Literature DB >> 33030804

Association of the Non-Alcoholic Fatty Liver Disease Fibrosis Score with subclinical myocardial remodeling in patients with type 2 diabetes: A cross-sectional study in China.

Nengguang Fan1, Xiaoying Ding1, Qin Zhen1, Liping Gu1, Aifang Zhang1, Tingting Shen1, Yufan Wang1, Yongde Peng1.   

Abstract

AIMS/
INTRODUCTION: Non-alcoholic fatty liver disease, especially with liver fibrosis, is associated with cardiovascular diseases. The Non-Alcoholic Fatty Liver Disease Fibrosis Score (NFS), a non-invasive marker of advanced fibrosis, was found to be associated with cardiovascular diseases in different populations. The aim of the present study was to determine whether the NFS is associated with subclinical myocardial remodeling in type 2 diabetes patients.
MATERIALS AND METHODS: A cross-sectional study was carried out in type 2 diabetes patients. The NFS derived from available parameters was calculated, and the participants were divided according to the quartiles of the NFS and grades of the NFS (low, intermediate and high). Fibrosis-4 and Aspartate Aminotransferase to Platelet Ratio Index, another two liver fibrosis scores, were also calculated. Subclinical myocardial remodeling was examined by echocardiography, and its associations with NFS, Fibrosis-4 and Aspartate Aminotransferase to Platelet Ratio Index were analyzed.
RESULTS: A total of 1,878 type 2 diabetes patients were enrolled in the present study. The NFS was independently associated with sex, age, body mass index, low-density lipoprotein cholesterol and glycated hemoglobin in type 2 diabetes patients. Parameters of subclinical myocardial remodeling including left atrial dimension, interventricular septum thickness, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, left ventricular posterior wall thickness (LVPWT) and left ventricular mass index were all gradually increased with the increment of the NFS. Linear regression analysis further showed that the NFS was positively associated with left atrial dimension, interventricular septum thickness, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, LVPWT and left ventricular mass index after adjustment for the confounding factors. Similarly, Fibrosis-4 was associated with left atrial dimension, interventricular septum thickness, LVPWT and left ventricular mass index. In contrast, the Aspartate Aminotransferase to Platelet Ratio Index was only associated with LVPWT.
CONCLUSIONS: Non-invasive liver fibrosis scores, especially the NFS, are independently associated with subclinical myocardial remodeling in type 2 diabetes patients.
© 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Non-alcoholic fatty liver disease fibrosis score; Subclinical myocardial remodeling; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2021        PMID: 33030804      PMCID: PMC8169360          DOI: 10.1111/jdi.13430

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Introduction

Non‐alcoholic fatty liver disease (NAFLD), defined as excessive accumulation of triglycerides (TG) in hepatocytes with no evidence of alcohol abuse or other secondary causes, has become the most prevalent liver disease worldwide . It represents a spectrum of conditions from simple steatosis to non‐alcoholic steatohepatitis, liver fibrosis and cirrhosis, and has been one of the top leading causes for end‐stage liver disease and liver transplantation . In addition to liver‐related complication, a growing body of evidence has shown a close relationship between NAFLD and cardiovascular disease (CVD) , , . Patients with NAFLD have a higher prevalence of CVD and are more likely to die from CVD than from liver‐related death , , . Among the categories of NAFLD, liver fibrosis is considered as the main indicator of prognosis in NAFLD, and was found to be independently associated with CVD and mortality in different populations , , . However, the relationship between liver fibrosis and CVD in type 2 diabetes patients, who have a high prevalence of NAFLD, is limitedly investigated , . The NAFLD Fibrosis Score (NFS) is a non‐invasive marker widely used to predict advanced fibrosis in patients with NAFLD . Evidence has shown that the NFS is associated with coronary atherosclerosis, and predicts cardiovascular events and mortality in patients with NAFLD , . Further study showed that NFS was also associated with cardiovascular mortality in different populations, including patients with heart failure or coronary artery disease, and even in the general population, regardless of the presence of NAFLD , . However, the relationship between the NFS and CVD in type 2 diabetes patients was rarely studied , . In the present study, we carried out a cross‐sectional investigation to determine whether the NFS is associated with subclinical myocardial remodeling determined by echocardiography in type 2 diabetes patients.

