Research Article - (2021) Volume 15, Issue 3
Anoop KV*, Krishnadas Devadas and Jijo Varghese
DM Gastroenterology, Government Medical College Thiruvananthapuram, India
Received Date: March 01, 2021; Accepted Date: March 15, 2021; Published Date: March 19, 2021
Citation: Anoop KV, Devadas K, Varghese J (2021) Factors Influencing Transient Elastography in Detecting Liver Stiffness. Health Sci J. 15 No. 3: 817.
Transient elastography (TEE) is a method used for estimating liver fibrosis by measuring the liver stiffness (LSM). Aim of this study was to investigate whether TEE fibrosis scores and liver biopsy fibrosis scores are comparable. It was a Cross sectional study of patients undergoing liver biopsy because of high TEE with persistent transaminitis/normal TEE with persistent transaminitis/high TEE with normal transaminases. TEE fibrosis score of study population was compared to liver biopsy fibrosis scores, which is considered as gold standard, and patients with discordance of more than one fibrosis stage was analyzed with above mentioned variables which can affect TEE. Characteristics of the discordant population was analysed. After applying spearmanˊs correlation it was found that albumin, Total bilirubin and INR had a strong correlation with TEE values. Multiple regression analysis showed albumin and SGOT were independent predictors of Liver stiffness measurement. The discordant population was again analysed after classifying it into two groups i.e F 0-2 (minimal fibrosis) and F 3 (significant fibrosis based on biopsy). After analysis it was found that in F 0-2 group there were certain variables like SGPT, Albumin and INR which had strong correlation with TEE values. Total bilirubin and platelets had moderate correlation with TEE values. After analysing F3 group, age had strong positive correlation with TEE values. TEE was found to be better in detecting liver stiffness than liver biopsy in clinically suspected cirrhosis in this study.
Keywords
Fibro scan; Liver stiffness; Fibrosis
Introduction
Liver inflammation is commonly associated with fibrosis [1- 3]. The clinical manifestations of liver fibrosis and cirrhosis are different. Minimal liver fibrosis can be completely asymptomatic, but severe fibrosis can present t as hepatic failure. Likewise, earlycirrhosis may not have any specific symptoms and signs; but advancedcirrhosis has multiple presentations of hepatic decompensation, in the form ofhepatic encephalopathy, variceal hemorrhage, spontaneous bacterial peritonitis, and hepatocellular carcinoma [4,5].
Based on data from G D'Amico et al, we have substages within compensated cirrhosis (stage 1 and 2) and decompensated cirrhosis (stages 3 and 4). Stage 1 iscompensated cirrhosiswithout varices, whereas Stage 2 is compensated cirrhosis with varices, but without variceal haemorrhage). Both the substages have a low one-year mortality of 1% and 3% respectively. Stage 3 consists of cirrhosis patients with ascites (with or without varices) but without variceal haemorrhage and stage 4 comprises of cirrhosis patients presenting with variceal haemorrhage (with or without ascites) [6]. They have a higher one-year mortality of 20% and 57% respectively. This classification implies on the fact that, timely diagnosis of cirrhosis is very important as it has significant impact on prognosis and treatment of the patient.
A multicenter study was conducted for evaluating the etiology of chronic liver diseases in India. Eleven hospitals were involved in the study. Alcoholism was the commonest cause of cirrhosis in india. Hepatitis B was the commonest cause of chronic liver disease in general. The predominant causes of chronic liver disease in india were different in different areas. Hepatitis C was common in North india while hepatitis B was the commonest causein East and South india. Alcohol was common in North-east and Non-alcoholic Fatty Liver Disease was the commonest etiology of CLD in Western part of the country.
