Literature DB >> 33442148

Factors associated with the Severity of Findings on Hepatic Transient Elastography among Persons with Type 2 Diabetes and Fatty Liver.

Joseph Noel Fernando1, Rebecca Lim Alba1, Willy Alba2.   

Abstract

OBJECTIVE: This study aims to determine the relationship between the different factors associated with the severity of Fibroscan with CAP findings among patients with Type 2 diabetes and fatty liver.
METHODOLOGY: This is a cross-sectional study. Seven hundred four Fibroscan with Controlled Attenuation Parameter (CAP) results were electronically retrieved from a diagnostic center. 285 charts of diabetic patients with fatty liver on ultrasound were reviewed. 164 patients with fatty liver on ultrasound and Fibroscan with CAP were included in the study. Several factors were analysed in relation to the severity of Fibroscan with CAP findings in the study group.
RESULTS: Fifty five point five percent (55.5%) (91/164) had significant fibrosis and cirrhosis. Hepatic steatosis prevalence was 96% (158/164). Diabetes >5 years (OR 1.75), HbA1c >7% (OR 2.25) and high SGPT levels (OR 2.39) were associated with liver fibrosis and cirrhosis. BMI >25 kg/m2 (OR 1.45), triglyceride levels >150 mg/dl (OR 1.31) and HbA1c >7% (OR 1.74) were associated with hepatic steatosis.
CONCLUSION: Factors associated with the severity of hepatic fibrosis, cirrhosis and steatosis included above normal BMI, disease duration of >5 years, poor glycemic control and elevated levels of ALT, and serum triglycerides.
© 2019 Journal of the ASEAN Federation of Endocrine Societies.

Entities:  

Keywords:  NAFLD; transient elastography; type 2 diabetes

Year:  2019        PMID: 33442148      PMCID: PMC7784217          DOI: 10.15605/jafes.034.02.03

Source DB:  PubMed          Journal:  J ASEAN Fed Endocr Soc        ISSN: 0857-1074


INTRODUCTION

Non-alcoholic fatty liver disease (NAFLD) is increasingly recognized as the liver disease component of metabolic syndrome.[1] NAFLD is present when >5% of hepatocytes are steatotic in patients who do not consume excessive alcohol (i.e. <20 g/day for women and <30 g/day for men) and ranges in severity from simple steatosis (fat without significant hepatic inflammation or hepatocellular injury, to steatohepatitis (fat with hepatocellular injury and hepatic inflammation), to advanced fibrosis and cirrhosis.[2] The definition of NAFLD by the American Association for the Study of Liver Disease (AASLD) requires that (a) there is evidence of hepatic steatosis, either by imaging or histology and (b) there are no causes for secondary hepatic fat accumulation such as significant alcohol consumption, use of steatogenic medications, or hereditary disorders. In the majority of patients, NAFLD is associated with metabolic risk factors such as obesity, diabetes mellitus, and dyslipidemia.[1] Up to 90% of patients with NAFLD have simple steatosis, which carries a relatively benign prognosis,[3] with no overall increase in mortality.[4,5,6] However, approximately 10-30% have the potentially progressive form of NAFLD, non-alcoholic steatohepatitis (NASH), which is associated with hepatocellular injury and inflammation.[4,7,8] Approximately 25-40% of patients with NASH develop progressive liver fibrosis, ultimately resulting in cirrhosis in 20-30%.[4,6,9-11] NAFLD and Type 2 diabetes mellitus frequently coexist because they share the risk factors of excess adiposity and insulin resistance. The prevalence of Type 2 diabetes or impaired fasting glucose ranges from 18–33% in patients with NAFLD, whereas, NAFLD ranges from 49–62% in type 2 diabetes patients. NASH is present in 12.2% of patients with Type 2 diabetes, as compared to 4.7% in those without Type 2 diabetes. Moreover, Type 2 diabetes increases the risk of liver-related death by up to 22-fold as well as overall death by 2.6–3.3-fold in patients with NAFLD.[12] The reported prevalence of NAFLD when defined by liver ultrasound ranged between 17% and 46% depending on the population studied. In a study consisting of nearly 400 middle-aged individuals, the prevalence of NAFLD defined by ultrasonography was 46% and the prevalence of histologically confirmed NASH was 12.2%. Estimates of the worldwide prevalence of NAFLD ranges from 6.3% to 33% with a median of 20% in the general population based on a variety of assessment methods.[13] An ultrasonographic study of patients with Type 2 diabetes showed a 69% prevalence of NAFLD.[14] In another study, 127 of 204 patients with diabetes displayed fatty infiltration on ultrasound, and 87% of the patients with fatty infiltration who consented to biopsy had histologic confirmation of NAFLD.[15] Ultrasonography is recommended as first-line diagnostic screening test for NAFLD by the European Association for the Study of the Liver (EASL), the European Association for the Study of Diabetes (EASD) and the European Association for the Study of Obesity (EASO). In their recent recommendations, biomarkers, fibrosis scores and transient elastography are considered acceptable noninvasive procedures for the identification of cases with low risk of advanced fibrosis/cirrhosis.[16] Current guideline postulates that liver biopsy is the most reliable approach for identifying the presence of steatohepatitis and fibrosis in patients with NAFLD, but it is generally acknowledged that biopsy is limited by cost, sampling error, and procedure-related morbidity and mortality.[1] Current guidelines state that a liver biopsy is the only way to diagnose NASH, and non-invasive techniques have not been fully validated for diagnosing this condition. However, empiric therapy is included as an option for patients unwilling or unable to undergo a liver biopsy. The American Diabetes Association has made an algorithm for the diagnosis of NAFLD and NASH in patients with prediabetes or Type 2 diabetes mellitus in clinical practice (See Appendix A).[17] Transient elastography (Fibroscan, Echosens, Paris, France) is a non-invasive method of assessing liver fibrosis which can be performed at the bedside or in an outpatient clinic. It uses ultrasound-based technology to measure liver stiffness. Although Fibroscan is less well validated in NAFLD, in a study of 97 NAFLD patients, Area under the receiver operating characteristics (AUROCs) for the diagnosis of significant fibrosis, severe fibrosis, and cirrhosis were reported to be 0.88, 0.91, and 0.99, respectively. Another study including 246 NAFLD patients showed AUROCs for the diagnosis of moderate fibrosis, bridging fibrosis, and cirrhosis of 0.84, 0.93, and 0.95, respectively.[18] Reproducibility of transient elastography is important for its widespread application. The reproducibility of liver stiffness measurement (LSM) was excellent for both interobserver and intra-observer agreement, with intraclass correlation coefficients (ICC) of 0.98.[19] For NASH with advanced fibrosis, pooled AUROC, sensitivity and specificity of Fibroscan are 0.94 (0.90-0.99), 0.94 (0.88-0.99) and 0.95 (0.89-0.99).[20] A novel non-invasive tool based on ultrasound attenuation has been developed for use with the Fibroscan to assess liver steatosis. Measuring ultrasound attenuation in biological tissues is of great interest because it is related to the composition of tissues and, thus, reflects their pathological state. Transient elastography with Controlled Attenuation Parameter (CAP) is non-invasive and allows measurement of hepatic fat content in numerical scores (See Appendix B). CAP is evaluated using the same radio-frequency data and the same region of interest, as the region used to assess the LSM. CAP is guided by vibration-controlled transient elastography (VCTETM), which ensures the operator automatically obtains an ultrasonic attenuation value of the liver. CAP was shown to be significantly correlated with steatosis grade (Spearman=0.81, P<10−16). CAP was shown to be independent of fibrosis stage, and satisfactorily detected steatosis, with AUROCs for the diagnosis of S1, S2 and S3 of 0.91 (0.86~0.97), 0.95 (0.9~1) and 0.89 (0.75~1), respectively.[21] Compared with patients without diabetes, people with Type 2 diabetes have an increased risk of developing NAFLD. The presence of NAFLD in patients with Type 2 diabetes is linked to increased cardiovascular disease risk independently from the components of the metabolic syndrome. As a result of the increasing incidence of NAFLD in Type 2 diabetes and metabolic syndrome, with its associated morbidity and mortality, screening for NAFLD in all patients with one or more metabolic syndrome components by a noninvasive method, such as Transient Elastography with CAP, appears reasonable. Hence, the diagnosis and evaluation of fatty liver is an important part of the management of diabetes. When diabetes patients are diagnosed with NAFLD, more intensive monitoring and therapeutic intervention are necessary to avoid complications of liver fibrosis and cirrhosis, especially hepatocellular carcinoma.

