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Infections 
Controlling exit site infections: Does it decrease the incidence of catheter‐related bacteremia in children on hemodialysis?

2005· article· en· W1990862179 on OpenAlexvenueno aff
Ali Mirza Onder, Jayanthi Chandar, S. Coakley, Carolyn Abitbol, Brenda Montané, G Zilleruelo

Bibliographic record

VenueHemodialysis International · 2005
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisBacteremiaExit siteDialysisIncidence (geometry)CatheterSurgeryHemodialysis CatheterEtiologyComplicationInfection controlSkin floraInternal medicineAntibioticsMicrobiology

Abstract

fetched live from OpenAlex

The most common complication of tunneled‐cuffed hemodialysis catheters is catheter‐related bacteremia (CRB), which contributes to patient morbidity and loss of vascular access. Gram positive microorganisms are the most common etiologic agents; coagulase negative staphylococcus and corynebacterium species are the two most prevalent strains in our center. These are the common inhabitants of skin flora, suggesting that infection of catheters occur through the exit site. The Biopatch is a chlorhexidine impregnated dressing designed to keep the exit site from colonization with skin flora. This may decrease the incidence of CRB due to organisms from the skin. Objective: To investigate whether the application of the biopatch at the exit site has any effect on the incidence and the etiology of CRB. Methods: Chart review of 63 pediatric chronic hemodialysis patients who were dialysed between January 1999 and December 2003 was performed. The mean age at start of hemodialysis was 13.9 ± 4.6 years. The pre‐Biopatch era started in January 1999 till the end of June 2001, and the Biopatch era started in July 2001 to December 2003. Biopatch was applied at the beginning of every dialysis week after Betadine cleansing of the exit site, which was then covered with a transparent dressing. In the pre‐Biopatch era, the exit site was cleansed with Betadine at every dialysis session and then covered with a transparent dressing. Results: The use of the Biopatch at the exit site caused a significant decrease in the exit site infections. However, contrary to what was expected, there was no decrease in the incidence of CRB. Pre‐Biopatch Era Biopatch Era p value Gram positive infections % 76% 76% NS Gram negative infections % 10% 14% NS Polymicrobial infections % 14% 10% NS Total number of infections 108 (19 patients) 143 (29 patients) NS Exit site infections‐number 20 (9 patients) 5 (3 patients) p < 0.05 Conclusion: The use of the Biopatch decreases exit site infections. However, it fails to decrease the incidence of CRB. It has no effect on the etiologic agent of the bacterial 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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.015
GPT teacher head0.316
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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