Surgical and Medical Management of Isolated Tricuspid Valve Infective Endocarditis in Intravenous Drug Users
Bibliographic record
Abstract
BACKGROUND: Tricuspid valve (TV) infective endocarditis (IE) is a known complication of intravenous drug use (IVDU). This study assessed long-term outcomes of surgically and medically treated cases of TV IE. METHODS: This was a retrospective cohort study of all cases of native TV IE treated in London, Ontario between 2008 and 2011. Outcomes for medically and surgically managed cases were assessed at two years. Outcomes related to the timing of surgery were also assessed. RESULTS: Thirty-eight patients were included; seven received valve surgery: five repairs, two replacements. All patients had a history of IVDU. Baseline characteristics were equal in both groups. Death at two years was 43% in the surgical group and 26% in the nonsurgical group (p = 0.522). In those who received surgery within 30 days versus after 30 days from admission, death was 33% and 50%, respectively (p = 1.00). No patients received emergent surgery (within seven days of admission). Twenty-nine percent of the surgical group survived disease free versus 52% of the nonsurgical group. Survival with morbidity was mainly related to ongoing IVDU. The highest risk for mortality in both groups was ongoing IVDU. CONCLUSIONS: In IVDU-related TV IE the highest risk for mortality appears to be ongoing IVDU and persistent or recurrent endocarditis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".