Prospective Study Open Access
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Pharmacol Ther. Aug 8, 2020; 11(3): 59-68
Published online Aug 8, 2020. doi: 10.4292/wjgpt.v11.i3.59
Tongue thickness in health vs cirrhosis of the liver: Prospective observational study
Manish Tandon, Harshita Singh, Chandra Kant Pandey, Formerly at Department of Anesthesia, Institute of Liver and Biliary Sciences, New Delhi 110070, India
Nishant Singla, Formerly at Department of Intervention Radiology, Institute of Liver and Biliary Sciences, New Delhi 110070, India
Priyanka Jain, Formerly at Department of Research, Institute of Liver and Biliary Sciences, New Delhi 110070, India
ORCID number: Manish Tandon (0000-0003-0087-6216); Harshita Singh (0000-0001-7620-0365); Nishant Singla (0000-0003-3424-4006); Priyanka Jain (orcid.org/0000-0002-3374-882X); Chandra Kant Pandey (0000-0003-4472-0547).
Author contributions: Tandon M conceived and wrote the manuscript and performed the literature search and review; Sigh H collected and compiled data and reviewed the literature; Singla N collected L3 skeletal muscle index data, trained others on ultrasonography measurements, and supervised ultrasonography measurements; Jain P performed statistical analysis of the data; Pandey CK reviewed the manuscript, and provided intellectual input.
Institutional review board statement: The study was reviewed and approved by the Review Board of the Institution of Liver and Biliary Sciences, New Delhi, India.
Clinical trial registration statement: The study titled “Study of thickness of tongue by ultrasound and its relation with severity of disease in patients with cirrhosis of liver: Prospective Study”, is registered with clinical trials registry of India vide No. CTRI/2017/10/010103.
Informed consent statement: All study participants or their legal guardian provided informed written consent regarding personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: No conflict of interest to declare.
Data sharing statement: There are no additional data available.
CONSORT 2010 statement: The authors have read the CONSORT 2010 Statement, and the manuscript was prepared and revised according to the CONSORT 2010 Statement.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Manish Tandon, MD, Doctor, Ex Additional Professor Anaesthesia, Department of Anaesthesiology, Institute of Liver and Biliary Sciences, D-1, Vasant Kunj, New Delhi 110070, India. manishtandon25@rediffmail.com
Received: December 29, 2019
Peer-review started: December 29, 2019
First decision: March 27, 2020
Revised: May 17, 2020
Accepted: May 21, 2020
Article in press: May 21, 2020
Published online: August 8, 2020
Processing time: 219 Days and 20.8 Hours

Abstract
BACKGROUND

Malnutrition affects 40%-90% of patients with cirrhosis of the liver. L3 skeletal muscle index (L3SMI) is presently accepted as the most objective and quantitative measure available for sarcopenia, a surrogate marker of malnutrition. L3SMI application is, however, limited by non-availability of computed tomography scanning in remote areas, cost, need for extensive training, and the risk of exposure to radiation. Therefore, an alternative dependable measure with wider availability is needed. Malnutrition causes sarcopenia not only in skeletal muscles but also in other muscular structures such as the psoas muscle, diaphragm and tongue. We therefore hypothesised that the tongue, being easily accessible for inspection and for measurement of thickness using ultrasonography, may be used to document sarcopenia.

AIM

To measure and compare tongue thickness in healthy individuals and in patients with cirrhosis of the liver and to study its correlation with conventional prognostic scores for patients with cirrhosis of the liver.

METHODS

Tongue thickness was measured using ultrasonography. One hundred twenty subjects of either gender aged 18 to 65 years were studied, with 30 subjects in each group. The tongue thickness was compared between groups based on “Child Turcotte Pugh” (CTP) scores. The correlations between measured tongue thickness and “Model for end stage liver disease” (MELD) score and between age and measured tongue thickness were also assessed.

