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Traumatic limb amputations in polytrauma ICU admissions.

S Afr J Surg

December 2024

Department of Surgical Sciences, Nelson R Mandela School of Clinical Medicine, University of KwaZulu-Natal, South Africa.

Background: KwaZulu-Natal bears a significant trauma burden, with polytrauma patients often experiencing traumatic limb amputations. This study investigates traumatic limb amputations in the subgroup of severely injured polytrauma patients admitted to the trauma ICU in KwaZulu-Natal. This study aims to describe the management and outcomes of traumatic limb amputations in polytrauma patients at the trauma ICU.

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Recent Advancements in Drug Targeting for Ferroptosis as an Antitumor Therapy: Development of Novel therapeutics.

Curr Cancer Drug Targets

January 2025

Department of Chemistry, Siddhachalam Laboratory, Raipur, 493221, Chhattisgarh, India.

Objectives: The primary objective of this review is to provide updated mechanisms that regulate ferroptosis sensitivity in cancer cells and recent advancements in drug targeting for ferroptosis as an antitumor therapy.

Methods: To achieve these objectives, a comprehensive literature review was conducted, analyzing recent studies on ferroptosis, including its cellular, molecular, and gene-level characteristics. The review involved an evaluation of advancements in ferroptosis drug research across various medical domains, with particular attention to novel therapeutic approaches in nano-medicine, TCM, and Western medicine.

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Background: Switching between versions of medication products happens commonly despite challenges in achieving bioequivalence and therapeutic equivalence. Central nervous system and psychiatric drugs, especially those that are technically demanding to manufacture and have complex pharmacokinetic properties, such as long-acting injectables (LAIs), pose particular challenges to bioequivalence and safe and efficacious drug switching.

Aims: To assess whether drugs deemed "bioequivalent" are truly interchangeable in drug switching.

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X-ray diffraction is ideal for probing the sub-surface state during complex or rapid thermomechanical loading of crystalline materials. However, challenges arise as the size of diffraction volumes increases due to spatial broadening and because of the inability to deconvolute the effects of different lattice deformation mechanisms. Here, we present a novel approach that uses combinations of physics-based modeling and machine learning to deconvolve thermal and mechanical elastic strains for diffraction data analysis.

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Purpose: Postoperative thirst is common and distressing to patients, as is pain and nausea. The causes of postoperative thirst are complex and include factors like preoperative fasting, perioperative fluid loss, and certain anesthesia medications. Effective care for postoperative thirst has been shown in post-anesthesia care units (PACUs), but many Japanese hospitals lack PACUs or do not address thirst in their PACUs.

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