To determine the validity of the Manchester Triage System (MTS) in emergency care for the general population of patients attending the emergency department, for children and elderly, and for commonly ...used MTS flowcharts and discriminators across three different emergency care settings.
This was a prospective observational study in three European emergency departments. All consecutive patients attending the emergency department during a 1-year study period (2010-2012) were included. Validity of the MTS was assessed by comparing MTS urgency as determined by triage nurses with patient urgency according to a predefined 3-category reference standard as proxy for true patient urgency.
288,663 patients were included in the analysis. Sensitivity of the MTS in the three hospitals ranged from 0.47 (95%CI 0.44-0.49) to 0.87 (95%CI 0.85-0.90), and specificity from 0.84 (95%CI 0.84-0.84) to 0.94 (95%CI 0.94-0.94) for the triage of adult patients. In children, sensitivity ranged from 0.65 (95%CI 0.61-0.70) to 0.83 (95%CI 0.79-0.87), and specificity from 0.83 (95%CI 0.82-0.83) to 0.89 (95%CI 0.88-0.90). The diagnostic odds ratio ranged from 13.5 (95%CI 12.1-15.0) to 35.3 (95%CI 28.4-43.9) in adults and from 9.8 (95%CI 6.7-14.5) to 23.8 (95%CI 17.7-32.0) in children, and was lowest in the youngest patients in 2 out of 3 settings and in the oldest patients in all settings. Performance varied considerably between the different emergency departments.
Validity of the MTS in emergency care is moderate to good, with lowest performance in the young and elderly patients. Future studies on the validity of triage systems should be restricted to large, multicenter studies to define modifications and improve generalizability of the findings.
To examine the associations of duration of exclusive breastfeeding with infections in the upper respiratory (URTI), lower respiratory (LRTI), and gastrointestinal tracts (GI) in infancy.
This study ...was embedded in the Generation R Study, a population-based prospective cohort study from fetal life onward in the Netherlands. Rates of breastfeeding during the first 6 months (never; partial for <4 months, not thereafter; partial for 4-6 months; exclusive for 4 months, not thereafter; exclusive for 4 months, partial thereafter; and exclusive for 6 months) and doctor-attended infections in the URTI, LRTI, and GI until the age of 12 months were assessed by questionnaires and available for 4164 subjects.
Compared with never-breastfed infants, those who were breastfed exclusively until the age of 4 months and partially thereafter had lower risks of infections in the URTI, LRTI, and GI until the age of 6 months (adjusted odds ratio aOR: 0.65 95% confidence interval (CI): 0.51-0.83; aOR: 0.50 CI: 0.32-0.79; and aOR: 0.41 CI: 0.26-0.64, respectively) and of LRTI infections between the ages of 7 and 12 months (aOR: 0.46 CI: 0.31-0.69). Similar tendencies were observed for infants who were exclusively breastfed for 6 months or longer. Partial breastfeeding, even for 6 months, did not result in significantly lower risks of these infections.
Exclusive breastfeeding until the age of 4 months and partially thereafter was associated with a significant reduction of respiratory and gastrointestinal morbidity in infants. Our findings support health-policy strategies to promote exclusive breastfeeding for at least 4 months, but preferably 6 months, in industrialized countries.
Pediatric early warning scores (PEWS) are being advocated for use in the emergency department (ED). The goal of this study was to compare the validity of different PEWS in a pediatric ED.
Ten ...different PEWS were evaluated in a large prospective cohort. We included children aged <16 years who had presented to the ED of a university hospital in The Netherlands (2009-2012). The validity of the PEWS for predicting ICU admission or hospitalization was expressed by the area under the receiver operating characteristic (ROC) curves.
These PEWS were validated in 17 943 children. Two percent of these children were admitted to the ICU, and 16% were hospitalized. The areas under the ROC curves for predicting ICU admission, ranging from 0.60 (95% confidence interval CI: 0.57-0.62) to 0.82 (95% CI: 0.79-0.85), were moderate to good. The area under the ROC curves for predicting hospitalization was poor to moderate (range: 0.56 95% CI: 0.55-0.58 to 0.68 95% CI: 0.66-0.69). The sensitivity and specificity derived from the ROC curves ranged widely for both ICU admission (sensitivity: 61.3%-94.4%; specificity: 25.2%-86.7%) and hospital admission (sensitivity: 36.4%-85.7%; specificity: 27.1%-90.5%). None of the PEWS had a high sensitivity as well as a high specificity.
