NCT04864873

Brief Summary

This is a laboratory evaluation of a new testing methodology for microbiological diagnosis, whereby participant samples received as part of routine care will be divided between the standard diagnostic pathway and this new pathway: metagenomic next generation sequencing (mNGS). Results obtained from the mNGS pathway will be compared against the standard diagnostic pathway in terms of sensitivity, specificity, accuracy and clinical impact. The samples will be identified at Wellington Southern Community Laboratories (WSCL), which provides laboratory services for Capital and Coast District Health Board, and forwarded to the Institute of Environmental Science and Research (ESR) to undergo mNGS testing.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
400

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started May 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 21, 2021

Completed
8 days until next milestone

First Posted

Study publicly available on registry

April 29, 2021

Completed
2 days until next milestone

Study Start

First participant enrolled

May 1, 2021

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2022

Completed
Last Updated

August 2, 2021

Status Verified

July 1, 2021

Enrollment Period

1 year

First QC Date

April 21, 2021

Last Update Submit

July 26, 2021

Conditions

Keywords

MicrobiologyDiagnosticsMetagenomics

Outcome Measures

Primary Outcomes (4)

  • Sensitivity of mNGS compared to standard pathway

    Proportion of samples where mNGS detects a pathogenic micro-organism that has been identified by the standard diagnostic pathway.

    Within 1 week of sampling.

  • Specificity of mNGS compared to standard pathway

    Proportion of samples where mNGS does not detect a micro-organism where the standard diagnostic pathway has also not detected a micro-organism.

    Within 1 week of sampling.

  • Level of agreement between mNGS and standard pathway

    Proportion of samples where the two methods produce the same result.

    Within 1 week of sampling.

  • Changes to patient management in response to mNGS result

    The microbiologists involved in the project will assess whether there was a change in treatment or other clinical management in response to the mNGS result. This would include binary outcomes such as a change in antibiotic treatment or whether further investigations (e.g. laboratory or diagnostic radiology) were undertaken.

    Within 1 month of sampling.

Study Arms (2)

Standard diagnostic pathway

ACTIVE COMPARATOR

Part of each patient sample will be tested using current standard microbiological techniques.

Diagnostic Test: Standard microbiological diagnostic pathway

mNGS pathway

EXPERIMENTAL

Part of each sample will be testing using mNGS methodology, which will be compared to the standard diagnostic pathway.

Diagnostic Test: Metagenomic next generation sequencing using Oxford Nanopore

Interventions

See previous.

mNGS pathway

See previous.

Standard diagnostic pathway

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • All samples received by the WSCL microbiology laboratory for testing for the purposes of diagnosing infection will be eligible.

You may not qualify if:

  • Use of residual sample for mNGS testing may leave too little remaining sample and compromise standard diagnostic testing.
  • Patients who have requested that their residual samples be returned to them.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Wellington Southern Community Laboratories

Wellington, 6021, New Zealand

RECRUITING

Related Publications (12)

  • Ivy MI, Thoendel MJ, Jeraldo PR, Greenwood-Quaintance KE, Hanssen AD, Abdel MP, Chia N, Yao JZ, Tande AJ, Mandrekar JN, Patel R. Direct Detection and Identification of Prosthetic Joint Infection Pathogens in Synovial Fluid by Metagenomic Shotgun Sequencing. J Clin Microbiol. 2018 Aug 27;56(9):e00402-18. doi: 10.1128/JCM.00402-18. Print 2018 Sep.

    PMID: 29848568BACKGROUND
  • Sanderson ND, Street TL, Foster D, Swann J, Atkins BL, Brent AJ, McNally MA, Oakley S, Taylor A, Peto TEA, Crook DW, Eyre DW. Real-time analysis of nanopore-based metagenomic sequencing from infected orthopaedic devices. BMC Genomics. 2018 Sep 27;19(1):714. doi: 10.1186/s12864-018-5094-y.

    PMID: 30261842BACKGROUND
  • Gu W, Deng X, Lee M, Sucu YD, Arevalo S, Stryke D, Federman S, Gopez A, Reyes K, Zorn K, Sample H, Yu G, Ishpuniani G, Briggs B, Chow ED, Berger A, Wilson MR, Wang C, Hsu E, Miller S, DeRisi JL, Chiu CY. Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids. Nat Med. 2021 Jan;27(1):115-124. doi: 10.1038/s41591-020-1105-z. Epub 2020 Nov 9.

    PMID: 33169017BACKGROUND
  • Street TL, Sanderson ND, Atkins BL, Brent AJ, Cole K, Foster D, McNally MA, Oakley S, Peto L, Taylor A, Peto TEA, Crook DW, Eyre DW. Molecular Diagnosis of Orthopedic-Device-Related Infection Directly from Sonication Fluid by Metagenomic Sequencing. J Clin Microbiol. 2017 Aug;55(8):2334-2347. doi: 10.1128/JCM.00462-17. Epub 2017 May 10.

