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Quality of Life Outcomes of the Age of Blood In Highly Transfusion Dependent Patients with Myelodysplasia: Prospective Randomized Controlled N-of-1 Studies

2010· article· en· W2557618506 on OpenAlexaffabout
Justin Chia, Maayan Seitelbach, Ian Chin‐Yee, Cyrus C. Hsia

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsVictoria HospitalLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineBlood transfusionAnemiaQuality of life (healthcare)Randomized controlled trialRandomizationMyelodysplastic syndromesProspective cohort studyIntensive care medicineInternal medicine

Abstract

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Abstract Abstract 4411 Introduction: Anemia is the most common objective manifestation of the myelodysplastic syndromes (MDS), and excessive fatigue is experienced in over 80% of patients. Transfusion is essential for the management of anemia in these patients. Past studies have investigated the age of transfused blood and its effect on outcome in various acute clinical settings such as critically ill, post-cardiac surgery, trauma, and brain injury patients. However, few studies have investigated the age of transfused blood in chronically transfused patients such as MDS and its impact on quality of life (QoL) and hemoglobin (Hb) levels in these populations. Methods: The aim of our study was to compare QoL outcomes between fresh (transfused within 7 days of donation) and standard issue (transfused between 8 to 42 days, mean 20.5 days locally) blood in highly transfusion dependent patients including those with MDS. The Functional Assessment Cancer Therapy Anemia subscale (FACT-An) was utilized for QoL assessment in a series of prospective “N-of-1” trials design. An “N-of-1” study was performed for each of the participants. Each participant was randomized to receive a total of four transfusions of fresh blood and four transfusions of standard issue blood. Randomization tables were created for each participant “N-of-1” study a priori. The participants, nurses and investigators were blinded to the age of blood administered. Prior to each transfusion, and again after 24 hours, participants completed the FACT-An survey. Post transfusion Hb levels were measured prior to a subsequent transfusion. For each FACT-An parameter and Hb level, mean results were derived for the four fresh blood transfusions and for the four standard blood transfusions. These were analyzed using an unpaired Student's t-test. Results: Twenty patients were enrolled into the study at the London Health Sciences Centre (LHSC), London, Ontario, Canada. Participants included 8 males and 12 females with a mean age of 64.5 years. There were a total of 13 MDS participants (5 males, 8 females) and seven participants (3 males, 4 females) with other diseases that required them to be transfusion dependent. At the time of abstract submission, 1 participant has completed his “N-of-1” study. For this one individual, analysis comparing the pooled results of the four fresh blood transfusions versus the pooled results of the four standard issue blood transfusions was done. No significant difference was seen between fresh blood transfusions versus standard blood transfusions for all of the FACT-An parameters and post-transfusion Hb levels. Conclusions: Improving QoL is an essential component in the management of chronic diseases such as the myelodysplastic syndromes. We have designed a series of “N-of-1” studies to detect a potential difference between fresh versus standard issue red blood cells. The preliminary data from a single participant who has completed this “N-of-1” study suggest that there is no significant difference in QoL measures and Hb levels. The study has fully enrolled and demonstrated the feasibility of this novel approach to evaluating the clinical benefits of transfusion. To our knowledge this is the first reported “N-of-1” study in transfusion. Disclosures: No relevant conflicts of interest to declare.

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)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.248
Teacher spread0.241 · 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 designRandomized trial
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".

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Citations2
Published2010
Admission routes2
Has abstractyes

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