摘要
目的:探讨重症手足口病的危险因素。方法:对2008年4月~2009年6月留观和住院的手足口病患儿的临床表现进行回顾性分析。结果:对全部被调查者的11个项目进行单因素相关分析,其中8项有显著性(P<0.05),分别是精神差、惊跳、嗜睡、发热天数≥3天、热峰≥38.5℃、呕吐、头痛、皮疹分布(无口腔溃疡)。热程≥3天的灵敏度、特异性、阳性预测值、阴性预测值分别为:61.8%,80.2%,58.9%,82.0%;热峰≥38.5℃的灵敏度、特异性、阳性预测值、阴性预测值分别为:39.8%,88.4%,91.6%,31.6%;惊跳的灵敏度、特异性、阳性预测值、阴性预测值分别为:72.7%,80.2%,96.6%,90.3%;呕吐的灵敏度、特异性、阳性预测值、阴性预测值分别为:82.6%,76.4%,40.2%,95.8%;精神的灵敏度、特异性、阳性预测值、阴性预测值分别为:67.4%,90.2%,82.2%,80.4%。精神差是中枢神经系统感染的独立危险因素。结论:精神差、惊跳、嗜睡、发热天数≥3天、热峰≥38.5℃、呕吐、头痛、皮疹分布(无口腔溃疡)为手足口病的危险症状,确定这些危险症状,有助于早期识别重症病例,早期治疗,降低死亡率。
Objective:To investigate the risk factors of hand foot and mouth disease(HFMD).Methods:Data collected through a prospective clinical study of HFMD conducted between 2008 and 2009 were examined to identify risk factors associated with neurological involvement in children with HFMD.Results:There were significantly differencs in listlessness,start,history of lethargy,total duration of fever≥3 days,peak temperature ≥38.5℃,vomit,headache,and absence of mouth ulcers.Listlessness was identified as an independent risk factor for neurological involvement in the analysis of 648 children admitted to hospital.Total duration of fever ≥3 days,peak temperature≥38.5℃,start,vomit,and listlessness had the sensitivity,specificity,positive predictive value(PPV) and negative predictive value(NPV) respectively:61.8%,80.2%,58.9%,82.0%;39.8%,88.4%,91.6%,31.6%;72.7%,80.2%,96.6%,90.3%;82.6%,76.4%,40.2%,95.8%;67.4%,90.2%,82.2%,80.4%.Conclusion:Listlessness,start,history of lethargy,total duration of fever ≥3 days,peak temperature≥38.5℃,vomit,headache,and absence of mouth ulcers were identified as clinical risk factors to help detect children at risk of neurological involvement.These risk factors may serve as a guide to clinicians to decide the need for hospitalization, further investigation,close monitoring for disease progression,and decrease of mortality in children with HFMD.
出处
《南京医科大学学报(自然科学版)》
CAS
CSCD
北大核心
2010年第1期87-91,共5页
Journal of Nanjing Medical University(Natural Sciences)
关键词
手足口病
中枢神经系统感染
回顾性分析
hand foot and mouth disease
neurological involvement
Logistic regression analysis