Direct-to-patient telemedicine: Expanding access to regional pediatric specialty care.

Telemedicine is seen as a useful tool in reducing gaps in health care but this technology-enabled care can also exacerbate health inequity if not implemented with a focus on inclusivity. Though many studies have reported improvements as well as exacerbation of disparities in access to care in their telehealth programs, there does not exist a common evaluation tool to assess these programs. To mitigate the impact of COVID-19 on health care workers and protect medically vulnerable children, in March 2020 we expanded our pre-established specialty and subspecialty direct-to-patient pediatric telemedicine program in a high volume urban pediatric health system. Our program aimed to prevent disparities in pediatric health care. In this study, using a "Pillars of Access" approach as a model to evaluate impact and access to care of our direct-to-patient telemedicine program, we analyzed the patients that were seen pre-COVID versus post-COVID. Our study demonstrated an increase in telemedicine visits for patients from diverse socioeconomic and racial backgrounds, and geographically underserved communities. We also observed an increase in telemedicine visits for mental health complaints and for certain categories of high-risk patients. This study was not designed to identify language and cultural barriers to telemedicine. Future identification of these specific barriers is needed. The tool to evaluate telehealth impact/access to care through a "Pillars of Access" approach presented here could serve as a model for implementation of telehealth programs. Our study highlights telemedicine programs as a mechanism to address healthcare inequity and overcome barriers to care.

Radiographic pneumonia in young febrile infants presenting to the emergency department: secondary analysis of a prospective cohort study.

OBJECTIVE: The lack of evidence-based criteria to guide chest radiograph (CXR) use in young febrile infants results in variation in its use with resultant suboptimal quality of care. We sought to describe the features associated with radiographic pneumonias in young febrile infants. STUDY DESIGN: Secondary analysis of a prospective cohort study in 18 emergency departments (EDs) in the Pediatric Emergency Care Applied Research Network from 2016 to 2019. Febrile (≥38°C) infants aged ≤60 days who received CXRs were included. CXR reports were categorised as 'no', 'possible' or 'definite' pneumonia. We compared demographics, clinical signs and laboratory tests among infants with and without pneumonias. RESULTS: Of 2612 infants, 568 (21.7%) had CXRs performed; 19 (3.3%) had definite and 34 (6%) had possible pneumonias. Patients with definite (4/19, 21.1%) or possible (11/34, 32.4%) pneumonias more frequently presented with respiratory distress compared with those without (77/515, 15.0%) pneumonias (adjusted OR 2.17; 95% CI 1.04 to 4.51). There were no differences in temperature or HR in infants with and without radiographic pneumonias. The median serum procalcitonin (PCT) level was higher in the definite (0.7 ng/mL (IQR 0.1, 1.5)) vs no pneumonia (0.1 ng/mL (IQR 0.1, 0.3)) groups, as was the median absolute neutrophil count (ANC) (definite, 5.8 K/mcL (IQR 3.9, 6.9) vs no pneumonia, 3.1 K/mcL (IQR 1.9, 5.3)). No infants with pneumonia had bacteraemia. Viral detection was frequent (no pneumonia (309/422, 73.2%), definite pneumonia (11/16, 68.8%), possible pneumonia (25/29, 86.2%)). Respiratory syncytial virus was the predominant pathogen in the pneumonia groups and rhinovirus in infants without pneumonias. CONCLUSIONS: Radiographic pneumonias were uncommon in febrile infants. Viral detection was common. Pneumonia was associated with respiratory distress, but few other factors. Although ANC and PCT levels were elevated in infants with definite pneumonias, further work is necessary to evaluate the role of blood biomarkers in infant pneumonias.

The role of telehealth in pediatric emergency care.

In 2006, the Institute of Medicine published a report titled "Emergency Care for Children: Growing Pains," in which it described pediatric emergency care as uneven at best. Since then, telehealth has emerged as one of the great equalizers in care of children, particularly for those in rural and underresourced communities. Clinicians in these settings may lack pediatric-specific specialization or experience in caring for critically ill or injured children. Telehealth consultation can provide timely and safe management for many medical problems in children and can prevent many unnecessary and often long transport to a pediatric center while avoiding delays in care, especially for time-sensitive and acute interventions. Telehealth is an important component of pediatric readiness of hospitals and is a valuable tool in facilitating health care access in low resourced and critical access areas. This paper provides an overview of meaningful applications of telehealth programs in pediatric emergency medicine, discusses the impact of the COVID-19 pandemic on these services, and highlights challenges in setting up, adopting, and maintaining telehealth services.

Serious Bacterial Infections in Young Febrile Infants With Positive Urinalysis Results.

