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. 2021 Mar 26;21:306. doi: 10.1186/s12879-021-05996-x

Table 3.

Logistic regression analysis of associations between respiratory viruses and clinical diagnosis

Virus Upper respiratory tract infections
(N = 2383)
Croup
(N = 141)
Lower respiratory tract infections
(N = 2356)
n (%) OR (95% CI) n (%) OR (95% CI) n (%) OR (95% CI)
RSVA 64 (1.3%) 0.16 (0.12–0.21) 302 (6.2%) 5.50 (4.20–7.20)
RSVB 46 (0.9%) 0.11 (0.08–0.15) 325 (6.7%) 8.40 (6.19–11.40)
FluA 235 (4.8%) 2.88 (2.15–3.86) 58 (1.2%) 0.31 (0.23–0.42)
FluB 120 (2.5%) 4.89 (2.98–8.04) 17 (0.3%) 0.19 (0.11–0.32)
PIV1 40 (0.8%) 0.31 (0.21–0.46) 30 (0.6%) 17.20 (10.30–28.75)
PIV2 8 (0.2%) 22.22 (9.24–53.47)
PIV3 89 (1.8%) 0.52 (0.39–0.69) 21 (0.4%) 5.34 (3.13–9.12) 127 (2.6%) 1.40 (1.06–1.85)
PIV4 14 (0.3%) 0.37 (0.19–0.72) 28 (0.8%) 2.38 (1.26–4.50)
HMPV 65 (1.3%) 0.18 (0.14–0.24) 264 (5.4%) 5.43 (4.09–7.20)
HRV/EV 587 (12.0%) 0.63 (0.55–0.73) 712 (14.6%) 1.54 (1.33–1.79)
ADV 603 (12.4%) 3.41 (2.81–4.14) 4 (0.1%) 0.22 (0.08–0.61) 164 (3.4%) 0.31 (0.26–0.38)
HCoV 8 (0.2%) 3.60 (1.67–7.73) 50 (1.0%) 0.63 (0.42–0.92)
HBoV 71 (1.5%) 0.37 (0.28–0.50) 175 (3.6%) 2.70 (2.01–3.61)

Only the variables with p < 0.05 were shown