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Record W86594966 · doi:10.4137/cmc.s874

Fever and Peripheral Emboli in an Immunocompetent Host: A Case of Aspergillus Endocarditis

2008· article· en· W86594966 on OpenAlexaff
Derek Yung, Sadiya Kukaswadia, Asma Ali, Shariq Haider, Omid Salehian

Bibliographic record

VenueClinical medicine Cardiology · 2008
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsMedicineEndocarditisInfective endocarditisChillsSurgeryEmbolectomyPetechial rashAortic valvePulmonary embolism

Abstract

fetched live from OpenAlex

Despite diagnostic and therapeutic advances in medical, surgical, and critical care, the mortality rate for Aspergillus endocarditis remains dismal (approaching 100%). We report a case of a 49 year old immunocompetent woman with recent aortic valve prosthesis who presents with fever, chills, sweats, left facial droop, left arm weakness, petechial rash and cyanotic toes. Initial trans-esophageal echo was normal but a repeat study revealed a 9 × 5 mm vegetation abutting the aortic prosthesis. Microbiological correlation could not be documented despite the presence of persistent fever through serial blood cultures, and the diagnosis of Aspergillus fumigatus endocarditis was ultimately made on embolectomy specimen when she developed an ischemic right leg. Aggressive medical treatment was initiated with intravenous voraconazole, liposomal amphotericin-B and heparin. The timing of surgical intervention was contemplated, but was precluded by multiple comorbidities. She succumbed to her illness after developing cerebral herniation following intraparenchymal hemorrhage. The effectiveness of combined medical intervention and surgical valve replacement for Aspergillus endocarditis is therefore contingent on high diagnostic suspicion and early echocardiographic detection in a high risk individual with features of culture-negative endocarditis.

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)0.002
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 score0.006
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.077
GPT teacher head0.395
Teacher spread0.318 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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