Design and validation of a virtual reality trainer for ultrasound-guided regional anaesthesia

Virtual reality is a form of high-fidelity simulation that may be used to enhance the quality of medical education. We created a bespoke virtual reality trainer software using high resolution motion capture and ultrasound imagery to teach cognitive-motor needling skills necessary for the performance of ultrasound-guided regional anaesthesia. The primary objective of this study was to determine the construct validity between novice and experienced regional anaesthetists. Secondary objectives were: to create learning curves for needling performance; compare the virtual environment immersion with other high-fidelity virtual reality software; and compare cognitive task loads imposed by the virtual trainer compared with real-life medical procedures. We recruited 21 novice and 15 experienced participants, each of whom performed 40 needling attempts on four different virtual nerve targets. Performance scores for each attempt were calculated based on measured metrics (needle angulation, withdrawals, time taken) and compared between the groups. The degree of virtual reality immersion was measured using the Presence Questionnaire, and cognitive burden was measured using the NASA-Task Load Index. Scores by experienced participants were significantly higher than novices (p = 0.002) and for each nerve target (84% vs. 77%, p = 0.002; 86% vs. 79%, p = 0.003; 87% vs. 81%, p = 0.002; 87% vs. 80%, p = 0.003). Log–log transformed learning curves demonstrated individual variability in performance over time. The virtual reality trainer was rated as being comparably immersive to other high-fidelity virtual reality software in the realism, possibility to act and quality of interface subscales (all p > 0.06) but not in the possibility to examine and self-performance subscales (all p < 0.009). The virtual reality trainer created workloads similar to those reported in real-life procedural medicine (p = 0.53). This study achieved initial validation of our new virtual reality trainer and allows progression to a planned definitive trial that will compare the effectiveness of virtual reality training on real-life regional anaesthesia performance.     

Preliminary study on blood coagulation and hemostatic effect and acute toxicity of Oxalis corniculata L. ethanol extract

In the present study, we aimed to observe the effects of ethanol extract of Oxalis corniculata L. on bleeding time (BT) and coagulation time (CT) and determine its acute toxicity in mice. Firstly, the ethanol extract of O. corniculata was administered to 40 mice, which were randomly divided into the normal control group, Yunnan Baiyao control group, low-dose group, and high-dose group. The low-dose (0.6 g/kg) and high-dose (1.2 g/kg) groups received ethanol extract of O. corniculata by gavage, and the BT and CT of the mice were measured by the slide method and tail clipping method, respectively. Secondly, the median lethal dose method was used with 50 mice to observe the physiological state, poisoning reaction, and death of the mice after intragastric administration. Finally, on the 14th day of the experiment, a necropsy was performed to observe any abnormality of the organs. In conclusion, in the coagulation and hemostasis tests, there were no statistical differences between the groups (P > 0.05), while there was a significant dose-response relationship, and the BT and CT were significantly shorter than those of the negative control group, which were comparable to the Yunnan Baiyao control group. Moreover, in the acute toxicity test, the median lethal dose of ethanol extract of O. corniculata was 6.0291 g/kg, with a 95% confidence interval of 5.3065–6.7829 mg/kg.     

Anästhesiologisches Management bei operativen Eingriffen am Thorax – eine Auswertung aus dem Deutschen Thoraxregister

Die Anaesthesiologie - Während zahlreiche Kliniken in Deutschland thoraxchirurgische Eingriffe durchführen, liegen bisher nur unzureichende Daten über die verwendeten...     

