Surveillance of Health Care-Associated Violence Using Natural Language Processing.

BACKGROUND AND OBJECTIVES: Patient and family violent outbursts toward staff, caregivers, or through self-harm, have increased during the ongoing behavioral health crisis. These health care-associated violence (HAV) episodes are likely under-reported. We sought to assess the feasibility of using nursing notes to identify under-reported HAV episodes. METHODS: We extracted nursing notes across inpatient units at 2 hospitals for 2019: a pediatric tertiary care center and a community-based hospital. We used a workflow for narrative data processing using a natural language processing (NLP) assisted manual review process performed by domain experts (a nurse and a physician). We trained the NLP models on the tertiary care center data and validated it on the community hospital data. Finally, we applied these surveillance methods to real-time data for 2022 to assess reporting completeness of new cases. RESULTS: We used 70 981 notes from the tertiary care center for model building and internal validation and 19 332 notes from the community hospital for external validation. The final community hospital model sensitivity was 96.8% (95% CI 90.6% to 100%) and a specificity of 47.1% (39.6% to 54.6%) compared with manual review. We identified 31 HAV episodes in July to December 2022, of which 26 were reportable in accordance with the hospital internal criteria. Only 7 of 26 cases were reported by employees using the self-reporting system, all of which were identified by our surveillance process. CONCLUSIONS: NLP-assisted review is a feasible method for surveillance of under-reported HAV episodes, with implementation and usability that can be achieved even at a low information technology-resourced hospital setting.

Enhancing Pressure Injury Surveillance Using Natural Language Processing.

OBJECTIVE: This study assessed the feasibility of nursing handoff notes to identify underreported hospital-acquired pressure injury (HAPI) events. METHODS: We have established a natural language processing-assisted manual review process and workflow for data extraction from a corpus of nursing notes across all medical inpatient and intensive care units in a tertiary care pediatric center. This system is trained by 2 domain experts. Our workflow started with keywords around HAPI and treatments, then regular expressions, distributive semantics, and finally a document classifier. We generated 3 models: a tri-gram classifier, binary logistic regression model using the regular expressions as predictors, and a random forest model using both models together. Our final output presented to the event screener was generated using a random forest model validated using derivation and validation sets. RESULTS: Our initial corpus involved 70,981 notes during a 1-year period from 5484 unique admissions for 4220 patients. Our interrater human reviewer agreement on identifying HAPI was high ( κ = 0.67; 95% confidence interval [CI], 0.58-0.75). Our random forest model had 95% sensitivity (95% CI, 90.6%-99.3%), 71.2% specificity (95% CI, 65.1%-77.2%), and 78.7% accuracy (95% CI, 74.1%-83.2%). A total of 264 notes from 148 unique admissions (2.7% of all admissions) were identified describing likely HAPI. Sixty-one described new injuries, and 64 describe known yet possibly evolving injuries. Relative to the total patient population during our study period, HAPI incidence was 11.9 per 1000 discharges, and incidence rate was 1.2 per 1000 bed-days. CONCLUSIONS: Natural language processing-based surveillance is proven to be feasible and high yield using nursing handoff notes.

Natural language processing for identification of refractory status epilepticus in children.

OBJECTIVE: Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high mortality and morbidity. Utilizing electronic health records (EHRs) permits analysis of care approaches and disease outcomes at a lower cost than prospective research. However, reviewing EHR manually is time intensive. We aimed to compare refractory status epilepticus (rSE) cases identified by human EHR review with a natural language processing (NLP)-assisted rSE screen followed by a manual review. METHODS: We used the NLP screening tool Document Review Tool (DrT) to generate regular expressions, trained a bag-of-words NLP classifier on EHRs from 2017 to 2019, and then tested our algorithm on data from February to December 2012. We compared results from manual review to NLP-assisted search followed by manual review. RESULTS: Our algorithm identified 1528 notes in the test set. After removing notes pertaining to the same event by DrT, the user reviewed a total number of 400 notes to find patients with rSE. Within these 400 notes, we identified 31 rSE cases, including 12 new cases not found in manual review, and 19 of the 20 previously identified cases. The NLP-assisted model found 31 of 32 cases, with a sensitivity of 96.88% (95% CI = 82%-99.84%), whereas manual review identified 20 of 32 cases, with a sensitivity of 62.5% (95% CI = 43.75%-78.34%). SIGNIFICANCE: DrT provided a highly sensitive model compared to human review and an increase in patient identification through EHRs. The use of DrT is a suitable application of NLP for identifying patients with a history of recent rSE, which ultimately contributes to the implementation of monitoring techniques and treatments in near real time.

