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...the participating hospitals were either university hospitals (n = 9) or large teaching hospitals (n = 3), and 11 EDs had paediatric intensive care facilities. Collected data included age, sex, ...season, referral, comorbidity (chronic condition expected to last at least 1 year) 22, triage urgency, fever duration, fever measured at ED, presence of “red traffic light” symptoms for identifying risk of serious illness (alarming signs) (from the National Institute for Health and Care Excellence NICE guideline on fever 23: decreased consciousness, ill appearance, work of breathing, meningeal signs, focal neurology, non-blanching rash, dehydration, status epilepticus), previous antibiotic use, vital signs (heart rate, respiratory rate, oxygen saturation, temperature, capillary refill time), laboratory results (white blood cell count, C-reactive protein CRP, urinalysis), imaging (chest X-ray and other imaging), microbiological investigations (cultures and respiratory viral tests), and disposition (intensive care unit admission, general ward admission or discharge). The focus of infection was categorised as upper respiratory tract (otitis media, tonsillitis/pharyngitis, other), lower respiratory tract, gastrointestinal tract, urinary tract, skin, musculoskeletal, sepsis, central nervous system, flu-like illness, childhood exanthem, inflammatory syndrome, undifferentiated fever, or other. CRP, C-reactive protein; LRTI, lower respiratory tract infection; URTI, upper respiratory tract infection. *Patients could have identified viral co-infection. https://doi.org/10.1371/journal.pmed.1003208.g001 We aimed to improve data quality and standardised data collection by using a training module for the local clinical and research teams to optimise clinical assessment and data collection for febrile children.
Human coronaviruses (HCoVs) are associated with a variety of clinical presentations in children, but their role in disease remains uncertain. The objective of our prospective study was to investigate ...HCoVs associations with various clinical presentations in hospitalized children up to 6 years of age. Children hospitalized with acute bronchiolitis (AB), acute gastroenteritis (AGE), or febrile seizures (FS), and children admitted for elective surgical procedures (healthy controls) were included in the study. In patients with AB, AGE, and FS, a nasopharyngeal (NP) swab and blood sample were obtained upon admission and the follow-up visit 14 days later, whereas in children with AGE a stool sample was also acquired upon admission; in healthy controls a NP swab and stool sample were taken upon admission. Amplification of polymerase 1b gene was used to detect HCoVs in the specimens. HCoVs-positive specimens were also examined for the presence of several other viruses. HCoVs were most often detected in children with FS (19/192, 9.9%, 95% CI: 6-15%), followed by children with AGE (19/218, 8.7%, 95% CI: 5.3-13.3%) and AB (20/308, 6.5%, 95% CI: 4.0-9.8%). The presence of other viruses was a common finding, most frequent in the group of children with AB (19/20, 95%, 95% CI: 75.1-99.8%), followed by FS (10/19, 52.6%, 95% CI: 28.9-75.6%) and AGE (7/19, 36.8%, 95% CI: 16.3-61.6%). In healthy control children HCoVs were detected in 3/156 (1.9%, 95% CI: 0.4-5.5%) NP swabs and 1/150 (0.7%, 95% CI: 0.02-3.3%) stool samples. It seems that an etiological role of HCoVs is most likely in children with FS, considering that they had a higher proportion of positive HCoVs results than patients with AB and those with AGE, and had the highest viral load; however, the co-detection of other viruses was 52.6%.
ClinicalTrials.gov NCT00987519.
This study determines and compares the frequency of human mastadenovirus (HAdV) presence in children with acute bronchiolitis (AB), acute gastroenteritis (AGE), and febrile seizures (FS), ascertains ...types of HAdVs associated with each individual syndrome and contrasts the findings with a control group of children. The presence of HAdVs was ascertained in simultaneously collected nasopharyngeal (NP) swabs and stool samples amplifying the hexon gene by RT-PCR; these were sequenced to determine the types of HAdVs. HAdVs were grouped into eight different genotypes. Of these, three (F40, F41, and A31) were found solely in stool samples, whereas the others (B3, C1, C2, C5, and C6) were found in both stool samples and NP swabs. The most common genotypes in NP swabs were C2 (found in children with AGE and FS) and C1 (only in children with FS), whereas in stool samples genotypes F41 (in children with AGE) and C2 (in children with AGE and FS) prevailed, and C2 was simultaneously present in both samples. HAdVs were more often detected in stool samples than in NP swabs in patients (with the highest estimated viral load in stool samples in children with AB and AGE) and healthy controls and were more common in NP swabs in children with AGE than in children with AB. In most patients, the characterized genotypes in NP swabs and stool samples were in concordance.
