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作 者:覃小兰[1] 张忠德[1] 刘云涛[1] 梁伟波[1] 张晓春[1] 胡志亮[1]
机构地区:[1]广东省中医院
出 处:《中医杂志》2016年第12期1033-1036,共4页Journal of Traditional Chinese Medicine
基 金:广东省省级科技计划项目(2013A020229007);广东省中医院中医药科学技术研究专项(YK2013B2N04)
摘 要:目的分析不同时期登革热确诊患者的发病特征及其差异,为临床辨证论治提供依据。方法收集2013年、2014年广州市荔湾区确诊为登革热患者的临床资料,对不同年份患者的年龄、性别、发病时间、临床表现进行比较。结果共收集2013年257例、2014年465例登革热患者。2013年患者中,男148例,女109例,年龄10~84岁;2014年患者中,男227例,女238例,年龄12~92岁,两年的患者年龄及性别比较,2013年患者年龄偏低,且男性患者比例较高,差异均有统计学意义(P〈0.05)。2013年、2014年登革热发病的高峰均发生在10月,但2013年发病的次高峰在11月,2014年的次高峰在9月,两年发病的时间分布比较差异有统计学意义(P〈0.05)。2014年登革热患者出现纳差、皮疹、身重乏力、肌痛/骨痛的比例高于2013年(P〈0.05)。结论登革热发病具有不同的人群特征、时间特征、临床特征,应结合气候、物候、病候辨治。Objective To analyze the onset characteristics and their differences in patients confirmed with dengue at different time to provide basis for clinical treatment. Methods Clinical data of patients from Liwan District,Guangzhou,who were confirmed with dengue in the year 2013 and 2014,were collected. Factors including age,gender,time of onset,and clinical feature of patients in different year were compared. Results Totally 257 cases in 2013 and 465 cases in 2014 were collected. Among patients in 2013,there were 148 cases of male and 109 cases of female,with age from 10 to 84 years old; among patients in 2014,there were 227 cases of male and 238 cases of female,with age from 12 to 92 years old. Compared with those in 2014,patients' age in 2013 was lower,and the proportion of male patients in 2013 was higher,and there were statistically significant differences( P〈0. 05). The peak periods of dengue were both in October in 2013 and 2014,while the secondary maximum of morbidity was in November in 2013,and September in 2014. There was significant difference in distribution of disease time between the two years( P〈0. 05). The proportion of patients presenting with poor appetite,rash,heavy body and weak,muscle pain and bone pain in 2014 was higher than that in 2013( P〈0. 05). Conclusion There are different population characteristics,time characteristics and clinical characteristics in dengue onset. It should be combined with climate,phenology and disease differentiations to conduct treatment based on symptom differentiation.
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