It is unknown whether febrile infants 29 to 60 days old with positive urinalysis results require routine lumbar punctures for evaluation of bacterial meningitis. OBJECTIVE: To determine the prevalence of bacteremia and/or bacterial meningitis in febrile infants ≤60 days of age with positive urinalysis (UA) results. METHODS: Secondary analysis of a prospective observational study of noncritical febrile infants ≤60 days between 2011 and 2019 conducted in the Pediatric Emergency Care Applied Research Network emergency departments. Participants had temperatures ≥38°C and were evaluated with blood cultures and had UAs available for analysis. We report the prevalence of bacteremia and bacterial meningitis in those with and without positive UA results. RESULTS: Among 7180 infants, 1090 (15.2%) had positive UA results. The risk of bacteremia was higher in those with positive versus negative UA results (63/1090 [5.8%] vs 69/6090 [1.1%], difference 4.7% [3.3% to 6.1%]). There was no difference in the prevalence of bacterial meningitis in infants ≤28 days of age with positive versus negative UA results (∼1% in both groups). However, among 697 infants aged 29 to 60 days with positive UA results, there were no cases of bacterial meningitis in comparison to 9 of 4153 with negative UA results (0.2%, difference -0.2% [-0.4% to -0.1%]). In addition, there were no cases of bacteremia and/or bacterial meningitis in the 148 infants ≤60 days of age with positive UA results who had the Pediatric Emergency Care Applied Research Network low-risk blood thresholds of absolute neutrophil count <4 × 103 cells/mm3 and procalcitonin <0.5 ng/mL. CONCLUSIONS: Among noncritical febrile infants ≤60 days of age with positive UA results, there were no cases of bacterial meningitis in those aged 29 to 60 days and no cases of bacteremia and/or bacterial meningitis in any low-risk infants based on low-risk blood thresholds in both months of life. These findings can guide lumbar puncture use and other clinical decision making.

Defining AMIA's artificial intelligence principles.

Recent advances in the science and technology of artificial intelligence (AI) and growing numbers of deployed AI systems in healthcare and other services have called attention to the need for ethical principles and governance. We define and provide a rationale for principles that should guide the commission, creation, implementation, maintenance, and retirement of AI systems as a foundation for governance throughout the lifecycle. Some principles are derived from the familiar requirements of practice and research in medicine and healthcare: beneficence, nonmaleficence, autonomy, and justice come first. A set of principles follow from the creation and engineering of AI systems: explainability of the technology in plain terms; interpretability, that is, plausible reasoning for decisions; fairness and absence of bias; dependability, including "safe failure"; provision of an audit trail for decisions; and active management of the knowledge base to remain up to date and sensitive to any changes in the environment. In organizational terms, the principles require benevolence-aiming to do good through the use of AI; transparency, ensuring that all assumptions and potential conflicts of interest are declared; and accountability, including active oversight of AI systems and management of any risks that may arise. Particular attention is drawn to the case of vulnerable populations, where extreme care must be exercised. Finally, the principles emphasize the need for user education at all levels of engagement with AI and for continuing research into AI and its biomedical and healthcare applications.

Ambulatory cardiology telemedicine: a large academic pediatric center experience.

We performed a retrospective study of cardiology telemedicine visits at a large academic pediatric center between 2016 and 2019 (pre COVID-19). Telemedicine patient visits were matched to data from their previous in-person visits, to evaluate any significant differences in total charge, insurance compensation, patient payment, percent reimbursement and zero reimbursement. Miles were measured between patient's home and the address of previous visit. We found statistically significant differences in mean charges of telemedicine versus in-person visits (2019US$) (172.95 vs 218.27, p=0.0046), patient payment for telemedicine visits versus in-person visits (2019US$) (11.13 vs 62.83, p≤0.001), insurance reimbursement (2019US$) (65.18 vs 110.85, p≤0.001) and insurance reimbursement rate (43% vs 61%, p=0.0029). Rate of zero reimbursement was not different. Mean distance from cardiology clinic was 35 miles. No adverse outcomes were detected. This small retrospective study showed cost reduction and a decrease in travel time for families participating in telemedicine visits. Future work is needed to enhance compensation for telemedicine visits.

Telehealth in pediatric emergency medicine.

Modern technologies and contemporary clinical practice have set the stage for the integration of telehealth into existing models of healthcare. These models of telehealth care offer novel opportunities for advancing pediatric emergency care. In this manuscript, we introduce applications of telehealth in pediatric emergency medicine (PEM) with the pediatric emergency department (ED) both as originating site and distant site. We present barriers to adoption, implementation, and sustaining PEM telehealth programs, as well as strategies to overcome those. We discuss cost and finances as well as policy considerations and implications. Lastly, we review strategies for evaluation to assess program impact and ensure sustainability.

