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BACKGROUND: Modeling patient data, particularly electronic health records (EHR), is one of the major focuses of machine learning studies in healthcare, as these records provide clinicians with valuable information that can potentially assist them in disease diagnosis and decision-making. METHODS: In this study, we present a multi-level graph-based framework called MedMGF, which models both patient medical profiles extracted from EHR data and their relationship network of health profiles in a single architecture. The medical profiles consist of several layers of data embedding derived from interval records obtained during hospitalization, and the patient-patient network is created by measuring the similarities between these profiles. We also propose a modification to the Focal Loss (FL) function to improve classification performance in imbalanced datasets without the need to imputate the data. MedMGF's performance was evaluated against several Graphical Convolutional Network (GCN) baseline models implemented with Binary Cross Entropy (BCE), FL, class balancing parameter α , and Synthetic Minority Oversampling Technique (SMOTE). RESULTS: Our proposed framework achieved high classification performance (AUC: 0.8098, ACC: 0.7503, SEN: 0.8750, SPE: 0.7445, NPV: 0.9923, PPV: 0.1367) on an extreme imbalanced pediatric sepsis dataset (n=3,014, imbalance ratio of 0.047). It yielded a classification improvement of 3.81% for AUC, 15% for SEN compared to the baseline GCN+ α FL (AUC: 0.7717, ACC: 0.8144, SEN: 0.7250, SPE: 0.8185, PPV: 0.1559, NPV: 0.9847), and an improvement of 5.88% in AUC and 22.5% compared to GCN+FL+SMOTE (AUC: 0.7510, ACC: 0.8431, SEN: 0.6500, SPE: 0.8520, PPV: 0.1688, NPV: 0.9814). It also showed a classification improvement of 3.86% for AUC, 15% for SEN compared to the baseline GCN+ α BCE (AUC: 0.7712, ACC: 0.8133, SEN: 0.7250, SPE: 0.8173, PPV: 0.1551, NPV: 0.9847), and an improvement of 14.33% in AUC and 27.5% in comparison to GCN+BCE+SMOTE (AUC: 0.6665, ACC: 0.7271, SEN: 0.6000, SPE: 0.7329, PPV: 0.0941, NPV: 0.9754). CONCLUSION: When compared to all baseline models, MedMGF achieved the highest SEN and AUC results, demonstrating the potential for several healthcare applications.

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Recognizing and prioritizing research areas in emergency care is crucial for generating evidence and advancing research programs, aiming to enhance health outcomes for both individuals and populations. The objective of this review is to document global clinical and nonclinical research priorities. The Emergency Medicine Education and Research by Global Experts network, consisting of 22 sites across six continents, conducted a mapping review of publications on emergency medicine research priorities (2000-2022) across seven databases. We included studies with replicable methodologies for determining research priorities, excluding those limited to individual diseases. Three reviewers independently screened, selected, and categorized results into clinical and nonclinical topics. Discrepancies were resolved by an independent investigator and consensus. Outcomes measures and analysis include descriptive analysis of research priorities grouped into clinical and nonclinical topics, characteristics of publications including countries represented in the author list, target audience (such as researchers or policy makers), participants (e.g. patients), and methods (e.g. Delphi) of priority setting. Among 968 screened papers, 57 publications from all WHO regions were included. Most (36, 63%) had authors from only a single country, primarily in North America and Europe. Patient representatives were included in only 10 (18%). Clinical research priorities clustered into resuscitation, cardiology, central nervous system, emergency medical services, infectious disease, mental health, respiratory disease, and trauma. Distribution was broad in North America and Europe but focused on infectious diseases and resuscitation in Africa and Asia. Eleven nonclinical topics included access to care, health policy, screening/triage, social determinants of health, staffing, technology/simulation, shared decision making, cross-sectoral collaboration, education, patient-centered care, and research networks. Nonclinical topics were broad in Europe and America, focused on access to care and health screening in Africa, and mostly absent in other WHO regions. Published research priorities in emergency medicine are heterogeneous and geographically limited, mostly containing groups of authors from the same country. The majority of publications in global research priority setting stem from Western countries, covering a broad spectrum of clinical and nonclinical topics. Research priorities from Africa and Asia tend to focus on specific issues more prevalent in those regions of the world.

