The University of Southampton
University of Southampton Institutional Repository

Levels of wound calprotectin and other inflammatory biomarkers aid in deciding which patients with a diabetic foot ulcer need antibiotic therapy (INDUCE study)

Levels of wound calprotectin and other inflammatory biomarkers aid in deciding which patients with a diabetic foot ulcer need antibiotic therapy (INDUCE study)
Levels of wound calprotectin and other inflammatory biomarkers aid in deciding which patients with a diabetic foot ulcer need antibiotic therapy (INDUCE study)
Aims Deciding if a diabetic foot ulcer is infected in a community setting is challenging without validated point-of-care tests. Four inflammatory biomarkers were investigated to develop a composite algorithm for mildly infected diabetic foot ulcers: venous white cell count, C-reactive protein (CRP) and procalcitonin, and a novel wound exudate calprotectin assay. Calprotectin is a marker of neutrophilic inflammation. Methods In a prospective study, people with uninfected or mildly infected diabetic foot ulcers who had not received oral antibiotics in the preceding 2 weeks were recruited from community podiatry clinics for measurement of inflammatory biomarkers. Antibiotic prescribing decisions were based on clinicians? baseline assessments and participants were reviewed 1 week later; ulcer infection was defined by clinicians? overall impression from their two assessments. Results Some 363 potential participants were screened, of whom 67 were recruited, 29 with mildly infected diabetic foot ulcers and 38 with no infection. One participant withdrew early in each group. Ulcer area was 1.32 cm2 [interquartile range (IQR) 0.32?3.61 cm2] in infected ulcers and 0.22 cm2 (IQR 0.09?1.46 cm2) in uninfected ulcers. Baseline CRP for mild infection was 9.00 mg/ml and 6.00 mg/ml for uninfected ulcers; most procalcitonin levels were undetectable. Median calprotectin level in infected diabetic foot ulcers was 1437 ng/ml and 879 ng/ml in uninfected diabetic foot ulcers. Area under the receiver operating characteristic curve for a composite algorithm incorporating calprotectin, CRP, white cell count and ulcer area was 0.68 (95% confidence intervals 0.52?0.82), sensitivity 0.64, specificity 0.81. Conclusions A composite algorithm including CRP, calprotectin, white cell count and ulcer area may help to distinguish uninfected from mildly infected diabetic foot ulcers. Venous procalcitonin is unhelpful for mild diabetic foot ulcer infection.
0742-3071
255-261
Ingram, John
955f9bae-55e5-4feb-a192-e828ecab16dd
Coulman, Elinor
66ef21eb-5960-4c40-89ea-40487d4b9076
Gregory, Clive
5350c250-c2ad-41f2-bd88-c4c815b72aba
Thomas-Jones, Emma
ea15d5ac-8232-4823-ab40-17bec0968520
Francis, Nicholas
9b610883-605c-4fee-871d-defaa86ccf8e
Harding, Keith
8a12284f-19ea-4955-a6f2-0ff71e1d19ee
Hood, Kerenza
af7cf839-ca85-4ea9-83c3-3dd31be88b32
Piguet, Vincent
1a7fc697-331f-45c8-9fe5-f6a813084869
Pickles, Timothy
d6ba6e68-3426-407e-93b2-04b588365fe3
Cannings-John, Rebecca
f45c9562-b1d0-4c6d-9c7c-8f27cd3e47cd
Ingram, John
955f9bae-55e5-4feb-a192-e828ecab16dd
Coulman, Elinor
66ef21eb-5960-4c40-89ea-40487d4b9076
Gregory, Clive
5350c250-c2ad-41f2-bd88-c4c815b72aba
Thomas-Jones, Emma
ea15d5ac-8232-4823-ab40-17bec0968520
Francis, Nicholas
9b610883-605c-4fee-871d-defaa86ccf8e
Harding, Keith
8a12284f-19ea-4955-a6f2-0ff71e1d19ee
Hood, Kerenza
af7cf839-ca85-4ea9-83c3-3dd31be88b32
Piguet, Vincent
1a7fc697-331f-45c8-9fe5-f6a813084869
Pickles, Timothy
d6ba6e68-3426-407e-93b2-04b588365fe3
Cannings-John, Rebecca
f45c9562-b1d0-4c6d-9c7c-8f27cd3e47cd

Ingram, John, Coulman, Elinor, Gregory, Clive, Thomas-Jones, Emma, Francis, Nicholas, Harding, Keith, Hood, Kerenza, Piguet, Vincent, Pickles, Timothy and Cannings-John, Rebecca (2018) Levels of wound calprotectin and other inflammatory biomarkers aid in deciding which patients with a diabetic foot ulcer need antibiotic therapy (INDUCE study). Diabetic Medicine, 35 (2), 255-261. (doi:10.1111/dme.13431).

Record type: Article

Abstract

Aims Deciding if a diabetic foot ulcer is infected in a community setting is challenging without validated point-of-care tests. Four inflammatory biomarkers were investigated to develop a composite algorithm for mildly infected diabetic foot ulcers: venous white cell count, C-reactive protein (CRP) and procalcitonin, and a novel wound exudate calprotectin assay. Calprotectin is a marker of neutrophilic inflammation. Methods In a prospective study, people with uninfected or mildly infected diabetic foot ulcers who had not received oral antibiotics in the preceding 2 weeks were recruited from community podiatry clinics for measurement of inflammatory biomarkers. Antibiotic prescribing decisions were based on clinicians? baseline assessments and participants were reviewed 1 week later; ulcer infection was defined by clinicians? overall impression from their two assessments. Results Some 363 potential participants were screened, of whom 67 were recruited, 29 with mildly infected diabetic foot ulcers and 38 with no infection. One participant withdrew early in each group. Ulcer area was 1.32 cm2 [interquartile range (IQR) 0.32?3.61 cm2] in infected ulcers and 0.22 cm2 (IQR 0.09?1.46 cm2) in uninfected ulcers. Baseline CRP for mild infection was 9.00 mg/ml and 6.00 mg/ml for uninfected ulcers; most procalcitonin levels were undetectable. Median calprotectin level in infected diabetic foot ulcers was 1437 ng/ml and 879 ng/ml in uninfected diabetic foot ulcers. Area under the receiver operating characteristic curve for a composite algorithm incorporating calprotectin, CRP, white cell count and ulcer area was 0.68 (95% confidence intervals 0.52?0.82), sensitivity 0.64, specificity 0.81. Conclusions A composite algorithm including CRP, calprotectin, white cell count and ulcer area may help to distinguish uninfected from mildly infected diabetic foot ulcers. Venous procalcitonin is unhelpful for mild diabetic foot ulcer infection.

This record has no associated files available for download.

More information

Published date: 1 February 2018

Identifiers

Local EPrints ID: 436142
URI: http://eprints.soton.ac.uk/id/eprint/436142
ISSN: 0742-3071
PURE UUID: 570537d7-bfc8-4e9c-ad1f-571f14d79d72
ORCID for Nicholas Francis: ORCID iD orcid.org/0000-0001-8939-7312

Catalogue record

Date deposited: 29 Nov 2019 17:30
Last modified: 17 Mar 2024 03:58

Export record

Altmetrics

Contributors

Author: John Ingram
Author: Elinor Coulman
Author: Clive Gregory
Author: Emma Thomas-Jones
Author: Keith Harding
Author: Kerenza Hood
Author: Vincent Piguet
Author: Timothy Pickles
Author: Rebecca Cannings-John

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×