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ObjectiveSepsis, a systemic inflammatory response triggered by infection, is characterized by organ dysfunction. NETosis, a form of cell death involving the release of neutrophil extracellular traps (NETs), plays a crucial antimicrobial role during sepsis. This study aimed to explore the relationship between NETosis-related genes (NRGs) and 28-day mortality in patients with sepsis.MethodsThis retrospective observational study utilized the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Univariate and multivariate logistic regression analyses were conducted to identify independent prognostic factors. A nomogram was then constructed to assess the potential of these factors in predicting 28-day mortality in patients with sepsis. Additionally, a Mendelian randomization (MR) study was performed to identify NRGs with causal associations to 28-day mortality in sepsis. Expression validation was carried out using the GSE65682 dataset from a public database, followed by identification of key genes. Enrichment analysis was performed to uncover the molecular mechanisms associated with these key genes in sepsis.ResultsA total of 909 patients with sepsis (706 survivors and 203 non-survivors) were identified from the MIMIC-IV database. Seven independent prognostic factors, including absolute neutrophil counts, were identified. The nomogram developed proved to be a reliable tool for predicting 28-day mortality in patients with sepsis. The MR study identified 12 NRGs with a unidirectional causal relationship to 28-day mortality, with AKT1 and CXCR2 emerging as key genes. Both genes are predominantly involved in immune-related pathways.ConclusionAnalysis of the MIMIC-IV database highlighted neutrophil_abs as a significant prognostic factor for 28-day mortality in sepsis. Transcriptomic analysis identified AKT1 and CXCR2 as critical genes associated with 28-day mortality, providing insights into potential therapeutic strategies for sepsis.
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http://dx.doi.org/10.1177/00368504251374929 | DOI Listing |
Background: Acute kidney injury (AKI) in patients with liver cirrhosis represents a significant clinical challenge with high mortality rates. This study aimed to develop and validate a machine learning-based prediction model for 28-day mortality in AKI patients with liver cirrhosis using the MIMIC-IV database.
Methods: This retrospective study analyzed data from 4,168 AKI patients, including 601 with concurrent liver cirrhosis, from the MIMIC-IV database.
J Intensive Care Med
September 2025
Medical Intensive Care Unit, 108 Military Central Hospital, Hanoi, Vietnam.
Background: Bedside ultrasound is increasingly utilized to assess muscle mass in critically ill patients, providing a noninvasive and real-time tool for early risk stratification. Muscle wasting is known to be associated with adverse outcomes in septic shock, but its prognostic value using ultrasound in this population remains underexplored. This study aimed to investigate the association between changes in rectus femoris cross-sectional area (CSA), assessed by bedside ultrasound, and 28-day mortality in patients with septic shock.
View Article and Find Full Text PDFOpen Access Emerg Med
September 2025
Department of Emergency Medicine and Critical Care, Center Hospital of the National Center for Global Health and Medicine, Tokyo, 162-8655, Japan.
Background: A simple screening tool is needed for resource-limited settings because rapid treatment is crucial in sepsis. We investigated whether a simplified score, the reverse shock index multiplied by the Glasgow Coma Scale score (rSIG), could replace the Modified Early Warning Score (MEWS) or the quick Sequential Organ Failure Assessment (qSOFA) for sepsis screening.
Methods: We used data from a Japanese multicenter prospective observational study.
Front Neurol
August 2025
Department of Neurology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Background: The clinical utility of the National Institutes of Health Stroke Scale, Glasgow Coma Scale, and modified Rankin Scale scores in predicting prognosis is well established. However, whether the Acute Physiology and Chronic Health Evaluation System II (APACHE II) score can predict mortality in patients with large vessel occlusion stroke (LVOS) admitted to the neurology intensive care unit (NICU) following endovascular treatment (EVT) remains unclear. This study aims to evaluate the ability of the APACHE II score to predict mortality in post-EVT LVOS patients admitted to the NICU.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
September 2025
From the Department of Acute Critical Care Medicine (K.S., A.E., T.A., H.H.), Tsuchiura Kyodo General Hospital, Tsuchiura; Trauma and Acute Critical Care Medical Center (K.S., A.E., T.A., H.H., A.S., W.T., K. Morishita), Institute of Science Tokyo, Bunkyo-ku; Advanced Medical Emergency Department an
Background: The conventional lethal triad criteria for trauma are too specific for death and, thus, inappropriate as a standard for strategic decisions. Revised lethal triad criteria were previously proposed based on a multicenter study. Positive is defined as meeting one major criterion (fibrin/fibrinogen degradation product >90 μg/mL) or two minor criteria (base excess <-3 mEq/L or temperature <36°C).
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