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Record W4413965357 · doi:10.1016/j.jaccas.2025.104921

Elevated Lipoprotein(a) Levels and Massive Ruptured Root and Ascending Aortic Aneurysm

2025· article· en· W4413965357 on OpenAlexaff
Shubh Patel, Syed M. Ali Hassan, Nitish K Dhingra, R. Verma, Subodh Verma

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsAortic rootInternal medicineCardiologyAneurysmAortic aneurysmMedicineLipoprotein(a)LipoproteinSurgeryAortaCholesterol

Abstract

fetched live from OpenAlex

BACKGROUND: Rupture of a root and ascending aortic aneurysm is a rare, life-threatening condition requiring prompt recognition and surgical intervention. Elevated lipoprotein(a) levels have been implicated in vascular pathology but are less studied in thoracic aneurysms. CASE SUMMARY: A 61-year-old man who presented with severe dyspnea and chest tightness was found to have a 7.3-cm ruptured root and ascending aortic aneurysm with elevated lipoprotein(a) (233 nmol/L). He underwent emergency surgery, including a mechanical Bentall procedure, ascending aortic and hemiarch replacement, and bilateral pericardiectomy. At follow-up, he was clinically stable with a well-seated valve conduit and no complications. DISCUSSION: This case suggests a potential association between elevated lipoprotein(a) and thoracic aortic aneurysm rupture, possibly linked its proatherogenic and proinflammatory properties in vascular pathology. Further investigations are needed to clarify its role in aneurysm risk stratification. TAKE-HOME MESSAGES: Elevated lipoprotein(a) may contribute to thoracic aortic aneurysm progression. Its role in risk stratification warrants further investigation.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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 designCase report
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

Citations1
Published2025
Admission routes1
Has abstractyes

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