scholarly journals Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoyi Guo ◽  
Wei Zhou ◽  
Yan Yu ◽  
Yinghua Cai ◽  
Yuan Zhang ◽  
...  
Keyword(s):  
Renal Disease ◽  
End Stage Renal Disease ◽  
Rbf Neural Network ◽  
Bioelectrical Impedance ◽  
Dry Weight ◽  
Impedance Analysis ◽  
Artificial Intelligence Technology ◽  
Stage Renal Disease ◽  
Computed Tomography Image ◽  
End Stage

Dry weight (DW) is an important dialysis index for patients with end-stage renal disease. It can guide clinical hemodialysis. Brain natriuretic peptide, chest computed tomography image, ultrasound, and bioelectrical impedance analysis are key indicators (multisource information) for assessing DW. By these approaches, a trial-and-error method (traditional measurement method) is employed to assess DW. The assessment of clinician is time-consuming. In this study, we developed a method based on artificial intelligence technology to estimate patient DW. Based on the conventional radial basis function neural (RBFN) network, we propose a multiple Laplacian-regularized RBFN (MLapRBFN) model to predict DW of patient. Compared with other model and body composition monitor, our method achieves the lowest value (1.3226) of root mean square error. In Bland-Altman analysis of MLapRBFN, the number of out agreement interval is least (17 samples). MLapRBFN integrates multiple Laplace regularization terms, and employs an efficient iterative algorithm to solve the model. The ratio of out agreement interval is 3.57%, which is lower than 5%. Therefore, our method can be tentatively applied for clinical evaluation of DW in hemodialysis patients.

Identification of Impeding Factors for Dry Weight Achievement in End-Stage Renal Disease After Appropriate Kidney Graft Function

2013 ◽  
Vol 38 (2) ◽  
pp. 113-120 ◽  
Author(s):  
Sonia Catalina Rivera-González ◽  
Héctor Pérez-Grovas ◽  
Magdalena Madero ◽  
Franklin Mora-Bravo ◽  
Nadia Saavedra ◽  
...  
Keyword(s):  
Renal Disease ◽  
End Stage Renal Disease ◽  
Graft Function ◽  
Dry Weight ◽  
Kidney Graft ◽  
Stage Renal Disease ◽  
End Stage

Transient Elastography in End-Stage Renal Disease Patients on Hemodialysis: The Effect of Net Fluid Withdrawal

2015 ◽  
Vol 40 (3) ◽  
pp. 256-259 ◽  
Author(s):  
Narongrit Khunpakdee ◽  
Kullapong Jayanama ◽  
Piyaporn Kaewdoung ◽  
Kwannapa Promson ◽  
Sasivimol Rattanasiri ◽  
...  
Keyword(s):  
Renal Disease ◽  
End Stage Renal Disease ◽  
Transient Elastography ◽  
Liver Stiffness ◽  
Bioelectrical Impedance ◽  
Cross Sectional ◽  
Before And After ◽  
Stage Renal Disease ◽  
End Stage ◽  
The Impact

Background/Aims: The impact of volume status on liver stiffness measurement (LSM) as measured by transient elastography (TE) as in end-stage renal disease (ESRD) was unclear. We evaluated LSM before and after hemodialysis (HD) and identified the associated factors if the difference of LSM existed. Methods: A cross-sectional study was conducted in ESRD patients on regular HD. Subjects underwent TE and bioelectrical impedance before and after HD. Results: Thirty-six patients were enrolled. Mean (SD) net fluid withdrawal volume (NFWV) per session was 2.55 (0.9) l. Median (range) pre- and post-HD LSMs were 5.38 (2.8-25.7) and 5.4 (2.8-26) kPa, respectively (p = 0.712). Mean differences of pre- and post-HD LSMs correlated with NFWV (r = 0.49, 95% CI 0.19-0.71, p = 0.002). Conclusion: In ESRD on regular HD, LSM is not affected by HD. TE can be done before or after HD with similar results. However, fluid excess at pre-HD can cause inaccurately high LSM.

scholarly journals Intradialytic exercise increases cardiac power index

2019 ◽  
Vol 9 (1) ◽  
pp. e07-e07
Author(s):  
Brent A. Momb ◽  
Samuel A.E Headley ◽  
Tracey D. Matthews ◽  
Michael J. Germain
Keyword(s):  
Blood Pressure ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Power Index ◽  
Bioelectrical Impedance ◽  
Cardiovascular Complications ◽  
Cardiac Power ◽  
Acute Changes ◽  
Stage Renal Disease ◽  
End Stage

Introduction: Mortality rates are high in end-stage renal disease due to cardiovascular complications. Perfusion of the myocardium declines during and after hemodialysis sessions with the potential for aerobic exercise to mitigate these during hemodialysis. Objectives: The purpose of this study was to investigate acute changes in hemodynamics in subjects with end-stage renal disease (ESRD) during exercise. Patients and Methods: Subjects (n = 10) were monitored for 1.5 hours during hemodialysis treatment during a control (CON) and an exercise (EX) session. Subjects cycled using an ergometer strapped to the reclining dialysis chair at an RPE of 11-13 for 30 minutes during the EX session beginning at 30 min into dialysis and ending at 60 minutes. Data for systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) were collected using an automated blood pressure cuff attached to the hemodialysis machine. Data for cardiac output (Q̇ ), cardiac power index (CPI), stroke volume (SV), systemic vascular resistance (SVR), and heart rate (HR) were collected using the NICaS bioelectrical impedance device. Results: During the EX session, CPI, Q̇ , SV, and HR were significantly greater (P<0.05) than the CON session. Additionally, Q̇ was significantly (P< 0.05) greater at 45 minutes and 60 minutes compared to 15 minutes. HR was significantly (P<0.05) greater at 45 minutes compared to 90 minutes. No significant interactions were found for MAP, CPI, Q̇ , HR, SV, SBP, DBP, or SVR. Conclusion: In conclusion, exercise during dialysis may decrease the likelihood of experiencing ischemic or hypotensive events by enhancing myocardial perfusion through increasing CPI and Q̇ .

Sign in / Sign up

Export Citation Format

Share Document