Bacteremia in Children With Fever and Acute Lower Extremity Pain.

BACKGROUND AND OBJECTIVES: Blood cultures (BCxs) are often obtained in the initial evaluation of children with fever and acute lower extremity pain; however, their yield in this population is unknown. We aim to describe the prevalence of bacteremia among children presenting to the emergency department (ED) with fever and acute lower extremity pain and identify predictors of bacteremia. METHODS: Cross-sectional review of children aged 1 to 18 years presenting to the ED with fever and acute lower extremity pain between 2010 and 2020. We excluded patients with trauma within the previous 24 hours, orthopedic comorbidity, immunocompromised status, or antibiotic pretreatment. We identified our cohort using a Natural Language Processing-assisted model with manual review and abstracted clinical data. Our primary outcome was a BCx positive for a pathogen. RESULTS: We screened 478 979 ED notes and identified 689 patients who met inclusion criteria. Median age was 5.3 years (interquartile range 2.7-8.8); 39.5% were female. BCxs were obtained from 75.9% (523/689) of patients, of which 510 were available for review. BCxs were positive in 70/510 (13.7%; 95% CI, confidence interval [CI], 10.9-17.0) of children and in 70/689 (10.2%; 95% CI, 8.0-12.7%) of the entire cohort. The most common pathogens were methicillin-susceptible Staphylococcus aureus (71.6%) and methicillin-resistant Staphylococcus aureus (15.7%). Predictors of bacteremia include C-reactive protein ≥3 mg/dL (odds ratio, 4.5; 95% CI, 2.1-9.6) and localizing examination findings (odds ratio, 3.3; 95% CI, 1.4-7.9). CONCLUSIONS: The prevalence of bacteremia among children presenting to the ED with fever and acute lower extremity pain is high. Routine BCx should be considered in the initial evaluation of this population.

Electronic surveillance of patient safety events using natural language processing.

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypothesize that a) some patient safety events are documented only in the clinical notes and not in any other accessible source; and b) large-scale abstraction of event data from clinical notes is feasible. MATERIALS AND METHODS: We use regular expressions to generate a training data set for a machine learning model and apply this model to the full set of clinical notes and conduct further review to identify safety events of interest. We demonstrate this approach on peripheral intravenous (PIV) infiltrations and extravasations (PIVIEs). RESULTS: During Phase 1, we collected 21,362 clinical notes, of which 2342 were reviewed. We identified 125 PIV events, of which 44 cases (35%) were not captured by other patient safety systems. During Phase 2, we collected 60,735 clinical notes and identified 440 infiltrate events. Our classifier demonstrated accuracy above 90%. CONCLUSION: Our method to identify safety events from the free text of clinical documentation offers a feasible and scalable approach to enhance existing patient safety systems. Expert reviewers, using a machine learning model, can conduct routine surveillance of patient safety events.

Racial and Ethnic Disparities in Pain Management of Children With Limb Fractures or Suspected Appendicitis: A Retrospective Cross-Sectional Study.