PEWS can be used to detect children presenting to the ED who are in need of an ICU admission. Scoring systems, wherein the parameters are summed to a numeric value, were better able to identify patients at risk than triggering systems, which need 1 positive parameter.
The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic causes and causal pathways ...leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. This multidisciplinary study focuses on several health outcomes including behaviour and cognition, body composition, eye development, growth, hearing, heart and vascular development, infectious disease and immunity, oral health and facial growth, respiratory health, allergy and skin disorders of children and their parents. Main exposures of interest include environmental, endocrine, genomic (genetic, epigenetic, microbiome), lifestyle related, nutritional and socio-demographic determinants. In total, 9778 mothers with a delivery date from April 2002 until January 2006 were enrolled in the study. Response at baseline was 61%, and general follow-up rates until the age of 10 years were around 80%. Data collection in children and their parents includes questionnaires, interviews, detailed physical and ultrasound examinations, behavioural observations, lung function, Magnetic Resonance Imaging and biological sampling. Genome and epigenome wide association screens are available. Eventually, results from the Generation R Study contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.
...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.
Umbilical cord blood (UCB) is commonly used in epigenome-wide association studies of prenatal exposures. Accounting for cell type composition is critical in such studies as it reduces confounding due ...to the cell specificity of DNA methylation (DNAm). In the absence of cell sorting information, statistical methods can be applied to deconvolve heterogeneous cell mixtures. Among these methods, reference-based approaches leverage age-appropriate cell-specific DNAm profiles to estimate cellular composition. In UCB, four reference datasets comprising DNAm signatures profiled in purified cell populations have been published using the Illumina 450 K and EPIC arrays. These datasets are biologically and technically different, and currently, there is no consensus on how to best apply them. Here, we systematically evaluate and compare these datasets and provide recommendations for reference-based UCB deconvolution.
We first evaluated the four reference datasets to ascertain both the purity of the samples and the potential cell cross-contamination. We filtered samples and combined datasets to obtain a joint UCB reference. We selected deconvolution libraries using two different approaches: automatic selection using the top differentially methylated probes from the function pickCompProbes in minfi and a standardized library selected using the IDOL (Identifying Optimal Libraries) iterative algorithm. We compared the performance of each reference separately and in combination, using the two approaches for reference library selection, and validated the results in an independent cohort (Generation R Study, n = 191) with matched Fluorescence-Activated Cell Sorting measured cell counts. Strict filtering and combination of the references significantly improved the accuracy and efficiency of cell type estimates. Ultimately, the IDOL library outperformed the library from the automatic selection method implemented in pickCompProbes.
These results have important implications for epigenetic studies in UCB as implementing this method will optimally reduce confounding due to cellular heterogeneity. This work provides guidelines for future reference-based UCB deconvolution and establishes a framework for combining reference datasets in other tissues.
Vital signs are used in emergency care settings in the first assessment of children to identify those that need immediate attention. We aimed to develop and validate vital sign based Manchester ...Triage System (MTS) discriminators to improve triage of children at the emergency department.
The TrIAGE project is a prospective observational study based on electronic health record data from five European EDs (Netherlands (n = 2), United Kingdom, Austria, and Portugal). In the current study, we included 117,438 consecutive children <16 years presenting to the ED during the study period (2012-2015). We derived new discriminators based on heart rate, respiratory rate, and/or capillary refill time for specific subgroups of MTS flowcharts. Moreover, we determined the optimal cut-off value for each vital sign. The main outcome measure was a previously developed 3-category reference standard (high, intermediate, low urgency) for the required urgency of care, based on mortality at the ED, immediate lifesaving interventions, disposition and resource use. We determined six new discriminators for children <1 year and ≥1 year: "Very abnormal respiratory rate", "Abnormal heart rate", and "Abnormal respiratory rate", with optimal cut-offs, and specific subgroups of flowcharts. Application of the modified MTS reclassified 744 patients (2.5%). Sensitivity increased from 0.66 (95%CI 0.60-0.72) to 0.71 (0.66-0.75) for high urgency patients and from 0.67 (0.54-0.76) to 0.70 (0.58-0.80) for high and intermediate urgency patients. Specificity decreased from 0.90 (0.86-0.93) to 0.89 (0.85-0.92) for high and 0.66 (0.52-0.78) to 0.63 (0.50-0.75) for high and intermediate urgency patients. These differences were statistically significant. Overall performance improved (R2 0.199 versus 0.204).
