Flexible fiberoptic bronchoscopy (FOB) is an invasive procedure with diagnostic and/or therapeutic purposes commonly used in critically ill patients. FOB may be complicated by desaturation, onset or worsening of the respiratory failure, and hemodynamic instability due to cardio-respiratory alterations occurring during the procedure. Increasing evidences suggest the use of high-flow through nasal cannula (HFNC) over conventional oxygen therapy (COT) in critically ill patients with acute respiratory failure (ARF). Indeed, HFNC has a rationale and possible physiologic advantages, even during FOB. However, to date, evidences in favor of HFNC over COT or continuous positive airway pressure (CPAP) or non-invasive ventilation (NIV) during FOB are still weak. Nonetheless, in critically ill patients with hypoxemic ARF, the choice of the oxygenation strategy during a FOB is challenging. Based on a review of the literature, HFNC may be preferred over COT in patients with mild to moderate hypoxemic ARF, without cardiac failure or hemodynamic instability. On the opposite, in critically ill patients with more severe hypoxemic ARF or in the presence of cardiac failure or hemodynamic instability, CPAP or NIV, applied with specifically designed interfaces, may be preferred over HFNC.
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http://dx.doi.org/10.1186/s44158-021-00001-y | DOI Listing |
BMJ Open
January 2025
Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Introduction: The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy-most notably Procalcitonin (PCT) and C-reactive protein (CRP)-show promise in safely reducing patient antibiotic exposure. While CRP is less studied, it offers advantages such as lower cost and broader availability compared with PCT.
View Article and Find Full Text PDFBMJ
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Medicine; and Department of Physical Medicine and Rehabilitation. Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Approximately half of critically ill adults experience intensive care unit acquired weakness (ICUAW). Patients who develop ICUAW may have negative outcomes, including longer duration of mechanical ventilation, greater length of stay, and worse mobility, physical functioning, quality of life, and mortality. Early physical rehabilitation interventions have potential for improving ICUAW; however, randomized trials show inconsistent findings on the efficacy of these interventions.
View Article and Find Full Text PDFDiabetes Res Clin Pract
January 2025
Department of Cardiovascular Medicine, The 2(nd) Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi, China; Molecular Medicine of Jiangxi Key Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, 330006, China. Electronic address:
Objective: High glycemic variability (GV) often indicates a poor prognosis. Our aim is to investigate the relationship between GV and short and long-term mortality in critically ill heart failure (HF) patients.
Methods: We extracted data from the Medical Information Mart for Intensive Care IV database.
Vet Immunol Immunopathol
January 2025
Department of Infectious Disease, College of Veterinary Medicine, Seoul National University, Seoul, Korea; Research Institute for Veterinary Science and BK21, Seoul National University, Seoul, Korea. Electronic address:
Background: Bordetella bronchiseptica is a primary pathogen in canine infectious respiratory disease (CIRD), or kennel cough, capable of independently causing respiratory illness and contributing significantly to co-infections with other viral and bacterial agents. Despite its critical role in disease transmission and persistence, the epidemiology of B. bronchiseptica in CIRD remains poorly understood.
View Article and Find Full Text PDFJ Theor Biol
January 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China. Electronic address:
There are evidence showing that meteorological factors, such as temperature and humidity, have critical effects on transmission of some infectious diseases, while quantifying the influence is challenging. In this study we develop a learning-explaining framework to discover the particular dependence of transmission mechanisms on meteorological factors based on multiple source data. The incidence rate based on the epidemic data and epidemic model is theoretically identified, and meanwhile the practical discovery of particular formula is feasible through deep neural networks (DNN), symbolic regression (SR) and sparse identification of nonlinear dynamics (SINDy).
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