ABC²–Screener: A model to predict sarcopenia among patients on hemodialysis

日本語版はこちらをクリックして下さい：[Japanese version]

Outline

Population: Adult patients on maintenance hemodialysis

Outcome: Sarcopenia
Sarcopenia was defined by the following items proposed by Asian Working Group for Sarcopenia in 2019:

• Low muscle strength: Grip strength <28.0 kg in men and <18.0 kg in women
• Low skeletal muscle mass: Height-adjusted appendicular skeletal muscle mass <7.0 kg/m² in men ; <5.7 kg/m² in women
  (measured by multi-frequency bioimpedance analysis)

For more detailed information, please scroll to the bottom.

Data entry for risk calculation

Age (in years):

BMI (unit: kg/m²):

Click BMI formula to enter height and weight instead：
BMI = (weight in kg) / (height in cm)²

Weight in kg*：
*Use the body weight recorded post the first hemodialysis session in a week.

Height in cm：

Serum Creatinine* (unit: mg/dL):

*Use the serum creatinine level obtained at the start of the first hemodialysis session in a week.

Clinical Frailty Scale version 2.0 (choose from 1 to 9):

1: Very fit2: Fit3: Managing well4: Living with very mild frailty5: Living with mild frailty6: Living with moderate frailty7: Living with severe frailty8: Living with very severe frailty9: Terminally ill
To learn more about the classification, please refer to the following literature: https://doi.org/10.5770/cgj.23.463

Sex (choose man or woman):

Man = 2
Woman = 1

Probability of sarcopenia

Calculate risk

Information about the model

The model was developed in 373 individuals on maintenance hemodialysis therapy at two dialysis centers in 2022-2023 (median age 71 years, 65% male).
The model was internally validated using bootstrapping.
External validation was performed in another two dialysis centers in 2022-2023 (129 patients).
Discrimination: The model correctly sorted patients who were classified as sarcopenia from those who were not classified as sarcopenia 97% of the time (as measured by the integral area under the receiver operating characteristic curve).

Calibration: The model was well calibrated across all risk ranges.

Citation:
Matsunami M, Aita T, Kamitani T, Munakata Y, Kawaji A, Kuji H, Suzuki T, Kurita N
Development and external validation of a practical diagnostic support tool, ′ABC2-Screener′, to predict sarcopenia among patients on maintenance haemodialysis: A multicentre cross-sectional study
medRxiv. 2024: 2024.01.17.24301264. DOI: 10.1101/2024.01.17.24301264

Disclaimer

ABC²-Screener was created with the support of the Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University / Department of Innovative Research and Education for Clinicians and Trainees, Fukushima Medical University Hospital.
However, its content is strictly the work of its authors and has no affiliation with any organization or institution.
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If you reproduce the material on the website, please cite appropriately.
If you have feedback or questions regarding the site, please email Noriaki Kurita, MD (kuritan@fmu.ac.jp).