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. 2015 Feb;70(2):187–196. doi: 10.1016/j.jinf.2014.09.003

Table 2.

Pre-season HI titer detection and effect on homosubtypic infection.

Season Infecting/serology strain Pre-season HI titer n infected/n with titer (%) OR for each 2-fold titer increase [95% CI] OR for each 2-fold titer increase, adjusted for age [95% CI]
1 H1N1 <=10 35/486 (7.2) 0.95 [0.63–1.43]; 0.86 [0.54–1.36];
A/Brisbane/59/2007-like 20 3/36 (8.3) p = 0.79 p = 0.52
40 2/21 (9.5)
80 0/5 (0.0)
1 H3N2 <=10 9/359 (2.5) 0.91 [0.71–1.17]; 0.75 [0.48–1.16];
A/Brisbane/10/2007-like 20 1/73 (1.4) p = 0.45 p = 0.19
40 2/56 (3.6)
≥80 0/60 (0.0)
1 B/Florida/04/2006-like <=10 53/285 (18.6) 0.65 [0.53–0.79]; 0.65 [0.54–0.80];
20 8/121 (6.6) p < 0.0001 p < 0.0001
40 8/67 (11.9)
≥80 1/75 (1.3)
2 H1N1 <=10 38/410 (9.3) 1.10 [0.89–1.36]; 0.90 [0.71–1.15];
A/Brisbane/59/2007-like 20 7/51 (13.7) p = 0.39* p = 0.40*
40 2/19 (10.5)
≥80 0/14 (0.0)
2 H3N2 <=10 67/404 (16.6) 0.69 (0.52–0.90); 0.61 [0.44–0.84];
A/Perth/16/2009-like 20 2/48 (4.2) p = 0.008 p = 0.002
40 2/23 (8.7)
≥80 0/19 (0.0)
2 B/Florida/04/2006-like <=10 47/302 (15.6) 0.79 [0.65–0.97]; 0.78 [0.63–0.97];
20 6/93 (6.5) p = 0.03 p = 0.02
40 4/73 (5.5)
≥80 2/26 (7.7)
3 H1N1 <=10 103/526 (19.6) 0.54 [0.27–1.10]; 0.77 [0.40–1.49];
A/California/04/09-like ≥20 1/14 (7.1) p = 0.09 p = 0.43

Note that titers are modeled as a continuous variable and do not use the categorization shown, therefore 0 values in a category do not prevent analysis.

*/** Test for non-linear (quadratic) effect of (log2-) titer on outcome: p < 0.05 (*).

Between-strain comparisons of titer effects on the risk of infection (not adjusted for age):

- H1 vs. H3: p = 0.07 (using data from all 3 seasons) [p = 0.87 (season 1), p = 0.008 (season 2)].

- H1 vs. B: p = 0.003 (using data from all 3 seasons) [p = 0.10 (season 1), p = 0.03 (season 2)].

Between-strain comparisons of titer effects on the risk of infection (adjusted for age):

- H1 vs. H3: p = 0.03 (using data from all 3 seasons) [p = 0.82 (season 1), p = 0.006 (season 2)].

- H1 vs. B: p = 0.02 (using data from all 3 seasons) [p = 0.18 (season 1), p = 0.09 (season 2)].