Predictors of mortality in individuals infected with dengue: An Indian case study

Q4 Medicine
Parthraj Shenoy, Ashok Kumar Pannu, Atul Saroch, Sourabh S. Sharda, Mandeep Bhatia, Deba Parsad Dhibar
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Abstract

Background and objectives

Dengue infection and its associated complication contributes to a significant number of deaths as per World Health Organization (WHO) statistics. The aim of the study is to identify Predictors associated with mortality in Dengue infection.

Materials and methods

In this prospective observational study conducted at the tertiary care hospitals of north India from August 2023 to December 2024, confirmed cases of dengue fever with a duration of less than seven days were recruited. Patients classified into Survivors or non-survivors, variables that were found to have statistically significant associations on univariate analysis were subjected to multivariate analysis by logistic regression by enter method for predictors of dengue mortality.

Results

A total of 158 dengue patients were recruited of which 18 (11.4%) died from the disease. Altered mental status, dyspnea at rest, and decreased urine output were significantly more frequent among non-survivors. Regarding laboratory parameters, non-survivor group exhibited significantly elevated levels of total leukocyte count, urea, creatinine, liver enzymes and International normalized ratio. Application of logistic regression using 3 factors-qSOFA (quick sequential organ failure assessment), creatinine and ferritin were performed which showed a statistically significant association with creatinine and ferritin. Odd Ratio (OR) for creatinine 1.449 indicates that for every unit increase in creatinine, the odds of mortality increase by 44.9%. Although the OR is exactly 1, the tight CI around 1 suggests that elevated ferritin is associated with mortality, but with a small effect size (p – 0.047).

Conclusions

The presence of raised creatinine and elevated serum ferritin were predictors associated with a higher risk of mortality.
登革热感染个体死亡率的预测因素:一个印度案例研究
背景和目的根据世界卫生组织(WHO)的统计数据,登革热感染及其相关并发症是造成大量死亡的原因。该研究的目的是确定与登革热感染死亡率相关的预测因素。材料和方法这项前瞻性观察研究于2023年8月至2024年12月在印度北部三级医院进行,招募持续时间少于7天的登革热确诊病例。患者分为幸存者或非幸存者,在单变量分析中发现有统计学显著关联的变量,通过输入法对登革热死亡率预测因子进行logistic回归多变量分析。结果共纳入158例登革热患者,其中死亡18例(11.4%)。精神状态改变、休息时呼吸困难和尿量减少在非幸存者中更为常见。关于实验室参数,非幸存者组表现出明显升高的总白细胞计数、尿素、肌酐、肝酶和国际标准化比率。应用qsofa(快速顺序器官衰竭评估)、肌酐和铁蛋白3因素进行logistic回归分析,结果显示肌酐和铁蛋白的相关性有统计学意义。肌酐的奇数比(OR)为1.449,表明肌酐每增加一个单位,死亡率增加44.9%。虽然OR正好为1,但接近1的紧密CI表明铁蛋白升高与死亡率相关,但效应量较小(p - 0.047)。结论肌酐升高和血清铁蛋白升高是死亡率增高的预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medicina Clinica Practica
Medicina Clinica Practica Medicine-Medicine (all)
CiteScore
0.60
自引率
0.00%
发文量
55
审稿时长
43 days
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