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Record W4410609590 · doi:10.1016/j.jacadv.2025.101760

Early Cardiovascular Events in Recipients of Allogeneic Hematopoietic Stem Cell Transplantation

2025· article· en· W4410609590 on OpenAlexafffund
Nazanin Aghel, Vincent Wang, Darryl P. Leong, Michelle Lui, Luo‐Qin Fu, Dina Khalaf, Irwin Walker, Christopher Hillis, Brian Leber, Harry Klimis, Anne Holbrook, Catherine Demers, Philip Joseph, Kylie Lepic, Alejandro Garcia‐Horton, Tobias Berg, Jeffrey H. Lipton, MyLinh Duong, Jane Turner, Jinhui Ma

Bibliographic record

VenueJACC Advances · 2025
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsImpactPrincess Margaret Cancer CentreOntario Clinical Oncology GroupMcMaster University Medical CentreJuravinski Cancer CentreHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersHamilton Health Sciences
KeywordsMedicineCumulative incidenceHazard ratioHematopoietic stem cell transplantationInternal medicineTransplantationMyocardial infarctionEjection fractionIncidence (geometry)Heart failureStroke (engine)Retrospective cohort studyCardiologyHeart transplantationCohortSurgeryConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HSCT) is associated with organ toxicities, including cardiovascular (CV) complications. Data on contemporary acute postallogeneic HSCT cardiac complications and their impact on survival are scant. OBJECTIVES: The aim of the study was to determine the incidence of early CV events following allogeneic HSCT and their effect on survival within the first 100 days. METHODS: We conducted a single-center retrospective cohort study of adult patients who underwent allogeneic HSCT between 2004 and 2022. CV outcomes were a composite of CV death, myocardial infarction, heart failure, arrhythmia, stroke, or transient ischemic attack in early (≤100 days) postallogeneic HSCT. RESULTS: The 100-day cumulative incidences of CV events in 852 patients (median age: 54 years; 58.57% male) was 5.55% (95% CI: 4.13%-7.26%). The most frequent cardiac event was atrial arrhythmia (cumulative incidence: 3.92% [95% CI: 2.84%-5.56%]), followed by heart failure (cumulative incidence: 2.07% [95% CI: 1.26%-3.24%]). Age (subhazard ratio [SHR] per year: 1.07; 95% CI: 1.03-1.13) and left ventricular ejection fraction <50% before transplant (SHR: 3.16; 95% CI: 1.43-6.98) were independently associated with increased risk of CV events. Nonfatal CV events during the first 100 days were independently associated with an increased hazard of nonrelapse mortality (SHR: 6.25; 95% CI: 2.83-13.79) and all-cause mortality (HR: 5.79; 95% CI: 2.87-11.68). CONCLUSIONS: Although CV events are relatively uncommon in the first 100 days in patients after allogeneic HSCT, the occurrence of CV events is associated with high nonrelapse and all-cause mortality rates. Close monitoring of patients who develop CV events is recommended.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.208
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.263
Teacher spread0.251 · 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 teacher head, 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

Citations2
Published2025
Admission routes2
Has abstractyes

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