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Sepsis Subclasses: A Framework for Development and Interpretation*
DOI:10.1097/CCM.0000000000004842.png)
Abstract
En 中文
Sepsis is defined as a dysregulated host response to infection that leads to life-threatening acute organ dysfunction. It afflicts approximately 50 million people worldwide annually and is often deadly, even when evidence-based guidelines are applied promptly. Many randomized trials tested therapies for sepsis over the past 2 decades, but most have not proven beneficial. This may be because sepsis is a heterogeneous syndrome, characterized by a vast set of clinical and biologic features. Combinations of these features, however, may identify previously unrecognized groups, or subclasses with different risks of outcome and response to a given treatment. As efforts to identify sepsis subclasses become more common, many unanswered questions and challenges arise. These include: 1) the semantic underpinning of sepsis subclasses, 2) the conceptual goal of subclasses, 3) considerations about study design, data sources, and statistical methods, 4) the role of emerging data types, and 5) how to determine whether subclasses represent truth. We discuss these challenges and present a framework for the broader study of sepsis subclasses. This framework is intended to aid in the understanding and interpretation of sepsis subclasses, provide a mechanism for explaining subclasses generated by different methodologic approaches, and guide clinicians in how to consider subclasses in bedside care.
Keywords:
heterogeneity
phenotype
sepsis
subclass
Journal
IF:
6
Papers:
3.0W
Citations:
3.8W
Organization
Cited Papers
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
NATURE MEDICINE
IF50
Diagnosing sepsis is subjective and highly variable: a survey of intensivists using case vignettes
CRITICAL CARE
IF9.3
Membership and Behavior of Ultra-Low-Diversity Pathogen Communities Present in the Gut of Humans during Prolonged Critical Illness
MBIO
IF4.7
Identification of sepsis subtypes in critically ill adults using gene expression profiling
CRITICAL CARE
IF9.3

