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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.