A Not-So-Sweet Syndrome: A Case Report of a Male Presenting With Acute Febrile Neutrophilic Dermatosis.

Physicians often encounter patients who present with a chief complaint of skin changes or lesions in both acute and primary care settings. Early initiation of appropriate treatment and pharmacotherapy in patients who present with rash is crucial to prevent decompensation, morbidity, and further downstream utilization of hospital resources. Acute febrile neutrophilic dermatosis, more commonly known as Sweet syndrome, is a rare and highly symptomatic inflammatory skin condition. Early recognition of Sweet syndrome is important as it requires specific treatment considerations and often can be a sign of an underlying pro-inflammatory condition, malignancy, or reaction to new medication that must be identified. This article discusses the presentation and management of a 50-year-old male who presented with a classic presentation of Sweet syndrome.

Correction: A Not-So-Sweet Syndrome: A Case Report of a Male Presenting With Acute Febrile Neutrophilic Dermatosis.

[This corrects the article DOI: 10.7759/cureus.48810.].

Elevated Axonal Protein Markers Following Repetitive Blast Exposure in Military Personnel.

Blast exposures that occur during training are common in military personnel; however, the biomarkers that relate to these subtle injuries is not well understood. Therefore, the purpose of this study is to identify the acute biomarkers related to blast injury in a cohort of military personnel exposure to blast-related training. Thirty-four military personnel who participated in the training program were included in this study. Blood samples were collected before and after repetitive blast-related training on days 2 (n = 19) and days 7 (n = 15). Serum concentration (pg/mL) of tau, glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and phosphorylated tau181 (p-tau181) were measured using an ultrasensitive immunoassay platform. We observed that serum p-tau181 concentrations were elevated after exposed to repetitive blast on days 2 (z = -2.983, p = 0.003) and days 7 (z = -2.158, p = 0.031). Serum tau (z = -2.272, p = 0.023) and NfL (z = -2.158, p = 0.031) levels were significantly elevated after exposure to repetitive blasts on days 7. Our findings indicate that blast exposure affects serum biomarkers indicating axonal injury.

Incidence of Emergency Department Visits for Electric Rental Scooters Using Detailed Ridership Data.

INTRODUCTION: Electric scooter (e-scooter) rental usage has increased exponentially around the country, expanding to more than 120 cities by the end of 2018. Early attempts to capture the safety effects of widespread adoption of this technology have been hampered by lack of accurate ridership data. Here we describe a 17-month evolution of ridership characteristics in St. Louis, Missouri, and the frequency of e-scooter rental-related injuries serious enough to require an emergency department (ED) visit over this time frame; we also provide estimates of incidence rates of injuries based on company ridership data. METHODS: We performed a combination retrospective chart review and prospective questionnaire-based analysis of adult e-scooter rental-related ED visits in both downtown St. Louis Level 1 trauma centers during the first 17 months of e-scooter rental usage (August 2018-December 2019). The retrospective portion focused on demographics, alcohol use, helmet use, disposition, operative repair, and temporal and severity markers. The prospective portion focused on more detailed crash and rider data. Finally, we used ridership data from both e-scooter rental companies in St. Louis to estimate incidence and temporal trends. RESULTS: A total of 221 patients had e-scooter rental-related ED visits. The median age of our population was 31 years with 58.8% male and 53.8% White. There were no deaths. Ninety-two patients were found to have fractures with 38% requiring surgery. Of the 21 patients diagnosed with head injury, five had an intracranial bleed. Overall incidence of ED visits related to e-scooters was 2.1 per 10,000 trips and 2.2 per 10,000 miles with the number of ED visits by month closely correlated with the number of rides per month (Pearson correlation coefficient = 0.95). CONCLUSION: The number of e-scooter rental-related injuries seen in St. Louis trauma centers was relatively low and correlated closely with overall number of rides. The number of injuries decreased and were less severe from 2018 to 2019 with infrequent intracranial injuries and a large percentage of fractures requiring operative repair.