General objective

This study aims to determine the relationship between the different factors associated with the severity of Fibroscan with CAP findings among patients with Type 2 diabetes and fatty liver seen at Chinese General Hospital and Medical Center. To define the metabolic profile of type 2 diabetic patients with fatty liver on ultrasound and Fibroscan with CAP. To determine the prevalence of hepatic fibrosis, cirrhosis and steatosis on Fibroscan with CAP. To determine the association of the demographic factors (age, gender), clinical factors (weight, BMI, duration of diabetes), biochemical tests (lipid profile, ALT, FBS, HbA1c), and transient elastography findings of patients with Type 2 diabetes with fatty liver on ultrasound.

METHODOLOGY

Study design, setting and participants

We performed a cross-sectional analytic study utilizing chart reviews of qualified patient profiles from January 2017 to June 2018. Seven hundred four Fibroscan with CAP results were retrieved electronically at a local, independent diagnostic center. This diagnostic test was done as part of routine work-up for patients with fatty liver on ultrasound on an outpatient setting. Complete enumeration of study subjects was done. We identified 285 subjects with Type 2 diabetes mellitus. Applying the inclusion and exclusion criteria, we were able to come up with the total number of 164 subjects eligible for the study. One hundred twenty-one subjects were excluded in the study due to absence of fatty liver on abdominal ultrasound. A review on the clinical records and laboratory results was done at attending physicians’ clinics. Only those patients under the care of physicians from Chinese General Hospital and Medical Center were included in the study. Anthropometric (body mass index, height, weight) and laboratory parameters (fasting blood sugar, ALT, glycosylated hemoglobin (HbA1c), and fasting lipid profile) were recorded in a data collection form. Duration of Type 2 diabetes mellitus was also noted (Figure 1). All pertinent information were gathered and recorded at the period when the Fibroscan with CAP was done. Clinic records of patients were checked for history of hepatitis infection thru results of serologic tests, significant alcohol intake (>1 drink per day for adult women, >2 drinks per day for adult men), use of liver supplement medications, or hepatotoxic drug use (See Appendix B). All patients enlisted had undergone abdominal ultrasonography and Fibroscan with CAP performed by an experienced operator. To avoid observer variability and to maintain consistency of transient elastography readings, only results read by same authorized trained personnel were accounted for in the study.
Figure 1

Summary of the study procedure.

