Simone N Zwicky, Daniel Spari, Daniel Rodjakovic, Hugo Guillen-Ramirez, Bahtiyar Yilmaz, Guido Beldi
{"title":"术前肠特征预测腹部手术后手术部位感染。","authors":"Simone N Zwicky, Daniel Spari, Daniel Rodjakovic, Hugo Guillen-Ramirez, Bahtiyar Yilmaz, Guido Beldi","doi":"10.1093/ofid/ofaf549","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The relationship between preoperative intestinal microbiota composition and the development of surgical site infections (SSIs) following abdominal surgery is not well understood. The aim of this study was to characterize the preoperative rectal microbiota using the novel concept of enterosignatures (ESs) in patients undergoing abdominal surgery and assess their association with SSIs.</p><p><strong>Methods: </strong>In this prospective cohort study, preoperative rectal microbiota from 133 patients undergoing elective abdominal surgery was profiled using 16S rRNA sequencing. ESs were calculated using high-quality genus-level taxonomy, simplifying complex microbial compositions into 5 generalizable patterns: <i>Bacteroides-, Firmicutes-, Prevotella-, Bifidobacterium-,</i> or <i>Escherichia</i>-dominated profiles.</p><p><strong>Results: </strong>A total of 519 bacterial species were identified within the 133 patients. The <i>Firmicutes</i> ES was found to be a significant risk factor for SSIs, while the <i>Prevotella</i> ES was associated with a reduced risk of SSIs. Combining these into the <i>Firmicutes</i>-to-<i>Prevotella</i> ES ratio (ES-Firm-Prev ratio) yielded a stronger association with SSIs (noSSI: median [interquartile range {IQR}] log ES-Firm-Prev ratio, 0.21 [-0.43 to 1.33]; vs SSI: median [IQR] log ES-Firm-Prev ratio, 8.24 [2.17 to 8.5]; <i>P</i> = .001). Machine learning and logistic regression models confirmed the ES-Firm-Prev ratio to be a significant, independant predictor of SSIs (odds ratio, 1.35; 95% CI, 1.09-1.66; <i>P</i> = .005).</p><p><strong>Conclusions: </strong>The ES-Firm-Prev ratio is a robust, independent predictor of SSIs in patients undergoing abdominal surgery and may serve as a novel biomarker to identify high-risk patients preoperatively.</p>","PeriodicalId":19517,"journal":{"name":"Open Forum Infectious Diseases","volume":"12 9","pages":"ofaf549"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12456171/pdf/","citationCount":"0","resultStr":"{\"title\":\"Preoperative Enterosignatures Predict Surgical Site Infections After Abdominal Surgery.\",\"authors\":\"Simone N Zwicky, Daniel Spari, Daniel Rodjakovic, Hugo Guillen-Ramirez, Bahtiyar Yilmaz, Guido Beldi\",\"doi\":\"10.1093/ofid/ofaf549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The relationship between preoperative intestinal microbiota composition and the development of surgical site infections (SSIs) following abdominal surgery is not well understood. The aim of this study was to characterize the preoperative rectal microbiota using the novel concept of enterosignatures (ESs) in patients undergoing abdominal surgery and assess their association with SSIs.</p><p><strong>Methods: </strong>In this prospective cohort study, preoperative rectal microbiota from 133 patients undergoing elective abdominal surgery was profiled using 16S rRNA sequencing. ESs were calculated using high-quality genus-level taxonomy, simplifying complex microbial compositions into 5 generalizable patterns: <i>Bacteroides-, Firmicutes-, Prevotella-, Bifidobacterium-,</i> or <i>Escherichia</i>-dominated profiles.</p><p><strong>Results: </strong>A total of 519 bacterial species were identified within the 133 patients. The <i>Firmicutes</i> ES was found to be a significant risk factor for SSIs, while the <i>Prevotella</i> ES was associated with a reduced risk of SSIs. Combining these into the <i>Firmicutes</i>-to-<i>Prevotella</i> ES ratio (ES-Firm-Prev ratio) yielded a stronger association with SSIs (noSSI: median [interquartile range {IQR}] log ES-Firm-Prev ratio, 0.21 [-0.43 to 1.33]; vs SSI: median [IQR] log ES-Firm-Prev ratio, 8.24 [2.17 to 8.5]; <i>P</i> = .001). Machine learning and logistic regression models confirmed the ES-Firm-Prev ratio to be a significant, independant predictor of SSIs (odds ratio, 1.35; 95% CI, 1.09-1.66; <i>P</i> = .005).</p><p><strong>Conclusions: </strong>The ES-Firm-Prev ratio is a robust, independent predictor of SSIs in patients undergoing abdominal surgery and may serve as a novel biomarker to identify high-risk patients preoperatively.</p>\",\"PeriodicalId\":19517,\"journal\":{\"name\":\"Open Forum Infectious Diseases\",\"volume\":\"12 9\",\"pages\":\"ofaf549\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12456171/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Forum Infectious Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ofid/ofaf549\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Forum Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ofid/ofaf549","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Preoperative Enterosignatures Predict Surgical Site Infections After Abdominal Surgery.
Background: The relationship between preoperative intestinal microbiota composition and the development of surgical site infections (SSIs) following abdominal surgery is not well understood. The aim of this study was to characterize the preoperative rectal microbiota using the novel concept of enterosignatures (ESs) in patients undergoing abdominal surgery and assess their association with SSIs.
Methods: In this prospective cohort study, preoperative rectal microbiota from 133 patients undergoing elective abdominal surgery was profiled using 16S rRNA sequencing. ESs were calculated using high-quality genus-level taxonomy, simplifying complex microbial compositions into 5 generalizable patterns: Bacteroides-, Firmicutes-, Prevotella-, Bifidobacterium-, or Escherichia-dominated profiles.
Results: A total of 519 bacterial species were identified within the 133 patients. The Firmicutes ES was found to be a significant risk factor for SSIs, while the Prevotella ES was associated with a reduced risk of SSIs. Combining these into the Firmicutes-to-Prevotella ES ratio (ES-Firm-Prev ratio) yielded a stronger association with SSIs (noSSI: median [interquartile range {IQR}] log ES-Firm-Prev ratio, 0.21 [-0.43 to 1.33]; vs SSI: median [IQR] log ES-Firm-Prev ratio, 8.24 [2.17 to 8.5]; P = .001). Machine learning and logistic regression models confirmed the ES-Firm-Prev ratio to be a significant, independant predictor of SSIs (odds ratio, 1.35; 95% CI, 1.09-1.66; P = .005).
Conclusions: The ES-Firm-Prev ratio is a robust, independent predictor of SSIs in patients undergoing abdominal surgery and may serve as a novel biomarker to identify high-risk patients preoperatively.
期刊介绍：
Open Forum Infectious Diseases provides a global forum for the publication of clinical, translational, and basic research findings in a fully open access, online journal environment. The journal reflects the broad diversity of the field of infectious diseases, and focuses on the intersection of biomedical science and clinical practice, with a particular emphasis on knowledge that holds the potential to improve patient care in populations around the world. Fully peer-reviewed, OFID supports the international community of infectious diseases experts by providing a venue for articles that further the understanding of all aspects of infectious diseases.
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