RESULTS

Mean tongue thickness (mean ± SD) in patients with CTP class A, B and C was 4.39 ± 0.39 cm, 4.19 ± 0.53 cm, and 3.87 ± 0.42, respectively, and was 4.33 ± 0.49 cm in normal healthy individuals. Significant differences were seen in tongue thickness between patients with CTP class C and those with CTP class A and B (P < 0.05). Patients with CTP class C also had a significantly reduced tongue thickness than normal individuals (P < 0.05). However, no significant difference was seen in tongue thickness between patients with CTP class A and B and normal individuals. A statistically significant, negative correlation was found between MELD score and tongue thickness (r = -0.331) (P < 0.001). No correlation was observed between L3SMI and MELD score (r = 0.074, P = 0.424). L3SMI (mean ± SD) in healthy subjects was 39.66 ± 6.8 and was 38.26 ± 8.88 in patients with CTP class C, and the difference was not significant. No significant correlation was found between age of the patients and tongue thickness. Intra-class correlation coefficient was used to determine the reliability of the tongue thickness measurements. The intra-class correlation coefficient was 0.984 (95%CI: 0.979-0.989) and was indicative of good reliability.

CONCLUSION

Tongue thickness measured by ultrasonography, correlates significantly with the severity of liver disease, as assessed by CTP and MELD scores. The patients with a CTP score ≥ 10 have significantly reduced tongue thickness as compared to normal individuals and those with less severe liver disease and CTP scores of 5-9. No significant difference in tongue thickness was found between healthy individuals and CTP class A and B patients.

Key Words: Sarcopenia, Malnutrition, Cirrhosis of the liver, Child Turcotte Pugh class, Model for end stage liver disease score, Ultrasonography

Core tip: Sarcopenia has implications for the management and outcome of patients with cirrhosis of the liver and is therefore included in prognostication. However, the only objective and reproducible measure for sarcopenia using computed tomography (CT) scanning which measures skeletal muscle thickness, is the L3 skeletal muscle index (L3SMI). However, the application of L3SMI is restricted by the need for CT scanning. Compared with CT scan measured L3SMI, tongue thickness can easily be measured in a reproducible manner and accurately with minimal training using ultrasonography and as suggested by this study, is a more sensitive indicator of sarcopenia. Further studies are required to validate these findings and propose tongue thickness as a tool to diagnose sarcopenia.



INTRODUCTION

Malnutrition has been estimated to affect 50%-90% of patients with cirrhosis of the liver[1]. However, malnutrition is frequently overlooked, in part because nutritional assessment can be difficult in patients with cirrhosis due to fluid retention and because patients with cirrhosis may develop simultaneous loss of skeletal muscle and gain of adipose tissue, culminating in the condition of “sarcopenic obesity”[1]. Sarcopenia is characterised by the loss of muscle mass and is a surrogate marker of malnutrition[2]. Severity of liver disease is assessed using “Model for end stage liver disease” (MELD) score, which is calculated by an online calculator using values for serum creatinine, bilirubin and the international normalised value for prothrombin time. The MELD score is also used to decide upon organ allocation for liver transplant[3], and currently does not include a measure of sarcopenia. Researchers have suggested changes in the MELD score calculation to include a measure of sarcopenia, considering its prognostic implications[4]. Similarly, the “Child Turcotte Pugh” (CTP) score, a conventional scoring system for severity of liver disease based on values of serum bilirubin, albumin, international normalised value for prothrombin time, and measures of encephalopathy and ascites, do not include any measure of sarcopenia[5]. L3 skeletal muscle index (L3SMI) is presently accepted as the most objective and quantitative measure of sarcopenia[6]. However, non-availability of computed tomography (CT) scanning in remote areas, cost, and exposure to radiation are limitations to the use of L3SMI; besides, the use of CT for documenting and quantifying sarcopenia can be justified only in patients who have an indication for CT as part of their standard medical care due to risks of radiation exposure. An optimal index for sarcopenia in terms of availability, reproducibility, practicality, and of prognostic significance is therefore needed and remains a challenging issue.

