The Pandemic H1N1 Influenza Vaccine Results In Low Rates of Seroconversion In Patients with Hematological Malignancies
Notice bibliographique
Résumé
Abstract Abstract 3110 Background: Patients with hematological malignancies are at increased risk of influenza and its complications. However, evidence for the efficacy of influenza vaccination in this population is limited and contradictory [Pollyea et al., J Clin Oncol. 2010]. The adjuvanted pandemic H1N1 vaccine has been shown to be highly effective in healthy adults, with reported rates of seroprotection and seroconversion of over 90% [Plennevaux et al., Lancet 2010]. We sought to determine whether patients being treated for hematological malignancies were able to mount a protective antibody response to the H1N1 pandemic influenza vaccine. Methods: Patients being treated for hematological malignancies at the London Regional Cancer Program during the 2009–2010 influenza season were invited to participate. Patients who had received the vaccine prior to the commencement of the study in November 2009 were excluded. Pre-vaccination plasma samples were collected in November 2009, and post-vaccination samples were collected from January through March 2010. At the time of second sample collection, patients were asked to complete a questionnaire asking if and when they had received the H1N1 influenza vaccine. Plasma samples from patients who elected not to be vaccinated formed a control group. Antibody titration was performed by the hemagglutinin inhibition test. Our primary outcome was the rate of seroconversion, as defined by a fourfold increase in antibody titres. We also measured geometric mean titres (GMT), geometric mean titre ratios, (GMTR, defined as the ratio of the post-vaccination titre to the pre-vaccination titre), and rates of seroprotection (titre ≥ 1:80). Statistical analysis was done using Mann-Whitney U, chi-squared, or Fisher's Exact Tests, as appropriate. Results: Sixty-two patients received the H1N1 vaccine and 41 patients chose not to be vaccinated. The rate of seroconversion among vaccinated patients was 21%, which was significantly higher than that in unvaccinated patients (0%) and significantly lower than that in healthy individuals. The GMTR was significantly higher in the vaccinated group than the unvaccinated group (2.2 ± 2.5 vs. 1.2 ± 0.6, p = 0.041). There were no significant differences in the geometric mean titres or the rates of seroprotection between the vaccinated and unvaccinated groups. Of the 46 patients on active chemotherapy who received the vaccine, 10 (22%) seroconverted and 16 (35%) mounted seroprotective titres. Of the 12 patients on active Rituximab who received the vaccine, 2 (17%) seroconverted and 4 (33%) mounted seroprotective titres. There were no significant differences in the rates of seroconversion and seroprotection between patients on or off chemotherapy or between patients on or off Rituximab. Conclusions: Only 21% of patients with hematological malignancies were able to produce a fourfold increase in antibody titres in response to the H1N1 influenza vaccine, a rate significantly lower than that previously reported for healthy patients. We were unable to identify any clinical factors predictive of a response to the vaccine. Physicians should be aware that patients with hematological malignancies are less likely to receive protection from the influenza vaccine, and should consider alternate strategies to minimize the morbidity and mortality from influenza in this population. Larger studies are indicated to confirm these results. Disclosures: No relevant conflicts of interest to declare.
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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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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) | 0,001 | 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 ».