CMV Reactivation Pre and Post Letermovir Prophylaxis, a Single Centre Review of Clinical Outcomes and Resource Utilization
Notice bibliographique
Résumé
Introduction Prospective, randomized trials have demonstrated reduction in the incidence of clinically significant CMV infections (csCMVi) with use of letermovir prophylaxis (LP) in allogeneic hematopoietic stem cell transplant (alloHSCT). Publicly funded LP became available at our cent for routine use in late . We evaluated clinical and health resource utilization outcomes in patients at high risk of csCMVi before and after implementation of LP to assess its impact. Methods We retrospectively analyzed alloHSCT recipients at high risk of CMV (as defined by Marty et al, NEJM 2017) at our center during two time periods. The Pre-LET group underwent HSCT between January 1, 2019, and December 31, 2020 and not receive LP, while the Post-LET group underwent HSCT between and received LP. The patients who were deemed to be at high risk of CMV reactivation were CMV seropositive recipients: 1) with a mismatched or haploidentical donor, or an umbilical cord blood graft, 2) treated with ATG conditioning, 3) required high-dose steroids or ATG for acute graft versus host disease (GVHD), or 4) with documented history of CMV disease prior to HSCT. LP was initiated on day +10 provided baseline (day +7) if CMV DNA was undetectable (< 35 IU/mL) and continued until day +100. Those with detectable CMV DNA (>35 IU/mL) at baseline were excluded from the study as they did not qualify for publicly funded LP at our center. Pre-emptive therapy (PET) for CMV reactivation was initiated when viral titers were >1000 IU/mL, if not on LP, o and >500 IU/mL, if on LP. We collected data pertaining to the baseline characteristics, transplant details and clinical outcomes of the study subjects, using our electronic databases. We examined CMV related outcomes for the first year from the transplant. Results: We identified 155 patients (Pre-LET 98, Post-LET 57). The mean age was 49 year (range 19-72) and 53 years (21-71) in the Pre-LET and Post-LET groups respectively (p=0.068). The most common diagnosis in either group was acute myeloid leukemia (Pre- 46%, Post- 37%). Most patients received myeloablative conditioning (79% in both groups). ATG was often included for GVHD prophylaxis (Pre- 88%, Post- 81%, p=0.22). Grade 2-4 acute GVHD was seen in 46/98 (46.9%) of Pre-LET patients and 20/57 (35.1%) of Post-LET patients. Fifty-five of 98 (56.1%) Pre-LET patients needed ³1mg/kg of corticosteroids for GVHD treatment, compared to 23/57 (40.4%) the Post-LET patients (p=0.058). csCMVi . 4/9 Post-LET patients had csCMVi while taking LP; three had acute GVHD at the time and one was receiving >1mg/kg corticosteroids. The Post-LET group had 83% reduction in odds of needing PET compared to Pre-LET (p<0.001). Time to initiation of PET from transplant was significantly longer in Post-LET group (152d vs 42d, p=0.001). Valgancyclovir was the most common front-line PET (Pre- 78.4%, Post- 66.7%). The duration of cumulative PET use in the first year post-transplant was longer in the Pre-LET group (24.0 days/person-year vs 6.7 days/person-year, p <0.001). There was no significant difference in the rate (Pre- 9.2%, Post-3.5%, p=0.19) or duration of csCMVi-related hospitalization. No death due to csCMVi or CMV disease was observed in either group. 26/98 (26.5%) Pre-LET patients required G-CSF support on PET, in contrast to 2/57 (3.5%). Post-LET patients (p<0.001). There was no difference in risk of relapse or overall survival between the Pre-LET and Post-LET groups (Estimated 1-year RFS 0.78 vs. 0.72; estimated 1-year OS 0.81 vs. 0.88). Conclusions Our data provide unique insight into the change in clinical outcomes of patients at high risk of csCMVi after publicly funded LP became available. LP was associated with lower incidence of csCMVi, PET use and G-CSF requirement. There was no significant difference in hospitalization or survival between the groups. Our real-world data is in concordance with the findings from previously published studies, demonstrating utility of LP in reducing the burden of disease of csCMVi. Further research into blood product utilization and patient related quality of life outcomes would be of interest.
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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 | 0,006 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,007 | 0,011 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».