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http://dx.doi.org/10.1186/s40635-025-00769-1 | DOI Listing |
Eur Respir J
August 2025
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
https://bit.ly/4jEy5RT
View Article and Find Full Text PDFIntensive Care Med Exp
June 2025
Pattern Recognition & Bioinformatics Group, Delft University of Technology, Delft, The Netherlands.
Anaesth Crit Care Pain Med
May 2025
Center for Anesthesia Research Excellence, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Bos
Background: International guidelines have emphasized the necessity of evaluating the temporal stability of acute respiratory distress syndrome (ARDS) subphenotypes. This study aimed to assess the temporal stability of subphenotypes of ARDS over 28 days.
Methods: A reanalysis of a randomized trial was conducted, including patients with COVID-19-related moderate-to-severe ARDS across 43 centers.
Sci Prog
April 2025
Faculty of Medicine and Pharmacy, Abdelmalek Saadi University, Tangier, Morocco.
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated with high mortality rates, particularly when kidney replacement therapy (KRT) becomes necessary. The optimal timing for initiating KRT remains a subject of ongoing debate. Emerging tools and methodologies, such as machine learning and advanced sub-phenotyping, offer promising insights into refining AKI management.
View Article and Find Full Text PDFBr J Anaesth
May 2025
Department of Anesthesia and Perioperative Care, Division of Critical Care Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA; French Clinical Research Infrastructure Network Initiative-Cardio Renal Clinical Trialists Network, Nancy, France. Electronic address: matthieu
Recent findings from Gutierrez del Arroyo and colleagues identified distinct sub-phenotypes in patients undergoing major noncardiac surgery based on biomarkers such as N terminal pro-brain natriuretic peptide, renin, aldosterone, and angiotensin-converting enzyme 2, which were associated with varying risks of postoperative myocardial injury. Although their findings highlight the potential of sub-phenotyping for advancing perioperative precision medicine, further research is needed to validate these sub-phenotypes and explore their role in tailoring perioperative management strategies.
View Article and Find Full Text PDF