Methods

Participants

All participants were recruited from the Department of Endocrinology and Metabolism in Shanghai General Hospital, Shanghai, China, between May 2017 and June 2019. The diagnosis of type 2 diabetes was defined according to the 1999 World Health Organization criteria. All participants were requested to complete a standardized questionnaire that included questions on the history of present and past illnesses, and medical therapies. Participants with an alcohol intake >140 g/week for men and 70 g/week for women, a history of viral hepatitis, autoimmune hepatitis or other forms of chronic liver disease, a history of heart failure, or renal diseases were excluded from the study. Finally, a total of 1,878 type 2 diabetes patients were included in the final analysis. This study was approved by the institutional review board of Shanghai General Hospital affiliated to Shanghai Jiao Tong University School of Medicine, and carried out in accordance with the principle of the Helsinki Declaration II. Written informed consent was obtained from all participants.

Anthropometric and biochemical measurements

All participants were assessed after overnight fasting for at least 8 h. Bodyweight, height, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured by an experienced physician. Body mass index (BMI) was calculated as bodyweight in kilograms divided by body height squared in meters. Blood samples were collected by one experienced nurse. Fasting serum TG, total cholesterol (TC), low‐density lipoprotein cholesterol (LDL‐C), high‐density lipoprotein cholesterol (HDL‐C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum creatinine (Scr) and serum uric acid were measured using an autoanalyzer (Beckman, Palo Alto, CA, USA). Blood glucose was measured using the glucose oxidase method. Hemoglobin A1c (HbA1c) was determined by high‐performance liquid chromatography.

Non‐invasive markers of liver fibrosis

The NFS was calculated: −1.675 + 0.037 × age (years) + 0.094 × BMI (kg/m2) + 1.13 × impaired fasting glucose/diabetes (yes = 1, no = 0) + 0.99 × AST/ALT ratio − 0.013 × platelet (×109/L) − 0.66 × albumin (g/dL). As all of the participants in the present study had diabetes, NFS = −1.675 + 0.037 × age (years) + 0.094 × BMI (kg/m2) + 1.13 + 0.99 × AST/ALT ratio − 0.013 × platelet (×109/L) − 0.66 × albumin (g/dL). The participants were first divided into four groups according to the quartiles of NFS (Q1: −7.23 to −1.853, Q2: −1.853 to −1.088, Q3: −1.088 to −0.354, Q4: −0.354 to 6.57). Furthermore, two widely used cut‐off points of NFS were selected to categorize the participants into three groups: those with low NFS (<−1.455), intermediate NFS (−1.455 ~ 0.676) and high NFS (>0.676) . In addition to the NFS, Fibrosis‐4 (FIB‐4) and AST to Platelet Ratio Index (APRI), another two non‐invasive liver fibrosis scores, were calculated. FIB‐4 = age (years) × AST (U/L) / [platelet (×109/L) × ALT1/2 (U/L)]. APRI = 100 × AST/upper limit of normal range/platelet (×109/L).

Echocardiography

Comprehensive echocardiography, including Doppler and tissue Doppler imaging, was carried out using an Artida cardiac ultrasound scanner (Toshiba Medical Systems, Otawara, Japan) by trained sonographers using a standardized protocol across all field centers. Experienced sonographers made measurements from digitized images using a standard software offline image analysis system (Digisonics, Houston, TX, USA). Indices including left atrial dimension (LAD), interventricular septum thickness (IST), left ventricular end‐diastolic diameter (LVEDD), left ventricular end‐systolic diameter (LVESD) and left ventricular posterior wall thickness (LVPWT) were assessed. LV mass index (LVMI) was calculated with the Devereux corrected formula . Increased parameters of cardiac dimension were defined as follows: LAD >39 mm (men) or 37 mm (women), IST >10 mm (men) or 9 mm (women), LVEDD >55 mm (men) or 50 mm (women), LVESD >39 mm (men) or 35 mm (women), LVPWT >10 mm (men) or 9 mm (women), LVMI >115 g/m2 (men) or 95 g/m2 (women) .

