Literature DB >> 31639731

Direct Detection of Pathogens in Bloodstream During Sepsis: Are We There Yet?

Linoj Samuel1.   

Abstract

BACKGROUND: Advances in medicine have improved our understanding of sepsis, but it remains a major cause of morbidity and mortality. The detection of pathogens that cause sepsis remains a challenge for clinical microbiology laboratories. CONTENT: Routine blood cultures are time-consuming and are negative in a large proportion of cases, leading to excessive use of broad-spectrum antimicrobials. Molecular testing direct from patient blood without the need for incubation has the potential to fill the gaps in our diagnostic armament and complement blood cultures to provide results in a timely manner. Currently available platforms show promise but have yet to definitively address gaps in sensitivity and specificity.
SUMMARY: Significant strides have been made in the detection of pathogens directly from blood. A number of hurdles, however, remain before this technology can be adapted for routine use.
© 2018 American Association for Clinical Chemistry.

Entities:  

Year:  2018        PMID: 31639731     DOI: 10.1373/jalm.2018.028274

Source DB:  PubMed          Journal:  J Appl Lab Med        ISSN: 2475-7241


  6 in total

1.  A Pragmatic Machine Learning Model To Predict Carbapenem Resistance.

Authors:  Ryan J McGuire; Sean C Yu; Philip R O Payne; Albert M Lai; M Cristina Vazquez-Guillamet; Marin H Kollef; Andrew P Michelson
Journal:  Antimicrob Agents Chemother       Date:  2021-06-17       Impact factor: 5.191

2.  Rapid antibiotic susceptibility testing of bacteria from patients' blood via assaying bacterial metabolic response with surface-enhanced Raman spectroscopy.

Authors:  Yin-Yi Han; Yi-Chun Lin; Wei-Chih Cheng; Yu-Tzu Lin; Lee-Jene Teng; Juen-Kai Wang; Yuh-Lin Wang
Journal:  Sci Rep       Date:  2020-07-27       Impact factor: 4.379

3.  A metagenomic DNA sequencing assay that is robust against environmental DNA contamination.

Authors:  Omary Mzava; Alexandre Pellan Cheng; Adrienne Chang; Sami Smalling; Liz-Audrey Kounatse Djomnang; Joan Sesing Lenz; Randy Longman; Amy Steadman; Luis G Gómez-Escobar; Edward J Schenck; Mirella Salvatore; Michael J Satlin; Manikkam Suthanthiran; John R Lee; Christopher E Mason; Darshana Dadhania; Iwijn De Vlaminck
Journal:  Nat Commun       Date:  2022-07-21       Impact factor: 17.694

4.  Utility of Metagenomic Next-Generation Sequencing for Etiological Diagnosis of Patients with Sepsis in Intensive Care Units.

Authors:  Jung-Yien Chien; Chong-Jen Yu; Po-Ren Hsueh
Journal:  Microbiol Spectr       Date:  2022-07-21

5.  The diagnostic value of next-generation sequencing technology in sepsis.

Authors:  Xiao-Guang Cao; Shu-Sheng Zhou; Chun-Yan Wang; Kui Jin; Hua-Dong Meng
Journal:  Front Cell Infect Microbiol       Date:  2022-09-14       Impact factor: 6.073

6.  The Impact of the FilmArray-Based Detection of Microbial Pathogens from Positive Blood Culture Vials on the Time to Optimal Antimicrobial Regimen in Intensive Care Units of the Helios University Clinic Wuppertal, Germany.

Authors:  Jannik Schumann; Ulrike Johanns; Parviz Ahmad-Nejad; Beniam Ghebremedhin; Gabriele Woebker
Journal:  J Clin Med       Date:  2021-12-15       Impact factor: 4.241

  6 in total

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