BODYGRAM® DASHBOARD

The most advanced software for body composition assessment powerful, flexible and complete.

Thanks to 40 years of research and presence in the market, more than 4000 peer reviewed articles and beyond 20.000 users globally, AKERN® solution in considered the reference for experts in body composition. BODYGRAM®, software incorporate AKERN®‘s scientific progress and knowledge of body composition.

Why Akern®

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    Algorithms based on the true hydration state so fat mass and fat free mass estimates are more accurate.

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    Direct qualitative analysis of tissue using BIVA approach and the Biavector® nomogram.

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    Predictive formulas and specific reference values for paediatric, adult and geriatric populations.


Main Functions


Biavector

BIAVECTOR® nomogram

By introducing the Biavector® nomogram in 1994, AKERN® has been the first company to implement the Bioelectrical Impedance Vector Analysis (BIVA) within a body composition software. The Biavector® offers a directs interpretation of the hydration and nutritional status.

Being based only on tissue electrical properties, body mass and volume assessments are not influenced by errors derived from predictive equations. Impedance data interpretation further evolved with the introduction of Hydragram® and Nutrigram® scales.

Hydragram

THE HYDRAGRAM® SCALE: TISSUE HYDRATION BY A NUMBER

Hydragram® provides the true subject hydration by giving fluids percentage within the fat free mass. Percentage values correlate with the impedance vector position on the Biavector® nomogram and follow the displacement along the major axis.

Hydragram® classifies subjects as Normohydrated, Hyperhydrated or Dehydrated according to the Moore et al. 1 classification. Subjects with altered hydration can be further stratified according to the degree of fluid alteration (mild, moderate or severe). The use of the Hydragram® scale for hydration also in clinical setting in association with other specific biomarkers as BNP, ProBNP, nGAL3 2,3,4,.

Nutrigram

THE NUTRIGRAM® SCALE: A CLINICALLY VALIDATED PARAMETER FOR NUTRITIONAL STATUS ASSESSMENT

Nutrigram® provides an estimate of creatine excretion (Ucr/24h) obtained from BCM values. Creatinine is an indirect product of muscle cells totally excreted by the kidney.

The amount of creatinine detected in the 24h is used as a parameter to define the subjects’s cellular mass.

Nutrigram® values correlate with the position of the vector on the Biavector® nomogram and follow the displacement along the minor axis. This parameter was recently validated and is particularly helpful for the management of patients at high risk of malnutrition who require continue nutritional support 5.

INDICES FOR SCREENING AND DIAGNOSIS OF MALNUTRITION AND SARCOPENIA ASSESSMENT

Fat-Free Mass Index (FFMI) and Fat Mass Index (FMI) BODYGRAM® software can monitor the nutritional status over time throught the use of FFMI and FMI percentile curves dor Caucasian subjects from 18 to 98 years old.

Appendicular Skeletal Muscle Index (ASMI): this index represents the ratio between Appendicular Skeletal Muscle Mass (ASMM) calculated using Sergi’s equation (Sergi et al) and height 2(6.7). ASMI has been formally recognized by the latest European guidelines for diagnosis of Sarcopenia (EWGSOP 2).

Muscle Quality Index (MQI): this index in a measure of muscle mass quality and depends on muscle strenght measured dynamometry and the amount of estimated muscle mass.

Standardized Phase Angle (SPA): the phase angle standardized by sex and age. This parameter expresses within the population of normal subjects, the ratio between average Phase Angle values of subjects beloging to a specific age and sex group and its standard deviation.

 

ANTHROPOMETRIC EVALUATION OF BODY CONSTITUTION AND CARDIO-METABOLIC RISK

The anthropometric data that is collected is particularly important to monitor localized fat and to assess the risk of cardio-metabolic diseases. The software provides a simple method for anthropometric data collection and evaluation.

ANALYTICAL EVALUATION OF ENERGY EXPENDITURE

Integrates the calculation of daily energy expenditure with the level of physical activity (PAL) and the energy expenditure induced by physical and sports activities. Based on this data, the user can set a clear weight loss program, based on an accurate estimate of the energy requirement, adjust the calorie intake in the diet, plan the timing of the amount of weight to lose.

