Evidence map›Paper›PMID 35171692›Full record

ArticlemSphere2022

Optimizing Nanopore Sequencing for Rapid Detection of Microbial Species and Antimicrobial Resistance in Patients at Risk of Surgical Site Infections.

Emma Whittle, Jennifer A Yonkus, Patricio Jeraldo, Roberto Alva-Ruiz, Heidi Nelson, Michael L Kendrick, Thomas E Grys, Robin Patel, Mark J Truty, Nicholas Chia

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  8. Direct metagenomics investigation of non-surgical hard-to-heal wounds: a review.Annals of clinical microbiology and antimicrobials · 2024
    Review
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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

10 authors at 3 institutions in 1 country.

Emma Whittle *Division of Surgical Research, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0002-2434-927X
Jennifer A Yonkus *Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Patricio JeraldoDivision of Surgical Research, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0003-0282-4217
Roberto Alva-RuizDivision of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Heidi NelsonDivision of Research and Optimal Patient Care, Cancer Programs, American College of Surgeonsgrid.417954.a, Chicago, Illinois, USA.
Michael L KendrickDivision of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Thomas E GrysDepartment of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Phoenix, Arizona, USA.
Robin PatelDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0001-6344-4141
Mark J TrutyDivision of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Nicholas ChiaDivision of Surgical Research, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Mayo Clinic · USAmerican College of Surgeons · USMayo Clinic Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical site infections (SSI) are a significant burden to patients and health care systems. We evaluated the use of Nanopore sequencing (NS) to rapidly detect microbial species and antimicrobial resistance (AMR) genes present in intraoperative bile aspirates. Bile aspirates from 42 patients undergoing pancreatic head resection were included. Three methods of DNA extraction using mechanical cell lysis or protease cell lysis were compared to determine the optimum method of DNA extraction. The impact of host DNA depletion, sequence run duration, and use of different AMR gene databases was also assessed. To determine clinical value, NS results were compared to standard culture (SC) results. NS identified microbial species in all culture positive samples. Mechanical lysis improved NS detection of cultured species from 60% to 76%, enabled detection of fungal species, and increased AMR predictions. Host DNA depletion improved detection of streptococcal species and AMR correlation with SC. Selection of AMR database influenced the number of AMR hits and resistance profile of 13 antibiotics. AMR prediction using CARD and ResFinder 4.1 correctly predicted 79% and 81% of the bile antibiogram, respectively. Sequence run duration positively correlated with detection of AMR genes. A minimum of 6 h was required to characterize the biliary microbes, resulting in a turnaround time of 14 h. Rapid identification of microbial species and AMR genes can be achieved by NS. NS results correlated with SC, suggesting that NS may be useful in guiding early antimicrobial therapy postsurgery.

Indexed as

Nanopore SequencingAnti-Bacterial AgentsDrug Resistance, BacterialHumansMicrobial Sensitivity TestsSurgical Wound InfectionAnti-Bacterial Agentsantimicrobial resistancemicrobial detectionnanopore sequencingsurgical site infection

Identifiers

PMID35171692
PMCPMC8849348
OpenAlexW4213268729

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.