64层螺旋CT冠状动脉成像联合血脂动态变化评价冠心病

目的分析血脂动态变化与冠状动脉粥样硬化性心脏病的关系。方法回顾性分析108例怀疑冠心病首次住院病人，所有病人均行64层螺旋CT冠脉成像（CTA）检查，同时行血脂检查。依据CTA结果分4组，对照组（冠脉无狭窄）；轻度（狭窄〈50％）；中度（50％≤狭窄〈75％）；重度（狭窄≥75％）。结果与对照组比较，血总胆固醇（TC）、血三酰甘油（TG）、高密度脂蛋白胆固醇（HDL—C）及低密度脂蛋白胆固醇（LDL—C）均存在明显差异（P〈0．05）。TC、LDL—C在异常组间无显著性差异（P〉0．05），而TG、HDL—C存在显著性差异（P〈0．05）。结论TC、LDL—C作为冠状动脉粥样硬化发生的始动因素，TG、HDL—C影响冠脉狭窄程度，在粥样硬化演进中可能起主要作用。动态分析血脂变化对评价冠心病具有一定指导意义。     

河南省狂犬病病例县区层面空间分布特征与动态变化

目的 研究狂犬病病例在河南省县区层面空间分布状态及动态变化.方法 对河南省2004-2010年狂犬病县区层面疫情数据进行收集和整理,进行Poisson分布和负二项分布的拟合与检验,分析聚集特征及变化.结果 按照α=0.05水平,2004、2005、2007和2009年狂犬病病例在县区层面服从负二项分布而不服从P0isson分布(P＜0.001);2008和2010年更倾向于服从负二项分布,但同时不排除服从Poisson分布;2006年两种分布均不服从.从负二项聚集性参数k值来看,狂犬病病例在县区层面的聚集程度从2004-2008年逐年降低,2009年有所增强,2010年又呈现聚集性减弱倾向.聚集程度与疫情县区平均病例数呈正相关(r=0.807,P=0.028).结论 狂犬病病例在河南省县区层面的分布更倾向于负二项分布,具有一定程度的空间聚集性,但聚集程度有逐年下降趋势.

Abstract：

Objective To study the spatial distribution and dynamics of human rabies cases at the county level, in Henan province to provide scientific evidence for the development of control program on rabies. Methods Data of human rabies cases at the county level from 2004 to 2010 in Henan province were analyzed by Poisson distribution and negative binomial distribution. Data calculation was conducted manually. Results According to the level of α =0.05 being set, there were three different results appeared: the first was fitted negative binomial distribution in 2004, 2005,2007 and 2009; the second was prioritized negative binomial distribution, but the poisson distribution could not be excluded in 2008 and 2010; the last one was fitted neither negative binomial distribution nor poisson distribution in 2006. By the clustering parameter k, the clustering degree at county level decreased from 2004 to 2008, then ascending in 2009 but descending again in 2010. The degree of clustering showed a positive correlation with the county mean cases in the prevalent counties (r=0.807,P=0.028). Conclusion As a whole,the distribution of human rabies at county level in Henan from 2004 to 2010 showed negative binomial distribution and presented the spatial clustering.However, the degree of clustering decreased in recent years and showed that the infection resource was possibly scattered more evenly at the county level.