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Biological Phenotyping in Sepsis and Acute Respiratory Distress Syndrome.
Sinha, Pratik; Meyer, Nuala J; Calfee, Carolyn S.
  • Sinha P; Division of Clinical & Translational Research and Division of Critical Care, Department of Anesthesia, Washington University, St. Louis, Missouri, USA; email: p.sinha@wustl.edu.
  • Meyer NJ; Division of Pulmonary, Allergy, and Critical Care Medicine; Center for Translational Lung Biology; and Lung Biology Institute, University of Pennsylvania Perelman School of Medicine; Philadelphia, Pennsylvania, USA.
  • Calfee CS; Division of Pulmonary, Critical Care, Allergy & Sleep Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Annu Rev Med ; 74: 457-471, 2023 01 27.
Article en En | MEDLINE | ID: mdl-36469902
ABSTRACT
Heterogeneity in sepsis and acute respiratory distress syndrome (ARDS) is increasingly being recognized as one of the principal barriers to finding efficacious targeted therapies. The advent of multiple high-throughput biological data ("omics"), coupled with the widespread access to increased computational power, has led to the emergence of phenotyping in critical care. Phenotyping aims to use a multitude of data to identify homogenous subgroups within an otherwise heterogenous population. Increasingly, phenotyping schemas are being applied to sepsis and ARDS to increase understanding of these clinical conditions and identify potential therapies. Here we present a selective review of the biological phenotyping schemas applied to sepsis and ARDS. Further, we outline some of the challenges involved in translating these conceptual findings to bedside clinical decision-making tools.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndrome de Dificultad Respiratoria / Sepsis Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndrome de Dificultad Respiratoria / Sepsis Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article