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Enregistrement W2361747243 · doi:10.1182/blood.v126.23.3279.3279

Epidemiologic and Clinical Characteristics of Thalassemia (Thal) Intermedia (TI) in the United States

2015· article· en· W2361747243 sur OpenAlexaff
Elliott Vichinsky, Janet L. Kwiatkowski, Patricia J. Giardina, Carole Paley, Francis Vekeman, Wendy Y. Cheng, Joseph Damron, Nora McCormick, Medha Sasané, Ying Qiu, Mei Sheng Duh, Alexis A. Thompson

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésMedicineThalassemiaInternal medicinePediatricsGastroenterology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction TI is increasingly prevalent in the US due to changing immigration patterns. It is underdiagnosed, leading to inadequate or delayed management. This study reviewed the prevalence, epidemiology, and clinical characteristics of TI in patients (pts) in the US. Methods Medical records from 1/1997- 4/2014 at 4 US hematology centers were reviewed. Index date was the 1st TI visit at a center on or after 1/1/1997. Eligible pts had a TI diagnosis (≤8 mean packed red blood cell transfusions per year (yr) over a ≥3-y period after index date) and ≥12 months of follow-up. Data spanned from index date to death or last record. Descriptive analyses of demographic and clinical data were done by TI subtype. Results Of 138 pts enrolled, 84 had α-thal, 39 had β-thal, and 15 had E/β-thal. 74% of α-thal pts had deletional (del) Hb H, and 26% had non-deletional (ndel) Hb H. 59% of β-thal pts had homozygous or compound heterozygous β-globin mutations (8% with α deletion, 51% without), 20% had a single β mutation with α-gene triplication, 13% had autosomal dominant β thal, and 8% had other β-globin mutations. Of the E/β-thal pts, 80% had E/β0 and 20% had E/β+. Median age at index date was 2.3 yr (1.64 del; 6.1 ndel) in the α-thal group, 9.2 yr in the β-thal group, and 2.2 yr in the E/β-thal group. Most α-thal (77%) and E/β-thal (87%) pts were Asian; most β-thal pts were White (46%) or African-American (36%). Most α-thal (56%) and E/β-thal (53%) pts were of Southeast Asian origin; most β-thal pts were of Mediterranean (31%) or African (21%) origin. 21%, 10%, and 20% of α, β, and E/β-thal pts, respectively, were foreign-born, and 5%, 3% and 7%, respectively, were transfused outside of the US. Observation length was similar across subtypes (median: 5.3 yr). Clinical comorbidities are shown in Table 1. 22% of pts received ≥1 transfusion, while 7% of pts received ≥8 transfusions in any 1 yr to treat anemia, acute hemolysis, or cardiac abnormality; increased transfusions were initiated due to growth failure, acute hemolysis, or unspecified reasons. β-thal pts had a higher mean number of transfusions per pt per yr (PPPY) (α: 0.4 (0.0 del; 1.5 ndel), β: 0.9, E/β: 0.2) and higher mean serum ferritin (ng/mL) (204.3; 511.7; 362.4), and more often had iron chelation therapy (ICT) (11%; 28%; 7%). There was an association between higher serum ferritin, more frequent transfusions, and older age. In pts <10 yr, mean number of transfusions PPPY for regularly and ever transfused was 4.0 and 2.1, and serum ferritin for regularly, ever, and never transfused was 723.7, 438.0, and 146.4 ng/mL. In pts >18 yr, these values were 9.8 and 4.6 transfusions PPPY and 1166.8, 1042.2, and 521.4 ng/mL. An association also existed between ICT and higher mean serum ferritin (ICT: 769.9; no ICT: 463.7 ng/mL). 22% of pts had ≥1 liver iron test, and 18% had ≥1 cardiac iron test. Tested pts were older than those not tested (median yr, liver iron: 26.1 vs 7.4; cardiac: 20.1 vs 4.6). Among tested pts, 78% (25/32) had abnormal liver iron results. Median (range) LIC based on R2 or SQUID was 10.8 (2.5-18.2) mg/g dw, with corresponding within-12-month serum ferritin of 494 (127-1770) ng/mL. 49% (17/35) of pts tested had abnormal cardiac results based on electrocardiogram or echocardiogram. Table 1. Clinical comorbidities All α-thal α-thal del α-thal ndel β-thal E/β-thal N=138 N=84 N=62 N=22 N=39 N=15 Splenomegaly 54% 55% 39% 100% 51% 60% Extramedullary hematopoiesis 28% 24% 13% 55% 36% 33% Growth retardation 21% 23% 18% 36% 13% 33% Hepatomegaly 21% 24% 13% 55% 15% 20% Infections needing hospitalization/IV antibiotics 21% 25% 19% 41% 15% 13% Hypoparathyroidism/hypocalcemia 15% 17% 8% 41% 10% 20% Osteopenia/osteoporosis 13% 11% 5% 27% 21% 7% Bone deformities 9% 6% 5% 9% 21% 0% Splenectomy and/or cholecystectomy 9% 5% 2% 14% 21% 0% Cardiomegaly 4% 6% 2% 18% 0% 7% Conclusion TI in the US affects a diverse population. Our data showed a higher prevalence in African-Americans than previously documented. Rates of comorbidity and transfusion frequency increased with age. 18% and 4% of pts were born and transfused outside of the US, potentially leading to additional transfusion-related morbidity. Consistent with extant data, serum ferritin in TI often underestimated actual LIC, rendering more pts potentially eligible for ICT than observed. Morbidities observed in this study underscore the need for better and earlier diagnosis, substantiating the need for nationwide TI screening/surveillance to optimize management. Disclosures Vichinsky: Novartis: Research Funding. Kwiatkowski:Novartis: Research Funding; Sideris Pharmaceuticals: Consultancy; Shire Pharmaceuticals and Sideris Pharmaceuticals: Consultancy; ISIS: Membership on an entity's Board of Directors or advisory committees. Paley:Novartis: Employment. Vekeman:Novartis: Research Funding. Cheng:Novartis: Research Funding. Damron:Novartis: Research Funding. McCormick:Novartis: Research Funding. Sasane:Novartis: Employment. Qiu:Novartis: Employment. Duh:Novartis: Research Funding. Thompson:Bluebird bio: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Mast: Research Funding; Apopharma: Consultancy; Baxter: Consultancy, 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)0,000
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 enseignants0,012
Score d'incertitude au seuil0,024

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 Opus0,046
Tête enseignante GPT0,328
Écart entre enseignants0,283 · 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

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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