Radiographic Pneumonia in Febrile Infants 60 Days and Younger.

OBJECTIVE: Few prospective studies have assessed the occurrence of radiographic pneumonia in young febrile infants. We analyzed factors associated with radiographic pneumonias in febrile infants 60 days or younger evaluated in pediatric emergency departments. STUDY DESIGN: We conducted a planned secondary analysis of a prospective cohort study within 26 emergency departments in a pediatric research network from 2008 to 2013. Febrile (≥38°C) infants 60 days or younger who received chest radiographs were included. Chest radiograph reports were categorized as "no," "possible," or "definite" pneumonia. We compared demographics, Yale Observation Scale scores (>10 implying ill appearance), laboratory markers, blood cultures, and viral testing among groups. RESULTS: Of 4778 infants, 1724 (36.1%) had chest radiographs performed; 2.7% (n = 46) had definite pneumonias, and 3.9% (n = 67) had possible pneumonias. Patients with definite (13/46 [28.3%]) or possible (15/67 [22.7%]) pneumonias more frequently had Yale Observation Scale score >10 compared with those without pneumonias (210/1611 [13.2%], P = 0.002) in univariable and multivariable analyses. Median white blood cell count (WBC), absolute neutrophil count (ANC), and procalcitonin (PCT) were higher in the definite (WBC, 11.5 [interquartile range, 9.8-15.5]; ANC, 5.0 [3.2-7.6]; PCT, 0.4 [0.2-2.1]) versus no pneumonia (WBC, 10.0 [7.6-13.3]; ANC, 3.4 [2.1-5.4]; PCT, 0.2 [0.2-0.3]; WBC, P = 0.006; ANC, P = 0.002; PCT, P = 0.046) groups, but of unclear clinical significance. There were no cases of bacteremia in the definite pneumonia group. Viral infections were more frequent in groups with definite (25/38 [65.8%]) and possible (28/55 [50.9%]) pneumonias than no pneumonias (534/1185 [45.1%], P = 0.02). CONCLUSIONS: Radiographic pneumonias were uncommon, often had viruses detected, and were associated with ill appearance, but few other predictors, in febrile infants 60 days or younger.

Rapid deployment of a telemedicine care model for genetics and metabolism during COVID-19.

The national importance of telemedicine for safe and effective patient care has been highlighted by the current COVID-19 pandemic. Prior to the 2020 pandemic the Division of Genetics and Metabolism piloted a telemedicine program focused on initial and follow-up visits in the patients' home. The goals were to increase access to care, decrease missed work, improve scheduling, and avoid the transport and exposure of medically fragile patients. Visits were conducted by physician medical geneticists, genetic counselors, and biochemical dietitians, together and separately. This allowed the program to develop detailed standard operating procedures. At the onset of the COVID-19 pandemic, this pilot-program was deployed by the full team of 22 providers in one business day. Two physicians remained on-site for patients requiring in-person evaluations. This model optimized patient safety and workforce preservation while providing full access to patients during a pandemic. We provide initial data on visit numbers, types of diagnoses, and no-show rates. Experience in this implementation before and during the pandemic has confirmed the effectiveness and value of telemedicine for a highly complex medical population. This program is a model that can and will be continued well-beyond the current crisis.

A Clinical Prediction Rule to Identify Febrile Infants 60 Days and Younger at Low Risk for Serious Bacterial Infections.

