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Clinical, laboratory, and demographic determinants of hospitalization due to dengue in 7613 patients: A retrospective study based on hierarchical models

机译:7613名患者登革热导致的临床,实验室和人口统计决定因素:基于等级模型的回顾性研究

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Graphical abstract Display Omitted Highlights ? Most patients did not require hospitalization. ? Plasma leakage and organ failure were the main indicators of hospitalization due to dengue. ? Patient age correlated with death, hemorrhagic manifestations, and plasma leakage. ? Patients >60 yearshad higher hospitalization frequency than patients Abstract In Brazil, the incidence of hospitalization due to dengue, as an indicator of severity, has drastically increased since 1998. The objective of our study was to identify risk factors associated with subsequent hospitalization related to dengue. We analyzed 7613 dengue confirmed via serology (ELISA), non-structural protein 1, or polymerase chain reaction amplification. We used a hierarchical framework to generate a multivariate logistic regression based on a variety of risk variables. This was followed by multiple statistical analyses to assess hierarchical model accuracy, variance, goodness of fit, and whether or not this model reliably represented the population. The final model, which included age, sex, ethnicity, previous dengue infection, hemorrhagic manifestations, plasma leakage, and organ failure, showed that all measured parameters, with the exception of previous dengue, were statistically significant. The presence of organ failure was associated with the highest risk of subsequent dengue hospitalization (OR=5·75; CI=3·53–9·37). Therefore, plasma leakage and organ failure were the main indicators of hospitalization due to dengue, although other variables of minor importance should also be considered to refer dengue patients to hospital treatment, which may lead to a reduction in avoidable deaths as well as costs related to dengue.
机译:图形抽象显示省略了亮点?大多数患者不需要住院治疗。还血浆泄漏和器官失败是由于登革热导致的主要住院指标。还患者年龄与死亡,出血表现和血浆泄漏相关。还患者60年代高等患者比巴西患者摘要,自1998年以来,由于严重程度的指标,邓安因患者的入住病发病率大大增加。我们研究的目的是识别与登革热有关的随后住院相关的风险因素。我们分析了通过血清学(ELISA),非结构蛋白1或聚合酶链反应扩增证实的7613登革热。我们使用分层框架基于各种风险变量来生成多变量逻辑回归。随后是多种统计分析,以评估分层模型精度,方差,适合度,以及该模型是否可靠地代表人口。含有年龄,性别,种族,先前登革热感染,出血表现,血浆泄漏和器官衰竭的最终模型表明,除了先前登革热之外,所有测量的参数都存在统计学意义。器官失败的存在与随后的登革热住院病的最高风险有关(或= 5·75; CI = 3·53-9·37)。因此,血浆泄漏和器官衰竭是由于登革热导致的血浆泄漏和器官失败,尽管也应考虑其他次要变量的变量,以便将登革热患者转诊到医院治疗,这可能导致可避免的死亡和与之相关的成本降低登革热。

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