A scoring system for predicting the risk of breast cancer-related lymphedema.
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ABSTRACT:
SUBMITTER: Li F
PROVIDER: S-EPMC7031125 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Publications
A scoring system for predicting the risk of breast cancer-related lymphedema.
Li Fenglian F Lu Qian Q Jin Sanli S Zhao Quanping Q Qin Xueying X Jin Shuai S Zhang Lichuan L
International journal of nursing sciences 20191214 1
<h4>Objective</h4>We aimed to establish a scoring system to predict the risk of breast cancer-related lymphedema.<h4>Methods</h4>From April 2017 to December 2018, 533 patients who previously underwent surgery for breast cancer were enrolled in this cross-sectional study. Univariate analysis was performed to explore and define the risk factors. A scoring system was then established on the basis of odds ratio values in the regression analysis.<h4>Results</h4>The additive scoring system values rang ...[more]
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Project description:ObjectivePredictive models for the occurrence of cancer symptoms by using machine learning (ML) algorithms could be used to aid clinical decision-making in order to enhance the quality of cancer care. This study aimed to develop and validate a selection of classification models that used ML algorithms to predict the occurrence of breast cancer-related lymphedema (BCRL) among Chinese women.MethodsThis was a retrospective cohort study of consecutive cases that had been diagnosed with breast cancer, stages I-IV. Forty-eight variables were grouped into five feature sets. Five classification models with ML algorithms were developed, and the models' performance and the variables' relative importance were assessed accordingly.ResultsOf 370 eligible female participants, 91 had BCRL (24.6%). The mean age of this study sample was 49.89 (SD = 7.45). All participants had had breast cancer surgery, and more than half of them had had a modified radical mastectomy (n = 206, 55.5%). The mean follow-up time after breast cancer surgery was 28.73 months (SD = 11.71). Most of the tumors were either stage I (n = 49, 31.2%) or stage II (n = 252, 68.1%). More than half of the sample had had postoperative chemotherapy (n = 227, 61.4%). Overall, the logistic regression model achieved the best performance in terms of accuracy (91.6%), precision (82.1%), and recall (91.4%) for BCRL. Although this study included 48 predicting variables, we found that the five models required only 22 variables to achieve predictive performance. The most important variable was the number of positive lymph nodes, followed in descending order by the BCRL occurring on the same side as the surgery, a history of sentinel lymph node biopsy, a dietary preference for meat and fried food, and an exercise frequency of less than three times per week. These factors were the most influential predictors for enhancing the ML models' performance.ConclusionsThis study found that in the ML training dataset, the multilayer perceptron model and the logistic regression model were the best discrimination models for predicting the outcome of BCRL, and the k-nearest neighbors and support vector machine models demonstrated good calibration performance in the ML validation dataset. Future research will need to use large-sample datasets to establish a more robust ML model for predicting BCRL deeply and reliably.
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Project description:Long-term surveillance is necessary to identify patients at risk of developing secondary lymphedema after breast cancer surgery. We assessed how sodium selenite supplementation would affect breast cancer-related lymphedema (BCRL) symptoms and parameters in association with antioxidant effects. A randomized, double-blind, controlled trial was conducted on 26 participants with clinical stage II to III BCRL. The control group (CTRL, n = 12) and selenium group (SE, n = 14) underwent five sessions of 0.9% saline and 500 μg sodium selenite (Selenase®) IV injections, respectively, within 2 weeks. All patients were educated on recommended behavior and self-administered manual lymphatic drainage. Clinical diagnosis on lymphedema by physicians, bioimpedance data, blood levels of oxidative markers, including glutathione (GSH), glutathione disulfide (GSSG), malondialdehyde (MDA), glutathione peroxidase activity (GSH-Px), and serum oxygen radical absorbance capacity (ORAC) levels, were investigated at timelines defined as baseline, 2-week, and follow-up. Sodium selenite increased whole blood selenium concentration in the SE group. Compared to the baseline, at 2 weeks, 75.0% of participants in clinical stage showed improvement, while there was no change in the CTRL group. At follow-up, 83.3% and 10.0% of the SE and CTRL, respectively, showed stage changes from III to II (p = 0.002). Extracellular water (ECW) ratios were significantly reduced at 2 weeks and follow-up, only in the SE group. Blood GSH, GSSG, GSH/GSSG ratio, MDA, and ORAC levels did not change by selenium supplementation. Sodium selenite improved diagnostic stages of BCRL along with ECW ratios, although the beneficial effect might not be related to its antioxidant activity. Selenite's effect on lymphedema may be associated with non-antioxidant properties, such as anti-inflammation and immune function. Further mechanistic research using a larger population is needed.