Triage of Mild Head-Injured Intoxicated Patients Could Be Aided by Use of an Electroencephalogram-Based Biomarker.

OBJECTIVE: Drug and alcohol (DA)-related emergency department (ED) visits represent an increasing fraction the head-injured population seen in the ED. Such patients present a challenge to the evaluation of head injury and determination of need for computed tomographic (CT) scan and further clinical path. This effort examined whether an electroencephalogram (EEG)-based biomarker could aid in reducing unnecessary CT scans in the intoxicated ED population. METHOD: This is a retrospective secondary study of an independent prospective US Food and Drug Administration validation trial that demonstrated the efficacy of (1) an automatic Structural Injury Classifier for the likelihood of injury visible on a CT (CT+) and (2) an EEG-based Brain Function Index to assess functional impairment in minimally impaired, head-injured adults presenting within 3 days of injury. Impact on the biomarker performance in patients who presented with or without DA was studied. RESULTS: Structural Injury Classifier sensitivity was not significantly impacted by the presence of DA. Although specificity decreased, it remained several times higher than obtained using standard CT decision rules. Furthermore, the potential to reduce the number of unnecessary scans by approximately 30% was demonstrated when the Structural Injury Classifier was integrated into CT clinical triage. The Brain Function Index was demonstrated to be independent of the presence of DA. CONCLUSION: This EEG-based assessment technology used to identify the likelihood of structural or functional brain injury in mildly head-injured patients represents an objective way to aid in triage patients with DA on presentation, with the potential to decrease overscanning while not sacrificing sensitivity to injuries visible on CT.

Emergency Department Time Course for Mild Traumatic Brain Injury Workup.

INTRODUCTION: Mild traumatic brain injury (mTBI) is a common cause for visits to the emergency department (ED). The actual time required for an ED workup of a patient with mTBI in the United States is not well known. National emergency medicine organizations have recommended reducing unnecessary testing, including head computed tomography (CT) for these patients.10. METHODS: To examine this issue, we developed a care map that included each step of evaluation of mTBI (Glasgow Coma Scale Score 13-15) - from initial presentation to the ED to discharge. Time spent at each step was estimated by a panel of United States emergency physicians and nurses. We subsequently validated time estimates using retrospectively collected, real-time data at two EDs. Length of stay (LOS) time differences between admission and discharged patients were calculated for patients being evaluated for mTBI. RESULTS: Evaluation for mTBI was estimated at 401 minutes (6.6 hours) in EDs. Time related to head CT comprised about one-half of the total LOS. Real-time data from two sites corroborated the estimate of median time difference between ED admission and discharge, at 6.3 hours for mTBI. CONCLUSION: Limiting use of head CT as part of the workup of mTBI to more serious cases may reduce time spent in the ED and potentially improve overall ED throughput.

Intracranial Pathology (CT+) in Emergency Department Patients With High GCS and High Standard Assessment of Concussion (SAC) Scores.

OBJECTIVE: To demonstrate that a subpopulation of patients with mild/moderate traumatic brain injury (TBI) had intracranial pathology despite having a Glasgow Coma Scale (GCS) score of 15 and a Standardized Assessment of Concussion (SAC) score of 25 or higher. SETTING: A network of 11 US emergency departments (ED) enrolling patients in a multisite study of TBI. PARTICIPANTS: Men and women between the ages of 18 and 85 years admitted to a participating ED having sustained a closed head injury within the prior 72 hours and a GCS score of 13 to 15 at the time of enrollment. DESIGN: Prospective observational study. MAIN MEASURES: GCS, SAC, computed tomography (CT) positive or negative for intracranial pathology, Marshall scoring of CT scans. RESULTS: Of 191 patients with intracranial pathology (CT+) and having a SAC score recorded, 24% (46/191) had a SAC score in the normal range (≥25) as well as a GCS score of 15. All causes of CT+ brain injury were present in both SAC groups. CONCLUSION: A normal GCS score and a SAC score do not exclude the possibility of significant intracranial injury.

