Novel Colorimetric and Light Scatter Methods to Identify and Manage Peritoneal Dialysis-Associated Peritonitis at the Point-of-Care.

diagnosis leukocyte peritoneal dialysis peritonitis

Journal

Kidney international reports
ISSN: 2468-0249
Titre abrégé: Kidney Int Rep
Pays: United States
ID NLM: 101684752

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 13 12 2023
accepted: 21 12 2023
medline: 14 3 2024
pubmed: 14 3 2024
entrez: 14 3 2024
Statut: epublish

Résumé

Peritoneal dialysis (PD)-related peritonitis (PDRP) is a common cause of transfer to hemodialysis, patient morbidity, and is a risk factor for mortality. Associated patient anxiety can deter selection of PD for renal replacement therapy. Diagnosis relies on hospital laboratory tests; however, this might be achieved earlier if such information was available at the point-of-care (POC), thereby significantly improving outcomes. The presence of culturable microbes and the concentration of leukocytes in effluent both aid peritonitis diagnosis, as specified in the International Society for Peritoneal Dialysis (ISPD) diagnostic guidelines. Here, we report the development of 2 new methods providing such information in simple POC tests. One approach uses a tetrazolium-based chemical reporting system, primarily focused on detecting bacterial contamination and associated vancomycin-sensitivity. The second approach uses a novel forward light-scatter device (QuickCheck) to provide an instant quantitative cell count directly from PD patient effluent. The tetrazolium approach detected and correctly distinguished laboratory isolates, taking 10 hours to provide non-quantitative results. We compared the technical performance of the light scatter leukocyte counting approach with spectrophotometry, hemocytometer counting and flow cytometry (Sysmex) using patient effluent samples. QuickCheck had high accuracy (94%) and was the most precise (coefficient of variation <4%), showing minimal bias, overall performing similarly to flow cytometry. These complementary new approaches provide a simple means to obtain information to assist diagnosis at the POC. The first provides antibiotic sensitivity following 10 hours incubation, whereas the second optical approach (QuickCheck), provides instant accurate total leukocyte count.

Identifiants

pubmed: 38481507
doi: 10.1016/j.ekir.2023.12.021
pii: S2468-0249(23)01644-3
pmc: PMC10927466
doi:

Banques de données

figshare
['10.6084/m9.figshare.24211428']

Types de publication

Journal Article

Langues

eng

Pagination

589-600

Informations de copyright

© 2024 International Society of Nephrology. Published by Elsevier Inc.

Auteurs

Nishal Govindji-Bhatt (N)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Stephnie M Kennedy (SM)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Michael G Barker (MG)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Darren Kell (D)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Duncan Henderson (D)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Nicholas Goddard (N)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Ana Yepes Garcia (AY)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Adam S Milner (AS)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Tom Willett (T)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Ryan Griffiths (R)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Peter Foster (P)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

William Kilgallon (W)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.

Rachel Cant (R)

Division of Pharmacy and Optometry, School of Health Sciences, The University of Manchester, Manchester, UK.
Division of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.

Christopher G Knight (CG)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.
Department of Earth and Environmental Sciences, School of Natural Sciences, The University of Manchester, Manchester, UK.

David Lewis (D)

Salford Royal NHS Foundation Trust, Salford, UK.

Richard Corbett (R)

Imperial College Healthcare NHS Trust, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.

Habib Akbani (H)

Bradford Teaching Hospitals NHS Foundation Trust, St Luke's Hospital, Bradford, UK.

Graham Woodrow (G)

Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.

Bhrigu Sood (B)

Epsom and St Helier Hospitals NHS Trust, Surrey, UK.

Osasuyi Iyasere (O)

John Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.

Simon Davies (S)

University Hospital of North Midlands NHS Trust, Stoke-on-Trent, UK.

Junaid Qazi (J)

Manchester University NHS Foundation Trust, Manchester UK.

Anand Vardhan (A)

Manchester University NHS Foundation Trust, Manchester UK.

Laura Gillis (L)

Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Martin Wilkie (M)

Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Curtis B Dobson (CB)

Microbiosensor Ltd., The Incubator Building, Manchester, UK.
Division of Pharmacy and Optometry, School of Health Sciences, The University of Manchester, Manchester, UK.

Classifications MeSH