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Early Detection of Severe Dengue Infection in the Emergency Department: An Epidemiological Approach

机译:早期发现急诊部严重登革热感染:流行病学方法

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Objectives. We develop an epidemiological approach to determine the emergency patients at high risk of severe dengue (SD), known as hemorrhagic fever (DHF) or dengue shock syndrome (DSS), and to facilitate timely appropriate medical treatment reducing the number of complications and death by the scoring system. Methods. This retrospective study was conducted during 2015 dengue outbreak in southern Taiwan. An efficient scoring system has been created to differentiate SD by clinical and laboratory features. Type A was defined as cases who were less than 65 years of age, and have none of the dengue related underlying diseases (DM, CKD or ESRD, liver cirrhosis, COPD, CHF, and neoplasm) according the WHO guidelines. Type B were those aged 65 years and older, and with any of the dengue-related underlying diseases. Significant coefficients of parameters were transformed into SD scores and constructed by division of each coefficient with the smallest coefficient of the multivariate logistic regression models by the backward stepwise selection. The accuracy and validity of SD scores are tested and predicted. Results. The severity scores ranged from 1 to $3and the sum of total scores were 10. Significant parameters were used to construct possible SD models to distinguish a higher critical odds ratio when there was an underlying diseases [Adjusted OR, AOR (AOR: 22.68, 95% CI: 6.86-74.96)], tachypnea (AOR: 2.9$195% CI: 1.29-6.56), shock (AOR: 15.5$295% CI: 3.97-60.65), and aPTT prolonged (AOR: 4.48, 95% CI: 2.05-9.78), and Hepatitis (AOR: 2.48, 95% CI: 1.07-5.74). An AUC of 0.82 was obtained which confirmed the good performance of the model. Positive likelihood ratio (LR+) of 10.74 indicates that the result greater than or equal to the severe score of 8 has a large effect on increasing the probability of SD presence. Conclusions. Our study has demonstrated an efficient scoring system to predict SD. The further validation of SD application should be confirmed.
机译:目标。我们开发了一个流行病学的方法来确定严重的登革热(SD),称为出血热(DHF)或登革休克综合征(DSS)的高风险的急诊病人,以便及时适当的治疗减少并发症和死亡人数由该评分系统。方法。本回顾性研究在台湾南部登革热2015年爆发的进行。一个有效的评分系统已通过临床和实验室特征创建区分SD。 A型是根据世界卫生组织的准则定义谁是不到65岁的情况下,并有没有基础疾病有关登革热(DM,CKD或ESRD,肝硬化,慢性阻塞性肺病,CHF,和肿瘤)的。 B类是那些年龄在65岁以上,并与任何登革热相关基础疾病。的参数显著系数变换成SD分数和与由向后逐步选择多变量logistic回归模型的最小系数的每个系数的除法构成。 SD分数的准确性和有效性进行测试和预测。结果。的严重程度评分为1至不等$ 3-和总得分的总和为10。重要的参数被用来构建可能SD模式来区分更高的临界比值比时,有一个基本的疾病[校正OR AOR(AOR:22.68,95 %CI:6.86-74.96)],呼吸急促(AOR:2.9 $ 195%CI:1.29-6.56),休克(AOR:15.5 $ 295%CI:3.97-60.65)和延长的aPTT(AOR:4.48,95%CI:2.05 -9.78)和肝炎(AOR:2.48,95%CI:1.07-5.74)。获得了0.82的AUC,这表明该模型具有良好的性能。的10.74阳性似然比(LR +),表示该结果大于或等于8的严重得分对提高SD存在的概率有很大影响。结论。我们的研究表明一个有效的评分系统来预测SD。 SD应用的进一步验证应得到确认。

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