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Record W4200299822 · doi:10.1017/ice.2021.493

Mechanical complications of central venous catheters in children: A cohort study

2021· article· en· W4200299822 on OpenAlexaff
Kieran Moore, David J Greencorn, Nadine Smith, Joanne M. Langley, Ketan Kulkarni

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2021
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicineComplicationCatheterConfidence intervalCentral venous catheterSurgeryIncidence (geometry)PopulationAdverse effectInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the numerous advantages of central venous catheters (CVCs), they have been associated with a variety of complications. Surveillance for mechanical complications of CVCs is not routine, so the true incidence and impact of this adverse patient outcome remains unclear. SETTING AND METHODS: Prospectively collected CVC data on mechanical complications were reviewed from a centralized database for all in-hospital patient days at our tertiary-care hospital from January 2001 to June 2016 in patients aged <19 years. Patient demographics, CVC characteristics, and rates of mechanical complications per 1,000 days of catheter use were described. RESULTS: In total, 8,747 CVCs were placed in 5,743 patients during the study period, which captured 780,448 catheter days. The overall mechanical complication rate was 6.1 per 1,000 catheter days (95% confidence interval [CI], 5.9-6.3). The highest complication rates were in nontunneled lines; this was consistent throughout the 15-year study period. Also, 521 CVCs (∼6%) were removed due to mechanical complications before therapy termination. Catheters with tip location in the superior vena cava or right atrium had the fewest complications. CONCLUSIONS: Mechanical complications of CVCs are a common and significant event in the pediatric population. We propose that CVC-associated mechanical complications become a routinely reported patient safety outcome.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.349
Teacher spread0.323 · 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.

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

Citations8
Published2021
Admission routes1
Has abstractyes

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