Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility Testing.
Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility Testing.
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DOI:
10.3390/antibiotics11040511
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发表时间:
2022-04-12
期刊:
影响因子:
--
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中科院分区:
文献类型:
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Bloodstream infections (BSI) are a leading cause of death worldwide. The lack of timely and reliable diagnostic practices is an ongoing issue for managing BSI. The current gold standard blood culture practice for pathogen identification and antibiotic susceptibility testing is time-consuming. Delayed diagnosis warrants the use of empirical antibiotics, which could lead to poor patient outcomes, and risks the development of antibiotic resistance. Hence, novel techniques that could offer accurate and timely diagnosis and susceptibility testing are urgently needed. This review focuses on BSI and highlights both the progress and shortcomings of its current diagnosis. We surveyed clinical workflows that employ recently approved technologies and showed that, while offering improved sensitivity and selectivity, these techniques are still unable to deliver a timely result. We then discuss a number of emerging technologies that have the potential to shorten the overall turnaround time of BSI diagnosis through direct testing from whole blood—while maintaining, if not improving—the current assay’s sensitivity and pathogen coverage. We concluded by providing our assessment of potential future directions for accelerating BSI pathogen identification and the antibiotic susceptibility test. While engineering solutions have enabled faster assay turnaround, further progress is still needed to supplant blood culture practice and guide appropriate antibiotic administration for BSI patients.
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影响因子:
4.9
作者:
ALBORN, WE;ALLEN, NE;PRESTON, DA
通讯作者:
PRESTON, DA
影响因子:
4.6
作者:
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影响因子:
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通讯作者:
Le Pioufle, Bruno
DOI:
10.1073/pnas.0704958104
发表时间:
2007-11-27
影响因子:
11.1
作者:
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通讯作者:
Toner, Mehmet
影响因子:
3.7
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通讯作者:
Yang S