Role of hydrochloric acid in the treatment of central venous catheter infections in children with cancer
Bibliographic record
Abstract
BACKGROUND: The use of central venous catheters (CVCs) in pediatric cancer patients is associated with substantial risk of producing sepsis. The treatment of catheter-related infections has generally consisted of antibiotic administration with or without catheter removal. The authors report the first published experience using intraluminal hydrochloric acid (HCl) instillation as an adjunct to systemic antimicrobials in the management of catheter-related infections in children with cancer. METHODS: All episodes of intraluminal instillation of 2 M HCl in oncology patients at The Children's Hospital at Westmead between December 1994 and August 2000 were reviewed. Episodes of HCl use were identified from a prospectively maintained infection data base. Successful treatment was defined as no recurrence of infection and no need for CVC removal in the 100 days after HCl administration. RESULTS: Forty-two episodes of HCl instillation were evaluated that occurred in children in whom blood cultures remained positive despite 48 hours of appropriate, systemic antibiotics and formed the basis of this review. All patients had in situ a surgically placed, subcutaneously tunneled CVC. The combination of systemic antibiotic therapy and HCl instillation was successful in eradicating infection in 67% of infection episodes in this patient cohort. The catheter salvage rate was 83% in patients with isolated Gram-negative infections, 75% in patients with isolated fungemia, and 50% in patients with isolated Gram-positive infections. CONCLUSIONS: The results suggest that HCl instillation is a useful adjunct to systemic antibiotic therapy, enabling both catheter salvage and eradication of antibiotic-refractory catheter-related infection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 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".