Summary of the study procedure.

Study variables

Multiple independent variables were analyzed in relation to the occurrence of hepatic steatosis, fibrosis and cirrhosis (dependent variable). Age and disease duration categorizations were based on previous epidemiological studies on diabetes and NAFLD.[22,23] BMI was computed by dividing subject’s weight (kg) with height (m2). The Asia- Pacific Asian BMI criteria were used to group patients into underweight, normal, overweight and obese subjects.[24] Glycemic control was defined by the fasting blood sugar and HbA1c levels of the patients. Poorly controlled diabetes is reflected by a fasting blood sugar of >126 mg/dl and HbA1c of >7% as stated in the 2018 American Diabetes Association (ADA) Standards of Medical Care in Diabetes. Blood cholesterol and triglyceride levels categorization into optimal, normal, desired or high levels were based on the National Cholesterol Education Program – Adult Treatment Panel (NCEP-ATP III) 2001 guidelines (See Appendix C). SGPT levels were described to be above 2x or 3x normal based on individual laboratory reference cut-off.

Sample size computation

Sample size for this study was computed based on the proportion of patients with fatty liver of 0.58 and the proportion with no fatty liver of 0.42. In a computation for comparison of two proportions carried out at 95% confidence level or z-value at 1.96, a sample of 164 patients with Type 2 diabetes with hepatic steatosis, fibrosis and cirrhosis on Fibroscan with CAP was taken from a total of 285 patients from the ideal sample size computation.

Inclusion and exclusion criteria

The study included patients 18 years old and above who were diagnosed with Type 2 diabetes mellitus based on the 2015 Unite for Diabetes Philippines Clinical Practice Guidelines (See Appendix D).[25] Patients with the following attributes were excluded in the study: patients with no fatty liver on ultrasound, impaired fasting glucose, impaired glucose tolerance, gestational diabetes, Type 1 diabetes mellitus; history of liver disease secondary to chronic alcohol intake, acute or chronic viral infections like hepatitis A, B and C; hepatotoxic drug use and intake of liver supplements; cholestasis; hepatic congestion.

Interpretation of transient elastography results

The interpretation of transient elastography results were based on the cut-off parameters laid out by a reliable, independent diagnostic center which utilized the M Probe of Fibroscan device model 502-SN-FO1335 (See Appendix E) handled by a single experienced operator. Interpretation guide for diagnosing nonalcoholic fatty liver disease (NAFLD) were as follows: for liver stiffness measurement (LSM): F0-F1 - minimal or no fibrosis (≥5.8 kPa), F2 – possible intermediate fibrosis (>5.8-<9.6 kPa), F3 - advanced fibrosis (>9.6-11.5 kPa), F4 - Cirrhosis (>11.5 kPa); for controlled attenuation parameter (CAP): Grade S0 - <10% fatty infiltration (<221 dB/m), Grade S1 – 11-33% fatty infiltration (222-232 dB/m), Grade S2 – 34-66% fatty infiltration (233-289 dB/m), Grade S3 – >66% fatty infiltration (≥290 dB/m).

Data analysis

Descriptive analysis of the different sociodemographic and clinical characteristics of the study population was done using means and percentages. Standard deviation was computed as a measure of dispersion for data results with means. The prevalence rate of detecting fatty liver on Fibroscan with CAP was determined. Logistic regression analysis of the different variables in the study was done to determine the odds of developing hepatic steatosis, fibrosis and cirrhosis. The estimated or crude odd ratios were then computed. The variables analyzed categorically included age, body mass index, diabetes duration, total cholesterol level, triglyceride level, HDL-C and LDL-C levels, and fasting blood sugar and ALT levels. The Chi square test for independence was used to establish the association between the different factors (age, sex, height, weight, BMI, lipid profile, ALT, FBS, HbA1c, diabetes duration) and transient elastography findings of the diabetic patients with fatty liver on ultrasound that was tested at 0.05 level of significance.

Ethical considerations

Approval from the Institutional Ethics Committee was obtained before initiating the study. Consent from the different attending physicians was pursued concerning collection of vital information from the patients’ medical records. Patient identity and information gathered in the data collection forms were coded using letters and numbers to maintain confidentiality. Retrieval of Fibroscan with CAP results at an independent diagnostic center was accomplished by a consent letter addressed to the management. To maintain confidentiality, Fibroscan with CAP results were also tallied as coded numbers, each code representing a single patient. Privacy and confidentiality of data and results were protected in compliance with the Data Privacy Act.

RESULTS

We retrieved a total of 704 transient Fibroscan with CAP results in this study. Two hundred eighty-five patients were identified as having Type 2 diabetes mellitus. We came up with 164 patients eligible for the study after excluding 121 patients with diabetes with no fatty liver findings on ultrasound. Due to the high risk for metabolic and cardiovascular complications in patients with diabetes, as evidenced in several studies,[17,22] we categorized patients in the ages <40 and ≥40 years old. Table 1 described the sociodemographic characteristics of the study population. Mean age was 57 years old. Mean duration of diabetes was 4 years. Mean weight and height were 71.43 kilograms and 1.61 meters, respectively. Majority (89%) of the patients aged at least 40 years old with both males and females equally represented. Most of them were overweight and obese (90%) and had diabetes duration of <5 years (62.8%). Table 2 described the laboratory results of the subjects. Mean FBS and ALT levels were 130 mg/dl and 38.27 IU/L, respectively. 59.76% of the population had high LDL-C levels. However, most had normal fasting blood sugar (58.54%), total cholesterol (60.37%), triglyceride level (60.37%), HDL-C (63.41%), HbA1c (81.1%) and ALT (54.27%).
Table 1