Malnutrition causes sarcopenia in several muscular structures besides the much-studied lumbar muscles, such as the diaphragm, psoas muscle and tongue[7-9]. In the quest for ultrasonography (USG)-based, bedside targets for documenting sarcopenia, we hypothesised that the tongue being a muscular structure affected by sarcopenia with easy access for inspection and measurement, may also be used to quantify and document sarcopenia. Therefore, a prospective study was conducted with the primary objective to measure and compare tongue thickness in healthy individuals and in patients with cirrhosis of the liver. The secondary objective was to determine the correlation between tongue thickness and conventional prognostic scores for patients with cirrhosis of the liver.

MATERIALS AND METHODS

The study was performed at a tertiary care institution after approval by the institutional ethics committee. Consent for the study protocol was obtained from the study subjects. To study 30% difference with power of 80 and type II error of 5%, we needed to study 30 subjects in each group. A total of 120 subjects, who satisfied the inclusion criteria were enrolled and studied from May 2017 to October 2018.

Patients with cirrhosis of the liver due to any aetiology and healthy individuals aged 18-65 years and a body mass index (BMI) > 18 and < 30, visiting the hospital for reasons other than illness, were included in the study. Individuals aged less than 18 years and more than 65 years, patients with acute liver failure and those with glossitis were not included in the study. Tongue thickness was measured using USG with a 3.75 MHz convex probe while the subjects were seated in an upright position. The subjects were instructed to swallow their saliva several times to set the tongue at the resting position, and then the ultrasonic measurements were carried out. The measurement points were determined on the upper and lower surfaces of the lingual muscles in the centre of the plane, perpendicular to the ‘Frankfurt horizontal plane’ in a frontal section (Figure 1). The Frankfurt horizontal plane is formed by drawing a straight horizontal line from the top of the ear canal to the bottom border of the eye along either side of the human skull. This line is called the Frankfurt horizontal line[10]. The vertical distance was measured from the surface of the mylohyoid muscle to the tongue dorsum (Figure 2). Measurements were performed thrice in freeze-frame when the tongue was restored to the resting position after swallowing saliva, and the mean values were obtained. Tongue thickness was measured for all the study subjects, but the L3SMI was calculated from CT scans only for patients with CTP class C who were being investigated for liver transplant and for healthy individuals who were evaluated as possible organ donors. MELD scores were calculated using the online calculator at https://www.mdcalc.com/meld-score-model-end-stage-liver-disease-12-older. Tongue thickness was compared between the groups based on CTP scores. Correlations were also determined between measured tongue thickness and MELD score, and between age and measured tongue thickness.

Figure 1
Figure 1 Ultrasonography probe position for measuring tongue thickness.
Figure 2
Figure 2 Vertical distance measured from the surface of the mylohyoid muscle to the tongue dorsum. USG: Ultrasonography.
Statistical analysis

Data are presented as mean ± SD or frequencies (percentage) and were analysed using SPSS 23.0 software. One-way ANOVA was used to test the significance of parametric data and the Kruskal-Wallis test for non-parametric data. Comparison of categorical data was carried out using the chi square test/Fisher’s exact test. Continuous data were compared by the student t-test/Mann-Whitney test, as applicable. A P value less than 0.05 was considered significant. Intra-class correlation coefficient (ICC) was used to determine the reliability and agreement of the tongue thickness measurements.

RESULTS

Of 120 patients, 96 were males and 24 were females with a mean age of 47.12 years. The various aetiologies of cirrhosis were ethanol-related, non-alcoholic steato-hepatitis, cryptogenic, hepatitis B virus, hepatitis C virus, autoimmune, hepatic vein outflow tract obstruction, non-alcoholic fatty liver disease, and primary sclerosing cholangitis (Figure 3).

