Retrospective study on the trajectories of lower limb volume after outpatient-based complex decongestive therapy in post-operative gynecological cancer patients with lymphedema
Autor: | Ayano Masui, Tsuyoshi Harada, Yoshihiro Noda, Ryo Soeda, Hisashi Kida, Tetsuya Tsuji |
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Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Supportive Care in Cancer. 31 |
ISSN: | 1433-7339 0941-4355 |
DOI: | 10.1007/s00520-023-07783-7 |
Popis: | Purpose To determine the effect of outpatient-based complex decongestive therapy in patients with secondary lower limb lymphedema (LLL) after gynecologic cancer surgery using group-based trajectory modeling (GBTM), and to examine factors predictive of the treatment course. Methods This retrospective study included participants who underwent surgery for gynecological cancer with pelvic lymph node dissection and subsequently visited the outpatient clinic for the treatment of stage II LLL according to the International Society of Lymphology. The improvement rate of edema at the initial visit and 3, 6, and 12 months later was assessed by calculating the volume of the lower extremity using the circumferential method. For evaluation of the patterns of treatment course, logistic regression analysis was performed after group estimation by the trend of the treatment course using GBTM. Results A total of 148 women (mean age 60.6 years (standard deviation: 13.4 years)) were analyzed. Three improvement trajectories were identified: (1) no response group, with worsening rather than improvement (n = 26); (2) moderate response group, with a slow improvement rate (n = 89); and (3) high response group, with a high improvement rate (n = 33). In addition, adherence to compression therapy at 3 months post-intervention was found to be a predictor in the no response group. Conclusions GBTM estimated that there are three patterns of the treatment course in patients with LLL after gynecologic cancer surgery. Adherence to compression therapy at 3 months post-intervention is a predictor of the treatment effectiveness. |
Databáze: | OpenAIRE |
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