Socio-demographic characteristics of the study population

Patient Characteristics (N=164)N (%)
Mean age ± SD (years)* and (range)57.27±13.06 (25-84)
 a. <4018 (10.98)
 b. ≥40
146 (89.02)
Mean height ± SD (meters) and (range)
1.61±12.50 (1.32-1.83)
Mean weight ± SD (kilograms) and (range)
71.43±8.13 (44-125)
Sex
 a. Male84 (51.22)
 b. Female
80 (48.78)
Body mass index (BMI) (kg/m2) **
Mean BMI ± SD27.58±4.25
 a. <18.5 (underweight)1 (0.61)
 b. 18.5-22.9 (normal)15 (9.15)
 c. 23-24.9 (overweight)28 (17.07)
 d. ≥25 (obese)
120 (73.17)
Mean diabetes duration (years) and (range) + SD4.05±3.63 (0.5-20)
 a. <5103 (62.80)
 b. ≥561 (37.20)

Age cut-off as referenced from Unite for Diabetes Philippines CPG 2014[25]

Asia-Pacific Asian BMI criteria[24]

Table 2

Laboratory data of the study population

Laboratory tests of patients (N=164)N (%)
Mean Fasting Blood Sugar ± SD (mg/dl) and (range)130.01±46.39 (72-393)
 a. ≥12696 (58.54)
 b. >126
68 (41.46)
HbA1c (%)
 a. ≤7%133 (81.10)
 b. >7%
31(18.90)
Lipid Profile*
 a. Total cholesterol (mg/dl)
  ≤200 (normal)99 (60.37)
  >200 (high)65 (39.63)
 b. Triglycerides (mg/dl)
  ≤150 (normal)103 (62.80)
  >150 (high)61(37.20)
 c. HDL (mg/dl)
  <40 (low)37 (22.56)
  40-60104 (63.41)
  ≤60 (high)23 (14.02)
 d. LDL (mg/dl)
  <100 (normal)66 (40.24)
  >100 (high)
98 (59.76)
Mean ALT level + SD (IU/L)** and (range)38.27±22.23 (11-118)
 a. Normal89 (54.27)
 b. ≤2x normal50 (30.48)
 c. ≤3x normal25 (15.24)

National Cholesterol Education Program – Adult Treatment Panel (NCEP-ATP) III Guidelines

Normal ranges with reference to individual laboratory cut-off values HbA1c – glycosylated hemoglobin; HDL – high density lipoprotein; LDL – low density lipoprotein; ALT – alanine aminotransferase

Socio-demographic characteristics of the study population Age cut-off as referenced from Unite for Diabetes Philippines CPG 2014[25] Asia-Pacific Asian BMI criteria[24] Laboratory data of the study population National Cholesterol Education Program – Adult Treatment Panel (NCEP-ATP) III Guidelines Normal ranges with reference to individual laboratory cut-off values HbA1c – glycosylated hemoglobin; HDL – high density lipoprotein; LDL – low density lipoprotein; ALT – alanine aminotransferase Around 55.5% of the patients had intermediate to advanced fibrosis and cirrhosis of the liver (Figure 2). Ninety six percent (96%) of the population had minimal to severe hepatic steatosis as documented on transient elastography with CAP (Figure 3). Note that only 44.5% and 3.66% of the subjects presented with minimal to no fibrosis, and no significant steatosis, respectively.
Figure 2

Liver stiffness measurement (LSM) data of patients (N=164).

Figure 3

Controlled attenuation parameter (CAP) data of patients (N=164).

Liver stiffness measurement (LSM) data of patients (N=164). Controlled attenuation parameter (CAP) data of patients (N=164). On Tables 3 and 4, the clinical characteristics of patients with fibrosis under LSM, and steatosis under CAP were outlined. 57.5% and 96.57% of the patients aged at least 40 years old had intermediate to advance fibrosis/cirrhosis on liver stiffness measurement, and mild to severe steatosis on controlled attenuation parameter, respectively. Note in the ages ≥40 years, 20 patients presented with cirrhosis (Table 4). There was a higher percentage of males with intermediate to advanced fibrosis and cirrhosis (52.7%) compared to females (47.3%) under LSM.
Table 3