    PMID: 28490492BACKGROUND
  • Thoendel MJ, Jeraldo PR, Greenwood-Quaintance KE, Yao JZ, Chia N, Hanssen AD, Abdel MP, Patel R. Identification of Prosthetic Joint Infection Pathogens Using a Shotgun Metagenomics Approach. Clin Infect Dis. 2018 Oct 15;67(9):1333-1338. doi: 10.1093/cid/ciy303.

    PMID: 29648630BACKGROUND
  • Langelier C, Kalantar KL, Moazed F, Wilson MR, Crawford ED, Deiss T, Belzer A, Bolourchi S, Caldera S, Fung M, Jauregui A, Malcolm K, Lyden A, Khan L, Vessel K, Quan J, Zinter M, Chiu CY, Chow ED, Wilson J, Miller S, Matthay MA, Pollard KS, Christenson S, Calfee CS, DeRisi JL. Integrating host response and unbiased microbe detection for lower respiratory tract infection diagnosis in critically ill adults. Proc Natl Acad Sci U S A. 2018 Dec 26;115(52):E12353-E12362. doi: 10.1073/pnas.1809700115. Epub 2018 Nov 27.

    PMID: 30482864BACKGROUND
  • Sanderson ND, Swann J, Barker L, Kavanagh J, Hoosdally S, Crook D; GonFast Investigators Group; Street TL, Eyre DW. High precision Neisseria gonorrhoeae variant and antimicrobial resistance calling from metagenomic Nanopore sequencing. Genome Res. 2020 Sep;30(9):1354-1363. doi: 10.1101/gr.262865.120. Epub 2020 Sep 1.

    PMID: 32873606BACKGROUND
  • Rodino KG, Toledano M, Norgan AP, Pritt BS, Binnicker MJ, Yao JD, Aksamit AJ, Patel R. Retrospective Review of Clinical Utility of Shotgun Metagenomic Sequencing Testing of Cerebrospinal Fluid from a U.S. Tertiary Care Medical Center. J Clin Microbiol. 2020 Nov 18;58(12):e01729-20. doi: 10.1128/JCM.01729-20. Print 2020 Nov 18.

    PMID: 32938739BACKGROUND
  • Wu X, Lai T, Jiang J, Ma Y, Tao G, Liu F, Li N. An on-site bacterial detection strategy based on broad-spectrum antibacterial epsilon-polylysine functionalized magnetic nanoparticles combined with a portable fluorometer. Mikrochim Acta. 2019 Jul 10;186(8):526. doi: 10.1007/s00604-019-3632-1.

    PMID: 31292779BACKGROUND
  • Hasan MR, Rawat A, Tang P, Jithesh PV, Thomas E, Tan R, Tilley P. Depletion of Human DNA in Spiked Clinical Specimens for Improvement of Sensitivity of Pathogen Detection by Next-Generation Sequencing. J Clin Microbiol. 2016 Apr;54(4):919-27. doi: 10.1128/JCM.03050-15. Epub 2016 Jan 13.

    PMID: 26763966BACKGROUND
  • Charalampous T, Kay GL, Richardson H, Aydin A, Baldan R, Jeanes C, Rae D, Grundy S, Turner DJ, Wain J, Leggett RM, Livermore DM, O'Grady J. Nanopore metagenomics enables rapid clinical diagnosis of bacterial lower respiratory infection. Nat Biotechnol. 2019 Jul;37(7):783-792. doi: 10.1038/s41587-019-0156-5. Epub 2019 Jun 24.

    PMID: 31235920BACKGROUND
  • Ji XC, Zhou LF, Li CY, Shi YJ, Wu ML, Zhang Y, Fei XF, Zhao G. Reduction of Human DNA Contamination in Clinical Cerebrospinal Fluid Specimens Improves the Sensitivity of Metagenomic Next-Generation Sequencing. J Mol Neurosci. 2020 May;70(5):659-666. doi: 10.1007/s12031-019-01472-z. Epub 2020 Jan 31.

    PMID: 32002752BACKGROUND

MeSH Terms

Conditions

Bacterial Infections

Condition Hierarchy (Ancestors)

Bacterial Infections and MycosesInfections

Study Officials

  • Maxim G Bloomfield, MBChB

    Wellington Southern Community Laboratories, Capital and Coast District Health Board

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Maxim G Bloomfield, MBChB

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Model Details: Each patient sample will be divided between standard diagnostic pathways and the mNGS pathway, so each patient will have testing provided by both techniques for direct comparison.
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

April 21, 2021

First Posted

April 29, 2021

Study Start

May 1, 2021

Primary Completion

May 1, 2022

Study Completion

May 1, 2022

Last Updated

August 2, 2021

Record last verified: 2021-07

Data Sharing

IPD Sharing
Will not share

No plans at this stage.

Locations