A Brain Electrical Activity Electroencephalographic-Based Biomarker of Functional Impairment in Traumatic Brain Injury: A Multi-Site Validation Trial.

The potential clinical utility of a novel quantitative electroencephalographic (EEG)-based Brain Function Index (BFI) as a measure of the presence and severity of functional brain injury was studied as part of an independent prospective validation trial. The BFI was derived using quantitative EEG (QEEG) features associated with functional brain impairment reflecting current consensus on the physiology of concussive injury. Seven hundred and twenty adult patients (18-85 years of age) evaluated within 72 h of sustaining a closed head injury were enrolled at 11 U.S. emergency departments (EDs). Glasgow Coma Scale (GCS) score was 15 in 97%. Standard clinical evaluations were conducted and 5 to 10 min of EEG acquired from frontal locations. Clinical utility of the BFI was assessed for raw scores and percentile values. A multinomial logistic regression analysis demonstrated that the odds ratios (computed against controls) of the mild and moderate functionally impaired groups were significantly different from the odds ratio of the computed tomography (CT) postive (CT+, structural injury visible on CT) group (p = 0.0009 and p = 0.0026, respectively). However, no significant differences were observed between the odds ratios of the mild and moderately functionally impaired groups. Analysis of variance (ANOVA) demonstrated significant differences in BFI among normal (16.8%), mild TBI (mTBI)/concussed with mild or moderate functional impairment, (61.3%), and CT+ (21.9%) patients (p < 0.0001). Regression slopes of the odds ratios for likelihood of group membership suggest a relationship between the BFI and severity of impairment. Findings support the BFI as a quantitative marker of brain function impairment, which scaled with severity of functional impairment in mTBI patients. When integrated into the clinical assessment, the BFI has the potential to aid in early diagnosis and thereby potential to impact the sequelae of TBI by providing an objective marker that is available at the point of care, hand-held, non-invasive, and rapid to obtain.

Emergency Department Triage of Traumatic Head Injury Using a Brain Electrical Activity Biomarker: A Multisite Prospective Observational Validation Trial.

OBJECTIVES: A brain electrical activity biomarker for identifying traumatic brain injury (TBI) in emergency department (ED) patients presenting with high Glasgow Coma Scale (GCS) after sustaining a head injury has shown promise for objective, rapid triage. The main objective of this study was to prospectively evaluate the efficacy of an automated classification algorithm to determine the likelihood of being computed tomography (CT) positive, in high-functioning TBI patients in the acute state. METHODS: Adult patients admitted to the ED for evaluation within 72 hours of sustaining a closed head injury with GCS 12 to 15 were candidates for study. A total of 720 patients (18-85 years) meeting inclusion/exclusion criteria were enrolled in this observational, prospective validation trial, at 11 U.S. EDs. GCS was 15 in 97%, with the first and third quartiles being 15 (interquartile range = 0) in the study population at the time of the evaluation. Standard clinical evaluations were conducted and 5 to 10 minutes of electroencephalogram (EEG) was acquired from frontal and frontal-temporal scalp locations. Using an a priori derived EEG-based classification algorithm developed on an independent population and applied to this validation population prospectively, the likelihood of each subject being CT+ was determined, and performance metrics were computed relative to adjudicated CT findings. RESULTS: Sensitivity of the binary classifier (likely CT+ or CT-) was 92.3% (95% confidence interval [CI] = 87.8%-95.5%) for detection of any intracranial injury visible on CT (CT+), with specificity of 51.6% (95% CI = 48.1%-55.1%) and negative predictive value (NPV) of 96.0% (95% CI = 93.2%-97.9%). Using ternary classification (likely CT+, equivocal, likely CT-) demonstrated enhanced sensitivity to traumatic hematomas (≥1 mL of blood), 98.6% (95% CI = 92.6%-100.0%), and NPV of 98.2% (95% CI = 95.5%-99.5%). CONCLUSION: Using an EEG-based biomarker high accuracy of predicting the likelihood of being CT+ was obtained, with high NPV and sensitivity to any traumatic bleeding and to hematomas. Specificity was significantly higher than standard CT decision rules. The short time to acquire results and the ease of use in the ED environment suggests that EEG-based classifier algorithms have potential to impact triage and clinical management of head-injured patients.