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Project description:Tumor-infiltrating immune cells (TIICs) and metastasis are crucial characteristics for tumorigenesis. However, the potential role of their combination in breast cancer (BRCA) remains elusive. Herein, on the basis of quantifying TIICs and tumor metastasis together, we established a precise prognostic scoring system named metastatic and immunogenomic risk score (MIRS) using a neural network model. MIRS showed better performance when compared with other published signatures. MIRS stratifies patients into a high risk subtype (MIRShigh) and a low risk subtype (MIRSlow). The MIRShigh patients exhibit significantly lower survival rate compared with MIRSlow patients (P<0.0001), higher response to chemotherapy, but lower response to immunotherapy. Conversely, higher infiltration level of TIICs and significantly prolonged survival (P=0.029) are observed in MIRSlow patients, indicating sensitive response in immunotherapy. This work presents a promising indicator to guide treatment options of the BRCA population and provides a predicted webtool that is almost universally applicable to BRCA patients.
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Project description:ObjectiveThe aim of this study was to determine whether adherence to self-care modalities for breast cancer-related lymphedema (BCRL) predicts BCRL outcomes among 128 breast cancer survivors who participated in the 12-mo physical activity and lymphedema trial.DesignThis was a prospective cohort study. Adherence to ten BCRL self-care modalities, as recommended in the clinical practice guidelines for the management of BCRL, was assessed by a questionnaire at baseline. BCRL outcomes assessed at baseline and 12 mos included volumetry, circumferences, bioimpedence spectroscopy, the Norman lymphedema survey, and therapist-defined lymphedema exacerbations requiring treatment. Generalized linear models were used to estimate the relationship between adherence to BCRL self-care modalities and the likelihood of experiencing a BCRL outcome.ResultsAdherence to BCRL self-care activities did not predict experiencing any BCRL outcomes at 12 mos. Levels of adherence to BCRL self-care modalities did not predict a 5% or greater decrease in interlimb volume (Ptrend = 0.79), 5% or greater decrease in the sum of interlimb arm circumferences (Ptrend = 0.47), 10% or greater decrease in bioimpedence spectroscopy (Ptrend = 0.83), 1 or greater decrease in self-reported lymphedema symptoms (Ptrend = 0.91), or therapist-defined lymphedema exacerbation requiring treatment (Ptrend = 0.84).ConclusionsOur findings suggest that levels of BCRL self-care adherence do not predict BCRL outcomes among breast cancer survivors with stable lymphedema who were followed for 12 mos.
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Project description:We reviewed serial bioimpedance measurements in order to quantify the relationship between changes in these scores and a patient's risk for developing breast cancer-related lymphedema (BCRL).From April 2010 through November 2016, 505 patients were prospectively evaluated using bioimpedance spectroscopy (BIS/L-Dex). Patients received preoperative and postoperative L-Dex measurements and were categorized based upon risk for BCRL with respect to axillary staging procedure, radiation use, taxane use, and body mass index (BMI). L-Dex change was associated with the type and number of BCRL risk factors. Both axillary lymph node dissection (ALND) and regional nodal irradiation (RNI) were associated with a greater change in L-Dex (p?<?0.001), although elevated BMI was not associated. The median, maximal change in L-Dex for patients treated with ALND, RNI, and taxanes was 16.7 versus 5.2 for ALND alone and 3.7 for sentinel lymph node biopsy (SLNB) alone (p?=?0.016). In a model using all four risk factors to predict the maximal change in L-Dex, ALND and RNI remained significantly associated with maximum change (p?<?0.05). The time required to reach maximal change in L-Dex was shorter in patients treated with ALND or RNI (the time for 25% of patients achieving an L-Dex ?7 was 4.3 months for ALND, RNI, and taxanes patients versus 30.8 months for SLNB-alone patients).Risk factors for development of BCRL were associated with both the magnitude and timing of change in L-Dex scores. These findings demonstrate the utility of serial L-Dex measurements in providing an objective assessment of a patient's lymphedema status and the value of L-Dex serial measurements to assist in monitoring patients for the development of BCRL. This supports the clinical utilization of serial L-Dex scores to follow patients at risk for BCRL.
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Project description:Background: Necrotizing fasciitis (NF) is a life-threatening infection of the skin and soft tissue that spreads quickly and requires immediate surgery and medical treatment. Amputation or radical debridement of necrotic tissue is generally always required. The risks and benefits of both the surgical options are weighed before deciding whether to amputate or debride. This study set forth to create an easy-to-use risk scoring system for predicting the risk scoring system for amputation in patients with NF (ANF). Methods: This retrospective study included 1,506 patients diagnosed with surgically confirmed NF at three general hospitals in Thailand from January 2009 to December 2012. All diagnoses were made by surgeons who strictly observed the guidelines for skin and soft tissue infections produced by the Infectious Diseases Society of America. Patients were randomly allocated to either the derivation (n = 1,193) or validation (n = 313) cohort. Clinical risk factors assessed at the time of recruitment were used to create the risk score, which was then developed using logistic regression. The regression coefficients were converted into item scores, and the total score was calculated. Results: The following four clinical predictors were used to create the model: female gender, diabetes mellitus, wound appearance stage 3 (skin necrosis and gangrene), and creatinine ≥1.6 mg/dL. Using the area under the receiver operating characteristic curve (AuROC), the ANF system showed moderate power (78.68%) to predict amputation in patients with NF with excellent calibration (Hosmer-Lemeshow χ2 = 2.59; p = 0.8586). The positive likelihood ratio of amputation in low-risk (score ≤ 4) and high-risk (score ≥ 7) patients was 2.17 (95%CI: 1.66-2.82) and 6.18 (95%CI: 4.08-9.36), respectively. The ANF system showed good performance (AuROC 76.82%) when applied in the validation cohort. Conclusion: The developed ANF risk scoring system, which includes four easy to obtain predictors, provides physicians with prediction indices for amputation in patients with NF. This model will assist clinicians with surgical decision-making in this time-sensitive clinical setting.
