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Table 2 Logistic models with logit links of epidemiological, virological and immunological variables influence on dengue mortality

From: 30 years of dengue fatal cases in Brazil: a laboratorial-based investigation of 1047 cases

Variable (Factor vs.) Factor n (fatal/non-fatal) OR (95% CI) p value
Gender Male 2165 (97/2068) 1.12 (0.88–1.44) 0.42
Female vs
n = 2279 (91/2188)
Serotypes DENV-2 1047 (83/964) 5.67 (3.823–8.68) < 0.0001
DENV-1 vs. DENV-3 1279 (62/1217) 3.36 (2.23–5.50) < 0.0001
n = 1405 (21/1384)
DENV-4 802 (23/779) 1.95 (1.17–3.23) 0.029
DENV-2 vs. DENV-3 1279 (62/1217) 0.59 (0.42–0.83) 0.0024
n = 1047 (83/964)
DENV-4 802 (23/779) 0.34 (0.21–0.54) < 0.0001
DENV-3 vs. DENV-4 802 (23/779) 0.58 (0.35–0.93) 0.0281
n = 1279 (62/1217)
Age (years old) 0–15 710 (38/672) 1.74 (1.17–2.60) 0.021
16–30 vs. 31–50 1205 (44/1161) 1.16 (0.79–1.71) 0.522
n = 1075 (34/1041)
51–96 604 (53/551) 2.94 (2.04–4.30) < 0.0001
0–15 vs. 31–50 1205 (44/1161) 0.66 (0.43–1.04) 0.07
n = 710 (38/672)
51–96 604 (53/551) 1.68 (1.11–2.61) 0.017
31–50 vs. 51–96 604 (53/551) 2.53 (1.68–3.86) < 0.0001
n = 1205 (44/1161)
Immune Responses Secondary 293 (74/219) 0.97 (0.71–1.34) 0.89
Primary
n = 265 (67/198)
  1. To calculate each logistic GLM, Death/Alive outcome was coded as binary variable. Odd ratios (COR), 95% confidence intervals (95%CI) and P-values were calculated using one GLM for each studied variable separately. Values highlighted in bold presented: COR > 1, values of OR contained into the 95%CI range and p-values < 0.05