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Record W2166936986 · doi:10.4021/jocmr1032w

Catheter Associated Blood Stream Infections in Patients Receiving Parenteral Nutrition: A Prospective Study of 850 Patients

2013· article· en· W2166936986 on OpenAlexvenueno aff
O’Connor

Bibliographic record

VenueJournal of Clinical Medicine Research · 2013
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal jugular veinParenteral nutritionSubclavian veinCatheterBlood streamProspective cohort studySurgeryAseptic processingInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Data was prospectively collected on 850 consecutive patients undergoing central venous catheterisation (CVC) to receive total parenteral nutrition (TPN) in a major university teaching hospital over a 46 months period. METHODS: Data included information about CVC insertion and clinical outcomes, most notably, suspected catheter-related blood stream infections (CRBSI). RESULTS: The internal jugular vein was the most common site (n = 882, 68%), followed by the subclavian vein (n = 344, 24.6%) and femoral vein (n = 95, 6.5%). The CRBSI rate per 100 line feeding days was 0.93% in patients cared for in a non ICU setting versus 1.98% for ICU managed patients. The mean number of line days preceding a pyrexial spike was 13.1. CRBSI was commonest in patients with femoral lines (n = 21/95, 22.1%), especially those cared for in a non-ICU setting (29.6% versus 14.5% for those in the ICU group). Preference should be given to internal jugular or subclavian-sited CVCs in ICU and non-ICU patients to reduce the risk of CRBSI. If femoral catheterisation is unavoidable, strict attention to aseptic technique is mandatory. CONCLUSION: The aim of this study was to investigate the rate and pattern of CRBSI and to recommend changes in protocol, technique and equipment as deemed necessary from these findings.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.156
GPT teacher head0.526
Teacher spread0.370 · 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 teacher head, not a consensus.

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

Citations31
Published2013
Admission routes1
Has abstractyes

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