Fresenius Medical Care The BCM – Body Composition Monitor allows the detection of overhydration by determining the quantitative amount of excess fluid in. Fresenius Medical Care SUPPORT. For further information on the BCM – Body Composition Monitor, please see the following downloads: General Information. Download scientific diagram | The Fresenius’ Body Composition Monitor (BCM) is an example of multi-frequency Bio-impedance analysis technology. Picture.

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Journal of renal care. Changing from a whole-body measurement to a hand-to-hand or cross measurement will involve substitution of one limb for another and a change in the pathway through the trunk. Estimation of RI has much greater uncertainty and for segmental measurements, especially, in the trunk, fresemius data were largely uninformative.

The estimate of R E from the curve-fitting routine was used as a marker of relative changes in fluid status during dialysis for comparisons between the five body segments, where the whole-body analysis models are not appropriate.

Body composition monitor (BCM)

For these models, measurement time was included as a predictor variable to investigate the validity of post-dialysis measurements of LTM and ATM. The 8-lead device does not display Cole-plots or body composition data to allow real-time assessment of artefacts or consistency, so repeat measurements were not made. Assessing fluid change in hemodialysis: Validated alternative pathways would allow measurements to be made on patients who would have otherwise have been managed without BCM or managed based on poor quality data.

A larger sample would allow better estimates of these different estimates. There are also a number of situations where it would be helpful to make post-dialysis BCM measurements. The BCM validation literature also suggests that a bias is introduced into measurements of LTM and ATM when measurements are made immediately after dialysis but within 30 minutes this becomes non-significant.

In particular, there was a significant difference in pre-dialysis BCM-measured OH between the side of the body where vascular access was situated as compared to the contralateral side 0. This study aims to characterise BCM measurement variation to allow users to make measurements and interpret the results with confidence in a range of clinical scenarios.


Unlike controls, there was no difference in LTM or ATM between the sides Appendix 3despite the tresenius that vascular access is usually on the non-dominant side. The data from healthy controls suggest that there is no difference in BCM-measured OH between all the whole-body paths other than the foot-to-foot measurement.

Assessment of fat-free mass using bioelectrical impedance measurements of the human body.

Body Composition Monitor

Predicting body cell mass with bioimpedance by using theoretical methods: Use of post-dialysis measurements There was good agreement between change in BCM-measured OH on the reference measurement path [pre-dialysis OH] — [post-dialysis OH] with change in weight fig. These results suggest BCM protocols can be flexible regarding measurement paths and timing of measurement to ensure as many patients as possible can benefit from the technology. Mixed-effects regression model The use of mixed-effects regression allowed a model to be built that could account for the repeated measures on an individual from the 8-lead BCM.

For haemodialysis patients, height was taken from their clinical notes and pre- gresenius post-dialysis weights were obtained as part of normal care.

This would suggest that relatively more fluid is recruited from the legs than the upper body which is largely in agreement with previous work. In summary, these data helps BCM users make measurements and interpret results with greater confidence.

To investigate the validity of post-dialysis measurements, the agreement between change in BCM-measured Freseniux from the reference path and change in weight was assessed using Bland-Altman analysis. Statistical analysis To investigate the validity of post-dialysis measurements, the agreement between change in BCM-measured OH from the reference path and change in weight was assessed using Bland-Altman analysis.

Body composition monitor Files

This provided equivalent data to the standard BCM device, which was validated by processing standard BCM impedance data with the custom analysis programme and comparing the results with those from the standard BCM see appendix 1. The only statistically significant interaction was for the foot-to-foot path, which suggests that there is a greater change in BCM-measured OH across this path compared to the other paths.


This discrepancy seems likely to freseniuus due to artefactual BCM measurements and highlights the need for some expertise when making measurements Lindley et al.

The potential for the equivalence of impedance across different paths was demonstrated two decades ago using bioimpedance analysis BIA measurements Lukaski et al. Yet there is a lack of data to support use of BCM outside this standardised approach and there remains a great deal of uncertainty in utilisation of the technology in certain individuals.

One of the implications of preferential removal of fluid from the legs than arms could be that the legs are the last segment that fluid is recruited from. For each of the 17 paths, the measured data was fitted to the Cole equation as described by De Lorenzo et al.

To examine each model, plots of standardised residuals against fitted values were used to check the assumption of homoscedasticity and a Q-Q plot of the residuals was used to assess normality. Bioimpedance-guided fluid management in hemodialysis patients.

Current opinion in clinical nutrition and metabolic care. Does the presence of an arteriovenous fistula alter changes in body water following hemodialysis as determined by multifrequency bioelectrical impedance assessment? The use of mixed-effects regression allowed a model to be built that could account for the repeated measures on an individual from the 8-lead BCM.

Biomed Phys Eng Express. Preserving central blood volume: Changes in hydration following haemodialysis estimated with bioimpedance spectroscopy. Comorbidities present included acute coronary syndrome, heart failure, cerebrovascular disease, liver disease, peripheral vascular disease and smoking.

BCM-measured OH is greater when measuring across a site of vascular access, but the increase arguably is not clinically significant when the uncertainty in other methods of target weight assessment is considered.

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