| Literature DB >> 27503065 |
Georgina Armero1, Cristian Launes2, Lluïsa Hernández-Platero3, Carme Alejandre4, Carmen Muñoz-Almagro5, Iolanda Jordan6.
Abstract
Entities:
Mesh:
Year: 2016 PMID: 27503065 PMCID: PMC7133628 DOI: 10.1016/j.jinf.2016.07.010
Source DB: PubMed Journal: J Infect ISSN: 0163-4453 Impact factor: 6.072
Epidemiological characteristics, clinical variables and microbiological data of children with lower-respiratory-tract infection and Rhinovirus detection in comparison to children in whom other viruses were detected.
| No rhinovirus | Rhinovirus | p-value* | p-value† | Total | ||
|---|---|---|---|---|---|---|
| As sole viral detection | With other viral detection | |||||
| 41 | 44 | 11 | – | 96 | ||
| 6 m–2 y | 26 (64%) | 23 (52%) | 8 (72%) | 57 (59%) | ||
| 2–5 y | 10 (24%) | 14 (32%) | 3 (27%) | 27 (28%) | ||
| >5 y | 5 (12%) | 7 (16%) | 0 (0%) | 12 (13%) | ||
| Median age (month-old)‡ | 15.0 (12.0–9.5) | 20.5 (9.2–42.2) | 16.0 (9.0–31.0) | 0.30 | 0.57 | 18 (11.0–35.8) |
| Male | 22 (54%) | 26 (59%) | 5 (45%) | 0.50 | 0.79 | 53 (55%) |
| Fever | 27 (66%) | 21 (48%) | 6 (55%) | 0.69 | 0.10 | 53 (55%) |
| Chest-X-ray with ≥1 quadrant opacities | 25 (61%) | 26 (59%) | 5 (45%) | 0.66 | 0.80 | 56 (58%) |
| PRISM score at PICU admission‡ | 3 (1–4) | 3 (0–6) | 3 (0–3) | 0.23 | 0.86 | 3 (0–5) |
NIV-exclusively | 22 (54%) | 26 (59%) | 7 (64%) | 0.97 | 0.53 | 55 (57%) |
CMV | 13 (32%) | 14 (32%) | 4 (36%) | 0.91 | 0.91 | 31 (32%) |
HFOV | 4 (10%) | 4 (10%) | 0 (0%) | 0.64 | 0.66 | 8 (8%) |
NIV | 2.5 (1.5–4.2) | 1.8 (1.3–3.5) | 2.2 (1.2–4.0) | 0.81 | 0.31 | 2.3 (1.5–3.9) |
CMV | 4.9 (2.8–8.3) | 5.0 (2.9–8.3) | 10.0 (4.5–14.7) | 0.19 | 0.53 | 5.0 (3.0–8.4) |
Total | 3.2 (1.8–6.1) | 3.3 (1.5–7.7) | 4 (1.9–11) | 0.60 | 0.47 | 3.3 (1.6–11.2) |
| PICU stay (days)‡ | 4 (3–7) | 4 (3–10) | 5 (3–12) | 0.79 | 0.48 | 4 (3–8) |
| PICU stay >75th percentile | 7 (17%) | 12 (27%) | 4 (36%) | 0.71 | 0.17 | 23 (24%) |
| Suspected bacterial infection | 12 (29%) | 9 (20%) | 3 (27%) | 0.69 | 0.40 | 24 (25%) |
| Bacterial detection in tracheal aspirate | 8/16 (50%) | 8/13 (61%) | 1/2 (50%) | 1.00 | 0.57 | 17/31 (55%) |
PRISM III indicates Pediatric Risk Score of Mortality III; PICU, Pediatric Intensive Care Unit; CMV, Conventional Mechanical Ventilation; NIV, Non-Invasive Ventilation; HFOV, High Frequency Oscillatory Ventilation. * Rhinovirus as sole viral detection vs Rhinovirus plus other viral detections, † Rhinovirus vs no Rhinovirus, ‡ Median (interquartile range). Proportions between the groups were compared using Pearson Chi-square or Fisher exact test when the expected count in any category was <5. For continuous variables, the Mann–Whitney U test was performed.
Epidemiological data and variables of severity in relation to microbiological data of children who underwent invasive mechanical ventilation with rhinovirus infection.
| Rhinovirus | |||||
|---|---|---|---|---|---|
| No criteria of suspected bacterial infection | Fulfilling criteria of suspected bacterial infection | ||||
| Without bacterial detection in tracheal aspirates | With bacterial detection in tracheal aspirates | Without bacterial detection in tracheal aspirates | With bacterial detection in tracheal aspirates | ||
| 6 | 2 | 0 | 7 | – | |
| 6 m–2 y | 2 | 2 | – | 3 | |
| 2–5 y | 3 | 0 | – | 2 | |
| >5 y | 1 | 0 | – | 2 | 0.49 |
| Male | 4 | 0 | – | 5 | 0.17 |
| Days of MV (median, IQR) | 4.2 (3.0–12.8) | 24.6 (21.4–27.7) | – | 9.0 (8.1–10.6) | 0.04 |
| Need of HFOV | 0 | 1 | – | 1 | 0.19 |
| PICU stay >75th percentile | 2 | 2 | – | 7 | 0.01 |
| Viruses | 5 RV as sole viral detection 1 RV + Parainfluenza Virus 3 | 1 RV as sole viral detection | – | 7 RV as sole viral detection 2 | |
Suspected bacterial infection criteria: fever >38 °C with laboratory abnormality (Reactive C-Protein >70 mg/dl o Procalcitonin >1 ng/ml) and one or more thoracic radiography infiltrates and antibiotic/s prescription during the first 24 h of admission.
RV, Rhinovirus; MV, Mechanical Ventilation; HFOV, High Frequency Oscillatory Ventilation; PICU, Pediatric Intensive Care Unit.
Proportions between the groups were compared using Pearson Chi-square test. For continuous variables, the Kruskal–Wallis analysis was performed.