The American journal of emergency medicine
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Comment Letter
The differential diagnosis of ischemic mitral regurgitation.
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Topic identification can facilitate knowledge curation, discover thematic relationships, trends, and predict future direction. We aimed to determine through an unsupervised, machine learning approach to topic modeling the most common research themes in emergency medicine over the last 40 years and summarize their trends and characteristics. ⋯ Topic modeling via unsupervised machine learning applied to emergency medicine abstracts discovered coherent topics, trends, and patterns of interaction.
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Sepsis is a systemic inflammatory response syndrome with high mortality. There is an upward trend in sepsis prevalence and mortality worldwide. Early and accurate prediction of outcome in sepsis is important. There remains a great need to improve a reliable prognostic model for sepsis patients with widely available variables. The aim of this study was to explore the correlation between serum thyroid hormone levels and prognosis in sepsis patients. ⋯ Low serum thyroxin levels can be a predictive marker of short-term outcome after sepsis. A combined model (fT4, T4 and SAPSII score) can add significant additional predictive information to the clinical score of the SAPSII.