Dysbiosis of the gut microbiota is associated with in-hospital mortality in patients with antibiotic-associated diarrhoea: A metagenomic analysis

•The presence of C. difficile in the gut microbiota wasn't related with mortality in patients with AAD.•Patients' mortality correlated with specific microbial genera abundance, not α-diversity.•High abundances of Enterococcus, Klebsiella, Corynebacterium, Pseudomonas, and Anaerofustis corr...

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Veröffentlicht in:International journal of antimicrobial agents 2024-11, Vol.64 (5), p.107330, Article 107330
Hauptverfasser: Choi, Min Hyuk, Kim, Dokyun, Lee, Kyoung Hwa, Kim, Hyeon Jin, Sul, Woo Jun, Jeong, Seok Hoon
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container_issue 5
container_start_page 107330
container_title International journal of antimicrobial agents
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creator Choi, Min Hyuk
Kim, Dokyun
Lee, Kyoung Hwa
Kim, Hyeon Jin
Sul, Woo Jun
Jeong, Seok Hoon
description •The presence of C. difficile in the gut microbiota wasn't related with mortality in patients with AAD.•Patients' mortality correlated with specific microbial genera abundance, not α-diversity.•High abundances of Enterococcus, Klebsiella, Corynebacterium, Pseudomonas, and Anaerofustis correlated with subsequent infections and high mortality.•Low abundances of Bifidobacterium, Bacteroides, Streptococcus, Faecalibacterium, and Dorea associated with poor outcomes.•AMR genes against vancomycin were independently associated with mortality. The increasing incidence of antibiotic-associated diarrhoea (AAD) is a serious health care problem. Dysbiosis of the gut microbiota is suspected to play a role in the pathogenesis of AAD, but its impact on the clinical outcomes of patients remains unclear. Between May and October 2022, 210 patients with AAD admitted to a university hospital and 100 healthy controls were recruited. DNA extraction from stool specimens and shotgun sequencing were performed. Machine learning was conducted to assess profiling at different taxonomic levels and to select variables for multivariable analyses. Patients were classified into two groups: Clostridioides difficile infection (CDI, n = 39) and non-CDI AAD (n = 171). The in-hospital mortality rate for the patients was 20.0%, but the presence of C. difficile in the gut microbiota was not associated with mortality. Machine learning showed that taxonomic profiling at the genus level best reflected patient prognosis. The in-hospital mortality of patients was associated with the relative abundance of specific gut microbial genera rather than alpha-diversity: each of the five genera correlated either positively (Enterococcus, Klebsiella, Corynebacterium, Pseudomonas, and Anaerofustis) or negatively (Bifidobacterium, Bacteroides, Streptococcus, Faecalibacterium, and Dorea). Genes for vancomycin resistance were significantly associated with in-hospital mortality in patients with AAD (adjusted hazard ratios, 2.45; 95% CI, 1.20–4.99). This study demonstrates the potential utility of metagenomic studies of the gut microbial community as a biomarker for prognosis prediction in AAD patients. [Display omitted]
doi_str_mv 10.1016/j.ijantimicag.2024.107330
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The increasing incidence of antibiotic-associated diarrhoea (AAD) is a serious health care problem. Dysbiosis of the gut microbiota is suspected to play a role in the pathogenesis of AAD, but its impact on the clinical outcomes of patients remains unclear. Between May and October 2022, 210 patients with AAD admitted to a university hospital and 100 healthy controls were recruited. DNA extraction from stool specimens and shotgun sequencing were performed. Machine learning was conducted to assess profiling at different taxonomic levels and to select variables for multivariable analyses. Patients were classified into two groups: Clostridioides difficile infection (CDI, n = 39) and non-CDI AAD (n = 171). The in-hospital mortality rate for the patients was 20.0%, but the presence of C. difficile in the gut microbiota was not associated with mortality. Machine learning showed that taxonomic profiling at the genus level best reflected patient prognosis. The in-hospital mortality of patients was associated with the relative abundance of specific gut microbial genera rather than alpha-diversity: each of the five genera correlated either positively (Enterococcus, Klebsiella, Corynebacterium, Pseudomonas, and Anaerofustis) or negatively (Bifidobacterium, Bacteroides, Streptococcus, Faecalibacterium, and Dorea). Genes for vancomycin resistance were significantly associated with in-hospital mortality in patients with AAD (adjusted hazard ratios, 2.45; 95% CI, 1.20–4.99). This study demonstrates the potential utility of metagenomic studies of the gut microbial community as a biomarker for prognosis prediction in AAD patients. 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The increasing incidence of antibiotic-associated diarrhoea (AAD) is a serious health care problem. Dysbiosis of the gut microbiota is suspected to play a role in the pathogenesis of AAD, but its impact on the clinical outcomes of patients remains unclear. Between May and October 2022, 210 patients with AAD admitted to a university hospital and 100 healthy controls were recruited. DNA extraction from stool specimens and shotgun sequencing were performed. Machine learning was conducted to assess profiling at different taxonomic levels and to select variables for multivariable analyses. Patients were classified into two groups: Clostridioides difficile infection (CDI, n = 39) and non-CDI AAD (n = 171). The in-hospital mortality rate for the patients was 20.0%, but the presence of C. difficile in the gut microbiota was not associated with mortality. Machine learning showed that taxonomic profiling at the genus level best reflected patient prognosis. The in-hospital mortality of patients was associated with the relative abundance of specific gut microbial genera rather than alpha-diversity: each of the five genera correlated either positively (Enterococcus, Klebsiella, Corynebacterium, Pseudomonas, and Anaerofustis) or negatively (Bifidobacterium, Bacteroides, Streptococcus, Faecalibacterium, and Dorea). Genes for vancomycin resistance were significantly associated with in-hospital mortality in patients with AAD (adjusted hazard ratios, 2.45; 95% CI, 1.20–4.99). This study demonstrates the potential utility of metagenomic studies of the gut microbial community as a biomarker for prognosis prediction in AAD patients. [Display omitted]</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>39244165</pmid><doi>10.1016/j.ijantimicag.2024.107330</doi><orcidid>https://orcid.org/0000-0001-9801-9874</orcidid><orcidid>https://orcid.org/0000-0001-9290-897X</orcidid></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Anti-Bacterial Agents - adverse effects
Anti-Bacterial Agents - therapeutic use
Antibiotic-associated diarrhoea
Clostridioides difficile
Clostridioides difficile - drug effects
Clostridioides difficile - genetics
Clostridioides difficile - isolation & purification
Clostridium Infections - microbiology
Clostridium Infections - mortality
Diarrhea - microbiology
Diarrhea - mortality
Dysbiosis - microbiology
Feces - microbiology
Female
Gastrointestinal Microbiome - drug effects
Gastrointestinal Microbiome - genetics
Hospital Mortality
Humans
Machine Learning
Male
Metagenomics
Microbiome
Microbiota
Middle Aged
Risk factors
title Dysbiosis of the gut microbiota is associated with in-hospital mortality in patients with antibiotic-associated diarrhoea: A metagenomic analysis
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