The role of bioimpedance status in the diagnosis of presarcopenia in elderly and elderly patients with type 2 diabetes mellitus
Background. Determination of skeletal muscle mass (SMM) for the diagnosis of sarcopenia using bioimpedance analysis of body composition (BIAST) is a well-recognised method. However, as data are accumulating, alternative possibilities for its diagnosis are occurring, particularly the determination of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
ZAO "Consilium Medicum"
2025-01-01
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| Series: | Consilium Medicum |
| Subjects: | |
| Online Access: | https://consilium.orscience.ru/2075-1753/article/viewFile/678784/203568 |
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| Summary: | Background. Determination of skeletal muscle mass (SMM) for the diagnosis of sarcopenia using bioimpedance analysis of body composition (BIAST) is a well-recognised method. However, as data are accumulating, alternative possibilities for its diagnosis are occurring, particularly the determination of phase angle (PA) and other BIAST parameters.
Aim. Тo determine BIAST parameters, which can be used to predict presarcopenia in elderly and senile individuals with type 2 diabetes mellitus (2 DM).
Materials and methods. A one-stage single-centre cross-sectional study of patients over 60 years old hospitalized in the endocrinological department of Buyanov City Clinical Hospital due to decompensation of 2 DM was carried out. During hospitalisation, the Sarcopenia Fast questionnaire was used to detect sarcopenia syndrome, patients with more than 4 points were included in the main stage of the study to detect sarcopenia according to the European Working Group on Sarcopenia in Older People 2 Consensus. Statistical processing was performed using the SPSS Statistics 23 software package.
Results. Patients with presarcopenia had higher mean values of fat mass (FM) (p = 0.037), whereas levels of specific basal metabolic rate (SBM) (p = 0.0001), active cell mass (ACM) (p = 0.002), PA (p = 0.0001), SMM (p = 0.003) and SMM fraction (fSMM) (p = 0.002) were significantly lower in patients with presarcopenia than in patients without presarcopenia. The diagnostic significance of the derived risk factors by binary logistic regression was assessed by ROC analysis. The area under the ROC curve corresponding to the relationship between the combined BIAST parameters: PA, SMM, fSMM, ACM, and probability of outcome p was 0.772 ± 0.04. The threshold probability p-value at the cut-off point was 0.54. P-values equal to or greater than these values were consistent with predicting the presence of presarcopenia. Sensitivity and specificity were 78.2 and 66.7 respectively with 95% confidence interval 0.694–0.85.
Conclusion. The study has identified universal boundaries for both men and women, FU, SMM, dSMM, ACM, which are included in the prognostic model for the diagnosis of presarcopenia in patients with 2 DM. The availability of information on the threshold values of the main bioimpedance indicators of body composition in patients with presarcopenia and 2 DM significantly expands research and diagnostic opportunities in aging medicine. Interpretation of these data is promising for further studies. |
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| ISSN: | 2075-1753 2542-2170 |