Evidence-Based Practice Guideline for the Management of Lymphedema Proposed by the Japanese Lymphedema Society

Factors Predicting Treatment Adherence in Outpatients with Cancer-Related Edema: Decision Tree Analysis

Purpose

This study aimed to determine the combination of factors associated with continuity of care in outpatients with cancer-related edema six months after the initial visit.

Patients and Methods

A total of 101 outpatients were divided into two groups: continuation (n=65) and non-continuation (n=36) groups. Details regarding age, body mass index, sex, affected extremities (upper or lower), site of edema (unilateral or bilateral), International Society of Lymphology (ISL) classification, presence of distant metastasis, and overall score on the lymphedema quality of life questionnaire (LYMQOL) were obtained before initial lymphedema care. In this study, we performed a decision tree analysis using a classification and regression tree (CART) to detect the combination of factors associated with the continuity of edema care for cancer-related edema.

Results

Significant differences were observed in the site of edema (unilateral or bilateral) and distant metastasis between the two groups. In the decision tree using CART analysis, the factors selected to influence the possibility of continuation were the side of edema as the first layer, and body mass index of 23.0 and distant metastasis (with/without) as the second layer. Outpatients with unilateral edema and a body mass index higher than 23.0 were most likely to be able to continue care. In contrast, outpatients with bilateral edema and distant metastasis had greater difficulty in continuing care.

Conclusion

In this study, factors that were suggested to influence the continuity of cancer-related edema care were the side with edema, body mass index higher than 23.0, and distant metastasis. This information may be helpful for developing care strategies and improving patient adherence.

Intra- and inter-rater reliabilities of skin mechanical properties measured in healthy individuals using skin elasticity meter

PURPOSE

The aim of this study is to establish a standardized measurement method and to examine the intra- and inter-reliabilities and absolute reliability of measuring skin mechanical properties using a skin elasticity meter (Cutometer®).

METHODS

Ten healthy participated in the study. Skin mechanical properties were measured at four sites: upper arm, lower arm, upper leg and lower leg on both sides in supine position using a non-invasive skin elasticity meter by two trained different raters. The measurements include quantitative indices of the maximal distensibility (R0), elasticity (R2, R5, R7), and viscoelasticity (R6). Intra- and inter- relative reliabilities were determined using the intraclass correlation coefficient (ICC) (1,1) and ICC (2,1) methods, respectively. The absolute reliability was assessed via the Bland-Altman analysis. Moreover, we evaluated the minimal detectable change at a 95% confidence level (MDC95).

RESULTS

At each site, the ICC (1,1) values were >0.90, and the ICC (2,1) values were >0.50. The Bland-Altman analysis did not reveal any fixed errors, and several sites and parameters have proportional errors.

CONCLUSIONS

In this study, intra- and inter-reliabilities were measured at "excellent" and more than "moderate" levels, respectively. However, because some proportional errors were observed, the limits of reliability agreement should be considered when using the proposed methods. We believe that the results of this study can be applied to clinical research in field of rehabilitation treatment.

Retrospective study on the trajectories of lower limb volume after outpatient-based complex decongestive therapy in post-operative gynecological cancer patients with lymphedema

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.

Risk factors for arm lymphedema following breast cancer surgery: a Japanese nationwide database study of 84,022 patients

BACKGROUND

Although arm lymphedema is a well-known complication following breast cancer surgery, previous studies involving a small population showed inconsistent results regarding the risk. Therefore, we examined the risk factors using a Japanese nationwide database.

METHODS

Female patients who underwent breast cancer surgery from April, 2016, to March, 2020, were identified from a Japanese nationwide database. Multivariable survival analyses for 19 baseline factors (12 patient characteristics, four tumor characteristics, and three surgical procedures) were conducted to investigate risk factors associated with treatments for postoperative lymphedema (such as lymphatic bypass, compositive drainage therapy, hospitalization, and Kampo use) with a multilevel model to adjust for within-hospital clustering. We also conducted multivariable analysis for five postoperative factors (two local complications and three postoperative therapies) with adjustment for 19 baseline factors.

RESULTS

The study included 84,022 patients; 1547 (1.8%) received treatments for lymphedema during a median follow-up of 119 weeks (interquartile range, 59-187 weeks). Young age, obesity, smoking, collagen diseases, advanced cancer stage, total mastectomy, axillary dissection, postoperative bleeding, chemotherapy, and radiotherapy were identified as risk factors. Postoperative chemotherapy (hazard ratio, 3.78 [95% confidence interval, 3.35-4.26]) and axillary dissection (2.46 [1.95-3.11]) showed the highest odds ratio among the risk factors. The cumulative probabilities in high-risk patients reached approximately 3% at 1 year and 6% at 4 years after surgery.

CONCLUSIONS

This study identified several risk factors for postoperative lymphedema in breast cancer surgery. The treatment initiation increased markedly within the first year and gradually after 1 year post-surgery.