Risk prediction for Staphylococcus aureus surgical site infection following cardiothoracic surgery; a secondary analysis of the V710-P003 trial

zu Verbundenen Objekten

Abstract: Background
Identifying patients undergoing cardiothoracic surgery at high risk of Staphylococcus aureus surgical site infection (SSI) is a prerequisite for implementing effective preventive interventions. The objective of this study was to develop a risk prediction model for S. aureus SSI or bacteremia after cardiothoracic surgery based on pre-operative variables.

Materials/Methods
Data from the Merck Phase IIb/III S. aureus vaccine (V710-P003) clinical trial were analyzed. In this randomized placebo-controlled trial, the effect of preoperative vaccination against S. aureus was investigated in patients undergoing cardiothoracic surgery. The primary outcome was deep/superficial S. aureus SSI or S. aureus bacteremia through day 90 after surgery. Performance, calibration, and discrimination of the final model were assessed.

Results
Overall 164 out of 7,647 included patients (2.1%) developed S. aureus infection (149 SSI, 15 bacteremia, 28 both). Independent risk factors for developing the primary outcome were pre-operative colonization with S. aureus (OR 3.08, 95% confidence interval [CI] 2.23–4.22), diabetes mellitus (OR 1.87, 95% CI 1.34–2.60), BMI (OR 1.02 per kg/m2, 95% CI 0.99–1.05), and CABG (OR 2.67, 95% CI 1.91–3.78). Although vaccination had a significant (albeit modest) protective effect, it was omitted from the model because its addition did not significantly change the coefficients of the final model and V710-vaccine development has been discontinued due to insufficient efficacy. The final prediction model had moderate discriminative accuracy (AUC-value, 0.72).

Conclusion
Pre-operative S. aureus colonization status, diabetes mellitus, BMI, and type of surgical procedure moderately predicted the risk of S. aureus SSI and/or bacteremia among patients undergoing cardiothoracic surgery

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
PLOS ONE. - 13, 3 (2018) , e0193445, ISSN: 1932-6203

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2019
Urheber
Paling, Fleur P.
Olsen, Karina
Ohneberg, Kristin
Wolkewitz, Martin
Fowler, Vance G.
DiNubile, Mark J.
Jafri, Hasan S.
Sifakis, Frangiscos
Bonten, Marc J. M.
Harbarth, Stephan
Kluytmans, Jan A. J. W.

DOI
10.1371/journal.pone.0193445
URN
urn:nbn:de:bsz:25-freidok-1468380
Rechteinformation
Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:36 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Original beim Datenpartner anzeigen

Beteiligte

Entstanden

  • 2019

Ähnliche Objekte (12)

Allergic sensitization to common inhalant allergens and its association to the self report of atopic diseases in the elderly : results of the population based ESTHER study

Hochschulschrift

Allergic sensitization to common inhalant allergens and its association to the self report of atopic diseases in the elderly : results of the population based ESTHER study

Postoperative Staphylococcus aureus infections in patients with and without preoperative colonization

Postoperative Staphylococcus aureus infections in patients with and without preoperative colonization

Neuraminidase inhibitors and hospital mortality in british patients with H1N1 influenza A: a re-analysis of observational data

Neuraminidase inhibitors and hospital mortality in british patients with H1N1 influenza A: a re-analysis of observational data

Methodological challenges of analysing COVID-19 data during the pandemic

Methodological challenges of analysing COVID-19 data during the pandemic

Response to “Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician” by Tleyjeh et al

Response to “Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician” by Tleyjeh et al

Accounting for length of hospital stay in regression models in clinical epidemiology

Accounting for length of hospital stay in regression models in clinical epidemiology

Stacked probability plots of the extended illness-death model using constant transition hazards – an easy to use shiny app

Stacked probability plots of the extended illness-death model using constant transition hazards – an easy to use shiny app

Stacked probability plots of the extended illness-death model using constant transition hazards – an easy to use shiny app

Stacked probability plots of the extended illness-death model using constant transition hazards – an easy to use shiny app

Basic parametric analysis for a multi-state model in hospital epidemiology

Basic parametric analysis for a multi-state model in hospital epidemiology

Association of Staphylococcus aureus bacterial load and colonization sites with the risk of postoperative S. aureus infection

Association of Staphylococcus aureus bacterial load and colonization sites with the risk of postoperative S. aureus infection

Association of staphylococcus aureus colonization and pneumonia in the intensive care unit

Association of staphylococcus aureus colonization and pneumonia in the intensive care unit

Mechanical ventilation and the daily cost of ICU care

Mechanical ventilation and the daily cost of ICU care

Verbundene Objekte