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Table 2 Severity parameters of laboratory-confirmed influenza cases according to different age groups

From: The burden of laboratory-confirmed influenza infection in Lebanon between 2008 and 2016: a single tertiary care center experience

 

Total n (%)

[0–2[ n (%)

[2–5[ n (%)

[5–10[ n (%)

[10–19[ n (%)

[19–50[ n (%)

[50–65[ n (%)

≥65 n (%)

p-value

Moderate to severe disease (N = 1399)

591 (42.2)

80 (51.9)

103 (52.0)

95 (45.5)

60 (28.0)

91 (29.3)

73 (49.7)

89 (53.6)

< 0.001

Hospitalization rate (N = 1787)

475 (26.6)

57 (34.5)

37 (16.2)

24 (7.3)

24 (7.5)

103 (25.5)

99 (60.4)

131 (74.9)

< 0.001

ICU admission (N = 1767)

70 (4.0)

13 (8.0)

6 (2.6)

1 (0.3)

2 (0.6)

14 (3.5)

11 (6.7)

23 (13.2)

< 0.001

Oxygen supplementation (N = 1613)

121 (7.5)

13 (9.4)

8 (4.1)

6 (2.1)

3 (1.1)

17 (4.4)

25 (15.5)

49 (28.3)

< 0.001

Mechanical ventilation (N = 1767)

35 (2.0)

8 (4.9)

5 (2.2)

1 (0.3)

2 (0.6)

8 (2.0)

4 (2.4)

7 (4.0)

0.002a

Complication rate (N = 1245)

295 (23.7)

45 (34.4)

36 (22.1)

20 (11.6)

16 (9.6)

51 (16.9)

52 (35.6)

75 (45.5)

< 0.001

Mortality rate in hospitalized patients (N = 469)

18 (3.8)

2 (3.6)

2 (5.7)

0 (0.0)

0 (0.0)

3 (2.9)

5 (5.1)

6 (4.6)

0.909a

Duration of ICU stay in days, mean (±SD) (N = 70)

9.2 (±8.9)

8.2 (±5.2)

8.7 (8.8)

22b

5.5 (±6.4)

12.6 (±12.3)

7.7 (±6.6)

8.2 (9.3)

0.533

Duration of hospital stay in days, mean (±SD) (N = 473)c

7.0 (±8.8)

8.5 (±10.3)

8.1 (±8.7)

7.2 (13.1)

6.6 (±5.0)

6.5 (±8.7)

6.4 (±6.8)

7.0 (±8.8)

0.788

  1. Pearson’s Chi-Square test was used (no expected count less than 5)
  2. aFisher’s exact test was used when expected count was less than 5
  3. bOnly one patient was admitted to ICU in this age group
  4. cTwo patients were excluded; one stayed in 113 days and the other stayed for 262 days related to their underlying medical condition (Neuromuscular disease and cerebral palsy)
  5. To note that a different denominator was used to calculate the rate of each variable. The denominator depended on the number of cases with available data on the studied variable