Liver stiffness measurement (LSM) scores relative to patient characteristics

Patient Characteristics (N=164)N (%)
Minimal to no fibrosis (F0-F1)Intermediate fibrosis (F2)Advance fibrosis (F3)Cirrhosis (F4)
Age (years)*
 <4011 (15.07)7 (11.29)0 (0.00)0 (0.00)
 ≥40
62 (84.93)
55 (88.71)
9 (100.00)
20 (100.00)
Sex
 Male36 (49.32)37 (59.68)3 (33.33)8 (40.00)
 Female
17 (50.68)
25 (40.32)
6 (66.67)
12 (60.00)
BMI (kg/m2)**
 <2524 (32.88)9 (38.71)4 (44.44)7 (40.00)
 ≥25
49 (67.12)
53 (61.29)
5 (55.56)
13 (60.00)
FBS (mg/dl)
 <12644 (60.20)34 (54.84)4 (44.44)14 (30.00)
 ≥126
29 (39.73)
28 (45.16)
5 (55.56)
6 (70.00)
HbA1c (%)
 <763 (86.30)46 (74.19)4 (44.44)16 (80.00)
 ≥7
10 (13.70)
16 (25.81)
5 (55.56)
4 (20.00)
Total cholesterol (mg/dl)
 <20044 (60.27)35 (56.45)5 (55.56)15 (75.00)
 ≥200
29 (39.73)
27 (43.55)
4 (44.44)
5 (25.00)
Triglycerides (mg/dl)
 <15049 (67.12)40 (64.52)4 (44.44)10 (50.00)
 ≥150
24 (32.88)
22 (35.48)
5 (55.56)
10 (50.00)
HDL (mg/dl)
 <4013 (17.81)15 (24.19)4 (44.44)5 (20.00)
 40-6047 (64.38)41 (66.13)5 (55.56)11 (55.00)
 >60
13 (17.81)
6 (9.68)
0 (0.00)
14 (25.00)
LDL-C (mg/dl)
 <10031 (42.47)22 (35.48)4 (44.44)9 (45.00)
 ≥100
42 (57.53)
40 (64.52)
5 (55.56)
11 (55.00)
ALT (IU/L)***
 Normal41 (56.16)24 (38.70)2 (22.22)9 (45.00)
 ≥2x N20 (27.40)18 (29.03)2 (22.22)4 (20.00)
 ≥3x N
12 (16.44)
20 (32.26)
5 (55.56)
7 (35.00)
DM duration
 <5 years49 (67.12)38 (61.29)4 (44.44)12 (60.00)
 ≥5 years24 (32.88)24 (38.71)5 (55.56)8 (40.00)

Age cut-off as referenced from Unite for Diabetes Philippines CPG 2014[25]

Asia Pacific Asian BMI criteria[24]

Normal ranges with reference to individual laboratory cut-off values

BMI – body mass index; FBS – fasting blood sugar; HbA1c – glycosylated hemoglobin; HDL – high density lipoprotein; LDL – low density lipoprotein; ALT – alanine aminotransferase

Table 4

Controlled attenuation parameter (CAP) scores relative to patient characteristics

Patient Characteristics (N=164)N (%)
Grade 0Grade S1 (minimal steatosis)Grade S2 (moderate steatosis)Grade S3 (severe steatosis)
Age (years)*
 <401 (16.67)0 (0.00)8 (12.5)9 (12.33)
 ≥40
5 (83.33)
21 (100.00)
56 (87.50)
64 (87.67)
Sex
 Male13 (61.90)3 (50.00)36 (56.25)32 (43.84)
 Female
8 (38.10)
3 (50.00)
28 (43.75)
41 (56.16)
BMI (kg/m2)**
 <256 (28.57)5 (83.33)17 (26.56)16 (21.91)
 ≥25
15 (71.43)
1 (16.67)
47 (73.44)
57 (78.08)
FBS (mg/dl)
 <12612 (57.14)4 (66.67)35 (54.69)45 (61.64)
 ≥126
9 (42.86)
2 (33.33)
29 (45.31)
28 (38.36)
HbA1c (%)
  <718 (85.71)5 (83.33)49 (76.56)58 (79.45)
 ≥7
3 (14.29)
1 (16.67)
15 (23.44)
15 (20.55)
Total cholesterol (mg/dl)
  <20013 (61.90)3 (50.00)42 (65.63)41 (56.16)
 ≥200
8 (38.10)
3 (50.00)
22 (34.38)
32 (43.84)
Triglycerides (mg/dl)
  <15012 (57.14)3 (50.00)48 (75.00)48 (54.79)
 ≥150
9 (42.86)
3 (50.00)
16 (25.00)
16 (45.21)
HDL (mg/dl)
 <406 (28.57)1 (16.67)14 (21.88)16 (21.92)
 41-5912 (57.14)4 (66.67)39 (60.94)49 (67.12)
 >60
13 (14.29)
1 (16.67)
11 (17.19)
8 (10.96)
LDL-C (mg/dl)
  <1008 (38.10)2 (33.33)29 (45.31)27 (36.99)
 ≥100
13 (61.90)
4 (66.67)
35 (54.69)
46 (63.01)
ALT (IU/L)***
 Normal13 (61.90)4 (36.36)28 (43.75)31 (42.47)
 ≥2x N4 (19.05)4 (36.36)16 (25.00)20 (27.40)
 ≥3x N
4 (19.05)
3 (27.27)
20 (31.25)
22 (30.14)
DM duration
 <5 years13 (61.90)5 (83.33)43 (67.19)42 (57.53)
 ≥5 years8 (38.10)1 (16.67)21 (32.81)31 (42.47)

Age cut-off as referenced from Unite for Diabetes Philippines CPG 201425

Asia Pacific Asian BMI criteria24

Normal ranges with reference to individual laboratory cut-off values

BMI – body mass index; FBS – fasting blood sugar; HbA1c – glycosylated hemoglobin; HDL – high density lipoprotein; LDL – low density lipoprotein; ALT – alanine aminotransferase

