Frontal dysfunction in schizophrenia – a new electrophysiological classifier for research and clinical applications

We determined whether schizophrenic patients can be reliably classified with electrophysiological tools. We developed a fully computerized classifier based on 5 minutes of EEG recording during an acoustical choice reaction time task (AMDP-module IV). We included factorized variables from the frequency domain and evoked potentials (N100/P200-complex) from central and frontal electrodes, which were preprocessed in a sample of 150 normal subjects prior to classification. We applied discriminant analyses to the electrophysiological data from depressive, schizophrenic and schizotypal subjects, most of them being unmedicated or drug-naive. The classifier was developed on a training set (33 schizophrenics, 49 normals) and tested on an independent sample (32 schizophrenics, 49 normals). A simple three-variable classifier was found to classify schizophrenics and normals in 77% of those tested correctly. Diagnostic specificity of the classifier proved to be low as the inclusion of depressive patients (n= 60) significantly decreased classification power. It was demonstrated that atypical but not typical neuroleptic drugs may influence the classification results. Correctly classified schizophrenics showed significantly more negative symptoms and slower reaction times than those schizophrenics who were misclassified as normals. In contrast, these misclassified schizophrenics showed a non-significant trend for more positive symptoms and shorter reaction times. As the correctly classified schizophrenics showed increased frontally pronounced delta-activity and decreased signal power of the N100/P200 amplitude, it was concluded that these schizophrenics show dysfunction of the frontal lobe. It is proposed that this new classifier can be useful for clinical and research applications when subtyping of schizophrenics with detection of frontal dysfunction as the aim.     

Clinical Observation on Therapeutic Effects of Acupuncture Treatment for 100 Cases of Type Ⅱ Diabetes

目的:观察针刺治疗糖尿病的疗效.方法:对100例患者在适当饮食控制的基础上,电针脾俞、肾俞、肺俞、胃脘下俞、足三里、内关、三阴交、合谷和血海,并辨证加减.结果:治疗后患者空腹血糖值下降,与治疗前比有显著差异(P＜0.05);症状明显者由治疗前的85%下降到治疗后的4%.结论:针刺能降低糖尿病患者空腹血糖,在改善临床症状方面亦有明显效果.     

浅谈恶性淋巴瘤分类和诊断与高新技术应用的关系

文章分析恶性淋巴瘤的分类、诊断与高新技术应用的关系，研究表明现代医学新技术在淋巴瘤的诊断和分类方面起着十分重要作用。     

河北省齿股蝇属区系分析(双翅目:环裂亚目)

目的 调查河北省齿股蝇属昆虫的种类、分布及区系特征。方法 采用昆虫分类学原理和方法。结果 在河北省发现齿股蝇属15种，古北区均有分布，其中5种仅在古北区有分布。结论 河北省齿股蝇属昆虫种数约占该科全国已知种数的30．00％，属于古北区系。     

基因表达数据判别分析的随机森林方法

目的探讨随机森林算法在基因表达数据分类研究中的应用。方法通过实际基因表达数据考核其应用效果，并通过模拟试验进一步验证和研究在存在大量无差异表达基因情况下对分类产生的影响。结果随机森林算法对基因表达数据的分类具有较高的准确性，但随着基因数量的增加其判别效果呈下降的趋势，在差异表达基因之间具有相关性时，下降趋势明显减慢，能够获得较理想的分类效果。结论随机森林算法对基因表达数据的分类研究有较好的判别效果。     

中国溜头秽蝇属分类研究初报(双翅目:蝇科)

文中报告了近年来笔者对我国溜头秽蝇属（Lispocephala）的分类研究结果.通过调查研究及查阅文献资料,发现我国该属目前共有20种,包括1新种极乐溜头秽蝇（Lispocephala paradisea）（将另文发表）,15个种为新组合,并报告了中国产该属20种名录和地理分布.     

国际疾病分类（ICD）教学的相关问题探讨

国际疾病分类编码是一门重要的医学信息综合性课程,为了提高其教学质量,首先应培养学生的学习的兴趣和主动性;二是在教学过程中,充分与医学基础知识有机地结合的教学方式是提高教学质量重要方法;三是实习和见习是提高学生编码技术的重要步骤。     

洪灾救援中武警官兵疾病发生情况研究

目的：了解部队在各种“洪灾救援”行动中伤病发生的特点和规律，以便在行动前及时做好卫勤保障准备，使部队防病治病措施迅速到位。方法：采用国际疾病分类方法（ICD-10）对发生疾病进行分类，计算疾病发病数及构成比。结果：历年历次洪灾救援任务中，各系统疾病均有不同程度的发生，总发病数为46405人，其中皮肤病占总发病数的37．36％；呼吸系统疾病占28．24％；消化系统疾病占13．45％；传染病与寄生虫病占2．95％。因洪灾时发夏秋时季，南北地区洪灾救援前线官兵疾病发生情况差异无统计学意义。参战开始的第1、2周呼吸系统疾病多见，第2周开始皮肤病和皮下组织疾病，消化系统疾病和传染病寄生虫疾病也逐步上升。结论：应根据不同时间段疾病发病特点及规律，及早采取有针对性的预防对策，使卫勤保障工作有效得力，减少疾病减员确保部队的战斗力。     

Clinical observation on acupuncture treatment of 36 cases of chronic atrophic gastritis

目的:观察针灸结合治疗慢性萎缩性胃炎的临床疗效.方法:慢性萎缩性胃炎患者36例,按中医辩证,分型施以针灸治疗.治疗前及治疗后均进行胃镜、体表胃电图、胃酸和胃蛋白酶、血中胃泌素、血中前列腺素E及胃粘膜胃泌素细胞等理化指标检查.结果:针灸治疗本病有较好的效果,显效好转率达97.2%,临床症状消失率达97.0%.治疗后可使患者血中前列腺素E等防御性因子增强,使患者从胃内低酸转向正常状态,胃动力功能增强,胃电图幅值回升,并可促使胃泌素释放,有利于胃酸的分泌.结论:针灸治疗萎缩性胃炎简便经济,无副作用,见效快,疗效肯定,可重复性强,具有一定的临床意义.