目的 探讨儿童肾病综合征(NS)的红细胞分布宽度(RDW)与肾功能损害的关系。方法 收集168例NS患者作为观察组,根据eGFR分期分为三组,按照起病时长4月为界限分为两组;选健康儿童100例为对照组。检测各组血常规、肝肾功能等,采用SPSS 21.0软件进行统计分析。结果 ①与对照组相比,NS患儿的RBC[(4.86±0.69)vs(4.32±0.48)],RDW[(13.39±1.69)vs(12.99±1.04)]升高,差异有统计学意义(P<0.05);②RDW在肾功能3期(14.60±1.36)较2期(12.84±0.79)升高,在起病时长≤4月患儿(13.66±1.78)较健康儿童(12.99±1.04)上升,差异有统计学意义(P<0.05);红细胞平均容积(MCV)在起病时长≤4月较对照组下降,起病时间>4月组较起病时长≤4月上升,差异有统计学意义(P<0.05)。结论 儿童NS患者的RBC、RDW较健康儿童升高,RDW在肾功能3期较2期升高。

Objective To investigate the relationship between red cell distribution width(RDW) and renal function damage in children with nephrotic syndrome(NS). Methods 168 NS patients were chosen as the observation group, divided into three groups by eGFR level, while also divided into two groups by onset duration of 4 months. 100 healthy children were included as the control group. The blood routine, biomedical function of liver and kidney were detected. Data were analyzed by SPSS 21.0. Results ① Compared to control group, NS patients have higher levels of RBC[(4.86±0.69) vs (4.32±0.48)] and RDW[(13.39±1.69) vs (12.99±1.04)], P<0.05; ② RDW is higher in the third phase of renal function than the second [(14.60±1.36) vs(12.84±0.79)], and also higher in the onset duration of less than 4 months group than the control group [(13.66±1.78) vs (12.99±1.04)], P<0.05; Mean corpuscular volume is lower in the onset duration group of less than 4 months than the control group, and higher in the onset duration group more than 4 months than the onset duration group of less than 4 months, P<0.05. Conclusion The RBC, RDW are higher in children NS patients than in the healthy children; RDW is higher in the third renal function than the second renal function.

目的 通过对银行从业人员动脉硬化发生率及相关分析,了解该群体的血管状况,并分析引起动脉硬化发生的相关危险因素,为银行从业人员提供切实可行的健康指导方案。方法 以2013年1月—2014年12月在我单位进行体检的银行从业人员实验组1534例,非银行从业人员对照组1479例为研究对象,利用OMRON BP-203RPE III型动脉硬化检测仪测量出bapwv的数据,并对所有人员的体检数据进行分析整理。结果 实验组(银行从业人员)1534例,年龄(35.32±7.14)岁,动脉硬化发生率28.6%;对照组(非银行从业人员)1479例,年龄(37.45±6.33)岁,动脉硬化发生率13.5%;吸烟、体重指数、高血压、糖尿病、睡眠障碍五个方面,P<0.05,差异有统计学意义;银行内部工作性质不同,动脉硬化发生率也不同,P<0.05,差异有统计学意义。讨论 通过健康体检,及时发现银行从业人员动脉硬化发生率高于非银行从业人员,对于控制和延缓银行从业人员心血管事件的发生有重要意义。

       目的   通过对广东省下的卫生资源配置的公平性进行分析，找出当前卫生资源配置存在的问题并提出优化建议，以进一步减少健康不平等的现象，为实现广东省均衡化配置卫生资源的“十四五”目标提供实践参考依据。方法  收集整理《广东省统计年鉴》中2018—2022年相关数据，采用集聚度法、空间自相关分析，从人口、地理、空间三个纬度对卫生资源分布的公平性进行分析。结果  珠三角、粤东地区的卫生资源配置公平性，在地理维度上较高，人口维度上较低；粤西、粤北地区的卫生资源配置的公平性与之相反。在空间分布上，2018年部分城市的卫生资源分布呈现出一定的空间集聚特征，但到2022年这种空间集聚特征均弱化，空间自相关性消失。结论  广东省卫生资源在地域之间存在分布不均衡情况，其配置公平性有待提升。尽管空间自相关消失可能意味着资源不再集中在某些特定区域，但政策制定者在未来进行卫生资源规划时，要考虑如人口密度、经济发展水平等因素给各地区带来的影响，以进一步促进资源的均等化配置。

       Objective  By analyzing the equity of health resource allocation in Guangdong Province，to identify the current problems in health  resource allocation and put forward optimization suggestions to further  reduce health inequalities and provide practical references for achieving the “14th Five-Year Plan” goal of balanced allocation of health resources in Guangdong Province．Methods  Relevant data from 2018-2022 in the Guangdong Provincial Statistical Yearbook were collected and organized，and the equity of health resource distribution was analyzed in three dimensions：demographic，geographic and spatial，by using the agglomeration method and spatial auto-correlation analysis．Results  The equity of health resource allocation in the Pearl River Delta and Guangdong East regions was higher in geographical dimension and lower in population dimension；the equity of health resource allocation in Guangdong West and Guangdong North regions was the opposite．In terms of spatial distribution，the distribution of health resources in some cities showed some spatial clustering characteristics in 2018，but all such spatial clustering characteristics weakened and spatial auto-correlation disappeared by 2022．Conclusions  Health resources in Guangdong Province were unbalanced in terms of their geographic distribution，and the equity of their allocation needs to be improved．Although the disappearance of spatial auto-correlation may mean that resources are no longer concentrated in certain regions，policymakers should consider the impact of factors such as population density and level of economic development on regions when planning health resources in the future to further promote the equalization of resource allocation．