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Bioimpedance Analysis for Predicting Outcomes of Complex Decongestive Therapy for Gynecological Cancer Related Lymphedema: A Feasibility Study

OBJECTIVE: To determine whether the bioimpedance analysis (BIA) ratios of upper to lower extremities could predict treatment outcomes after complex decongestive therapy (CDT) for gynecological cancer related lymphedema (GCRL). METHODS: A retrospective study, from March 2015 to December 2018, was con...

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Detalles Bibliográficos
Autores principales: Bae, Su Hwan, Kim, Won Jun, Seo, Yu Jin, Kim, JaYoung, Jeon, Jae Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Rehabilitation Medicine 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349036/
https://www.ncbi.nlm.nih.gov/pubmed/32640783
http://dx.doi.org/10.5535/arm.19102
Descripción
Sumario:OBJECTIVE: To determine whether the bioimpedance analysis (BIA) ratios of upper to lower extremities could predict treatment outcomes after complex decongestive therapy (CDT) for gynecological cancer related lymphedema (GCRL). METHODS: A retrospective study, from March 2015 to December 2018, was conducted. The study sample comprised patients receiving CDT, 30 minutes per day, for 10 days. Bioimpedance was measured pre- and post-CDT. Circumference measurements were obtained at 20 and 10 cm above the knee (AK) and 10 cm below the knee (BK). We calculated the expected impedance at 0 Hz (R0) of extremities and upper/lower extremity R0 ratios (R0(U/L)). We evaluated the relationship between R0(U/L) and changes in R0(U/L) and circumferences, pre- and post-CDT. RESULTS: Overall, 59 patients were included in this study. Thirty-one lower extremities in 26 patients comprised the acute group, and 38 lower extremities in 33 patients comprised the chronic group. Pre-treatment R0(U/L) was significantly correlated with R0(U/L) change after adjusting for age and BMI (acute: R=0.513, p<0.01; chronic: R=0.423, p<0.01). In the acute group, pre-treatment R0(U/L) showed a tendency to be correlated with circumference change (AK 20 cm: R=0.427, p=0.02; AK 10 cm: R=0.399, p=0.03). CONCLUSION: Our study results suggested that pre-treatment BIA could predict volume reductions after CDT in the early stages of GCRL. These findings implied that BIA value could be one possible parameter to apply in treatment outcomes prediction, during the early stage of GCRL. Therefore, further large-scale prospective studies will be beneficial.