Reduction in hemodialysis catheter‐related bloodstream infections after implementation of a novel care program
Bibliographic record
Abstract
BACKGROUND: Catheter-related bloodstream infection (CRBSI) due to dialysis is the major factor causing morbidity and mortality factor for patients undergoing hemodialysis and is associated with additional costs for these patients. This study investigated the effect of a novel care program in terms of reducing CRBSIs for hemodialysis patients with nontunneled (temporary) catheters inserted in their femoral veins. METHODS: This study included dialysis patients (inpatients and outpatients) from July 2018 to September 2019, covering two periods, pre-intervention (baseline period) and intervention with a novel care program (novel care period). The novel care program was initiated on December 1, 2018. The CRBSI rates (/1000 catheter-days) for the baseline and novel care periods were compared, and the characteristics of the pathogens were determined. FINDINGS: Of a total of 72 patients, 33 were from the baseline period and 39 were from the novel care period. Patients in the baseline and novel care periods had the catheter inserted in their femoral veins for a median of 20 and 29 days, respectively. The CRBSI rate decreased by 82.63%, from 8.52/1000 catheter-days in the baseline period to 1.48/1000 catheter-days in the novel care period (p = 0.036). The most common organisms involved in CRBSIs were coagulase-negative staphylococcus and Burkholderia cepacia (26% for both). DISCUSSION: The novel care program reduced the incidence of CRBSIs in patients with temporary catheters inserted in their femoral veins.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| 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".