临床药师在导管接触性溶栓联合抗凝治疗急性下肢深静脉血栓的用药分析与药学监护中的作用

目的 探讨临床药师在急性下肢深静脉血栓患者个体化治疗中的作用。 方法 对南京鼓楼医院血管外科2018年8月收治的8例急性下肢深静脉血栓患者的治疗过程进行分析，结合临床药学知识制定导管接触性溶栓及抗凝用药方案，对患者实施全程药学监护。 结果 溶栓治疗期间，患者血浆纤维蛋白原水平呈明显下降趋势，血浆D-二聚体水平呈先升高后降低的趋势，血小板未见明显下降趋势；8例患者在溶栓治疗过程中，2例出现轻微牙龈出血后自行止血，1例出现血尿，停止溶栓治疗后改为口服抗凝药，血尿现象消失。患者预后改善明显，血栓完全溶解，静脉恢复畅通，用药安全得到有效保障。 结论 临床药师在导管接触性溶栓联合抗凝治疗急性下肢深静脉血栓患者的个体化用药监护方面发挥了积极作用。     

儿童外科教学方法实践及探讨

目的探讨儿童外科的教学特点及教学方法,提高儿外科医生的总体执业水平,促进儿童外科学的发展。方法通过分析四川大学华西医院多年儿童外科疾病的临床教学实践经验,总结出适合医学生、初级儿童外科专科医生的实用的教学方法及经验。结果结合儿童外科特有的疾病特点所总结出的故事式讲述教学、典型病例教学、漫画形式学习、比较学习法及多媒体素材教学五种方式是非常适合儿童外科教学的方法。能够加深记忆,提高兴趣,轻松快捷,事半功倍的掌握相关医学专业知识。结论独特有趣的儿童外科教学方法可提高医学生及儿童外科初级从业者的学习兴趣、专业知识和执业水平。     

Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis

Previous structural and functional neuroimaging studies have implicated distributed brain regions and networks in depression. However, there are no robust imaging biomarkers that are specific to depression, which may be due to clinical heterogeneity and neurobiological complexity. A dimensional approach and fusion of imaging modalities may yield a more coherent view of the neuronal correlates of depression. We used linked independent component analysis to fuse cortical macrostructure (thickness, area, gray matter density), white matter diffusion properties and resting‐state functional magnetic resonance imaging default mode network amplitude in patients with a history of depression (n = 170) and controls (n = 71). We used univariate and machine learning approaches to assess the relationship between age, sex, case–control status, and symptom loads for depression and anxiety with the resulting brain components. Univariate analyses revealed strong associations between age and sex with mainly global but also regional specific brain components, with varying degrees of multimodal involvement. In contrast, there were no significant associations with case–control status, nor symptom loads for depression and anxiety with the brain components, nor any interaction effects with age and sex. Machine learning revealed low model performance for classifying patients from controls and predicting symptom loads for depression and anxiety, but high age prediction accuracy. Multimodal fusion of brain imaging data alone may not be sufficient for dissecting the clinical and neurobiological heterogeneity of depression. Precise clinical stratification and methods for brain phenotyping at the individual level based on large training samples may be needed to parse the neuroanatomy of depression.     

Building and Exploitation of Learning Curves to Train Radiographer Students in X-Ray CT Image Postprocessing

IntroductionThis study aims to construct learning curves related to the realization of standardized postprocessing by radiographer students and to discuss their exploitation and interest.Materials and MethodsThis study was carried out in 21 French students in their 3rd year of training. Two postprocessing protocols in CT (#1 traumatic shoulder; #2 petrous bone) were repeated 15 times by each student. Each achievement was timed to obtain overall learning curves. The realization accuracy was also assessed for each student at each repetition.ResultsThe learning rates for the two protocols are 63% and 56%, respectively. The number of repetitions to reach the reference time for each protocol is 11 and 12, respectively. In both protocols, the standard deviations are significantly reduced and stabilized during repetitions. The mean accuracy progresses more quickly in protocol #1.DiscussionThe measured learning rates reflect a rapid learning process for each protocol. The analysis of the standard deviations shows that students have reached a homogeneous level. The average times and accuracies measured during the last repetitions show that the group has reached a high level of performance. Building learning curves helps students measure their progress and motivates them.ConclusionObtaining learning curves allows trainers/supervisors to qualify the learning difficulty of a task while motivating students/radiographers. The use of learning curves is inline with the competency-based training paradigm.     

以临床胜任力为导向的CBL在急危重症护理本科教学中的实践

目的　探讨临床胜任力为导向的病例教学（case-based learning，CBL）在急危重症护理学本科教学中的可行性和有效性。方法　将急危重症护理本科生120人随机分为CBL教学组和传统教学组。根据每次实习学生人数，CBL教学组分为数个小组，每小组固定一个带教教师，并以小组为单位进行临床教学实践；传统教学组采用既往的临床实习教学方式，即一个学生固定跟随一个带教教师。采用理论考试、技能考试以及问卷调查等多种考核方式评价两组的教学效果，采用SPSS 21.0软件行t检验和卡方检验。结果　与传统教学组相比，CBL教学组在理论考试[（92.5±3.0） vs. （85.3±3.3）]和技能考试[（93.1±4.5） vs. （88.1±3.4）]方面均更好，且差异有统计学意义（P<0.05）；在对教学满意度调查方面，CBL教学组优于传统教学组。结论　以临床胜任力为导向的CBL教学应用于急危重症护理本科教学是可行的，能有效培养学生的临床思维和提高实际的临床胜任力。     

新型管理模式在护理实习教学管理中的应用探讨

目的探讨在进行护理实习教学管理期间新型管理模式应用可行性。方法选择我院2018年1月-2019年2月102例实习护生作为试验对象;数字奇偶法分组后探究每组教学管理模式;对照组(51名):选择传统护理教学管理模式展开;试验组(51名):选择新型护理教学管理模式展开;比较两组护实习护生行为规范合格率、平均业务学习出勤率以及教学满意度评分结果。结果试验组实习护生规范合格率(98.04%)高于对照组(64.71%)(P<0.05);试验组实习护生平均业务学习出勤率(98.04%)高于对照组(62.75%)(P<0.05);试验组实习护生各项教学满意度评分均高于对照组(P<0.05)。结论医院实习护生在接受新型护理实习教学管理后,对于规范合格率的提升,平均业务学习出勤率的提升以及教学满意度评分的提升,均获得显著效果,最终为医院实习护生的学习效率以及护理安全提升奠定了基础。     

PBL与思维导图相结合教学模式在临床教学中的应用

目的探讨PBL与思维导图相结合教学模式在临床教学中的应用。方法本文研究对象为在我院见习的临床本科生,为大理大学2015级一个班级,共55名学生,数据收集时间为2019年1月;按照授课方式的差异将学生分为实验班与对照班,实验班27名学生,对照班28名学生;对照班实施常规教学法,实验班实施PBL与思维导图相结合教学法。结果实验班教学结束测试得分为(85.60±3.46)分,对照班教学结束测试得分为(77.48±3.12)分,差异具有统计学意义(P<0.05);实验班教学方式满意度评分为(90.35±4.12)分,对照班教学方式满意度评分为(80.25±4.05)分,差异具有统计学意义(P<0.05)。结论在临床教学中采用PBL与思维导图相结合教学模式,能够提高学生的专业知识掌握水平与对教学模式的认可度。