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

2020 ◽  
Vol 44 (3) ◽  
pp. 238-245
Author(s):  
Su Hwan Bae ◽  
Won Jun Kim ◽  
Yu Jin Seo ◽  
JaYoung Kim ◽  
Jae Yong Jeon
Keyword(s):  
Treatment Outcomes ◽  
Large Scale ◽  
Gynecological Cancer ◽  
Lower Extremities ◽  
Bioimpedance Analysis ◽  
Complex Decongestive Therapy ◽  
Acute Group ◽  
Study Results ◽  
Pre Treatment ◽  
Decongestive Therapy

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<sub>U/L</sub>). We evaluated the relationship between R0<sub>U/L</sub> and changes in R0<sub>U/L</sub> 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<sub>U/L</sub> was significantly correlated with R0<sub>U/L</sub> 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<sub>U/L</sub> 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.

Effects of Successmaker Computerized Curriculum on the Behavior of Disruptive Students

2000 ◽  
Vol 28 (4) ◽  
pp. 335-347 ◽  
Author(s):  
Victor G. Aeby ◽  
Jack V. Powell ◽  
Tracy Carpenter-Aeby
Keyword(s):  
Treatment Outcomes ◽  
Academic Outcomes ◽  
Self Esteem ◽  
Psychosocial Variable ◽  
Test Analysis ◽  
Disruptive Students ◽  
Alternative Placement ◽  
Study Results ◽  
Significant Difference ◽  
Pre Treatment

This study investigated the effects of the SuccessMaker computerized curriculum upon the psychosocial and academic outcomes of students identified as chronically disruptive. Ninety-four subjects, ages ten to seventeen, assigned to an Alternative Placement Program for a period of 90 to 180 days were included in the study. Results of a t-test analysis revealed a significant difference between pre-treatment and post-treatment outcomes of the Rosenberg Self-Esteem Instrument applied to measure the psychosocial variable, self-esteem. The increase in student self-esteem can be explained by success in two areas comprising the SuccessMaker, “Readers Workshop” and “Reading Network.”

Reuse of Wastewaters in Agriculture by Means of Sprinkler Irrigation on a Farmland Area of 3000 ha – Large Scale Experience in Germany

1986 ◽  
Vol 18 (9) ◽  
pp. 163-173
Author(s):  
R. Boll ◽  
R. Kayser
Keyword(s):  
Large Scale ◽  
Treatment Process ◽  
Treatment Plant ◽  
Sprinkler Irrigation ◽  
Paper Briefly ◽  
Treatment Results ◽  
Sewage Farm ◽  
Western Germany ◽  
Pre Treatment ◽  
Main Components

The Braunschweig wastewater land treatment system as the largest in Western Germany serves a population of about 270.000 and has an annual flow of around 22 Mio m3. The whole treatment process consists of three main components : a pre-treatment plant as an activated sludge process, a sprinkler irrigation area of 3.000 ha of farmland and an old sewage farm of 200 ha with surface flooding. This paper briefly summarizes the experiences with management and operation of the system, the treatment results with reference to environmental impact, development of agriculture and some financial aspects.

Use of lime for the upgrading of existing wastewater treatment systems

1994 ◽  
Vol 29 (12) ◽  
pp. 279-282 ◽  
Author(s):  
C. Güldner ◽  
W. Hegemann ◽  
N. Peschen ◽  
K. Sölter
Keyword(s):  
Large Scale ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Chemical Precipitation ◽  
Fatty Acid Production ◽  
German States ◽  
Lime Solution ◽  
First Results ◽  
Pre Treatment

The integration of the chemical precipitation unit which would inject a lime solution into a series of mechanical-biological processes, including nitrification/denitrification, and the sludge treatment are the subject of this project. The essential target is the large-scale reconstruction of a mechanical-biological sewage treatment plant with insufficient cleaning performance in the new German states and the adjustment of the precipitation stage to the unsteady inflow of sewage. First results indicate that the pre-treatment performance could be improved by ≅ 20% and the discharge of concentrations of COD, BOD, N and P could be reduced and homogenized. In addition, experiments on hydrolysis and acidifiability of the pre-treatment sludge have been carried out on a laboratory level with the object of making sources of carbon readily available for denitrification. In the course of the experiment, inhibition of fatty acid production by calcareous primary sludge could not be detected. The characteristics of the sludge, such as draining and thickening were considerably improved by the adding of lime.

scholarly journals 1574. Multivariate Regression Analysis to Determine Independent Predictors of Treatment Outcomes in the RESTORE-IMI 2 Trial