Objective: To evaluate whether racial/ethnical differences in analgesia administration existed in two different cohorts of children with painful conditions: children with either limb fracture or suspected appendicitis. Methods: Retrospective cross-sectional analysis of children visiting a pediatric emergency department (Boston Children Hospital) for limb fracture or suspected appendicitis from 2011 to 2015. We computed the proportion of children that received any analgesic treatment and any opioid analgesia. We performed multivariable logistic regressions to investigate race/ethnicity differences in analgesic and opioid administration, after adjusting for pain score, demographics and visit covariates. Results: Among the 8,347 children with a limb fracture and the 4,780 with suspected appendicitis, 65.0 and 60.9% received any analgesic treatment, and 35.9 and 33.4% an opioid analgesia, respectively. Compared to White non-Hispanic Children, Black non-Hispanic children and Hispanic children were less likely to receive opioid analgesia in both the limb fracture cohort [Black: aOR = 0.61 (95% CI, 0.50-0.75); Hispanic aOR = 0.66 (95% CI, 0.55-0.80)] and in the suspected appendicitis cohort [Black: aOR = 0.75 (95% CI, 0.58-0.96); Hispanic aOR = 0.78 (95% CI, 0.63-0.96)]. In the limb fracture cohort, Black non-Hispanic children and Hispanic children were more likely to receive any analgesic treatment (non-opioid or opioid) than White non-Hispanic children [Black: aOR = 1.63 (95% CI, 1.33-2.01); Hispanic aOR = 1.43 (95% CI, 1.19-1.72)]. Conclusion: Racial and ethnic disparities exist in the pain management of two different painful conditions, which suggests true inequities in health care delivery. To provide equitable analgesic care, emergency departments should monitor variation in analgesic management and develop appropriate universal interventions.

Prediction of patient disposition: comparison of computer and human approaches and a proposed synthesis.

OBJECTIVE: To compare the accuracy of computer versus physician predictions of hospitalization and to explore the potential synergies of hybrid physician-computer models. MATERIALS AND METHODS: A single-center prospective observational study in a tertiary pediatric hospital in Boston, Massachusetts, United States. Nine emergency department (ED) attending physicians participated in the study. Physicians predicted the likelihood of admission for patients in the ED whose hospitalization disposition had not yet been decided. In parallel, a random-forest computer model was developed to predict hospitalizations from the ED, based on data available within the first hour of the ED encounter. The model was tested on the same cohort of patients evaluated by the participating physicians. RESULTS: 198 pediatric patients were considered for inclusion. Six patients were excluded due to incomplete or erroneous physician forms. Of the 192 included patients, 54 (28%) were admitted and 138 (72%) were discharged. The positive predictive value for the prediction of admission was 66% for the clinicians, 73% for the computer model, and 86% for a hybrid model combining the two. To predict admission, physicians relied more heavily on the clinical appearance of the patient, while the computer model relied more heavily on technical data-driven features, such as the rate of prior admissions or distance traveled to hospital. DISCUSSION: Computer-generated predictions of patient disposition were more accurate than clinician-generated predictions. A hybrid prediction model improved accuracy over both individual predictions, highlighting the complementary and synergistic effects of both approaches. CONCLUSION: The integration of computer and clinician predictions can yield improved predictive performance.

Is lymphangitic streaking associated with different pathogens?

OBJECTIVES: Little is known regarding the differences in microbiology associated with cellulitis or abscess with or without lymphangitic streaking. The objective of our study is to assess whether there are differences in the pathogens identified from wound cultures of patients with paronychia with and without associated lymphangitis. METHODS: Retrospective cross-sectional study at a tertiary pediatric emergency department over 25 years. We opted to assess patients with paronychia of the finger, assuming that these cases will have a greater variety of causative pathogens compared to other cases of cellulitis and soft tissue abscess that are associated with nail biting. Case identification was conducted using a computerized text-screening search that was refined by manual chart review. We included patients from 1 month to 20 years of age who underwent an incision and drainage (I&D) of a paronychia and had a culture obtained. The presence or absence of lymphangitis was determined from the clinical narrative in the medical record. We excluded patients treated with antibiotics prior to I&D as well as immune-compromised patients. We used descriptive statistics for prevalence and χ2 tests for categorical variables. RESULTS: Two hundred sixty-six patients met inclusion criteria. The median age was 9.7 years [IQR 4.7, 15.4] and 45.1% were female. Twenty-two patients (8.3%) had lymphangitic streaking associated with their paronychia. Patients with lymphangitis streaking were similar to those without lymphangitis in terms of age and sex (p = 0.52 and p = 0.82, respectively). Overall, the predominant bacteria was MSSA (40%) followed by MRSA (26%). No significant differences were found between the pathogens in the 22 patients with associated lymphangitis compared to the 244 patients without. CONCLUSION: Staphylococcus aureus represent the majority of pathogens in paronychia, although streptococcal species and gram-negative bacteria were also common. Among patients with paronychia of the finger, there seems to be no association between pathogen type and presence of lymphangitic streaking.

