Open AccessFactors associated with postsurgical wound infections among breast cancer patients: A retrospective case‐control record review
Author(s) -
Tan Rachel Zhao Fang,
Yong Bernice,
Aloweni Fazila Abu Bakar,
Lopez Violeta
Publication year - 2020
Publication title -
international wound journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.867
H-Index - 63
eISSN - 1742-481X
pISSN - 1742-4801
DOI - 10.1111/iwj.13421
Subject(s) - medicine , breast cancer , seroma , medical record , retrospective cohort study , univariate analysis , cancer , surgery , mastectomy , multivariate analysis , surgical wound , breast surgery , complication
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.