Actively Recruiting

Age: 18Years +
All Genders
ID06873880

Integrating Bioelectrical Impedance Analysis and Estimated Glomerular Filtration Rate to Assess Nutritional Status in Hemodialysis Patients

Led by University of Tartu · Updated on 2025-03-13

30

Participants Needed

1

Research Sites

8 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are studying how combining body composition measurements from Bioelectrical Impedance Analysis (BIA) with estimates of kidney function (eGFR) can improve health assessments for people undergoing hemodialysis. Many patients on dialysis face challenges like malnutrition, muscle loss, and fluid imbalances, but current methods rely on basic tests and observations. This study aims to provide a more accurate, non-invasive way to monitor nutrition and overall health in these patients. The study will analyze how BIA parameters such as fat mass, fat-free mass, total body water, and phase angle relate to eGFR in hemodialysis patients. It will explore whether using these measures together offers a better understanding of nutritional status and kidney function. The research will also evaluate the prevalence of malnutrition and protein-energy wasting among patients receiving chronic hemodialysis. Participants will undergo body composition assessments using BIA and have their kidney function monitored through eGFR readings over a three-month period. Researchers will collect clinical data related to dialysis needs and nutritional health. The main outcome measured is the correlation between body composition and kidney function, alongside evaluations of malnutrition and phase angle, to help improve patient monitoring and treatment decisions.

CONDITIONS

Brief Title

Integrating BIA and eGFR for Nutritional Status in Hemodialysis Patients

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Adults aged 18 years or older
  • Diagnosed with chronic kidney disease
  • Receiving hemodialysis treatment for at least 6 months
Not Eligible

You will not qualify if you...

  • Pregnant or breastfeeding
  • Presence of major second pathology
  • Having a pacemaker implanted
  • Recent major surgery

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Monitoring

Duration - 3 months

Participants undergoing hemodialysis are observed to assess nutritional status using bioelectrical impedance analysis and estimated glomerular filtration rate measurements.

Periodic assessments during hemodialysis sessions over 3 months

Trial Site Locations

Total: 1 location

1

Institute of Clinical Medicine

Tartu, Tartu, Estonia, 50406

Actively Recruiting

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Research Team

A

Anum Basit Masters student, BSc

A

Alastair Forbes, MD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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Published Research Related To This Trial

Body Composition Changes Following Dialysis Initiation and Cardiovascular and Mortality Outcomes in CRIC (Chronic Renal Insufficiency Cohort): A Bioimpedance Analysis Substudy.

Ke Wang, Leila R Zelnick, Glenn M Chertow...

https://pubmed.ncbi.nlm.nih.gov/34136778

Performance of Bioelectrical Impedance and Anthropometric Predictive Equations for Estimation of Muscle Mass in Chronic Kidney Disease Patients.

Natália Tomborelli Bellafronte, Lorena Vega-Piris, Guillermina Barril Cuadrado...

https://pubmed.ncbi.nlm.nih.gov/34095195

Clinical Utility of Bioelectrical Impedance Analysis Parameters for Evaluating Patients with Lower Limb Lymphedema after Lymphovenous Anastomosis.

Woo Chul Son, Jin Geun Kwon, Joon Pio Hong...

https://pubmed.ncbi.nlm.nih.gov/35817050

Bioimpedance Analysis in CKD and HF Patients: A Critical Review of Benefits, Limitations, and Future Directions.

Edoardo La Porta, Alessandro Faragli, Alexander Herrmann...

https://pubmed.ncbi.nlm.nih.gov/39518641