<i>Escherichia coli</i> Endocarditis Presenting With Septic Shock in an Immunocompetent Female Patient
Bibliographic record
Abstract
Escherichia coli ( E. coli ) is a rare cause of infective endocarditis, despite being a common cause of bacteremia. E. coli endocarditis affects most frequently immunocompromised elderly women, especially those with diabetes mellitus. We present a case of a 78-year-old female immunocompetent patient, presenting with septic shock and multiple organ dysfunction syndrome. E. coli was isolated in all sets of blood cultures and in urine culture and a contrast-enhanced abdominal computed tomography (CT) scan revealed spleen and left kidney infracts. Transthoracic echocardiography revealed a large (> 15 mm) mobile mass on the atrial side of the posterior mitral valve leaflet. The patient was initially treated with intravenous ceftriaxone and ciprofloxacin for 2 weeks with successful clinical response and clearance of bacteremia, was then subjected to valve replacement (with isolation of E. coli from replaced valve cultures) and continued antibiotic therapy for additional 4 weeks postoperatively. E. coli has emerged in recent years as an important cause of bacteremia, especially in the elderly. In selected patients, as those with persistent Gram-negative bacteremia or severe sepsis/septic shock, echocardiography is of paramount importance for the diagnosis of Gram-negative endocarditis and should be included in our diagnostic algorithm of patient's evaluation. Cardiol Res. 2019;10(5):318-322 doi: https://doi.org/10.14740/cr940
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".