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Record W3214923683 · doi:10.1182/blood-2021-153569

Myelodysplastic Syndromes: Have You Seen Your Patient Beyond His Hemoglobin?

2021· article· en· W3214923683 on OpenAlexaboutno aff
Raíssa Pires Camargo Ebert, Mariana Munari Magnus, Cristina Bueno Terzi, Antônio Luís Eiras Falcão, Fernando Ferreira Costa, Sara T.O. Saad, Paula de Melo Campos

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMyelodysplastic syndromesPopulationQuality of life (healthcare)Palliative careDiseasePsychosocialDeliriumHematologic diseasePediatricsAsymptomaticAdvance care planningIntensive care medicineInternal medicinePsychiatryBone marrow

Abstract

fetched live from OpenAlex

Abstract Background: Palliative care (PC) is a patient-centered care model that aims to relief suffering by establishing a plan of care that integrates physical, psychosocial, cultural, familial and spiritual issues during the course of disease's evolution. Thus, PC applies not only to patients who face a diagnosis beyond the possibility of cure, but to all those who experience significant symptoms throughout the course of the disease. Myelodysplastic syndromes (MDS) are a heterogeneous group of myeloid neoplasms characterized by cytopenias and an elevated risk of developing acute leukemia. As MDS display a wide genetic heterogeneity, patients have a variable clinical presentation, ranging from asymptomatic patients to individuals with severe cytopenias and high-risk disease. MDS are more prevalent in the elderly population, which usually experience several morbidities; thus, MDS frequently lead to notable symptoms and deterioration of quality-of-life, making most of them eligible to PC in addition to standard hematologic care. In spite of that, previous studies demonstrated that patients with hematologic malignancies appear to have restricted access to PC services and receive more aggressive therapies at the end of life. Aims: To evaluate eligibility criteria for PC in a cohort of MDS patients and correlate with clinical and laboratory data. Methods: Clinical and demographic data of MDS patients were collected through interviews using a standardized questionnaire: time from diagnosis, number of morbidities, need for seeking the emergency during the last 12mo, delirium events, wounds, dysphagia, recurrent falls, adverse events to medication, quality of communication with the medical team, fears regarding the disease and its complications, religious support, age, gender, monthly household income and level of schooling. Specific PC scores were also applied: Edmonton Symptom Assessment Scale (ESAS) and Palliative Performance Scale (PPS). Clinical and laboratory data were collected: hemoglobin (Hb), platelet and neutrophil counts, Revised International Prognostic Scoring System (IPSS-R) and transfusion burden. Statistical univariate and multivariate analysis were performed. P value <.05 was considered statistically significant. This research was approved by the Institutional and National Review Board; written informed consent was obtained from all subjects. Results:Thirty-six patients were evaluated: median age 68y (21-90), sex 16F/20M. According to ESAS, tiredness and anxiety were the most relevant symptoms in MDS patients [median (min-max)]: pain 0 (0-10), tiredness 4.5 (0-10), drowsiness 1.5 (0-10), nausea 0 (0-7), lack of appetite 0 (0-10), shortness of breath 0 (0-10), depression 0 (0-10), anxiety 3.5 (0-10), best wellbeing 2.5 (0-8). Younger patients (<60y, n=10) had a worse ESAS for best wellbeing (5 (2-8)) when compared to older individuals (≥60y, n=26): (2 (0-7)), p=.007, and tended to have worse ESAS scores for tiredness: 8.5 (0-10) vs 3.5 (0-10), p=.56. Importantly, ESAS for tiredness was not correlated to Hb levels, the number of red blood cell transfusions nor with IPSS-R (all p>.05). ESAS for drowsiness was significantly higher in patients with two (5 (0-10)) and ≥three morbidities (3 (0-8) vs those with only one morbidity (0 (0-10)): p=.01 and p=.03, respectively. ESAS for best wellbeing was better in individuals with higher household income 0 (0-0) vs patients with lower financial resources 3 (0-7), p=.04). PPS median was 90% (60-100%) and negatively correlated with transfusion burden (r=0.407, p=.01) and with the need for seeking the emergency in the past 12mo (r=-0.332, p=.04). Finally, despite facing a potential life-threatening disease, 94.4% of the patients reported that their doctors had never talked to them about aspects related to end-of-life care. Conversely, 75% of them reported fears and doubts regarding this phase. Conclusions: In our casuistic of MDS patients, tiredness was the most important symptom observed. Surprisingly, it was not correlated with Hb levels and transfusion burden, suggesting that Hb levels alone should not be used to justify symptoms. The number of morbidities and lower household income also impacted ESAS scores. Finally, a great part of the patients revealed miscommunication with their hematologists regarding end-of-life planning. Our data indicate that MDS patients might benefit from a PC multidisciplinary team approach. Disclosures Costa: Novartis: Consultancy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.275
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreCommentary

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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Citations1
Published2021
Admission routes1
Has abstractyes

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