Ischemic Stroke and Septic Shock After Subacute Endocarditis Caused by <i>Haemophilus parainfluenzae</i>: Case Report
Bibliographic record
Abstract
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 ts 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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".