Liver stiffness measurement (LSM) scores relative to patient characteristics Age cut-off as referenced from Unite for Diabetes Philippines CPG 2014[25] Asia Pacific Asian BMI criteria[24] Normal ranges with reference to individual laboratory cut-off values BMI – body mass index; FBS – fasting blood sugar; HbA1c – glycosylated hemoglobin; HDL – high density lipoprotein; LDL – low density lipoprotein; ALT – alanine aminotransferase Controlled attenuation parameter (CAP) scores relative to patient characteristics Age cut-off as referenced from Unite for Diabetes Philippines CPG 201425 Asia Pacific Asian BMI criteria24 Normal ranges with reference to individual laboratory cut-off values BMI – body mass index; FBS – fasting blood sugar; HbA1c – glycosylated hemoglobin; HDL – high density lipoprotein; LDL – low density lipoprotein; ALT – alanine aminotransferase However, under CAP measurement, there was negligible difference of having steatosis for both sexes (males 49.7% vs females 50.3%). Majority of the population who had higher degrees of fibrosis and steatosis had elevated BMI and LDL-C levels. SGPT levels were also above normal for patients with intermediate to advanced fibrosis/cirrhosis (59.3%) and mild to severe steatosis (55.9%). Majority had normal fasting blood sugar, glycated hemoglobin, total cholesterol and HDL-C levels. For both observations, diabetes duration was less than 5 years in most cases. Logistic regression analysis was done to determine the association of the different variables in relation to the occurrence of liver fibrosis and cirrhosis in the study population (Table 5). A significant association was seen with duration of diabetes, HbA1c and ALT levels. There is 75% increase in the odds of having liver fibrosis and cirrhosis if diabetes duration was <5 years duration (OR 1.75, 95% CI 1.02-2.99, p=0.041), 125% increase in the odds of having liver fibrosis and cirrhosis if HbA1c levels ≥7% (OR 2.25, 95% CI 1.026-4.90, p=0.043) and 139% increase in the odds if SGPT ≥2-3x elevated from normal value (OR 2.389, 95% CI 1.46-3.93, p=0.001).
Table 5

Analysis of the different variables involved in the occurrence of liver fibrosis

VariableOdds Ratiop value*95% CI
Age ≥40 years old1.2850.5280.589-2.801
Male sex1.1820.5080.719-1.943
BMI >25kg/m21.1280.6550.664-1.915
Total cholesterol >200 mg/dl0.7570.3890.402-1.425
Triglyceride >150mg/dl1.2050.5220.679-2.139
HDL <40 mg/dl0.9280.8100.506-1.702
LDL >100 mg/dl1.0300.9220.562-1.000
HbA1c ≥7%2.2540.0431.026-4.9
FBS ≥126 mg/dl0.6980.2420.382-1.274
ALT ≥2-3x N2.3890.0011.45-3.93
DM duration >5 years1.7570.0411.02-2.99

p value significant at <0.05

BMI – body mass index; HDL – high density lipoprotein; LDL – low density lipoprotein; HbA1c – glycosylated hemoglobin; FBS – fasting blood sugar; ALT – alanine aminotransferase

Analysis of the different variables involved in the occurrence of liver fibrosis p value significant at <0.05 BMI – body mass index; HDL – high density lipoprotein; LDL – low density lipoprotein; HbA1c – glycosylated hemoglobin; FBS – fasting blood sugar; ALT – alanine aminotransferase Table 6 showed the variables involved in the occurrence of hepatic steatosis of the study group. Significant variables associated with the development of hepatic steatosis included BMI, HbA1c and triglyceride level. There is 31% increase in the odds that the patient will have a CAP score other than S0 if triglyceride levels >150 mg/dl (OR 1.31, 95% CI 0.647-2.59, p=0.0102) compared to those who have triglyceride levels <150 mg/dl. There is 45% increase in the odds that the patient will have a CAP score other than S0 if BMI >25k/m2 (OR 1.45, 95% CI 0.578-2.09, p=0.028) compared to those who have BMI <25kg/m2. There is 74% increase in the odds that the patient will have a CAP score other than S0 if HbA1c is ≥7% (OR 1.775, 95% CI 0.608-4.19, p=0.004) compared to those who have HbA1c <7%.
Table 6

Analysis of the different variables involved in the occurrence of hepatic steatosis

VariableOdds Ratiop value*95% CI
Age ≥40 years0.1230.4040.159-0.983
Male sex0.7670.4140.416-1.212
Total cholesterol >200 mg/dl0.7230.4610.310-1.765
Triglyceride >150 mg/dl1.3080.0100.647-2.591
HDL <40 mg/dl0.6880.3830.407-1.631
LDL >100 mg/dl1.6660.2110.742-3.039
FBS ≥126 mg/dl0.7130.3680.340-1.453
HbA1c ≥7%1.7450.0040.608-4.188
DM duration >5 years1.1930.6230.569-2.345
BMI >25 kg/m21.4480.0280.578-2.090

p value significant at <0.05

HDL – high density lipoprotein; LDL – low density lipoprotein; FBS – fasting blood sugar; HbA1c – glycosylated hemoglobin; BMI – body mass index

Analysis of the different variables involved in the occurrence of hepatic steatosis p value significant at <0.05 HDL – high density lipoprotein; LDL – low density lipoprotein; FBS – fasting blood sugar; HbA1c – glycosylated hemoglobin; BMI – body mass index A Chi square test for independence was done to document the association of the demographic and clinical factors, and biochemical test results with the Fibroscan findings. In this study, the fatty liver findings on ultrasound was associated with significant CAP scores since p-value of the chi square test for independence was significant (p value=0.033,