Six new discriminators based on vital signs lead to a small but relevant increase in performance and should be implemented in the MTS.
Abstract Purpose To explore associations between adolescents' perception of their readiness to transfer to adult care and socio-demographic and disease-related characteristics, effect of the ...condition, self-management ability, and attitude toward transition. Methods A cross-sectional study was conducted in a Dutch university hospital, where all adolescents (12–19 years) with somatic chronic conditions (n = 3,648) were invited to participate in a web-based questionnaire. Invitations were issued to those without an intellectual disability and who had been under treatment for at least 3 years. Results In all, 30% (n = 1,087) of the adolescents responded; 954 assessed their perception of readiness for transfer. The majority (56%) felt that they were ready for transfer. Logistic regression analyses showed that 48% of the total variance in transfer readiness (TR) could be explained. Feeling more self-efficacious in skills for independent hospital visits and a greater perceived independence during consultations were found to be most strongly associated with being ready to transfer. Higher TR was associated with older age, but age did not prove to be the most important explaining variable. Adolescents with a more positive attitude toward transition and those who reported more discussions related to future transfer also felt more ready. Disease-related factors and effect of the condition including quality of life were only weakly associated with higher TR. Conclusions Adolescents' attitude to transition and their level of self-efficacy in managing self-care seem to be the keystones to TR. This study suggests that individual transition plans and readiness assessments might prove to be beneficial. Strengthening adolescents' independence and self-management competencies, combined with early preparation and repeated discussions on transition, seem to be useful strategies to increase adolescents' readiness for transfer to adult care.
Abstract Objectives Triage systems, developed by consensus of experts and based on decision rules, are typically not validated. The objective is to discuss the challenges to evaluate the reliability ...and validity of triage systems. Study Design and Setting Theoretical–conceptual approach to validate triage systems. Results The consensus-based triage systems have to be applied to a broad population with a variety of signs and symptoms. For the individual patient-specific decision, rules are used and the outcome measure is, typically, one of five prognosis-specific urgency categories. In contrast, prediction rules in diagnostic research are developed for a narrow specific subpopulation and based on a combination of parameters to predict presence of a specific diagnosis. Reliability is based on case scenario and simultaneous triage studies. The first step in triage validation is to decide on the best proxy for prognosis, “the reference standard” for the urgency classification. The next step is modification of the triage decision rules, including a multivariate approach. The final step is the validation in different settings and to evaluate the impact in clinical practice. Conclusion Triage should be viewed as diagnostic research and would benefit if it would use the available methodology in diagnostic research.
We aimed to evaluate the association between family socioeconomic status and repeatedly measured child television viewing time from early childhood to the school period. We analyzed data on 3,561 ...Dutch children from the Generation R Study, a population-based study in the Netherlands. Parent-reported television viewing time for children aged 2, 3, 4, 6 and 9 years were collected by questionnaires sent from April 2004 until January 2015. Odds ratios of watching television ≥1 hour/day at each age were calculated for children of mothers with low, mid-low, mid-high and high (reference group) education and children from low, middle and high (reference group) income households. A generalized logistic mixed model was used to assess the association between family socioeconomic status and child television viewing time trajectory. The percentage of children watching television ≥1 hour/day increased from age 2 to 9 years for all children (24.2%-85.0% for children of low-educated mothers; 4.7%-61.4% for children of high-educated mothers; 17.2%-74.9% for children from low income households; 6.2%-65.1% for children from high income households). Independent socioeconomic effect in child television viewing time was found for maternal educational level. The interaction between net household income and child age in longitudinal analyses was significant (p = 0.01), indicating that the television viewing time trajectories were different in household income subgroups. However the interaction between maternal educational level and child age was not significant (p = 0.19). Inverse socioeconomic gradients in child television viewing time were found from the preschool period to the late school period. The educational differences between the various educational subgroups remained stable with increasing age, but the differences between household income groups changed over time. Intervention developers and healthcare practitioners need to raise awareness among non-highly educated parents that the socioeconomic gradient in television viewing time has a tracking effect starting from preschool age.
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