Respiratory tract infections (RTIs) are common in children with febrile illness visiting the general practitioner (GP) or emergency department. We studied the management of children with fever and ...RTI at 3 different levels of healthcare in The Netherlands, focusing on antibiotic prescription.
This prospective observational study is part of the Management and Outcome of Febrile children in Europe study. Data were used from face-to-face patient contacts of children with febrile illness in three healthcare settings in Nijmegen, The Netherlands during 2017. These settings were primary (GP), secondary (general hospital) and tertiary care (university hospital).
Of 892 cases with RTI without complex comorbidities, overall antibiotic prescription rates were 29% with no differences between the 3 levels of healthcare, leading to an absolute number of 5031 prescriptions per 100,000 children per year in primary care compared with 146 in secondary and tertiary care combined. The prescription rate in otitis media was similar in all levels: 60%. In cases with lower RTI who received nebulizations prescription rates varied between 19% and 55%.
Antibiotic prescription rates for RTIs in children were comparable between the 3 levels of healthcare, thus leading to a majority of antibiotics being prescribed in primary care. Relatively high prescription rates for all foci of RTIs were found, which was not in agreement with the national guidelines. Antibiotic stewardship needs improvement at all 3 levels of healthcare. Guidelines to prescribe small spectrum antibiotics for RTIs need to be better implemented in hospital care settings.
We aimed to describe characteristics and management of children with comorbidities attending European emergency departments (EDs) with fever. MOFICHE (Management and Outcome of Fever in children in ...Europe) is a prospective multicentre study (12 European EDs, 8 countries). Febrile children with comorbidities were compared to those without in terms of patient characteristics, markers of disease severity, management, and diagnosis. Comorbidity was defined as a chronic underlying condition that is expected to last > 1 year. We performed multivariable logistic regression analysis, displaying adjusted odds ratios (aOR), adjusting for patient characteristics. We included 38,110 patients, of whom 5906 (16%) had comorbidities. Most common comorbidities were pulmonary, neurologic, or prematurity. Patients with comorbidities more often were ill appearing (20 versus 16%,
p
< 0.001), had an ED-Paediatric Early Warning Score of > 15 (22 versus 12%,
p
< 0.001), or a C-reactive protein > 60 mg/l (aOR 1.4 (95%CI 1.3–1.6)). They more often required life-saving interventions (aOR 2.7, 95% CI 2.2–3.3), were treated with intravenous antibiotics (aOR 2.3, 95%CI 2.1–2.5), and were admitted to the ward (aOR 2.2, 95%CI 2.1–2.4) or paediatric intensive care unit (PICU) (aOR 5.5, 95% CI 3.8–7.9). They were more often diagnosed with serious bacterial infections (aOR 1.8, 95%CI 1.7–2.0), including sepsis/meningitis (aOR 4.6, 95%CI 3.2–6.7). Children most at risk for sepsis/meningitis were children with malignancy/immunodeficiency (aOR 14.5, 8.5–24.8), while children with psychomotor delay/neurological disease were most at risk for life-saving interventions (aOR 5.3, 4.1–6.9) or PICU admission (aOR 9.7, 6.1–15.5).
Conclusions:
Our data show how children with comorbidities are a population at risk, as they more often are diagnosed with bacterial infections and more often require PICU admission and life-saving interventions.
What is Known:
• While children with comorbidity constitute a large part of ED frequent flyers, they are often excluded from studies.
What is New:
• Children with comorbidities in general are more ill upon presentation than children without comorbidities.
• Children with comorbidities form a heterogeneous group; specific subgroups have an increased risk for invasive bacterial infections, while others have an increased risk of invasive interventions such as PICU admission, regardless of the cause of the fever.
