Journal of Microbiology, Immunology and Infection (Oct 2023)

In-hospital mortality predictors among hospitalized adults and those with chronic kidney disease with dengue

  • Ing-Kit Lee,
  • Nan-Yao Lee,
  • Wen-Chi Huang,
  • Jui-Chi Hsu,
  • Chien-Hsiang Tai,
  • Cheng Hsun Yang,
  • Chung-Hao Huang,
  • Chun-Yu Lin,
  • Ko Chang,
  • Yen-Hsu Chen

Journal volume & issue
Vol. 56, no. 5
pp. 996 – 1006

Abstract

Read online

Background: Accurately identifying risk factors that predict fatality in dengue is crucial for patient triage and clinical management. Our objective was to identify predictors of death associated with dengue and investigate the clinical characteristics and risk factors among patients with chronic kidney disease (CKD) who died from dengue. Methods: A multicenter longitudinal observation study conducted from 2008 to 2019. Results: A total of 1272 patients (113 who died and 1186 who recovered) diagnosed with dengue were included. Old age, CKD, and an elevated white blood cell count at hospital presentation were identified as independent predictors of in-hospital mortality among individuals infected with the dengue virus. In a subgroup analysis of 138 patients with CKD infected with dengue virus, 64 (46.3%) patients died, with 46 (33.3%) patients dying within 7 days after symptom onset. Among 64 fatal dengue patients with CKD, 34.4% were in stages 2 and 3 of kidney disease, 51.5% were in stages 4 and 5, and 14.1% had end stage renal disease as per the classification by Kidney Disease Improving Global Outcomes. Multivariate analysis revealed that initial altered consciousness, pulmonary edema, and leukocytosis during hospitalization were independently associated with in-hospital mortality in CKD patients infected with the dengue virus. Leukocytosis during hospitalization and severe hepatitis were independent risk factors for death within 7 days after dengue illness onset in CKD patients. Conclusions: This study offers valuable insights into predictors linked to fatality in dengue and reinforces the importance of optimizing patient triage to improve the quality of care.

Keywords