Figure 3
Figure 3 Aetiologies of liver cirrhosis.
Tongue thickness and CTP score

Mean tongue thickness in patients with CTP class A was 4.39 ± 0.39 cm (range 4.25-4.53), in patients with CTP class B was 4.19 ± 0.53 cm (range 3.99-4.39), in patients with CTP class C was 3.87 ± 0.42 cm (range 3.71- 4.02) and in normal healthy individuals was 4.33 ± 0.49 cm (range 4.15-4.51) (Table 1; Figure 4).

Table 1 Tongue thickness in the study groups.
Study groupmean ± SDMedian (range)
Child class A4.39 ± 0.39 cm4.50 cm (range 4.25-4.53)
Child class B4.19 ± 0.53 cm4.15 cm (range 3.99-4.39)
Child class C3.87 ± 0.42 cm3.80 cm (range 3.71-4.02)
Normal (healthy) subjects4.33 ± 0.49 cm4.35 cm (range 4.15-4.51)
Figure 4
Figure 4 Box plot of the distribution of tongue thickness in different “Child Turcotte Pugh” class patients and normal healthy subjects. CTP class: Child Turcotte Pugh class.

A significant difference was seen in tongue thickness between patients with CTP class C and those with CTP class A and B (P < 0.05). Patients with CTP class C also had significantly reduced tongue thickness than normal individuals (P < 0.05). However, no significant difference was observed in tongue thickness between patients with CTP class A and B and normal individuals (Table 2).

Table 2 Comparison of tongue thickness in the study groups.
(I) CTP class(J) CTP classMean difference (I-J)Std. errorSignificance95%CI
Lower boundUpper bound
Class AClass B0.20000.11860.335−0.1090.509
Class C0.5233a0.11860.0000.2140.832
Normal0.05670.11860.964−0.2520.366
Class BClass A−0.20000.11860.335−0.5090.109
Class C0.3233a0.11860.0370.0140.632
Normal−0.14330.11860.623−0.4520.166
Class CClass A−0.5233a0.11860.000−0.832-0.214
Class B−0.3233a0.11860.037−0.632-0.014
Normal−0.4667a0.11860.001−0.776-0.158
NormalClass A−0.05670.11860.964−0.3660.252
Class B0.14330.11860.623−0.1660.452
Class C0.4667a0.11860.0010.1580.776
MELD score

mean (± SD) MELD score in patients with CTP class A, B and C was 9.63 ± 2.24, 13.90 ± 2.96 and 25.37 ± 7.92, respectively.

Tongue thickness and MELD score

A statistically significant, negative correlation was found between MELD score and tongue thickness (r: −0.331) (P < 0.001) (Table 3).

Table 3 Correlation between “Model for end stage liver disease” score and tongue thickness.
Tongue thicknessMELD score
Tongue thicknessPearson correlation1−0.330a
Significance (2-tailed)0.001
n12090
MELD scorePearson correlation-0.330a1
Significance (2-tailed)0.001
n9090
Age and tongue thickness

No significant correlation was found between age of the patients and tongue thickness by USG (Table 4).

Table 4 Correlation between age and tongue thickness.
Tongue thicknessAge
Tongue thicknessPearson correlation1−0.081
Significance (2-tailed)0.382
n120120
AgePearson correlation−0.0811
Significance (2-tailed)0.382
n120120
Tongue thickness and L3SMI

No significant correlation was found between tongue thickness and L3SMI (P = 0.83) (Table 5). In healthy subjects, the mean (± SD) L3SMI value was 39.66 ± 6.8, and was 38.26 ± 8.88 in patients of CTP class C. The difference was not significant (P = 0.63) (Table 6). Barring the outliers, in 2 healthy subjects and in 2 CTP class C patients, the median L3SMI was 40.19 (33.89-45.4) and 39.39 (32.68-45.35), respectively (Figure 5). ICC was used to determine the reliability of tongue thickness measurements. The ICC value was 0.984 (95%CI: 0.979-0.989) and was indicative of good reliability (Table 7).