Since liver fibrosis has significant impact in prognostication of chronic liver disease, assessing liver fibrosis by fibro scan is imperative in creating a treatment plan for the patient. Even though liver biopsy is considered as the available gold standard in assessing liver fibrosis, certain issues like complications associated with liver biopsy (bleeding, pneumothorax, and procedure-related death) [7,8], inter- and intra-observer variability [9], sampling errors has limited its use. Therefore the need for a non invasive method to assess liver fibrosis has been increased. Transient elastography (TEE) is a safe and prompt method to evaluate liver fibrosis by measuring the liver stiffness [10]. Fibro scan has previously been used to evaluate the degree of liver fibrosis in patients with different etiologies like hepatitis B [11], hepatitis C [12,13] alcoholic liver disease [14,15] and autoimmune liver diseases [16]. Fibro scan has also been used for assessing decrease in liver stiffness after a successful antiviral therapy in hepatitis C [17,18]. There are certain factors which can affect the Liver Stiffness Measurement (LSM). There have been multiple studies in the past to identify the factors which can affect the Liver Stiffness Measurement (LSM). So interpreting a TEE value should be based on these clinical and biochemical parameters also in order to correctly identify liver Stiffness.
Although liver biopsy is considered as the gold standard for detecting liver fibrosis, its not widely used in clinical practice since it is an invasive modality. Marcellin et al [19-21] found out that fibroscan is an effective method for detecting fibrosisin Hepatitis Bpatients. In a study by Rongshan et al [22] the factors influencing Fibro scan detection were studied. The results revealed that platelet levels, albumin, INR and body mass index were independent predictors of liver stiffness. This shows that, there are certain parameters which can affect the accuracy of transient elastography in detecting liver stiffness.
A meta?analysis by Tsochatzis et al [23] showed that transient elastography results should be used with caution since there is no validation of the stiffness cut-offs for the various stages of liver fibrosis and cirrhosis. In a study by Sagir et al. [24], it was found that that the Liver stiffness increased in patients with acute liver injury, suggesting that Fibroscan results are not suitable for detecting cirrhosis/fibrosis in these patients. Myer et al conducted a study for assessing the discordance in fibrosis staging by transient elastography and liver biopsy. They found out that mild fibrosis, and higher body mass index (BMI), SGPT and LSM variability [assessed by the ratio of the interquartile range to median LSM (IQR/M)] were independently associated with discordance [25]. Gaia s et al study concluded that fibro scan can be considered as an alternative to liver biopsy in detecting fibrosis in Chronic hepatitis C patients, but host or disease-related factors may modify accuracy of TEE results in Chronic hepatitis B and Non alcoholic fatty liver disease (NAFLD) patients [26]. Bae RC et al. study revealed that age, GGT, and albumin are the clinical factors which influence LSM values [27]. Even though Liver biopsy is considered as the available gold standard in assessing liver fibrosis, certain issues like complications associated with liver biopsy (bleeding, pneumothorax, and procedure-related death), inter- and intra-observer variability, sampling errors has limited its use. TEE has the advantages of being painless, rapid, and easy to perform at the bedside or in the outpatient clinic [28-53].
There are a lot of other factors which can influence TEE scores which include hepatitis, cholestasis, cardiac failure, nonfasting status, Operator effect etc. Acute hepatitis may lead to an increase in liver stiffness without significant fibrosis on liver biopsy [54]. Study conducted by G. Millonig et al and A. Trifan et al [55,56] showed that liver stiffness decreased after successful cholestasis drainage and thereby demonstrated that stiffness is related to bilirubin levels also. Inter-observer agreement was significantly reduced in patients with lower degrees of liver fibrosis (intra-class correlation coefficients (ICC) for F0–1 and F2 were 0.60 and 0.99, respectively)[57].
Materials and Methods
Clinical data of subjects
This was a cross sectional study conducted in Government medical college, Trivandrum from the time period of 1/04/2017 to 31/03/2018.Among the 92 patients studied,51 patients were males and 41 were females. Among the study population, we had 45 (49 %)patients with Non Alcoholic Steatohepatitis, 24 (26 %) patients with Chronic Hepatitis B, 12(13 %) patients with Chronic Hepatitis C and 11 (12 %) patients with Autoimmune Hepatitis as the etiology of liver disease. The average age of the population was 42.1. The present study was conducted in accordance with the Declaration of Helsinki, and with approval from the Ethics Committee of Government medical college, Trivandrum. Written informed consent was obtained from all participants (Table 1).