Utility of Blood Cultures and Empiric Antibiotics in Febrile Pediatric Hemophilia Patients With Central Venous Access Devices.

BACKGROUND: Children with hemophilia frequently require long-term central venous access devices (CVADs) for regular infusion of factor products. Hemophilia patients are not immunocompromised, but the presence and use of CVADs are associated with infections including bacteremia. Currently, the utility of blood cultures in evaluation of the febrile hemophilia patient with an indwelling CVAD is unknown, nor is optimal empiric antibiotic use. METHODS: We performed a retrospective cross-sectional study of febrile immunocompetent hemophilia patients with CVADs presenting to a large academic urban pediatric emergency department from 1995 to 2017. We used a natural language processing electronic search, followed by manual chart review to construct the cohort. We analyzed rate of pathogen recovery from cultures of blood in subgroups of hemophilia patients, the pathogen profile, and the reported pathogen susceptibilities to ceftriaxone. RESULTS: Natural language processing electronic search identified 181 visits for fever among hemophilia patients with indwelling CVADs of which 147 cases from 44 unique patients met study criteria. Cultures of blood were positive in 56 (38%) of 147 patients (95% confidence interval, 30%-47%). Seventeen different organisms were isolated (10 pathogens and 7 possible pathogens) with Staphylococcus aureus and coagulase-negative Staphylococcus species as the most common. Thirty-four percent of isolates were reported as susceptible to ceftriaxone. Positive blood cultures were more common in cases involving patients with inhibitors (n = 71) versus those without (n = 76), odds ratio, 7.4 (95% confidence interval, 3.5-15.9). This was observed irrespective of hemophilia type. CONCLUSIONS: Febrile immunocompetent hemophilia patients with indwelling CVADs have high rates of bacteremia. Empiric antimicrobial therapy should be targeted to anticipated pathogens and take into consideration local susceptibility patterns for Staphylococcus aureus.

Bacteriology of pediatric breast abscesses beyond the neonatal period.

BACKGROUND: Limited data exist regarding the presentation and bacteriology of nonneonatal pediatric breast abscess. OBJECTIVE: To determine the bacteriology and characteristic presentation of pediatric breast abscesses in a tertiary care center. METHODS: Cross-sectional study of patients age 1 month to 21 years admitted to a pediatric Emergency Department (ED) between 1996 and 2018 with a breast abscess. Patients with pre-existing conditions were excluded. Records were reviewed to determine demographics, history, physical exam findings, wound culture results, imaging and ED disposition. We used descriptive statistics to describe prevalence of different bacteria. RESULTS: We identified 210 patients who met study criteria. Median age was 13.6 years [IQR 6.6, 17.4], and 91% (191/210) were females. Ninety-two patients (43.8%) were 'pre-treated' with antibiotics prior to ED visit, and 33/210 (16%) were febrile. Ultrasound was obtained in 85 patients (40.5%), 69 patients had a single abscess and 16 had multiple abscesses. Most patients were treated with antibiotics and 100 had a surgical intervention, of these 89 had I&D and 11 a needle aspiration. Admission rate was 45%. Culture results were available for 75 (75%). Thirty-three (44%) had a negative culture, or grew non-aureus staphylococci or other skin flora. Culture were positive for MSSA 21 (28%), MRSA 13 (17%), Proteus mirabilis 2 (2.6%), Serratia 1 (1.3%). Other organisms include Gram-negative bacilli, group A Streptococcus and enterococcus. CONCLUSIONS: Non-neonatal pediatric breast abscess bacteriology is no different than data published on other skin abscesses. MRSA coverage should be considered based on local prevalence in skin infections.

Variation in the Presentation of Intussusception by Age.

