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Hospitalization Rate and Regional Differences in Comprehensive Care in Transfused Patients with Sickle Cell Disease Compared to Thalassemia: A Report from the Multi-Center Study of Iron Overload.

2005· article· en· W2551180450 on OpenAlexaboutno aff
Ellen B. Fung, Paul Harmatz, Meredith Milet, Samir K. Ballas, Laura DeCastro, Ward Hagar, Lee Hilliard, William Owen, Kim Smith‐Whitley, Elliott Vichinsky

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThalassemiaAcute chest syndromeSickle cell anemiaInternal medicinePediatricsDiseaseAnemiaGastroenterology

Abstract

fetched live from OpenAlex

Abstract Red blood cell transfusions are often used to prevent the complications of thalassaemia (Thal) and sickle cell disease (SCD), though chronic therapy frequently results in iron overload-related organ injury. The Multi-Center Study of Iron Overload is a prospective, natural history study conducted to compare the comorbidities of iron overload in Thal with SCD. This report examines differences in morbidity and comprehensive care by disease and geographic region. 584 subjects aged 12 years and over, were screened for inclusion from 30 clinical hematological centers in the US, Canada and the UK. Socioeconomic and clinical data from subjects with iron overload (LIC of ≥ 10 mg/g dry wt by biopsy) and either Thal (N=142, 54% Male) or Tx-SCD (N=199, 43% Male) were collected. A group of non-iron overloaded SCD (NonTx-SCD N=64; 50% Male) were also enrolled. Tx-SCD were hospitalized more frequently (4.1± 3.8 times/year) compared to Thal (1.8± 1.7) or NonTx-SCD (2.1± 1.7; p<0.001) subjects, though average length of stay was similar (Tx-SCD: 7.0± 5.3 days; Thal: 5.7± 4.6; NonTx-SCD: 5.3± 3.8, p=0.16). Within the Tx-SCD group, adult subjects were 2.4 times more likely to be hospitalized in the previous 12 months compared to pediatric subjects (p=0.004, 95%CI 1.3–4.4). Roughly half of the SCD hospitalizations were for pain, whereas subjects with Thal were hospitalized for a variety of reasons, most often secondary to infection. Subjects with Thal were more likely to have routine iron assessments (LIC by biopsy: 66% vs. 37%), and screening for iron related organ injury such as thyroid function (TSH: 85% vs. 33%) and cardiac function (ECHO: 75% vs. 54%; EKG: 60% vs. 41%) compared to Tx-SCD (all p<0.001). Subjects with Thal had 3.4 times higher odds of having a recent liver biopsy compared to Tx-SCD (p<0.001; 95%CI: 2.2–5.3). Pediatric Tx-SCD subjects were more likely to have a biopsy compared to adults (46.5 vs. 23.5; p <0.001), however this likelihood was not related to serum ferritin level, duration of transfusion or chelation. Combining Thal and Tx-SCD groups, liver biopsy was more commonly performed at international vs. U.S. centers, (p<0.001), however the size of the clinical center was unrelated. Whereas, both regional and center size differences were observed in ECHO and TSH testing (p<0.01). A total of 26 subjects have died or exited from the study due to significant medical events. The mortality among adult Tx-SCD subjects was 2.8 fold greater than that of Thal (p=0.017). These data suggest that despite significant morbidity and iron burden, Tx-SCD subjects are monitored on a less frequent basis for iron related organ damage compared to Thal subjects. Differences were also observed in standards of care by region and center size. This disparity in care requires attention and guidelines for the assessment and management of Tx-SCD subjects should be developed and supported until the effect of iron overload in this population is better understood.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.222
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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