Prospective, multicenter, national, observational pharmacological study on the evaluation of efficacy of appropriate monotherapy vs combination treatment for non-complicated Enterococcus faecalis (EF) bloodstream infection (BSI) and identification of gut microbiota fingerprint of patients with EF-BSI correlated to antimicrobial treatment and clinical outcome
Enterococcus faecalis (EF) is a common commensal of human gastrointestinal tract that can act as opportunistic pathogen causing mild to severe clinical illness. Severe infections due to EF include bacteremia, endocarditis and catheter-related infections. EF is the fourth causative pathogen of bloodstream infection (BSI) in Europe after E. coli, S. aureus and S. pneumoniae. The incidence of infections caused by E. faecalis has increased over the last decades probably as a consequence of the global aging of the population. EF-BSI is associated to a high mortality rate (11-26% of cases).The main factors that may contribute to short-term mortality are the number of comorbidities, the need of admission in intensive care unit and the prompt administration of appropriate antibiotic treatment. The optimal treatment of EF-BSI uncomplicated with endocarditis is still a matter of debate. Ampicillin is commonly considered the drug of choice, when active in vitro. However, several studies demonstrated the synergistic effect of the combination treatment with an aminoglycosides or ceftriaxone in case of life-threatening infections. To date the efficacy of the combination treatment in patients with EF-BSI was poorly evaluated in clinical studies and most of the data come from very old uncontrolled clinical observations. One strategy for overcoming this uncertainty is to assess the synergistic interaction of different antimicrobial molecules by in vitro tests and to validate in vitro synergisms with clinical studies. Indeed, in vitro evaluation of the drug combination effect has the potentiality for improving treatment by suggesting the possible synergistic or antagonistic interaction of antimicrobial associations. Although, different studies suggested the potential clinical utility of synergy testing, the real prognostic value of these methods is not defined yet. In this context, synergy testing could be used as strategy for improving antibiotic treatment of EF-BSI by suggesting the optimal antimicrobial combination therapy. Ceftaroline and ceftobiprole are two novel cephalosporins, which exhibit intrinsic activity against methicillin-resistant S. aureus. Both drugs seem to show a good level of affinity to penicillin binding protein (PBP) 5, a class B, commonly expressed by Enterococcus spp. The use of these drugs in association with ampicillin or daptomycin seems promising. However, clinical efficacy of these combinations is not well defined yet. Gut microbiota of healthy individual is composed by a consortium of bacteria balanced by symbiotic or antagonistic relationships. Antimicrobial treatments altered this equilibrium conferring competitive advantage for different species, including host pathogens. Disruption of the balance in the gut microbial composition has been associated to different pathological conditions (metabolic disease, type 2 diabetes, colorectal cancer or inflammatory bowel disease). Also, administration of antimicrobials contributes to increase resistome in the intestinal microbiota and diffusion of antimicrobialresistant pathogens through selective pressure. The central objective of this study is to identify the gut microbiota signature associated to different antimicrobial therapy of EF-BSI and to clinically validate novel diagnostic tools for optimizing antimicrobial therapy in critically ill patients. The primary aim of the study is to compare efficacy of appropriate monotherapy vs combination treatment for EF-BSI and validate clinically the in vitro synergistic/antagonistic interaction of antimicrobial combinations by synergy tests. Secondary objectives are: * To define the prognostic and predictive value of EF genotypic and phenotypic traits on the basis of antimicrobial treatment and clinical outcome * To compare gut microbiota fingerprint of patients with EF-BSI and correlate to antimicrobial treatment and clinical outcome
Study Type
OBSERVATIONAL
Enrollment
510
Ospedale Maggiore "Carlo Alberto Pizzardi" di Bologna
Bologna, Bologna, Italy
RECRUITINGIRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Bologna, Italy
RECRUITINGAzienda Ospedaliero Universitaria di Catanzaro "Mater Domini"
Catanzaro, Catanzaro, Italy
RECRUITINGHumanitas Research Hospital
Milan, Milano, Italy
RECRUITINGEvaluation of Clinical Cure and Improvement Rates for EF-BSI
The clinical cure and improvement rates will be evaluated for patients undergoing mono therapy and combination therapy for EF-BSI.