DISCUSSION

In our study, the prevalence of fatty liver documented on ultrasound among the type 2 diabetes mellitus population was 57.5% (164/285), higher than the results of the study of Prasetya et al.,[22] which was conducted among outpatient persons with Type 2 diabetes in Indonesia. This finding was in congruence with the rising number of patients with metabolic syndrome and/or Type 2 diabetes as reported in several epidemiological studies. Similar to the findings of Lesmana et al.[23] NAFLD was prevalent among age at least 40 years old. There was higher incidence of mild to severe hepatic steatosis (96%) when transient Fibroscan with CAP was utilized, a finding consistent with that of Grgurevic et al.,[26] In the study of Roulot et al.,[27] wherein 47 patients with LSM score of ≥8 kPa underwent liver biopsy, 93% had steatosis and 51% had severe fibrosis. Most of the patients in this study had diabetes mellitus of at least 5 years, indicating that the process of NAFLD might be associated with disease duration. The available literature explained that the process of NAFLD might have occurred long before the diagnosis of Type 2 diabetes mellitus.[28] In our case, the odds of having fatty liver, in relation to diabetes duration, was increased when examined statistically, similar to the findings of Khan et al.[28] Most of the patients in our study had high BMI. Reviewing the CAP scores of the subjects pointed out that varying degrees of hepatic steatosis (S1-S3) occurred in the overweight to obese population, along with elevated serum triglyceride levels. These findings were consistent with the reports of Trovato et al.[29] In a study by Leite et al.,[14] above normal ALT was associated with hepatic steatosis, however, glycemic control was not associated with the increased risk of NAFLD in patients with diabetes. On the contrary, our findings showed that poor glycemic control was a predictive risk factor for NAFLD. The contradicting results indicate that there are a lot of unidentified factors underlying NAFLD occurrence in patients with diabetes. Our study found the prevalence of significant fibrosis and cirrhosis in 55.5% of patients with NAFLD. The rate was somewhat higher than the results from the study of Prasetya et al.[22] However, studies examining the degree of fibrosis in patients with NAFLD are still limited, probably, due to the mere fact that liver biopsy remains the gold standard for characterizing liver histological alterations in patients with NAFLD as outlined in the 2018 Clinical Practice Guidelines of the American Association for the Study of Liver Disease for the Diagnosis and Management of Nonalcoholic Fatty Liver Disease. Higher ALT levels, HbA1c >7% and disease duration of >5 years were associated with the occurrence of varying degrees of fibrosis in our study.

Strengths and limitations of the study

Our study had a greater number of recruited subjects compared to prior studies published. This is one of a few local studies done on determining the prevalence and incidence of NAFLD in type 2 diabetic patients along with its predisposing risk factors utilizing transient elastography with CAP. However, some limitations included: cross-sectional retrospective design, it cannot describe the total causality of the disease; single-center study, which may not represent the entire Filipino population. A major limitation was selection bias. The data collection process should have started with the clinic chart reviews of qualified type 2 diabetic subjects, then proceeding to retrieval of ultrasound results, thereafter, the Fibroscan readings. Since we wanted to maintain consistency of Fibroscan with CAP readings, we electronically retrieved the results beforehand in a single and independent diagnostic center with the procedure done by a single, well-trained operator. In this way, we were able to avoid inter-observer variability of data which may affect the study results.

Recommendations

Larger studies for longer periods of time are needed to firmly establish the validity of this study results. Multicenter studies are highly recommended. Further studies are also recommended to determine the sensitivity and specificity of Fibroscan with CAP as a screening tool for identifying hepatic steatosis and fibrosis among patients with NAFLD.

CONCLUSION

The prevalence of fatty liver among patients with Type 2 diabetes on ultrasound in this study was 57% (164/285). Majority of patients with fatty liver on ultrasound had confirmed hepatic steatosis on Fibroscan with CAP, with the prevalence of 96% (158/164). Controlled attenuation parameter scores were associated with the occurrence of varying degrees of steatosis. Factors associated with hepatic steatosis included above normal BMI, HbA1c ≥7% and serum triglycerides. The prevalence of hepatic fibrosis and cirrhosis, when examined under Fibroscan with CAP, among patients with fatty liver on ultrasound, was 55.5% (91/164). Factors associated with the development of liver fibrosis and cirrhosis were elevated ALT, glycosylated hemoglobin ≥7% and ≥5 years duration of diabetes. Findings in the liver stiffness measurement were independent of the findings of controlled attenuation parameter when using transient elastography with CAP in detecting NAFLD among patients with Type 2 diabetes. Given the above findings, factors associated with the severity of hepatic fibrosis, cirrhosis and steatosis included above normal BMI, disease duration of ≥5 years, poor glycemic control and elevated levels of ALT, and serum triglycerides.
Code:
Age:Sex:Weight:Height:BMI:Duration of Type 2 Diabetes Mellitus:
Whole Abdomen UTZ Result:
Fibroscan with CAP Result:
Lipid Panel Results: Total Cholesterol Triglycerides HDL-C LDL-C
Glycemic Control: FBS Glycoslyated Hemoglobin (HbA1c)
SGPT
Hepatitis profile:Use of hepatotoxic drugs:History of significant alcohol Intake:
CriteriaAny three of the five criteria below
ObesityWaist circumference:

40 inches male

35 inches female

HyperglycemiaFasting glucose ≥100 ng/dl or under treatment
DyslipidemiaTriglyceride level ≥150 mg/dl or under treatment
Dyslipidemia (second, separate criteria)HDL cholesterol: <40 mg/dl male, <50 mg/dl female or under treatment
Hypertension

130 mm Hg systolic or > 85 mm Hg diastolic or under treatment

The diagnosis of Type 2 Diabetes Mellitus can be made based on any of the following criteria: (Level 2, Grade B)

1. Plasma glucose ≥126 mg/dl (7.0 mmol/L) after an overnight fast.Fasting is defined as no calorie intake for at least 8 hours up to a maximum of 14 hours
2. Two-hour plasma glucose ≥200 mg/dl (11.1 mmol/L) during an Oral Glucose Tolerance Test (OGTT).The test should be performed as described by the World Health Organization, using a glucose load containing the equivalent of 75g anhydrous glucose dissolved in water after an overnight fast between 8 and 14 hours.
3. A random plasma glucose >/= 200 mg/dl (11.1 mmol/L) in a patient with classic symptoms of hyperglycemia (weight loss, polyuria, polyphagia, polydipsia) or with signs and symptoms of hyperglycemic crisis.

