运动模式对变应性鼻炎影响的研究进展

变应性鼻炎（AR）对患者生活质量造成影响，干扰正常的工作、学习并加重经济负担，目前已成为全球性健康问题。目前认为AR是基因与环境相互作用的结果，由于运动所处的环境及运动模式的不同，对AR产生的影响也不同。耐力型室外陆地运动可增加人群AR的患病率，而游泳和室内陆地运动并不会增加人群AR的患病率，此外，耐力型室外陆地运动、速度与力量型室外陆地运动和冷空气环境中运动明确会加重AR患者的症状。而国内AR指南并未给出明确的运动指导。本文旨在介绍不同运动模式对AR症状及患病率的影响及其作用机制，进而对AR患者及健康人群提供运动指导。     

Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms

PurposeMachine-learning (ML) approaches have been repeatedly coupled with raw accelerometry to classify physical activity classes, but the features required to optimize their predictive performance are still unknown. Our aim was to identify appropriate combination of feature subsets and prediction algorithms for activity class prediction from hip-based raw acceleration data.MethodsThe hip-based raw acceleration data collected from 27 participants was split into training (70 %) and validation (30 %) subsets. A total of 206 time- (TD) and frequencydomain (FD) features were extracted from 6-second non-overlapping windows of the signal. Feature selection was done using seven filter-based, two wrapper-based, and one embedded algorithm, and classification was performed with artificial neural network (ANN), support vector machine (SVM), and random forest (RF). For every combination between the feature selection method and the classifiers, the most appropriate feature subsets were found and used for model training within the training set. These models were then validated with the left-out validation set.ResultsThe appropriate number of features for the ANN, SVM, and RF ranged from 20 to 45. Overall, the accuracy of all the three classifiers was higher when trained with feature subsets generated using filter-based methods compared with when they were trained with wrapper-based methods (range: 78.1 %–88 % vs. 66 %–83.5 %). TD features that reflect how signals vary around the mean, how they differ with one another, and how much and how often they change were more frequently selected via the feature selection methods.ConclusionsA subset of TD features from raw accelerometry could be sufficient for ML-based activity classification if properly selected from different axes.     

应用 σ度量对深圳市龙华区三家综合医院临床生化检验结果互认的评价研究

目的　探讨 σ度量在深圳市龙华区三家综合医院临床生化检验结果互认中的应用价值。方法　收集三家医院 2019年广东省临检中心常规化学，特殊蛋白前两次的室间质评（ EQA）样本，经混匀并分割成比对样本送至各评价实验室进行检测；以卫生部临检中心（ NCCL)标准和生物学变异导出的允许总误差（ TEa%）为质量规范，通过加权法计算出各项目 2019年 1～ 6月期间室内质控在控数据的不精密度，以 2018年参加卫生部室间质评（ EQA）数据作为偏倚（ bias%）来源，计算三家医院 29个检验项目的 σ度量值并进行性能评价，利用质量目标指数（ QGI)提出改善方法；将评价项目的 σ度量值与直接比对试验进行比较，通过统计分析确定 σ截断值（ cut-off）。结果　①三家医院 29个生化项目的性能并不一致，将项目中、高值的 σ值进行配对 t检验，其 t值分别为 2.28，3.01和 0.74，按 α =0.05水准判断得出医院 A与 B，医院 A与 C间的性能差异有统计学意义，医院 B与 C间的性能差异无统计学意义，医院 A项目性能要优于 B，C医院。评估的 87个项目中有 53项 σ平均值 <6，根据 QGI判断，3个项目需优先改善准确度，10个项目需同步改善准确度和精密度，另 40个项目需优先改善精密度。②对医院间项目比对通过率进行配对 χ2检验，其 χ2分别为 5.33，6.25和 2.5，按α=0.05水准判断， B与 A医院比对通过率低于 C与 A医院、 C与 B医院，差异有统计学意义； C与 A医院比对通过率跟 C与 B医院差异无统计学意义。③将 σ度量值与直接比对试验进行比较，经配对 χ2检验，当 σ cut-off值取≥ 2σ， ≥ 3σ，≥ 4σ，≥ 5σ和≥ 6σ时，其 χ2分别为 7.20，0.00，9.09，15.06和 16.06，按 χ20.05，1=3.84，α=0.05水准判断，当σcut-off值取≥ 3σ时，两种比对方法的差异无统计学意义。结论　σ度量值可以单独用于评价医院间生化检验结果的互认，在判断项目是否具有可比性时，可考虑将 σ cut-off值设为≥ 3σ。     

Electrophysiological evidence of altered facial expressions recognition in Alzheimer’s disease: A comprehensive ERP study

ObjectivesThe present study aims to evaluate the amplitude and latency of event-related potentials (ERPs) P100, N170, VPP and N230 in individuals with Alzheimer's disease (AD) compared to healthy elderly controls, using a passive viewing task of emotional facial expressions.MethodsTwenty-four individuals with mild to moderate AD and 23 demographically matched healthy elderly controls were included in the study. ERP P100, N170, VPP and N230 amplitude and latency values were compared between groups.ResultsThe categorization of emotional facial expressions was intact; yet, increased P100 amplitude and latency, decreased N170 amplitude, and increased VPP amplitude were observed in AD compared to controls. Increased N230 amplitude and latency were observed in response to angry expressions, while neutral expressions elicited decreased amplitude and latency.ConclusionsIncreased P100 amplitude and latency may reflect reduced amygdala volume and disruptions in the visual system, while decreased N170 and increased VPP amplitudes may reflect impaired perceptual processing, mitigated by a greater involvement of prefrontal areas for task performance in AD.SignificanceThis study is the first to report a complex pattern of ERPs to emotional facial expressions in individuals with AD.     