Importance: In young febrile infants, serious bacterial infections (SBIs), including urinary tract infections, bacteremia, and meningitis, may lead to dangerous complications. However, lumbar punctures and hospitalizations involve risks and costs. Clinical prediction rules using biomarkers beyond the white blood cell count (WBC) may accurately identify febrile infants at low risk for SBIs. Objective: To derive and validate a prediction rule to identify febrile infants 60 days and younger at low risk for SBIs. Design, Setting, and Participants: Prospective, observational study between March 2011 and May 2013 at 26 emergency departments. Convenience sample of previously healthy febrile infants 60 days and younger who were evaluated for SBIs. Data were analyzed between April 2014 and April 2018. Exposures: Clinical and laboratory data (blood and urine) including patient demographics, fever height and duration, clinical appearance, WBC, absolute neutrophil count (ANC), serum procalcitonin, and urinalysis. We derived and validated a prediction rule based on these variables using binary recursive partitioning analysis. Main Outcomes and Measures: Serious bacterial infection, defined as urinary tract infection, bacteremia, or bacterial meningitis. Results: We derived the prediction rule on a random sample of 908 infants and validated it on 913 infants (mean age was 36 days, 765 were girls [42%], 781 were white and non-Hispanic [43%], 366 were black [20%], and 535 were Hispanic [29%]). Serious bacterial infections were present in 170 of 1821 infants (9.3%), including 26 (1.4%) with bacteremia, 151 (8.3%) with urinary tract infections, and 10 (0.5%) with bacterial meningitis; 16 (0.9%) had concurrent SBIs. The prediction rule identified infants at low risk of SBI using a negative urinalysis result, an ANC of 4090/µL or less (to convert to ×109 per liter, multiply by 0.001), and serum procalcitonin of 1.71 ng/mL or less. In the validation cohort, the rule sensitivity was 97.7% (95% CI, 91.3-99.6), specificity was 60.0% (95% CI, 56.6-63.3), negative predictive value was 99.6% (95% CI, 98.4-99.9), and negative likelihood ratio was 0.04 (95% CI, 0.01-0.15). One infant with bacteremia and 2 infants with urinary tract infections were misclassified. No patients with bacterial meningitis were missed by the rule. The rule performance was nearly identical when the outcome was restricted to bacteremia and/or bacterial meningitis, missing the same infant with bacteremia. Conclusions and Relevance: We derived and validated an accurate prediction rule to identify febrile infants 60 days and younger at low risk for SBIs using the urinalysis, ANC, and procalcitonin levels. Once further validated on an independent cohort, clinical application of the rule has the potential to decrease unnecessary lumbar punctures, antibiotic administration, and hospitalizations.

Acute-Onset Flaccid Hemiparesis in a 9-Year-Old Boy With Presumed Enteroviral Infection.

In the summer and autumn of 2014, a cluster of cases of flaccid paralysis were seen in the United States related to patients infected with enterovirus D68 (EV-D68). We present here a case of acute-onset flaccid hemiparesis in a previously healthy boy with altered mental status, hypothermia, and bowel incontinence.

Epidemiology of Bacteremia in Febrile Infants Aged 60 Days and Younger.

STUDY OBJECTIVE: To describe the current epidemiology of bacteremia in febrile infants 60 days of age and younger in the Pediatric Emergency Care Applied Research Network (PECARN). METHODS: We conducted a planned secondary analysis of a prospective observational study of febrile infants 60 days of age and younger presenting to any of 26 PECARN emergency departments (2008 to 2013) who had blood cultures obtained. We excluded infants with significant comorbidities or critically ill appearance. The primary outcome was prevalence of bacteremia. RESULTS: Of 7,335 screened infants, 4,778 (65.1%) had blood cultures and were enrolled. Of these patients, 84 had bacteremia (1.8%; 95% confidence interval [CI] 1.4% to 2.2%). The prevalence of bacteremia in infants aged 28 days or younger (47/1,515) was 3.1% (95% CI 2.3% to 4.1%); in infants aged 29 to 60 days (37/3,246), 1.1% (95% CI 0.8% to 1.6%). Prevalence differed by week of age for infants 28 days of age and younger (0 to 7 days: 4/156, 2.6%; 8 to 14 days: 19/356, 5.3%; 15 to 21 days: 15/449, 3.3%; and 22 to 28 days: 9/554, 1.6%). The most common pathogens were Escherichia coli (39.3%; 95% CI 29.5% to 50.0%) and group B streptococcus (23.8%; 95% CI 16.0% to 33.9%). Bacterial meningitis occurred in 19 of 1,515 infants 28 days of age and younger (1.3%; 95% CI 0.8% to 2.0%) and 5 of 3,246 infants aged 29 to 60 days (0.2%; 95% CI 0.1% to 0.4%). Of 84 infants with bacteremia, 36 (42.9%; 95% CI 32.8% to 53.5%) had urinary tract infections (E coli 83%); 11 (13.1%; 95% CI 7.5% to 21.9%) had bacterial meningitis. CONCLUSION: The prevalence of bacteremia and meningitis among febrile infants 28 days of age and younger is high and exceeds that observed in infants aged 29 to 60 days. E coli and group B streptococcus are the most common bacterial pathogens.

Accuracy of Complete Blood Cell Counts to Identify Febrile Infants 60 Days or Younger With Invasive Bacterial Infections.

