Bibliographic record
Abstract
Bacteremia is a common complication for hemodialysis (HD) patients (pts) with an indwelling central venous catheter (CVC). We studied our experience with CAB and noted that CAB occurred at an average of 96 ± 98 days after CVC insertion. We wondered what percentage of CAB occurred in the first 21 days after CVC insertion and the spectrum of organisms. We prospectively collected data on all HD pts from 3 centers with a CVC who developed bacteremia between 1/1/03 and 8/31/04. Pts who developed CAB with an identifiable source of bacteremia were excluded. 131 episodes of CAB were identified; 34 (25.95%) occurred in ≤21 days. The mean ± SDEV age of the pts developing CAB > 21 days and ≤21 days was 63 ± 17 and 61.5 ± 15.4 years, respectively. Table 1 outlines the spectrum of organisms. There was a significantly greater incidence of CAB with Staphylococcus aureus(SA) and a significantly lower incidence of Staphylococcus epidermidis(SE) in the pts in whom a CAB developed ≤21 days after insertion. Table 1 <21 Days >21 Days P‐Value SA 20 (58.8%) 21 (21.6%) p < 0.01 SE 2 (5.9%) 30 (30.9%) p < 0.05 Other GP* 7 (20.6%) 15 (15.5%) NS GN^ 9 (26.5%) 40 (41.2%) NS *GP: gram‐positive; GN∧: gram‐negative We conclude that CAB occurs in the first 21 days after CVC insertion in 25% of our CVC pts. Pts developing CAB in the first 21 days are more likely to develop CAB with SA and less likely to develop CAB with SE than pts who develop CAB after 21 days. Empiric antibiotic choice and preventative strategies need to take these data into consideration.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".