脑卒中患者急性应激障碍及影响因素研究

目的探讨脑卒中患者急性应激障碍发生现状及影响因素。方法采用斯坦福急性应激反应问卷对349例脑卒中住院患者进行调查。结果共163例(46.70%)患者发生急性应激障碍;Logistic回归分析结果显示,患者性格、是否存在偏瘫及是否吞咽功能障碍是脑卒中患者发生急性应激障碍的主要影响因素(P0.05,P0.01)。结论脑卒中患者急性应激障碍发生率较高,内向性格及存在偏瘫和吞咽功能障碍的患者更容易发生急性应激障碍。医护人员应及时为高危患者提供个体化治疗及预见性护理,防止脑卒中患者发生急性应激障碍。     

神经源性声带运动障碍与喉神经电生理

声带运动障碍的病因和临床表现复杂多变，涉及多学科，从病因上分为神经源性和非神经源性。对于神经源性声带运动障碍的诊治，首先通过喉镜等检查明确有无声带运动障碍及严重程度，值得注意的是声带纵向张力变化障碍也属于运动障碍的范畴；然后采用喉肌电图（LEMG）检查进行定性分析，在确诊神经源性损伤后，进一步对神经损伤部位进行定位诊断并查找导致神经损伤的病因；同时根据喉部神经电生理评估结果，判断预后。最后综合上述的评估结果制定相应的治疗策略。     

疱疹病毒抗体阳性肺炎支原体肺炎患儿免疫状况及临床特征

目的探讨疱疹病毒抗体阳性的肺炎支原体肺炎(MPP)患儿免疫状况及临床特征。方法回顾分析2015年1月—2017年5月收治的360例2个月～16岁因MPP住院的患儿临床资料,以EB病毒(EBV)、巨细胞病毒(CMV)、单纯疱疹病毒(HSV)任一疱疹病毒IgM抗体阳性的162例患儿为抗体阳性组,另198例EBV、CMV、HSV抗体均阴性的患儿作为对照组,两组进行分析比较。结果 360例MPP患儿中男188例、女172例,合并疱疹病毒IgM抗体阳性162例,其中EBV IgM阳性97例,阳性率26.9%;CMV IgM阳性39例,阳性率10.8%;HSV IgM阳性97例,阳性率26.9%。所有患儿均未予抗病毒治疗,经治疗症状缓解好转出院。抗体阳性组重症MPP、大叶性实变、并发呼吸衰竭的比例均高于对照组,血清IgM、CD~(4+)T细胞、CD~(8+)T细胞、淋巴细胞、NK细胞、白细胞计数、乳酸脱氢酶、丙氨酸氨基转移酶均高于对照组,大环内酯类抗生素使用时间长于对照组,使用激素率高于对照组,差异均有统计学意义(P均0.05)。MPP合并2种病毒IgM抗体阳性者的血IgM和三酰甘油水平高于合并1种者,差异有统计学意义(P0.05)。合并3种病毒IgM抗体阳性者与合并1种者比较,住院时间、发热时间、大环内酯类抗生素使用时间均有延长,血IgM、丙氨酸氨基转移酶水平更高,重症MPP发生率增高,差异均有统计学意义(P0.05)。结论疱疹病毒IgM抗体阳性MPP患儿的炎症反应强烈,临床症状重,病程长,并发症多,需更长时间的治疗。     

Specific alterations in plasma proteins during depressed,manic, and euthymic states of bipolar disorder

Bipolar disorder (BD) is a common psychiatric mood disorder affecting more than 1-2% of the general population of different European countries. Unfortunately, there is no objective laboratory-based test to aid BD diagnosis or monitor its progression, and little is known about the molecular basis of BD. Here, we performed a comparative proteomic study to identify differentially expressed plasma proteins in various BD mood states (depressed BD, manic BD, and euthymic BD) relative to healthy controls. A total of 10 euthymic BD, 20 depressed BD, 15 manic BD, and 20 demographically matched healthy control subjects were recruited. Seven high-abundance proteins were immunodepleted in plasma samples from the 4 experimental groups, which were then subjected to proteome-wide expression profiling by two-dimensional electrophoresis and matrix-assisted laser desorption/ionization-time-of-flight/time-of-flight tandem mass spectrometry. Proteomic results were validated by immunoblotting and bioinformatically analyzed using MetaCore. From a total of 32 proteins identified with 1.5-fold changes in expression compared with healthy controls, 16 proteins were perturbed in BD independent of mood state, while 16 proteins were specifically associated with particular BD mood states. Two mood-independent differential proteins, apolipoprotein (Apo) A1 and Apo L1, suggest that BD pathophysiology may be associated with early perturbations in lipid metabolism. Moreover, down-regulation of one mood-dependent protein, carbonic anhydrase 1 (CA-1), suggests it may be involved in the pathophysiology of depressive episodes in BD. Thus, BD pathophysiology may be associated with early perturbations in lipid metabolism that are independent of mood state, while CA-1 may be involved in the pathophysiology of depressive episodes.     

