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Cited by 194

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Bench-to-bedside review: Appropriate antibiotic therapy in severe sepsis and septic shock – does the dose matter?

Open access
Pea, Federico, Viale, Pierluigi·2009·Critical Care

Abstract

Appropriate antibiotic therapy in patients with severe sepsis and septic shock should mean prompt achievement and maintenance of optimal exposure at the infection site with broad-spectrum antimicrobial agents administered in a timely manner. Once the causative pathogens have been identified and tested for in vitro susceptibility, subsequent de-escalation of antimicrobial therapy should be applied whenever feasible. The goal of appropriate antibiotic therapy must be pursued resolutely and with continuity, in view of the ongoing explosion of antibiotic-resistant infections that plague the intensive care unit setting and of the continued decrease in new antibiotics emerging. This article provides some principles for the correct handling of antimicrobial dosing regimens in patients with severe sepsis and septic shock, in whom various pathophysiological conditions may significantly alter the pharmacokinetic behaviour of drugs.

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Crossref · 10.1186/cc7774

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Metadata

Authors
Pea, F., & Viale, P.
Venue
Critical Care
Published
2009
Volume
13
Issue
3
Pages
214
ISSN
1364-8535 (ISSN-L)
OpenAlex
W2016744329
Cited by
194
References
1
FWCI
6.83
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Bench-to-bedside review: Appropriate antibiotic therapy in severe sepsis and septic shock – does the dose matter? https://app.cochat.ai/papers/10.1186/cc7774
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Pea, F., & Viale, P. (2009). Bench-to-bedside review: Appropriate antibiotic therapy in severe sepsis and septic shock – does the dose matter? Critical Care. https://doi.org/10.1186/cc7774

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.