Atypical presentations of dengue disease in the elderly visiting the ED

Am J Emerg Med. 2013 May;31(5):783-7. doi: 10.1016/j.ajem.2013.01.011. Epub 2013 Feb 8.

Abstract

Objective: The objective was to compare the clinical characteristics of elderly and young adult patients with dengue in the emergency department (ED).

Methods: Demographic characteristics, clinical presentation, disease severity, laboratory characteristics, and outcomes were analyzed prospectively as a case-control study.

Results: Of the 193 adults with serologically confirmed dengue disease in 2007, 31 (16.1%) were elderly patients (aged ≥65) and 162 were young adults (aged <65). More dengue hemorrhagic fever (12.9% vs 2.5%, P = .02), a longer ED stay (13.3 vs 8.6 hours, P = .004), a longer hospital stay (7.4 vs 3.4 days, P < .001), a higher Simplified Acute Physiology Score II in the ED (29.7 vs 17.4, P < .001), and a higher rate of at least 1 comorbidity (61.8 vs 22.8%, P < .001) were found in the elderly. However, the length of the intensive care unit stay (elderly 0.7 vs young adults 0.3 day, P = .47) and the 14-day mortality rate (0% vs 0.6%, P = 1.00) were similar. Of note, in terms of clinical presentations of dengue in the ED, there were more elderly patients with isolated fever (41.9% vs 17.9%, P = .003) and fewer with typical presentation (41.9% vs 75.9%, P = <.001) than there were young adults.

Conclusions: The present study found a higher number of atypical presentations, a longer hospitalization, and a higher degree of clinical illness in elderly patients with dengue.

Publication types

  • Clinical Trial

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Biomarkers / blood
  • Case-Control Studies
  • Dengue / blood
  • Dengue / complications
  • Dengue / diagnosis*
  • Dengue / mortality
  • Emergency Service, Hospital*
  • Female
  • Follow-Up Studies
  • Humans
  • Length of Stay / statistics & numerical data
  • Male
  • Middle Aged
  • Prospective Studies
  • Severity of Illness Index
  • Taiwan

Substances

  • Biomarkers