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Enregistrement W4403719519 · doi:10.14309/01.ajg.0001030824.46417.ef

S364 Efficacy and Safety of Investigational Therapeutic Microbiome SER-109 in Recurrent Clostridioides difficile Infection: A Systematic Review

2024· review· en· W4403719519 sur OpenAlexaboutno aff
Harsimran Kalsi, Stephanie P Fabara, Akankcha Alok, Mohammed Bhakit

Notice bibliographique

RevueThe American Journal of Gastroenterology · 2024
Typereview
Langueen
DomaineMedicine
ThématiqueClostridium difficile and Clostridium perfringens research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésClostridioidesMedicineMicrobiomeInvestigational DrugsClostridium difficileIntensive care medicineInternal medicineBioinformaticsMicrobiologyClinical trialAntibiotics

Résumé

récupéré en direct d'OpenAlex

Introduction: Current therapies for recurrent Clostridioides difficile infection (CDI) often fail to address the disrupted microbiome contributing to C. difficile spore germination and subsequent toxin production. SER-109, an investigational therapeutic microbiome, is composed of purified Firmicutes spores and shows promise in treating recurrent CDI. Our aim was to evaluate the efficacy, safety and recurrence rate of CDI following administration of oral SER-109. Methods: We systematically reviewed available literature on PUBMED using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) for clinical trials involving SER-109. We found 3 clinical trials that met our inclusion criteria and primary efficacy endpoint criteria. For assessing bias, we used the Cochrane Collaboration's tool risk assessment of the clinical trials (Figure 1). Results: Oral SER-109 was well tolerated with the rate of recurrent CDI remaining low, regardless of the number of prior recurrences or patient demographics. The diagnostic approach did not significantly impact the beneficial effect of SER-109. In patients with symptom resolution of C. difficile infection after treatment with standard-of-care antibiotics, oral administration of SER-109 was superior to placebo in reducing the risk of recurrent infection. The observed safety profile of SER-109 was mild and similar to that of placebo. Our findings are summarized in Table 1. Conclusion: SER-109 holds promise as a safe and effective treatment for recurrent CDI. Further research is warranted to confirm its long-term efficacy and explore potential mechanisms underlying its impact on the disrupted gut microbiome.Figure 1.: Bias analysis of the clinical trials in the systematic review. Table 1. - Characteristics and outcomes of selected studies STUDIES ECOSPORMcGovern BH et al. ECOSPOR IIIFeuerstadt P et al. ESCOPOR IVSims MD et al. Country USA USA & Canada USA & Canada Study Design Phase-2 Multicenter, randomized, double blind, placebo controlled. Phase-3, Multicenter, randomized, double-blind, placebo controlled. Open Label Extension & Open Label Program. Inclusion Criteria Adults above 18 years of age with 3 or more CDI episodes within the past 9 or 12 months. Adults above 18 years of age with 3 or more CDI episodes within the past 9 or 12 months. Cohort 1: CDI recurrence within 8 weeks after treatment or placebo.Cohort 2: new patients above 18 years of age who had one or more CDI episodes and had responded to a course of antibiotic treatment. Patient Demographics Total n=89,Female 60 (67.4%),93.3% White, mean age: not listed. Total n= 182, mean Age 65.5 ± 16.5 years, female 67%93% White, 99% outpatients. Total n=263,Female 180 (68.4%), mean Age 64±15.7 years, 92.4% White. Diagnostic Approach 80.9% diagnosed by PCR19.1% by GDH+/Toxin+. Enzyme immunoassay or enzyme immunoassay and cell cytotoxicity neutralization assay, specific % not listed. Toxin enzyme immunoassay (EIA), polymerase chain reaction (PCR) assay for toxin genes, and cell cytotoxicity neutralization assay.69 patients (26.4% of the enrolled participants) were enrolled based on PCR diagnostics alone. Prior Recurrences 3 (53.9%, n=48); 4 (29.2%, n=26); ≥5 (16.9%, n=15). 3 (55%, n=49); ≥4 (44%, n=39); No Data (1%, n=1). 2 (29.3%, n=77); ≥3 (70.7%, n=186). Previous Antibiotic Regimen Vancomycin (78.7%, n=70), Fidaxomicin (21.3%, n=19). Vancomycin (72%, n=64), Fidaxomicin (28%, n=25). Vancomycin (72.6%, n=191); Fidaxomicin (27.4%, n=72). Number of patients in treatment group 59 89 Cohort 1: 29Cohort 2: 234 Number of patients in control group 30 93 0 Intervention SER-109 vs placebo, oral SER-109 vs placebo, oral SER-109, oral Time of outcome assessment 8 and 24 weeks after treatment. 4,8,12, and up to 24 weeks after initiation of treatment. Cohort 1: up to 8 weeks after treatmentCohort 2: up to 8 and 12 weeks after treatment. Recurrence Rates 44% (n=59) in the SER-109 group vs 53.3% (n=30) in the placebo group developed recurrence at 8 weeks. 12% (n= 11) in SER-109 group vs 40% (n=37) in placebo groupRR 0.32; 95% CI 0.18 to 0.58; P < 0.001 for RR< 1; P < 0.001 for RR < 0.833). By week 24, 13.7%, n=36 patients had CDI recurrence (95% CI, 9.8%-18.4%). Safety Profile 76.7% of SER-109 subjects experienced adverse events (AEs), including 40.0% mild, 26.7% moderate, and 10.0% severe, with 15.0% reporting serious AEs; in the placebo group, 69.0% had AEs, with 37.9% mild, 31.0% moderate, and 10.3% reporting serious AEs. 93% of SER-109 and 91% of placebo recipients reported adverse events, with 51% possibly treatment-related, 8% experiencing serious adverse events in the SER-109 group, and 2% of deaths in the SER-109 group not linked to the drug. 53.6% mild to moderate adverse events, with 6.5% invasive infections, 12.5% serious adverse events, and 3.0% of deaths not linked to SER-109; the most common issues were gastrointestinal symptoms and urinary tract infections. Limitations Lack of certainty in diagnosing all patients accurately. Low representation of minority population and lack of stool specimen before antibiotic treatment. Open-label design, due to this it is challenging to make conclusive statements about the efficacy of SER-109.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,039
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,051

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,039
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0110,011
Bibliométrie0,0060,007
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0020,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,037
Tête enseignante GPT0,351
Écart entre enseignants0,314 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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