Importance: Clinicians often risk stratify young febrile infants for invasive bacterial infections (IBIs), defined as bacteremia and/or bacterial meningitis, using complete blood cell count parameters. Objective: To estimate the accuracy of individual complete blood cell count parameters to identify febrile infants with IBIs. Design, Setting, and Participants: Planned secondary analysis of a prospective observational cohort study comprising 26 emergency departments in the Pediatric Emergency Care Applied Research Network from 2008 to 2013. We included febrile (≥38°C), previously healthy, full-term infants younger than 60 days for whom blood cultures were obtained. All infants had either cerebrospinal fluid cultures or 7-day follow-up. Main Outcomes and Measures: We tested the accuracy of the white blood cell count, absolute neutrophil count, and platelet count at commonly used thresholds for IBIs. We determined optimal thresholds using receiver operating characteristic curves. Results: Of 4313 enrolled infants, 1340 (31%; 95% CI, 30% to 32%) were aged 0 to 28 days, 2412 were boys (56%), and 2471 were white (57%). Ninety-seven (2.2%; 95% CI, 1.8% to 2.7%) had IBIs. Sensitivities were low for common complete blood cell count parameter thresholds: white blood cell count less than 5000/µL, 10% (95% CI, 4% to 16%) (to convert to 109 per liter, multiply by 0.001); white blood cell count ≥15 000/µL, 27% (95% CI, 18% to 36%); absolute neutrophil count ≥10 000/µL, 18% (95% CI, 10% to 25%) (to convert to × 109 per liter, multiply by 0.001); and platelets <100 × 103/µL, 7% (95% CI, 2% to 12%) (to convert to × 109 per liter, multiply by 1). Optimal thresholds for white blood cell count (11 600/µL), absolute neutrophil count (4100/µL), and platelet count (362 × 103/µL) were identified in models that had areas under the receiver operating characteristic curves of 0.57 (95% CI, 0.50-0.63), 0.70 (95% CI, 0.64-0.76), and 0.61 (95% CI, 0.55-0.67), respectively. Conclusions and Relevance: No complete blood cell count parameter at commonly used or optimal thresholds identified febrile infants 60 days or younger with IBIs with high accuracy. Better diagnostic tools are needed to risk stratify young febrile infants for IBIs.

Prevalence of Brain Injuries and Recurrence of Seizures in Children With Posttraumatic Seizures.

OBJECTIVES: Computed tomography (CT) is often used in the emergency department (ED) evaluation of children with posttraumatic seizures (PTS); however, the frequency of traumatic brain injuries (TBIs) and short-term seizure recurrence is lacking. Our main objective was to evaluate the frequency of TBIs on CT and short-term seizure recurrence in children with PTS. We also aimed to determine the associations between the likelihood of TBI on CT with the timing of onset of PTS after the traumatic event and duration of PTS. Finally, we aimed to determine whether patients with normal CT scans and normal neurological examinations are safe for discharge from the ED. METHODS: This was a planned secondary analysis from a prospective observational cohort study to derive and validate a neuroimaging decision rule for children after blunt head trauma at 25 EDs in the Pediatric Emergency Care Applied Research Network. We evaluated children < 18 years with head trauma and PTS between June 2004 and September 2006. We assessed TBI on CT, neurosurgical interventions, and recurrent seizures within 1 week. Patients discharged from the ED were contacted by telephone 1 week to 3 months later. RESULTS: Of 42,424 children enrolled, 536 (1.3%, 95% confidence interval [CI] = 1.2%-1.4%) had PTS. A total of 466 of 536 (86.9%, 95% CI = 83.8%-89.7%) underwent CT in the ED. TBIs on CT were identified in 72 (15.5%, 95% CI = 12.3%-19.1%), of whom 20 (27.8%, 95% CI = 17.9%-39.6%) underwent neurosurgical intervention and 15 (20.8%, 95% CI = 12.2%-32.0%) had recurrent seizures. Of the 464 without TBIs on CT (or no CTs performed), 457 had recurrent seizure status known, and five (1.1%, 95 CI = 0.4%-2.5%) had recurrent seizures; four of five presented with Glasgow Coma Scale scores < 15. None of the 464 underwent neurosurgical intervention. We found significant associations between likelihood of TBI on CT with longer time until the PTS after the traumatic event (p = 0.006) and longer duration of PTS (p < 0.001). CONCLUSIONS: Children with PTS have a high likelihood of TBI on CT, and those with TBI on CT frequently require neurosurgical interventions and frequently have recurrent seizures. Those without TBIs on CT, however, are at low risk of short-term recurrent seizures, and none required neurosurgical interventions. Therefore, if CT-negative and neurologically normal, patients with PTS may be safely considered for discharge from the ED.

Quality Improvement in Pediatric Head Trauma with PECARN Rules Implementation as Computerized Decision Support.

