Literature DB >> 27179393

Risk factors for deep sternal wound infection after cardiac surgery: Influence of red blood cell transfusions and chronic infection.

James B Cutrell1, Nicolas Barros2, Mandy McBroom3, James Luby2, Abu Minhajuddin3, W Steves Ring3, Philip E Greilich4.   

Abstract

BACKGROUND: Deep sternal wound infection (DSWI) following cardiac surgery is a serious complication, but risk factors associated with DSWI have not been fully elucidated.
METHODS: We analyzed all DSWI cases at our institution from 2010-2013 in adult cardiac median sternotomy cases, based on Society of Thoracic Surgeons or National Healthcare Safety Network definitions, but with 1-year surveillance postsurgery. Controls were matched 3:1 per case for procedure, age, and year of surgery. Demographic and operative data were pulled from Society of Thoracic Surgeons database and chart review. Potential variables were evaluated using univariate and multivariate conditional logistic regression.
RESULTS: Out of 1,894 surgeries performed, 39 DSWI cases (2%) and 117 controls were identified. In univariate analyses, patients with red blood cell (RBC) transfusion ≥ 4 units, any platelet transfusion, previous infections, and chronic infections were associated with higher DSWI. RBC transfusion ≥ 4 units (P = .037) and chronic infections (P = .029) remained significant risk factors for DSWI in multivariate analysis. Preoperative anemia alone was not associated with more DSWI, but its interaction with RBC transfusion ≥ 4 units was significant.
CONCLUSIONS: High-volume RBC transfusions and chronic infections were strongly associated with DSWI in our population and represent potentially modifiable areas for improvement.
Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anemia; Antibiotic prophylaxis; Prevention; Surgical site infection

Mesh:

Year:  2016        PMID: 27179393     DOI: 10.1016/j.ajic.2016.03.027

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  6 in total

1.  Bleeding Management Practices of Australian Cardiac Surgeons, Anesthesiologists and Perfusionists: A Cross-Sectional National Survey Incorporating the Theoretical Domains Framework (TDF) and COM-B Model.

Authors:  Bronwyn L Pearse; Samantha Keogh; Claire M Rickard; Daniel J Faulke; Ian Smith; Douglas Wall; Charles McDonald; Yoke L Fung
Journal:  J Multidiscip Healthc       Date:  2020-01-15

Review 2.  The management of deep sternal wound infection: Literature review and reconstructive algorithm.

Authors:  Pennylouise Hever; Prateush Singh; Inez Eiben; Paola Eiben; Dariush Nikkhah
Journal:  JPRAS Open       Date:  2021-03-06

3.  Obesity and Preoperative Anaemia as Independent Risk Factors for Sternal Wound Infection After Coronary Artery Bypass Graft Surgery with Pedicled (Non-Skeletonized) Internal Mammary Arteries: The Role of Thoracic Wall Ischemia?

Authors:  Yohan N'Guyen; Annick Lefebvre; Vito Giovanni Ruggieri; Sylvain Rubin; Aurélie Brunet; Anne Poncet; Ailsa Robbins; Odile Bajolet; Yves Saade
Journal:  Vasc Health Risk Manag       Date:  2020-12-15

4.  Barriers and facilitators to implementing evidence based bleeding management in Australian Cardiac Surgery Units: a qualitative interview study analysed with the theoretical domains framework and COM-B model.

Authors:  Bronwyn L Pearse; Samantha Keogh; Claire M Rickard; Yoke L Fung
Journal:  BMC Health Serv Res       Date:  2021-06-05       Impact factor: 2.655

Review 5.  Current perspectives on diagnosis and management of sternal wound infections.

Authors:  Erlangga Yusuf; Monica Chan; Nora Renz; Andrej Trampuz
Journal:  Infect Drug Resist       Date:  2018-07-16       Impact factor: 4.003

6.  A nomogram prediction model for sternal incision problems.

Authors:  Pan You; Xin Zhou; Ping He; Jian Zhang; Tongchun Mao; Xiang Li; Wei Wang; Renguo Wen; Ruiyan Ma; Shaoliang Wang; Yiming Zhang; Yingbin Xiao
Journal:  Int Wound J       Date:  2021-05-25       Impact factor: 3.315

  6 in total

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