Characteristics of the study population | Mean values |
---|---|
Age | 42.1 |
BMI | 23.5 kg/m2 |
TEE score | 16.3 kpa |
Hemoglobin | 12.9 g/dl |
Platelets | 1.85 lakhs |
Total bilirubin | 1.65 mg/dl |
Direct bilirubin | 0.95 mg/dl |
SGOT | 78 IU/L |
SGPT | 110 IU/L |
Alkaline phosphatase | 117 IU/L |
Total protein | 7.05 g/dl |
Albumin | 3.5 g/dl |
INR | 1.145 |
Table 1 Table showing Characteristics of the study population.
Patients with Chronic liver disease of any etiology except Hepatitis B who underwent liver biopsy because of (1)persistent transaminitis (>6 months) and high Transient elastography fibrosis score, (2) normal transaminases and high Transient elastography fibrosis score, (3) persistent transaminitis and normal Transient elastography fibrosis score, (4) For diagnosis (Autoimmune hepatitis, NASH), (5) Hepatitis B patients included in the study were those who underwent liver biopsy because of normal ALT and TEE score between 6-9KPa and high ALT but <5 times upper limit normal with TEE score between 6-12KPa [28]. Patients not willing to give consent for liver biopsy and patients with severe coagulopathy were excluded from the study.
Clinical information and biochemical examination
Patients with chronic liver disease who underwent liver biopsy was selected for the study and the following study variables was collected like Gender, Age, BMI, Skin fold thickness over right lower lateral rib cage, Waist circumference, CBC, RFT, LFT/INR, Etiology of chronic liver disease, Fibroscan- Transient elastography fibrosis score (within 3 months of liver biopsy) [29], Liver biopsy fibrosis score (Metavir score).
How fibro scan measurement was done?
Liver stiffness measurement was done with M probe after atleast 4 hrs of fasting. Transient elastography was performed on the right lobe of the liver with patient in dorsal decubitus position and measurement done in intercostal spaces. The operator locates the probe in a liver portion at least 6 cm thick and free of large vascular structures and gallbladders. 10 valid measurements were taken and the median value of the ten valid measurements (VM) was considered representative of liver stiffness. The success rate was calculated as the number of valid measurements divided by the total number of measurements. Success rate more than 60% was considered reliable. The results were expressed in kilopascals (kPa) [30].
Interquartile range (IQR) was defined as an index of intrinsic variability of LSM corresponding to the interval of LSM results containing 50% of the valid measurements between the 25th and 75th percentiles. Only LSMs with at least 10 VMs were considered reliable. Any LSM that did not meet these criteria of reliability were excluded [31]. In the present study, a single experienced operator, who was blinded to patients' clinical data and Liver biopsy results, performed all Liver stiffness measurements. An operator with minimal operator training (≥10 observed scans on patients) was used in the study [37].
Statistical analysis
All the data were analysed by SPSS version 23.0 software (SPSS, inc, chicago, IL, USA).The correlation between Liver stiffness measurement and variables was analys by spearman´s correlation. Multiple regression analysis also was used to analyse the predictors affecting transient elastography detection and to obtain the multiple regression equation. Differences with P <0.05 was considered as statistically significant.
Results
Baseline demographics and characteristics: Among the 92 patients studied, 51 patients were males and 41 were females. Among the study population, Ihad 45 (49 %)patients with Non Alcoholic Steatohepatitis, 24 (26 %) patients with Chronic Hepatitis B, 12 (13%) patients with Chronic Hepatitis C and 11 (12%) patients with Autoimmune Hepatitis as the etiology of liver disease. The average age of the population was 42.1.