Hospitalisation is frequently used as a marker of disease severity in observational Emergency Department (ED) studies. The comparison of ED admission rates is complex in potentially being influenced ...by the characteristics of the region, ED, physician and patient. We aimed to study variation in ED admission rates of febrile children, to assess whether variation could be explained by disease severity and to identify patient groups with large variation, in order to use this to reduce unnecessary health care utilization that is often due to practice variation.
MOFICHE (Management and Outcome of Fever in children in Europe, part of the PERFORM study, www.perform2020.org), is a prospective cohort study using routinely collected data on febrile children regarding patient characteristics (age, referral, vital signs and clinical alarming signs), diagnostic tests, therapy, diagnosis and hospital admission.
Data were collected on febrile children aged 0-18 years presenting to 12 European EDs (2017-2018).
We compared admission rates between EDs by using standardised admission rates after adjusting for patient characteristics and initiated tests at the ED, where standardised rates >1 demonstrate higher admission rates than expected and rates <1 indicate lower rates than expected based on the ED patient population.
We included 38,120 children. Of those, 9.695 (25.4%) were admitted to a general ward (range EDs 5.1-54.5%). Adjusted standardised admission rates ranged between 0.6 and 1.5. The largest variation was seen in short admission rates (0.1-5.0), PICU admission rates (0.2-2.2), upper respiratory tract infections (0.4-1.7) and fever without focus (0.5-2.7). Variation was small in sepsis/meningitis (0.9-1.1).
Large variation exists in admission rates of febrile children evaluated at European EDs, however, this variation is largely reduced after correcting for patient characteristics and therefore overall admission rates seem to adequately reflect disease severity or a potential for a severe disease course. However, for certain patient groups variation remains high even after adjusting for patient characteristics.
The majority of children with febrile seizures have viral infections and viruses were detected in 22% to 63% of children in published studies. Using molecular methods, viruses were also detected in ...asymptomatic persons. A prospective study was conducted to detect respiratory and enteric viruses in 192 children with febrile seizures and compare the detection rates to those found in 156 healthy age-matched controls. A respiratory or enteric virus was detected in 72.9% of children with febrile seizures and in 51.4% of healthy controls. The viruses most strongly associated with febrile seizures were influenza, respiratory syncytial virus, parainfluenza, human coronavirus, and rotavirus. Compared to healthy controls, the age-adjusted odds ratios for nasopharynx virus positivity in febrile seizure patients were 79.4, 2.8, 7.2, and 4.9 for influenza virus, parainfluenza virus, respiratory syncytial virus, and human coronavirus, respectively, and 22.0 for rotavirus in stool. The detected virus did not influence clinical features of febrile seizure.
Inappropriate antibiotic prescribing often occurs in children with self-limiting respiratory tract infections, contributing to antimicrobial resistance. It has been suggested that rapid viral testing ...can reduce inappropriate antibiotic prescribing. We aimed to assess the association between rapid viral testing at the Emergency Department (ED) and antibiotic prescription in febrile children.
This study is part of the MOFICHE study, which is an observational multicenter study including routine data of febrile children (0-18 years) attending 12 European EDs. In children with respiratory symptoms visiting 6 EDs equipped with rapid viral testing, we performed multivariable logistic regression analysis regarding rapid viral testing and antibiotic prescription adjusted for patient characteristics, disease severity, diagnostic tests, focus of infection, admission, and ED.
A rapid viral test was performed in 1061 children (8%) and not performed in 11,463 children. Rapid viral test usage was not associated with antibiotic prescription (aOR 0.9, 95% CI: 0.8-1.1). A positive rapid viral test was associated with less antibiotic prescription compared with children without test performed (aOR 0.6, 95% CI: 0.5-0.8), which remained significant after adjustment for CRP and chest radiograph result. Twenty percent of the positively tested children received antibiotics. A negative rapid viral test was not associated with antibiotic prescription (aOR 1.2, 95% CI: 1.0-1.4).
Rapid viral test usage did not reduce overall antibiotic prescription, whereas a positive rapid viral test did reduce antibiotic prescription at the ED. Implementation of rapid viral testing in routine emergency care and compliance to the rapid viral test outcome will reduce inappropriate antibiotic prescribing at the ED.
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