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Record W2916039073 · doi:10.3171/2018.11.peds18373

Reinfection rates following adherence to Infectious Diseases Society of America guideline recommendations in first cerebrospinal fluid shunt infection treatment

2019· article· en· W2916039073 on OpenAlexaff
Tamara D. Simon, Matthew P. Kronman, Kathryn B. Whitlock, Samuel R. Browd, Richard Holubkov, John R. W. Kestle, Abhaya V. Kulkarni, Marcie Langley, David D. Limbrick, Thomas G. Luerssen, W. Jerry Oakes, Jay Riva-Cambrin, Curtis J. Rozzelle, Chevis N. Shannon, Mandeep S. Tamber, John C. Wellons, William E. Whitehead, Nicole Mayer-Hamblett

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2019
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNIH Clinical CenterNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeInfectious Diseases Society of AmericaPatient-Centered Outcomes Research Institute
KeywordsMedicineGuidelineAntibioticsInternal medicineIntensive care medicineInfection controlHydrocephalusPediatricsSurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: CSF shunt infection treatment requires both surgical and antibiotic decisions. Using the Hydrocephalus Clinical Research Network (HCRN) Registry and 2004 Infectious Diseases Society of America (IDSA) guidelines that were not proactively distributed to HCRN providers, the authors previously found high adherence to surgical recommendations but poor adherence to intravenous (IV) antibiotic duration recommendations. In general, IV antibiotic duration was longer than recommended. In March 2017, new IDSA guidelines expanded upon the 2004 guidelines by including recommendations for selection of specific antibiotics. The objective of this study was to describe adherence to both 2004 and 2017 IDSA guideline recommendations for CSF shunt infection treatment, and to report reinfection rates associated with adherence to guideline recommendations. METHODS: The authors investigated a prospective cohort of children younger than 18 years of age who underwent treatment for first CSF shunt infection at one of 7 hospitals from April 2008 to December 2012. CSF shunt infection was diagnosed by recovery of bacteria from CSF culture (CSF-positive infection). Adherence to 2004 and 2017 guideline recommendations was determined. Adherence to antibiotics was further classified as longer or shorter duration than guideline recommendations. Reinfection rates with 95% confidence intervals (CIs) were generated. RESULTS: There were 133 children with CSF-positive infections addressed by 2004 IDSA guideline recommendations, with 124 at risk for reinfection. Zero reinfections were observed among those whose treatment was fully adherent (0/14, 0% [95% CI 0%-20%]), and 15 reinfections were observed among those whose infection treatment was nonadherent (15/110, 14% [95% CI 8%-21%]). Among the 110 first infections whose infection treatment was nonadherent, 74 first infections were treated for a longer duration than guidelines recommended and 9 developed reinfection (9/74, 12% [95% CI 6%-22%]). There were 145 children with CSF-positive infections addressed by 2017 IDSA guideline recommendations, with 135 at risk for reinfection. No reinfections were observed among children whose treatment was fully adherent (0/3, 0% [95% CI 0%-64%]), and 18 reinfections were observed among those whose infection treatment was nonadherent (18/132, 14% [95% CI 8%-21%]). CONCLUSIONS: There is no clear evidence that either adherence to IDSA guidelines or duration of treatment longer than recommended is associated with reduction in reinfection rates. Because IDSA guidelines recommend shorter IV antibiotic durations than are typically used, improvement efforts to reduce IV antibiotic use in CSF shunt infection treatment can and should utilize IDSA guidelines.

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)0.024
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.027
GPT teacher head0.302
Teacher spread0.275 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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