Identification of hematomas in mild traumatic brain injury using an index of quantitative brain electrical activity.

Rapid identification of traumatic intracranial hematomas following closed head injury represents a significant health care need because of the potentially life-threatening risk they present. This study demonstrates the clinical utility of an index of brain electrical activity used to identify intracranial hematomas in traumatic brain injury (TBI) presenting to the emergency department (ED). Brain electrical activity was recorded from a limited montage located on the forehead of 394 closed head injured patients who were referred for CT scans as part of their standard ED assessment. A total of 116 of these patients were found to be CT positive (CT+), of which 46 patients with traumatic intracranial hematomas (CT+) were identified for study. A total of 278 patients were found to be CT negative (CT-) and were used as controls. CT scans were subjected to quantitative measurements of volume of blood and distance of bleed from recording electrodes by blinded independent experts, implementing a validated method for hematoma measurement. Using an algorithm based on brain electrical activity developed on a large independent cohort of TBI patients and controls (TBI-Index), patients were classified as either positive or negative for structural brain injury. Sensitivity to hematomas was found to be 95.7% (95% CI = 85.2, 99.5), specificity was 43.9% (95% CI = 38.0, 49.9). There was no significant relationship between the TBI-Index and distance of the bleed from recording sites (F = 0.044, p = 0.833), or volume of blood measured F = 0.179, p = 0.674). Results of this study are a validation and extension of previously published retrospective findings in an independent population, and provide evidence that a TBI-Index for structural brain injury is a highly sensitive measure for the detection of potentially life-threatening traumatic intracranial hematomas, and could contribute to the rapid, quantitative evaluation and treatment of such patients.

CT positive brain injury in mild TBI patients presenting with normal SAC scores.

INTRODUCTION: Traumatic brain injury accounts for over 1 million U.S. emergency department visits annually. A significant percentage of patients undergo CT scans to exclude intracranial bleeds. The Standardized Assessment of Concussion (SAC) is designed to rapidly determine whether a concussion has occurred, (0-30 scale, where ≥25 is considered normal). Although not intended to be used in isolation, results in the normal range are considered an indication of low suspicion of brain injury. This study evaluated the relationship between CT findings of structural injury (CT+) and performance on the SAC. METHODS: We performed a prospective observational study on mild head-injured patients presenting to the emergency department who underwent CT scans and had SAC evaluations. RESULTS: We enrolled 368 patients, of which 66 were read by a neuroradiologist as positive (CT+), with an average age of 46.7, and an average Glasgow Coma Scale of 14.85. 38.2% of these CT+ patients had a SAC score ≥25. There were no significant differences between time of injury and CT scan or SAC for those with high or low SAC scores. Both high and low SAC groups contained similar CT+ abnormalities (e.g., hematomas). CONCLUSIONS: These results indicate that a normal SAC score alone does not exclude intracranial injury.

Classification algorithms for the identification of structural injury in TBI using brain electrical activity.

BACKGROUND: There is an urgent need for objective criteria adjunctive to standard clinical assessment of acute Traumatic Brain Injury (TBI). Details of the development of a quantitative index to identify structural brain injury based on brain electrical activity will be described. METHODS: Acute closed head injured and normal patients (n=1470) were recruited from 16 US Emergency Departments and evaluated using brain electrical activity (EEG) recorded from forehead electrodes. Patients had high GCS (median=15), and most presented with low suspicion of brain injury. Patients were divided into a CT positive (CT+) group and a group with CT negative findings or where CT scans were not ordered according to standard assessment (CT-/CT_NR). Three different classifier methodologies, Ensemble Harmony, Least Absolute Shrinkage and Selection Operator (LASSO), and Genetic Algorithm (GA), were utilized. RESULTS: Similar performance accuracy was obtained for all three methodologies with an average sensitivity/specificity of 97.5%/59.5%, area under the curves (AUC) of 0.90 and average Negative Predictive Validity (NPV)>99%. Sensitivity was highest for CT+ cases with potentially life threatening hematomas, where two of three classifiers were 100%. CONCLUSION: Similar performance of these classifiers suggests that the optimal separation of the populations was obtained given the overlap of the underlying distributions of features of brain activity. High sensitivity to CT+ injuries (highest in hematomas) and specificity significantly higher than that obtained using ED guidelines for imaging, supports the enhanced clinical utility of this technology and suggests the potential role in the objective, rapid and more optimal triage of TBI patients.