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DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, VSZLJ, ZAGLJ
ObjectivesTo develop and cross-validate a multivariable clinical prediction model to identify invasive bacterial infections (IBI) and to identify patient groups who might benefit from new ...biomarkers.DesignProspective observational study.Setting12 emergency departments (EDs) in 8 European countries.PatientsFebrile children aged 0–18 years.Main outcome measuresIBI, defined as bacteraemia, meningitis and bone/joint infection. We derived and cross-validated a model for IBI using variables from the Feverkidstool (clinical symptoms, C reactive protein), neurological signs, non-blanching rash and comorbidity. We assessed discrimination (area under the receiver operating curve) and diagnostic performance at different risk thresholds for IBI: sensitivity, specificity, negative and positive likelihood ratios (LRs).ResultsOf 16 268 patients, 135 (0.8%) had an IBI. The discriminative ability of the model was 0.84 (95% CI 0.81 to 0.88) and 0.78 (95% CI 0.74 to 0.82) in pooled cross-validations. The model performed well for the rule-out threshold of 0.1% (sensitivity 0.97 (95% CI 0.93 to 0.99), negative LR 0.1 (95% CI 0.0 to 0.2) and for the rule-in threshold of 2.0% (specificity 0.94 (95% CI 0.94 to 0.95), positive LR 8.4 (95% CI 6.9 to 10.0)). The intermediate thresholds of 0.1%–2.0% performed poorly (ranges: sensitivity 0.59–0.93, negative LR 0.14–0.57, specificity 0.52–0.88, positive LR 1.9–4.8) and comprised 9784 patients (60%).ConclusionsThe rule-out threshold of this model has potential to reduce antibiotic treatment while the rule-in threshold could be used to target treatment in febrile children at the ED. In more than half of patients at intermediate risk, sensitive biomarkers could improve identification of IBI and potentially reduce unnecessary antibiotic prescriptions.
Complement deficient patients are susceptible to rare meningococcal serogroups. A 6-year-old girl presented with serogroup Z meningitis. This led to identification of a C8 deficiency. The MenB-4C ...vaccine induced cross-reactive antibodies to serogroup Z and increased in vitro opsonophagocytic killing and may thus protect complement deficient patients.
ObjectiveTo externally validate and update the Feverkids tool clinical prediction model for differentiating bacterial pneumonia and other serious bacterial infections (SBIs) from non-SBI causes of ...fever in immunocompromised children.DesignInternational, multicentre, prospective observational study embedded in PErsonalised Risk assessment in Febrile illness to Optimise Real-life Management across the European Union (PERFORM).SettingFifteen teaching hospitals in nine European countries.ParticipantsFebrile immunocompromised children aged 0–18 years.MethodsThe Feverkids clinical prediction model predicted the probability of bacterial pneumonia, other SBI or no SBI. Model discrimination, calibration and diagnostic performance at different risk thresholds were assessed. The model was then re-fitted and updated.ResultsOf 558 episodes, 21 had bacterial pneumonia, 104 other SBI and 433 no SBI. Discrimination was 0.83 (95% CI 0.71 to 0.90) for bacterial pneumonia, with moderate calibration and 0.67 (0.61 to 0.72) for other SBIs, with poor calibration. After model re-fitting, discrimination improved to 0.88 (0.79 to 0.96) and 0.71 (0.65 to 0.76) and calibration improved. Predicted risk <1% ruled out bacterial pneumonia with sensitivity 0.95 (0.86 to 1.00) and negative likelihood ratio (LR) 0.09 (0.00 to 0.32). Predicted risk >10% ruled in bacterial pneumonia with specificity 0.91 (0.88 to 0.94) and positive LR 6.51 (3.71 to 10.3). Predicted risk <10% ruled out other SBIs with sensitivity 0.92 (0.87 to 0.97) and negative LR 0.32 (0.13 to 0.57). Predicted risk >30% ruled in other SBIs with specificity 0.89 (0.86 to 0.92) and positive LR 2.86 (1.91 to 4.25).ConclusionDiscrimination and calibration were good for bacterial pneumonia but poorer for other SBIs. The rule-out thresholds have the potential to reduce unnecessary investigations and antibiotics in this high-risk group.
