The Association of Antibiotic (ATB) exposure prior to immune checkpoint inhibitor (ICI) treatment on early emergency room and hospitalization utilization: A population-based study.
Notice bibliographique
Résumé
304 Background: ICIs are becoming a common therapeutic option for many solid tumors. Prior studies have shown that ATB exposure can negatively impact ICI outcomes through gut microbiome changes leading to poorer overall survival; however, less is known about the potential impact of ATB exposure on toxicities from ICI. We undertook a population-based retrospective cohort study in patients receiving ICIs to evaluate the impact of ATB exposure on early acute care use, defined as emergency department visit or hospitalization, within 30 days of initiation of ICI therapy. Methods: Administrative data was utilized to identify a cohort of cancer patients > 65 years of age receiving ICIs from June 2012 to October 2018 in Ontario, Canada. We linked databases deterministically to obtain socio-demographic and clinical co-variates, ATB prescription claims and acute care utilization. Patients were censored if they died within 30 days of initiating ICI therapy. The impact of ATB exposure within 60 days prior to starting ICI on early acute care use was evaluated using multi-variable logistic regression models, adjusted for age, gender, rurality, recent hospitalization within 60 days prior to starting ICI and comorbidity score. Results: Among 2737 patients (median age 73 years), 43% received Nivolumab, 41% Pembrolizumab and 13% Ipilimumab, most commonly for lung cancer (53%) or melanoma (34%). Of these patients, 19% had ATB within 60 days prior to ICI with a median ATB treatment duration of 9 days (SD = 13). 647 (25%) patients had an acute care episode within 30 days of starting ICIs; 182 (7%) patients passed away within 30 days without acute care use and were censored from further analyses. Any ATB exposure within 60 days prior to ICI was associated with greater likelihood of acute care use (aOR = 1.34 95% CI [1.07-1.67] p = 0.01). A dose effect was seen based on weeks of ATB exposure within 60 days prior to ICI (aOR = 1.12 per week [1.04-1.21] p = 0.004) and early acute care use. ATB class analysis identified that exposure to penicillins (aOR = 1.54 [1.11-2.15] p = 0.01) and fluoroquinolones (aOR = 1.55 [1.11-2.17] p = 0.01) within 60 days of starting ICIs were associated with a greater likelihood of acute care use, while there was no significant association between cephalosporin exposure and early acute care use (p > 0.05). Conclusions: Exposure to ATBs, specifically fluoroquinolones and penicillins, prior to ICI therapy is associated with greater likelihood of hospitalization or emergency room visits within 30 days after initiation of ICIs, even after adjustment for relevant co-variates including age, comorbidity score and recent hospitalization prior to ICI initiation. Further studies are required to better understand the mechanisms of recent ATB exposure on early acute care use among patients receiving ICIs.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».