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Incidence and Risk Factors for Vzv Infection after Allogeneic Hematopoietic Cell Transplantation in 1,045 Patients: Younger Age Less Than or Equal to 45, Occurrence of Cgvhd By NIH Consensus Criteria, and No T-Cell Depletion

2015· article· en· W7001039600 sur OpenAlexaboutno aff

Notice bibliographique

RevueThe Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueHerpesvirus Infections and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIncidence (geometry)Cumulative incidenceHematopoietic stem cell transplantationUnivariate analysisTransplantationRetrospective cohort studyRisk factorComplication
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction: \n \nVaricella zoster (VZV) infection is a common complication post allogeneic hematopoietic stem cell transplantation (HCT) associated with significant morbidity, such as post herpetic neuralgia and secondary bacterial infection. Strategies to diminish the incidence of VZV infection include the use of prophylactic antivirals with some controversy. Our previous studies have explored risk factors associated with the incidence of VZV infection in 192 patients (Kim, Transplant Infectious Diseases, 2007). We attempted to determine the incidence of VZV infection and to explore risk factors leading to the development of VZV infection in an extended cohort of 1,045 patients receiving alloHCT. \n \nMethods: \n \nA retrospective single center study was conducted at Princess Margaret Cancer Centre, Toronto, Canada. Medical record review was performed for 1,045 consecutive patients who had undergone an alloHCT from 2001 to 2013. VZV infection was determined by clinical features and/or microbiologic determination. The incidence of VZV infection was calculated using cumulative incidence method considering death and relapse as competing risks. Univariate and multivariate analyses were conducted using EZR to identify the risk factors for VZV infection. \n \nResults: \n \nOut of 1,045 patients, 142 cases were identified with VZV infection (13.6%) with 14.4% of VZV incidence at 5 years (95% CI, 12.3-16.8%). The median days to the diagnosis of VZV post allogeneic transplantation was 231 days (range, 27-1488 days). 86.6% of patients were diagnosed as having VZV within 2 years post transplantation. 52.1% of those who developed VZV developed post-herpetic neuralgia, while 14.8% developed disseminated VZV. \n \nA univariate analysis was conducted including the following risk factors: aGVHD grade 2-4, aGVHD grade 3-4, occurrence of cGVHD, cGVHD severity by NIH consensus criteria, diagnosis (lymphoid v. others), T-cell depletion for GVHD prophylaxis, donor (related v. unrelated), HLA (matched v. mismatched) and donor type (matched related v. matched unrelated v. mismatched). Risk factors that were significant on univariate analysis were cGVHD occurrence by NIH criteria (p<0.001, HR 3.441), progressive type onset of GVHD (p=0.001, HR 1.89,), and age (p=0.006, HR 0.98,). T cell depletion (p=0.002, HR 0.67) and matched related donor (p=0.005, HR 1.86) were also significant. \n \nMultivariate analysis confirmed that age (p=0.007, HR 0.98), occurrence of cGVHD by NIH consensus criteria (p<0.001, HR 3.07), and T-cell depletion (p=0.032, HR 0.55) were significant risk factors. ROC analysis was performed which revealed an age less than or equal to 45 to be a categorical risk factor for VZV infection. \n \nA risk score model was generated assigning a score to each risk factor. A score of 1 was assigned to younger patient with age less than or equal to 45, occurrence of cGVHD by NIH consensus criteria, and no T-cell depletion. Total score was calculated with risk score 0 (n=82, 10%), risk score 1 (n=264, 31%), risk score 2 (n=334, 40%), risk score 3 (n=163, 19%)(843 patients were used for risk score analysis from 845 patients due to missing information). Three risk groups were created: low (score 0-1, n=346, 41%), intermediate (score 2, n=334, 40%) and high (score 3, n=163, 19%). This risk score group could stratify the patients according to VZV infection (p<0.0001): 5.9% in low vs. 14.3% in intermediate vs. 25.8% in high-risk group for VZV infection at 5 yrs. \n \nConclusions: \n \nThe incidence of VZV infection was substantial at 14.4% at 5 yrs. The occurrence of cGVHD by NIH consensus criteria increases the risk of VZV infection. Of interest, younger age was also associated with increasing risk of VZV infection, while T-cell depletion was protective from VZV infection. Strategies to prevent VZV infection should be considered in the high risk group of patients for VZV infection. Further study is strongly warranted to confirm these risk factors in other cohorts.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,030
Tête enseignante GPT0,284
Écart entre enseignants0,254 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2015
Routes d'admission1
Résumé présentoui

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Même revueThe Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry)Même sujetHerpesvirus Infections and TreatmentsTravaux en français237 207