Skip to main content

Advertisement

Table 1 Demographics, clinical features, and outcomes of patients with influenza, dengue, and other febrile illnesses

From: Use of simple clinical and laboratory predictors to differentiate influenza from dengue and other febrile illnesses in the emergency room

Variable Influenza (n = 526) Dengue (n = 148) Other febrile illnesses (n = 175) P a P b
Mean age (± SD), years 13.6 ± 13.5 45.1 ± 4.5 15.3 ± 15.9 <0.001 0.941
Age group (n, [%])      
≤ 18 years 445 (84.6) 24 (16.2) 130 (74.3) - -
>18 years 81 (15.4) 124 (83.8) 45 (25.7) - -
Male gender (n, [%]) 315 (59.9) 83 (56.1) 106 (60.6) 0.406 0.873
Underlying conditionc (n, [%])      
Bronchial asthma 14 (26.7) 0 5 (2.9) - -
Diabetes mellitus 10 (1.9) 17 (11.5) 2 (1.1) - -
Hypertension 15 (2.8) 30 (20.3) 2 (1.1) - -
Influenza A virus subtype (n, [%])      
Pandemic 2009 H1N1 447 (85) - - - -
Seasonal H3N2 79 (15) - - - -
Dengue disease severity (n, [%])      
Dengue without warning signs - 64 (43.2) - - -
Dengue with warning signs - 77 (52) - - -
Severe dengue - 7 (4.7) - - -
Dengue virus serotypes (n/N, [%])      
Serotype I - 10/40 (25) - - -
Serotype II - 17/40 (42.5) - - -
Serotype III - 12/40 (30) - - -
Serotype IV - 1/40 (2.5) - - -
Mean interval from onset of symptoms to emergency room presentation, days (± SD) 1.7 ± 1.2 3.7 ± 1.8 3.0 ± 2.1 - -
Mean fever duration, days (± SD) 2.8 ± 1.6 4.0 ± 2.3 ND <0.001 -
Use of oseltamivir >48 h (n/N, [%]) 107/364 (29.4) - - - -
Fatalities (n, [%]) 5 (0.9) 0 0 0.234 0.196
  1. n/N = number of patients/total number of patients with data available; ND = no data.
  2. aInfluenza vs. dengue.
  3. bInfluenza vs. other febrile illnesses.
  4. cAn individual patient might have more than one underlying disease/condition.