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INTRODUCTION: Sepsis is associated with neurocognitive impairment among preterm neonates but less is known about term neonates with sepsis. This systematic review and meta-analysis aims to provide an update of neurocognitive outcomes including cognitive delay, visual impairment, auditory impairment, and cerebral palsy, among neonates with sepsis. METHODS: We performed a systematic review of PubMed, Embase, CENTRAL and Web of Science for eligible studies published between January 2011 and March 2023. We included case-control, cohort studies and cross-sectional studies. Case reports and articles not in English language were excluded. Using the adjusted estimates, we performed random effects model meta-analysis to evaluate the risk of developing neurocognitive impairment among neonates with sepsis. RESULTS: Of 7,909 studies, 24 studies (n = 121,645) were included. Majority of studies were conducted in the United States (n = 7, 29.2%), and all studies were performed among neonates. 17 (70.8%) studies provided follow-up till 30 months. Sepsis was associated with increased risk of cognitive delay [adjusted odds ratio, aOR 1.14 (95% CI: 1.01-1.28)], visual impairment [aOR 2.57 (95%CI: 1.14- 5.82)], hearing impairment [aOR 1.70 (95% CI: 1.02-2.81)] and cerebral palsy [aOR 2.48 (95% CI: 1.03-5.99)]. CONCLUSION: Neonates surviving sepsis are at a higher risk of poorer neurodevelopment. Current evidence is limited by significant heterogeneity across studies, lack of data related to long-term neurodevelopmental outcomes and term infants.

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Introduction: We aim to investigate the functional outcomes and long-term health-related quality of life (HRQOL) in children with major trauma associated with traumatic brain injury (TBI). Method: We performed a retrospective review of records among patients >2 and ≤16 years old in a tertiary paediatric hospital between January 2014 and October 2019 with major trauma (Injury Severity Score of ≥16) and TBI of all severities. We recorded each child's Glasgow Outcome Scale-Extended Pediatric Version (GOS-E Peds) at 12 months post-injury and Pediatric Quality of Life Inventory (PedsQL) scores at 6 and 12 months post-injury based on the parent proxy-report scales. Results: We included 53 patients with a median age of 9.0 years old (interquartile range 2.3-15.5). Most injuries were due to falls (30, 56.6%) or road traffic collisions (15, 28.3%); 41 patients (77.3%) required intensive care while 30 patients (56.6%) underwent neurosurgical intervention. Most patients (43, 81.1%) had GOS-E Peds scores of ≤2 at 12 months post-injury. We reported a significant mean difference between the 6- and 12-month parent-reported scores for physical functioning (6.6, 95% confidence interval [CI] 0.3-12.8, P=0.041), psychosocial functioning (4.1, 95% CI 1.0-7.2, P=0.012) and overall scores (5.0, 95% CI 1.4-8.7, P=0.008). Compared with the validated PedsQL scores, our mean scores were higher across all domains at 12 months. Conclusion: With current standard of care, parents of children with major trauma and TBI reported gains in quality of life, physical, psychosocial and overall function between 6 and 12 months post-injury.

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Introduction: Febrile young infants are at risk of serious bacterial infections (SBIs), which are potentially life-threatening. This study aims to investigate the association between delayed presentation and the risk of SBIs among febrile infants. Method: We performed a prospective cohort study on febrile infants ≤90 days old presenting to a Singapore paediatric emergency department (ED) between November 2017 and July 2022. We defined delayed presentation as presentation to the ED >24 hours from fever onset. We compared the proportion of SBIs in infants who had delayed presentation compared to those without, and their clinical outcomes. We also performed a multivariable logistic regression to study if delayed presentation was independently associated with the presence of SBIs. Results: Among 1911 febrile infants analysed, 198 infants (10%) had delayed presentation. Febrile infants with delayed presentation were more likely to have SBIs (28.8% versus [vs] 16.3%, P<0.001). A higher proportion of infants with delayed presentation required intravenous antibiotics (64.1% vs 51.9%, P=0.001). After adjusting for age, sex and severity index score, delayed presentation was independently associated with the presence of SBI (adjusted odds ratio [AOR] 1.78, 95% confidence interval 1.26-2.52, P<0.001). Conclusion: Febrile infants with delayed presentation are at higher risk of SBI. Frontline clinicians should take this into account when assessing febrile infants.