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S785-S786
Author(s):  
Robert Tipping ◽  
Jiejun Du ◽  
Maria C Losada ◽  
Michelle L Brown ◽  
Katherine Young ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Clinical Response ◽  
Treatment Outcomes ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Apache Ii Score ◽  
Double Blind ◽  
Mitt Population ◽  
Study Results ◽  
All Cause Mortality

Abstract Background In the RESTORE-IMI 2 trial, imipenem/cilastatin/relebactam (IMI/REL) was non-inferior to PIP/TAZ for treating hospital-acquired/ventilator-associated bacterial pneumonia (HABP/VABP) in the primary endpoint of Day 28 all-cause mortality (D28 ACM) and the key secondary endpoint of clinical response (CR) at early follow-up (EFU; 7-14 d after end of therapy). We performed a multivariate regression analysis to determine independent predictors of treatment outcomes in this trial. Methods Randomized, controlled, double-blind, phase 3, non-inferiority trial comparing IMI/REL 500 mg/250 mg vs PIP/TAZ 4 g/500 mg, every 6 h for 7-14 d, in adult patients (pts) with HABP/VABP. Stepwise-selection logistic regression modeling was used to determine independent predictors of D28 ACM and favorable CR at EFU, in the MITT population (randomized pts with ≥1 dose of study drug, except pts with only gram-positive cocci at baseline). Baseline variables (n=19) were pre-selected as candidates for inclusion (Table 1), based on clinical relevance. Variables were added to the model if significant (p &lt; 0.05) and removed if their significance was reduced (p &gt; 0.1) by addition of other variables. Results Baseline variables that met criteria for significant independent predictors of D28 ACM and CR at EFU in the final selected regression model are in Fig 1 and Fig 2, respectively. As expected, APACHE II score, renal impairment, elderly age, and mechanical ventilation were significant predictors for both outcomes. Bacteremia and P. aeruginosa as a causative pathogen were predictors of unfavorable CR, but not of D28 ACM. Geographic region and the hospital service unit a patient was admitted to were found to be significant predictors, likely explained by their collinearity with other variables. Treatment allocation (IMI/REL vs PIP/TAZ) was not a significant predictor for ACM or CR; this was not unexpected, since the trial showed non-inferiority of the two HABP/VABP therapies. No interactions between the significant predictors and treatment arm were observed. Conclusion This analysis validated known predictors for mortality and clinical outcomes in pts with HABP/VABP and supports the main study results by showing no interactions between predictors and treatment arm. Table 1. Candidate baseline variables pre-selected for inclusion Figure 1. Independent predictors of greater Day 28 all-cause mortality (MITT population; N=531) Figure 2. Independent predictors of favorable clinical response at EFU (MITT population; N=531) Disclosures Robert Tipping, MS, Merck & Co., Inc. (Employee, Shareholder) Jiejun Du, PhD, Merck & Co., Inc. (Employee, Shareholder) Maria C. Losada, BA, Merck & Co., Inc. (Employee, Shareholder) Michelle L. Brown, BS, Merck & Co., Inc. (Employee, Shareholder) Katherine Young, MS, Merck & Co., Inc. (Employee, Shareholder)Merck & Co., Inc. (Employee, Shareholder) Joan R. Butterton, MD, Merck & Co., Inc. (Employee, Shareholder) Amanda Paschke, MD MSCE, Merck & Co., Inc. (Employee, Shareholder) Luke F. Chen, MBBS MPH MBA FRACP FSHEA FIDSA, Merck & Co., Inc. (Employee, Shareholder)Merck & Co., Inc. (Employee, Shareholder)

scholarly journals Evaluating Machine Learning and Geostatistical Methods for Spatial Gap-filling of Monthly ESA CCI Soil Moisture in China

2021 ◽  
Vol 13 (14) ◽  
pp. 2848
Author(s):  
Hao Sun ◽  
Qian Xu
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Water Resource Management ◽  
Large Scale ◽  
Gap Filling ◽  
Spatial Continuity ◽  
Study Results ◽  
Data Gaps

