Evaluation of Dry Weight in Hemodialysis Patients

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Dina Hussien Abd-Rabo ◽  
fatma Attia Mohamed ◽  
amal Ibrahim ◽  
Manal Abdelhafez
Keyword(s):  
Dry Weight ◽  
Hemodialysis Patients

scholarly journals Calf Bioimpedance Spectroscopy for Determination of Dry Weight in Hemodialysis Patients: Effects on Hypertension and Left Ventricular Hypertrophy

2013 ◽  
Vol 37 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Eric Seibert ◽  
Stephan G. Müller ◽  
Peter Fries ◽  
Johanna Pattmöller ◽  
Oliver Kuss ◽  
...  
Keyword(s):  
Left Ventricular Hypertrophy ◽  
Ventricular Hypertrophy ◽  
Dry Weight ◽  
Hemodialysis Patients ◽  
Left Ventricular ◽  
Bioimpedance Spectroscopy

scholarly journals Usefulness of foot-to-foot bioimpedance analysis for assessing volume status in chronic hemodialysis patients at the Aristide Le Dantec University Hospital (Senegal)

2021 ◽  
Vol 5 (2) ◽  
pp. 056-060
Author(s):  
Keita Niakhaleen ◽  
Faye Maria ◽  
Seck Sidy Mouhamed ◽  
Ndong Boucar ◽  
Faye Moustapha ◽  
...  
Keyword(s):  
Bioelectrical Impedance ◽  
Dry Weight ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
University Hospital ◽  
Single Frequency ◽  
Cross Sectional ◽  
Before And After

Introduction: Determination of dry weight is one of the daily goals to achieve in hemodialysis. The aim of this study was to validate the use of bioelectrical impedance analysis (BIA) in estimation of dry weight in a population of Senegalese chronic hemodialysis patients. Patients and methods: A 9-week cross-sectional study was carried out at the hemodialysis unit of Aristide Le Dantec University Hospital. Adult patients with no previous hospital history were included. The total body water (TBW) was measured with a single frequency bioelectric impedance foot-to-foot analyzer, before and after six successive hemodialysis sessions. These results were compared with those from clinical measurements with the Watson equation using a Student’s t-test and Bland-Altman analysis. Results: 264 measurements were made in 22 patients (46.6 years, 54.5% men, 92.3 months on dialysis, 62.7 kg mean dry weight). A significant reduction in weight (ΔWeight = 2.0 ± 1.1 kg; p < 0.0001) and in TBW measured by the BIA (ΔTBWBIA = 3.3 ± 1.0 liters; p < 0.0001)) or calculated by Watson’s equation (ΔTBWWatson = 0.5 ± 0.2 liter; p = 0.0001) was observed. There was a strong linear correlation and agreement between the 2 TBW measurements in pre-dialysis. In post-dialysis the concordance diagram indicated a bias = –2.2 and wide agreement limits. Conclusion: The BIA allows reproducible and reliable measurements and a fair estimate of the TBW in pre-dialysis.

scholarly journals Assessing Dry Weight of Hemodialysis Patients via Sparse Laplacian Regularized RVFL Neural Network with L2,1-Norm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoyi Guo ◽  
Wei Zhou ◽  
Qun Lu ◽  
Aiyan Du ◽  
Yinghua Cai ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Dry Weight ◽  
Hemodialysis Patients ◽  
Normal Weight ◽  
The Body ◽  
Functional Link ◽  
Patient Will ◽  
Better Than

Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water in diabetes is too much (during hemodialysis), the patient will experience hypotension and shock symptoms. Therefore, the correct assessment of the patient’s dry weight is clinically important. These methods all rely on professional instruments and technicians, which are time-consuming and labor-intensive. To avoid this limitation, we hope to use machine learning methods on patients. This study collected demographic and anthropometric data of 476 hemodialysis patients, including age, gender, blood pressure (BP), body mass index (BMI), years of dialysis (YD), and heart rate (HR). We propose a Sparse Laplacian regularized Random Vector Functional Link (SLapRVFL) neural network model on the basis of predecessors. When we evaluate the prediction performance of the model, we fully compare SLapRVFL with the Body Composition Monitor (BCM) instrument and other models. The Root Mean Square Error (RMSE) of SLapRVFL is 1.3136, which is better than other methods. The SLapRVFL neural network model could be a viable alternative of dry weight assessment.

scholarly journals THE EFFECT OF DRY-WEIGHT REDUCTION GUIDED BY LUNG ULTRASOUND ON AMBULATORY BLOOD PRESSURE IN HEMODIALYSIS PATIENTS

2019 ◽  
Vol 37 ◽  
pp. e199-e200
Author(s):  
C. Loutradis ◽  
R. Ekart ◽  
C. Papadopoulos ◽  
V. Sachpekidis ◽  
M.E. Alexandrou ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Ambulatory Blood Pressure ◽  
Weight Reduction ◽  
Lung Ultrasound ◽  
Dry Weight ◽  
Hemodialysis Patients

Predialysis Systolic Blood Pressure Evolution in Incident Hemodialysis Patients: Effects of the Dry Weight Method and Prognostic Value

2012 ◽  
Vol 33 (4) ◽  
pp. 275-283 ◽  
Author(s):  
Charles Chazot ◽  
Cyril Vo-Van ◽  
Patrik Deleaval ◽  
Christie Lorriaux ◽  
Jean Marc Hurot ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Prognostic Value ◽  
Dry Weight ◽  
Hemodialysis Patients ◽  
Weight Method ◽  
Pressure Evolution

scholarly journals A new technique for establishing dry weight in hemodialysis patients via whole body bioimpedance

2002 ◽  
Vol 61 (6) ◽  
pp. 2250-2258 ◽  
Author(s):  
Paul W. Chamney ◽  
Matthias Krämer ◽  
Christiane Rode ◽  
Wolfgang Kleinekofort ◽  
Volker Wizemann
Keyword(s):  
Dry Weight ◽  
Hemodialysis Patients ◽  
New Technique ◽  
Whole Body ◽  
A New Technique

scholarly journals Nutritional Status and Immune Functions in Maintenance Hemodialysis Patients

2006 ◽  
Vol 2006 ◽  
pp. 1-4 ◽  
Author(s):  
Hayriye Sayarlioglu ◽  
Reha Erkoc ◽  
Cengiz Demir ◽  
Ekrem Dogan ◽  
Mehmet Sayarlioglu ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Clinical Importance ◽  
Dry Weight ◽  
Epidemiological Studies ◽  
Immune Dysregulation ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Immune Functions ◽  
Means Of Measurement ◽  
The Relationship

Epidemiological studies suggest various kinds of immune dysregulation in hemodialysis (HD) patients. The aim of this study was to investigate the relationship between immune functions and nutritional status of HD patients. We studied 54 patients with ESRD on chronic HD, included 34 females and 20 males with mean age46.6±16.3(18–77) years. We measured the height and dry weight of all patients. The BMI was calculated by dividing weight (kg) by height squared (m2). In all patients serum urea, creatinine, albumin, iron, cholesterol, triglyceride, CRP, IgG, IgM, IgA, CD4, CD8, CD19, CD16-56 lymphocytes were measured. Kt/V values were calculated according to DOQI guideline. In this study, a positive correlation between albumin, cholesterol, and triglyceride levels as nutritional parameters and immune functions in terms of total and subtype lymphocyte counts was observed. Further prospective studies are needed to determine the clinical importance of this finding and the appropriate means of measurement and effects of nutrition on immune function in hemodialysis patients.

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