FLUID MANAGEMENT TOOL (FMT)

For Patient Analysis & Management

The Fluid Management Tool (FMT) software operates in conjunction with the BCM - Body Composition Monitor and manages your patients’ data on your personal computer (PC).

 

It allows long-term monitoring of the fluid status and body composition.

 

 

View your patients’ progress at one glance!

 

 

System requirements of Version 3.1.
Windows 2000 Service Pack 4, Windows XP Home Edition, Windows XP Professional, Windows Vista (32-bit)



The FMT software

 

  • displays results relative to reference ranges of healthy individuals and dialysis patients
  • shows each patient’s progress by depicting the results in plots for easy monitoring
  • allows export of all plots and tables
  • allows the combined analysis of blood pressure and fluid overload
  • offers convenient data management:
    • organize your patients into groups
    • add missing data, comments or ID
    • create new patients and patient groups

 

Data transfer is facilitated via a PatientCard and card reader. All hard- and software components necessary are included in the BCM – Body Composition Monitor package (see ordering information).




Fluid Management Tool – Illustration of results




Body Composition Plot

Body Composition Plot


 

 

The Body Composition Plot displays the development of the three compartments adipose tissue mass (ATM), lean tissue mass (LTM) and overhydration (OH) over time. In addition, the systolic blood pressure (BP sys) can be displayed, which allows the influence of overhydration on blood pressure to be identified. It is also easy to observe changes in LTM, ATM and the subsequent influence on overhydration.

For a more detailled analysis of overhydration, please refer to the Overhydration Plot.

The body composition can be viewed in more detail in the LTI FTI Plot.




Overhydration Plot

Overhydration Plot




The patient´s fluid status can be examined in more detail using the Overhydration Plot. The plot also provides post treatment overhydration which can be used to monitor changes in weight gain. Data can be easily compared against the green region representing the reference range of a healthy population.




Hydration Reference Plot

Hydration Reference Plot

 

 

 

Wabel, P. et al., NDT Advance Access published on May 5, 2008.






 

It is well known that overhydration can lead to hypertension. However, underlying comorbidities can radically influence this relationship in individual patients.

The Hydration Reference Plot combines overhydration and systolic blood pressure in one graph.

It helps to assign patients to different regions regarding blood pressure and overhydration, which partly require different therapy approaches.

 

The areas are differentiated as follows:

N: Normal area (green) of reference population with healthy kidneys.

Dx: Reference area (blue) of a typical dialysis patient before treatment

I: Hypertension may relate to overhydration

II: Hypertension independent of overhydration

III: Hypovolemia (dehydrated) and low blood pressure

IV: Overhydrated, but normo-/hypotension

 

The purple arrow in the diagram indicates a trend showing changes over a longer period of time.






BP Pre Plot

BP Pre Plot




 

 

The BP pre Plot depicts the systolic and diastolic blood pressure before dialysis. The green area identifies the systolic reference area for a healthy population according to WHO standards. The green line at 70 mmHg marks the critical lower limit for the diastolic blood pressure.






Nutrition Reference Plot

Nutrition Reference Plot




 

 

This plot combines information about overhydration together with the patient's nutritional status. The green area indicates the reference area of a normal population with healthy kidneys (10th and 90th percentile).






Cole-Cole Plot

Cole-Cole Plot




 

 

The Cole-Cole Plot depicts the raw data of the measurement (red circles) together with the optimized model function (blue line) in the impedance plane. In addition, data quality is shown in the legend. Data quality can vary between 0 and 100 indicating very high (100) or very poor data (0) measurement quality.