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Record W2566361795 · doi:10.1093/ofid/ofw172.1171

Pharmacodynamics of Antimicrobial Prophylaxis in Cardiac Surgery: Association Between Intraoperative Cefazolin Concentrations and Postoperative Infections

2016· article· en· W2566361795 on OpenAlexaff
Sheryl Zelenitsky, Divna Calic, Robert E. Ariano, Rakesh C. Arora, Hilary P. Grocott

Bibliographic record

VenueOpen Forum Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineCefazolinPharmacodynamicsAntimicrobialCardiac surgeryAntibiotic prophylaxisInternal medicineAnesthesiaSurgeryAntibioticsPharmacokineticsMicrobiology

Abstract

fetched live from OpenAlex

Background. Although the benefits of antimicrobial prophylaxis (AP) are well established, studies that characterize antimicrobial activity in preventing surgical site infections (SSIs) are limited. The goal of this study was to conduct a pharmacodynamic analysis of intraoperative cefazolin concentrations and postoperative infections in patients undergoing cardiac surgery. Methods. A PD analysis was conducted using data from a prospective pharmacokinetic study of cefazolin during cardiac surgery with cardiopulmonary bypass. Cefazolin prophylaxis was administered as per standard practice. Blood samples were collected after the preoperative dose, prior to intraoperative doses, and within 15 minutes of wound closure. Cefazolin plasma concentrations were measured using liquid chromatography with tandem mass spectrometric detection. Patient and surgery data were collected from medical records, and SSIs were monitored for 30 days after surgery. Univariate analysis was used to identify potential risk factors for SSI (e.g. age, body weight, cefazolin prophylaxis, duration of surgery) and multivariate analysis was performed with significant variables (P < 0.1) using a backward, stepwise approach in a binary logistic-regression model (SYSTAT). Results. Forty patients (65 ± 10 years, 88 ± 16 kg) with complete data were included in the analysis. A mean preoperative cefazolin dose of 23.5 ± 5.4 mg/kg was administered 35 ± 13 minutes prior to incision. At least one additional intraoperative dose was given in 30 cases. The mean duration of surgery was 243 ± 71 minutes, and median [IQR] cefazolin closure concentration (concclos) was 88.5 [50.4 – 139.5] mg/L. Eight patients received antimicrobial therapy for a superficial SSI. In the final logistic-regression model, surgery duration (P = 0.02) and cefazolin concclos (P = 0.04) were the only independent variables associated with SSI. Critical thresholds identified using Classification and Regression Tree (CART) analysis were surgery duration <346 minutes (SSI rate of 14.3% versus 60%) and cefazolin concclos >104 mg/L (SSI rate of 5.9% versus 30.4%). Conclusion. This study demonstrates the potential importance of cefazolin concentration at wound closure (concclos) in providing optimal AP and preventing postoperative infections in patients undergoing cardiac surgery. Disclosures. All authors: No reported disclosures.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.292
Teacher spread0.281 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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