Clinical staff and management departments should take active and effective prevention and control measures based on the local CRE epidemiological situation and resource requirements to reduce the risk of CRE infection.

Objective To explore the influencing factors of dwarfism in children and construct a nomogram model.Methods From June 2020 to December 2022,1,500 children were selected as the research objects,and 1,422 cases were effectively investigated.According to incidence of dwarf-ism,the children were divided into normal group(n=1,351)and dwarfism group(n=71).Univa-riate and multivariate Logistic regression analyses were used to explore the influencing factors of dwarf-ism in children;the R software was used to construct a nomogram model for prediction of the occurrence of dwarfism in children,and the receiver operating characteristic(ROC)curve and calibration curve were used to evaluate the discrimination and consistency of the nomogram model.Results Among the 1 422 children,71 cases had dwarfism,with an incidence rate of 4.99％.Multivariate Logistic re-gression analysis showed that birth weight,family history of dwarfism,milk intake and physical exer-cise were the influencing factors for the occurrence of dwarfism in children(P＜0.05).The area un-der the curve of the ROC curve predicted by the nomogram model for the occurrence of dwarfism in children was 0.897(95％CI,0.856 to 0.938),with good discrimination;the calibration curve slope of the nomogram model for predicting the occurrence of dwarfism in children approached 1,and the Hosmer-Lemeshow goodness of fit test showed that the was 5.020 and P was 0.740,indicating good consistency.Conclusion The nomogram model for predicting the occurrence of dwarfism in children based on four influencing factors of birth weight,family history of dwarfism,milk intake and physical exercise has good discrimination and consistency,which can provide reference for the devel-opment of personalized intervention measures in clinical practice.

Objective To explore the influencing factors of dwarfism in children and construct a nomogram model.Methods From June 2020 to December 2022,1,500 children were selected as the research objects,and 1,422 cases were effectively investigated.According to incidence of dwarf-ism,the children were divided into normal group(n=1,351)and dwarfism group(n=71).Univa-riate and multivariate Logistic regression analyses were used to explore the influencing factors of dwarf-ism in children;the R software was used to construct a nomogram model for prediction of the occurrence of dwarfism in children,and the receiver operating characteristic(ROC)curve and calibration curve were used to evaluate the discrimination and consistency of the nomogram model.Results Among the 1 422 children,71 cases had dwarfism,with an incidence rate of 4.99％.Multivariate Logistic re-gression analysis showed that birth weight,family history of dwarfism,milk intake and physical exer-cise were the influencing factors for the occurrence of dwarfism in children(P＜0.05).The area un-der the curve of the ROC curve predicted by the nomogram model for the occurrence of dwarfism in children was 0.897(95％CI,0.856 to 0.938),with good discrimination;the calibration curve slope of the nomogram model for predicting the occurrence of dwarfism in children approached 1,and the Hosmer-Lemeshow goodness of fit test showed that the was 5.020 and P was 0.740,indicating good consistency.Conclusion The nomogram model for predicting the occurrence of dwarfism in children based on four influencing factors of birth weight,family history of dwarfism,milk intake and physical exercise has good discrimination and consistency,which can provide reference for the devel-opment of personalized intervention measures in clinical practice.

Objective To investigate the influencing factors of facial pressure injury related to ventilation in prone positioning in children with severe pneumonia and to construct a nomogram predic-tion model.Methods A total of 158 children with severe pneumonia who underwent prone positioning ventilation were selected as research subjects.Clinical data were collected,and the children were di-vided into injury group(31 cases)and non-injury group(127 cases)based on whether facial pressure injury occurred.Univariate and multivariate Logistic regression analysis were used to explore the influ-encing factors of facial pressure injury related to prone positioning ventilation in children with severe pneumonia;the receiver operating characteristic(ROC)curve,consistency index,and Hosmer-Leme-show goodness-of-fit test were used to evaluate the predictive efficiency of the nomogram model for facial pressure injury related to prone positioning ventilation in children with severe pneumonia.Results Un-ivariate analysis showed that the proportion of children aged＜3 years,the proportion of those with complications,ventilation time in prone positioning,the proportions of children with sedative drugs and poor nutritional status,no decompression dressings,and the proportions of children without prone posi-tioning ventilation training for medical staff in the injury group were higher or longer than that in the non-injury group(P＜0.05).Multivariate Logistic regression analysis showed that age＜3 years,presence of complications,longer prone positioning ventilation time,no decompression dressings,and lack of prone positioning ventilation training for medical staff were independent risk factors for facial pressure injury related to prone positioning ventilation in children with severe pneumonia(P＜0.05),and a nomogram prediction model was constructed based on these factors.The consistency index of the nomogram model was 0.940,and the area under the ROC curve was 0.978(95％CI,0.958 to 0.999).The calibration curve of predicting facial pressure injury related to prone positio-ning ventilation in children with severe pneumonia approached the ideal curve,and the Hosmer-Lemeshow goodness-of-fit test showed good fitting(x2=12.416,P＜0.05).Conclusion The no-mogram prediction model constructed based on 5 independent risk factors in this study has high risk identification ability and can early identify high-risk children with facial pressure injury related to prone positioning ventilation in severe pneumonia.

