Revista médica de Chile
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Revista médica de Chile · Feb 2021
[Comparison of different methods to estimate glomerular filtration rate in older adults].
Glomerular filtration rate (GFR) estimation in older adults using a creatinine clearance/24-hour (CrCl) or an equation based on serum creatinine, are often considered equivalent by clinicians. ⋯ The practice of considering equivalent the GFR estimation using the creatinine-based equations with measured creatinine clearance in older adults should be reconsidered, because their results differ markedly.
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Revista médica de Chile · Feb 2021
[Calorie and macronutrient intake during the first six months after bariatric surgery].
Bariatric surgery (BS) is the most effective procedure in the management of obesity, achieving a significant decrease in energy intake. ⋯ Patients subjected to BS had a low calorie and macronutrient intake in the first six postoperative months. Their calorie intake is negatively associated with weight loss, mainly during the first postoperative month.
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Even though the mechanisms that mediate essential hypertension (HT) are not fully understood, an immunological-inflammatory mechanism could be the common pathway for diverse pathophysiological mechanisms. We analyze in a simplified way the participation of the immune system in HT. T lymphocytes (TL) and antigen presenting cells (APCs) are components of the immune system capable of generating proinflammatory cytokines. ⋯ Additionally, a immunomodulation decrease by regulatory TL, worsens endothelial dysfunction and reduces vasodilation in experimental HT. Results of recent studies indicate that lymphocyte activation would be mediated by antigens captured by antigen APCs for subsequent presentation to "naive" TL. On the other hand, proinflammatory states such as obesity, the change of the intestinal microbiota and the increase in salt intake favors TL and APC activation, contributing to HT development.
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Revista médica de Chile · Feb 2021
[Overview of machine learning and its application in the management of emergency services].
The processes associated with health care generate a large amount of information that is difficult to analyze using standard statistical procedures. In this context, disciplines such as Data Science became relevant, mainly through strategies such as Machine Learning (ML). The latter groups a series of tools whose purpose is to develop algorithms to extract information from data, whether for explanation, classification, or prediction. ⋯ Also, there are difficulties in understanding these types of studies. This work tries to offer a nontechnical overview of the ML concept and its advantages for health care management. It collects examples of ML applications in emergency department management.