Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Jun 16;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

Affiliations

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

Hiroki Nishikawa et al. Nutrients. .

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.

Keywords: bio-electronic impedance analysis; liver fibrosis marker; predictive ability; skeletal muscle mass; virtual touch quantification.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
(A) Correlation between virtual touch quantification (VTQ) and skeletal muscle index (SMI) in males. Significant inverse correlation between VTQ and SMI was found (rs = −0.4276, p < 0.0001); (B) Correlation between VTQ and SMI in females. Significant inverse correlation between VTQ and SMI was found (rs = −0.2384, p = 0.0002).
Figure 2
Figure 2
(A) VTQ level according to liver fibrosis stage for the entire cohort (excluding 21 patients with missing data for liver histology, n = 447). The stepwise increase of VTQ level was found according to the severity of liver fibrosis (overall significance, p < 0.0001); (B) VTQ level according to liver fibrosis stage for patients with hepatitis C virus (HCV) (excluding patients with missing data for liver histology, n = 246). The stepwise increase of VTQ level was found according to the severity of liver fibrosis (overall significance, p < 0.0001).
Figure 3
Figure 3
(A) VTQ level in patients with and without decreased skeletal muscle mass (D-SMI). In patients with D-SMI, the median VTQ level was 1.64 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); (B) VTQ level according to liver cirrhosis (LC) status. In patients with LC, the median VTQ level was 2.18 m/s (range, 0.73–4.32 m/s), while in patients without LC, the median VTQ level was 1.11 m/s (range, 0.67–3.67 m/s) (p < 0.0001).

References

    1. Van der Meer A.J., Berenguer M. Reversion of disease manifestations after HCV eradication. J. Hepatol. 2016;65:95–108. doi: 10.1016/j.jhep.2016.07.039. - DOI - PubMed
    1. Karanjia R.N., Crossey M.M., Cox I.J., Fye H.K., Njie R., Goldin R.D., Taylor-Robinson S.D. Hepatic steatosis and fibrosis: Non-invasive assessment. World J. Gastroenterol. 2016;22:9880–9897. doi: 10.3748/wjg.v22.i45.9880. - DOI - PMC - PubMed
    1. Friedrich-Rust M., Poynard T., Castera L. Critical comparison of elastography methods to assess chronic liver disease. Nat. Rev. Gastroenterol. Hepatol. 2016;13:402–411. doi: 10.1038/nrgastro.2016.86. - DOI - PubMed
    1. Westbrook R.H., Dusheiko G. Natural history of hepatitis C. J. Hepatol. 2014;61:58–68. doi: 10.1016/j.jhep.2014.07.012. - DOI - PubMed
    1. Yu M.L. Hepatitis C Treatment from “Response-guided” to “Resource-guided” therapy in the transition era from IFN-containing to IFN-free regimens. J. Gastroenterol. Hepatol. 2017 doi: 10.1111/jgh.13747. - DOI - PubMed

LinkOut - more resources