Epidemiologic and Clinical Characteristics of Thalassemia (Thal) Intermedia (TI) in the United States
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".