Publications by authors named "Kreitmann L"

Background: Transcriptomics biomarkers have been widely used to predict mortality in patients with sepsis. However, the association between mRNA levels and outcomes shows substantial variability over the course of sepsis, limiting their predictive performance. We aimed to: (a) identify and validate an mRNA biomarker signature whose association with all-cause intensive care unit (ICU) mortality is consistent at several timepoints; and (b) evaluate how this mRNA signature could be used in association with lactate levels for predictive and prognostic enrichment in sepsis.

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Background: Activation of innate immunity is a first line of host defense during acute critical illness (ACI) that aims to contain injury and avoid tissue damages. Aberrant activation of innate immunity may also participate in the occurrence of organ failures during critical illness. This review aims to provide a narrative overview of recent advances in the field of innate immunity in critical illness, and to consider future potential therapeutic strategies.

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Background: The immune response of critically ill patients, such as those with sepsis, severe trauma, or major surgery, is heterogeneous and dynamic, but its characterization and impact on outcomes are poorly understood. Until now, the primary challenge in advancing our understanding of the disease has been to concurrently address both multiparametric and temporal aspects.

Methods: We used a clustering method to identify distinct groups of patients, based on various immune marker trajectories during the first week after admission to ICU.

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Article Synopsis
  • Next-generation sequencing technologies and computational advances have enhanced our understanding of gene expression regulation, leading to increased interest in using transcriptomic biomarkers for disease diagnosis, prognosis assessment, and treatment prediction.
  • Despite progress in identifying transcriptomic signatures, challenges such as patient variability and technical integration still complicate their use in standard clinical diagnostics.
  • The article proposes a computational framework that accounts for cross-platform implementation constraints during signature discovery, aiming to facilitate the integration of RNA signatures from high-throughput technologies into nucleic acid amplification methods for clinical use.
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Background: Immunosuppression at intensive care unit (ICU) admission has been associated with a higher incidence of ICU-acquired infections, some of them related to opportunistic pathogens. However, the association of immunosuppression with the incidence, microbiology and outcomes of ICU-acquired bacterial bloodstream infections (BSI) has not been thoroughly investigated.

Methods: Retrospective single-centered cohort study in France.

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Immunocompromised patients account for an increasing proportion of the typical intensive care unit (ICU) case-mix. Because of the increased availability of new drugs for cancer and auto-immune diseases, and improvement in the care of the most severely immunocompromised ICU patients (including those with hematologic malignancies), critically ill immunocompromised patients form a highly heterogeneous patient population. Furthermore, a large number of ICU patients with no apparent immunosuppression also harbor underlying conditions altering their immune response, or develop ICU-acquired immune deficiencies as a result of sepsis, trauma or major surgery.

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Article Synopsis
  • Many ICU-acquired infections are caused by multidrug-resistant bacteria (MDR), leading to higher mortality rates and longer stays in the ICU, especially for COVID-19 patients.
  • Although there is some research on the link between COVID-19 and MDR infections, few studies have effectively compared these cases with non-COVID-19 patients.
  • The higher incidence of MDR infections in COVID-19 patients may be due to factors like longer ICU stays, immunomodulatory treatments, and increased strain on healthcare resources during the pandemic.
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Developing multiplex PCR assays requires extensive experimental testing, the number of which exponentially increases by the number of multiplexed targets. Dedicated efforts must be devoted to the design of optimal multiplex assays ensuring specific and sensitive identification of multiple analytes in a single well reaction. Inspired by data-driven approaches, we reinvent the process of developing and designing multiplex assays using a hybrid, simple workflow, named Smart-Plexer, which couples empirical testing of singleplex assays and computer simulation to develop optimised multiplex combinations.

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A bloodstream infection (BSI) is a severe ICU-acquired infection. A growing proportion is caused by multidrug-resistant bacteria (MDRB). COVID-19 was reported to be associated with a high rate of secondary infections.

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Purpose: Patients presenting the most severe form of coronavirus disease 2019 (COVID-19) pneumonia, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have a prolonged intensive care unit (ICU) stay and are exposed to broad-spectrum antibiotics, but the impact of COVID-19 on antimicrobial resistance is unknown.

Methods: Observational prospective before-after study in 7 ICUs in France. All consecutive patients with an ICU stay > 48 h and a confirmed SARS-CoV-2 infection were included prospectively and followed for 28 days.

