Peripheral edema is a prevalent condition affecting patients dealing with an assortment of health conditions, such as congestive heart failure (CHF), liver disease, venous insufficiency, and postoperative surgical complications. Edema can present in a variety of ways, ranging from mild localized symptoms to severely debilitating forms that impact patients' daily lives. Despite the vast number of publications addressing the underlying causes of peripheral edema, there seems to be an absence of literature that presents the effectiveness and compliance of current management techniques. This paper aims to condense the current literature on the effectiveness and compliance of current edema management approaches across various common etiologies, with the intention of identifying alternative therapies that could enhance the quality of care for patients with chronic lower extremity edema. Several promising new therapies such as exogenous calf muscle stimulation, leg raise exercises, high-dose albumin injections, and device-based negative pressure lymph drainage (NPLD), deviate from the current established standard of care. This scoping review revealed diverse treatment methods tailored to the specific underlying etiology of edema. The use of diuretics and vasodilators has shown benefits in treating CHF-induced edema but failed to alleviate and prevent the recurrence of edema in hospitalized and recently discharged patients. Albumin injections have emerged as a potential alternative treatment for edema due to liver disease, addressing hypoalbuminemia symptoms caused by liver failure. Patients with vascular causes of edema are efficaciously treated conservatively with compression stockings, although patient adherence remains a hurdle. For postoperative edema, device-based NPLD appears promising, with potential benefits over elastic bandage wraps and kinesiology taping.
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http://dx.doi.org/10.7759/cureus.63840 | DOI Listing |
Sci Rep
December 2024
Laboratorio de Pesquisa em Cirurgia Toracica, Departamento de Cardiopneumologia, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
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Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
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Division of Plastic Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
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Faculty of Health Sciences, Division of Physiotherapy and Rehabilitation, Istanbul Okan University, Istanbul, Turkey.
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Medical Faculty, Ophthalmology Department, University of Health Sciences, Istanbul, Türkiye.
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