Incidence, Clinical Characteristics, and Impact of Absent Echocardiographic Signs in Patients With Infective Endocarditis After Transcatheter Aortic Valve Implantation
Bibliographic record
Abstract
BACKGROUND: Echocardiography is the primary imaging modality for diagnosis of infective endocarditis (IE) in prosthetic valve endocarditis (PVE) including IE after transcatheter aortic valve implantation (TAVI). This study aimed to evaluate the characteristics and clinical outcomes of patients with absent compared with evident echocardiographic signs of TAVI-IE. METHODS: Patients with definite TAVI-IE derived from the Infectious Endocarditis after TAVI International Registry were investigated comparing those with absent and evident echocardiographic signs of IE defined as vegetation, abscess, pseudo-aneurysm, intracardiac fistula, or valvular perforation or aneurysm. RESULTS: Among 578 patients, 87 (15.1%) and 491 (84.9%) had absent (IE-neg) and evident (IE-pos) echocardiographic signs of IE, respectively. IE-neg were more often treated via a transfemoral access with a self-expanding device and had higher rates of peri-interventional complications (eg, stroke, major vascular complications) during the TAVI procedure (P < .05 for all). IE-neg had higher rates of IE caused by Staphylococcus aureus (33.7% vs 23.2%; P = .038) and enterococci (37.2% vs 23.8%; P = .009) but lower rates of coagulase-negative staphylococci (4.7% vs 20.0%, P = .001). IE-neg was associated with the same dismal prognosis for in-hospital mortality in a multivariate binary regression analysis (odds ratio: 1.51; 95% confidence interval [CI]: .55-4.12) as well as a for 1-year mortality in Cox regression analysis (hazard ratio: 1.10; 95% CI: .67-1.80). CONCLUSIONS: Even with negative echocardiographic imaging, patients who have undergone TAVI and presenting with positive blood cultures and symptoms of infection are a high-risk patient group having a reasonable suspicion of IE and the need for an early treatment initiation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".