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Record W4415112763 · doi:10.12890/2025_005752

Acute aortic thrombosis with limb ischemia in a patient with influenza A

2025· article· en· W4415112763 on OpenAlexaff
Richard H. Osborne

Bibliographic record

VenueEuropean Journal of Case Reports in Internal Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicAortic Thrombus and Embolism
Canadian institutionsSinai Health System
Fundersnot available
KeywordsThrombosisLimb ischemiaArterial diseasePeripheralArterial Ischemic StrokeStroke (engine)Ischemia

Abstract

fetched live from OpenAlex

Background: Influenza A is associated with venous and, less commonly, arterial thrombosis. Stroke and myocardial infarction comprise most arterial events, with only rare involvement of the aorta and peripheral arteries. Case report: We report a 61-year-old male hospitalized for influenza A pneumonia and rhabdomyolysis who developed acute right lower limb ischemia on day 7 of his admission. Computed tomography scan of the abdomen revealed acute descending and infrarenal aortic thrombosis with embolic occlusion of the right popliteal artery. He underwent successful embolectomy and fasciotomy with good functional outcome. Conclusion: This case demonstrates that Influenza A infection may provoke severe and unusual thrombotic events, even during the convalescent phase of illness. Prompt diagnosis and intervention are required to reduce the risk of limb amputation and mortality. LEARNING POINTS: While influenza A is a known trigger for major arterial events such as stroke and myocardial infarction, this report demonstrates it may also provoke peripheral arterial thrombosis, resulting in critical limb ischemia.The diagnosis of arterial thrombosis requires a high index of suspicion, as it may occur during the convalescent phase of illness and result in loss of limb and death without emergent intervention.Although case reports suggest arterial thrombosis may be mediated by disease severity and traditional cardiovascular risk factors, limb ischemia may develop in patients without a prior history of thrombosis or established cardiovascular disease.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.299
Teacher spread0.284 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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