Body Fat Mass Association With Clinical Metabolic Profiles, Markers of Inflammation and Adipocytokines

February 17, 2017 updated by: Tungs' Taichung Metroharbour Hospital

Body Fat Mass as Predictors of Survival in Hemodialysis Patients and Its Association With Clinical Metabolic Profiles, Markers of Inflammation and Adipocytokines in Chronic Hemodialysis Patients: a Prospective Study.

Overweight and obesity have become an increasing problem in patients on hemodialysis. However, in virtually all observational studies in chronic kidney disease(CKD) and dialysis patients , using body mass index(BMI) as metric fat mass is associated inversely with death rate. Nevertheless, it is questionable that obesity can be considered an unequivocal protective factor in chronic diseases as increase body fat mass appears to be a potential cause of the chronic inflammation frequently present in these patients. The consequences of this inflammation are impaired nutritional status, accelerated atherosclerosis, and increased mortality. In the present study, by using dual-energy X-ray absorptiometry (DEXA) and bioimpedance spectroscopy (BIS) to evaluated the contributions of fat mass to outcomes in an observational cohort of hemodialysis patients. Besides, we aim to assess the relationship between body fat composition, clinical metabolic risk profiles, measures of adiposity, such as waist circumference (WC), visceral adiposity index, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), markers of inflammation and adipocytokines in these maintenance hemodialysis patients.

Study Overview

Status

Completed

Detailed Description

Patient Selection

Clinically stable stage 5 chronic kidney disease patients (400 patients) attending the Tungs Taichung Metroharbour will be enrolled in this study. These patients will be given written information and are invited to participate in the study. Written informed consent will be obtained from each patient enrolled. Our hospital dialysis center undergoes multi-frequency bioelectrical impedance analysis( BIA) scanning on a bimonthly basis as part of their ongoing clinical care. Multi-frequency BIA is performed on patients attending the center as part of their routine dry weight assessment. Among these patients, eighty ambulatory adults attending for thrice-weekly outpatient hemodialysis treatments concomitantly had similar dual-energy X-ray absorptiometry (DEXA) scan and postdialysis multi-frequency BIA assessments for review. Patients with implantable defibrillators, those with cardiac pacemakers, and amputees are excluded from the study. This study will be conducted prospectively for 3 years.

Methods Body Composition Assessment Measurements with dual-energy X-ray absorptiometry (DEXA)

DEXA was performed with patients in the supine position. The radiation exposure is estimated to be one tenth of that for standard chest radiography. DEXA is scheduled postdialysis. Whole-body composition, including total and segmental lean, total body fat mass, and bone mineral content, will be calculated using the compatible software. For patients with multiple multifrequency BIA estimations, the study performed will be arranged temporally to the DEXA scan for more relevant comparison.

Measurement of Bioimpedance In all patients BIS will be carried out bimonthly using the Body Composition Monitor (Fresenius Medical Care Deutschland Gesellschaft mit beschrankter Haftung (GmbH), Germany), which takes measurements at 50 frequencies in a range of 5 to 1000 kilohertz(KHz). The measurement was performed approximately 30 minutes after the midweek hemodialysis session, with four conventional electrodes being placed in the patient, who was lying in the supine position: two in the hand and two in the foot contralateral to the vascular access. Regarding the quality of measurements, all exceeded 95%. The manufacturer of the Body Composition Monitor (Fresenius Medical Care) indicated that 30 minutes after the hemodialysis session, the balance between intra-and extracellular fluid was restored and no significant differences in relation to pre-dialysis values were observed. Parameters obtain directly through BIS that are used in this study are free fat mass, lean body mass, intracellular water (ICW) and extracellular water( ECW). Protein-energy wasting (PEW), represented by the intracellular water/dry body weight (ICW/BW) ratio, and overhydration, represented by the extracellular water/dry body weight(ECW/BW) ratio will be analysed.

Anthropometric parameters The following data will collected bimonthly : height (m)), dry weight (kg) measured with a calibrated scale and body mass index(BMI,kg/m2). Abdominal obesity is defined as a waist circumference of >80 cm in women and >90 cm in men.

Biochemical assays and other measurements Fasting blood samples (4 ml each time) were taken just before starting a dialysis session.The vacutainers were kept cold and placed immediately on ice, then they were centrifuged at 4 degree centigrade and the serum was stored at -80 degree centigrade until the analysis. The measurements of serum creatinine, cholesterol, total proteins, albumin, prealbumin and carbon dioxide(CO2) were analysed using standard methods. Urea reduction ratio and single-pool dialysis efficiency calculator(Kt/V) were used to represent the administered dialysis treatment dose. To decrease intraindividual variation, 3-month averaged values for laboratory measures and urea reduction ratio during the study calendar quarter were calculated and used in this study. High sensitivity C- reactive proteins(CRP) was obtained by the immuno-turbidimetric method. Serum 25(OH)D3 was measured by enzymeimmunoassay and the levels of intact parathyroid hormone( i-PTH) were assessed using immunoradiometric assay. Plasma insulin levels were measured using a radioimmunoassay method. Interleukin-6(IL-6) and tumor necrosis factor-alpha (TNF-α) concentrations were measured in duplicate by enzyme-linked immunosorbent assay(ELISA). Insulin resistance was assessed using the following validated formula: homeostasis model assessment of insulin resistance (HOMA-IR)=(fasting glucose [mmol/1] × fasting insulin [μU/ml])/22.5. Because of confounding introduced by exogenous insulin administration to HOMA-IR results, HOMA-IR was only measured in patients who were not treated with insulin . All the above measurements will be done at baseline, and the end of each years (4 times for the whole study)

Study Type

Observational

Enrollment (Actual)

65

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

hemodialysis (HD) patients

Description

Inclusion Criteria:

  • Both sexes aged > 20 years-old. Received stable hemodialysis at least 3 months. Written informed consent.

Exclusion Criteria:

  • Patients with malignant disease, acute infectious disease, acute inflammatory disease (such as collagen disease), and advanced liver disease are excluded.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Occurence of CVD events
Time Frame: 3 years

A DEXA scan is used to measure total and segmental lean(kg), total body fat mass(kg), and bone mineral content(kg).

A BIS is used to measurefree fat mass(Kg), lean body mass(Kg),ICW(L) and ECW(L).

3 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlates of metabolic syndrome
Time Frame: 3 years
The measurements of cholesterol(mg/dl),albumin(mg/dl) ,plasma insulin levels(mU/L) were measured using a radioimmunoassay method. Insulin resistance was assessed using the following validated formula: homeostasis model assessment of insulin resistance (HOMA-IR)=(fasting glucose [mmol/1] × fasting insulin [μU/ml])/22.5
3 years
Presence of inflammation
Time Frame: 3 years
Various biomarkers such as CRP, IL-6, TNF-a
3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2014

Primary Completion (Actual)

December 1, 2016

Study Completion (Actual)

December 1, 2016

Study Registration Dates

First Submitted

May 26, 2016

First Submitted That Met QC Criteria

June 9, 2016

First Posted (Estimate)

June 15, 2016

Study Record Updates

Last Update Posted (Actual)

February 20, 2017

Last Update Submitted That Met QC Criteria

February 17, 2017

Last Verified

February 1, 2017

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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