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Project description:Lymphedema can be a debilitating condition, causing a great decrease in a person's quality of life (QoL). Treatment with lymphaticovenular anastomosis (LVA), in which an anastomosis is created between the lymphatic and venous system, may attenuate lymphedema symptoms and reduce swelling. In this study, we share the results using LVA to treat breast cancer-related lymphedema (BCRL) at our institution.Patients were eligible for inclusion if they suffered from unilateral BCRL, if functional lymphatics were available, if compression therapy was used for at least 6 months, and if the follow-up was 12 months at minimum. Lymph vessel functionality was assessed preoperatively using indocyanine green (ICG). During surgery, 1-3 anastomoses were created and shunt patency was confirmed using ICG. Arm volumes were measured before surgery and at 6- and 12-month follow-up. QoL was measured before surgery and at 6-month follow-up. Arm volume differences between the healthy arm and affected arm were compared between the time points.Twenty-nine consecutive female patients with unilateral BCRL were included. The preoperative mean difference in arm volumes was 701 ± 435 ml (36.9%). This was reduced to 496 ± 302 ml (24.7%) at 6-month follow-up (p = 0.00). At 12-month follow-up, the mean difference in arm volume was 467 ± 303 ml (23.5%) (p = 0.02). The overall perceived QoL was increased from 5.8 ± 1.1 to 7.4 ± 0.7 (p = 0.00). The functionality score decreased from 2.2 to 1.8 (p = 0.00), the appearance score decreased from 2.6 to 1.9 (p = 0.00), the symptoms score decreased from 2.8 to 1.8 (p = 0.00), and the mood score decreased from 2.7 to 1.5 (p = 0.00). Fifteen patients (53.6%) were able to discontinue the use of compression garment.Treatment with LVAs is effective in reducing arm volume difference in patients suffering from BCRL. Although no complete reduction of the edema was achieved at 12-month follow-up, the procedure significantly increased the patients' QoL.
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Project description:PurposeTo profile the prescription for and adherence to breast cancer-related lymphedema (BCRL) self-care modalities among breast cancer (BrCa) survivors with BCRL in a 12-month randomized weightlifting trial.MethodsWe developed a questionnaire that assessed prescription for and adherence to 10 BCRL self-care modalities that included physical therapy exercise, pneumatic compression pump, medication, lymphedema bandaging, arm elevation, self-administered lymphatic drainage, therapist-administered lymphatic drainage, compression garments, skin care, and taping. We measured prescription for and adherence to BCRL self-care modalities at baseline, 3, 6, and 12 months. Longitudinal logistic regression was used to estimate the odds ratio (OR) and 95 % confidence interval (95 % CI) associated with prescription for and adherence to BCRL modalities over time.ResultsThis study included 141 BrCa survivors with BCRL. Women were prescribed an average of 3.6 ± 2.1 BCRL self-care modalities during the study. The prescription for therapist-administered lymphatic drainage (OR = 0.92, 95 % CI 0.88-0.96), pneumatic compression pump use (OR = 0.94, 95 % CI 0.89-0.98), and bandaging (OR = 0.96, 95 % CI 0.93-0.99) decreased over 12 months of follow-up. No other prescribed BCRL self-care modalities changed during the study. Over 12 months, the average adherence to all BCRL self-care modalities varied with 13, 24, 32, and 31 % of women reporting <25, 25-49, 50-74, and ≥75 % adherence, respectively. Over 12 months, there was a noticeable change from high to low adherence in self-administered lymphatic drainage, such that there was a 15 % increased likelihood of adherence <25 % compared to ≥75 % (OR = 1.15 (95 % CI 1.05-1.26); p = 0.002). The adherence patterns of all other modalities did not change over follow-up.ConclusionsOur findings suggest the prescription for BCRL self-care modalities is variable. The average adherence to BCRL self-care was non-optimal. Future research is necessary to prepare BrCa survivors with the knowledge, skills, abilities, and resources necessary to care for this lifelong condition.
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