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Background: Advancements in medical technologies have led to the development of contact-free methods of haemodynamic monitoring such as remote photoplethysmography (rPPG). rPPG uses video cameras to interpret variations in skin colour related to blood flow, which are analysed to generate vital signs readings. rPPG potentially ameliorates problems like fretfulness and fragile skin contact associated with conventional probes in children. While rPPG has been validated in adults, no prior validation has been performed in children. Methods: A two-phased prospective cross-sectional single-centre study was conducted from January to April 2023 to evaluate the feasibility, acceptability, and accuracy of obtaining heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2) using rPPG in children, compared to the current standard of care. In Phase 1, we recruited patients ≤16 years from the neonatal and paediatric wards. We excluded preterm neonates with gestational age <35 weeks and newborns <24 hours old. The rPPG webcam was positioned 30 cm from the face. After 1 minute of facial scanning, readings generated were compared with pulse oximetry for HR and SpO2, and manual counting for RR. Correlation and Bland-Altman analyses were performed. In Phase 2, we focused on the population in whom there was potential correlation between rPPG and the actual vital signs. Results: Ten neonates and 28 children aged 5 to 16 years were recruited for Phase 1 (765 datapoints). All patients were haemodynamically stable and normothermic. Patients and caregivers showed high acceptability to rPPG. rPPG values were clinically discrepant for children <10 years. For those ≥10 years, moderate correlation was observed for HR, with Spearman's correlation coefficient (Rs) of 0.50 [95% confidence intervals (CI): 0.42, 0.57]. We performed Phase 2 on 23 patients aged 12 to 16 years (559 datapoints). Strong correlation was observed for HR with Rs=0.82 (95% CI: 0.78, 0.85). There was weak correlation for SpO2 and RR (Rs=-0.25 and -0.02, respectively). Conclusions: Our study showed that rPPG is acceptable and feasible for neonates and children aged 5 to 16 years, and HR values in older children aged 12 to 16 years correlated well with the current standard. The rPPG algorithms need to be further refined for younger children, and for obtaining RR and SpO2 in all children. If successful, rPPG will provide a viable contact-free alternative for assessing paediatric vital signs, with potential use in remote monitoring and telemedicine.

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INTRODUCTION: Prehospital trauma triage and disability assessment of pediatric patients can be challenging on the field, especially in the pre-verbal age group. It would be useful if the same triage tool and criteria can be used for both adults and children to risk-stratify the need of higher acuity of trauma care. STUDY OBJECTIVE: We aimed to investigate if using only the motor component of Glasgow Coma Scale (mGCS), as a quick field trauma triage tool, was non-inferior to total GCS (tGCS), and if mGCS <6 was non-inferior to tGCS <14, in predicting the need for intensive care or mortality in the pediatric population. METHODS: We performed a retrospective review of patients <18-years-old, who presented to our emergency department (ED) with moderate (Injury Severity Score (ISS) 9-15) to severe (ISS > 15) traumatic injuries from January 2012 to December 2021. Using ED triage data, mortality and the need for intensive care unit (ICU) admission were used as surrogate outcomes to investigate if mGCS <6 was non-inferior to tGCS <14, and the area-under-the-receiver-operating-characteristic curve (AUROC) was used as a measure of comparability. RESULTS: Among 582 included for analysis, the median age was 7-years-old (2-12), and most were male (63.4%). 22.4% patients demised or required ICU care. mGCS <6 had an AUROC of 0.75 (95% CI 0.70 to 0.79), which was non-inferior to tGCS <14; AUROC 0.76, (95% CI 0.72 to 0.81), for identifying children requiring ICU management or demised. The results shown here were based on the AUROCs that were used to evaluate the discriminatory ability of tGCS <14 and mGCS <6 in prediction of mortality and the need for ICU care. CONCLUSION: Our study showed that mGCS was significantly associated with tGCS, and was non- inferior to the latter as a triage tool in pediatric trauma. It validated the use of mGCS <6 in lieu of tGCS <14 in the pre-hospital field triage of pediatric patients, in identification of children at risk of death or requiring ICU care. Larger prospective, observational studies using on-scene data would be required for more robust validation and determine optimal cut-offs.

