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Enregistrement W4389230260 · doi:10.1182/blood-2023-189808

Clonal Hematopoiesis and Inflammation in the Vasculature (CHIVE), a Prospective, Longitudinal Clonal Hematopoiesis Cohort and Biorepository

2023· article· en· W4389230260 sur OpenAlexaff
J. Brett Heimlich, Morgan L. Shannon, Sydney Olson, Alexander J. Silver, Ariana Debevec, Zachary Copeland, Caitlyn Vlasschaert, Christina Snider, Ashwin Kishtagari, Donovan Brown, Travis Spaulding, Manasa R Bhatta, Kelly Pugh, Shannon Stockton, Jessica Ulloa, Yaomin Xu, Muhamed Baljević, Sanjay Mohan, Javid J. Moslehi, Eiman Jahangir, Brent Ferrell, David Slosky, Alexander G. Bick, Michael R. Savona

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésBiorepositoryMedicinePopulationMalignancyDiseaseProspective cohort studyInternal medicineOncologyImmunologyBioinformaticsBiologyBiobank

Résumé

récupéré en direct d'OpenAlex

Introduction Clonal hematopoiesis (CH), the expansion of a clonal population of hematopoietic cells, is an age-associated phenomenon leading to increased risk of both hematologic malignancy and non-malignant organ dysfunction. There have been significant advances in our understanding of the underlying pathophysiology of CH in recent years. However, additional studies are needed to better understand clinical trajectories and optimal care of patients with CH. To address this gap, the prospective, longitudinal CHIVE (Clonal Hematopoiesis and Inflammation in the VasculaturE) registry and biorepository was created to support multidisciplinary CH clinics. Methods Adults without active hematological malignancy who were clinically identified to have CH or who were at risk for CH were sequentially enrolled utilizing a multidisciplinary referral approach between October 2020 to April 2023 at Vanderbilt University Medical Center (VUMC). Research samples were procured at the time of routine clinical blood draws or bone marrow biopsies and stored in a newly established biorepository, equipped to store DNA, plasma, and viably cryopreserved cells to enable a spectrum of downstream applications. Specimens were sequenced on a highly cost efficient (~$6/sample) targeted next generation sequencing capture panel that identified mutations residing in the 24 most frequently mutated CHIP genes.The VUMC CH clinic, which serves as a referral pool, were included in Arm A of CHIVE (n=57). We also sought out a population at risk for CH which included patients over 18 years of age with a history of solid tumor, cardiovascular disease, renal disease, rheumatologic disease, or diabetes, who were included in Arm B (n=122). Patients from Arm A or B were included in the CH-positive (CH+) group if they met criteria for CH on the research assay at any time during their enrollment in the study. All other genotyped patients who were not found to have CH by the research assay, regardless of their clinical CH status at study enrollment, were included in the CH-negative (CH-) group.Anthropometric data and clinical assessments, including laboratories and cardiovascular studies obtained in the course of routine clinical care were extracted from the electronic health record, and recorded and maintained in the CHIVE database. Results 261 patients were approached for consent to enroll in CHIVE and 179 were ultimately enrolled. More than one half (54%) of all participants had a CH mutation (CH+) and of those, 49.5% were female. Median age of CH+ patients was 71.9 (IQR 64.0-77.5). DNMT3A (n=44) and TET2 (n=39) were the most commonly mutated genes, while variant allele fractions (VAF) ranged from 2.1 - 79.8% (Figure 1). 246 samples were serial samples collected from 89 patients at regular intervals. Significantly more CH+ patients had a diagnosis of coronary artery disease compared to CH- patients (55.7% vs 32.9%, p=0.004). CH+ patients also had increased rates of hypertension and heart failure compared to the CH- group (p<0.001, 0.035, respectively). Laboratory evaluation showed CH+ patients to have a lower median white blood cell count, hemoglobin, and platelets, and elevated blood urea nitrogen values compared to CH- patients, differences that did not meet statistical significance. 8.2% of the CH+ patients progressed to frank hematologic malignancy over the course of the 2.5-year study (Table 1). Eight of the 97 CH+ and 2 of the 82 CH- patients died over the course of the study period resulting in a trend toward decreased survival in CH+ patients (p=0.112). Conclusions We demonstrate the feasibility of a prospective, observational study of CH patients utilizing a robust referral network to support both clinical care and translational research. A well-genotyped and phenotyped cohort of CH patients will be critical to future translational research efforts and clinical trials - a key function of our study design. Early clinical findings from our cohort recapitulate large scale retrospective datasets where CH patients are at an increased risk of development of hematologic malignancy, end organ damage, and all-cause mortality. Scaling this resource in collaboration with other centers is underway and will ultimately enable the development of clinical guidelines and treatment strategies for this increasingly recognized patient population.

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)0,002
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 enseignants0,006
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
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 Opus0,011
Tête enseignante GPT0,261
Écart entre enseignants0,249 · 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

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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