A248 OUTCOMES OF COVID-19 ILLNESS AND ACCESS TO APPROPRIATE TREATMENT IN LIVER TRANSPLANT RECIPIENTS IN BRITISH COLUMBIA THROUGHOUT THE PANDEMIC
Notice bibliographique
Résumé
Abstract Background COVID-19 continues to cause significant illness and mortality worldwide. Solid Organ Transplant Recipients (SOTR) have a higher rate of COVID-19 infection and worse outcomes than those who are immunocompetent. Dexamethasone, tocilizumab, and baricitinib have improved inpatient outcomes. Sotrovimab, remdesivir, and nirmatrelvir/ritonavir have recently been approved for used in high risk, minimally symptomatic outpatients. Previous experience has shown that use of monoclonal antibodies and oral antiviral agents have reduced morbidity and mortality of COVID-19 in SOTR. Purpose To assess the experiences and outcomes of COVID-19 and access to directed therapy in SOTR in British Columbia (BC). Method Data was compiled from patient disclosure to liver transplant clinicians on COVID-19 infection and gathered from patient charts in the SOTR Clinic at Vancouver General Hospital. Inclusion criteria were patients followed at the clinic with a positive COVID-19 test or clinical confirmation of COVID-19 syndrome. This is a retrospective, quality assurance study and did not require ethics review. Result(s) 158 SOTR reported COVID-19 infections between March 2020 and September 2022. 3 patients died within 30 days of COVID-19 infection, 2 (1.26%) of which the cause of death was directly due to COVID-19, and the other who had cholangitis with severe sepsis and multi-organ system failure. 24 patients required admission to hospital, 7 requiring critical care support. 41 patients did not receive any therapy for COVID-19: there was none available at that time (n=26), it was contraindicated due to a drug interaction (n=2) or medical condition (n=1), was refused (n=1), or the infection was reported too late to qualify (n=10). 83% (92/112) of outpatients received available anti-viral treatment: sotrovimab (n=27), remdesivir (n=63), or nirmatrelvir/ritonavir (n=2). In inpatients (n=24), 13 received corticosteroids, 6 dual treated with tocilizumab (n=4) or baracitinib (n=2). 4 inpatients received remdesivir. Three patients were treated in hospital after initiating outpatient therapy, one with progression of COVID-19 illness despite starting remdesivir. Two patients had adverse effects of medications provided: one was prescribed nirmatrelvir/ritonavir by a physician outside of the transplant program, which caused tacrolimus toxicity (serum concentration of 69.4 ng/mL) with nausea, vomiting, and diarrhea. Another patient had an episode of hypotension after receiving sotrovimab and sustained an acute kidney injury (AKI). Both patients fully recovered. There were no deaths on antiviral therapy. Of 145 patients who had laboratory investigations done within 30 days of COVID-19 infection, 16 had a transient rise in liver enzymes, 14 had an AKI and 11required an adjustment in their tacrolimus dose. Conclusion(s) Involving the liver transplant team early in the course of COVID-19 illness allows patients to safely access COVID-19 directed therapy to avoid progression of illness, and medication interactions or toxicity. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».