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目的分析登革热患者临床表现和实验室指标的变化。方法回顾性分析2015年潮州登革热暴发期间潮州中心医院就诊的528例登革热患者症状、体征以及实验室数据,并与普通人群进行对比,同时比较普通登革热、登革出血热和重症登革热各项指标之间是否存在差异。结果所有患者均为登革热病毒Ⅱ型感染,主要临床表现为发热、头痛、皮疹、肌肉酸痛、淤斑、出血、呕吐、腹泻。登革热组患者白细胞(WBC)、血细胞比容(HCT)、血小板(PLT)、丙氨酸氨基转移酶(ALT)、天门冬氨酸氨基转移酶(AST)、三酰甘油(TG)、总胆固醇(TCHO)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)水平与普通人群比较差异均有统计学意义(P=0.000)。登革热患者中普通登革热患者491例(93.0%),登革出血热22例(4.2%),重症登革热15例(2.8%)。重症登革热组患者WBC、PLT、ALT、AST、磷酸肌酸激酶(CK)、磷酸肌酸激酶同工酶(CK-MB)、乳酸脱氢酶(LDH)水平与普通登革热组比较差异有统计学意义(P<0.05),WBC、ALT、AST、CK、CK-MB、LDH在登革出血热组和重症登革热组之间比较差异有统计学意义(P<0.05)。结论登革热患者多项实验室指标均可表现出不同程度异常,综合分析这些数据可以辅助指导临床诊断与治疗,对登革热病毒感染的控制有显著意义。
Objective To analyze the clinical manifestations and laboratory changes of dengue fever patients. Methods The clinical data of 528 dengue patients treated during the outbreak of Chaozhou Central Hospital in 2015 during the outbreak of Chaozhou dengue fever were retrospectively analyzed and compared with those of the general population. The common dengue fever, dengue haemorrhagic fever and severe dengue were compared with each other Is there any difference? Results All patients were infected with dengue virus type 2 infection. The main clinical manifestations were fever, headache, rash, muscle ache, ecchymosis, bleeding, vomiting and diarrhea. In patients with dengue fever, WBC, HCT, PLT, ALT, TG, TG, The levels of TCHO, HDL-C and LDL-C were significantly different from the general population (P = 0.000). There were 491 (93.0%) common dengue fever patients, 22 (4.2%) dengue haemorrhagic fever patients and 15 (2.8%) severe dengue fever patients with dengue fever. The levels of WBC, PLT, ALT, AST, creatine kinase (CK), creatine phosphokinase (CK-MB) and lactate dehydrogenase (LDH) in patients with severe dengue were significantly lower than those in normal dengue (P <0.05). The differences of WBC, ALT, AST, CK, CK-MB and LDH in dengue haemorrhagic fever group and severe dengue fever group were statistically significant (P <0.05). Conclusion A number of laboratory tests of dengue fever patients may show different degrees of abnormalities. Comprehensive analysis of these data can help guide the clinical diagnosis and treatment, and have significant significance on the control of dengue virus infection.