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The clinical impact of computed tomography in patients with sepsis of unknown origin: A systematic review

Authors: Gamvrouli, Maria; Triantafyllou, Christos; Triantafyllou, Vasileios;

The clinical impact of computed tomography in patients with sepsis of unknown origin: A systematic review

Abstract

ABSTRACT Introduction: The identification of occult sources of infection is of paramount importance to improve the outcomes of patients with sepsis. Aim: The investigation of the clinical impact of computed tomography (CT) scans in patients with sepsis of unknown origin. Methods: A systematic review of studies published up to December 2016 in PubMed and Scopus databases was conducted, with the following key-words: “'sepsis”, “severe sepsis”, “septic shock”, “unknown origin”, “computed tomography” and “CT”. The keywords were searched in the title and abstract of the studies, while the filters "human" and "English language" were used. The inclusion criteria in this review were: studies should concern patients sepsis or severe sepsis or septic shock of unknown origin, as well as patients having undergone CT or positron emission tomography (PET/CT). Results: Of the published studies, 5 met the inclusion criteria. The results of the studies showed that in all of the 75 and 89 patients underwent PET/CT and CT, true positive findings showed in 50 (66.66%) and in 29 (35%) patients, respectively, while in 23 out of 50 (46%) and in all of the 29 (100%) patients, findings led to the selection of the appropriate therapeutic intervention or led to a change in the initial chosen treatment. Conclusions: CT and PET/CT are valuable tools in identifying occult sources of infection in patients with sepsis or severe sepsis or septic shock, contributing to the selection of the appropriate therapeutic intervention and leading to higher rates of survival.

Keywords

sepsis, Computed Tomography, unknown origin

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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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