Articles: pain-clinics.
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Both computed tomography-guided extracranial nongasserian ganglion radiofrequency thermocoagulation (RFT) and percutaneous balloon compression (PBC) have significant clinical efficacy in the treatment of trigeminal neuralgia, but a comparison of the efficacy of the 2 methods for pain in primary multibranch trigeminal neuralgia (TN) has not been studied clinically. ⋯ Radiofrequency thermocoagulation, percutaneous balloon compression, trigeminal neuralgia, extracranial nongasserian ganglion, multibranch pain.
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Case Reports
Corona, Lime, Sun, Rash: A Case Report of Severe Phytophotodermatitis in an Active Duty Soldier.
Dermatological complaints constitute a large portion of patient visits to both emergency departments and military clinics. Proper assessment to separate the benign diagnoses from life-threatening may prove challenging based on seemingly non-specific history and physical examination. Similarly, reflexive specialty consultation may delay treatment and overload the health care system. ⋯ The resulting progression of erythema, edema, pain, and non-pruritic skin lesions presents a unique pattern limited to the area of initial psoralen contact. This uniquely limited pattern coupled with specific historical context provides evidence for diagnosis. We highlight the case of a 24-year- old otherwise healthy female returning from a leisure trip to Mexico with progressive worsening of erythematous bullae limited to her hands and wrists bilaterally, ultimately attributed to phytophotodermatitis from lime wedge exposure in her alcoholic beverages, commonly referred to as "Mexican Beer Hand." Despite the severity of her initial appearance, her symptoms resolved without complication from limited supportive care.
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Chest pain is the second most common reason for adult emergency department presentations. Most patients have low or intermediate risk chest pain, which historically has led to inpatient admission for further evaluation. ⋯ Developing a national framework could be beneficial to provide sites with evidence, possible models, and business cases. Multicentre data analysis could enhance understanding and monitoring of the service.
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Chronic low back pain (cLBP) is a complex with a heterogenous clinical presentation. A better understanding of the factors that contribute to cLBP is needed for accurate diagnosis, optimal treatment, and identification of mechanistic targets for new therapies. The Back Pain Consortium (BACPAC) Research Program provides a unique opportunity in this regard, as it will generate large clinical datasets, including a diverse set of harmonized measurements. The Theoretical Model Working Group was established to guide BACPAC research and to organize new knowledge within a mechanistic framework. This article summarizes the initial work of the Theoretical Model Working Group. It includes a three-stage integration of expert opinion and an umbrella literature review of factors that affect cLBP severity and chronicity. ⋯ This theoretical perspective will evolve over time as BACPAC investigators link empirical results to theory, challenge current ideas of the biopsychosocial model, and use a systems approach to develop tools and algorithms that disentangle the dynamic interactions among cLBP factors.
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Evidence-based treatments for chronic low back pain (cLBP) typically work well in only a fraction of patients, and at present there is little guidance regarding what treatment should be used in which patients. Our central hypothesis is that an interventional response phenotyping study can identify individuals with different underlying mechanisms for their pain who thus respond differentially to evidence-based treatments for cLBP. Thus, we will conduct a randomized controlled Sequential, Multiple Assessment, Randomized Trial (SMART) design study in cLBP with the following three aims. ⋯ In Aim 2, we will show that currently available, clinically derived measures, can predict differential responsiveness to the treatments. In Aim 3, a subset of participants will receive deeper phenotyping (n = 160), to identify new experimental measures that predict differential responsiveness to the treatments, as well as to infer mechanisms of action. Deep phenotyping will include functional neuroimaging, quantitative sensory testing, measures of inflammation, and measures of autonomic tone.