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INTRODUCTION: The management of fever without source in children ≤36 months old remains a diagnostic challenge as the underlying aetiologies can vary from self-limiting viral infections to serious bacterial infections (SBIs). Biomarkers such as C reactive protein (CRP), procalcitonin (PCT) and interleukin-6 (IL-6) have varying thresholds in the prediction of SBIs due to differences in SBI definitions, SBI prevalence, patient characteristics and timing of presentation. This protocol describes a systematic review and meta-analysis that aims to determine the thresholds at which CRP, PCT and IL-6 can perform optimally in distinguishing the presence of SBIs in children ≤36 months old, as well as to determine their performances in early detection of bacterial infections within 48 hours of fever onset. METHODS AND ANALYSIS: We will systematically search electronic databases including MEDLINE, Cochrane Central Register of Controlled Trials, Cochrane CENTRAL, EMBASE, CINAHL (Cumulative Index to Nursing and Allied Health Literature) and Science Citation Index from 1 July 2023 to 31 July 2023. We will include studies that report the diagnostic accuracy of CRP, PCT and IL-6 in detecting SBIs in children aged ≤36 months presenting with fever without apparent source. Randomised controlled trials (RCTs) and non-randomised studies including non-RCTs and controlled before-and-after studies will be included. A meta-analysis will be performed and diagnostic performances of these biomarkers will be reported. ETHICS AND DISSEMINATION: The results of this study will provide guidance on clinical decision-making in young children presenting with fever without source. Ethics approval will not be required for this study. The authors aim to publish the findings in a peer-reviewed journal as well as present at international conferences. PROSPERO REGISTRATION NUMBER: CRD42023439093.

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PURPOSE: We aimed to investigate the association between initial dysnatremia (hyponatremia and hypernatremia) and in-hospital mortality, as well as between initial dysnatremia and functional outcomes, among children with traumatic brain injury (TBI). METHOD: We performed a multicenter observational study among 26 pediatric intensive care units from January 2014 to August 2022. We recruited children with TBI under 18 years of age who presented to participating sites within 24 h of injury. We compared demographics and clinical characteristics between children with initial hyponatremia and eu-natremia and between those with initial hypernatremia and eu-natremia. We defined poor functional outcome as a discharge Pediatric Cerebral Performance Category (PCPC) score of moderate, severe disability, coma, and death, or an increase of at least 2 categories from baseline. We performed multivariable logistic regression for mortality and poor PCPC outcome. RESULTS: Among 648 children, 84 (13.0%) and 42 (6.5%) presented with hyponatremia and hypernatremia, respectively. We observed fewer 14-day ventilation-free days between those with initial hyponatremia [7.0 (interquartile range (IQR) = 0.0-11.0)] and initial hypernatremia [0.0 (IQR = 0.0-10.0)], compared to eu-natremia [9.0 (IQR = 4.0-12.0); p = 0.006 and p < 0.001]. We observed fewer 14-day ICU-free days between those with initial hyponatremia [3.0 (IQR = 0.0-9.0)] and initial hypernatremia [0.0 (IQR = 0.0-3.0)], compared to eu-natremia [7.0 (IQR = 0.0-11.0); p = 0.006 and p < 0.001]. After adjusting for age, severity, and sex, presenting hyponatremia was associated with in-hospital mortality [adjusted odds ratio (aOR) = 2.47, 95% confidence interval (CI) = 1.31-4.66, p = 0.005] and poor outcome (aOR = 1.67, 95% CI = 1.01-2.76, p = 0.045). After adjustment, initial hypernatremia was associated with mortality (aOR = 5.91, 95% CI = 2.85-12.25, p < 0.001) and poor outcome (aOR = 3.00, 95% CI = 1.50-5.98, p = 0.002). CONCLUSION: Among children with TBI, presenting dysnatremia was associated with in-hospital mortality and poor functional outcome, particularly hypernatremia. Future research should investigate longitudinal sodium measurements in pediatric TBI and their association with clinical outcomes.