Table 5 Correlation between tongue thickness and L3 skeletal muscle index.
Tongue thicknessL3SMI
Tongue thicknessPearson correlation1-0.074
Significance (2-tailed)0.424
n120120
L3SMIPearson Correlation-0.0741
Significance (2-tailed)0.424
n120120
Figure 5
Figure 5 Box plot of the distribution of L3 skeletal muscle index in Child Turcotte Pugh class C patients and healthy individuals. L3SMI: L3 skeletal muscle index; CTP class: Child Turcotte Pugh class.
Table 6 Comparison of L3 skeletal muscle index in Child Turcotte Pugh class C and normal healthy subjects.
CTP classL3SMI
P value
MeanStandard deviationMedianMinimumMaximum
Class C38.26138.8842839.390018.3752.850.63
Normal39.66406.8056540.190031.2450.25
Table 7 Intraclass correlation coefficient for ultrasonography measurements of tongue thickness.
Intraclass correlation95%CI
F test with true value 0
Lower boundUpper boundValuedf1df2Sig
Single measures0.954a0.9390.96663.4871192380.000
Average measures0.984a0.9790.98963.4871192380.000
DISCUSSION

Our study indicates that tongue thickness measurement by USG correlates significantly with the severity of liver disease, as assessed by CTP scores. The study established that patients with a CTP score ≥ 10 have significantly reduced tongue thickness as compared to normal individuals and those with less severe liver disease with CTP scores of 5-9. Studies have shown that sarcopenia also affects other muscles besides the much studied L3SMI[7-9]. Tongue thickness has even been examined as a bedside measure of sarcopenia in patients with critical illness and has also been correlated with clinical outcome[9].

Malnutrition in cirrhosis is secondary to a multifactorial process and is seen more often in patients with more severe liver disease. We studied the correlation between tongue thickness and MELD score and found a significant negative correlation between the two (r: -0.331, P < 0.01), indicating that as the MELD score increased, tongue thickness decreased and may be interpreted as worsening of sarcopenia with worsening of liver disease. We also found a significant difference in tongue thickness between CTP class C patients and healthy individuals and between CTP class C patients compared to CTP class A and B patients. However, we did not find any significant difference in tongue thickness between healthy individuals and CTP class A and B patients. Apparently, an appreciable degree of sarcopenia manifests only later in the course of liver cirrhosis when a patient qualifies for CTP class C categorisation. Similar to our findings, Montano-Loza et al[11] studied 248 patients and found that sarcopenia was more prevalent in patients with CTP class C (P < 0.05) and in patients with higher MELD scores (P < 0.02). In other studies, Thandassery et al[6] and Tandon et al[12] also found a correlation between the prevalence of sarcopenia and disease severity, as measured by L3SMI and CTP.

However, in the present study, we did not find a correlation between tongue thickness and L3SMI. We also did not find any significant difference in L3SMI between healthy subjects and CTP class C patients. Measuring the mass of a muscle or group of muscles that predominantly have dynamic or postural functions, we believe, is flawed and the paravertebral muscles being postural muscles, are apparently only affected to an appreciable degree late in the disease course when patients may be critically ill and become bedridden. None of the patients included in this study were critically ill and/or admitted to the intensive care unit or were bedridden, and this could possibly be the reason why no difference was found between L3SMI in healthy subjects and CTP class C patients. This reasoning may also be inferred from the study of 116 patients with cirrhosis and hepatocellular carcinoma by Meza-Junco et al[13]. In their study, similar to our findings, the degree of sarcopenia measured using L3SMI did not correlate with CTP or MELD scores. However, in our study, tongue thickness was consistently and significantly decreased in CTP class C patients. Tongue thickness is probably a more sensitive marker of sarcopenia compared to L3SMI and requires further investigation.

