Equivalence of information from single versus multiple frequency bioimpedance vector analysis in hemodialysis

Piccoli, Antônio; Pastori, Giordano; Guizzo, Marta; Rebeschini, Mirca; Naso, Agostino; Cascone, C

doi:10.1111/j.1523-1755.2005.00083.x

Cited by 70 publications

(54 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(19). Actually, several approaches to DW prediction and to optimization of fluid removal during HD using BIA have been shown to be successful (2,(11)(12)(13); furthermore, very recently, an equivalence of information in fluid monitoring during HD, using measurements at 50 Khz, conventional series circuit, versus bioimpedance spectroscopy with Cole and Hanai model was demonstrated (20). Therefore, the answer to the question of whether technology (BIA) can solve the clinical problem of DW is definitely yes, as outlined by Schneditz in a very recent editorial comment (21): ".…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of Bioimpedance Analysis Prediction Equations for Dry Weight in Hemodialysis Patients

Basile¹,

Vernaglione²,

Iorio³

et al. 2007

Clinical Journal of the American Society of Nephrology

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Development and Validation of Bioimpedance Analysis Prediction Equations for Dry Weight in Hemodialysis Patients

Basile¹,

Vernaglione²,

Iorio³

et al. 2007

Clinical Journal of the American Society of Nephrology

View full text Add to dashboard Cite

show abstract

“…Previous studies have shown that altered tissue composition leads to changes in the impedance locus, e.g. displacement, contraction, enlargement or rotation, which are reflected by the parameters of the Cole model [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Monitoring thoracic fluid content using bioelectrical impedance spectroscopy and Cole modeling

Dovancescu

Saporito

Herold

et al. 2017

Journal of Electrical Bioimpedance

View full text Add to dashboard Cite

Heart failure is a chronic disease marked by frequent hospitalizations due to pulmonary fluid congestion. Monitoring the thoracic fluid status may favor the detection of fluid congestion in an early stage and enable targeted preventive measures. Bioelectrical impedance spectroscopy (BIS) has been used in combination with the Cole model for monitoring body composition including fluid status. The model parameters reflect intracellular and extracellular fluid volume as well as cell sizes, types and interactions. Transthoracic BIS may be a suitable approach to monitoring variations in thoracic fluid content.The aim of this study was to identify BIS measures, which can be derived based on the Cole model, that are sensitive to early stages of thoracic fluid accumulation. We simulated this medical condition in healthy subjects by shifting a part of the whole blood from the periphery towards the thorax. The redistribution of blood was achieved non-invasively through leg compression using inflatable leg sleeves. We acquired BIS data before, during and after compression of the legs and examined the effect of thoracic fluid variations on parameters derived based on the Cole model and on geometrical properties of the impedance arc. Indicator dilution measurements obtained through cardiac magnetic resonance imaging were used as a reference for the changes in pulmonary fluid volume.Eight healthy subjects were included in the study. The Cole model parameters of the study group at baseline were: R 0 = 51.4 ± 6.7 Ω, R ∞ = 25.0 ± 7.0 Ω, f c = 49.0 ± 10.5 kHz, α = 0.687 ± 0.027, the resistances of individual fluid compartments were R E = 51.4 ± 6.7 Ω, R I = 50.5 ± 22.9 Ω, the fluid distribution ratio was K = 1.1 ± 0.3, and the radius, area and depression of the arc's center were: R = 15.7 ± 1.3 Ω, X C = −8.5 ± 1.5 Ω, A = 134.0 ± 15.6 Ω 2 . The effect of leg compression was a relatively small, reversible increase in pulmonary blood volume of 90 ± 57 mL. We observed significant changes in parameters associated with intracellular, extracellular and total fluid volume (R 0 : -1.5 ± 0.9 %, p < 0.01; R ∞ : −2.1 ± 1

show abstract

“…Besides, we reported the use of single frequency BIA in determining the nutritional and hydration status of the patient as well as survival prediction [7,[25][26][27]. We suggest further exploration in regard to resistive and capacitive indices [25,26] and extension of research into haemodialysis [28], HIV [29] and other diseases and healthy control populations.…”

Section: Discussionmentioning

confidence: 99%

“…We suggest further exploration in regard to resistive and capacitive indices [25,26] and extension of research into haemodialysis [28], HIV [29] and other diseases and healthy control populations. Certainly further study is needed to reaffirm the clinical role of BCI and CH 2 .…”

Section: Discussionmentioning

confidence: 99%

Ratio of Capacitance/BMI Reflects Deficit in Nutritional Concentration While CH2 Reflects Total Nutritional Deficit in CAPD Patients and General Population

Koh¹,

Wong²

2013

OJNeph

View full text Add to dashboard Cite

Traditionally phase angle was the best predictor in BIA for nutrition and survival in dialysis population. We recently showed that normalized bioimpedance indices are a better risk discriminator for dialysis patients and the general population. We hereby aimed to explore discriminating factors behind them. Methods: We assessed the body capacitive index (BCI = Capacitance × Height ) which represents total body capacitive volume in physics. We initially performed BIA for 206 female, 116 male healthy volunteers, followed by, prospective study for 128 CAPD patients (47 diabetes mellitus (DM), 81 non-DM; 59 male, 69 female) for >2 years. Results: Moderately good negative correlation of albumin and BCI (r = −0.533, p < 0.001) with linear regression (BCI = 8.780 − 0.184 × [albumin], R 2 = 0.339, p < 0.001) was shown in CAPD patients. BCI and CH 2 were much higher in CAPD patients in comparison to healthy volunteers (3.4 ± 0.1 vs 2.0 ± 0.0 nFm 2 /kg, p < 0.001 and 203 ± 8 vs 125 ± 1 nFm 2 , p < 0.001, respectively). In age and gender adjusted logistic regression model of 128 CAPD patients versus 322 healthy volunteers, the best risk discriminator was BCI (X 2 = 165.6), followed by CH 2 (X 2 = 140), phase angle (X 2 = 59.3) and BRI (X 2 = 52.2). Thirty five (27.3%) patients died during the study period (Fatal cause: infection (54%), cardiovascular (26%)). In Cox regression, CH 2 ( 2 4 X = 32.4) was the best predictor for all-cause mortality, followed by BCI ( 2 4 X = 27.7) and phase angle ( 2 4 X = 19.3). Conclusion: The phase angle was a compound parameter of the body capacity index (BCI) and body resistive index (BRI). BCI has a moderately good negative correlation with albumin and this supports its role in reflecting the severity of malnutrition in CAPD patients. CH 2 represents total nutrition deficit and thus the major risk indicator for the survival of CAPD patients.

show abstract

Equivalence of information from single versus multiple frequency bioimpedance vector analysis in hemodialysis

Abstract: From high Xc values at low frequency, tissue anisotropy is inferred. Intra- and extracellular current flow causes equivalence of information based on functions of R and Xc measurements made at 50 kHz versus other frequencies.

Cited by 70 publications

References 39 publications

Development and Validation of Bioimpedance Analysis Prediction Equations for Dry Weight in Hemodialysis Patients

Development and Validation of Bioimpedance Analysis Prediction Equations for Dry Weight in Hemodialysis Patients

Monitoring thoracic fluid content using bioelectrical impedance spectroscopy and Cole modeling

Ratio of Capacitance/BMI Reflects Deficit in Nutritional Concentration While CH2 Reflects Total Nutritional Deficit in CAPD Patients and General Population

Contact Info

Product

Resources

About