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Article Synopsis
  • * A new model, the transformer-based conditional domain adversarial network (T-CDAN), aims to address challenges in target classification by reducing data distribution differences, thus improving accuracy in identifying pathogens.
  • * Testing on 198 clinical isolates showed significant accuracy improvements (20.9% for curve-level and 4.9% for sample-level) with T-CDAN, highlighting its potential for better multiplexing in clinical qPCR applications.
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Real-time polymerase chain reaction (qPCR) enables accurate detection and quantification of nucleic acids and has become a fundamental tool in biological sciences, bioengineering and medicine. By combining multiple primer sets in one reaction, it is possible to detect several DNA or RNA targets simultaneously, a process called multiplex PCR (mPCR) which is key to attaining optimal throughput, cost-effectiveness and efficiency in molecular diagnostics, particularly in infectious diseases. Multiple solutions have been devised to increase multiplexing in qPCR, including techniques, using target-specific fluorescent oligonucleotide probes, and where segregation of the sample enables parallel amplification of multiple targets.

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Article Synopsis
  • The study aimed to assess a new multiplex PCR tool, the immune profiling panel (IPP), to identify immunosuppressed patients in the ICU, particularly those with low mHLA-DR expression.
  • The research involved analyzing 1,731 blood samples from critically ill patients and demonstrated that the IPP had a high accuracy (AUC of 0.86) in recognizing immunosuppression.
  • Ultimately, the use of IPP showed potential for improving patient stratification in clinical trials for immune therapies, especially in identifying those at risk for infections in the ICU.
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Immunocompromised patients-including patients with cancer, hematological malignancies, solid organ transplants and individuals receiving immunosuppressive therapies for autoimmune diseases-account for an increasing proportion of critically-ill patients. While their prognosis has improved markedly in the last decades, they remain at increased risk of healthcare- and intensive care unit (ICU)-acquired infections. The most frequent of these are ventilator-associated lower respiratory tract infections (VA-LTRI), which include ventilator-associated pneumonia (VAP) and tracheobronchitis (VAT).

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Article Synopsis
  • Eosinophilia, a condition marked by high eosinophil levels in the blood, can be significant in ICU patients but has been understudied regarding its causes and implications.
  • In a study of 620 ICU patients over 6 years, two groups based on the timing of eosinophilia were identified: early (within 24 hours) and delayed (after 24 hours), with varying causes and symptoms.
  • The survival rates at 60 days post-admission were similar for both groups, and specific risk factors related to mortality were identified, highlighting the need for tailored management approaches based on the timing of eosinophilia onset.
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  • A study was conducted in 8 French ICUs to investigate how immunosuppression affects the acquisition of multidrug-resistant (MDR) bacteria and infections in critically ill patients staying over 48 hours.
  • Out of 750 patients involved, 35.2% were immunocompromised, and surprisingly, these patients exhibited a lower incidence of MDR colonization and infections compared to their non-immunocompromised counterparts.
  • Results suggest that contact precautions and isolation measures play a crucial role in preventing the spread of MDR bacteria in ICUs, highlighting potential implications for antibiotic use and management practices.
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Immune responses affiliated with COVID-19 severity have been characterized and associated with deleterious outcomes. These approaches were mainly based on research tools not usable in routine clinical practice at the bedside. We observed that a multiplex transcriptomic panel prototype termed Immune Profiling Panel (IPP) could capture the dysregulation of immune responses of ICU COVID-19 patients at admission.

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Article Synopsis
  • Real-time digital polymerase chain reaction (qdPCR) paired with machine learning is advancing molecular diagnostics, especially for infectious diseases, by analyzing amplification curves for better target classification.
  • Researchers proposed a new framework that uses outlier detection algorithms to filter out nonspecific or inefficient reactions from qdPCR data, enhancing the accuracy of multiplex PCR methods.
  • The study demonstrated a significant improvement in classification performance, increasing sensitivity by 1.2% and reducing incorrect results from 53.5% of melting curves by filtering based on amplification curve characteristics.
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  • Ventilator-associated pneumonia (VAP) frequently affects patients with severe COVID-19 who are on mechanical ventilation, prompting this study to examine how corticosteroids might influence VAP risk.
  • A multicenter study analyzed data from 545 patients in 36 ICUs to determine if corticosteroid use impacted VAP incidence, finding that the relationship varied after 48 hours of mechanical ventilation.
  • Overall, no significant link was established between corticosteroid treatment and VAP, though the effect seemed to shift over time during the ICU stay.
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Background: Although multiple individual immune parameters have been demonstrated to predict the occurrence of secondary infection after critical illness, significant questions remain with regards to the selection, timing and clinical utility of such immune monitoring tests.

Research Question: As a sub-study of the REALISM study, the REALIST score was developed as a pragmatic approach to help clinicians better identify and stratify patients at high risk for secondary infection, using a simple set of relatively available and technically robust biomarkers.

Study Design And Methods: This is a sub-study of a single-centre prospective cohort study of immune profiling in critically ill adults admitted after severe trauma, major surgery or sepsis/septic shock.

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