Factors other than the Duke criteria associated with infective endocarditis among injection drug users.
Bibliographic record
Abstract
BACKGROUND: Modified Duke criteria were applied to consecutive injection drug users (IDUs) who were admitted to an inner-city hospital with a clinical suspicion of infective endocarditis, and the presence of any other clinical variables that were predictive of the presence of infective endocarditis was determined. METHODS: Clinical data on consecutive IDUs who were hospitalized over 15 months in Vancouver were collected. Data included the admission history, and findings on physical examination and on initial laboratory investigations. Each subject's course in hospital was followed until discharge or death during the index hospitalization. Follow-up data collected included culture results, the interpretation of the echocardiogram and the discharge diagnosis. The modified Duke criteria were used for the diagnosis of infective endocarditis (definite, possible or rejected). Multiple logistic regression was used to determine what clinical variables (exclusive of the Duke criteria) available within 48 hours of presentation were independent predictors of infective endocarditis. RESULTS: One hundred IDUs were enrolled. Fifty-one were female, and 58 were HIV-positive. Twenty-three met the modified Duke criteria for definite infective endocarditis, and 25 had possible infective endocarditis. IDUs with definite infective endocarditis were more commonly noted to have evidence of vascular phenomena (arterial embolism, septic pulmonary infarction, mycotic aneurysm, intracranial hemorrhage or Janeway lesions) (6 [26%]) than those who had possible endocarditis (1 [4%]). Those with definite infective endocarditis more often had multiple opacities on chest radiography (56% v. < 12%), and fewer had an obvious source of infection (52% v. 72% and 81% of possible and rejected infective endocarditis, respectively). Among febrile IDUs, definite endocarditis was highly associated with having no obvious source of infection (odds ratio 3.1 [95% confidence interval 1.1-8.7]) compared with febrile IDUs with an obvious source of infection. In similarly compared groups, the presence of hematuria, proteinuria or pyuria was also predictive of definite endocarditis (odds ratio 2.9 [95% CI 1.1-8.6]). CONCLUSIONS: Among IDUs, the modified Duke criteria are useful for classifying cases with definite infective endocarditis and rejecting cases without infective endocarditis. The classification of possible infective endocarditis is suitable for this population.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".