A Risk Factor Analysis of Axillary Web Syndrome in Patients After Breast Cancer Surgery

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Tsolmonbayar Tselbel
Purpose:

This study aimed to investigate the risk factors of the AWS in patients who underwent
breast cancer surgery.

Methods:

Our study included 56 patients, who attended physiotherapy after breast cancer surgery. The patients were divided into AWS and non-AWS groups according to their diagnosis. AWS were diagnosed by physical therapist assessment such as palpable cord of tissue and limited flexion and abduction movement of shoulder. Non-AWS group included patient who is diagnosed as a lymph edema or neuropathic pain. Cut-off value were determined based on ROC analysis. The chi-square test is used to evaluate the association between clinical characteristics and AWS. Uni-variate and multivariate logistic regression analyses were performed to assess the predictive factors of the AWS. A p-value of less than 0.05 was considered statistically significant. Statistical analysis were performed using SPSS-22.

Results:

Our result indicated that patient aged younger than 53 years old more likely to develop the AWS compared with older than 53 years old (p = 0.012). Similarly, body mass index (BMI) less than 27 patients significantly likelihood of developing AWS than BMI higher than 27 (p = 0.021). Days after surgery was also the significant factor, less than 55 days after surgery tend to develop AWS (p 0.001). In addition, higher pain score (>8) strongly associated with AWS (p 0.001). By uni-variate analysis, younger age (OR: 0.92, 95% CI: 0.86-0.99, p = 0.037), starting physical therapy earlier (OR: 0.99, 95% CI: 0.98-1.00, p = 0.012), and higher pain scores (OR: 1.6, 95% CI: 1.22-2.09, p 0.001) were significant predictors of AWS. Multivariate analyses were showed age (OR: 0.90, 95% CI: 0.81-0.99, p = 0.046), days after surgery (OR: 0.99, 95% CI: 0.98-1.00, p = 0.011), and pain score (OR: 1.22, 95% CI: 1.22-2.72, p = 0.003) remained significant predictor.

Conclusion(s):

Younger age, starting physical therapy earlier, and higher pain scores are significant predictors of AWS in both uni-variate and multivariate logistic regression models.

Implications:

Clinical management strategies for AWS should consider patient age, the timing of physical therapy initiation, and pain levels as important factors for risk assessment.

Funding acknowledgements:
Research is unfunded
Keywords:
Axillary web syndrome
physiotherapy
breast surgery
Primary topic:
Musculoskeletal: upper limb
Second topic:
Women's health
Did this work require ethics approval?:
Yes
Name the institution and ethics committee that approved your work:
National Cancer Center of Mongolia
Provide the ethics approval number:
01/1672
Has any of this material been/due to be published or presented at another national or international conference prior to the World Physiotherapy Congress 2025?:
No

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