The population had average Transient Elastography scoreof 16.3 kpa, BMI 23.5 kg/m2, Hemoglobin 12.9 g/dl, platelet count 1.85 lakhs, Total bilirubin 1.65 mg/dl, Direct bilirubin 0.95 mg/ dl, SGOT 78 IU/L, SGPT 110 IU/L, Alkaline Phosphatase 117 IU/L, Total Protein 7.05 g/dl, Albumin 3.5 g/dl and INR 1.145. Among the study population 44 patients had a discordance of one or more fibrosis stage with Transient elastography from the liver biopsy score, which was taken as the gold standard for deciding the liver fibrosis/cirrhosis. Among them there were 24 NASH, 9 CHB, 5 CHC and 6 AIH patients.
Analysis
Among the study population, 44 (47.8%) patients had discordant TEE scores and biopsy scores. The characteristics of the population with discordant values were analysed. After applying Spearmans correlation, certain variables had positive or negative correlation with Transient Elastography scores. Among the variables analysed albumin had a Spearman’s correlation coefficient of -0.778 (strong negative correlation) (p value - 0.000), Total bilirubin which had a Spearman's correlation coefficient of 0.602 (strong positive correlation) (p value- 0.002), INR which had a Spearman’s correlation coefficient of 0.754 (strong positive correlation) (p value-0.03).
Platelets had a Spearman’s correlation coefficient of -0.436 (moderate negative correlation), SGOT had a value of 0.565 (moderate positive correlation), Total protein had a value of -0.479 (moderate negative correlation), waist circumference had a value of 0.453 (moderate positive correlation). Age had a Spearman's correlation coefficient of 0.317(weak positive correlation), SGPT had a value of0.393 (weak positive correlation), BMI had a value of 0.398 (weak positive correlation).Multiple regression analysis was then performed on the indexes of age, BMI, Hemoglobin, Platelets, SGOT, SGPT, GGT, Alkaline phosphatase, Total protein, Albumin, Total bilirubin, waist circumference and INR. Table 2 demonstrates that the effects of Albumin and SGOT on Liver stiffness measurement (LSM) were statistically significant (all P value < 0.05).Thus it was found that albumin and SGOT were independent predictors of Liver stiffness measurement (LSM).
Characteristics of the study population | P value |
---|---|
BMI | 0.92 |
Platelets | 0.335 |
Total bilirubin | 0.162 |
SGOT | 0.009 |
SGPT | 0.080 |
Albumin | 0.002 |
INR | 0.446 |
Waist circumference | 0.829 |
Table 2 Multiple regression analysis results of liver stiffness measurement influencing factors.
The discordant population was again analysed after classifying it into two groups i.e F 0-2 (minimal fibrosis) and F 3 (significant fibrosis based on biopsy) (There was no patient in F4 group). After analysis it was found that in F 0-2 group there was certain variables like SGPT (0.608 -positive correlation), Albumin (-0.659 – negative correlation), INR (0.66 – positive correlation) which had strong correlation with TEE values. Total bilirubin (0.455) and platelets (- 0.518) had moderate correlation with TEE values. Age (0.248), SGOT (0.355), Total protein (-0.392) and BMI (0.225) had weak correlation with TEE values.
After analysing F3 group, age (0.775) had strong positive correlation, total protein (-0.434) had moderate negative correlation, platelets (-0.25 –weak negative correlation) and INR (0.355- weak positive correlation) with TEE values. Transient elastography was better than liver biopsy in detecting liver stiffness in clinically suspected cirrhosis in this study.
Discussion
Fibro scan is a non-invasive method for assessing liver stiffness, which is used as an alternative method to liver biopsy. Not only liver fibrosis but also other factors contribute to liver stiffness. In the present study certain factors which can influence the accuracy of Transient elastography were analysed. After applying Spearman?s correlation I found that certain factors like Age, BMI, Albumin, SGOT, SGPT, INR, platelets, Total bilirubin, Waist circumference had correlation with Transient elastography scores and can influence TEE values. Through multiple regression analysis, the two factors Albumin and SGOT were found to be independent predictors of Liver Stiffness Measurement (LSM).
