Publications by authors named "David Antcliffe"

Article Synopsis
  • - Sepsis is a severe response to infection that causes life-threatening organ dysfunction, highlighting the need for better understanding and new treatments for this global health issue.
  • - Researchers utilized high-throughput tandem mass spectrometry to analyze the plasma proteins of sepsis patients compared to other groups, collecting extensive data from over 2,600 samples to identify specific protein changes and disease features.
  • - The findings offer insights into the immune response to sepsis, helping to pinpoint subtypes of the condition, potential biomarkers for diagnosis, and paving the way for personalized treatment strategies.
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Background: Physical rehabilitation of critically ill patients is implemented to improve physical outcomes from an intensive care stay. However, before rehabilitation is implemented, a risk assessment is essential, based on robust safety data. To develop this information, a uniform definition of relevant adverse events is required.

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Rationale: Heterogeneity of the host response within sepsis, acute respiratory distress syndrome (ARDS) and more widely critical illness, limits discovery and targeting of immunomodulatory therapies. Clustering approaches using clinical and circulating biomarkers have defined hyper-inflammatory and hypo-inflammatory subphenotypes in ARDS associated with differential treatment response. It is unknown if similar subphenotypes exist in sepsis populations where leucocyte transcriptomic-defined subphenotypes have been reported.

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Introduction: Machine learning (ML) is increasingly being used to predict antimicrobial resistance (AMR). This review aims to provide physicians with an overview of the literature on ML as a means of AMR prediction.

Methods: References for this review were identified through searches of MEDLINE/PubMed, EMBASE, Google Scholar, ACM Digital Library, and IEEE Xplore Digital Library up to December 2023.

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Article Synopsis
  • About 20% of sepsis cases involve cancer patients, highlighting the need for their inclusion in sepsis trials.
  • Many of these patients are often excluded from such trials, but the specific reasons for this exclusion are unclear.
  • The authors argue that the lack of cancer patient representation in sepsis research limits the applicability of trial results and advocate for broader inclusion to improve management strategies for sepsis in these patients.
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Objective: To describe immune pathways and gene networks altered following major abdominal surgery and to identify transcriptomic patterns associated with postoperative pneumonia.

Background: Nosocomial infections are a major healthcare challenge, developing in over 20% of patients aged 45 or over undergoing major abdominal surgery, with postoperative pneumonia associated with an almost 5-fold increase in 30-day mortality.

Methods: From a prospective consecutive cohort (n=150) undergoing major abdominal surgery, whole-blood RNA was collected preoperatively and at 3 time-points postoperatively (2-6, 24, and 48 h).

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Bacterial and fungal infections are common issues for patients in the intensive care unit (ICU). Large, multinational point prevalence surveys have identified that up to 50% of ICU patients have a diagnosis of bacterial or fungal infection at any one time. Infection in the ICU is associated with its own challenges.

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Background: older people comprise the majority of hospital medical inpatients so decision-making regarding admission of this cohort to the intensive care unit (ICU) is important. ICU can be perceived by clinicians as overly burdensome for patients and loved ones, and long-term impact on quality of life considered unacceptable, effecting potential bias against admitting older people to ICU. The COVID-19 pandemic highlighted the challenge of selecting those who could most benefit from ICU.

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The decision on when it is appropriate to stop antimicrobial treatment in an individual patient is complex and under-researched. Ceasing too early can drive treatment failure, while excessive treatment risks adverse events. Under- and over-treatment can promote the development of antimicrobial resistance (AMR).

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Article Synopsis
  • Advances in data-driven techniques have improved the understanding and treatment of sepsis, particularly in areas like early recognition and personalizing medical care.* -
  • Researchers are focusing on discovering biomarkers and digital signatures to enhance the diagnosis and management of sepsis sub-types, which could lead to better clinical outcomes.* -
  • The review discusses various machine learning methods, including supervised and unsupervised approaches, that have been applied to develop diagnostic tools and identify important biomarkers for sepsis.*
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Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map.

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Article Synopsis
  • - Bacterial infections in the central nervous system (CNS) are hard to treat and can lead to serious health issues due to low effectiveness of antibiotics penetrating the CNS, prompting a review of therapeutic drug monitoring (TDM) in their management.
  • - A total of 136 studies were found, with 17 focusing on 68 patients, mostly monitoring vancomycin and beta-lactam antibiotics; however, the methods and timing for analyzing drug concentrations were inconsistent.
  • - There's a lack of clear guidelines on how to properly use TDM for CNS infections, suggesting a need for standardized protocols and collaboration across research centers to enhance understanding and treatment outcomes.
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Infections are common and need minimal treatment; however, occasionally, due to inappropriate immune response, they can develop into a life-threatening condition known as sepsis. Sepsis is a global concern with high morbidity and mortality. There has been little advancement in the treatment of sepsis, outside of antibiotics and supportive measures.

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Unlabelled: This is the largest study describing the role of P450 epoxygenase metabolites in septic shock in humans and suggests a novel therapeutic target.

Objectives: Oxylipins are oxidative breakdown products of cell membrane fatty acids. Animal models have demonstrated that oxylipins generated by the P450 epoxygenase pathway may be implicated in septic shock pathology.

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Purpose: The trajectory of mechanically ventilated patients with coronavirus disease 2019 (COVID-19) is essential for clinical decisions, yet the focus so far has been on admission characteristics without consideration of the dynamic course of the disease in the context of applied therapeutic interventions.

Methods: We included adult patients undergoing invasive mechanical ventilation (IMV) within 48 h of intensive care unit (ICU) admission with complete clinical data until ICU death or discharge. We examined the importance of factors associated with disease progression over the first week, implementation and responsiveness to interventions used in acute respiratory distress syndrome (ARDS), and ICU outcome.

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Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited.

Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19.

Design, Setting, And Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin.

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Article Synopsis
  • Myocardial dysfunction is prevalent in sepsis, but a study called the LeoPARDS trial found that the inodilator levosimendan does not improve organ dysfunction or reduce mortality in septic shock patients.
  • The research measured cardiac biomarkers and inflammatory mediators in patients to assess the drug's effects, revealing no benefits in reducing the SOFA score or 28-day mortality rates.
  • Specifically, patients with high NT-proBNP who received levosimendan showed worse SOFA scores compared to those on placebo, indicating that levosimendan added to standard care does not enhance outcomes in septic patients with cardiac dysfunction.
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Rationale: There remains uncertainty about the role of corticosteroids in sepsis with clear beneficial effects on shock duration, but conflicting survival effects. Two transcriptomic sepsis response signatures (SRSs) have been identified. SRS1 is relatively immunosuppressed, whereas SRS2 is relatively immunocompetent.

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Clinical investigations lack predictive value when diagnosing pneumonia, especially when patients are ventilated and develop ventilator associated pneumonia (VAP). New tools to aid diagnosis are important to improve outcomes. This pilot study examines the potential for a panel of inflammatory mediators to aid in the diagnosis.

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Clinical features and investigations lack predictive value when diagnosing pneumonia, especially when patients are ventilated and when patients develop ventilator associated pneumonia (VAP). New tools to aid diagnosis are important to improve outcomes. This pilot study examines the potential for metabolic profiling to aid the diagnosis in critical care.

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This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency medicine 2016. Other selected articles can be found online at http://www.biomedcentral.

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