There is a strong association between pre-existing psychiatric illness, particularly anxiety and mood spectrum disorders, and TC. Acute exacerbation of psychiatric illness, rapid uptitration or overdose of certain psychotropic agents, and electroconvulsive therapy may trigger TC. Further studies are needed to better evaluate the prognostic significance and long-term management of psychiatric illness in TC.

Individuals create and consume more diverse data about themselves today than any time in history. Sources of this data include wearable devices, images, social media, geo-spatial information and more. A tremendous opportunity rests within cross-modal data analysis that leverages existing domain knowledge methods to understand and guide human health. Especially in chronic diseases, current medical practice uses a combination of sparse hospital based biological metrics (blood tests, expensive imaging, etc.) to understand the evolving health status of an individual. Future health systems must integrate data created at the individual level to better understand health status perpetually, especially in a cybernetic framework. In this work we fuse multiple user created and open source data streams along with established biomedical domain knowledge to give two types of quantitative state estimates of cardiovascular health. First, we use wearable devices to calculate cardiorespiratory fitness (CRF), a known quantitative leading predictor of heart disease which is not routinely collected in clinical settings. Second, we estimate inherent genetic traits, living environmental risks, circadian rhythm, and biological metrics from a diverse dataset. Our experimental results on 24 subjects demonstrate how multi-modal data can provide personalized health insight. Understanding the dynamic nature of health status will pave the way for better health based recommendation engines, better clinical decision making and positive lifestyle changes.

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Objectives: The popularity of mountain biking (MTB) in the United States has risen in recent years. We sought to identify the prevalence and distribution of MTB associated head and neck injuries presenting to emergency departments across the U.S. and identify risk factors for hospital admission in this patient population. Methods: The National Electronic Injury Surveillance System (NEISS) was queried for MTB related injuries of the head and neck from 2009 to 2018, with analysis for incidence, age, gender, anatomic site, and diagnoses. Results: A total of 486 cases were identified, corresponding to an estimated 18 952 head and neck MTB related ED visits. Patients were predominantly male (80.7%) and white (69.8%) with a median age of 35 years (interquartile range, 21-46 years). A majority (88.4%) of patients were released from the ED, but a significant proportion of patients were admitted (9.2%) or transferred (1.2%). The most common facial fractures were facial/not specified (35%), nasal bone (29%), mandible (15%), orbit (12%), and zygomaxillary complex (9%). The greatest predictors of hospital admission/transfer were injury to the mouth or neck and avulsion-type injury ( P < .001). Conclusions: MTB results in a significant number of traumatic head and neck injuries nationwide. Patients are primarily adult, white males. The majority of injuries result in discharge from the ED, however a small amount of these patients experience significant morbidity necessitating hospital admission. Understanding the distribution of MTB head and neck injuries may aid in the clinical evaluation of these patients. Level of Evidence: 4

STEM disciplines are the dominant culture in K-12 education. With its study of organs and diseases that afflict patients’ bodies, Western evidence-based medicine is seen and understood in the modern cultural paradigm as a science and as the practice in which a subject, the doctor, acts on an object; the patient’s body—a dominant culture in the patient’s journey. However, with the continually evolving high-technological and medical knowledge, life-saving therapeutic options are life-changing. They can range from changes in the diet, requiring structural and cultural changes in family life, to changes related to the experiences of learning to live tethered to a machine that is partly inside and partly outside one’s body or with somebody else’s heart. In this article, we show how competing needs to personalize care for the patient as a person forcefully emerge in response to evidence-based medicine’s global cultural dominance. We highlight two fundamental issues emerging in decision-making processes: (1) Framing evidence-based knowledge, uncertainties of the course of the disease and options, and (2) working with different, equally important, and often at odds conceptions of time in the care for the Other. Through the longitudinal analysis of moment-to-moment interactions in high-tech medicine encounters of a patient, his family, and the team caring for them, we show how framing and different conceptions of time emerge as issues, are profoundly interconnected, and are addressed by participants to care for a patient confronting existential decisions.