MétaCan
Menu
Back to cohort
Record W4414579295 · doi:10.1016/j.jaccas.2025.105226

Cardiogenic Shock Patient Found to Have Cardiac Amyloidosis and Concurrent Multiple Myeloma

2025· article· en· W4414579295 on OpenAlexaff
Andy Jiang, Manraj Dhillon, Rajat Sharma, Paul Boucher, Yinong Wang, Nowell M. Fine, Omid Kiamanesh

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCardiogenic shockCardiac amyloidosisHeart failureMultiple myelomaAmyloidosisEtiologyDifferential diagnosis

Abstract

fetched live from OpenAlex

BACKGROUND: Cardiac amyloidosis is an under-recognized cause of heart failure. CASE SUMMARY: A 61-year-old man presented with acute decompensated heart failure and cardiogenic shock requiring peripheral venoarterial extracorporeal membrane oxygenation support. Endomyocardial biopsy revealed a diagnosis of light-chain cardiac amyloidosis. Work-up for incidentally noted hypercalcemia also revealed a rare diagnosis of concurrent multiple myeloma. Unfortunately, the patient clinically deteriorated with limited treatment options and ultimately died in hospital. DISCUSSION: We discuss this case in relation to the complexities of recognizing and making a diagnosis of cardiac amyloidosis as well as the atypical presentation with cardiogenic shock and concurrent multiple myeloma. TAKE-HOME MESSAGES: A broad differential diagnosis is required in patients with heart failure and worsening cardiogenic shock, including under-recognized etiologies such as cardiac amyloidosis. Though rare, cardiac amyloidosis can co-occur with multiple myeloma, and making the diagnosis early is important to inform available treatment options.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score1.000

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 head0.008
GPT teacher head0.266
Teacher spread0.258 · 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.

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJACC Case ReportsSame topicAmyloidosis: Diagnosis, Treatment, OutcomesFrench-language works237,207