OBJECTIVE: To compare the clinical presentation of intussusception among children younger and older than 24 months of age. DESIGN/METHODS: We performed a retrospective cross-sectional cohort study of children treated in the emergency department, aged 1 month to 6 years, who had an abdominal ultrasound to evaluate for intussusception over a 5-year period. After stratifying by an age cut-point of 24 months, univariate and multivariate analyses were performed. RESULTS: One thousand two hundred fifty-eight cases of suspected intussusception were studied; median age was 1.7 years (interquartile range, 0.8, 2.9 years), and 37% were female. Intussusception was identified in 176 children (14%); 153 (87%) were ileocolic, and 23 were ileoileal. Abdominal pain (odds ratio, 4.0; 95% confidence interval [CI], 1.5-10.5), emesis (OR, 3.5; 95% CI, 1.8-6.7), bilious emesis (OR, 2.9; 95% CI, 1.5-5.7), lethargy (OR, 2.3; 95% CI, 1.3-5.7), rectal bleeding (OR, 2.8; 95% CI, 1.4-5.7), and irritability (OR, 0.4; 95% CI, 0.2-0.8) were found to be predictors in those younger than 24 months. In children older than 24 months, male sex was the only predictor identified (OR, 2.0; 95% CI, 1.1-3.7). In cases where abdominal radiographs were obtained (n = 1212), any abnormality on abdominal radiograph was found to be predictive in both age groups (OR, 7.8; 95% CI, 3.8-25.7; and OR, 3.1; 95% CI, 1.8-5.2, respectively). CONCLUSIONS: Intussusception presents differently in children younger than 24 months compared with older children. "Traditional" clinical predictors of intussusception should be interpreted with caution when assessing children older than 2 years.

Predictors of a drainable suppurative adenitis among children presenting with cervical adenopathy.

OBJECTIVES: We sought to identify predictors for a drainable suppurative adenitis [DSA] among patients presenting with acute cervical lymphadenitis. METHODS: A retrospective cross sectional study of all patients admitted to an urban pediatric tertiary care emergency department over a 15 year period. Otherwise healthy patients who underwent imaging for an evaluation of cervical lymphadenitis were included. Cases were identified using a text-search module followed by manual review. We excluded immunocompromised patients and those with lymphadenopathy felt to be not directly infected (i.e. reactive) or that was not acute (symptom duration >28 days). Data collected included: age, gender, duration of symptoms, highest recorded temperature, physical exam findings, laboratory and imaging results, and surgical findings. A DSA was defined as >1.5 cm in diameter on imaging. We performed binary logistic regression to determine independent clinical predictors of a DSA. RESULTS: Three hundred sixty-one patients met inclusion criteria. Three hundred six patients (85%) had a CT scan, 55 (15%) had an ultrasound and 33 (9%) had both. DSA was identified in 71 (20%) patients. Clinical features independently associated with a DSA included absence of clinical pharyngitis, WBC >15,000/mm3, age ≤3 years, anterior cervical chain location, largest palpable diameter on exam >3 cm and prior antibiotic treatment of >24 h. The presence of fever, skin erythema, or fluctuance on examination, was not found to be predictive of DSA. CONCLUSIONS: We identified independent predictors of DSA among children presenting with cervical adenitis. Risk can be stratified into risk groups based on these clinical features.

C-reactive protein or erythrocyte sedimentation rate results reliably exclude invasive bacterial infections.

BACKGROUND: Clinicians utilize inflammatory markers, including C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), to identify febrile children who may have an occult serious illness or infection. OBJECTIVES: Our objective was to determine the relationship between invasive bacterial infections (IBIs) and CRP and ESR in febrile children. METHODS: We performed a retrospective cross-sectional study of 1460 febrile children <21 years of age, who presented to a single Emergency Department (ED) between 2012 and 2014 for evaluation of fever of <14 days' duration, who had both CRP and ESR obtained. Our primary outcome was IBI, defined as growth of pathogenic bacteria from a culture of cerebrospinal fluid or blood. We reviewed all ED encounters that occurred within three days of the index visits for development of IBI. We examined the negative predictive value (NPV) of CRP and ESR for IBI. RESULTS: Of the 1460 eligible ED encounters, the median patient age was 5.3 years [interquartile range (IQR) 2.4-10.0 years] and 762 (50.4%) were hospitalized. The median duration of fever was 4 days (IQR 1-7 days). Overall, 20 had an IBI (20/1460; 1.4%, 95% confidence interval (CI) 0.9-2.1%). None of those with a normal CRP (NPV 273/273; 100%, 95% CI 98.6-100%) or a normal ESR (NPV 486/486; 100%, 95% CI 99.2-100%) had an IBI. CONCLUSIONS: In our cross-sectional study of febrile children, IBI was unlikely with either a normal CRP or ESR. Inflammatory markers could be used to assist clinical decision-making while awaiting results of bacterial cultures.