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OBJECTIVE: The burden of traumatic brain injury (TBI) is disproportionately high in low- and middle-income countries (LMICs). This study aimed to compare clinical outcomes and healthcare utilization for children with moderate to severe TBIs between LMICs and non-LMICs in Asia and Latin America. METHODS: The authors performed an observational multicenter study from January 2014 to February 2023 among children with moderate to severe TBIs admitted to participating pediatric intensive care units (PICUs) in the Pediatric Acute and Critical Care Medicine Asian Network (PACCMAN) and Red Colaborativa Pediátrica de Latinoamérica (LARed Network). They classified sites according to their 2019 sociodemographic index (SDI). Low, low-middle, and middle SDI sites were considered LMICs, while high-middle and high SDI sites were considered non-LMICs. The authors documented patient demographics and TBI management. Accounting for death, they recorded 14-day PICU-free and 28-day hospital-free days, with fewer free days indicating poorer outcome. The authors compared children who died and those who had poor functional outcomes (defined as Pediatric Cerebral Performance Category [PCPC] level of moderate disability, severe disability, or vegetative state or coma) between LMICs and non-LMICs and performed a multivariable logistic regression analysis for predicting poor functional outcomes. RESULTS: In total, 771 children with TBIs were analyzed. Mortality was comparable between LMICs and non-LMICs (9.6% vs 12.9%, p = 0.146). Children with TBIs from LMICs were more likely to have a poor PCPC outcome (31.0% vs 21.3%, p = 0.004) and had fewer ICU-free days (median [IQR] 6 [0-10] days vs 8 [0-11] days, p = 0.004) and hospital-free days (median [IQR] 9 [0-18] days vs 13 [0-20] days, p = 0.007). Poor functional outcomes were associated with LMIC status (adjusted OR [aOR] 1.53, 95% CI 1.04-2.26), a lower Glasgow Coma Scale score (aOR 0.83, 95% CI 0.78-0.88), and the presence of multiple trauma (aOR 1.49, 95% CI 1.01-2.19). Children with TBIs in LMICs required greater resource utilization in the form of early intubation and mechanical ventilation (81.6% vs 73.2%, p = 0.006), use of hyperosmolar therapy (77.7% vs 63.6%, p < 0.001), and use of antiepileptic drugs (73.9% vs 53.1%, p < 0.001). CONCLUSIONS: Within Asia and Latin America, children with TBIs in LMICs were more likely to have poor functional outcomes and required greater resource utilization. Further research should focus on investigating causal factors and developing targeted interventions to mitigate these disparities.

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INTRODUCTION: We aimed to identify clinical characteristics, risk factors for diagnosis, and describe outcomes among children with AHT. METHODS: We performed an observational cohort study in tertiary care hospitals from 14 countries across Asia and Ibero-America. We included patients <5 years old who were admitted to participating pediatric intensive care units (PICUs) with moderate to severe traumatic brain injury (TBI). We performed descriptive analysis and multivariable logistic regression for risk factors of AHT. RESULTS: 47 (12%) out of 392 patients were diagnosed with AHT. Compared to those with accidental injuries, children with AHT were more frequently < 2 years old (42, 89.4% vs 133, 38.6%, p < 0.001), more likely to arrive by private transportation (25, 53.2%, vs 88, 25.7%, p < 0.001), but less likely to have multiple injuries (14, 29.8% vs 158, 45.8%, p = 0.038). The AHT group was more likely to suffer subdural hemorrhage (SDH) (39, 83.0% vs 89, 25.8%, p < 0.001), require antiepileptic medications (41, 87.2% vs 209, 60.6%, p < 0.001), and neurosurgical interventions (27, 57.40% vs 143, 41.40%, p = 0.038). Mortality, PICU length of stay, and functional outcomes at 3 months were similar in both groups. In the multivariable logistic regression, age <2 years old (aOR 8.44, 95%CI 3.07-23.2), presence of seizures (aOR 3.43, 95%CI 1.60-7.36), and presence of SDH (aOR 9.58, 95%CI 4.10-22.39) were independently associated with AHT. CONCLUSIONS: AHT diagnosis represented 12% of our TBI cohort. Overall, children with AHT required more neurosurgical interventions and the use of anti-epileptic medications. Children younger than 2 years and with SDH were independently associated with a diagnosis of AHT. TYPE OF STUDY: Observational cohort study. LEVEL OF EVIDENCE: III.