Platelets production is affected by thrombopoietin which is synthesized by hepatocytes. With the development of liver tissue fibrosis, thrombopoietin levels decrease and cause thrombocytopenia [40,41]. Liver is the organ were albumin is synthesised and bilirubin is excreted. Both are affected as fibrosis progresses. Hencealbumin had a negative correlation and bilirubin has a positive correlation with Transient elastography scores.
All blood coagulation factors with the exception of calcium ions and factor VIIa, are synthesized in the liver. INR is another factor which can be affected once the patient develops cirrhosis and it was found in the study to have a positive correlation with Transient elastography scores. Fatty liver can progress into liver fibrosis and cirrhosis [42]. In obese individuals, the thickness of fat layer on the abdominal wall may lead to overestimation of the LSM value. But in my study it was found that Skin fold thickness (over the site where Fibro scan probe is kept) was found to have no significant correlation with Transient elastography scores. BMI and waist circumference had a positive correlation with Transient elastography scores in the study.
Hepatitis which is characterised by a 10 fold rise in SGOT and SGPT, can falsely increase the LSM [39]. Igot a positive correlation of TEE scores with SGOT and SGPT values. LSM has been found to be falsely elevated in acute hepatitis, manifested as SGOT and SGPT flares [43,44]. Severe hepatitis can lead to LSM values well within the cirrhotic range, even in the absence of fibrosis on histology [45,46]. Therefore reading a LSM value in this setting should be careful and the clinician has to wait till transa minitis subsides or falls below five times upper limit normal [47,48].
Multiple regression analysis which was performed on the indexes of age, BMI, Hemoglobin, Platelets, SGOT, SGPT, GGT, Alkaline phosphatase, Total protein, Albumin, Total bilirubin, waist circumference and INR, demonstrated that the effects of Albumin and SGOT on Liver stiffness measurement (LSM) were statistically significant (all P value <0.05).Thus it was found that albumin and SGOT were independent predictors of Liver stiffness measurement (LSM).
However, there were certain limitations in my study. Liver stiffness measurement was done with M probe. In this study 28 patients (30%) had obesity. It has been noted that unreliable LSMs occurs at about 3% and 11.6–18.4% in all TEE examinations and they are independently associated with BMI >30 kg/m2 in both Caucasians and Chinese [49,50]. The success rate of LSMs with the M probe may be less than 75% in NAFLD patients with BMI >30 kg/ m2 [51-58]. XL probe was not used in obese population due to unavailability of the probe.
Another limitation of the study was the effect of transaminitis in the range of more than five times upper limit of normal value on TEE values. LSM can be falsely elevated in acute hepatitis, manifested as SGOT and SGPT flares. Severe hepatic necro inflammation may lead to LSM values well within the cirrhotic range, even in the absence of fibrosis on histology. In this study 5 patients had transaminitis in the range of more than five times upper limit of normal value which could have affected the study result.
Transient Elastography was found to be better in detecting liver stiffness than liver biopsy in clinically suspected cirrhosis in this study. This could be because in liver biopsy, the liver tissue samples obtained for biopsy comprise only ~1/50,000 of the entire liver tissue, and therefore may not reflect the condition of the entire liver. The detection capacity of Fibro scan is ~100-fold greater compared with that of liver biopsy, despite the fact that its accuracy is influenced by certain factors.
Conclusions
In conclusion, Fibro scan is a non-invasive method for assessing liver stiffness, which can be used as an alternative method to liver biopsy. There are certain factors other than liver fibrosis which affects TEE values. Evaluating the degree of liver fibrosis simply based on the LSM value may not be accurate. In patients with minimal fibrosis (F0-2) there were certain confounding factors like SGPT, Albumin and INR which can influence TEE Values. And total bilirubin and platelets had a moderate influence on TEE values. But in patients with significant fibrosis (F3) group there was only one confounding factor like age which could influence TEE values. Transient Elastography was found to be better in detecting liver stiffness than liver biopsy in clinically suspected cirrhosis in this study. The diagnosis and evaluation of liver fibrosis should comprehensively consider the results of Fibro scan along with the clinical and laboratory examination results.
Conflicts of Interest
None.
Disclosure of Funding Received for the Work
None.
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