目标教学在手术室护理带教中的应用效果观察

目的观察目标教学在手术室护理带教中的应用效果。方法选取2018年9月—2019年6月期间,医院手术室的48名实习护士,随机分为对照组和试验组,每组各24例。对照组行传统护理带教方法,试验组行目标教学带教。对比带教后两组考核成绩及带教满意度。结果带教后,试验组职业防护意识、风险意识、无菌观念、常见小中手术配合熟练度、常见小中手术护理要点掌握、基本工作职责及流程掌握等评分与对照组差异具有统计学意义(P<0.05)。试验组专科操作、操作测评及理论测评成绩与对照组差异具有统计学意义(P<0.05)。结论于手术室护理带教中应用目标教学,具有理想效果,有助于提升考核成绩及专业技能。     

中药对癫痫相关信号通路调控作用的研究进展

癫痫是一种常见的神经系统疾病，其反复发作，迁延难愈，对患者的身心造成极大危害。抗癫痫药带来良好的治疗作用的同时也伴发着诸多身心损伤的不良反应。中医药治疗癫痫由来已久，目前除不断丰富传统中医理论治疗癫痫的认知理论外，从分子生物学角度研究中医药治疗癫痫的细胞信号传导机制发展迅速。通过对国内外文献检索发现，癫痫发生与细胞增殖、凋亡、自噬、炎症反应、免疫应答等病理生理过程密切相关；同时中西药的现代医学研究表明，无论是中药单体、单味中药甚至中药复方治疗癫痫的机制的研究均与文中所述信号通路有着直接或间接的关系，其可以通过调控相应信号通路的关键分子表达，达到抑制癫痫发生，控制癫痫发作，保护癫痫脑损伤的作用。该文通过对国内外研究现状进行总结，具体如下：①桔皮素，银杏内酯B等能通过激活磷脂酰肌醇3-激酶/蛋白激酶B（PI3K/Akt）信号通路，抑制凋亡及氧化应激反应。②黄芩苷，蛇床子素等能通过抑制哺乳动物-雷帕霉素靶蛋白（mTOR）信号通路，抑制自噬。③灵芝多糖，黄芪甲苷等能通过抑制丝裂原活化蛋白激酶（MAPK）信号通路，减少细胞凋亡。④红景天苷，白藜芦醇等能通过激活核因子E2相关因子2/抗氧化反应元件/血红素加氧酶1（Nrf2/ARE/HO-1）信号通路，抗氧化应激反应及抑制凋亡。⑤姜黄素，黄芩苷等能通过抑制核转录因子-κB（NF-κB）信号通路，降低炎症反应及减少凋亡。以上总结旨在为中药治疗癫痫的深入研究提供参考依据，也为临床中药治疗癫痫提供新的思路。     

多排螺旋CT诊断腹内疝的临床价值

目的研究分析腹内疝患者采用多排螺旋CT进行诊断的临床价值。方法将本院接收的32例腹内疝患者作为此次研究之中的观察主体,均通过手术证实,临床资料完整,均进行多排螺旋CT检查,对其诊断结果进行分析,对比CT与手术证实的符合率。结果多排螺旋CT确诊率高达90.63%,与手术证实结果无差异(P> 0.05);同时,通过多排螺旋CT检查,可清晰的观察到腹内疝相关征象,与手术证实结果高度一致,无显著差异(P> 0.05)。结论多排螺旋CT诊断技术能够较好的诊断腹内疝,且CT征象清晰,为临床有效诊治腹内疝提供了可靠指导,值得在临床中普及。     

Motor dysfunction in mild cognitive impairment as tested by kinematic analysis and transcranial magnetic stimulation

ObjectivePrevious studies have demonstrated voluntary movement alterations as well as motor cortex excitability and plasticity changes in patients with mild cognitive impairment (MCI). To investigate the pathophysiology of movement abnormalities in MCI, we tested possible relationships between movement abnormalities and primary motor cortex alterations in patients.MethodsFourteen amnestic MCI (aMCI) patients and 16 healthy controls were studied. Cognitive assessment was performed using clinical scales. Finger tapping was recorded by a motion analysis system. Transcranial magnetic stimulation was used to test the input/output curve of motor evoked potentials, intracortical inhibition, and short-latency afferent inhibition. Primary motor cortex plasticity was probed by theta burst stimulation. We investigated correlations between movement abnormalities, clinical scores, and cortical neurophysiological parameters.ResultsMCI patients showed less rhythmic movement but no other movement abnormalities. Cortical excitability measures were normal in patients, whereas plasticity was reduced. Movement rhythm abnormalities correlated with frontal dysfunction scores.ConclusionOur study in MCI patients demonstrated abnormal voluntary movement and plasticity changes, with no correlation between the two. Altered rhythm correlated with frontal dysfunction.SignificanceOur results contribute to the understanding of pathophysiological mechanisms of motor impairment in MCI.     

Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease

ObjectivesDespite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algorithm based on convolutional neural networks for interpreting nigrosome 1 SMwI for determining nigrostriatal degeneration in idiopathic Parkinson's disease (IPD).MethodsIn this retrospective study, we enrolled 267 IPD patients and 160 control subjects (125 patients with drug-induced parkinsonism and 35 healthy subjects) at our institute, and 24 IPD patients and 27 control subjects at three other institutes on approval of the local institutional review boards. Dopamine transporter imaging served as the reference standard for the presence or absence of abnormalities of nigrosome 1 on SMwI. Diagnostic performance was compared between visual assessment by an experienced neuroradiologist and the developed deep learning-based diagnostic algorithm in both internal and external datasets using a bootstrapping method with 10000 re-samples by the “pROC” package of R (version 1.16.2).ResultsThe area under the receiver operating characteristics curve (AUC) (95% confidence interval [CI]) per participant by the bootstrap method was not significantly different between visual assessment and the deep learning-based algorithm (internal validation, .9622 [0.8912–1.0000] versus 0.9534 [0.8779-0.9956], P = .1511; external validation, 0.9367 [0.8843-0.9802] versus 0.9208 [0.8634-0.9693], P = .6267), indicative of a comparable performance to visual assessment.ConclusionsOur deep learning-based algorithm for assessing abnormalities of nigrosome 1 on SMwI was found to have a comparable performance to that of an experienced neuroradiologist.     

Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography

BackgroundCompared with invasive fractional flow reserve (FFR), coronary CT angiography (cCTA) is limited in detecting hemodynamically relevant lesions. cCTA-based FFR (CT-FFR) is an approach to overcome this insufficiency by use of computational fluid dynamics. Applying recent innovations in computer science, a machine learning (ML) method for CT-FFR derivation was introduced and showed improved diagnostic performance compared to cCTA alone. We sought to investigate the influence of stenosis location in the coronary artery system on the performance of ML-CT-FFR in a large, multicenter cohort.MethodsThree hundred and thirty patients (75.2% male, median age 63 years) with 502 coronary artery stenoses were included in this substudy of the MACHINE (Machine Learning Based CT Angiography Derived FFR: A Multi-Center Registry) registry. Correlation of ML-CT-FFR with the invasive reference standard FFR was assessed and pooled diagnostic performance of ML-CT-FFR and cCTA was determined separately for the following stenosis locations: RCA, LAD, LCX, proximal, middle, and distal vessel segments.ResultsML-CT-FFR correlated well with invasive FFR across the different stenosis locations. Per-lesion analysis revealed improved diagnostic accuracy of ML-CT-FFR compared with conventional cCTA for stenoses in the RCA (71.8% [95% confidence interval, 63.0%–79.5%] vs. 54.8% [45.7%–63.8%]), LAD (79.3 [73.9–84.0] vs. 59.6 [53.5–65.6]), LCX (84.1 [76.0–90.3] vs. 63.7 [54.1–72.6]), proximal (81.5 [74.6–87.1] vs. 63.8 [55.9–71.2]), middle (81.2 [75.7–85.9] vs. 59.4 [53.0–65.6]) and distal stenosis location (67.4 [57.0–76.6] vs. 51.6 [41.1–62.0]).ConclusionIn a multicenter cohort with high disease prevalence, ML-CT-FFR offered improved diagnostic performance over cCTA for detecting hemodynamically relevant stenoses regardless of their location.     

医用退热贴冷敷治疗产后生理性乳房胀痛的效果观察

目的 比较医用退热贴冷敷及卷心菜叶外敷2种方法对缓解产后生理性乳房胀痛的疗效。方法 选取2018年3-12月在产科住院的产后生理性乳房胀痛的患者100例为研究对象,将其随机分为对照组和观察组,各50例。对照组采用卷心菜叶外敷,观察组采用医用退热贴冷敷。结果 观察组产后生理性胀痛乳房评分低于对照组(Z=-2.568,P=0.010),乳房硬度优于对照组(Z=-4.361,P<0.001),使用维持时间长于对照组(t=19.804,P＜0.001)。结论 医用退热贴冷敷用于产后生理性乳房胀痛效果理想,操作方法简单易行,实施方便,易被产妇接受,值得临床推广应用。