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Record W1982136651 · doi:10.1097/sla.0000000000000938

Antibiotic Prophylaxis to Prevent Surgical Site Infections in Children

2014· article· en· W1982136651 on OpenAlexafffund
Amir Khoshbin, Jeannette So, Ilyas Aleem, Derek Stephens, Anne Matlow, James G. Wright

Bibliographic record

VenueAnnals of Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsInstitute for Clinical Evaluative SciencesCanadian Patient Safety InstituteUniversity of TorontoSickKids FoundationHospital for Sick ChildrenMcMaster University
FundersCenters for Disease Control and PreventionHospital for Sick Children
KeywordsMedicineAntibiotic prophylaxisAntibioticsConfidence intervalGuidelineRelative riskMedical recordAmerican society of anesthesiologistsSurgerySurgical woundOdds ratioLogistic regressionInternal medicine

Abstract

fetched live from OpenAlex

In Brief Objective: To investigate the association between antibiotic prophylaxis (AP) and surgical-site infection in pediatric patients. Background: Surgical-site infections (SSIs) are a major cause of postoperative morbidity and mortality. Despite numerous studies in adults, benefit of AP in preventing SSIs in children is uncertain. Methods: Patients aged 0 to 21 years who underwent surgical procedures at a pediatric acute care hospital from April 1, 2009, to December 31, 2010, were assessed. Antibiotic prophylaxis indication and administration according to an evidence-based guideline were recorded. Complete compliance was defined as AP given, when indicated, within 60 minutes before incision. Surgical-site infections were identified using the Centers for Disease Control and Prevention criteria and documented in the medical records using the International Classification of Diseases, Tenth Revision. Multiple logistic regressions adjusting for age, sex, American Society of Anesthesiologists status, wound classification, admission status, surgical discipline, and surgical duration evaluated association of AP compliance and SSI. Results: Of 5309 patients for whom antibiotics were indicated, 3901 (73.5%) with complete compliance had an infection rate of 3.0%, whereas 1408 (26.5%) who were not compliant had an infection rate of 4.3% (adjusted relative risk: 0.7; 95% confidence interval: 0.5–0.9; P = 0.02). Of 4156 patients for whom antibiotics were not indicated, the 895 (21.5%) who received antibiotics had an infection rate of 1.7% compared with 0.7% in the 3261 (78.5%) who did not receive antibiotics (adjusted relative risk: 1.6; 95% confidence interval: 0.8–3.1; P = 0.18). Conclusions: In pediatric surgery, complete compliance with AP was associated with 30% decreased risk of SSI. Surgical site infections are a major cause of postoperative morbidity and mortality, but benefit of antibiotic prophylaxis in children is uncertain. Association between compliance with antibiotic prophylaxis guidelines and surgical site infections was evaluated in 9465 patients at a pediatric acute care hospital. Appropriate antibiotic prophylaxis decreased risk of infection by 30%.

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 score0.058
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

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

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 head0.070
GPT teacher head0.337
Teacher spread0.267 · 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

Citations60
Published2014
Admission routes2
Has abstractyes

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