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. 2024 Oct 16;15:1462802. doi: 10.3389/fmicb.2024.1462802

Table 3.

Association between the epidemiological profile of Brazilian patients hospitalized due to severe acute respiratory syndrome caused by the influenza virus who presented co-detection by other respiratory viruses and the outcomes after hospitalization.

Marker Group Death Hospital discharge Total p-value OR (95%CI)
Influenza A virus Yes 28 (7.0%) 372 (93.0%) 400 1.000 1.08 (0.41–2.90)
No 5 (6.5%) 72 (93.5%) 77 Reference
Influenza B virus Yes 5 (6.5%) 72 (93.5%) 77 1.000 0.92 (0.34–2.47)
No 28 (7.0%) 372 (93.0%) 400 Reference
Adenovirus Yes 3 (4.7%) 61 (95.3%) 64 0.601 0.63 (0.12–2.12)
No 30 (7.3%) 383 (92.7%) 413 Reference
Bocavirus Yes 4 (25.0%) 12 (75.0%) 16 0.019 4.94 (1.09–17.66)
No 29 (6.3%) 432 (93.7%) 461 Reference
Metapneumovirus Yes 4 (22.2%) 14 (77.8%) 18 0.029 4.21 (0.95–14.60)
No 29 (6.3%) 430 (93.7%) 459 Reference
Parainfluenza virus type 1 Yes 3 (5.9%) 48 (94.1%) 51 1.000 0.83 (0.16–2.81)
No 30 (7.0%) 396 (93.0%) 426 Reference
Parainfluenza virus type 2 Yes 1 (5.9%) 16 (94.1%) 17 1.000 0.84 (0.02–5.73)
No 32 (7.0%) 428 (93.0%) 460 Reference
Parainfluenza virus type 3 Yes 3 (12.0%) 22 (88.0%) 25 0.404 1.92 (0.35–6.94)
No 30 (6.6%) 422 (93.4%) 452 Reference
Parainfluenza virus type 4 Yes 0 (0.0%) 7 (100.0%) 7 1.000 Not applicable
No 33 (7.0%) 437 (93.0%) 470 -
Rhinovirus Yes 9 (13.4%) 58 (86.6%) 67 0.035 2.50 (1.11–5.63)
No 24 (5.9%) 386 (94.1%) 410 Reference
Respiratory syncytial virus Yes 10 (4.0%) 243 (96.0%) 253 0.007 0.36 (0.17–0.77)
No 23 (10.3%) 201 (89.7%) 224 Reference
Number of co-infections One virus 30 (6.8%) 411 (93.2%) 441 Reference
Two viruses 2 (6.5%) 29 (93.5%) 31 1.000 0.95 (0.10–4.05)
Three viruses 1 (20.0%) 4 (80.0%) 5 0.607 3.41 (0.07–35.90)
Number of co-infections (grouped) One virus 30 (6.8%) 411 (93.2%) 441 Reference
+2 (two or three viruses) 3 (8.3%) 33 (91.7%) 36 0.925 1.25 (0.36–4.30)
Gender Male 17 (7.0%) 225 (93.0%) 242 1.000 1.03 (0.51–2.10)
Female 16 (6.8%) 219 (93.2%) 235 Reference
Age (years of age) <24 9 (2.7%) 321 (97.3%) 330 <0.001 0.18 (0.07–0.48)
25 to 60 9 (13.2%) 59 (86.8%) 68 Reference
>61 15 (19.0%) 64 (81.0%) 79 0.473 1.54 (0.62–3.78)
Race White people 12 (4.1%) 283 (95.9%) 295 <0.001 Reference
Other racesa 21 (11.5%) 161 (88.5%) 182 3.08 (1.48–6.42)
Place of residence Urban 30 (6.5%) 431 (93.5%) 461 0.091 0.30 (0.08–1.12)
Rural + peri-urban 3 (18.8%) 13 (81.2%) 16 Reference
Nosocomial infection Yes 1 (6.7%) 14 (93.3%) 15 1.000 0.96 (0.02–6.71)
No 32 (6.9%) 430 (93.1%) 462 Reference
Fever Yes 23 (6.1%) 352 (93.9%) 375 0.269 0.60 (0.28–1.31)
No 10 (9.8%) 92 (90.2%) 102 Reference
Cough Yes 27 (6.2%) 405 (93.8%) 432 0.112 0.43 (0.17–1.11)
No 6 (13.3%) 39 (86.7%) 45 Reference
Sore throat Yes 6 (8.7%) 63 (91.3%) 69 0.606 1.34 (0.53–3.39)
No 27 (6.6%) 381 (93.4%) 408 Reference
Dyspnea Yes 30 (8.0%) 346 (92.0%) 376 0.119 2.83 (0.85–14.78)
No 3 (3.0%) 98 (97.0%) 101 Reference
Respiratory discomfort Yes 28 (7.6%) 340 (92.4%) 368 0.297 1.71 (0.65–4.55)
No 5 (4.6%) 104 (95.4%) 109 Reference
Peripheral oxygen saturation <95% 25 (6.8%) 340 (93.2%) 365 1.000 0.96 (0.42–2.18)
≥95% 8 (7.1%) 104 (92.9%) 112 Reference
Diarrhea Yes 3 (5.8%) 49 (94.2%) 52 1.000 0.81 (0.15–2.75)
