Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles
BackgroundThe objective of this study is to utilize metagenomic next-generation sequencing (mNGS) to analyze the risk factors causing negative microbial cultures, comprehensively delineate the microbial profiles neglected by traditional cultures, and optimize the pathogenetic diagnostic procedure ac...
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| Format: | Article |
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Cellular and Infection Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2024.1457639/full |
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| author | Haiqi Ding Haiqi Ding Haiqi Ding Haiqi Ding Jiexin Huang Lan Lin Lan Lin Lan Lin Yang Chen Yang Chen Yang Chen Qijin Wang Wenbo Li Wenbo Li Wenbo Li Ying Huang Ying Huang Ying Huang Xinyu Fang Xinyu Fang Xinyu Fang Wenming Zhang Wenming Zhang Wenming Zhang |
| author_facet | Haiqi Ding Haiqi Ding Haiqi Ding Haiqi Ding Jiexin Huang Lan Lin Lan Lin Lan Lin Yang Chen Yang Chen Yang Chen Qijin Wang Wenbo Li Wenbo Li Wenbo Li Ying Huang Ying Huang Ying Huang Xinyu Fang Xinyu Fang Xinyu Fang Wenming Zhang Wenming Zhang Wenming Zhang |
| author_sort | Haiqi Ding |
| collection | DOAJ |
| description | BackgroundThe objective of this study is to utilize metagenomic next-generation sequencing (mNGS) to analyze the risk factors causing negative microbial cultures, comprehensively delineate the microbial profiles neglected by traditional cultures, and optimize the pathogenetic diagnostic procedure accordingly.Research design and methodsWe enrolled 341 patients diagnosed with OI at our center between 2016 and 2022, and gathered data including age, gender, clinical diagnosis, duration of antibiotic use prior to sampling, microbial culture results, and mNGS results for these patients. According to microbial detection results, risk factors for negative microbial culture and mNGS results were investigated through univariate and multivariate analyses, and the microbial profile in cases with negative microbial cultures was summarized in conjunction with mNGS results. Building upon this, we suggest strategies to enhance the positivity rate of microbial cultures based on clinical experience.ResultsInvasive osteoarticular infection (IOI), multi-infections, rare pathogen infections, and prior antibiotic use are risk factors for negative microbial cultures. When the duration of prior antibiotic use is ≥3 days, mNGS demonstrates significantly higher pathogen detection efficiency than microbial culture. Moreover, the risk of negative microbial culture increases by 4.8 times with the exposure to each additional risk factor (OR=4.043, 95%CI [2.835, 5.765], P<0.001). Additionally, over one-third of culture-negative OI involve polymicrobial infections or rare pathogens.ConclusionsClinicians should tailor microbial culture strategies based on patient conditions. When needed, they can collaborate with mNGS or optimize microbial culture conditions based on mNGS results to enhance the efficiency of pathogen diagnosis. |
| format | Article |
| id | doaj-art-50a0d53d5db24b1094590c678fffc099 |
| institution | Kabale University |
| issn | 2235-2988 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj-art-50a0d53d5db24b1094590c678fffc0992024-11-25T06:23:53ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882024-11-011410.3389/fcimb.2024.14576391457639Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profilesHaiqi Ding0Haiqi Ding1Haiqi Ding2Haiqi Ding3Jiexin Huang4Lan Lin5Lan Lin6Lan Lin7Yang Chen8Yang Chen9Yang Chen10Qijin Wang11Wenbo Li12Wenbo Li13Wenbo Li14Ying Huang15Ying Huang16Ying Huang17Xinyu Fang18Xinyu Fang19Xinyu Fang20Wenming Zhang21Wenming Zhang22Wenming Zhang23Fuzhou University Affiliated Provincial Hospital, School of Medicine, Fuzhou University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopedic Surgery, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopedics, Affiliated Mindong Hospital of Fujian Medical University, Ningde, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Orthopaedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaFujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaBackgroundThe objective of this study is to utilize metagenomic next-generation sequencing (mNGS) to analyze the risk factors causing negative microbial cultures, comprehensively delineate the microbial profiles neglected by traditional cultures, and optimize the pathogenetic diagnostic procedure accordingly.Research design and methodsWe enrolled 341 patients diagnosed with OI at our center between 2016 and 2022, and gathered data including age, gender, clinical diagnosis, duration of antibiotic use prior to sampling, microbial culture results, and mNGS results for these patients. According to microbial detection results, risk factors for negative microbial culture and mNGS results were investigated through univariate and multivariate analyses, and the microbial profile in cases with negative microbial cultures was summarized in conjunction with mNGS results. Building upon this, we suggest strategies to enhance the positivity rate of microbial cultures based on clinical experience.ResultsInvasive osteoarticular infection (IOI), multi-infections, rare pathogen infections, and prior antibiotic use are risk factors for negative microbial cultures. When the duration of prior antibiotic use is ≥3 days, mNGS demonstrates significantly higher pathogen detection efficiency than microbial culture. Moreover, the risk of negative microbial culture increases by 4.8 times with the exposure to each additional risk factor (OR=4.043, 95%CI [2.835, 5.765], P<0.001). Additionally, over one-third of culture-negative OI involve polymicrobial infections or rare pathogens.ConclusionsClinicians should tailor microbial culture strategies based on patient conditions. When needed, they can collaborate with mNGS or optimize microbial culture conditions based on mNGS results to enhance the efficiency of pathogen diagnosis.https://www.frontiersin.org/articles/10.3389/fcimb.2024.1457639/fullosteoarticular infectionnegative microbiological culturesmetagenomic next-generation sequencingrisk factorspathogen diagnosis |
| spellingShingle | Haiqi Ding Haiqi Ding Haiqi Ding Haiqi Ding Jiexin Huang Lan Lin Lan Lin Lan Lin Yang Chen Yang Chen Yang Chen Qijin Wang Wenbo Li Wenbo Li Wenbo Li Ying Huang Ying Huang Ying Huang Xinyu Fang Xinyu Fang Xinyu Fang Wenming Zhang Wenming Zhang Wenming Zhang Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles Frontiers in Cellular and Infection Microbiology osteoarticular infection negative microbiological cultures metagenomic next-generation sequencing risk factors pathogen diagnosis |
| title | Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles |
| title_full | Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles |
| title_fullStr | Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles |
| title_full_unstemmed | Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles |
| title_short | Shedding light on negative cultures in osteoarticular infections: leveraging mNGS to unravel risk factors and microbial profiles |
| title_sort | shedding light on negative cultures in osteoarticular infections leveraging mngs to unravel risk factors and microbial profiles |
| topic | osteoarticular infection negative microbiological cultures metagenomic next-generation sequencing risk factors pathogen diagnosis |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2024.1457639/full |
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