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Record W4405047918 · doi:10.1182/blood-2024-208203

Mutational and Clinical Characteristics Associated with Atherosclerotic Disease Burden in the MDS Canada Database: A Single-Center Analysis of CT Coronary Artery Calcium Scores

2024· article· en· W4405047918 on OpenAlexaffabout
Arjun Pandey, Idan Roifman, Bo Wan, Theodore A. Kennedy, Signy Chow, Lee Mozessohn, Lisa Chodirker, Alexandre Mamedov, Iran Rashedi, Mohammed Siddiqui, Rashmi S. Goswami, Rena Buckstein

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of British ColumbiaHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineCoronary artery diseaseInternal medicineMyelodysplastic syndromesDatabaseCardiologyFamily historyOncologyBone marrow

Abstract

fetched live from OpenAlex

Introduction: Myelodysplastic syndromes (MDS) are a genetically/mutationally heterogenous group of myeloid cancers associated with bone marrow failure/cytopenias and with a predisposition towards progression to acute myeloid leukemia (AML). Cardiovascular disease is a major cause of mortality and morbidity in patients with MDS. Preclinical and clinical evidence increasingly support a mechanistic association between MDS and the precursor clonal hematopoiesis of indeterminate potential (CHIP) with atherosclerotic and coronary artery disease. In this ongoing analysis of the MDS-Canada database, we aim to determine clinical and mutational characteristics of patients with MDS associated with atherosclerotic disease burden (assessed by cardiac CT) at a single center. Methods: We included adults with a diagnosis of MDS, chronic myelomonocytic patients and low blast (20-29%) AML; patients with atypical CML, MDS/MPN with ring sideroblasts and thrombocytosis or MDS-MPN-unclassifiable were excluded. Banked bone marrow DNA/RNA samples are being used for NGS analysis. Cardiovascular risk factors (including hypertension, dyslipidemia, physical inactivity, family history, smoking history), history of established cardiovascular disease (including coronary artery disease, cardiomyopathy/heart failure and arrhythmias), medications (including antihypertensives, lipid-lowering medications, antiplatelet agents) and laboratory parameters (including lipid profiles and CRP) are being captured prospectively in the MDS-CVD study. Coronary artery calcium score assessment using CT Coronary angiogram, 2D echocardiogram and detailed lipid assessment is offered to consenting patients without an established history of CVD. Results: Coronary artery calcium score assessment has been performed in 21 patients to date. Median age of these patients was 78 (range: 53-87); 43% were female. Median IPSS-R of these patients was 2.0 and 62% were classified into “good” IPSS-R risk cytogenetics. MDS with ring sideroblasts (24%), MDS with multilineage dysplasia (14%) and MDS with excess blasts (14%) comprised the majority of WHO classifications; an additional 14% had CMML. 47% of patients were current or former smokers, 47% of patients were taking lipid-lowering medications, 29% were taking either beta-blockers or calcium channel blockers and 9.5% were taking antiplatelet agents. Mean systolic/diastolic blood pressure at time of enrollment was 133.4 (SD: 21.3) / 73.0 (SD: 9.8) mm Hg. Cardiovascular risk based on clinical and laboratory parameters was estimated using the Framingham and sex-stratified Reynold's risk scores in eligible patients (i.e. under 80 years of age): the median estimated risk of cardiovascular events over 10 years was 11.0% (range: 2.1%-18.7%) using the Framingham and 11.8% (range: 1.9%-27.0%) using the Reynold's risk scores respectively. Median coronary artery calcium score was 333 (range: 0-1947); 33% of patients had no to mild disease (CT Calcium score 0-100), 24% of patients had moderate disease (CT Calcium score 100-400) and 43% of patients had severe disease (CT Calcium score ≥ 400). Patients with severe disease were referred to cardiologists for additional investigations including stress tests and cardiovascular risk factor optimization including initiation of statins. Of those in the MDS-Canada database with CT Calcium score data, 11 patients additionally had NGS completed (with ongoing assessment for the remaining patients). Genes involved in DNA methylation (including TET2 [27%], DNMT3A [18%] and IDH2 [9%]) and RNA splicing (including SF3B1 [27%] and SRSF2 [18%]) were the most frequently mutated to date with a median of 2.5 mutations (range: 1-6) per patient. Conclusion: 43% of MDS patients without a history of CVD were found to have high coronary calcium scores indicative of potentially high atherosclerotic burden. NGS analysis and CT Coronary calcium scores are ongoing for 100 planned patients enrolled in a single-center of the MDS-CAN study. The mutational analysis of those with pre-existing overt CVD will be compared to those with occult disease or no disease. Analysis of baseline clinical characteristics and mutational analysis may inform features of MDS associated with a higher burden of atherosclerotic/coronary artery disease for early screening and intervention.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.255
Threshold uncertainty score0.513

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.041
GPT teacher head0.310
Teacher spread0.270 · 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
Published2024
Admission routes2
Has abstractyes

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