Table 2.
Changes in medical management in children and adults by diagnostic method.
| Univariate Analysis |
Multivariate Analysisa |
Multivariate Analysisb |
|||||||
|---|---|---|---|---|---|---|---|---|---|
| FilmArray-RP |
IFA |
p | OR (CI95%) | p | OR (CI95%) | p | |||
| n | (%) | n | (%) | ||||||
| Children | 113 | 43 | |||||||
| Total n of children with a medical change | 62 | (54.8) | 6 | (13.9) | <0.001 | 7.77 (3.02–20.03) | <0.001 | 8.07 (3.03–21.47) | <0.001 |
| Decrease in antibiotic prescriptions | 26 | (23.0) | 1 | (2.3) | 0.001 | 13.17 (1.71–101.01) | 0.013 | 12.23 (1.56–96.09) | 0.017 |
| Increase in antibiotic prescriptions | 2 | (1.8) | 1 | (2.3) | 0.697 | ||||
| Decrease in oseltamivir prescriptions | 2 | (1.8) | 1 | (2.3) | 0.621 | ||||
| Increase in oseltamivir prescriptions | 2 | (1.8) | 1 | (2.3) | 0.621 | ||||
| Decrease in complementary studies | 29 | (25.7) | 2 | (4.7) | 0.001 | 6.84 (1.53–30.49) | 0.012 | 9.64 (2.13–43.63) | 0.003 |
| Increase in complementary studies | 6 | (5.1) | 0 | (0.0) | 0.087 | ||||
| Adults | 176 | 100 | |||||||
| Total n of adults with a medical change | 55 | (31.3) | 14 | (14.0) | 0.001 | 2.60 (1.35–5.01) | 0.004 | 2.67 (1.32–5.40) | 0.006 |
| Decrease in antibiotic prescriptions | 24 | (13.6) | 1 | (1.0) | 0.001 | 15.90 (2.10–119.96) | 0.007 | 15.52 (1.99–120.83) | 0.009 |
| Increase in antibiotic prescriptions | 2 | (1.1) | 1 | (1.0) | 0.657 | ||||
| Decrease in oseltamivir prescriptions | 21 | (11.9) | 9 | (9.0) | 0.042 | 1.19 (0.51–2.79) | 0.683 | ||
| Increase in oseltamivir prescriptions | 12 | (6.8) | 3 | (3.0) | 0.091 | ||||
| Decrease in complementary studies | 1 | (0.6) | 0 | (0.0) | 0.594 | ||||
| Increase in complementary studies | 0 | (0.0) | 1 | (1.0) | 0.364 | ||||
| Total n patients with a medical change | 117 | (40.5) | 20 | (14.0) | <0.001 | 4.21 (2.48–7.16) | <0.001 | 4.35 (2.49–7.60) | <0.001 |
FilmArray-RP: BioFire FilmArray respiratory panel, IFA: immunofluorescence assay, OR: odds ratio, CI: confidence interval, n = number, p values <0.05 in bold.
Logistic regression model adjusted for sex and age.
Logistic regression model adjusted for sex, age and randomization.