Evidence map›Paper›PMID 36323751›Full record

ArticleScientific reports2022

Real world clinical feasibility of direct-from-specimen antimicrobial susceptibility testing of clinical specimens with unknown microbial load or susceptibility.

Jade Chen, Eduardo Navarro, Brian Mesich, Derek Gerstbrein, Amorina Cruz, Matthew L Faron, Vincent Gau

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jade ChenGeneFluidics, Los Angeles, CA, USA.
Eduardo NavarroGeneFluidics, Los Angeles, CA, USA.
Brian MesichThe Medical College of Wisconsin, Milwaukee, WI, USA.
Derek GerstbreinThe Medical College of Wisconsin, Milwaukee, WI, USA.
Amorina CruzThe Medical College of Wisconsin, Milwaukee, WI, USA.
Matthew L FaronThe Medical College of Wisconsin, Milwaukee, WI, USA.
Vincent GauGeneFluidics, Los Angeles, CA, USA. vgau@genefluidics.com.
Medical College of Wisconsin · USGeneFluidics (United States) · US

Funding

Safe and Effective Whole Blood ID/AST Device for Use in Neonatal ICU SettingsR44HD084033 · NICHD · GENEFLUIDICS, INC. · PI GAU, VINCENT JEN-JR · 2015 to 2021
$4.6M
A fully integrated CentriFluidic system for direct bloodstream infection PID/ASTR01AI117059 · NIAID · GENEFLUIDICS, INC. · PI GAU, VINCENT JEN-JR · 2015 to 2019
$3.6M
NIAID NIH HHS R01 AI117059NICHD NIH HHS R44 HD084033
6 · The paper itself

Abstract

Within healthcare settings, physicians use antibiograms, which offer information on local susceptibility rates, as an aid in selecting empirical antibiotic therapy and avoiding the prescription of potentially ineffective drugs. While antibiograms display susceptibility and resistance data at hospital, city, or region-specific levels and ultimately enable the initiation of antibiogram-based empirical antibiotic treatment, AST reports at the individual patient level and guides treatments away from broad-spectrum antibiotics towards narrower-spectrum antibiotics or the removal of antibiotics entirely. Despite these advantages, AST traditionally requires a 48- to 72-h turn-around; this window of time can be critical for some antimicrobial therapeutic interventions. Herein, we present a direct-from-specimen AST to reduce the time between patient sampling and receipt of lab AST results. The biggest challenge of performing AST directly from unprocessed clinical specimens with an unknown microbial load is aligning the categorical susceptibility report with CLSI reference methods, which start from a fixed inoculum of 0.5 McFarland units prepared using colonies from a sub-culture. In this pilot clinical feasibility study using de-identified remnant specimens collected from MCW, we observed the high and low ends of microbial loads, demonstrating a final categorical agreement of 87.5% for ampicillin, 100% for ciprofloxacin, and 100% for sulfamethoxazole-trimethoprim.

Indexed as

Anti-Bacterial AgentsCiprofloxacinAmpicillinFeasibility StudiesHumansMicrobial Sensitivity TestsAmpicillinAnti-Bacterial AgentsCiprofloxacin

Identifiers

PMID36323751
PMCPMC9630444
OpenAlexW4308147591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.