我国日间手术开展现状与前景展望

日间手术在国外已有上百年的发展历史，现已成为欧美国家重要手术模式。我国于20世纪初开始开展日间手术，但目前尚未普及，发展不平衡问题比较突出，存在认识不清、开展不规范、与医保支付对接不畅等问题。日间手术是一种使国家、医院和病人三方均受益的新型手术模式。近年来，国家相关管理部门积极引导，开展日间手术的医院明显增多，可以预见，我国日间手术即将进入快速发展的新阶段。因此，有条件的医院可以从简单、易操作的病种开始，落实临床路径，积累经验，再逐步稳妥展开。在保证质量的前提下，不断拓展日间手术范围，提高三、四级手术比例。同时，积极与医保支付政策对接，采取灵活的方式，获得医保的支持，更好地促进我国日间手术的快速发展。     

丹青胶囊联合他扎罗汀倍他米松治疗银屑病的临床研究

目的 探讨丹青胶囊联合他扎罗汀倍他米松治疗银屑病的临床疗效.方法 选取2019年6月—2021年6月在天津市职业病防治院门诊皮肤科就诊治疗的114例银屑病患者,根据随机数字法分为对照组和治疗组,每组各57例.对照组患者给予他扎罗汀倍他米松乳膏,洗净患处,待皮肤干爽后,将适量本品均匀涂抹于患处,1次/d.治疗组患者在对照组治疗基础上口服丹青胶囊,4粒/次,3次/d.两组患者均连续治疗7 d.观察两组患者的临床疗效和临床症状好转时间,比较两组治疗前与治疗1、4、8周的皮损面积和严重程度指数(PASI)评分和血清炎性因子水平.结果 治疗后,治疗组总有效率是98.25％,显著高于对照组的82.46％(P<0.05).治疗后,治疗组患者皮损暗红、皮损肥厚、皮肤瘙痒、皮肤疼痛等症状好转时间均显著短于对照组(P<0.05).治疗后,两组PASI评分均较治疗前显著降低(P<0.05);治疗1、4、8周治疗组PASI评分显著低于对照组(P<0.05).治疗后,两组患者血清炎性因子白细胞介素6(IL-6)、白细胞介素17(IL-17)、肿瘤坏死因子α(TNF-α)、干扰素-γ(IFN-γ)水平均较治疗前显著降低(P<0.05);治疗后,治疗组血清炎性因子水平显著低于对照组(P<0.05).结论 丹青胶囊联合他扎罗汀倍他米松治疗银屑病效果明显,能显著降低炎性因子水平,并有助于改善皮损情况,值得临床推广应用.     

不同手术方法治疗复杂胫骨平台骨折临床疗效观察

目的探讨不同手术方法治疗复杂胫骨平台骨折临床疗效。方法选择2016年1月—2018年12月84例复杂胫骨平台骨折患者,随机分组。单侧锁定钢板内固定组选择单侧锁定钢板内固定手术,双侧切口双侧解剖钢板内固定组选择双侧切口双侧解剖钢板内固定。分析手术操作时间、手术失血、平均住院天数以及复杂胫骨平台骨折愈合时间;治疗前后患者视觉模拟评分和Rasmussen膝关节功能评分;膝关节僵硬发生率。结果双侧切口双侧解剖钢板内固定组视觉模拟评分和Rasmussen膝关节功能评分、手术操作时间、手术失血、平均住院天数以及复杂胫骨平台骨折愈合时间、膝关节僵硬发生率和单侧锁定钢板内固定组比较有优势,P<0.05。结论复杂胫骨平台骨折患者实施双侧切口双侧解剖钢板内固定可获得较好效果。     

临床抗青光眼药物的新进展

青光眼是致盲的主要原因之一，构成视神经的神经节细胞轴突受到多种因素的损伤，其机制尚未完全明了。青光眼最重要的危险因素是眼压升高。由于青光眼的视神经损伤尚不能直接治疗，根据目前提供的唯一已知可治疗的危险因素，可以降低升高的眼压，而眼压与房水流出通道的功能息息相关。这些方面的药物均可以影响青光眼的进展。随着医疗技术的发展以及对青光眼发病机制认识的加深，新型抗青光眼药物也应运而生，为眼科医师提供新的选择。本文将对国内外新型抗青光眼药物从机制、药理特点及临床疗效等方面进行综述。     

Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters

BackgroundParkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms monitoring of PD is still mainly based on clinical evaluation, which includes several subjective factors. The use of machine learning (ML) algorithms in spatial-temporal gait parameters is an interesting advance with easy interpretation and objective factors that may assist in PD diagnostic and follow up.Research questionThis article studies ML algorithms for: i) distinguish people with PD vs. matched-healthy individuals; and ii) to discriminate PD stages, based on selected spatial-temporal parameters, including variability and asymmetry.MethodsGait data acquired from 63 people with PD with different levels of PD motor symptoms severity, and 63 matched-control group individuals, during self-selected walking speed, was study in the experiments.ResultsIn the PD diagnosis, a classification accuracy of 84.6 %, with a precision of 0.923 and a recall of 0.800, was achieved by the Naïve Bayes algorithm. We found four significant gait features in PD diagnosis: step length, velocity and width, and step width variability. As to the PD stage identification, the Random Forest outperformed the other studied ML algorithms, by reaching an Area Under the ROC curve of 0.786. We found two relevant gait features in identifying the PD stage: stride width variability and step double support time variability.SignificanceThe results showed that the studied ML algorithms have potential both to PD diagnosis and stage identification by analysing gait parameters.     

From the "what" to the "how": Teaching integrative medicine-related skills to medical students during COVID-19

ObjectiveTo examine the impact of an integrative medicine (IM) course on self-perceived IM-related communication and research skills.MethodsA 3-day mandatory "hybrid" (online and in-person) IM course was held within COVID-19 restrictions for 161 pre-clerkship medical students, with workshops facilitated by mentor healthcare professionals (IM and non-IM) and student-directed tasks. Self-perceived levels of 6 IM-related skills were scored (from 1 to 5) for history-taking; communicating with patients with "alternative" health-beliefs; referral to IM consultations; assessing risks/benefits; and working with non-medical IM practitioners.Results137 students (85.1%) completed pre-/post-course questionnaires, with overall scores improving from pre-course (1.98 ± 0.92) to post-course (3.31 ± 0.63; p < 0.0001), for the entire group and student subgroups (with vs. without prior IM experience). Multivariate analysis found no association between age, gender, primary language or prior experience with IM and improvement in skill scores.ConclusionsThe IM course increased self-perceived skill levels, reflecting the course curriculum and workshops. Further research needs to explore the application of these skills during clinical training.Practice implicationsTeaching medical students about IM in a course comprising communication and research skills was shown to be feasible and effective. The application of IM-related skills needs to be evaluated during the clinical clerkship.     

Motivation for participating in phase 1 vaccine trials: Comparison of an influenza and an Ebola randomized controlled trial

Introduction/Hypothesis

Recruitment of participants into phase 1 vaccine clinical trials can be challenging since these vaccines have not been used in humans and there is no perceived benefit to the participant. Occasionally, as was the case with a phase 1 clinical trial of an Ebola vaccine in Halifax, Canada, during the 2014–2016 West African Ebola virus outbreak, recruitment is less difficult. In this study, we explored the motivations of participants in two phase 1 vaccine trials that were concurrently enrolling at the same centre and compared the motivations of participants in a high-profile phase 1 Ebola vaccine trial to those in a less high-profile phase 1 adjuvanted seasonal influenza vaccine study.