Centro de Investigación en Ciencias de la Salud Anáhuac (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac, Mexico City.
Centro de Investigación en Ciencias de la Salud Anáhuac (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac, Mexico City.
Int J Infect Dis. 2021 Sep;110:332-336. doi: 10.1016/j.ijid.2021.07.062. Epub 2021 Jul 28.
Identify risk factors associated with increased hospital admission and mortality due to dengue fever (DF), and estimate the risk magnitude associated with each individual variable.
Records of patients diagnosed with dengue were obtained from the Mexican National Epidemiological Surveillance System. Descriptive statistics were performed in all variables. Demographic characteristics and comorbidities were compared between patients based on type of care and mortality. Multivariable analysis was done with a logistic regression model, using two different outcomes: hospitalization and mortality.
A total of 24,495 patients were included in the analysis, with a DF case fatality rate of 0.58%. Patients younger than 10 and older than 60, were found to have a greater risk of both hospitalization and mortality due to DF. Comorbidities associated with a higher risk for hospital admission include cirrhosis, CKD, immunosuppression, diabetes, and hypertension. For mortality, CKD, diabetes, and hypertension were identified as risk factors, along with pregnancy.
Identification of risk factors associated with increased hospitalization and mortality due to DF can help categorize patients that require close monitoring and inpatient care. Early identification of warning signs and patients at increased risk is key to avoiding delay of supportive care.
确定与登革热(DF)住院和死亡风险增加相关的危险因素,并估计与每个个体变量相关的风险程度。
从墨西哥国家流行病学监测系统中获取诊断为登革热的患者记录。对所有变量进行描述性统计。根据护理类型和死亡率比较患者的人口统计学特征和合并症。使用逻辑回归模型进行多变量分析,使用两种不同的结果:住院和死亡。
共纳入 24495 例患者,DF 病死率为 0.58%。年龄小于 10 岁和大于 60 岁的患者因 DF 住院和死亡的风险均增加。与住院相关的合并症包括肝硬化、CKD、免疫抑制、糖尿病和高血压。对于死亡,除了妊娠外,CKD、糖尿病和高血压也被确定为危险因素。
确定与 DF 住院和死亡风险增加相关的危险因素可以帮助对需要密切监测和住院治疗的患者进行分类。早期识别预警信号和高风险患者是避免支持性护理延迟的关键。