Cytokine storm has been widely known to contribute to the development of the critical condition in patients with coronavirus disease 2019 (COVID-19), and studies had been conducted to assess the potential aspect of cytokine storm elimination by performing therapeutic plasma exchange (TPE). However, contradictory findings were observed. The objective of this study was to assess the association between TPE and the reduction of mortality of critically ill COVID-19 patients. A meta-analysis was conducted by collecting data from PubMed, Scopus, and Web of Science. Data on the mortality rate of critically ill COVID-19 patients treated with TPE plus standard of care and that of patients treated with standard of care alone were analyzed using a Z test. We included a total of four papers assessing the association between TPE and the risk of mortality among critically ill COVID-19 patients. Our findings suggested that critically ill COVID-19 patients treated with TPE had lower risk of mortality compared to those without TPE treatment. Our study has identified the potential benefits of TPE in reducing the risk of mortality among critically ill COVID-19 patients.
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http://dx.doi.org/10.12688/f1000research.74972.1 | DOI Listing |
J Crit Care
January 2025
Department of Critical Care, School of Medicine, University of Melbourne, Parkville, Victoria, Australia; Department of Intensive Care, Royal Melbourne Hospital, Parkville, Victoria, Australia; Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia; Data Analytics Research and Evaluation, Austin Hospital, Melbourne, Australia. Electronic address:
Background: Hypernatremia is relatively common in acutely ill patients and associated with mortality. Guidelines recommend a slow rate of correction (≤ 0.5 mmol/L per hour).
View Article and Find Full Text PDFNutrition
December 2024
Hacettepe University, Department of Internal Medicine, Division of Geriatric Medicine, Ankara, Turkey.
Background And Aim: Malnutrition is strongly related to mortality in intensive care unit (ICU) patients. The Patient- and Nutrition-Derived Outcome Risk Assessment Score (PANDORA) is a novel mortality prediction tool encompassing nutritional assessment. Since there is limited evidence regarding the power of PANDORA in predicting mortality in critically ill patients, we aimed to evaluate the benefit of adding PANDORA to the Global Leadership Initiative on Malnutrition (GLIM) for mortality prediction in the ICU setting by comparing it with the other valid mortality predictors.
View Article and Find Full Text PDFBest Pract Res Clin Anaesthesiol
September 2024
Department of Anaesthesiology, University Hospitals Leuven (BE), Department of Cardiovascular Sciences, KU Leuven (BE), Herestraat 49, B-3000, Leuven, Belgium.
Critical illness during pregnancy poses significant challenges driven by complex interactions between physiological changes, pre-existing conditions, and healthcare disparities. In high-income countries, increasing maternal age and comorbidities complicate obstetric care by triggering an unprecedented rise in cardiac disease during pregnancy, while infections like influenza and COVID-19 are important causes of maternal adult respiratory distress syndrome. Extracorporeal membrane oxygenation (ECMO) gained prominence as a vital intervention, providing respiratory and/or cardiac support, for varying indications between antenatal and postpartum periods.
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFJ Intensive Care Soc
January 2025
Department of Physiotherapy, Faculty of Medicine, Dentistry and Health Sciences, School of Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Digital health refers to the field of using and developing technology to improve health outcomes. Digital health and digital health interventions (DHIs) within the area of intensive care and critical illness survivorship are rapidly evolving. Digital health interventions refer to technologies in clinical interventional format.
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