How structural and functional MRI can inform dual-site tACS parameters: A case study in a clinical population and its pragmatic implications

BackgroundAbnormalities in frontoparietal network (FPN) were observed in many neuropsychiatric diseases including substance use disorders. A growing number of studies are using dual-site-tACS with frontoparietal synchronization to engage this network. However, a computational pathway to inform and optimize parameter space for frontoparietal synchronization is still lacking. In this case study, in a group of participants with methamphetamine use disorders, we proposed a computational pathway to extract optimal electrode montage while accounting for stimulation intensity using structural and functional MRI.MethodsSixty methamphetamine users completed an fMRI drug cue-reactivity task. Four main steps were taken to define electrode montage and adjust stimulation intensity using 4x1 high-definition (HD) electrodes for a dual-site-tACS; (1) Frontal seed was defined based on the maximum electric fields (EF) predicted by simulation of HD montage over DLPFC (F3/F4 in EEG 10–10), (2) frontal seed-to-whole brain context-dependent correlation was calculated to determine connected regions to frontal seeds, (3) center of connected cluster in parietal cortex was selected as a location for placing the second set of HD electrodes to shape the informed montage, (4) individualized head models were used to determine optimal stimulation intensity considering underlying brain structure. The informed montage was compared to montages with large electrodes and classic frontoparietal HD montages (F3-P3/F4-P4) in terms of tACS-induced EF and ROI-to-ROI task-based/resting-state connectivity.ResultsCompared to the large electrodes, HD frontoparietal montages allow for a finer control of the spatial peak fields in the main nodes of the FPN at the cost of lower maximum EF (large-pad/HD: max EF[V/m] = 0.37/0.11, number of cortical sub-regions that EF exceeds 50% of the max = 77/13). For defining stimulation targets based on EF patterns, using group-level head models compared to a single standard head model results in comparable but significantly different seed locations (6.43 mm Euclidean distance between the locations of the frontal maximum EF in standard-space). As expected, significant task-based/resting-state connections were only found between frontal-parietal locations in the informed montage. Cue-induced craving score was correlated with frontoparietal connectivity only in the informed montage (r = ?0.24). Stimulation intensity in the informed montage, and not in the classic HD montage, needs 40% reduction in the parietal site to reduce the disparity in EF between stimulation sites.ConclusionThis study provides some empirical insights to montage and dose selection in dual-site-tACS using individual brain structures and functions and proposes a computational pathway to use head models and functional MRI to define (1) optimum electrode montage for targeting FPN in a context of interest (drug-cue-reactivity) and (2) proper transcranial stimulation intensity.     

养精种玉汤辅助体外受精-胚胎移植对排卵障碍性不孕患者的影响

目的：探究养精种玉汤辅助体外受精-胚胎移植（IVF-ET）对排卵障碍性不孕患者的影响。方法：选取2016年12月至2017年3月邯郸市中心医院收治的排卵障碍性不孕患者82例作为研究对象，按照随机数字表法随机分为对照组与观察组，每组41例。对照组给予促性腺激素释放激素激动剂（Gn）+控制性促排卵+IVF-ET治疗，观察组在此基础上联合养精种玉汤治疗，至HCG日停止服用。治疗后统计2组Gn使用情况、取卵数及妊娠率；检测并比较HCG日2组子宫内膜容受性指标；比较2组妊娠结局及治疗期间相关不良反应发生情况。结果：观察组Gn使用天数及使用剂量均低于对照组，而妊娠率高于对照组（P<0.05或P<0.01）；观察组子宫内膜类型为A型患者比例高于对照组，而子宫内膜类型为C型患者比例低于对照组（P<0.05或P<0.01）；观察组子宫内膜厚度大于对照组，而子宫内膜动脉血流参数PI及RI均低于对照组（P<0.01）；2组不良反应发生率差异无统计学意义（P>0.05），且治疗期间2组血清肝功能指标及血尿常规检测均未发现异常。结论：养精种玉汤辅助IVF-ET可有效增强排卵障碍性不孕患者子宫内膜容受性，提高患者妊娠率并改善其妊娠结局，具有良好的安全性。     

Automated classification of depression from structural brain measures across two independent community‐based cohorts

Major depressive disorder (MDD) has been the subject of many neuroimaging case–control classification studies. Although some studies report accuracies ≥80%, most have investigated relatively small samples of clinically‐ascertained, currently symptomatic cases, and did not attempt replication in larger samples. We here first aimed to replicate previously reported classification accuracies in a small, well‐phenotyped community‐based group of current MDD cases with clinical interview‐based diagnoses (from STratifying Resilience and Depression Longitudinally cohort, ‘STRADL’). We performed a set of exploratory predictive classification analyses with measures related to brain morphometry and white matter integrity. We applied three classifier types—SVM, penalised logistic regression or decision tree—either with or without optimisation, and with or without feature selection. We then determined whether similar accuracies could be replicated in a larger independent population‐based sample with self‐reported current depression (UK Biobank cohort). Additional analyses extended to lifetime MDD diagnoses—remitted MDD in STRADL, and lifetime‐experienced MDD in UK Biobank. The highest cross‐validation accuracy (75%) was achieved in the initial current MDD sample with a decision tree classifier and cortical surface area features. The most frequently selected decision tree split variables included surface areas of bilateral caudal anterior cingulate, left lingual gyrus, left superior frontal, right precentral and paracentral regions. High accuracy was not achieved in the larger samples with self‐reported current depression (53.73%), with remitted MDD (57.48%), or with lifetime‐experienced MDD (52.68–60.29%). Our results indicate that high predictive classification accuracies may not immediately translate to larger samples with broader criteria for depression, and may not be robust across different classification approaches.