Telangiectasia macularis eruptiva perstans: diagnóstico dermatoscópico

IntroductionTelangiectasia macularis eruptiva perstans (TMEP) is a rare cutaneous mastocytosis, characterised by erythematous and/or brown macula in which telangiectasia are identified. The diagnosis is based on the clinical state of the lesions and on histopathology; however dermoscopy is an important diagnostic tool, revealing a very characteristic reticular vascular pattern.MethodologyA clinical examination, dermatoscopy, photographic follow-up, and histological study were performed on 5 patients with erythematous brown spots on the neck and V of the neckline, and were seen in this Centre between 2008 and 2018. A polarised light dermatoscope was used on lesion and the skin around it. All patients had a 4 mm punch biopsy of the affected skin, and the slices were stained with haematoxylin-eosin and Giemsa.ResultsThe dermatoscopy of the 5 patients showed a retiform vascular pattern with surrounding and crossing yellow spots corresponding to the follicular sebaceous glands, with few hairs. The skin around the lesion did not show any of these changes. In all patients, biopsy with haematoxylin-eosin corroborated the diagnosis of mastocytosis type TMEP. The location of the disease in the 5 patients was in the neck and V of the neckline.ConclusionsDermatoscopy helps in the diagnosis of TMEP by demonstrating that the retiform telangiectatic vascular pattern is a constant finding in all affected patients, and this is supported by the dermoscopic-histological findings. It also makes it possible to differentiate with other erythematous skin disease, and with other disorders that dermatoscopically exhibit retiform patterns.     

出生缺陷监测进展

利用科学、合理的监测手段对出生缺陷进行长期、持续的动态观察,有助于及时获悉缺陷发病率和疾病顺位的变化趋势,分析原因,为制定出生缺陷防控策略措施提供科学依据。本文综述了国内外出生缺陷的监测模式、监测病种和监测期限的工作进展。     

缺血性脑血管病梗死模式的分类及病因、发病机制研究进展

缺血性脑血管病的梗死模式具有多样性，根据梗死数目可分为无梗死、单发梗死和多发 梗死。单发梗死主要根据病灶的位置和大小进行分类，多发梗死则根据血管的供血范围进行分类。 单发梗死和多发梗死的不同梗死模式分别与不同的病因和发病机制相关。     

Neurofeedback and neuroplasticity of visual self-processing in depressed and healthy adolescents: A preliminary study

Adolescence is a neuroplastic period for self-processing and emotion regulation transformations, that if derailed, are linked to persistent depression. Neural mechanisms of adolescent self-processing and emotion regulation ought to be targeted via new treatments, given moderate effectiveness of current interventions. Thus, we implemented a novel neurofeedback protocol in adolescents to test the engagement of circuits sub-serving self-processing and emotion regulation.MethodsDepressed (n = 34) and healthy (n = 19) adolescents underwent neurofeedback training using a novel task. They saw their happy face as a cue to recall positive memories and increased displayed amygdala and hippocampus activity. The control condition was counting-backwards while viewing another happy face. A self vs. other face recognition task was administered before and after neurofeedback training.ResultsAdolescents showed higher frontotemporal activity during neurofeedback and higher amygdala and hippocampus and hippocampi activity in time series and region of interest analyses respectively. Before neurofeedback there was higher saliency network engagement for self-face recognition, but that network engagement was lower after neurofeedback. Depressed youth exhibited higher fusiform, inferior parietal lobule and cuneus activity during neurofeedback, but controls appeared to increase amygdala and hippocampus activity faster compared to depressed adolescents.ConclusionsNeurofeedback recruited frontotemporal cortices that support social cognition and emotion regulation. Amygdala and hippocampus engagement via neurofeedback appears to change limbic-frontotemporal networks during self-face recognition. A placebo group or condition and contrasting amygdala and hippocampus, hippocampi or right amygdala versus frontal loci of neurofeedback, e.g. dorsal anterior cingulate cortex, with longer duration of neurofeedback training will elucidate dosage and loci of neurofeedback in adolescents.     

White matter correlates of different aspects of facial affect recognition impairment following traumatic brain injury

Although facial affect recognition deficits are well documented in individuals with moderate-to-severe traumatic brain injury (TBI), little research has examined the neural mechanisms underlying these impairments. Here, we use diffusion tensor imaging (DTI), specifically the scalars fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD), to examine relationships between regional white-matter integrity and two facial affect sub-skills: perceptual affect recognition abilities (measured by an affect matching task) and verbal categorization of facial affect (measured by an affect labeling task). Our results showed that, within the TBI group, higher levels of white-matter integrity in tracts involved in affect recognition (inferior fronto-occipital, inferior longitudinal, and uncinate fasciculi) were associated with better performance on both tasks. Verbal categorization skills were specifically and positively correlated with integrity of the left uncinate fasciculus. Moreover, we observed a striking lateralization effect, with perceptual abilities having an almost exclusive relationship with integrity of right hemisphere tracts, while verbal abilities were associated with both left and right hemisphere integrity. The findings advance our understanding of the neurobiological mechanisms that underlie subcomponents of facial affect recognition and lead to different patterns of facial affect recognition impairment in adults with TBI.