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Background: Recent research has demonstrated that machine learning (ML) has the potential to improve several aspects of medical application for critical illness, including sepsis. This scoping review aims to evaluate the feasibility of probabilistic graphical model (PGM) methods in pediatric sepsis application and describe the use of pediatric sepsis definition in these studies. Methods: Literature searches were conducted in PubMed, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL+), and Web of Sciences from 2000-2023. Keywords included "pediatric", "neonates", "infants", "machine learning", "probabilistic graphical model", and "sepsis". Results: A total of 3,244 studies were screened, and 72 were included in this scoping review. Sepsis was defined using positive microbiology cultures in 19 studies (26.4%), followed by the 2005's international pediatric sepsis consensus definition in 11 studies (15.3%), and Sepsis-3 definition in seven studies (9.7%). Other sepsis definitions included: bacterial infection, the international classification of diseases, clinicians' assessment, and antibiotic administration time. Among the most common ML approaches used were logistic regression (n=27), random forest (n=24), and Neural Network (n=18). PGMs were used in 13 studies (18.1%), including Bayesian classifiers (n=10), and the Markov Model (n=3). When applied on the same dataset, PGMs show a relatively inferior performance to other ML models in most cases. Other aspects of explainability and transparency were not examined in these studies. Conclusions: Current studies suggest that the performance of probabilistic graphic models is relatively inferior to other ML methods. However, its explainability and transparency advantages make it a potentially viable method for several pediatric sepsis studies and applications.

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Background: Introduction of the mRNA vaccination for coronavirus disease 2019 (COVID-19) has been associated with an increase in cases of peri/myocarditis. In our retrospective cross-sectional study, we aim to (I) describe paediatric chest pain attendance, and (II) study resource utilisation in the Emergency Department (ED) of KK Women's and Children's Hospital (KKH), stratified by pre-pandemic, during the pandemic pre- and post-COVID vaccination introduction in adolescents. Methods: We reviewed records of adolescents aged 12 to 18 years old who presented to our ED with the triage complaint of chest pain between 1 January 2019 to 31 January 2022, and determined the attendance rates, aetiologies and resource utilisation during the above time periods. Results: There were 2,418 ED attendances for chest pain in our study population. Among 887 inpatient admissions for chest pain, 1.8% were attributed to a cardiac cause. Comparing the pre-pandemic period to the period after the mRNA COVID-19 vaccination was introduced, ED chest pain rates increased from a median of 0.5% of ED attendances [interquartile range (IQR), 0.3-0.5%] to 0.9% (IQR, 0.7-2.0%) (P<0.001), while admission rates increased from a median of 26.2% of ED attendances (IQR, 24.1-29.1%) to 40.9% (IQR, 37.6-56.6%) (P<0.001). Cardiac enzyme orders among ED visits for chest pain increased from a pre-pandemic median of 0% (IQR, 0.0-2.6%) to a post-vaccination median of 26.1% (IQR, 17.2-56.2%) (P<0.001) and were due to concerns for vaccine-related myocarditis. Seven cases of probable vaccine-related myocarditis presented with chest pain to our ED. Conclusions: Paediatric chest pain is largely non-cardiac in origin. ED chest pain attendance rates and resource utilisation increased after the introduction of mRNA COVID-19 vaccination in adolescents.

