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Record W3119025039 · doi:10.1093/ofid/ofaa515.1902

LB-5. DAV132 Protects Intestinal Microbiota of Patients Treated with Quinolones, a European Phase II Randomized Controlled Trial (SHIELD)

2020· article· en· W3119025039 on OpenAlexaff
Annie Ducher, Maria J. G. T. Vehreschild, Thomas Louie, Oliver A. Cornely, Céline Féger, Aaron Dane, Marina Varastet, Jean de Gunzburg, Antoine Andremont, France Mentré

Bibliographic record

VenueOpen Forum Infectious Diseases · 2020
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyMoxifloxacinAdverse effectCiprofloxacinLevofloxacinAntibioticsFecesRandomized controlled trialColonisation resistanceMicrobiomeDysbiosisMicrobiologyBiology

Abstract

fetched live from OpenAlex

Abstract Background Antibiotics elicit intestinal dysbiosis with short and long-term deleterious effects. A colon-targeted adsorbent, DAV132, prevents dysbiosis in healthy humans and may protect antibiotic-treated patients. Methods Hospitalized patients receiving oral/iv fluoroquinolones (FQ) for the treatment of or prophylaxis of febrile neutropenia were randomized to receive DAV132 (7.5g tid orally), or not, during FQ receipt and followed up 51d. Plasma FQ levels were assessed at D4 (LC-MS/MS). Feces were collected during and up to 30d after FQ receipt for assessment of free fecal FQ levels (LC-MS/MS), gut microbiome α/β diversity (16S rRNA), resistance to colonization by C. difficile (Cd; ex-vivo proliferation). Relatedness of adverse events (AEs) to drugs was adjudicated by blinded independent experts. Results 243 patients from 23 sites, median age 71y, ≥1 chronic comorbidity 95%, received levofloxacin (43%), ciprofloxacin (40%) or moxifloxacin (18%) for (79% iv). During receipt, fecal FQ levels were lowered by >97% with DAV132 vs. No DAV132 (p< 0.0001), whilst plasma levels did not change significantly. Microbiome diversity was significantly protected with DAV132 using all metrics, e.g. the change from D1 of Shannon index at End-of-FQ (difference of means at End-of-FQ 0.42, 95% CI: 0.085; 0.752). The proportions of patients with DAV132- and/or FQ-related AEs (primary endpoint) did not differ significantly (14.8 vs. 10.8%, difference of proportions: 3.9%; 95% CI: -4.7; 12.6). No Cd infection occurred. Resistance to colonization by Cd was reduced in stools of patients receiving FQ only, but was maintained in those of patients who also received DAV132 (p=0.035). The acquisition of fecal carriage of vancomycin-resistant enterococci (VRE) was reduced with DAV132 (p=0.019). Figure 1: a. Free fluoroquinolones fecal concentration (mean ± SEM, µg/g) over time per FQ treatment group; b. Change of Shannon Index from baseline (mean ± SEM) over time Conclusion DAV132 was well tolerated in elderly hospitalized patients with comorbidities. It neither altered antibiotic plasma levels nor elicited changes in concomitant drugs regimens. Intestinal microbiota diversity was protected and resistance to colonization by Cd was preserved. DAV132 is a promising, novel product to prevent antibiotic-induced intestinal dysbiosis. Disclosures Annie Ducher, MD, Da Volterra (Employee, Shareholder) Maria J.G.T. Vehreschild, n/a, 3M (Grant/Research Support)Astellas Pharma (Grant/Research Support)Astellas Pharma (Consultant)Astellas Pharma (Speaker's Bureau)Basilea (Speaker's Bureau)Berlin Chemie (Consultant)Da Volterra (Grant/Research Support)Da Volterra (Grant/Research Support)Gilead (Grant/Research Support)Gilead (Speaker's Bureau)Merck/MSD (Speaker's Bureau)Merck/MSD (Grant/Research Support)MSD/Merck (Consultant)Organobalance (Grant/Research Support)Organobalance (Speaker's Bureau)Pfizer (Speaker's Bureau)Seres Therapeutics (Grant/Research Support) Thomas J. Louie, MD, Da Volterra (Consultant) Oliver A. Cornely, MD, Actelion (Consultant, Grant/Research Support, Speaker's Bureau)Al Jazeera Pharmaceuticals (Consultant)Allecra Therapeutics (Consultant, Grant/Research Support, Speaker's Bureau)Amplyx (Consultant, Grant/Research Support, Speaker's Bureau)Astellas (Consultant, Grant/Research Support, Speaker's Bureau)Basilea (Consultant, Grant/Research Support, Speaker's Bureau)Biosys UK Limited (Consultant, Grant/Research Support, Speaker's Bureau)Cidara (Consultant, Grant/Research Support, Speaker's Bureau)Da Volterra (Consultant, Grant/Research Support, Speaker's Bureau)Entasis (Consultant, Grant/Research Support, Speaker's Bureau)European Commission (Grant/Research Support)F2G (Consultant, Grant/Research Support, Speaker's Bureau)German Federal Ministry of Research andEducation (Grant/Research Support)Gilead (Consultant, Grant/Research Support, Speaker's Bureau)Grupo Biotoscana (Consultant, Grant/Research Support, Speaker's Bureau)Janssen Pharmaceuticals (Consultant, Grant/Research Support, Speaker's Bureau)Matinas (Consultant, Grant/Research Support, Speaker's Bureau)MedicinesCompany (Consultant, Grant/Research Support, Speaker's Bureau)MedPace (Consultant, Grant/Research Support, Speaker's Bureau)Melinta Therapeutics (Consultant, Grant/Research Support, Speaker's Bureau)Menarini Ricerche (Consultant, Grant/Research Support, Speaker's Bureau)Merck/MSD (Consultant, Grant/Research Support, Speaker's Bureau)Mylan Pharmaceuticals (Consultant)Nabriva (Consultant)Noxxon (Consultant)Octapharma (Consultant, Grant/Research Support, Speaker's Bureau)Paratek Pharmaceuticals (Consultant, Grant/Research Support, Speaker's Bureau)Pfizer (Consultant, Grant/Research Support, Speaker's Bureau)PSI (Consultant, Grant/Research Support, Speaker's Bureau)Roche Diagnostics (Consultant)Scynexis (Consultant, Grant/Research Support, Speaker's Bureau)Shionogi (Consultant) Céline Féger, PhD, Da Volterra (Consultant) Aaron Dane, MSc, Da Volterra (Consultant)Spero theraputics (Consultant) Aaron Dane, MSc, Spero theraputics (Consultant) Marina Varastet, PhD, Da Volterra (Employee) Jean de Gunzburg, PhD, Da Volterra (Board Member, Consultant, Shareholder) Antoine Andremont, PhD, Bioaster (Consultant)Da Volterra (Board Member, Consultant, Shareholder) France Mentré, MD, Da Volterra (Consultant)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.271
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2020
Admission routes1
Has abstractyes

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