Enhanced features

Enhanced features

The latest version of BODYGRAM® offers even more advanced performance to transfer the wealth of knowledge and progress of AKERN® into your hands.

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    Unlimited access to tests, anywhere

    BODYGRAM® is accessible from any type of device and compatible with the most popular OS: MacOS, iOS, Windows, Android on desktop, smartphone or tablet.

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    Online and offline operating modes

    BODYGRAM® allows for two different workspaces: Online on a dedicated server platform and Offline with the Desktop application (for Windows and MacOS).

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    Automatic database import

    Migration to BODYGRAM® platform does not result in data loss. Your database will be imported automatically at your first log in.

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    Complete structure

    The new BODYGRAM® software encloses in a single application all functions included in the add-on modules of the previous platform.

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    Periodical scientific update

    BODYGRAM® is constantly updated to guarantee a professional analysis tool always aligned with progress of clinical research.

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    GDPR Compliance

    BODYGRAM® Patient data management is compliant with the GDPR (EU regulation 2016/679).

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    Customized reports

    Now BODYGRAM® includes a new tool to create customized reports to address different patient management needs. User can choose which specific elements to have in the report to better guide the patient along his path.

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    Back-up and storage

    BODYGRAM® includes an automatic Cloud based data back-up system and a data recovery function.

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    CE Medical Device

    BODYGRAM® is CE marked Class Medical Software.


 

Bibliographical references:
  1. Basso, Flavio, et al. "Fluid management in the intensive care unit: bioelectrical impedance vector analysis as a tool to assess hydration status and optimal fluid balance in critically ill patients." Blood purification 36.3-4 (2013): 192-199.
  2. Maioli, Mauro, et al. "Pre-procedural bioimpedance vectorial analysis of fluid status and prediction of contrast-induced acute kidney injury." Journal of the American College of Cardiology 63.14 (2014): 1387-1394.
  3. Massari, Francesco, et al. "Multiparametric approach to congestion for predicting long-term survival in heart failure." Journal of Cardiology 75.1 (2020): 47-52.
  4. Moore, Francis D., and Caryl Magnus Boyden. “Body cell mass and limits of hydration of the fat free body: Their relation to estimated skeletal weight.” Annals of the New York Academy of Sciences 110.1 (1963): 62-71.
  5. Marini, Elisabetta, et al. "Phase angle and bioelectrical impedance vector analysis in the evaluation of body composition in athletes." Clinical Nutrition 39.2 (2020): 447-454.
  6. Valle, Roberto, et al. “Optimizing fluid management in patients with acute decompensated heart failure (ADHF): the emerging role of combined measurement of body hydration status and brain natriuretic peptide (BNP) levels.” Heart failure reviews 16.6 (2011): 519-529.
  7. Massari, Francesco, et al. “Bioimpedance vector analysis predicts hospital length of stay in acute heart failure.” Nutrition 61 (2019): 56-60.
  8. Maioli, Mauro, et al. “Bioimpedance-guided hydration for the prevention of contrast-induced kidney injury: the HYDRA study.” Journal of the American College of Cardiology 71.25 (2018): 2880-2889.
  9. Cereda, Emanuele, et al. "Validation of a new prognostic body composition parameter in cancer patients." Clinical Nutrition (2020).
  10. Janssen, Ian, et al. “Estimation of skeletal muscle mass by bioelectrical impedance analysis.” Journal of applied physiology 89.2 (2000): 465-471.
  11. Sergi, Giuseppe, et al. “Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults.” Clinical nutrition 34.4 (2015): 667-673.
  12. Cruz-Jentoft, Alfonso J., et al. "Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis." Age Ageing 48.1 (2019): 16-31.
  13. Paiva, Silvana Iturriet, et al. "Standardized phase angle from bioelectrical impedance analysis as prognostic factor for survival in patients with cancer." Supportive Care in Cancer 19.2 (2011): 187-192.
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