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Background: To assist clinicians with identifying children at risk of severe outcomes, we assessed the association between laboratory findings and severe outcomes among severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected children and determined if SARS-CoV-2 test result status modified the associations. Methods: We conducted a cross-sectional analysis of participants tested for SARS-CoV-2 infection in 41 pediatric emergency departments in 10 countries. Participants were hospitalized, had laboratory testing performed, and completed 14-day follow-up. The primary objective was to assess the associations between laboratory findings and severe outcomes. The secondary objective was to determine if the SARS-CoV-2 test result modified the associations. Results: We included 1817 participants; 522 (28.7%) SARS-CoV-2 test-positive and 1295 (71.3%) test-negative. Seventy-five (14.4%) test-positive and 174 (13.4%) test-negative children experienced severe outcomes. In regression analysis, we found that among SARS-CoV-2-positive children, procalcitonin ≥0.5 ng/mL (adjusted odds ratio [aOR], 9.14; 95% CI, 2.90-28.80), ferritin >500 ng/mL (aOR, 7.95; 95% CI, 1.89-33.44), D-dimer ≥1500 ng/mL (aOR, 4.57; 95% CI, 1.12-18.68), serum glucose ≥120 mg/dL (aOR, 2.01; 95% CI, 1.06-3.81), lymphocyte count <1.0 × 109/L (aOR, 3.21; 95% CI, 1.34-7.69), and platelet count <150 × 109/L (aOR, 2.82; 95% CI, 1.31-6.07) were associated with severe outcomes. Evaluation of the interaction term revealed that a positive SARS-CoV-2 result increased the associations with severe outcomes for elevated procalcitonin, C-reactive protein (CRP), D-dimer, and for reduced lymphocyte and platelet counts. Conclusions: Specific laboratory parameters are associated with severe outcomes in SARS-CoV-2-infected children, and elevated serum procalcitonin, CRP, and D-dimer and low absolute lymphocyte and platelet counts were more strongly associated with severe outcomes in children testing positive compared with those testing negative.

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PURPOSE: Children with moderate traumatic brain injury (modTBI) (Glasgow Coma Scale (GCS) 9-13) may benefit from better stratification. We aimed to compare neurocritical care utilization and functional outcomes between children with high GCS modTBI (hmodTBI, GCS 11-13), low GCS modTBI (lmodTBI, GCS 9-10), and severe TBI (sTBI, GCS ≤ 8). We hypothesized that patients with lmodTBI have higher neurocritical care needs and worse outcomes than patients with hmodTBI and are similar to patients with sTBI. METHODS: Prospective observational study from June 2018 to October 2022 in 28 pediatric intensive care units (PICU) in Asia, South America, and Europe. We included children (age < 18 years) with modTBI and sTBI admitted to PICU and measured functional outcomes at 3 months using the Glasgow Outcome Scale-Extended Pediatric Revision (GOS-E Peds, scale 1-8, 1 = upper good recovery, 8 = death). RESULTS: We analyzed 409 patients: 98 (24%) and 311 (76%) with modTBI and sTBI, respectively. Patients with lmodTBI (vs. hmodTBI) were more likely to have invasive ICP monitoring (32.3% vs. 4.5%, p < 0.001), longer PICU stay (days, median [IQR]; 5.00 [4.00, 9.75] vs 4.00 [2.00, 5.00], p = 0.007), and longer hospital stay (days, median [IQR]: 13.00 [8.00, 17.00] vs. 8.00 [5.00, 12, 25], p = 0.015). Median GOS-E Peds scores were significantly different (hmodTBI (1.00 [1.00, 3.00]), lmodTBI (3.00 [IQR 2.00, 5.75]), and sTBI (5.00 [IQR 1.00, 6.00]) (p < 0.001)). After adjusting for age, sex, presence of polytrauma and cerebral edema, lmodTBI, and sTBI remained significantly associated with higher GOS-E scores (adjusted coefficient (standard error): 1.24 (0.52), p = 0.018, and 1.27 (0.33), p < 0.001, respectively) compared with hmodTBI. CONCLUSIONS: Children with lmodTBI have higher rates of neurocritical care utilization and worse functional outcomes than those with hmodTBI but better than those with sTBI. Children with lmodTBI may benefit from guideline-based management similar to what is implemented in children with sTBI. This work was performed in hospitals within the PACCMAN and LARed networks. No reprints will be ordered.

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