Obtaining large-scale, long-term, and spatial continuous soil moisture (SM) data is crucial for climate change, hydrology, and water resource management, etc. ESA CCI SM is such a large-scale and long-term SM (longer than 40 years until now). However, there exist data gaps, especially for the area of China, due to the limitations in remote sensing of SM such as complex topography, human-induced radio frequency interference (RFI), and vegetation disturbances, etc. The data gaps make the CCI SM data cannot achieve spatial continuity, which entails the study of gap-filling methods. In order to develop suitable methods to fill the gaps of CCI SM in the whole area of China, we compared typical Machine Learning (ML) methods, including Random Forest method (RF), Feedforward Neural Network method (FNN), and Generalized Linear Model (GLM) with a geostatistical method, i.e., Ordinary Kriging (OK) in this study. More than 30 years of passive–active combined CCI SM from 1982 to 2018 and other biophysical variables such as Normalized Difference Vegetation Index (NDVI), precipitation, air temperature, Digital Elevation Model (DEM), soil type, and in situ SM from International Soil Moisture Network (ISMN) were utilized in this study. Results indicated that: 1) the data gap of CCI SM is frequent in China, which is found not only in cold seasons and areas but also in warm seasons and areas. The ratio of gap pixel numbers to the whole pixel numbers can be greater than 80%, and its average is around 40%. 2) ML methods can fill the gaps of CCI SM all up. Among the ML methods, RF had the best performance in fitting the relationship between CCI SM and biophysical variables. 3) Over simulated gap areas, RF had a comparable performance with OK, and they outperformed the FNN and GLM methods greatly. 4) Over in situ SM networks, RF achieved better performance than the OK method. 5) We also explored various strategies for gap-filling CCI SM. Results demonstrated that the strategy of constructing a monthly model with one RF for simulating monthly average SM and another RF for simulating monthly SM disturbance achieved the best performance. Such strategy combining with the ML method such as the RF is suggested in this study for filling the gaps of CCI SM in China.

Complex decongestive therapy for secondary lymphoedema in women after breast cancer treatment

Physiotherapy ◽  
2015 ◽  
Vol 23 (1) ◽  
Author(s):  
Iwona Malicka ◽  
Dawid Marciniak
Keyword(s):  
Breast Cancer ◽  
Fungal Infections ◽  
Compression Therapy ◽  
Lymphatic Drainage ◽  
Skin Care ◽  
Lymph Edema ◽  
Two Phase ◽  
Complex Decongestive Therapy ◽  
Consolidation Phase ◽  
Decongestive Therapy

AbstractSecondary lymph edema occurs in abort 6-40% of women treated for breast cancer. This is not the only an aesthetic problem. Edema makes serious health complications for example recurrent inflammation and rose, limb elephantiasis, which leads to degenerative changes in the joints, nerve plexus damage and angiosarcoma – cancer with poor prognosis. Early diagnosis and implementation of therapy is very important. Too late intervention difficult the rehabilitation and increases the possibility of complications also. The most important in the reduction of swelling and remove the lymph balance is a complex decongestive therapy (CDT): lymphatic drainage, compression therapy, skin care and exercises. Lymphatic drainage results in increased production of the lymph and movement of the lymph. Compression therapy leads to the reduction in the effective pressure ultrafiltration. Skin care is to prevent bacterial and fungal infections. Exercises makes increase muscle pump action and transport of the lymph. CDT consist of two phase: reduction phase and consolidation phase. It is a most popular method of treatment lymph edema around the world. It is most effective therapy also.

Analyzing and optimizing the carbon utilization and lipid yield at different light intensities for Scenedesmus arcuatus

2021 ◽  
Vol 25 (11) ◽  
pp. 1-10
Author(s):  
K. Vasumathi ◽  
Raja Vadivu G. Nadana ◽  
E.M. Nithiya ◽  
K. Sundar ◽  
M. Premalatha
Keyword(s):  
Light Intensity ◽  
Large Scale ◽  
Biomass Yield ◽  
Osmotic Shock ◽  
High Light Intensity ◽  
Carbon Utilization ◽  
Lipid Yield ◽  
The Face ◽  
Photosynthetic Microorganism ◽  
Pre Treatment

Microalgae, the photosynthetic microorganism growing abundantly in marine and aquatic ecosystems, are potential source for biological sequestration of CO2. The carbon uptake differs in the presence of other nutrients, light intensity etc. The biomass yield of Scenedesmus arcuatus var capitatus was studied based on the Face Centred Central Composite design (FCCD) of Response Surface Methodology (RSM) for nitrate, phosphate and carbonate under different conditions (laboratory, room and sunlight conditions). Various pre-treatments (osmotic shock, autoclaving, microwave and ultrasonication) were employed to find the best method for maximum lipid yield. The biomass yield reached a maximum of 1 g/L under sunlight conditions of nitrate concentration 500 ppm and carbonate 2000 ppm. The laboratory conditions resulted in a biomass yield of 0.59 g/L at 500 ppm nitrate, 1000 ppm carbonate and 250 ppm phosphate. Under room conditions, the yield was very low (0.11 g/L). Osmotic shock resulted in higher lipid yield than the other pre-treatment methods. The ability of Scenedesmus arcuatus to uptake high carbon under sunlight conditions and to adapt to high light intensity and fluctuations in light intensity concludes that this species is suitable for large-scale open pond cultivation for CO2 sequestration and production of metabolites.

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