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Decision support guided fluid challenges and stroke volume response during high-risk surgery: a post hoc analysis of a randomized controlled trial.

J Clin Monit Comput

January 2025

Department of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France.

Intravenous fluid is administered during high-risk surgery to optimize stroke volume (SV). To assess ongoing need for fluids, the hemodynamic response to a fluid bolus is evaluated using a fluid challenge technique. The Acumen Assisted Fluid Management (AFM) system is a decision support tool designed to ease the application of fluid challenges and thus improve fluid administration during high-risk surgery.

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Sepsis-induced acute lung injury (ALI) is a common acute and severe reason of death in the intensive care unit. Although the pathogenesis is complicated and multifactorial, elevated inflammation and oxidative stress are considered as fundamental mechanisms for the progression of ALI. Anemonin is a natural compound with diverse biological properties including anti-inflammatory and anti-oxidative effects.

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Anti-CD19 chimeric antigen receptor T cells (CAR) are a well-established treatment option for children and young adults suffering from relapsed/refractory B-lineage acute lymphoblastic leukemia. Bridging therapy is used to control disease prior to start of lymphodepletion before CAR infusion and thereby improve efficacy of CAR therapy. However, the effect of different bridging strategies on outcome, side effects and response to CAR therapy is still poorly understood.

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Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.

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Background: For a long time, the penalty of imprisonment has been studied and criticized as ineffective in achieving the goals of resocialization and rehabilitation of offenders, and studies have associated incarceration with increased prevalence of disease. In response to the COVID-19 pandemic, the World Health Organization recommended decarceration as a prevention measure. The aim of this review was to analyze the effectiveness of non-exposure to incarceration in preventing COVID-19 and mitigating associated events.

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