益气活血法联合西药治疗肺纤维化疗效及安全性Meta分析＊

目的 系统评价益气活血法联合西药治疗特发性肺纤维化（idiopathic pulmonary fibrosis，IPF）的疗效及安全性。方法 系统检索中国知网、维普网、万方数据库、EMbase、PubMed、Cochrane Library图书馆等数据库，检索时限从数据库建库至2021年1月，纳入益气活血法联合西药治疗特发性肺纤维化的随机对照试验（randomized controlled trial，RCT），由2名研究人员独立筛选并交叉核对纳入结果，提取有效数据后，应用RevMan 5.3软件进行Meta分析。结果 纳入16项随机对照试验共计1160例IPF患者。分析结果显示益气活血法联合西药组可提高临床总有效率（OR= 3.71，95% CI ［2.68，5.14］，P<0.00001）；改善患者肺功能：用力肺活量（MD=0.31，95% CI ［0.23，0.38］，P<0.00001）（MD=3.59，95% CI ［1.51，5.66］，P=0.0007），一氧化碳弥散量（MD=2.54，95% CI ［1.83，3.25］，P<0.00001）；提高生活质量，降低圣乔治评分：呼吸困难（MD=-12.70，95% CI ［-21.07，-4.32］，P=0.003），活动能力（MD=-8.38，95% CI ［-13.66，-3.10］，P=0.002），疾病影响（MD=-13.87，95% CI ［-22.53，-5.22］，P=0.002）；并可降低患者中医症状积分：喘息（MD=-0.66，95% CI ［-0.84，-0.49］，P<0.00001），咳嗽（MD=-0.71，95% CI ［-1.04，-0.37］，P<0.0001）；有效提高动脉血氧分压（MD=5.92，95% CI ［4.61，7.22］，P<0.00001）；且不增加不良事件发生率（OR=0.55，95% CI ［0.27，1.14］，P=0.11）。结论 益气活血法联合西药治疗IPF可提高临床治疗有效率，改善患者生活质量，且不增加临床不良事件（便秘、嗜睡、口干、恶心呕吐、皮肤瘙痒、腹泻等）发生率。但本研究纳入文献质量参差不齐，仍需更多大样本、高质量、多中心的RCT试验验证结论。     

基于网络药理学和实验验证研究柴胡疏肝散治疗慢性萎缩性胃炎的作用机制＊

目的 通过网络药理学的方法进行预测，再深一步进行动物实验验证来研究柴胡疏肝散治疗CAG的作用机制。方法 首先在TCMSP数据库中检索柴胡疏肝散的所有活性成分与药物靶点；通过收集PharmGkb、OMIM、GeneCards和DrugBank数据库中收录的慢性萎缩性胃炎的相关靶点。将药物靶点与疾病靶点进行映射筛选出交集靶点，将得到的交集靶点构建PPI网络与活性成分-共同靶点网络，并对其进行GO和KEGG富集分析。最后利用Vina软件进行分子对接实验验证，并通过免疫印迹法验证柴胡疏肝散对两种受体蛋白EGFR和STAT1的影响。结果 最终筛选得到柴胡疏肝散活性成分104个，潜在靶点238个，与慢性萎缩性胃炎的交集靶点52个；GO与KEGG富集分析分别得到2166条目和148条目，主要涉及到JAK-STAT信号通路、TNF信号通路、HIF-1信号通路等；分子对接结果显示EGFR、STAT1两个靶点能够与核心活性成分能够自发结合成较为稳定的构像；免疫印迹法实验证明柴胡疏肝散能够降低大鼠胃黏膜组织EGFR和STAT1蛋白表达。结论 通过网络药理学和实验验证，发现柴胡疏肝散可能通过调节EGFR和STAT1蛋白表达来共同调控胃黏膜细胞增殖与凋亡，进而发挥着治疗慢性萎缩性胃炎的效果，为深入进行柴胡疏肝散治疗慢性萎缩性胃炎的作用机制研究提供新思路和新方法。     