BACKGROUND: For the 1.4 million emergency department (ED) visits for traumatic brain injury (TBI) annually in the United States, computed tomography (CT) may be over utilized. The Pediatric Emergency Care Applied Research Network developed 2 prediction rules to identify children at very low risk of clinically important TBI. We implemented these prediction rules as decision support within our electronic health record (EHR) to reduce CT. OBJECTIVE: To test EHR decision support implementation in reducing CT rates for head trauma at 2 pediatric EDs. METHODS: We compared monthly CT rates 1 year before [preimplementation (PRE)] and 1 year after [postimplementation (POST)] decision support implementation. The primary outcome was change in CT use rate over time, measured using statistical process control charts. Secondary analyses included multivariate comparisons of PRE to POST. Balancing measures included ED length of stay and returns within 7 days after ED release. RESULTS: There were 2,878 patients with head trauma (1,329 PRE and 1,549 POST) included. Statistical process control charts confirmed decreased CT rates over time POST that was not present PRE. Secondary statistical analyses confirmed that CT scan utilization rates decreased from 26.8% to 18.9% (unadjusted Odds Ratio [OR], 0.64; 95% Confidence Interval [CI], 0.53 -0.76; adjusted OR, 0.71; 95% CI, 0.58 -0.86). Length of stay was unchanged. There was no increase in returns within 7 days and no significant missed diagnoses. CONCLUSIONS: Implementation of EHR-integrated decision support for children with head trauma presenting to the ED is associated with a decrease in CT utilization and no increase in significant safety events.

Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger.

IMPORTANCE: Young febrile infants are at substantial risk of serious bacterial infections; however, the current culture-based diagnosis has limitations. Analysis of host expression patterns ("RNA biosignatures") in response to infections may provide an alternative diagnostic approach. OBJECTIVE: To assess whether RNA biosignatures can distinguish febrile infants aged 60 days or younger with and without serious bacterial infections. DESIGN, SETTING, AND PARTICIPANTS: Prospective observational study involving a convenience sample of febrile infants 60 days or younger evaluated for fever (temperature >38° C) in 22 emergency departments from December 2008 to December 2010 who underwent laboratory evaluations including blood cultures. A random sample of infants with and without bacterial infections was selected for RNA biosignature analysis. Afebrile healthy infants served as controls. Blood samples were collected for cultures and RNA biosignatures. Bioinformatics tools were applied to define RNA biosignatures to classify febrile infants by infection type. EXPOSURE: RNA biosignatures compared with cultures for discriminating febrile infants with and without bacterial infections and infants with bacteremia from those without bacterial infections. MAIN OUTCOMES AND MEASURES: Bacterial infection confirmed by culture. Performance of RNA biosignatures was compared with routine laboratory screening tests and Yale Observation Scale (YOS) scores. RESULTS: Of 1883 febrile infants (median age, 37 days; 55.7% boys), RNA biosignatures were measured in 279 randomly selected infants (89 with bacterial infections-including 32 with bacteremia and 15 with urinary tract infections-and 190 without bacterial infections), and 19 afebrile healthy infants. Sixty-six classifier genes were identified that distinguished infants with and without bacterial infections in the test set with 87% (95% CI, 73%-95%) sensitivity and 89% (95% CI, 81%-93%) specificity. Ten classifier genes distinguished infants with bacteremia from those without bacterial infections in the test set with 94% (95% CI, 70%-100%) sensitivity and 95% (95% CI, 88%-98%) specificity. The incremental C statistic for the RNA biosignatures over the YOS score was 0.37 (95% CI, 0.30-0.43). CONCLUSIONS AND RELEVANCE: In this preliminary study, RNA biosignatures were defined to distinguish febrile infants aged 60 days or younger with vs without bacterial infections. Further research with larger populations is needed to refine and validate the estimates of test accuracy and to assess the clinical utility of RNA biosignatures in practice.

Clinical Presentations and Outcomes of Children With Basilar Skull Fractures After Blunt Head Trauma.