ObjectivesTo describe the characteristics and clinical outcomes of children with fever ≥5 days presenting to emergency departments (EDs).DesignProspective observational study.Setting12 European ...EDs.PatientsConsecutive febrile children <18 years between January 2017 and April 2018.InterventionsChildren with fever ≥5 days and their risks for serious bacterial infection (SBI) were compared with children with fever <5 days, including diagnostic accuracy of non-specific symptoms, warning signs and C-reactive protein (CRP; mg/L).Main outcome measuresSBI and other non-infectious serious illness.Results3778/35 705 (10.6%) of febrile children had fever ≥5 days. Incidence of SBI in children with fever ≥5 days was higher than in those with fever <5 days (8.4% vs 5.7%). Triage urgency, life-saving interventions and intensive care admissions were similar for fever ≥5 days and <5 days. Several warning signs had good rule in value for SBI with specificities >0.90, but were observed infrequently (range: 0.4%–17%). Absence of warning signs was not sufficiently reliable to rule out SBI (sensitivity 0.92 (95% CI 0.87–0.95), negative likelihood ratio (LR) 0.34 (0.22–0.54)). CRP <20 mg/L was useful for ruling out SBI (negative LR 0.16 (0.11–0.24)). There were 66 cases (1.7%) of non-infectious serious illnesses, including 21 cases of Kawasaki disease (0.6%), 28 inflammatory conditions (0.7%) and 4 malignancies.ConclusionChildren with prolonged fever have a higher risk of SBI, warranting a careful clinical assessment and diagnostic workup. Warning signs of SBI occurred infrequently but, if present, increased the likelihood of SBI. Although rare, clinicians should consider important non-infectious causes of prolonged fever.
Objective(1) To derive reference values for the Shock Index (heart rate/systolic blood pressure) based on a large emergency department (ED) population of febrile children and (2) to determine the ...diagnostic value of the Shock Index for serious illness in febrile children.Design/settingObservational study in 11 European EDs (2017–2018).PatientsFebrile children with measured blood pressure.Main outcome measuresSerious bacterial infection (SBI), invasive bacterial infection (IBI), immediate life-saving interventions (ILSIs) and intensive care unit (ICU) admission. The association between high Shock Index (>95th centile) and each outcome was determined by logistic regression adjusted for age, sex, referral, comorbidity and temperature. Additionally, we calculated sensitivity, specificity and negative/positive likelihood ratios (LRs).ResultsOf 5622 children, 461 (8.2%) had SBI, 46 (0.8%) had IBI, 203 (3.6%) were treated with ILSI and 69 (1.2%) were ICU admitted. High Shock Index was associated with SBI (adjusted OR (aOR) 1.6 (95% CI 1.3 to 1.9)), ILSI (aOR 2.5 (95% CI 2.0 to 2.9)), ICU admission (aOR 2.2 (95% CI 1.4 to 2.9)) but not with IBI (aOR: 1.5 (95% CI 0.6 to 2.4)). For the different outcomes, sensitivity for high Shock Index ranged from 0.10 to 0.15, specificity ranged from 0.95 to 0.95, negative LRs ranged from 0.90 to 0.95 and positive LRs ranged from 1.8 to 2.8.ConclusionsHigh Shock Index is associated with serious illness in febrile children. However, its rule-out value is insufficient which suggests that the Shock Index is not valuable as a screening tool for all febrile children at the ED.
Point-of-care-tests (POCTs) have been advocated to optimise care in patients with infections but their actual use varies. This study aimed to estimate the variability in the adoption of current POCTs ...by paediatricians across Europe, and to explore the determinants of variability.
A cross-sectional survey was conducted of hospital and primary care paediatricians, recruited through professional networks. Questions focused on the availability and use of currently available POCTs. Data were analysed descriptively and using Median Odds Ratio (MOR) to measure variation between countries. Multilevel regression modelling using changes in the area under the receiver operating characteristic curve of models were used to assess the contribution of individual or workplace versus country level factors, to the observed variation. The commonest POCT was urine dipsticks (UD) which were available to >80% of primary care and hospital paediatricians in 68% (13/19) and 79% (23/29) countries, respectively. Availability of all POCTs varied between countries. In primary care, the country (MOR) varied from 1.61 (95%CI: 1.04-2.58) for lactate to 7.28 (95%CI: 3.04-24.35) for UD. In hospitals, the country MOR varied from 1.37 (95%CI:1.04-1.80) for lactate to 11.93 (95%CI:3.35-72.23) for UD. Most paediatricians in primary care (69%, 795/1154) and hospital (81%, 962/1188) would use a diagnostic test in the case scenario of an infant with undifferentiated fever. Multilevel regression modelling showed that the country of work was more important in predicting both the availability and use of POCTs than individual or workplace characteristics.
