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Awareness of and Identifying Iron Overload in Transfusion-Dependent Patients Can Be Improved: A Retrospective Review At a Single Tertiary Care Centre

2011· review· en· W2980326575 on OpenAlexaffabout
Nicole Hugel, Cyrus C. Hsia

Bibliographic record

VenueBlood · 2011
Typereview
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsVictoria HospitalLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineTertiary careThalassemiaHematologyTransfusion medicineIncidence (geometry)Blood transfusionPediatricsRetrospective cohort studyInternal medicineIntensive care medicine

Abstract

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Abstract Abstract 5283 Awareness of and Identifying Iron Overload in Transfusion-dependent Patients can be improved: A Retrospective Review at a Single Tertiary Care Centre Nicole Hugel, HBSc1 and Cyrus C. Hsia, HBSc, MD, FRCPC2. 1Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada, 2Schulich School of Medicine and Dentistry, University of Western Ontario, Division of Hematology, Department of Medicine, London Health Sciences Centre, London, ON, Canada. Introduction: Several patient populations, including those with thalassemia, sickle cell disease, and bone marrow failure syndromes, often require red blood cell (RBC) transfusions and are at risk of iron overload. Chronic RBC transfusions lead to an increase in morbidity and mortality, particularly as a result of iron overload, proven in patients with thalassemia major and implicated in certain bone marrow failure syndromes such as myelodysplasia. Guidelines currently recommend iron chelation in these various clinical settings, yet the true incidence of iron overload and physician awareness patterns remain unknown. Iron overload is likely under recognized and under managed. We aim to determine the incidence of iron overload in transfusion-dependent patients in a general tertiary care centre and to determine if physicians are adequately screening for and considering treatment for iron overload. Methods: All adult patients at a single tertiary care centre, London Health Sciences Centre (LHSC), who received at least one RBC transfusion between January 1, 2006 and December 31, 2008, were captured through the local Blood Transfusion Laboratory (BTL) database. Patients who were deemed transfusion-dependent, defined as having received a minimum of 12 units of RBCs in any 12 month period with at least one RBC transfusion every 8 weeks, were identified for further analysis. This was based on the World Health Organization (WHO) criteria for RBC transfusion dependency in patients with myelodysplastic syndrome (MDS), where RBC transfusion dependency was defined as having at least one RBC transfusion every 8 weeks over a period of 4 months. Full chart reviews for these patients from the beginning of the study period to up to 12 months after the last transfusion in the LHSC BTL database during the study period were performed. For these transfusion-dependent patients, the number who had ferritin levels checked was determined. Those who had a ferritin level >1000μg/L were considered to have iron overload. Finally, of these patients who were transfusion-dependent with iron overload, full chart reviews during the study period were undertaken to determine if treating physicians considered monitoring for and treating the iron overload. Results: The LHSC BTL database included a total of 67449 RBC transfusions administered to 12486 unique patients during the study period. 1200 patients (6.6%) received at least 12 units of RBCs during the study period and were evaluated further. 48 adult patients (0.4%) satisfied the criteria for RBC transfusion dependence. Of the 48 transfusion-dependent patients, 40 (83.3%) had a ferritin value measured during and/or up to 12 months following the end of the study period. 30 (75.0%) transfusion-dependent patients with a ferritin measurement were deemed to have iron overload, consisting of patients with MDS (n=13), myelofibrosis (n=4), beta thalassemia (n=3), red cell aplasia (n=3), aplastic anemia (n=1), and other diagnoses (n=6). In this smaller cohort of 30 patients, 24 patients (80.0%) had physicians that referred to the possibility of iron overload in the clinical notes and only 16 patients (53.3%) were treated with iron chelation at some point during the study period. Conclusions: In a general tertiary care centre the percentage of transfusion-dependent patients is low compared to the total number of patients who are transfused. The percentage of transfusion-dependent patients who treating physicians monitored for or identified iron overload and subsequently managed were slightly higher than previous published rates. However, awareness of and identifying iron overload in transfusion-dependent patients at a general tertiary care centre can be improved. Disclosures: Hugel: Novartis: Unspecified Educational Fund.

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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)0.004
metaresearch head score (Gemma)0.019
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: Review · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.269
Teacher spread0.251 · 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
GenreReview

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".

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Citations0
Published2011
Admission routes2
Has abstractyes

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