Scripta Medica (Jan 2021)
Factors influencing efficacy of complete decongestive treatment in patients with breast cancer-linked arm lymphoedema
Abstract
Background/Aim: The most recommended form of lymphoedema therapy is complete decongestive treatment (CDT). Efficacy of CDT in patients with arm lymphoedema related to malignant breast tumour has reported in many studies, but the predictive factors of outcome of this therapy have not been yet sufficiently investigated. The purpose of this research was to identify predictive factors of efficacy of CDT in patients with breast cancer-linked arm lymphoedema throughout the intensive phase of therapy. Methods: The prospective study included 51 patients with breast cancer-linked arm lymphoedema who were subjected to a 3-week program of CDT. Patients' clinical and demographic features, breast cancer treatment characteristics, lymphoedema and CDT characteristics were collected and assessed for their prognostic value. The influence of certain predictors on the degree of lymphoedema reduction was evaluated by multivariate linear regression analysis. Results: Mean age was 58.1 ± 8.0 (95 % CI: 55.8 - 60.3), median of BMI was 28.4 kg/m2 (95 % CI: 27.2 - 29.6). The average duration of lymphoedema was 36.5 ± 43.9 months (95 % CI: 24.1 - 48.8). The mean size of lymphoedema before CDT was 6.99 ± 5.36 %, and the mean degree of lymphoedema reduction was 63.7 ± 28.6 %. The mean compliance to bandages was 217.5 ± 97.8 hours (95 % CI: 190.0 - 245.0) and 7 (13.7 %) patients had a history of erysipelas of the ipsilateral arm. When observing each individual predictor, statistically most significant contribution showed the size of lymphoedema before the therapy (p < 0.001), then history of erysipelas (p < 0.01), and patients' age (p < 0.05). Conclusion: Size of lymphoedema before treatment is the most crucial prognostic factor of the efficacy of CDT in the patients with breast cancer-linked arm lymphoedema. The present study also identified history of erysipelas and patients age as independent predictors of the CDT efficacy.
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