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Record W2552815600 · doi:10.14740/jocmr2703w

Ischemic Stroke and Septic Shock After Subacute Endocarditis Caused by <i>Haemophilus parainfluenzae</i>: Case Report

2016· article· en· W2552815600 on OpenAlexvenueno aff
Mayra Gonçalves Menegüeti, Jaciara Machado-Viana, Gilberto Gambero Gaspar, Edson Antônio Nicolini, Aníbal Basile-Filho, Maria Auxiliadora‐Martins

Bibliographic record

VenueJournal of Clinical Medicine Research · 2016
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
FundersFundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São PauloUniversidade de São Paulo
KeywordsHaemophilus parainfluenzaeMedicineSeptic shockHaemophilusEndocarditisStroke (engine)MicrobiologyShock (circulatory)CardiologyInternal medicineSepsisBacteria

Abstract

fetched live from OpenAlex

Haemophilus parainfluenzae , which belongs to the HACEK ( Haemophilus ssp , Actinobacillus actinomycetemcomitans , Cardiobacterium hominis , Eikenella corrodens , and Kingella kingae ) group, is a rare cause of subacute endocarditis and may lead to ischemic stroke. A 65-year-old female patient previously diagnosed with rheumatic valve disease was submitted to surgical mitral valve repair in 1996. Physical examination did not reveal any murmurs; physical examination of the lungs and abdomen was normal. The patient was admitted to hospital with progressive dyspnea, dry cough, and fever. Transesophageal echocardiogram revealed an approximately 8-mm filamentous image with chaotic motion in the ventricular face of the anterior mitral valve leaflet compatible with vegetation. Treatment with ceftriaxone and gentamicin was initiated. Haemophilus parainfluenzae grew in five blood culture samples. Along the hospital stay, the patien t’s level of consciousness decreased, and she was diagnosed with ischemic stroke of cardioembolic etiology. The patient developed septic shock refractory to the prescribed treatment and died 12 days after admission. Even though the patient started being treated for endocarditis before the infectious agent was identified, the prompt use of antimicrobials hindered the growth of Haemophilus parainfluenzae and made its isolation difficult. J Clin Med Res. 2017;9(1):71-73 doi: https://doi.org/10.14740/jocmr2703w

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)0.010
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.106
GPT teacher head0.476
Teacher spread0.370 · 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 designNot applicable
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

Citations7
Published2016
Admission routes1
Has abstractyes

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