论中医类书《医部全录》

《医部全录》为《古今图书集成》的一部分,是我国历代以来最大的一部医学类书.全书内容包括医经注释、诊法、脏腑身形、各科疾病的理论经验,以及有关医学的艺文、记事和名医传等,内容丰富,眉目清楚,是一部常用的中医工具书,对医学工作者学习和研究中医具有很高的参考价值.     

特应性皮炎临床特点与诊断标准探讨

目的：探讨特应性皮炎的临床特点与诊断标准。方法选择特应性皮炎患者638例,均符合 HR 的相关诊断,统计所有患者对于康田标准的符合率,观察其遗传过敏情况、伴随体征以及嗜酸性粒细胞、血清 IgE情况。结果经过 HR 确诊为特应性皮炎的638例患者中符合康田标准者618例,总符合率为96.87％,符合率随着年龄段的增长而增高。在过敏史中个人过敏史随着年龄增长而发病率增加,家族过敏史中超过12岁者明显增多。在临床症状中干皮症、掌纹症、面部皮炎所占比例最高,乳头湿疹、唇炎、眶下皱褶、白色糠疹所占比例较低。各年龄阶段的患者嗜酸性粒细胞与 IgE 的均值均高于正常值。结论康田标准对于特应性皮炎的诊断标准合理实用。     

睡眠障碍简析

睡眠是人体恢复精力的重要生理机制,睡眠障碍会严重影响人们的生活质量及工作效率,损害身体健康。本文从诊断标准、发病原因、治疗方法等方面对睡眠障碍进行了简单分析,对于人们了解疾病、治疗疾病具有一定的参考价值。     

Evaluation of a new equation for LDL-c estimation and prediction of death by cardiovascular related events in a German population-based study cohort

A simple equation established by Cordova &; Cordova (LDL-COR) was developed to provide an improved estimation of LDL-cholesterol in a large Brazilian laboratory database. We evaluated this new equation in a general population cohort in Pomerania, north-eastern Germany (SHIP Study) compared to other existing formulas (Anandaraja, Teerakanchana, Chen, Hattori, Martin, Friedewald and Ahmadi), and its power in the prediction of death by atherosclerosis related events as the primary outcome. Analysis was conducted on a cohort of 4075 individuals considering age, gender, use of lipid lowering therapy and associated co-morbidities such as diabetes, hepatic, kidney and thyroid disease. LDL-COR values had a lower standard deviation compared to the previously published equations: 0.92 versus 1.02, 1.02, 1.03, 1.04, 1.09, 1.10 and 1.74?mmol/L, respectively. All of the factors known to affect the results obtained by the Friedewald’s equation (LDL-FW), except fibrate use, were associated with the difference between LDL-COR and LDL-FW (p?p?=?.06). LDL-COR determined a higher hazard ratio (1.23 versus 1.12, 1.19, 1.21, 1.19, 1.21 and 1.19) for cardiovascular disease related mortality, incident stroke or myocardial infarction compared to the other evaluated formulas, except for Ahmadi’s (1.24), and the same adjusted predictive power considering all confounding factors. The proposed simple equation was demonstrated to be suitable for a more precise LDL-c estimation in the studied population. Since LDL-c is a parameter frequently requested by medical laboratories in clinical routine, and will probably remain so, precise methods for its estimation are needed when direct measurement is not available.