No 30 (7.1%) 395 (92.9%) 425 Reference
Vomit Yes 1 (1.4%) 69 (98.6%) 70 0.069 0.17 (<0.01–1.06)
No 32 (7.9%) 375 (92.1%) 407 Reference
Fatigue and asthenia Yes 5 (7.0%) 66 (93.0%) 71 1.000 1.02 (0.38–2.74)
No 28 (6.9%) 378 (93.1%) 406 Reference
Other clinical signs and symptomsb Yes 21 (6.4%) 305 (93.6%) 326 0.563 0.80 (0.38–1.67)
No 12 (7.9%) 139 (92.1%) 151 Reference
Presence of at least one comorbidity Yes 20 (12.0%) 147 (88.0%) 167 0.002 3.11 (1.50–6.42)
No 13 (4.2%) 297 (95.8%) 310 Reference
Cardiopathy Yes 13 (19.1%) 55 (80.9%) 68 <0.001 4.60 (2.17–9.76)
No 20 (4.9%) 389 (95.1%) 409 Reference
Hematological disorder Yes 0 (0.0%) 6 (100.0%) 6 1.000 Not applicable
No 33 (7.0%) 438 (93.0%) 471 -
Down syndrome Yes 0 (0.0%) 3 (100.0%) 3 1.000 Not applicable
No 33 (7.0%) 441 (93.0%) 474 -
Liver disorder Yes 2 (50.0%) 2 (50.0%) 4 0.026 14.05 (0.99–199.9)
No 31 (6.6%) 442 (93.4%) 473 Reference
Asthma Yes 0 (0.0%) 40 (100.0%) 40 0.098 Not applicable
No 33 (7.6%) 404 (92.4%) 437 -
Diabetes mellitus Yes 6 (17.1%) 29 (82.9%) 35 0.026 3.18 (1.22–8.32)
No 27 (6.1%) 415 (93.9%) 442 Reference
Neurological disorder Yes 3 (13.0%) 20 (87.0%) 23 0.207 2.12 (0.38–7.76)
No 30 (6.6%) 424 (93.4%) 454 Reference
Chronic respiratory disorder Yes 4 (15.4%) 22 (84.6%) 26 0.096 2.64 (0.62–8.53)
No 29 (6.4%) 422 (93.6%) 451 Reference
Immunosuppression Yes 4 (28.6%) 10 (71.4%) 14 0.012 5.94 (1.29–22.25)
No 29 (6.3%) 434 (93.7%) 463 Reference
Kidney disorder Yes 3 (21.4%) 11 (78.6%) 14 0.065 3.92 (0.67–15.95)
No 30 (6.5%) 433 (93.5%) 463 Reference
Obesity Yes 1 (8.3%) 11 (91.7%) 12 0.581 1.23 (0.03–8.96)
No 32 (6.9%) 433 (93.1%) 465 Reference
Other comorbidities Yes 11 (19.3%) 46 (80.7%) 57 0.001 4.33 (1.97–9.49)
No 22 (5.2%) 398 (94.8%) 420 Reference
Antivirals to treat the flu symptomsc Yes 11 (8.0%) 126 (92.0%) 137 0.553 1.26 (0.59–2.68)
No 22 (6.5%) 318 (93.5%) 340 Reference
Need for an intensive care unit Yes 23 (15.6%) 124 (84.4%) 147 <0.001 5.94 (2.75–12.83)
No 10 (3.0%) 320 (97.0%) 330 Reference
Need for ventilatory support Invasive 15 (32.6%) 31 (67.4%) 46 <0.001 8.01 (3.22–19.95)
Non-invasive 9 (3.3%) 264 (96.7%) 273 0.34 0.56 (0.22–1.45)
Not performed 9 (5.7%) 149 (94.3%) 158 Reference

95%CI, 95% confidence interval; %, percentage; N, number of individuals; OR, odds ratio.

a

Other races included the patients self-declared as Black people, Asian individuals, Mixed individuals (Pardos), and Indigenous peoples.

b

Other clinical signs and symptoms summarize all the clinical signs and symptoms that were not listed previously in the dataset.

c

The antiviral therapy was used at the discretion of the attending physician; then it was not indicated based on severe phenotype or the need for ventilatory support. The data were collected in the Open-Data-SUS (https://opendatasus.saude.gov.br/). The data comprised the period from December 19, 2019, to April 06, 2023—three years since the beginning of the coronavirus disease (COVID)-19 pandemic in Brazil. The Chi-square test or Fisher’s exact test was used to estimate the distribution of clinical and epidemiological markers with respect to outcomes (death or hospital discharge). The alpha error of 0.05 was considered in the bivariate analyses carried out in the study.