Publications by authors named "Andrew Francis"

Introduction: Catatonia is a neuropsychiatric disorder marked by significant disturbances in motor, cognitive, and affective functioning and that is frequently under-diagnosed. To enhance clinical detection of catatonia, this study aimed to develop a rapid, sensitive Catatonia Quick Screen (CQS) using a reduced set of catatonic signs to facilitate screening in adult and pediatric patients.

Methods: Data were derived from two retrospective cohorts totaling 446 patients (254 adults, 192 children) who screened positive for catatonia using the Bush Francis Catatonia Screening Instrument (BFCSI).

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Article Synopsis
  • - Foreign body ingestion, especially of superabsorbent polymer water beads (like Orbeez), is common in children and can lead to serious issues like bowel obstruction, often requiring surgery for removal.
  • - In a study testing various solutions, water beads placed in gastrografin showed a significant reduction in size compared to those in water or a water-gastrografin mix, indicating that gastrografin helps shrink the beads.
  • - The findings suggest gastrografin could be a non-surgical treatment option for water bead ingestion, but more research is needed to confirm its effectiveness in clinical settings.
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Background: Catatonia is a complex syndrome with prominent psychomotor, cognitive, and affective manifestations. Among the commonly described manifestations of catatonia are mannerisms and stereotypies. Kahlbaum, who coined the term catatonia, described several presentations of mannerisms and stereotypies as complex behaviors in his monograph.

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Introduction: The association between hypothermia, coagulopathy, and acidosis in trauma is well described. Hypothermia mitigation starts in the prehospital setting; however, it is often a secondary focus after other life-saving interventions. The deployed environment further compounds the problem due to prolonged evacuation times in rotary wing aircraft, resource limitations, and competing priorities.

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Introduction: Mortality rates among hypotensive civilian patients requiring emergent laparotomy exceed 40%. Damage control (DCR) principles were incorporated into the military's Clinical Practice Guidelines (CPG) in 2008. We examined combat casualties requiring emergent laparotomy to characterize how mortality rates compare to hypotensive civilian trauma patients.

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Background: Surgical Site Infections (SSI) yield subtle, early signs that are not readily identifiable. This study sought to develop a machine learning algorithm that could identify early SSIs based on thermal images.

Methods: Images were taken of surgical incisions on 193 patients who underwent a variety of surgical procedures.

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Phylogenetic networks are mathematical representations of evolutionary history that are able to capture both tree-like evolutionary processes (speciations) and non-tree-like 'reticulate' processes such as hybridization or horizontal gene transfer. The additional complexity that comes with this capacity, however, makes networks harder to infer from data, and more complicated to work with as mathematical objects. In this paper, we define a new, large class of phylogenetic networks, that we call labellable, and show that they are in bijection with the set of 'expanding covers' of finite sets.

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Introduction: Traumatic pulmonary injuries are common in chest trauma. Persistent air leaks occur in up to 46% of patients depending on injury severity. Prolonged leaks are associated with increased morbidity and cost.

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Introduction: Injuries to the liver and small bowel are common in multiple injuries. While there are currently a variety of accepted damage-control techniques to expeditiously manage such injuries, morbidity and mortality remain high. Pectin polymers have previously been shown to effectively seal visceral organ injuries ex vivo through physiochemical entanglement with the glycocalyx.

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Introduction: The Military Health System (MHS) is tasked with the dual mission of providing medical care to beneficiaries while ensuring medical readiness. MHS provides care through a combination of military treatment facilities (MTF) ("direct care"; DC) & off-base civilian facilities ("purchased care"; PC). Given recent concerns regarding low surgical volume at MTFs, we sought to evaluate COVID's impact on elective and non-elective case volume at MTFs with surgical residencies.

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Background: Untreated catatonia is associated with serious medical complications that can necessitate urgent medical attention. Lorazepam and electroconvulsive therapy (ECT) are effective for catatonia across various psychiatric or medical diagnoses. In rare cases, ECT fails to achieve full response in catatonic symptoms, particularly in patients with chronic catatonia or primary psychotic disorder.

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Article Synopsis
  • Researchers developed and validated machine learning models to identify pediatric trauma patients at high risk of dying in warzones, aiming to improve care in limited-resource settings.
  • Using data from the Department of Defense Trauma Registry (2008-2016), models like random forest (RF) and support vector machine (SVM) were tested against other techniques to find the best predictor of mortality among these patients.
  • The study found that RF outperformed other models in predicting mortality risk, highlighting the potential of advanced machine learning to enhance medical decision-making for critically injured children.
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Electroconvulsive therapy (ECT) is a highly therapeutic and cost-effective treatment for severe and/or treatment-resistant major depression. However, because of the varied clinical practices, there is a great deal of heterogeneity in how ECT is delivered and documented. This represents both an opportunity to study how differences in implementation influence clinical outcomes and a challenge for carrying out coordinated quality improvement and research efforts across multiple ECT centers.

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