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1.
Semin Pediatr Neurol ; 50: 101135, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38964810

ABSTRACT

Child abuse is a major cause of morbidity and mortality in the United States. The leading cause of child physical abuse related deaths is abusive head trauma, formerly known as shaken baby syndrome, making the rapid identification and assessment of these children critical. The clinical presentation of cases of abusive head trauma ranges from neurological complaints, such as seizures, to vague or subtle symptoms, such as vomiting. This results in frequent missed diagnoses of abusive head trauma. The identification of abusive head trauma relies on a thorough medical history and physical examination, followed by lab evaluation and imaging. The goal of the evaluation is to discover further injury and identify possible underlying non-traumatic etiologies of the patient's symptoms. In this article we present a framework for the assessment of abusive head trauma and provide information on common presentations and injuries, as well as differential diagnoses. A strong foundational knowledge of abusive head trauma will lead to greater recognition and improved safety planning for victims of this unfortunate diagnosis.


Subject(s)
Child Abuse , Craniocerebral Trauma , Humans , Child Abuse/diagnosis , Craniocerebral Trauma/diagnosis , Infant , Diagnosis, Differential , Shaken Baby Syndrome/diagnosis
2.
Pediatr Rev ; 44(7): 415-418, 2023 07 01.
Article in English | MEDLINE | ID: mdl-37391631

Subject(s)
Leg , Pain , Male , Humans , Child , Pain/etiology
3.
J Med Internet Res ; 24(1): e29595, 2022 01 27.
Article in English | MEDLINE | ID: mdl-35084336

ABSTRACT

BACKGROUND: One-third of the US population experiences sleep loss, with the potential to impair physical and cognitive performance, reduce productivity, and imperil safety during work and daily activities. Computer-based fatigue-management systems with the ability to predict the effects of sleep schedules on alertness and identify safe and effective caffeine interventions that maximize its stimulating benefits could help mitigate cognitive impairment due to limited sleep. To provide these capabilities to broad communities, we previously released 2B-Alert Web, a publicly available tool for predicting the average alertness level of a group of individuals as a function of time of day, sleep history, and caffeine consumption. OBJECTIVE: In this study, we aim to enhance the capability of the 2B-Alert Web tool by providing the means for it to automatically recommend safe and effective caffeine interventions (time and dose) that lead to optimal alertness levels at user-specified times under any sleep-loss condition. METHODS: We incorporated a recently developed caffeine-optimization algorithm into the predictive models of the original 2B-Alert Web tool, allowing the system to search for and identify viable caffeine interventions that result in user-specified alertness levels at desired times of the day. To assess the potential benefits of this new capability, we simulated four sleep-deprivation conditions (sustained operations, restricted sleep with morning or evening shift, and night shift with daytime sleep) and compared the alertness levels resulting from the algorithm's recommendations with those based on the US Army caffeine-countermeasure guidelines. In addition, we enhanced the usability of the tool by adopting a drag-and-drop graphical interface for the creation of sleep and caffeine schedules. RESULTS: For the 4 simulated conditions, the 2B-Alert Web-proposed interventions increased mean alertness by 36% to 94% and decreased peak alertness impairment by 31% to 71% while using equivalent or smaller doses of caffeine as the corresponding US Army guidelines. CONCLUSIONS: The enhanced capability of this evidence-based, publicly available tool increases the efficiency by which diverse communities of users can identify safe and effective caffeine interventions to mitigate the effects of sleep loss in the design of research studies and work and rest schedules.


Subject(s)
Caffeine , Social Media , Attention , Caffeine/pharmacology , Humans , Psychomotor Performance , Sleep , Wakefulness
4.
J Pediatr Surg Case Rep ; 73: 101988, 2021 Oct.
Article in English | MEDLINE | ID: mdl-34430199

ABSTRACT

A 2 month old, full term, previously healthy male, with known COVID-19 infection 3 weeks prior to arrival presented to the Emergency Department (ED) with complaints of 5-6 episodes of non-bilious and non-bloody emesis. According to the child's parents, the emesis was mostly associated with feeding. His parents endorsed that the patient had one episode of diarrhea that was maroon in color and appeared different than typical stools. Abdominal exam at that time was non distended with no tenderness and no other significant findings. The patient was observed while feeding in the ED and was noted to have some minimal spit up with arching of his back. A presumptive diagnosis of reflux was made, and the patient was discharged home with education on feeding. The infant was brought back to the ED the following day due to worsening emesis. Additionally, his parents noted more episodes of bloody stools. His abdomen appeared mildly distended with moderate tenderness on abdominal examination. During evaluation, a large "currant jelly" stool was observed (Fig. 1). An abdominal ultrasound was obtained, which demonstrated an ileocolic intussusception with a possible enlarged lymph node as lead point. The patient received an air contrast enema with successful reduction. Repeat ultrasound was obtained which confirmed resolution, and the patient was admitted for overnight observation. The patient tested positive for SARS-CoV-2 using polymerase chain reaction testing. He was discharged the following day after successful advancing of diet, normal serial abdominal exams, and observed normal bowel movements.

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