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Enregistrement W2626728407 · doi:10.1182/blood.v128.22.1274.1274

Agreement Between R2 and R2* Liver Iron Estimates Is Independent of the Type of Iron Removal Therapy: Results from the Twitch Trial

2016· article· en· W2626728407 sur OpenAlexaff
John C. Wood, Timothy G. St. Pierre, Banu Aygün, Nicole A. Mortier, William H. Schultz, Connie M. Piccone, Jane S. Hankins, Zora R. Rogers, William Owen, Isaac Odame, Sharada A. Sarnaik, Lee Hilliard, Alan R. Cohen, Russell E. Ware

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésPhlebotomyMedicineMidpointConfidence intervalRandomizationNuclear medicineClinical trialSurgeryInternal medicineMathematics

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: TCD with Transfusions Changing toHydroxyurea (TWiTCH Clinical Trials.gov NCT01425307), an NHLBI-sponsored multicenter trial, compared transfusion pluschelation (Standard Arm) tohydroxyurea (HU) plus phlebotomy (Alternative Arm) in children with sickle cell disease at high risk for stroke. Alternative arm patients underwent serial phlebotomy (10mL/kg, maximum 500mL) every 4 weeks after reaching maximal tolerated dose (MTD) of HU and discontinuing transfusions. Changes in liver iron concentration (dLIC), measured as mg Fe per gram dry weight liver, by both MRI R2 (FerriScan) and R2* were key secondary outcome measures. R2 and R2* are two, different MRI techniques that exploit the magnetic properties of tissue iron to estimate iron concentration. We previously reported significant differences between the two approaches at the baselinetimepoint. The purpose of this investigation was to determine the limits of agreement between measurements ofdLIC over a period of one year by R2 and R2* methods in both arms of the study. Methods: MRI R2 and R2* data were collected prior to randomization, and after 1 year (midpoint) and 2 years of therapy (study exit). dLIC between baseline to midpoint and midpoint to study completion was calculated for both R2 and R2* LIC values. Since LIC measurement variability increases with iron burden, each dLIC pair (R2 and R2*) were normalized to the patients iron burden at the start of the observation interval. That is, dLIC from baseline to midpoint was normalized to baseline LIC, while dLIC from midpoint to study end was normalized to midpoint LIC. The geometric mean of LICR2 and LICR2* was used to represent the baseline and midpoint LIC. Bland Altman analysis was performed on measurements of the percent change of dLICR2 and dLICR2* to determine the limits of agreement between the two techniques. Results: R2 measurements were performed in 104 patients at baseline, 94 at midpoint and 99 at study end, while R2* measurements were performed in 101, 87, and 89 patients, respectively. However, missing data limited Bland Altman comparisons ofdLIC to 74 patients between baseline to midpoint and 69 patients from midpoint to study end. Figure 1 (left) plots the measureddLIC using R2 (vertical axis) against the measureddLIC change by R2* (horizontal axis) for the Standard Arm participants. Dots represent LIC change over the first year and open circles represent LIC changes over the second year. The dotted line represents perfect agreement. Figure 1 (right) demonstrates the corresponding relationship for the patients in the Alternative Arm. Although the alternative arm appears to have greater disagreement, this represents an artifactcause by the transient increases in LIC that occurred as patients bridged from standard to alternative therapy. Iron chelationwas stopped when patients began hydroxyureabut patients required an overlap period of transfusions for stroke prophylaxis. Figure 2 demonstrates the difference in dLIC measured by R2 and R2*, expressed as a percentage of starting LIC, plotted against the starting LIC value. The standard arm (open circles) and alternative arms (dots) completely overlap. 95% limits of agreement between the two measures ofdLIC were -45.7% to 63.7% (light lines). At LIC values > 8.3 mg/g,dLIC predicted by R2 was larger than predicted by R2*, while the converse was true for LIC values below 8.3 mg/g, similar to our published baseline findings for LIC measurements. Conclusions: LIC by R2 and R2* tracked one another closely over time in patients in both study arms. These data indicate that either technique can be used with confidence to monitor patients on iron removal therapy (chelation or phlebotomy), but that the techniques should not be interchanged. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures Wood: Vifor: Consultancy; Ionis Pharmaceuticals: Consultancy; Vifor: Consultancy; Biomed Informatics: Consultancy; World Care Clinical: Consultancy; Ionis Pharmaceuticals: Consultancy; World Care Clinical: Consultancy; AMAG: Consultancy; AMAG: Consultancy; Celgene: Consultancy; Celgene: Consultancy; Biomed Informatics: Consultancy; Apopharma: Consultancy; Apopharma: Consultancy. St Pierre:Resonance Health: Consultancy, Equity Ownership. Piccone:Novartis: Other: Speaker. Hankins:Novartis: Research Funding. Rogers:Apopharma: Consultancy. Ware:Bayer Pharmaceuticals: Consultancy; Global Blood Therapeutics: Consultancy; Biomedomics: Research Funding; Addmedica: Research Funding; Nova Laboratories: Consultancy; Bristol Myers Squibb: Research Funding.

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)0,039
score de la tête « metaresearch » (Gemma)0,044
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,039
Score d'incertitude au seuil0,204

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0390,044
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,026
Tête enseignante GPT0,260
Écart entre enseignants0,234 · 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

Citations5
Publié2016
Routes d'admission1
Résumé présentoui

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