This review explores the current landscape and evolving understanding of sepsis, highlighting both challenges and future directions. Sepsis remains a major global health burden, with diverse clinical presentations complicating timely diagnosis and management. Existing definitions, including the Sepsis-3 criteria, emphasize the importance of organ dysfunction, yet early sepsis detection remains limited by available tools. The Sequential Organ Failure Assessment (SOFA) score, though widely used, may not fully capture early stages of infection or account for complex presentations like noncatecholamine-resistant shock. Additionally, the review underscores the pressing need for standardized terminology across sepsis and shock characterization to ensure consistency in diagnosis and treatment strategies. Accessible, resource-adapted solutions are particularly crucial in low- and middle-income countries where sepsis-related mortality rates are higher due to limited resources. Future research should focus on developing and validating integrated, multi-parameter tools that combine clinical, biochemical, and microbiological data to improve sepsis outcomes globally. Advancing sepsis care will require both technological innovation and collaborative, globally consistent guidelines to bridge disparities in healthcare delivery.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00134-024-07694-z | DOI Listing |
Fluids Barriers CNS
January 2025
Medical Image Processing Department, CHU Amiens-Picardie University Hospital, Amiens, France.
Background: The pressure gradient between the ventricles and the subarachnoid space (transmantle pressure) is crucial for understanding CSF circulation and the pathogenesis of certain neurodegenerative diseases. This pressure can be approximated by the pressure difference across the aqueduct (ΔP). Currently, no dedicated platform exists for quantifying ΔP, and no research has been conducted on the impact of breathing on ΔP.
View Article and Find Full Text PDFMicrobiome
January 2025
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
View Article and Find Full Text PDFEpigenetics Chromatin
January 2025
Department of Biomedical Sciences, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Despite significant advances in HIV treatment, a definitive cure remains elusive. The first-in-human clinical trial of Excision BioTherapeutics' CRISPR-based HIV cure, EBT-101, demonstrated safety but failed to prevent viral rebound. These outcomes may result from the interplay of several factors.
View Article and Find Full Text PDFBiol Sex Differ
January 2025
Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, 98195, USA.
Background: X chromosome inactivation (XCI) is a female-specific process in which one X chromosome is silenced to balance X-linked gene expression between the sexes. XCI is initiated in early development by upregulation of the lncRNA Xist on the future inactive X (Xi). A subset of X-linked genes escape silencing and thus have higher expression in females, suggesting female-specific functions.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Research Center for Palliative Care, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, P.R. China.
Background: The promotion of healthy dietary behaviors in adolescence is critical, which have long-term implications for lifelong health. Integration is an important method for improving limited theories of dietary behavior change. The present study proposes an integrated model aimed at identifying the diverse determinants of healthy dietary behaviors in adolescents and assesses its stage-specific nature as the potential for effective interventions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!