Use of brain electrical activity for the identification of hematomas in mild traumatic brain injury.

This study investigates the potential clinical utility in the emergency department (ED) of an index of brain electrical activity to identify intracranial hematomas. The relationship between this index and depth, size, and type of hematoma was explored. Ten minutes of brain electrical activity was recorded from a limited montage in 38 adult patients with traumatic hematomas (CT scan positive) and 38 mild head injured controls (CT scan negative) in the ED. The volume of blood and distance from recording electrodes were measured by blinded independent experts. Brain electrical activity data were submitted to a classification algorithm independently developed traumatic brain injury (TBI) index to identify the probability of a CT+traumatic event. There was no significant relationship between the TBI-Index and type of hematoma, or distance of the bleed from recording sites. A significant correlation was found between TBI-Index and blood volume. The sensitivity to hematomas was 100%, positive predictive value was 74.5%, and positive likelihood ratio was 2.92. The TBI-Index, derived from brain electrical activity, demonstrates high accuracy for identification of traumatic hematomas. Further, this was not influenced by distance of the bleed from the recording electrodes, blood volume, or type of hematoma. Distance and volume limitations noted with other methods, (such as that based on near-infrared spectroscopy) were not found, thus suggesting the TBI-Index to be a potentially important adjunct to acute assessment of head injury. Because of the life-threatening risk of undetected hematomas (false negatives), specificity was permitted to be lower, 66%, in exchange for extremely high sensitivity.

Cervical spine motion during extrication.

BACKGROUND: It has been estimated that up to one-quarter of spinal cord injuries may be significantly worsened during extrication or early treatment after a motor vehicle accident. STUDY OBJECTIVES: The purpose of this study was to analyze the planar motions of the head relative to the torso during extrication from an automobile in a laboratory setting. METHODS: Video motion capture was used to quantify the range of motion of the head relative to the torso in 10 participants as they were extricated from a mock motor vehicle during four different extrication techniques: 1) Unassisted Unprotected, 2) Unassisted Protected with a cervical collar (CC), 3) Assisted and Protected with a CC, and 4) Assisted and Protected with a CC and Kendrick Extrication Device. RESULTS: The results indicated a significant decrease in movement for all motions when the driver exited the vehicle unassisted with CC protection, compared to exiting unassisted and without protection. Decreases in movement were also observed for an event (i.e., Pivot in seat) during extrication with paramedic assistance and protection. However, no movement reduction was observed in another event (i.e., Recline on board) with both paramedic assistance and protection. CONCLUSION: In this study, no decrease in neck movement occurred for certain extrication events that included protection and assistance by the paramedics. Future work should further investigate this finding.

Incidence of hypoglycemia following insulin-based acute stabilization of hyperkalemia treatment.