Time frame: Up to 6 weeks from patient enrollment, with bacterial strains isolated at baseline
Comparison of Clinical Outcomes Between Mono Therapy and Combination Therapy
A comparison of clinical outcomes between mono therapy and combination therapy in terms of clinical cure, improvement, and any adverse events.
Time frame: Up to 6 weeks from patient enrollment, with bacterial strains isolated at baseline
Validation of In Vitro Synergy Tests
To validate the in vitro synergy or antagonism of antimicrobial combinations tested in the laboratory, correlating these results with clinical outcomes. In vitro synergy tests will be conducted to evaluate the interaction between antimicrobial combinations, and the results of these tests will be correlated with the clinical outcomes of the patients.
Time frame: Up to 6 weeks from patient enrollment, with bacterial strains isolated at baseline
Genotypic Analysis of E. faecalis
To explore how the genotypic (e.g., resistance and virulence genes) and phenotypic traits of E. faecalis strains influence infection severity, antimicrobial treatment response, and clinical outcomes. Define the prognostic and predictive value of these genotypic and phenotypic traits based on antimicrobial treatment and clinical outcomes. Genomic analyses will be conducted to identify antimicrobial resistance determinants, clonal relationships through multilocus sequence typing (MLST), and virulence factor genes for To explore how the genotypic traits (e.g., antimicrobial resistance and virulence genes) of E. faecalis strains influence infection severity, antimicrobial treatment response, and clinical outcomes. Weekly genomic analyses will be conducted to identify antimicrobial resistance determinants, clonal relationships through multilocus sequence typing (MLST), and virulence factor genes for each E. faecalis genome.
Time frame: From enrollment to the end of the follow-up at three months
Phylogenetic Relationship and Clonal Diversity
A phylogenetic tree will be constructed based on the core genome of clinical E. faecalis isolates. This will allow the identification of clonal relationships and shared genetic factors among the strains. A deeper genetic analysis will also be performed to explore genetic factors that may influence infection outcomes.
Time frame: From enrollment to the end of the follow-up at three months
Correlation Between Genotypic/Phenotypic Traits and Clinical Outcome
The prognostic and predictive value of the genotypic (e.g., resistance and virulence genes) and phenotypic traits of E. faecalis will be defined in relation to antimicrobial treatment and clinical outcomes. A comprehensive E. faecalis genomic database will be created to correlate these traits with infection severity, antimicrobial treatment, and clinical outcomes. The correlation will be explored through weekly genomic analyses and clinical data review.
Time frame: From enrollment to the end of the follow-up at three months
Gut Microbiota Fingerprint Analysis in EF-BSI Patients
To compare the gut microbiota fingerprint of patients with E. faecalis bloodstream infections (EF-BSI) and correlate it with antimicrobial treatment and clinical outcomes. Faecal samples will be collected during antimicrobial therapy and 90 days after therapy withdrawal. These samples will be analyzed for 16S rRNA and the relative microbial composition. Clinical conditions, diet, infection relapse after therapy withdrawal, and their correlation with antimicrobial treatment and faecal abundance will also be evaluated.
Time frame: From enrollment to the end of the follow-up at three months
Intestinal Microbiota Composition and Its Correlation with Treatment Outcomes
To evaluate the relationship between antimicrobial treatment, gut microbiota composition, and clinical outcomes (such as infection relapse, health status, or disease progression). Faecal samples will be collected from patients with EF-BSI treated with different antimicrobial therapies. These samples will be analyzed for 16S rRNA and relative microbial abundance. The clinical conditions, diet, infection relapse after therapy withdrawal, and their correlation with antimicrobial treatment and faecal abundance will also be assessed.
Time frame: From enrollment to the end of the follow-up at three months
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