Interpretation of transient elastography results*

Liver DiseaseMinimal or No Fibrosis (F0-F1)Possible Intermediate Fibrosis (F2)Advance Fibrosis (F3)Cirrhosis (F4)
Hepatitis B
 Normal ALT≤6>6-9>9-12>12
 Elevated ALT≤7.5>7.5-12>12-13.4>13.4
HCV-HIV coinfection<9.2>9.2-11>11-12.3>12.3
Hepatitis C recurrence after liver transplantation≤6.3-7.9>7.9-8.5>8.5-14.5>14.5
Hepatitis C≤7>7-9.5>9.5-12.5>12.5
Chronic cholestatic disease<7.1>7.1-11.1>11.1-17.3>17.3
Alcoholic liver disease≤7.8>7.8-11>11-19.5>19.5
Nonalcoholic fatty liver disease (NAFLD)≤5.8>5.8-9.6>9.6-11.5>11.5

M Probe of Fibroscan Model 502-SN-FO1335; Accuserv Diagnostic Center, Quezon City

Controlled attenuation parameter interpretation score*

Steatosis GradingAmount of Fatty InfiltrationCAP interpretation (dB/m)
S0<10%Less than 221
S1 (mild)11-33%222-232
S2 (moderate)34-66%233-289
S3 (severe)>66%290 or more

M Probe of Fibroscan Model 502-SN-FO1335; Accuserv Diagnostic Center, Quezon City

  26 in total

Review 1.  Is weight reduction an effective therapy for nonalcoholic fatty liver? A systematic review.

Authors:  Rex T Wang; Ronald L Koretz; Hal F Yee
Journal:  Am J Med       Date:  2003-11       Impact factor: 4.965

Review 2.  The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases.

Authors:  Naga Chalasani; Zobair Younossi; Joel E Lavine; Michael Charlton; Kenneth Cusi; Mary Rinella; Stephen A Harrison; Elizabeth M Brunt; Arun J Sanyal
Journal:  Hepatology       Date:  2017-09-29       Impact factor: 17.425

Review 3.  The controlled attenuation parameter (CAP): a novel tool for the non-invasive evaluation of steatosis using Fibroscan.

Authors:  M Sasso; V Miette; L Sandrin; M Beaugrand
Journal:  Clin Res Hepatol Gastroenterol       Date:  2011-09-15       Impact factor: 2.947

4.  Disease progression of non-alcoholic fatty liver disease: a prospective study with paired liver biopsies at 3 years.

Authors:  Vincent Wai-Sun Wong; Grace Lai-Hung Wong; Paul Cheung-Lung Choi; Anthony Wing-Hung Chan; Mia Ka-Po Li; Hoi-Yun Chan; Angel Mei-Ling Chim; Jun Yu; Joseph Jao-Yiu Sung; Henry Lik-Yuen Chan
Journal:  Gut       Date:  2010-07       Impact factor: 23.059

5.  Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity.

Authors:  C A Matteoni; Z M Younossi; T Gramlich; N Boparai; Y C Liu; A J McCullough
Journal:  Gastroenterology       Date:  1999-06       Impact factor: 22.682

6.  Natural history of nonalcoholic steatohepatitis: a longitudinal study of repeat liver biopsies.

Authors:  Eduardo Fassio; Estela Alvarez; Nora Domínguez; Graciela Landeira; Cristina Longo
Journal:  Hepatology       Date:  2004-10       Impact factor: 17.425

7.  Prevalence of nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus.

Authors:  M Prashanth; H K Ganesh; M V Vima; M John; T Bandgar; Shashank R Joshi; S R Shah; P M Rathi; A S Joshi; Hemangini Thakkar; P S Menon; N S Shah
Journal:  J Assoc Physicians India       Date:  2009-03

8.  The natural history of nonalcoholic fatty liver: a follow-up study.

Authors:  M R Teli; O F James; A D Burt; M K Bennett; C P Day
Journal:  Hepatology       Date:  1995-12       Impact factor: 17.425

9.  Development of non-alcoholic fatty liver disease scoring system among adult medical check-up patients: a large cross-sectional and prospective validation study.

Authors:  Cosmas Rinaldi A Lesmana; Levina S Pakasi; Sri Inggriani; Maria L Aidawati; Laurentius A Lesmana
Journal:  Diabetes Metab Syndr Obes       Date:  2015-04-23       Impact factor: 3.168

10.  Neglected features of lifestyle: Their relevance in non-alcoholic fatty liver disease.

Authors:  Francesca M Trovato; Giuseppe Fabio Martines; Daniela Brischetto; Guglielmo Trovato; Daniela Catalano
Journal:  World J Hepatol       Date:  2016-11-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.