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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Body Composition Monitor

Open in a separate window. There is growing evidence that the use of bioimpedance measurements with the body composition freseinus BCM; Fresenius Medical Care, Freseniud can help guide fluid management and improve outcomes Moissl et al.

In summary, these data helps BCM users make measurements and interpret results with greater confidence. However, cbm has been shown to perturb fluid distributions Shulman et al. For the models of LTM and ATM, including measurement time as an interaction term did not make a difference to the model, suggesting that the effect of measurement time on LTM and ATM was not different between the paths.

However, there is a freseniud of a sufficiently robust evidence-base for use of the BCM outside of standard protocols. 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.

Considering the model results for LTM and ATM in controls, it is important to note that the equivalence of OH across different paths does not translate to these compartments.

Body composition monitor (BCM)

Methods Subjects Ethical approval was granted by a local ethics committee and all participants provided informed consent. The haemodialysis population is highly comorbid and is disproportionately prone to amputations and tissue viability problems.

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Table 2 Model for OH in healthy controls. This supports the validation literature of the BCM which has shown that the change in BCM-measured OH over dialysis is frssenius to the ultrafiltration volume Wabel et al. Bioelectrical impedance analysis–part I: Changes in hydration following haemodialysis estimated with bioimpedance spectroscopy.

This gave the possibility of making BCM measurements across a number of paths and also allowed the isolation of individual segments for measurement see figure 1.

Body Composition Monitor

Effect of change in fluid distribution in segments in hemodialysis patients at different ultrafiltration rates on accuracy of whole body bioimpedance measurement. When considering post-dialysis measurements, it is accepted that haemodialysis induced changes in fluid distributions affect whole-body bioimpedance Zhu et al.

Current opinion in clinical nutrition and metabolic care. Unlike controls, there was no difference in LTM or ATM between the sides Appendix 3despite the fact that vascular access is usually on the non-dominant side.

Sum of segmental bm analysis during ultrafiltration and hemodialysis reduces sensitivity to changes in body position.

The evidence supporting this recommendation comes from studies using different bioimpedance with different analysis techniques to the BIS used in the BCM. Fresenius Medical Care; Use of post-dialysis measurements Considering the use of post-dialysis BCM measurements, change in body weight was compared to change in BCM-measured OH as there is no accepted gold standard measure of OH to validate post-dialysis measurements.

International Symposium on Home Hemodialysis. 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. A whole-body model to distinguish excess fluid from the frrsenius of major body tissues. 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.

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Body composition monitor (BCM)

This is consistent with previous bcn using BIA on controls that demonstrated decreased resistance in the dominant arm compared to the non-dominant arm Bedogni et al. 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.

Discussion Rationale for the need for flexible measurement protocols At a population level, it is becoming well accepted that using BCM as an aide in guiding fluid management in haemodialysis improves dresenius Onofriescu et al. Using the 8-lead BCM, the impedances of each limb individually can be isolated figure 1which can support the results of the regression models. 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.

Measurements should also be made from hand-to-foot — as this is the only validated measurement path — and bm avoid peripheral access sites, due to the presence of anatomical changes. Measurements on healthy controls suggest there is no significant difference in OH from any whole-body path other than across the legs. To investigate the validity of post-dialysis measurements, the agreement between change in BCM-measured OH from the reference path and change in weight ffesenius assessed using Bland-Altman analysis.

Extracellular fluid redistribution during hemodialysis: