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The central role of the microbiome in critical illness is supported by a half century of experimental and clinical study. The physiological effects of critical illness and the clinical interventions of intensive care substantially alter the microbiome. In turn, the microbiome predicts patients' susceptibility to disease, and manipulation of the microbiome has prevented or modulated critical illness in animal models and clinical trials. This Review surveys the microbial ecology of critically ill patients, presents the facts and unanswered questions surrounding gut-derived sepsis, and explores the radically altered ecosystem of the injured alveolus. The revolution in culture-independent microbiology has provided the tools needed to target the microbiome rationally for the prevention and treatment of critical illness, holding great promise to improve the acute and chronic outcomes of the critically ill.
Respiratory Distress Syndrome, Cystic Fibrosis, Critical Illness, Microbiota, Pneumonia, Asthma, Bronchiectasis, Gastrointestinal Microbiome, Pulmonary Disease, Chronic Obstructive, Sepsis, Disease Progression, Animals, Humans, Lung
Respiratory Distress Syndrome, Cystic Fibrosis, Critical Illness, Microbiota, Pneumonia, Asthma, Bronchiectasis, Gastrointestinal Microbiome, Pulmonary Disease, Chronic Obstructive, Sepsis, Disease Progression, Animals, Humans, Lung
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 322 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |