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Enregistrement W2582640753 · doi:10.1182/blood.v126.23.3313.3313

The Healthcare Resource Utilization, Costs, and Predictors of Progression Among Relapsed and Refractory CLL Patients

2015· article· en· W2582640753 sur OpenAlexaboutno aff
Annie Guérin, Saurabh Ray, Geneviève Gauthier, Ling‐I Hsu, Maryia Zhdanava, Eric Q. Wu

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineChronic lymphocytic leukemiaInternal medicineRefractory (planetary science)Health carePediatricsLeukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Chronic lymphocytic leukemia (CLL) is the most prevalent leukemia where the majority of patients (pts) experiences a relapse or becomes refractory after a first-line treatment. This study assesses the economic burden associated with early vs late disease progression among pts with relapsed and refractory (R/R) CLL and identifies factors that are associated with further disease progression. Method: CLL pts with an indicator of R/R disease were selected from the Truven MarketScan database (>25 million commercially insured lives annually; 2000-2013) based on diagnoses and treatment patterns. Pts were ≥18 years in age, continuously enrolled in their health plan for ≥6 months prior to (baseline period) and ≥1 month after the first indicator of R/R CLL. The index date was defined as the date of the first R/R indicator. As a first step, pts who progressed following the first indicator of R/R CLL were identified and classified into two mutually exclusive cohorts: 1) pts with early progression (<12 months after index date) and 2) pts with late progression (≥12 months after index date). Healthcare resource utilization (HRU) and costs ($2013 US) were measured over the period from index date up to end of continuous healthcare plan enrollment (study period) and were compared between early vs late progression cohorts using multivariate generalized linear regression models. HRU and costs were reported per-pt-per-month (PPPM). As a second step, the full sample of pts with R/R CLL was used to identify factors associated with a risk of early progression using Cox proportional hazard models. Results: Of the 4,387 R/R CLL pts selected, 2,238 (51%) pts had a progression following the first indicator of R/R CLL. Median time to first progression following the index date was 14.5 months. Among pts who progressed, 69.3% had early progression and 30.7% had late progression. Characteristics of pts with early vs late progression were similar in terms of age, sex ratio, and region of residence. The main differences between cohorts were in terms of baseline comorbidities - a higher proportion of pts in the early progression cohort had hypertension, deficiency anemias, and coagulation deficiency. Quan Charlson Comorbidity Index (CCI) was also higher in the early progression cohort compared to the late progression cohort (2.61 vs 2.48, p<.01). Over the study period, the early progression cohort had higher HRU: 54% more inpatient (IP) admissions, 85% more IP days, 27% more emergency room visits, and 31% more outpatient (OP) visits (all p<.01) compared to the late progression cohort. After adjusting for baseline confounding factors, pts in the early progression cohort also had higher total healthcare costs by $3,008 PPPM (mean costs $8,018 vs. $4,639), mainly driven by higher OP (adjusted difference $1,838) and IP (adjusted difference $848) costs (all p<.01). Among the full sample of R/R CLL pts (4,387 pts), time between CLL diagnosis and the firs indicator of R/R CLL (< 12 months; HR=1.20), and comorbidities, including a higher CCI (CCI≥3; HR=1.19), rheumatoid arthritis (HR=1.49), and substance-related and addictive disorders (HR=1.94) were found to be significantly associated with a higher risk of early progression. Results were generally consistent with a sensitivity analysis, where early vs late progression was defined using a 6-months cut-off. Conclusions: R/R CLL pts who experienced early progression had more comorbidities and incurred significantly higher healthcare resources and costs than pts with late progression, suggesting that delaying progression in the fast progressing R/R CLL pts can reduce the economic burden. Time from CLL diagnosis to R/R CLL and comorbidities were the main predictors of early progression. Disclosures Guerin: Janssen Scientific Affairs, Janssen-Ortho, Inc., Merck & Co., Inc., Merck Frosst Canada, Novartis Pharmaceuticals Corporation, Novo Nordisk Inc., Ogilvy Renault, Ortho-Clinical Diagnostics, Inc., Otsuka America Pharmaceutical, Inc.,:Consultancy; Pfizer Canada, Inc.,RX&D, Sanofi, Savient Pharmaceuticals, Inc., Shire Pharmaceuticals Inc., Sunovion Pharmaceuticals Inc.,Takeda Global Research & Development Center, Inc., Takeda Pharmaceuticals U.S.A., Inc: Consultancy; AbbVie Inc., Alcon Laboratories, Bayer Healthcare Pharmaceuticals, LLC, Celgene Corporation, Cempra Inc., Centocor Ortho Biotech, Cooley LLP, Cyberonics, Inc., DLA Piper, Eli Lilly & Company,Forest Laboratories, Inc., Genentech, Inc., GlaxoSmithKline,: Consultancy, Other: Annie Guerin is an employee of Analysis Group Inc, which has received consultancy fees from AbbVie for this research. Ray:AbbVie Inc.: Employment, Other: Stock Holder . Gauthier:Sunovion Pharmaceuticals Inc.,Takeda Pharmaceuticals U.S.A., Inc.: Consultancy, Other: Genevieve Gauthier is an employee of Analysis Group Inc, which has received consultancy fees from the listed organizations; AbbVie Inc., Celgene Corporation, Eli Lilly & Company, Genentech, Inc., GlaxoSmithKline, Janssen Scientific Affairs, LLC, Novartis Pharmaceuticals Corporation, Pfizer Canada, Inc., Sanofi, Savient Pharmaceuticals, Inc., Shire Pharmaceuticals Inc.,:Consultancy, Other: Genevieve Gauthier is an employee of Analysis Group Inc, which has received consultancy fees from the listed organizations. Hsu:AbbVie Inc: Employment, Other: Stock holder . Zhdanava:AbbVie Inc., Genentech, Inc., Merck Frosst Canada, Novartis Pharmaceuticals Corporation,Shire Pharmaceuticals Inc., Takeda Pharmaceuticals U.S.A., Inc.: Other: Maryia Zhdanava is an employee of Analysis Group Inc, which has received consultancy fees from AbbVie for this research. Wu:Celgene Corporation, Centocor Ortho Biotech, Cephalon, Inc., ConvaTec Inc., Corus Pharma, Inc., Eli Lilly & Company, Eli Lilly & Company, Ethicon, Inc., Forest Laboratories, Inc., Genentech, Inc., GlaxoSmithKline, Janssen Global Services, LLC,: Consultancy; Janssen Pharmaceutica, Inc., Janssen Scientific Affairs, LLC, Lilly Research Laboratories, McNeil Consumer & Specialty Pharmaceuticals, MedImmune, LLC, Melinta Therapeutics, Inc., Millennium Pharmaceuticals, Inc.,: Consultancy; AbbVie Inc., Alcon Laboratory, Astellas Pharma Inc., Astellas Pharma US, Inc., AstraZeneca, Barger & Wolen LLP, Bayer Healthcare Pharmaceuticals, LLC, Biosense Webster, Inc., Blue Cross Blue Shield Association, Boehringer Ingelheim, Bristol-Myers Squibb: Consultancy, Other: Eric Q Wu, is an employee of Analysis Group which has received consultancy fees from AbbVie for this research; Molecular Insight Pharmaceuticals, Inc., Novartis Pharmaceuticals Corporation, Ortho McNeil Pharmaceuticals, Inc., Sanofi, Savient Pharmaceuticals, Inc., Shire Pharmaceuticals Inc.,: Consultancy; Takeda Global Research & Development Center, Inc., Takeda Pharmaceuticals U.S.A., Inc., TAP Pharmaceutical Products, Inc., Vertex Pharmaceuticals Incorporated: Consultancy.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,101
Score d'incertitude au seuil0,230

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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)0,0000,000

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 Opus0,028
Tête enseignante GPT0,310
Écart entre enseignants0,282 · 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 tête enseignante, 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

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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