PURPOSE: The aim of this study was to assess the incidence of hypoglycemia in hospitalized patients following acute treatment of hyperkalemia with insulin. A characterization of the affected patients and the administered insulin/dextrose regimens was also performed. METHODS: A retrospective search of the electronic records of a large university-based tertiary care hospital was conducted, from June 1, 2009 to December 1, 2009, to identify patients who developed hypoglycemia following acute stabilization of hyperkalemia treatment with regular insulin. RESULTS: Of 219 hyperkalemic patients who met the criteria of the study, 19 patients (8.7%) were identified ashypoglycemic (blood glucose <70 mg/dl), and 5 of these patients (2.3% of study patients) were classified as severely hypoglycemic (blood glucose <40 mg/dl). Fifteen (79%) of the hypoglycemic patients had acute kidney injury or were end-stage renal disease patients on hemodialysis at the time of treatment. Fifty-eight percent of the hypoglycemic events occurred following the commonly employed 10 units of regular insulin and 25 gm of dextrose 50% treatment regimen. CONCLUSION: Iatrogenic hypoglycemia, as a result of treatment for hyperkalemia, is a common occurrence. Hyperkalemia occurs disproportionately in patients with acute kidney injury or end-stage renal disease, and these patients are predisposed to an increased risk of hypoglycemia. The risk of severe hypoglycemia escalates inpatients with lower body weight and creatinine clearance.Hypoglycemia risk can be minimized by providing sufficient dextrose in the treatment regimen, however, patient variability in treatment response dictates careful blood glucose monitoring before and after treatment.

The technical errors of physicians learning to perform focused assessment with sonography in trauma.

OBJECTIVES: The objective was to assess the incidence of various technical errors committed by emergency physicians (EPs) learning to perform focused assessment with sonography in trauma (FAST). METHODS: This was a retrospective review of the first 75 consecutive FAST exams for each EP from April 2000 to June 2005. Exams were assessed for noninterpretable views, misinterpretation of images, poor gain, suboptimal depth, an incomplete exam, or backward image orientation. RESULTS: A total of 2,223 FAST exams done by 85 EPs were reviewed. Multiple noninterpretable views or misinterpreted images occurred in 24% of exams for those performing their first 10 exams, 3.6% for those performing their 41st to 50th exams, and 0% for those performing their 71st to 75th exams (Cochran-Armitage trend test = 10.5, p < 0.0001). A single noninterpretable view, poor gain, suboptimal depth, incomplete exam, or backward image orientation occurred in 48% of exams for those performing their first 10 exams, 17% for those performing their 41st to 50th exams, and 5% for those performing their 71st to 75th exams (Cochran-Armitage trend test = 11.6, p < 0.0001). CONCLUSIONS: The incidence of specific technical errors of EPs learning to perform FAST at our institution improved with hands-on experience. Interpretive skills improved more rapidly than image acquisition skills.

Sonographic assessment of jugular venous distension and B-type natriuretic peptide levels in patients with dyspnoea.

BACKGROUND: Sonographic assessment of jugular venous distension (US-JVD) has been described as a sensitive test for pulmonary oedema on chest x-ray in patients with dyspnoea, but chest x-ray may not detect all patients with raised B-type natriuretic peptide (BNP) levels. OBJECTIVE: To compare US-JVD and initial BNP levels in patients with dyspnoea. METHODS: This was a secondary analysis of a previously collected dataset from a prospective study of US-JVD in patients with dyspnoea due to suspected congestive cardiac failure. Initial BNP levels were obtained for each patient. The sensitivity, specificity, positive and negative predictive values (PPV and NPV), and likelihood ratios (LR) of US-JVD ≥8 cm H(2)O for BNP ≥500 pg/ml were calculated. The product moment correlation coefficient between US-JVD and BNP was also calculated. RESULTS: 119 patients were included in the initial study. US-JVD ≥8 cm H(2)O had a sensitivity of 100% (95% CI 92% to 100%), specificity of 43% (95% CI 31% to 56%), PPV of 61% (95% CI 50% to 71%), NPV of 100% (95% CI 84% to 100%), LR+=1.75 (95% CI 1.41 to 2.17), and LR-=0 for a BNP ≥ 500 pg/ml. The Pearson correlation coefficient between US-JVD and BNP was 0.35 (95% CI 0.18 to 0.50) and the Spearman correlation coefficient was 0.73 (95% CI 0.63 to 0.80), suggesting a monotonic, but non-linear relationship between US-JVD and BNP. CONCLUSION: US-JVD correlates with initial BNP levels and is a sensitive test for raised BNP levels in patients with dyspnoea due to suspected congestive cardiac failure.