Irish journal of medical science
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Hyponatremia (serum sodium lower than 135 mmol/L) is the most frequent electrolyte alteration diagnosed in medical practice. It has deleterious clinical effects, being an independent predictor of mortality. Malnutrition encompasses pathological states caused by both nutrients excess and deficiency, being frequently documented in chronic kidney disease patients. In addition, chronic hyponatremia promotes adiposity loss and sarcopenia, while malnutrition can induce hyponatremia. This pathological interaction is mediated by four main mechanisms: altered electrolyte body composition (low sodium, low potassium, low phosphorus, or high-water body content), systemic inflammation (cytokines increase), hormonal mechanisms (renin-angiotensin-aldosterone system activation, vasopressin release), and anorexia (primary or secondary). ⋯ Malnutrition can induce hyponatremia through hydro-electrolytic, hormonal, inflammatory, or nutritional behavior changes; while hyponatremia per se can induce malnutrition, so there is a pathophysiological feedback between both conditions.
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Transgender patients continue to receive suboptimal health care due to transphobia and inadequate trans-competency of health care professionals. Lack of adequate training and exposure may lead to improper bedside manners. ⋯ This paper discusses the causes of iatrophobia in transgender patients and the steps that health care professionals can take to address this phenomenon. The authors believe that health care professionals that pay heed to this paper will greatly improve the competency of their care toward their transgender patients.
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Spinal cord Tumor has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into Bening or malignant has led many re- search teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods. ⋯ A variety of these techniques, Logistic regression, Support Vector Machines (SVMs), Decision Trees (DTs), Random forest classifier(RFs) have been widely applied in cancer research for the development of predictive models, resulting in effective and accurate decision making. Even though it is evident that the use of ML methods can improve our understanding of cancer progression, an appropriate level of validation is needed in order for these methods to be considered in the everyday clinical practice. In this work, we have discussed a predictive model based on various supervised ML techniques.
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Lung cancer is a major cause of death in Western countries, but survival had never been studied in Northern Ireland (NI) on a population basis prior to this study. ⋯ Overall, survival remains poor. The better survival of surgical patients is due, in part, to their superior case-mix profiles. Survival with other therapies is less good suggesting that the criteria for treatment might be relaxed with advantage using a treatment model to aid decision-making.
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Acute abdominal pain in paediatric patients is a common presentation to the Emergency Department (ED). The COVID-19 pandemic had a significant impact on the health care sector leading to a decline in hospital attendance. ⋯ The COVID-19 pandemic had an impact on the presentation, investigations and admission rates of abdominal pain in the ED. Our study highlights the need for increased awareness of severe abdominal pain signs and symptoms in paediatric patients and importance for diagnostic accuracy. Improving patient flow through the ED and having clear guidelines for staff and parents can optimise clinical practice and improve patient outcomes.