The American journal of medicine
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As the prevalence of obesity rises in the United States, so does the incidence of obesity-related kidney disease. Obesity itself is an independent risk factor for chronic kidney disease where the pathophysiology is complex, involving altered hemodynamics, renin-angiotensin-aldosterone system overactivation, and adipokines leading to inflammation and fibrosis. Obesity-related kidney disease comprises both obesity-related glomerulopathy and fatty kidney disease. ⋯ Whether the renal ectopic fat is a distinct clinical entity or a pathologic mechanism contributing to obesity-related glomerulopathy, the treatment paradigm of weight and proteinuria reduction remains the same. We present the pathophysiology behind obesity-related kidney disease, clinical outcomes, and treatment strategies, which include lifestyle interventions, use of renin-angiotensin-aldosterone system inhibitors, glucagon-like peptide 1 receptor agonists, sodium-glucose co-transporter-2 inhibitors, and bariatric surgery. With old and novel therapeutics, we are attempting to stave off the silent epidemic that obesity-related kidney disease is becoming.
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Machine learning has emerged as a significant tool to augment the medical decision-making process. Studies have steadily accrued detailing algorithms and models designed using machine learning to predict and anticipate pathologic states. The cardiac intensive care unit is an area where anticipation is crucial in the division between life and death. In this paper, we aim to review important studies describing the utility of machine learning algorithms to describe the future of artificial intelligence in the cardiac intensive care unit, especially in regards to the prediction of successful ventilatory weaning, acute respiratory distress syndrome, arrhythmia, and acute kidney injury.
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Persistence of COVID-19 symptoms may follow severe acute respiratory syndrome coronavirus 2 infection. The incidence of long COVID increases with the severity of acute disease, but even mild disease can be associated with sequelae. ⋯ Elevated levels of complement are present in acute COVID-19 patients and may persist at lower levels in long COVID. Evidence supports complement activation, with endotheliopathy-associated disease as the molecular mechanism causing both acute and long COVID.
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Review
Anticoagulation-associated Adverse Drug Events in Hospitalized Patients Across Two Time Periods.
Anticoagulants often cause adverse drug events (ADEs), comprised of medication errors and adverse drug reactions, in patients. Our study objective was to determine the clinical characteristics, types, severity, cause, and outcomes of anticoagulation-associated ADEs from 2015-2020 (a contemporary period following implementation of an electronic health record, infusion device technology, and anticoagulant dosing nomograms) and to compare them with those of a historical period (2004-2009). ⋯ We found that anticoagulation-associated ADEs occurred despite advances in patient safety technologies and practices. Events were common, suggesting marginal improvements in anticoagulant safety over time and ample opportunities for improvement.
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Review
Update in Outpatient General Internal Medicine: Practice-Changing Evidence Published in 2022.
It can be difficult for clinicians to stay updated on practice-changing articles. Synthesis of relevant articles and guideline updates can facilitate staying informed on important new data impacting clinical practice. The titles and abstracts from the 7 general internal medicine outpatient journals with highest impact factors and relevance were reviewed by 8 internal medicine physicians. Coronavirus disease 2019 research was excluded. The New England Journal of Medicine (NEJM), The Lancet, the Journal of the American Medical Association, The British Medical Journal (BMJ), the Annals of Internal Medicine, JAMA Internal Medicine, and Public Library of Science Medicine were reviewed. Additionally, article synopsis collections and databases were reviewed: American College of Physicians Journal Club, NEJM Journal Watch, BMJ Evidence-Based Medicine, McMaster/DynaMed Evidence Alerts, and Cochrane Reviews. A modified Delphi method was used to gain consensus based on clinical relevance to outpatient internal medicine, potential impact on practice, and strength of evidence. Article qualities and importance were debated until consensus was reached. Clusters of articles pertinent to the same topic were considered together. In total, 5 practice-changing articles were included, along with a highlight of key guideline updates.