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Enregistrement W3208945987 · doi:10.14309/01.ajg.0000777108.73669.4f

S894 Burden of Herpes Zoster Among Patients With Ulcerative Colitis and Crohn’s Disease in the United States: A Retrospective Cohort Study Using a Large Administrative Claims Database

2021· article· en· W3208945987 sur OpenAlexaff
David Singer, Philippe Thompson‐Leduc, Sara Poston, Deepshekhar Gupta, Wendy Y. Cheng, Siyu Ma, John E. Pawlowski, Mei Sheng Duh, Francesca Devine, Azeem Banatwala, Emma Bernstein, Francis A. Farraye

Notice bibliographique

RevueThe American Journal of Gastroenterology · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHerpesvirus Infections and Treatments
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésMedicineUlcerative colitisRetrospective cohort studyIncidence (geometry)CohortInternal medicinePopulationInflammatory bowel diseaseRashCohort studyDiseasePropensity score matchingDisease burdenDiagnosis codePediatrics

Résumé

récupéré en direct d'OpenAlex

Introduction: Herpes zoster (HZ) is a disease characterized by a painful dermatomal rash caused by reactivation of the varicella-zoster virus. HZ incidence is higher in patients (pts) with ulcerative colitis (UC) and Crohn’s disease (CD) than in the general population. This study examined the burden associated with HZ in pts with UC and CD in the United States. Methods: This was a retrospective cohort study using administrative claims data (10/2015-02/2020). Separate cohorts of pts with UC+HZ or CD+HZ were identified with International Classification of Diseases, 10th Revision, Clinical Modification codes in medical claims. The 1st HZ diagnosis was the index date and at least 1 UC or CD diagnosis was required within 12 months prior to index (baseline). Control cohorts of pts with UC or CD but no HZ during the study period were identified and randomly assigned an index date based on the distribution of the durations of pre-index eligibility in the HZ cohorts (i.e., UC+HZ or CD+HZ cohorts, respectively). All pts were required to have 12 months of continuous enrollment before (baseline) and after (follow-up) index. Adjusted incidence rate ratios of all-cause healthcare resource use (HRU) and adjusted differences of all-cause costs were estimated using multivariable modeling, adjusting for propensity scores and key baseline variables. Outcomes were reported comparing pts with UC+HZ to UC only and, separately, pts with CD+HZ to CD only. Results: The study included 431 and 10,285 pts with UC+HZ and UC only, and 435 and 9,797 pts with CD+HZ and CD only, respectively. Mean ages for the cohorts ranged between 56-65 years. Comorbidity burden and baseline costs were slightly higher in the HZ vs control cohorts (Table 1). Adjusted incidence rates of HRU over 12 months were higher in the cohorts with HZ vs those without (Table 1). Mean (95% confidence interval [CI]) adjusted cost differences were $8,393 (-468;17,350) and $5,299 (-3,019;14,966) for the UC+HZ vs UC only and for the CD+HZ vs CD only cohorts, respectively, over 12-month follow-up. During the 1st quarter following HZ, the mean (95% CI) adjusted cost differences were $2,574 (415;5,062) and $5,497 (2,300;11,487) for the UC+HZ vs UC only and for the CD+HZ vs CD only cohorts, respectively (Table 1). Conclusion: These results suggest that HZ poses a significant burden in UC and CD pts, being associated with higher HRU and costs even after adjusting for baseline differences. These findings highlight the need for interventions to reduce this burden.Table 1.: Baseline Characteristics and Study Outcomes a) Standardized differences of 20%, 50%, and 80% suggest small, medium, and large differences, respectively (Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd Ed. New Jersey: Lawrence Erlbaum Associates; 1988). b) Measured using different observation windows prior to index date for various medications. Ustekinumab, Vedolizumab, Anti-TNF biologics, and JAK inhibitors were identified based on a window up to 3 months prior to index allowing for an additional 30 days at discontinuation. All others reported were identified based on a prescription or refill within 6 months prior to index with days supply covering index. c) All costs are reported in 2020 US dollars. d) IRRs were calculated using the PROC GENMOD procedure for generalized linear models assuming a negative binomial distribution and log link, accounting for the propensity score of being in UC+HZ or CD+HZ cohort and relevant baseline characteristics as covariates. e) Cost differences were estimated using the two-part modeling approach: (1) In the first part, the probability of observing a positive cost was modeled using logistic regression; (2) in the second part, a generalized linear model with a gamma distribution and log link was used to predict costs among patients with positive costs. Both models included the patients’ propensity scores and relevant baseline characteristics as covariates. The 95% CIs were estimated from nonparametric bootstrap procedures with 499 replications. CD, Crohn’s disease; CI, confidence interval; HZ, herpes zoster; IBD, inflammatory bowel disease; IRR, incidence rate ratio; JAK, Janus kinase; n, number of patients; PPPY, per patient per year; SD, standard deviation; TNF, tumor necrosis factor; UC, ulcerative colitis.

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)0,002
score de la tête « metaresearch » (Gemma)0,005
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 enseignants0,013
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
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 Opus0,015
Tête enseignante GPT0,295
Écart entre enseignants0,280 · 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
Publié2021
Routes d'admission1
Résumé présentoui

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