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Nutrients 2017, 9(6), 620; doi:10.3390/nu9060620

Impact of Virtual Touch Quantification in Acoustic Radiation Force Impulse for Skeletal Muscle Mass Loss in Chronic Liver Diseases

Division of Hepatobiliary and Pancreatic disease, Department of Internal Medicine, Hyogo College of Medicine, Hyogo 6638501, Japan
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Received: 2 June 2017 / Revised: 13 June 2017 / Accepted: 14 June 2017 / Published: 16 June 2017
(This article belongs to the Special Issue Nutrition and Liver Disease)
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Abstract

Background and aims: We sought to clarify the relationship between virtual touch quantification (VTQ) in acoustic radiation force impulse and skeletal muscle mass as assessed by bio-electronic impedance analysis in patients with chronic liver diseases (CLDs, n = 468, 222 males and 246 females, median age = 62 years). Patients and methods: Decreased skeletal muscle index (D-SMI) was defined as skeletal muscle index (SMI) <7.0 kg/m2 for males and as SMI <5.7 kg/m2 for females, according to the recommendations in current Japanese guidelines. We examined the correlation between SMI and VTQ levels and investigated factors linked to D-SMI in the univariate and multivariate analyses. The area under the receiver operating curve (AUROC) for the presence of D-SMI was also calculated. Results: In patients with D-SMI, the median VTQ level was 1.64 meters/second (m/s) (range, 0.93–4.32 m/s), while in patients without D-SMI, the median VTQ level was 1.11 m/s (range, 0.67–4.09 m/s) (p < 0.0001). In the multivariate analysis, higher VTQ was found to be an independent predictor linked to the presence of D-SMI (p < 0.0001). In receiver operating characteristic analysis, body mass index had the highest AUROC (0.805), followed by age (0.721) and VTQ (0.706). Conclusion: VTQ levels can be useful for predicting D-SMI in patients with CLDs. View Full-Text
Keywords: virtual touch quantification; skeletal muscle mass; bio-electronic impedance analysis; liver fibrosis marker; predictive ability virtual touch quantification; skeletal muscle mass; bio-electronic impedance analysis; liver fibrosis marker; predictive ability
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Nishikawa, H.; Nishimura, T.; Enomoto, H.; Iwata, Y.; Ishii, A.; Miyamoto, Y.; Ishii, N.; Yuri, Y.; Takata, R.; Hasegawa, K.; Nakano, C.; Yoh, K.; Aizawa, N.; Sakai, Y.; Ikeda, N.; Takashima, T.; Nishiguchi, S.; Iijima, H. Impact of Virtual Touch Quantification in Acoustic Radiation Force Impulse for Skeletal Muscle Mass Loss in Chronic Liver Diseases. Nutrients 2017, 9, 620.

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