STUDY OBJECTIVE: We describe presentations and outcomes of children with basilar skull fractures in the emergency department (ED) after blunt head trauma. METHODS: This was a secondary analysis of an observational cohort of children with blunt head trauma. Basilar skull fracture was defined as physical examination signs of basilar skull fracture without basilar skull fracture on computed tomography (CT), or basilar skull fracture on CT regardless of physical examination signs of basilar skull fracture. Other definitions included isolated basilar skull fracture (physical examination signs of basilar skull fracture or basilar skull fracture on CT with no other intracranial injuries on CT) and acute adverse outcomes (death, neurosurgery, intubation for >24 hours, and hospitalization for ≥2 nights with intracranial injury on CT). RESULTS: Of 42,958 patients, 558 (1.3%) had physical examination signs of basilar skull fracture, basilar skull fractures on CT, or both. Of the 525 (94.1%) CT-imaged patients, 162 (30.9%) had basilar skull fracture on CT alone, and 104 (19.8%) had both physical examination signs of basilar skull fracture and basilar skull fracture on CT; 269 patients (51.2%) had intracranial injuries other than basilar skull fracture on CT. Of the 363 (91.7%) CT-imaged patients with physical examination signs of basilar skull fracture, 104 (28.7%) had basilar skull fracture on CT. Of 266 patients with basilar skull fracture on CT, 104 (39.1%) also had physical examination signs of basilar skull fracture. Of the 256 CT-imaged patients who had isolated basilar skull fracture, none had acute adverse outcomes (0%; 95% confidence interval 0% to 1.4%), including none (0%; 95% confidence interval 0% to 6.1%) of 59 with isolated basilar skull fractures on CT. CONCLUSION: Approximately 1% of children with blunt head trauma have physical examination signs of basilar skull fracture or basilar skull fracture on CT. The latter increases the risk of acute adverse outcomes more than physical examination signs of basilar skull fracture. A CT scan is needed to adequately stratify the risk of acute adverse outcomes for these children. Children with isolated basilar skull fractures are at low risk for acute adverse outcomes and, if neurologically normal after CT and observation, are candidates for ED discharge.

Comparison of Prediction Rules and Clinician Suspicion for Identifying Children With Clinically Important Brain Injuries After Blunt Head Trauma.

OBJECTIVE: Children with minor head trauma frequently present to emergency departments (EDs). Identifying those with traumatic brain injuries (TBIs) can be difficult, and it is unknown whether clinical prediction rules outperform clinician suspicion. Our primary objective was to compare the test characteristics of the Pediatric Emergency Care Applied Research Network (PECARN) TBI prediction rules to clinician suspicion for identifying children with clinically important TBIs (ciTBIs) after minor blunt head trauma. Our secondary objective was to determine the reasons for obtaining computed tomography (CT) scans when clinical suspicion of ciTBI was low. METHODS: This was a planned secondary analysis of a previously conducted observational cohort study conducted in PECARN to derive and validate clinical prediction rules for ciTBI among children with minor blunt head trauma in 25 PECARN EDs. Clinicians recorded their suspicion of ciTBI before CT as <1, 1-5, 6-10, 11-50, or >50%. We defined ciTBI as 1) death from TBI, 2) neurosurgery, 3) intubation for more than 24 hours for TBI, or 4) hospital admission of 2 nights or more associated with TBI on CT. To avoid overfitting of the prediction rules, we performed comparisons of the prediction rules and clinician suspicion on the validation group only. On the validation group, we compared the test accuracies of clinician suspicion > 1% versus having at least one predictor in the PECARN TBI age-specific prediction rules for identifying children with ciTBIs (one rule for children <2 years [preverbal], the other rule for children >2 years [verbal]). RESULTS: In the parent study, we enrolled 8,627 children to validate the prediction rules, after enrolling 33,785 children to derive the prediction rules. In the validation group, clinician suspicion of ciTBI was recorded in 8,496/8,627 (98.5%) patients, and 87 (1.0%) had ciTBIs. CT scans were obtained in 2,857 (33.6%) patients in the validation group for whom clinician suspicion of ciTBI was recorded, including 2,099/7,688 (27.3%) of those with clinician suspicion of ciTBI of <1% and 758/808 (93.8%) of those with clinician suspicion >1%. The PECARN prediction rules were significantly more sensitive than clinician suspicion >1% of ciTBI for preverbal (100% [95% confidence interval {CI} = 86.3% to 100%] vs. 60.0% [95% CI = 38.7% to 78.9%]) and verbal children (96.8% [95% CI = 88.8% to 99.6%] vs. 64.5% [95% CI = 51.3% to 76.3%]). Prediction rule specificity, however, was lower than clinician suspicion >1% for preverbal children (53.6% [95% CI = 51.5% to 55.7%] vs. 92.4% [95% CI = 91.2% to 93.5%]) and verbal children (58.2% [95% CI = 56.9% to 59.4%] vs. 90.6% [95% CI = 89.8% to 91.3%]). Of the 7,688 patients in the validation group with clinician suspicion recorded as <1%, CTs were nevertheless obtained in 2,099 (27.3%). Three of 16 (18.8%) patients undergoing neurosurgery had clinician suspicion of ciTBI <1%. CONCLUSIONS: The PECARN TBI prediction rules had substantially greater sensitivity, but lower specificity, than clinician suspicion of ciTBI for children with minor blunt head trauma. Because CT ordering did not follow clinician suspicion of <1%, these prediction rules can augment clinician judgment and help obviate CT ordering for children at very low risk of ciTBI.

Comparison of Clinician Suspicion Versus a Clinical Prediction Rule in Identifying Children at Risk for Intra-abdominal Injuries After Blunt Torso Trauma.

