Acute respiratory distress syndrome

BT Thompson, RC Chambers… - New England Journal of …, 2017 - Mass Medical Soc
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[HTML][HTML] Antiviral and immunomodulatory activity of curcumin: A case for prophylactic therapy for COVID-19

RK Thimmulappa, KK Mudnakudu-Nagaraju… - Heliyon, 2021 - cell.com
Abstract Coronavirus disease-19 (COVID-19), a devastating respiratory illness caused by
SARS-associated coronavirus-2 (SARS-CoV-2), has already affected over 64 million people …

[HTML][HTML] Neutrophil extracellular traps mediate m6A modification and regulates sepsis-associated acute lung injury by activating ferroptosis in alveolar epithelial cells

H Zhang, J Liu, Y Zhou, M Qu, Y Wang… - … Journal of Biological …, 2022 - ncbi.nlm.nih.gov
Neutrophil extracellular traps (NETs) production is a major strategy employed by
polymorphonuclear neutrophils (PMNs) to fight against microbes. NETs have been …

[HTML][HTML] Biomarkers for acute respiratory distress syndrome and prospects for personalised medicine

S Spadaro, M Park, C Turrini, T Tunstall… - Journal of …, 2019 - Springer
Acute lung injury (ALI) affects over 10% of patients hospitalised in critical care, with acute
respiratory distress syndrome (ARDS) being the most severe form of ALI and having a …

[HTML][HTML] The safety and efficacy of mesenchymal stromal cells in ARDS: a meta-analysis of randomized controlled trials

F Wang, Y Li, B Wang, J Li, Z Peng - Critical Care, 2023 - Springer
Mesenchymal stromal cells (MSC) have shown potential efficacy in both animal and human
trials of acute respiratory distress syndrome (ARDS). Especially during the COVID-19 …

[HTML][HTML] Soluble receptor for advanced glycation end products (sRAGE) as a biomarker of COVID-19 disease severity and indicator of the need for mechanical …

A Lim, A Radujkovic, MA Weigand, U Merle - Annals of Intensive Care, 2021 - Springer
Background COVID-19 pneumonia and subsequent respiratory failure is causing an
immense strain on intensive care units globally. Early prediction of severe disease enables …

[HTML][HTML] Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation

J Wang, Y Sun, S Teng, K Li - BMC medicine, 2020 - Springer
Background Sepsis is a leading cause of death in intensive care units (ICUs), but outcomes
of individual patients are difficult to predict. The recently developed clinical metabolomics …

[HTML][HTML] Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)

S Le, E Pellegrini, A Green-Saxena, C Summers… - Journal of Critical …, 2020 - Elsevier
Purpose Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with
high mortality and associated morbidity. The objective of this study is to develop and …

[HTML][HTML] Machine learning for patient risk stratification for acute respiratory distress syndrome

D Zeiberg, T Prahlad, BK Nallamothu, TJ Iwashyna… - PloS one, 2019 - journals.plos.org
Background Existing prediction models for acute respiratory distress syndrome (ARDS)
require manual chart abstraction and have only fair performance–limiting their suitability for …

RAB26-dependent autophagy protects adherens junctional integrity in acute lung injury

W Dong, B He, H Qian, Q Liu, D Wang, J Li, Z Wei… - Autophagy, 2018 - Taylor & Francis
Microvascular barrier dysfunction is the central pathophysiological feature of acute lung
injury (ALI). RAB26 is a newly identified small GTPase involved in the regulation of …