Chest Radiography and Echocardiography Predictors of Early Hemodialysis Catheter Dysfunction
Bibliographic record
Abstract
Purpose: To determine whether radiographic heart morphology and echocardiography findings were associated with early central venous catheter (CVC) failure in hemodialysis patients. Materials & Methods: All hemodialysis catheter insertions between 1996-2007 were captured in a combined nephrology radiology database. Factors were identified that may be associated with early catheter failure. Factors examined included: echocardiography findings, radiographic evidence of flattened heart border, boot-shaped heart and left ventricular hypertrophy as well as patient comorbidities and peri-procedural characteristics. Results: Of the 132 CVC failures in 132 patients, 67 (50.8%) occurred within 30 days of insertion. Early CVC failure was more likely to occur in patients who had insertions from the left side (?2, p = 0.020) and with catheter tip position outside the cavoatrial junction (?2, p = 0.040). CVC failure rates also differed by year of placement (?2, p < 0.01), if the patient had evidence of left ventricular hypertrophy (?2, p = 0.030), left systolic dysfunction (?2, p = 0.030), and hypokinetic right wall mechanics (?2, p < 0.01). Conclusion: Radiographic findings of left ventricular hypertrophy and echocardiography findings of left systolic dysfunction were found to be associated with early failure.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".