A significant number of people more than 65 years old have decreased muscle mass[14]. In this study, we did not include patients more than 65 years, but we did not find a significant correlation between tongue thickness and age of the subjects included (Table 4). Sarcopenia in cirrhotic patients has been associated with increased mortality, sepsis, hyperammonemia, overt hepatic encephalopathy, and increased length of stay after liver transplantation[6]. The literature also suggests that patients with cirrhosis, poor nutritional status and sarcopenia have a higher risk of mortality, independent of the CTP and MELD scores[15]. It is therefore important to diagnose, quantify and perhaps classify the degree of sarcopenia for the medical management of patients with cirrhosis of the liver, for outcome prognosis and for planning interventions such as liver transplantation. This could be greatly helped by having a readily available and reproducible method for the diagnosis and quantification of sarcopenia.

The tongue has the advantages of direct inspection and ease of bedside measurement of thickness using USG, which is more readily available than CT scanning and is without the risk of radiation exposure, and unlike CT does not require extensive training. Tongue thickness measurement, as suggested by our findings, in addition to being objective, reproducible and easy, could be a more sensitive index for detecting sarcopenia than L3SMI. Our study was limited due to it being located at a single centre, and directed at patients with only a single disease, namely cirrhosis of the liver. Further studies exploring USG-measured tongue thickness in people of diverse ethnicity and different age groups in health and in disease, should be carried out to validate our findings and to establish this as a convenient bedside tool for diagnosing sarcopenia. In view of our study findings, we propose that tongue thickness measurement using USG should be considered for the diagnosis and quantification of sarcopenia.

ARTICLE HIGHLIGHTS
Research background

Sarcopenia in patients with chronic liver disease has prognostic implications. L3 skeletal muscle index (L3SMI) calculated from computed tomography (CT) images is currently the only objective and reproducible method accepted for the quantification of sarcopenia. This study aims to determine tongue thickness measured using ultrasonography as an alternative method for diagnosing sarcopenia.

Research motivation

Sarcopenia in patients with chronic liver disease has prognostic implications. Wider application of L3SMI calculated from CT images is limited by cost, the need for extensive training, limited availability and due to the risk of radiation exposure. Clinical researchers have suggested the inclusion of a measure of sarcopenia in established prognostic models for patients with liver disease. A dependable and reproducible method with wider availability is therefore needed.

Research objectives

This study aimed to examine tongue thickness measured using ultrasonography as a dependable bedside tool for the diagnosis of sarcopenia. Significant differences were seen in tongue thickness between healthy individuals and individuals with less severe liver disease compared to patients with more severe chronic liver disease.

Research methods

Patients with chronic liver disease and healthy individuals who satisfied the inclusion criteria underwent tongue thickness measurement using ultrasonography. The study was observational in nature and no intervention was planned on the basis of observations made. Tongue thickness measurements were compared between healthy individuals and patients with liver disease of different severity. The imaging technique used was ultrasonography, which has wider availability and does not involve radiation exposure unlike CT scanning used to measure L3SMI.

Research results

Significant differences were seen in tongue thickness between healthy subjects and patients with less severe liver disease compared to patients with more severe liver disease. Tongue thickness measured using ultrasonography is therefore proposed as a bedside measure of sarcopenia. However, its application requires further validation in studies involving subjects of different ethnicity, in health and in disease.

Research conclusions

This study established consistent and significantly reduced tongue thickness in patients with severe liver disease compared to healthy individuals and patients with less severe liver disease. Tongue thickness measured using ultrasonography may therefore be used as a bedside tool for the diagnosis of sarcopenia, an application with wide availability and no risk of radiation exposure compared to CT-based measurement of L3SMI.

Research perspectives

The findings in this study require validation in a similar study of tongue thickness using ultrasonography in people of different ethnicity in health and in disease.

Footnotes

Manuscript source: Invited manuscript

Specialty type: Gastroenterology and hepatology

Country/Territory of origin: India

Peer-review report’s scientific quality classification

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Grade D (Fair): D

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P-Reviewer: Imazeki F, Sabouri AS S-Editor: Wang J L-Editor: Webster JR E-Editor: Wu YXJ

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