Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers

Background: Accurate identification of primary pathogens in foot infections remains challenging due to the diverse microbiome. Conventional culture may show false-positive or false-negative growth, leading to ineffective postoperative antibiotic treatment. Next-generation sequencing (NGS) has been e...

Full description

Bibliographic Details
Main Authors: Yoonjung Choi BA, Eimi Oda BS, Olivia Waldman BS, Thomas Sajda MD, PhD, Christopher Beck PhD, Irvin Oh MD
Format: Article
Language:English
Published: SAGE Publishing 2021-07-01
Series:Foot & Ankle Orthopaedics
Online Access:https://doi.org/10.1177/24730114211026933
id doaj-717abb828dd04390b3ed09fc0a6ead15
record_format Article
spelling doaj-717abb828dd04390b3ed09fc0a6ead152021-07-12T22:03:37ZengSAGE PublishingFoot & Ankle Orthopaedics2473-01142021-07-01610.1177/24730114211026933Next-Generation Sequencing for Pathogen Identification in Infected Foot UlcersYoonjung Choi BA0Eimi Oda BS1Olivia Waldman BS2Thomas Sajda MD, PhD3Christopher Beck PhD4Irvin Oh MD5 Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, CT, USABackground: Accurate identification of primary pathogens in foot infections remains challenging due to the diverse microbiome. Conventional culture may show false-positive or false-negative growth, leading to ineffective postoperative antibiotic treatment. Next-generation sequencing (NGS) has been explored as an alternative to standard culture in orthopedic infections. NGS is highly sensitive and can detect an entire bacterial genome along with genes conferring antibiotic resistance in a given sample. We investigated the potential use of NGS for accurate identification and quantification of microbes in infected diabetic foot ulcer (DFU). We hypothesize that NGS will aid identification of dominant pathogen and provide a more complete profile of microorganisms in infected DFUs compared to the standard culture method. Methods: Data were prospectively collected from 30 infected DFU patients who underwent operative treatment by a fellowship-trained orthopedic foot and ankle surgeon from October 2018 to September 2019. The average age of the patient was 60.4 years. Operative procedures performed were irrigation and debridement (12), toe or ray amputation (13), calcanectomies (4), and below-the-knee amputation (1). Infected bone specimens were obtained intraoperatively and processed for standard culture and NGS. Concordance between the standard culture and NGS was assessed. Results: In 29 of 30 patients, pathogens were identified by both NGS and culture, with a concordance rate of 70%. In standard culture, Staphylococcus aureus (58.6%) was the most common pathogen, followed by coagulase-negative Staphylococcus (24.1%), Corynebacterium striatum (17.2%), and Enterococcus faecalis (17.2%). In NGS, Finegoldia magna (44.8%) was the most common microorganism followed by S. aureus (41.4%), and Anaerococcus vaginalis (24.1%). On average, NGS revealed 5.1 (range, 1-11) pathogens in a given sample, whereas culture revealed 2.6 (range, 1-6) pathogens. Conclusion: NGS is an emerging molecular diagnostic method of microbial identification in orthopedic infection. It frequently provides different profiles of microorganisms along with antibiotic-resistant gene information compared to conventional culture in polymicrobial foot infection. Clinical use of NGS for management of foot and ankle infections warrants further investigation. Level of Evidence: Level II, diagnostic study.https://doi.org/10.1177/24730114211026933
collection DOAJ
language English
format Article
sources DOAJ
author Yoonjung Choi BA
Eimi Oda BS
Olivia Waldman BS
Thomas Sajda MD, PhD
Christopher Beck PhD
Irvin Oh MD
spellingShingle Yoonjung Choi BA
Eimi Oda BS
Olivia Waldman BS
Thomas Sajda MD, PhD
Christopher Beck PhD
Irvin Oh MD
Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers
Foot & Ankle Orthopaedics
author_facet Yoonjung Choi BA
Eimi Oda BS
Olivia Waldman BS
Thomas Sajda MD, PhD
Christopher Beck PhD
Irvin Oh MD
author_sort Yoonjung Choi BA
title Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers
title_short Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers
title_full Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers
title_fullStr Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers
title_full_unstemmed Next-Generation Sequencing for Pathogen Identification in Infected Foot Ulcers
title_sort next-generation sequencing for pathogen identification in infected foot ulcers
publisher SAGE Publishing
series Foot & Ankle Orthopaedics
issn 2473-0114
publishDate 2021-07-01
description Background: Accurate identification of primary pathogens in foot infections remains challenging due to the diverse microbiome. Conventional culture may show false-positive or false-negative growth, leading to ineffective postoperative antibiotic treatment. Next-generation sequencing (NGS) has been explored as an alternative to standard culture in orthopedic infections. NGS is highly sensitive and can detect an entire bacterial genome along with genes conferring antibiotic resistance in a given sample. We investigated the potential use of NGS for accurate identification and quantification of microbes in infected diabetic foot ulcer (DFU). We hypothesize that NGS will aid identification of dominant pathogen and provide a more complete profile of microorganisms in infected DFUs compared to the standard culture method. Methods: Data were prospectively collected from 30 infected DFU patients who underwent operative treatment by a fellowship-trained orthopedic foot and ankle surgeon from October 2018 to September 2019. The average age of the patient was 60.4 years. Operative procedures performed were irrigation and debridement (12), toe or ray amputation (13), calcanectomies (4), and below-the-knee amputation (1). Infected bone specimens were obtained intraoperatively and processed for standard culture and NGS. Concordance between the standard culture and NGS was assessed. Results: In 29 of 30 patients, pathogens were identified by both NGS and culture, with a concordance rate of 70%. In standard culture, Staphylococcus aureus (58.6%) was the most common pathogen, followed by coagulase-negative Staphylococcus (24.1%), Corynebacterium striatum (17.2%), and Enterococcus faecalis (17.2%). In NGS, Finegoldia magna (44.8%) was the most common microorganism followed by S. aureus (41.4%), and Anaerococcus vaginalis (24.1%). On average, NGS revealed 5.1 (range, 1-11) pathogens in a given sample, whereas culture revealed 2.6 (range, 1-6) pathogens. Conclusion: NGS is an emerging molecular diagnostic method of microbial identification in orthopedic infection. It frequently provides different profiles of microorganisms along with antibiotic-resistant gene information compared to conventional culture in polymicrobial foot infection. Clinical use of NGS for management of foot and ankle infections warrants further investigation. Level of Evidence: Level II, diagnostic study.
url https://doi.org/10.1177/24730114211026933
work_keys_str_mv AT yoonjungchoiba nextgenerationsequencingforpathogenidentificationininfectedfootulcers
AT eimiodabs nextgenerationsequencingforpathogenidentificationininfectedfootulcers
AT oliviawaldmanbs nextgenerationsequencingforpathogenidentificationininfectedfootulcers
AT thomassajdamdphd nextgenerationsequencingforpathogenidentificationininfectedfootulcers
AT christopherbeckphd nextgenerationsequencingforpathogenidentificationininfectedfootulcers
AT irvinohmd nextgenerationsequencingforpathogenidentificationininfectedfootulcers
_version_ 1721306836273987584