Predictors of Primary Intracranial Hypertension in Children Using a Newly Suggested Opening Pressure Cutoff of 280 mm H2O.

OBJECTIVES: We assessed the clinical characteristics of primary intracranial hypertension (PIH) in children using a newly recommended threshold for cerebrospinal fluid opening pressure (280 mm H2O). METHOD: Cross-sectional study of patients age ≤21 years who had a lumbar puncture done for evaluation of PIH. Patients were excluded if lumbar puncture was done for a suspected infection, seizure, mental status changes, multiple sclerosis, or Guillain-Barre syndrome. Cases were identified using a text-search module followed by manual review. We performed χ2 analysis for categorical data and Mann-Whitney U test for continuous data, followed by a binary logistic regression. RESULTS: We identified 374 patients of whom 67% were female, median age was 13 years interquartile range (11 to 16 years), and admission rate was 24%. Using an opening pressure cutoff of 250 mm H2O, 127 patients (34%) were identified as having PIH, whereas using the new cutoff 105 patients (28%) met PIH criteria. Predictors for PIH included optic disc edema or sixth nerve palsy using both old, odds ratio (OR) 7.6 (4.3, 13.5), and new cutoffs, OR 9.7 (95% confidence interval 5.1, 18.5). Headache duration ≤61 days is predictive of PIH using the new cutoff OR 4.1 (95% confidence interval 1.3, 12.8). A model is presented which stratifies patients into groups with low (7%), medium (18%), and high (greater than 42%) risk of PIH. CONCLUSIONS: A higher cerebrospinal fluid opening pressure threshold in the criteria of PIH is associated with PIH patients with a different symptom profile. Children with optic disc edema, bulging fontanel or sixth nerve palsy, are at increased risk for PIH.

Pediatric Emergency Department Visits for Homelessness After Shelter Eligibility Policy Change.

BACKGROUND AND OBJECTIVES: In 2012, Massachusetts changed its emergency shelter eligibility policy for homeless families. One new criterion to document homelessness was staying in a location "not meant for human habitation," and the emergency department (ED) fulfilled this requirement. Our aim for this study is to analyze the frequency and costs of pediatric ED visits for homelessness before and after this policy. METHODS: This is a retrospective study of ED visits for homelessness at a children's hospital from March 2010 to February 2016. A natural language processing tool was used to identify cases, which were manually reviewed for inclusion. We compared demographic and homelessness circumstance characteristics and conducted an interrupted time series analysis to compare ED visits by homeless children before and after the policy. We compared the change in ED visits for homelessness to the number of homeless children in Massachusetts. We analyzed payment data for each visit. RESULTS: There were 312 ED visits for homelessness; 95% (n = 297) of visits were after the policy. These visits increased 4.5 times after the policy (95% confidence interval: 1.33 to 15.23). Children seen after the policy were more likely to have no medical complaint (rate ratio: 3.27; 95% confidence interval: 1.18 to 9.01). Although the number of homeless children in Massachusetts increased 1.4 times over the study period, ED visits for homelessness increased 13-fold. Payments (average: $557 per visit) were >4 times what a night in a shelter would cost; 89% of payments were made through state-based insurance plans. CONCLUSIONS: A policy change to Massachusetts' shelter eligibility was associated with increased pediatric ED visits for homelessness along with substantial health care costs.

Should patients with complex febrile seizure be admitted for further management?