北京市三级甲等医院结直肠癌患者就医流向规律分析

目的 分析不同特征的结直肠癌患者就医行为选择在中医院（含中西医结合医院）、西医院及肿瘤专科医院间的差异，为合理引导结直肠癌患者适宜就医及制订相关政策提供依据。方法 收集北京地区2018年1月-2019年12月17家三级甲等医院21894例首诊结直肠癌成年住院患者的病案首页数据，采用EmpowerStats 2.0对数据进行描述性分析。结果 21894例结直肠癌患者中就诊于中医院的有862例（3.93%），西医院的有8723例（39.85%），肿瘤专科医院的有12309例（56.22%）。对于不同医疗机构，男性占比均大于女性，58-68岁患者占比最大。且结直肠癌患者年龄、医疗付款方式及肿瘤分期在不同医疗机构间的分布存在差异（P<0.001）。西医院及肿瘤专科医院结直肠癌Ⅲ期患者占比最大，而就诊于中医院患者中结直肠癌Ⅳ期最多。从地域分布来看，异地就诊比例（57.32%）大于本地，且就诊于肿瘤专科医院的患者中73.66%来自外地。患者来源前三名分别是北京市、河北省及内蒙古自治区。而在北京市内，西医院患者主要来源于朝阳区、海淀区及西城区，中医院患者主要来源于海淀区、朝阳区及丰台区，肿瘤专科医院则主要来源于朝阳区、海淀区及丰台区。结论 应大力倡导年轻以及早期结直肠癌患者向中医院分流，充分施展中医药在结直肠癌患者中的治疗优势；发挥三级医院带动作用，建立对口帮扶医院，减少不必要的跨省流动及提倡结直肠癌的早筛早治，以降低结直肠癌死亡率。     

New era for myelofibrosis treatment with novel agents beyond Janus kinase-inhibitor monotherapy: Focus on clinical development of BCL-XL/BCL-2 inhibition with navitoclax

Myelofibrosis is a heterogeneous myeloproliferative neoplasm characterized by chronic inflammation, progressive bone marrow failure, and hepatosplenic extramedullary hematopoiesis. Treatments like Janus kinase inhibitor monotherapy (e.g., ruxolitinib) provide significant spleen and symptom relief but demonstrate limited ability to lead to a durable disease modification. There is an urgent unmet medical need for treatments with a novel mechanism of action that can modify the underlying pathophysiology and affect the disease course of myelofibrosis. This review highlights the role of B-cell lymphoma (BCL) protein BCL-extra large (BCL-X_L) in disease pathogenesis and the potential role that navitoclax, a BCL-extra large/BCL-2 inhibitor, may have in myelofibrosis treatment.     

PREDICT-GTN 1: Can we improve the FIGO scoring system in gestational trophoblastic neoplasia?

Gestational trophoblastic neoplasia (GTN) patients are treated according to the eight-variable International Federation of Gynaecology and Obstetrics (FIGO) scoring system, that aims to predict first-line single-agent chemotherapy resistance. FIGO is imperfect with one-third of low-risk patients developing disease resistance to first-line single-agent chemotherapy. We aimed to generate simplified models that improve upon FIGO. Logistic regression (LR) and multilayer perceptron (MLP) modelling (n = 4191) generated six models (M1-6). M1, all eight FIGO variables (scored data); M2, all eight FIGO variables (scored and raw data); M3, nonimaging variables (scored data); M4, nonimaging variables (scored and raw data); M5, imaging variables (scored data); and M6, pretreatment hCG (raw data) + imaging variables (scored data). Performance was compared to FIGO using true and false positive rates, positive and negative predictive values, diagnostic odds ratio, receiver operating characteristic (ROC) curves, Bland-Altman calibration plots, decision curve analysis and contingency tables. M1-6 were calibrated and outperformed FIGO on true positive rate and positive predictive value. Using LR and MLP, M1, M2 and M4 generated small improvements to the ROC curve and decision curve analysis. M3, M5 and M6 matched FIGO or performed less well. Compared to FIGO, most (excluding LR M4 and MLP M5) had significant discordance in patient classification (McNemar's test P < .05); 55-112 undertreated, 46-206 overtreated. Statistical modelling yielded only small gains over FIGO performance, arising through recategorisation of treatment-resistant patients, with a significant proportion of under/overtreatment as the available data have been used a priori to allocate primary chemotherapy. Streamlining FIGO should now be the focus.