Table 2 Univariate logistic regression models identify predictors of LASV outcomes

From: Metagenomic surveillance uncovers diverse and novel viral taxa in febrile patients from Nigeria

Variable

No. (%) with Data

Median (IQR) or N (%)

Univariate P-value

Unadjusted OR (95% CI)

Demographics

 Age

380 (95.0%)

31 (21.8–45)

0.06

1.01 (1.00–1.03)

 Sex

398 (99.5%)

165 (41.5%) female

0.32

0.74 (0.40–1.33)

 Pregnant

94 (57%)

4 (4.3%) of females

0.36

3.00 (0.14–26.45)

Clinical data

 Mean Ct

391 (97.8%)

36.9 (31.5–40.8)

2.79 × 10−14***

0.81 (0.76–0.85)

 Ribavirin

386 (96.5%)

257 (66.6%) treated

0.01*

0.48 (0.27–0.87)

 Outcome

400 (100%)

346 (86.5%) survived

NA

NA

Co-infections

 Malaria

149 (37.3%)

101 (67.8%)

0.76

1.21 (0.38–4.60)

 HIV-1

400 (100%)

3 (0.8%)

0.34

3.25 (0.15–34.45)

 Pegivirus C

400 (100%)

25 (6.3%)

0.18

0.25 (0.01–1.24)

  1. No. (%), number (percent) of cases with available data. IQR interquartile range. OR (95% CI), odds ratio (95% confidence interval). CIs, ORs, and unadjusted p-values generated via univariate logistic regression. ***p < 0.001. *p < 0.05. NA not applicable.