Objective To evaluate the relationship between newly developed depression after mild traumatic brain injury (mild-TBI)and abnormality on susceptibility-weighted imaging (SWI).Methods One hundred and eighty patients after mild-TBI,who had normal findings at conventional CT and MRI were enrolled in our study.All cases underwent conventional MRI and SWI.Ac-cording to SWI,the number and volume of microbleed lesions were calculated.All patients were followed up within 1 year after TBI,and divided into depressive group and non-depressive group based on SCID-IV.The difference in microbleed lesions on SWI was compared between the depressive group and non-depressive group.Results The incidence rate of microbleed on SWI in depres-sive group was higher than that in non-depressive group (P < 0.001 ).Among patients with microbleed lesions,the volume and number of lesions in depressive group were more than those in non-depressive group (P <0.001),and these differences were only found at the frontal,parietal and temporal lobes (P < 0.001 ).No significantly difference between depressive and non-depressive group was found in other areas (P >0.05).Conclusion SWI is useful to identify the microbleed lesions after mild TBI.The depres-sion after TBI is correlated with the location and distribution range of microbleed lesions.

Objective:To construct a multi-level extension model of big data technology platform,and to explore its application value in improving the quality of pediatric equipment management in hospitals.Methods:Based on the big data technology platform architecture,the whole process management design of pediatric equipment was carried out,and a multi-level extension model was constructed to monitor and evaluate the operation status of pediatric equipment in real time.The medical equipment in clinical use in the Department of Pediatrics of First Affiliated Hospital of PLA Air Force Medical University from 2022 to 2023 was selected,and 141 devices in clinical use from January to December 2022 were evaluated by post-experience evaluation method,and 153 devices in clinical use from January to December 2023 were evaluated by multi-level extension evaluation method.60 pediatric devices were randomly inspected under the two management methods respectively,and the pediatric device management level scores and equipment quality management ability scores of hospitals with different management methods were compared.The satisfaction of engineers,doctors,equipment managers and related department managers involved in equipment use management with different management methods were investigated by using a self-made questionnaire.Results:The average scores of pediatric equipment resource allocation,technical support,information basis and management benefit using the multi-level extension evaluation method were(92.36±4.65),(90.47±3.26),(91.56±3.36)and(93.26±3.68),respectively,which were higher than those of the post-experience evaluation method,the difference was statistically significant(t=17.495,18.551,19.705,17.208,P<0.05).The satisfaction scores of engineers,doctors,equipment managers and managers of relevant departments for pediatric equipment management using the multi-level extension evaluation method was(92.69±3.11)points,(93.62±4.95)points,(92.54±3.23)points and(94.57±4.69)points,respectively,which were higher than those of the post-experience evaluation method,the difference was statistically significant(t=12.526,10.215,14.852,11.644,P<0.05).The equipment completeness rate,timely maintenance rate and standard placement rate of the multi-level extension evaluation method were 96.67%(58/60),95%(57/60)and 95%(57/60),respectively,which were higher than those of the post-experience evaluation method,and the equipment failure rate was 3.33%(2/60),which was lower than that of the post-experience evaluation method,the difference was statistically significant(x2=11.582,12.987,14.249,11.580,P<0.05).Conclusion:The application of multi-level extension model of big data technology platform solves the complicated problem of redundant management of pediatric medical equipment,which can improve the accuracy of equipment quality management evaluation,improve the operation quality of pediatric equipment in hospitals,improve the equipment use safety,and reduce the equipment operation risk and adverse event incidence.

Objective:To explore the application value of scenario simulation teaching combined with two-way evaluation in standardized training of pediatric nursing.Methods:A total of 34 trainees who received standardized training of pediatric nursing in The First Affiliated Hospital of Air Force Medical University from March 2018 to March 2019 were selected as the control group, and another 42 trainees from April 2019 to July 2020 were selected as the study group. The control group used traditional teaching, and the study group used scenario simulation teaching combined with two-way evaluation. Theoretical examination and scenario simulation exercise examination were used to assess the theoretical knowledge and clinical practice ability of the trainees, and questionnaire survey was used to evaluate the satisfaction of the trainees with the teaching effect. SPSS 22.0 was used for t-test. Results:The scores of theoretical examination[(95.12±6.24) vs. (91.05±5.12)] and scenario simulation exercise examination (nursing practice skill operation ability, ability to combine theory and practice, clinical thinking and judgment ability, emergency handling ability, communication ability, humanistic care and professional learning ability, and work attitude) of the trainees in the study group were higher than those in the control group, and the differences were statistically significant ( P<0.05). The satisfaction evaluation of the trainees in the study group with the teaching effect was higher than that in the control group, and the difference was statistically significant ( P<0.001). Conclusion:Scenario simulation teaching combined with two-way evaluation can improve the theoretical knowledge, clinical practice ability, and teaching satisfaction of pediatric nursing trainees.