BACKGROUND AND AIMS: Children with first complex febrile seizure (CFS) are often admitted for observation. The goals of this study were 1) to assess the risk of seizure recurrence during admission, 2) to determine whether early EEG affects acute management. DESIGN/METHODS: We retrospectively reviewed a cohort of children 6-60months of age admitted from a Pediatric Emergency Department for first CFS over a 15year period. We excluded children admitted for supportive care of their febrile illness. Data extraction included age, gender, seizure features, laboratory and imaging studies, EEG, further seizures during admission, and antiepileptic drugs (AEDs) given. RESULTS: One hundred eighty three children met inclusion criteria. Seven patients had seizures during the admission (7/183 or 3.8%) Since 38 children were loaded with anti-epileptic medication during their visit, the adjusted rate is 7/145 or 4.8. Increased risk of seizure recurrence during admission was observed in children presenting with multiple seizures (P=0.005). EEG was performed in 104/183 children (57%) and led to change in management in one patient (1%, 95% C.I. 0.05-6%). Six of the 7 children with seizure had an EEG. The study was normal in 3 and findings in the other 2 did not suggest/predict further seizures during the admission. CONCLUSIONS: Children with first CFSs are at low risk for seizure recurrence during admission. Multiple seizures at presentation are associated with risk of early recurrence and may warrant an admission. EEG had limited effect on acute management and should not be an indication for admission.

Validating a Clinical Prediction Rule for Ventricular Shunt Malfunction.

OBJECTIVE: This study aims to validate a published ventricular shunt clinical prediction rule for the identification of children at low risk for ventricular shunt malfunction based on the absence of 3 high-risk clinical predictors (irritability, nausea or vomiting, and headache). METHODS: We identified children aged 21 years and younger with a ventricular shunt who presented between 2010 and 2013 to a single pediatric emergency department (ED) for evaluation of potential shunt malfunction. We defined a ventricular shunt malfunction as obstruction to cerebrospinal fluid flow requiring operative neurosurgical intervention within 72 hours of initial ED evaluation. We applied this ventricular shunt clinical prediction rule to the study population and report the test characteristics. RESULTS: We identified 755 ED visits for 294 children with potential ventricular shunt malfunction. Of these encounters, 146 (19%; 95% confidence interval [CI], 17%-22%) had a ventricular shunt malfunction. The ventricular shunt clinical prediction rule had a sensitivity of 99% (95% CI, 94%-100%), specificity of 7% (95% CI, 5%-9%), and negative predictive value of 95% (95% CI, 82%-99%). Two children with a ventricular shunt malfunction were misclassified as low risk by this clinical prediction rule. CONCLUSIONS: Ventricular shunt malfunctions were common. Although children classified as low risk by the ventricular shunt clinical prediction rule were less likely to have a shunt malfunction, routine neuroimaging may still be required because exclusion of ventricular shunt malfunction may be difficult on clinical grounds alone.

Epidemiology and Predictors of Orbital Fractures in Children.

OBJECTIVES: Data regarding clinical predictors of orbital fractures in children are limited. We sought to describe the epidemiology of pediatric orbital fractures and identify the signs and symptoms of orbital fractures in children. METHODS: We performed a retrospective cohort study of children younger than 22 years who underwent a facial or orbital computed tomography (CT) scan to evaluate for orbital fracture. We included patients presenting to an emergency department of a tertiary care children's hospital between January 2009 and May 2013. The presence of an orbital fracture was assessed using the final interpretation of the CT by an attending radiologist in the electronic medical record. RESULTS: Among 326 children who underwent facial or orbital CT during the study period, 133 (41%) had an orbital fracture. The presence of nausea or vomiting, orbital tenderness, swelling, or ecchymosis and limitation of extraocular movement were each associated with the presence of an orbital fracture (P < 0.05 for each). Twenty-two children (6.7% of cohort and 16.5% of children with orbital fractures) underwent surgical repair for an orbital fracture. In the absence of orbital tenderness, swelling, or ecchymosis, there was 1 child with an orbital fracture who underwent operative intervention. CONCLUSIONS: Fewer than half of children undergoing CT have an orbital fracture identified, and fewer than 7% have a fracture that requires operative intervention. In the absence of orbital tenderness, swelling, or ecchymosis, only 1 child had an orbital fracture requiring surgical repair.