OBJECTIVES: Emergency department (ED) identification and radiographic evaluation of children with intra-abdominal injuries who need acute intervention can be challenging. To date, it is unclear if a clinical prediction rule is superior to unstructured clinician judgment in identifying these children. The objective of this study was to compare the test characteristics of clinician suspicion with a derived clinical prediction rule to identify children at risk of intra-abdominal injuries undergoing acute intervention following blunt torso trauma. METHODS: This was a planned subanalysis of a prospective, multicenter observational study of children (<18 years old) with blunt torso trauma conducted in 20 EDs in the Pediatric Emergency Care Applied Research Network (PECARN). Clinicians documented their suspicion for the presence of intra-abdominal injuries needing acute intervention as <1, 1 to 5, 6 to 10, 11 to 50, or >50% prior to knowledge of abdominal computed tomography (CT) scanning (if performed). Intra-abdominal injuries undergoing acute intervention were defined by a therapeutic laparotomy, angiographic embolization, blood transfusion for abdominal hemorrhage, or intravenous fluid administration for 2 or more days in those with pancreatic or gastrointestinal injuries. Patients were considered to be positive for clinician suspicion if suspicion was documented as ≥1%. Suspicion ≥ 1% was compared to the presence of any variable in the prediction rule for identifying children with intra-abdominal injuries undergoing acute intervention. RESULTS: Clinicians recorded their suspicion in 11,919 (99%) of 12,044 patients enrolled in the parent study. Intra-abdominal injuries undergoing acute intervention were diagnosed in 203 (2%) patients. Abdominal CT scans were obtained in the ED in 2,302 of the 2,667 (86%, 95% confidence interval [CI] = 85% to 88%) enrolled patients with clinician suspicion ≥1% and in 3,016 of the 9,252 (33%, 95% CI = 32% to 34%) patients with clinician suspicion < 1%. Sensitivity of the prediction rule for intra-abdominal injuries undergoing acute intervention (197 of 203; 97.0%, 95% CI = 93.7% to 98.9%) was higher than that of clinician suspicion ≥1% (168 of 203; 82.8%, 95% CI = 76.9% to 87.7%; difference = 14.2%, 95% CI = 8.6% to 20.0%). Specificity of the prediction rule (4,979 of the 11,716; 42.5%, 95% CI = 41.6% to 43.4%), however, was lower than that of clinician suspicion (9,217 of the 11,716, 78.7%, 95% CI = 77.9% to 79.4%; difference = -36.2%, 95% CI = -37.3% to -35.0%). Thirty-five (0.4%, 95% CI = 0.3% to 0.5%) patients with clinician suspicion < 1% had intra-abdominal injuries that underwent acute intervention. CONCLUSIONS: The derived clinical prediction rule had a significantly higher sensitivity, but lower specificity, than clinician suspicion for identifying children with intra-abdominal injuries undergoing acute intervention. The higher specificity of clinician suspicion, however, did not translate into clinical practice, as clinicians frequently obtained abdominal CT scans in patients they considered very low risk. If validated, this prediction rule can assist in clinical decision-making around abdominal CT use in children with blunt torso trauma.

Isolated linear skull fractures in children with blunt head trauma.

BACKGROUND AND OBJECTIVE: Children and adolescents with minor blunt head trauma and isolated skull fractures are often admitted to the hospital. The objective of this study was to describe the injury circumstances and frequency of clinically important neurologic complications among children with minor blunt head trauma and isolated linear skull fractures. METHODS: This study was a planned secondary analysis of a large prospective cohort study in children <18 years old with blunt head trauma. Data were collected in 25 emergency departments. We analyzed patients with Glasgow Coma Scale scores of 14 or 15 and isolated linear skull fractures. We ascertained acute neurologic outcomes through clinical information collected during admission or via telephone or mail at least 1 week after the emergency department visit. RESULTS: In the parent study, we enrolled 43,904 children (11,035 [25%] <2 years old). Of those with imaging studies, 350 had isolated linear skull fractures. Falls were the most common injury mechanism, accounting for 70% (81% for ages <2 years old). Of 201 hospitalized children, 42 had computed tomography or MRI repeated; 5 had new findings but none required neurosurgical intervention. Of 149 patients discharged from the hospital, 20 had repeated imaging, and none had new findings. CONCLUSIONS: Children with minor blunt head trauma and isolated linear skull fractures are at very low risk of evolving other traumatic findings noted in subsequent imaging studies or requiring neurosurgical intervention. Hospital admission for neurologically normal children with isolated linear skull fractures after minor blunt head trauma for monitoring is typically unnecessary.