Literature DB >> 28244218

Improved detection of clinically relevant wound bacteria using autofluorescence image-guided sampling in diabetic foot ulcers.

Kathryn Ottolino-Perry1, Emilie Chamma1, Kristina M Blackmore1, Liis Lindvere-Teene1, Danielle Starr2, Kim Tapang3, Cheryl F Rosen4, Bethany Pitcher5, Tony Panzarella5, Ron Linden3, Ralph S DaCosta1,6,7.   

Abstract

Clinical wound assessment involves microbiological swabbing of wounds to identify and quantify bacterial species, and to determine microbial susceptibility to antibiotics. The Levine swabbing technique may be suboptimal because it samples only the wound bed, missing other diagnostically relevant areas of the wound, which may contain clinically significant bacteria. Thus, there is a clinical need to improve the reliability of microbiological wound sampling. To address this, a handheld portable autofluorescence (AF) imaging device that detects bacteria in real time, without contrast agents, was developed. Here, we report the results of a clinical study evaluating the use of real-time AF imaging to visualise bacteria in and around the wound bed and to guide swabbing during the clinical assessment of diabetic foot ulcers, compared with the Levine technique. We investigated 33 diabetic foot ulcers (n = 31 patients) and found that AF imaging more accurately identified the presence of moderate and/or heavy bacterial load compared with the Levine technique (accuracy 78% versus 52%, P = 0·048; adjusted diagnostic odds ratio 7·67, P < 0·00022 versus 3·07, P = 0·066) and maximised the effectiveness of bacterial load sampling, with no significant impact on clinical workflow. AF imaging may help clinicians better identify the wound areas with clinically significant bacteria, and maximise sampling of treatment-relevant pathogens.
© 2017 Medicalhelplines.com Inc and John Wiley & Sons Ltd.

Entities:  

Keywords:  Autofluorescence imaging; Clinical signs and symptoms; Diabetic foot ulcers; Levine technique; Microbiological sampling

Mesh:

Year:  2017        PMID: 28244218      PMCID: PMC7949847          DOI: 10.1111/iwj.12717

Source DB:  PubMed          Journal:  Int Wound J        ISSN: 1742-4801            Impact factor:   3.315


  33 in total

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4.  Diagnostic validity of three swab techniques for identifying chronic wound infection.

Authors:  Sue E Gardner; Rita A Frantz; Charles L Saltzman; Stephen L Hillis; Heeok Park; Melody Scherubel
Journal:  Wound Repair Regen       Date:  2006 Sep-Oct       Impact factor: 3.617

5.  Handheld fluorescence imaging device detects subclinical wound infection in an asymptomatic patient with chronic diabetic foot ulcer: a case report.

Authors:  Yichao C Wu; Marlie Smith; Ashley Chu; Liis Lindvere-Teene; Danielle Starr; Kim Tapang; Rachel Shekhman; Olive Wong; Ron Linden; Ralph S DaCosta
Journal:  Int Wound J       Date:  2015-04-22       Impact factor: 3.315

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Authors:  Jo M Martin; Jonathan M Zenilman; Gerald S Lazarus
Journal:  J Invest Dermatol       Date:  2010-01       Impact factor: 8.551

Review 7.  Cell biology of wound healing.

Authors:  C J Schaffer; L B Nanney
Journal:  Int Rev Cytol       Date:  1996

8.  The lack of reliability of clinical examination in the diagnosis of wound infection: preliminary communication.

Authors:  Thomas E Serena; Jason R Hanft; Robert Snyder
Journal:  Int J Low Extrem Wounds       Date:  2008-03       Impact factor: 2.057

9.  Point-of-care autofluorescence imaging for real-time sampling and treatment guidance of bioburden in chronic wounds: first-in-human results.

Authors:  Ralph S DaCosta; Iris Kulbatski; Liis Lindvere-Teene; Danielle Starr; Kristina Blackmore; Jason I Silver; Julie Opoku; Yichao Charlie Wu; Philip J Medeiros; Wei Xu; Lizhen Xu; Brian C Wilson; Cheryl Rosen; Ron Linden
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10.  Increased matrix metalloproteinase-9 predicts poor wound healing in diabetic foot ulcers.

Authors:  Yu Liu; Danqing Min; Thyra Bolton; Vanessa Nubé; Stephen M Twigg; Dennis K Yue; Susan V McLennan
Journal:  Diabetes Care       Date:  2008-10-03       Impact factor: 19.112

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6.  The surgical wound in infrared: thermographic profiles and early stage test-accuracy to predict surgical site infection in obese women during the first 30 days after caesarean section.

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Journal:  Antimicrob Resist Infect Control       Date:  2019-01-07       Impact factor: 4.887

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