ArticleInternational wound journal2020
Factors associated with postsurgical wound infections among breast cancer patients: A retrospective case-control record review.
Article in International wound journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Postoperative Infection After Implant-Based Breast Reconstruction: Risk Factors and Clinical Burden in a Large Single-Center Cohort.Journal of clinical medicine · 2026Article
- Comprehensive analysis of risk factors for postoperative wound infection following radical mastectomy in breast cancer patients.International wound journal · 2024Article
- Factors associated with postsurgical wound infections among breast cancer patients: A retrospective case-control record review.International wound journal · 2020Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Women with non-metastatic breast cancer will be offered surgery as their first option. Unfortunately, studies have shown that the most common postoperative complication is surgical wound infection (SWI). We investigated the prevalence of SWI in breast cancer patients and identified the factors predictive of its development. The study was conducted at the breast cancer centre in Singapore. A retrospective case-control review of medical records was used. During the 2013 to 2016 study period, there were 657 postsurgical breast cancer patients with only 105 records eligible for the study. The sample consisted of one to four case:control (21:84), matched according to their age at the time of their surgery. Patients presenting with SWI were grouped into cases, while those without SWI were grouped into the controls. Chi-square test and Mann-Whitney U test were used to identify risk factors associated with SWI. Regression analysis of predictive variables from the univariate analyses was included. These variables were type of breast surgery, implants, comorbidities, previous surgery, previous chemotherapy, surgical drains, seroma, blood transfusion, surgeon department, and length of stay. The prevalence of SWI was 9%. Demographic, clinical, and comorbidities were not associated with SWI. However, multivariate analysis found that "surgeon department," "discharged with surgical drains," and "postoperative seroma" were predictive of SWI. Monitoring SWI is indispensable to minimise burdens on individuals and institutions. Health care professionals should identify high-risk patients based on the identified predictive variables. A cross-institutional record review of SWI in postoperative breast cancer patients should be conducted.
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