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Enregistrement 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 sur 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

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity of British ColumbiaHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineCoronary artery diseaseInternal medicineMyelodysplastic syndromesDatabaseCardiologyFamily historyOncologyBone marrow

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,255
Score d'incertitude au seuil0,513

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,004
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,310
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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