Objective:To summarize emergency rescue capacity evaluation tools for community nurses.Methods:China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, PubMed, Embase, CINAHL, Web of Science core collection, and other databases were searched by computer, and the search period was from the establishment of the databases to April 23, 2023. The relevant contents of emergency rescue capacity evaluation tools for community nurses were extracted and analyzed.Results:A total of 16 articles were included, involving seven kinds of emergency rescue capacity assessment tools for community nurses. The evaluation methods of the tools were all self-evaluation. The evaluation mainly involved the ability of nurses in four stages of emergency rescue prevention, preparation, response, and recovery.Conclusions:There are limitations in the evaluation content, method, and application effect of the emergency rescue capacity evaluation tools for community nurses. In the future, it is still necessary to develop or introduce foreign emergency rescue capacity evaluation tools with comprehensive evaluation content and good reliability and validity.

Objective:To compare the image quality, radiation dose, and total iodine content of abdominal computed tomography (CT) enhancement scanning of overweight and obese patients with different scanning protocols, and to explore the optimal keV image serial for abdominal CT.Methods:A total of 90 overweight or obese patients [24 kg/m 2 ≤ body mass index (BMI) < 28 kg/m 2 or BMI ≥ 28 kg/m 2] were divied into groups A, B and C, with 30 patients in each group. Group A used Gemstone spectral imaging (GSI) mode and contrast medium with 320 mg I/ml, group B used low tube voltage mode (100 kVp) and contrast medium with 370 mg I/ml, and group C used conventional tube voltage mode (120 kVp) and contrast medium with 370 mg I/ml. Monochromatic energy images at 50-70 keV (5 keV interval) were reconstructed for the arterial and portal vein phases of group A. Radiation dose and total iodine content were recorded and calculated for the 3 groups. The region of interest was placed on the organ, blood vessel, and erector spinae muscle at same level. The CT values and image noise values were measured, and the contrast-to-noise ratio (CNR) was calculated. All images were scored subjectively in double-blinded by two radiologists. One-way analysis of variance or Kruskal-Wallis H test were used to compare The CT values, CNRs, and subjective scores of each subgroup image in group A, group B and group C, and the radiation doses and total iodine contents in 3 groups were compared. The optimal keV value for group A was selected. Results:At 50-60 keV, the CT values and CNRs of arterial and portal vein phases in group A were higher ( P < 0.05) than or similar to those in groups B and C ( P > 0.05), and the subjective scores were lower than those of groups B and C at 50 and 55 keV ( H = 34.47, 41.27, P < 0.05), whereas there was no statistically significant difference at 60 keV ( P > 0.05). At 65 and 70 keV, only the CT value and CNR of the renal cortex in group A at the 65 keV of arterial phase were higher than those in groups B and C ( F = 102.38, 29.47, P < 0.001). The subjective scores were not significantly between groups B and C ( P > 0.05). There were no statistically significant difference between CT values, CNRs, or subjective scores in group B and group C ( P > 0.05). The effective doses in groups A and B were 24.72% and 25.78% lower than those in group C, respectively. Compared to groups B and C, the total iodine content in group A decreased by 12.50% and 13.34%, respectively. Conclusions:GSI model combined with a low-concentration contrast medium in abdominal CT for overweight and obese patients can meet the image quality requirements while reducing patient total iodine content and radiation dose. The optimal keV value of enhanced abdominal CT for double phases was 60 keV.