There is substantial variability in the adoption of POCTs for the management of acute infections in children across Europe. To inform future implementation of both existing and innovative tests, further research is needed to understand what drives the variation between countries, the needs of frontline clinicians, and the role of diagnostic tests in the management of acute childhood infections.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Purpose
Infections are a leading cause of mortality and morbidity in paediatric cancer patients. The aim of this study was to determine whether positive or negative microbiological results impact the ...clinical outcomes of sepsis in paediatric cancer patients admitted to the paediatric intensive care unit (PICU).
Methods
We performed a retrospective observational single-centre cohort study between 1 January 2018 and 31 December 2020 in the Netherlands. All paediatric cancer patients aged 0 to 18 years admitted to PICU due to severe sepsis or septic shock were included.
Results
We identified 73 PICU admissions in 58 unique patients. Forty-nine of the 73 PICU admissions (67.1%) had positive blood and/or bronchoalveolar lavage microbiological results. Patients with positive results had a higher Paediatric Logistic Organ Dysfunction-2 (PELOD-2) score at PICU admission compared to patients with negative results (median (IQR), 7 (6–9) vs 6 (4–8),
p
= 0.04). Mortality in PICU among patients with positive results was significantly higher when compared to patients with negative results, 18% versus 0% respectively (
p
= 0.03). In addition, patients with positive results had significantly less ventilator-free days at day 28 compared to patients with negative results, median (IQR) 26 (19–28) versus 28 (27–28) respectively (
p
= 0.01).
Conclusions
Microbiologically confirmed infections (bacterial, viral, or fungal) in paediatric cancer patients with sepsis are associated with higher mortality in PICU and a higher need for PICU resources. Large-scale (multicentre) studies in paediatric oncologic patients are required to confirm these results.
We aimed to describe the variation of hemostasis proteins in children with bacterial infections due to different pathogens ( Neisseria meningitidis, Streptococcus pneumoniae, Staphylococcus aureus , ...and group A streptococcus GAS) and to study hemostasis proteins in relation to mortality.
Preplanned analysis in prospective cohort study.
Hospitals in five European countries (Austria, The Netherlands, Spain, Switzerland, and the United Kingdom).
Admitted children (2012-2016) with community-acquired infections due to meningococci ( n = 83), pneumococci ( n = 64), S. aureus (n = 50), and GAS ( n = 44) with available serum samples collected less than 48 hours after admission.
None.
Fibronectin, plasminogen activator inhibitor type 1 (PAI-1), thrombomodulin, and a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13 (ADAMTS-13) were measured in serum in 2019-2020. Additionally, von Willebrand factor, protein C, protein S, and factor IX were measured in citrate plasma available from a subset of patients. Outcome measures included in-hospital mortality and disease severity (need for ventilation/inotropes, Pediatric Index of Mortality score).Of 241 children, 21 (8.7%) died and 177 (73.5%) were admitted to PICU. Mortality rate was similar for the pathogen groups. Levels of fibronectin and thrombomodulin differed for the different pathogens ( p < 0.05). Fibronectin levels were lower in GAS infections than in S. pneumoniae and S. aureus infections but did not differ from meningococcal infections. Thrombomodulin levels in meningococcal infections were higher than in S. aureus and pneumococcal infections. Overall, the area under the curve for mortality was 0.81 (95% CI, 0.70-0.92) for thrombomodulin and 0.78 (95% CI, 0.69-0.88) for ADAMTS-13. The association of each hemostasis protein did not vary across pathogens for any of the outcome measures.
Hemostatic disturbances in childhood bacterial infections are not limited to meningococcal sepsis but occur with a comparable severity across nonmeningococcal infections. High thrombomodulin and high ADAMTS-13 had good discriminative ability for mortality. Our results emphasize the importance of hemostatic disturbances in meningococcal and nonmeningococcal pediatric bacterial infections.
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