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Record W2917413602 · doi:10.3171/2018.10.peds18420

Calgary Shunt Protocol, an adaptation of the Hydrocephalus Clinical Research Network shunt protocol, reduces shunt infections in children

2019· article· en· W2917413602 on OpenAlexaffabout
Michael Yang, Walter Hader, Kelly J. Bullivant, Mary Brindle, Jay Riva-Cambrin

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2019
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsShunt (medical)MedicineHydrocephalusNeurosurgeryUnivariate analysisSurgeryConfoundingInternal medicineMultivariate analysis

Abstract

fetched live from OpenAlex

OBJECTIVE: The shunt protocol developed by the Hydrocephalus Clinical Research Network (HCRN) was shown to significantly reduce shunt infections in children. However, its effectiveness had not been validated in a non-HCRN, small- to medium-volume pediatric neurosurgery center. The present study evaluated whether the 9-step Calgary Shunt Protocol, closely adapted from the HCRN shunt protocol, reduced shunt infections in children. METHODS: The Calgary Shunt Protocol was prospectively applied at Alberta Children's Hospital from May 23, 2013, to all children undergoing any shunt procedure. The control cohort consisted of children undergoing shunt surgery between January 1, 2009, and the implementation of the Calgary Shunt Protocol. The primary outcome was the strict HCRN definition of shunt infection. Univariate analyses of the protocol, individual elements within, and known confounders were performed using Student t-test for measured variables and chi-square tests for categorical variables. Multivariable logistic regression was performed using stepwise analysis. RESULTS: Two-hundred sixty-eight shunt procedures were performed. The median age of patients was 14 months (IQR 3-61), and 148 (55.2%) were male. There was a significant absolute risk reduction of 10.0% (95% CI 3.9%-15.9%) in shunt infections (12.7% vs 2.7%, p = 0.004) after implementation of the Calgary Shunt Protocol. In univariate analyses, chlorhexidine was associated with fewer shunt infections than iodine-based skin preparation solution (4.1% vs 12.3%, p = 0.02). Waiting ≥ 20 minutes between receiving preoperative antibiotics and skin incision was also associated with a reduction in shunt infection (4.5% vs 14.2%, p = 0.007). In the multivariable analysis, only the overall protocol independently reduced shunt infections (OR 0.19 [95% CI 0.06-0.67], p = 0.009), while age, etiology, procedure type, ventricular catheter type, skin preparation solution, and time from preoperative antibiotics to skin incision were not significant. CONCLUSIONS: This study externally validates the published HCRN protocol for reducing shunt infection in an independent, non-HCRN, and small- to medium-volume pediatric neurosurgery setting. Implementation of the Calgary Shunt Protocol independently reduced shunt infection risk. Chlorhexidine skin preparation and waiting ≥ 20 minutes between administration of preoperative antibiotic and skin incision may have contributed to the protocol's quality improvement success.

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)0.005
metaresearch head score (Gemma)0.017
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.081
GPT teacher head0.381
Teacher spread0.300 · 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

Citations20
Published2019
Admission routes2
Has abstractyes

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