Statistical analysis

All statistical analyses were carried out using SPSS 13.0 (SPSS, Chicago, IL, USA). Continuous variables are presented as the mean ± standard deviation or median (interquartile range). Differences among groups were tested by one‐way anova for continuous variables and the χ2‐test for categorical variables. Pearson’s correlations were carried out to evaluate the associations between NFS and other metabolic risk factors, and to identify the independent factors related to NFS. A multivariate linear regression model was also used to evaluate the independent association of NFS with parameters of subclinical myocardial remodeling. P < 0.05 was considered statistically significant.

Results

Clinical characteristics of the study population

Among the 1,878 type 2 diabetes patients, 623 were women and 1,255 were men. The clinical and biochemical characteristics of the study population according to the quartiles of NFS are summarized in Table 1. Age, duration of diabetes, BMI, SBP and Scr were significantly increased, whereas DBP, TC, LDL‐C, ALT and platelet number were decreased in parallel with the increment of the NFS (all P for trend values <0.01). No significant difference was found in sex, fasting plasma glucose (FPG), HbA1c, TG, HDL‐C and serum uric acid among the four groups.
Table 1

Clinical and biochemical characteristics of the study population according to the quartiles of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score

VariablesQ1 (−7.23 to −1.853)Q2 (−1.853 to −1.088)Q3 (−1.088 to −0.354)Q4 (−0.354 to 6.57) P for trend
n 469470470469
Male/female315/154330/140299/171311/1580.196
Age (years)40.9 ± 10.147.5 ± 10.352.7 ± 9.359.8 ± 8.3<0.001
Duration (months)25 (5–72)37 (3–99)59 (13–120)72 (15–132)<0.001
BMI (kg/m2)25.5 ± 3.525.8 ± 3.625.6 ± 3.526.6 ± 4.0<0.001
SBP (mmHg)127.3 ± 16.0128.5 ± 16.5129.5 ± 17.9132.6 ± 17.3<0.001
DBP (mmHg)78.9 ± 10.078.4 ± 10.377.7 ± 10.876.2 ± 10.2<0.001
FPG (mmol/L)8.7 ± 6.88.4 ± 2.98.2 ± 2.98.0 ± 2.90.102
HbA1c (%)8.8 ± 2.28.9 ± 2.28.7 ± 2.18.7 ± 2.30.266
TG (mmol/L)1.9 (1.4–2.6)1.6 (1.1–2.5)1.5 (1.0–2.1)1.5 (1.1–2.2)0.082
TC (mmol/L)5.0 ± 1.34.9 ± 1.24.8 ± 1.34.6 ± 1.5<0.001
LDL‐C (mmol/L)3.0 ± 0.92.9 ± 0.92.9 ± 0.92.6 ± 0.9<0.001
HDL‐C (mmol/L)1.0 ± 0.31.0 ± 0.31.1 ± 0.31.0 ± 0.30.110
ALT (IU/L)29 (20–43)22 (17–33)22 (16–32)18 (13–25)<0.001
AST (IU/L)20 (16–27)19 (15–23)19 (16–24)19 (14–26)0.671
Scr (μmol/L)59.2 ± 19.660.3 ± 15.960.0 ± 15.766.8 ± 26.6<0.001
SUA (μmol/L)344 (283–415)320 (268–387)313 (274–368)327 (269–384)0.328
Platelet (109/L)277 ± 56227 ± 38197 ± 35166 ± 39<0.001

Continuous variables are presented as means ± standard deviation or median (interquartile range). The participants were divided into four groups (Q1, Q2, Q3 and Q4) according to the quartiles of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score. ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; SBP, systolic blood pressure; Scr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, triglycerides.

Clinical and biochemical characteristics of the study population according to the quartiles of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score Continuous variables are presented as means ± standard deviation or median (interquartile range). The participants were divided into four groups (Q1, Q2, Q3 and Q4) according to the quartiles of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score. ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; SBP, systolic blood pressure; Scr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, triglycerides. In addition, the participants were further divided into three groups according to the grades of NFS (low: <−1.455, intermediate: −1.455~0.676, high: >0.676). As shown in Table 2, compared with participants with low NFS, those with intermediate and high NFS were older and had longer duration of diabetes. BMI, SBP and Scr were significantly increased, whereas DBP, FPG, TG, TC, LDL‐C, ALT and platelet number were decreased with the elevation of NFS (all P for trend values <0.01). No significant difference was found in sex, HbA1c, HDL‐C and serum uric acid among the three groups.
Table 2

Clinical and biochemical characteristics of the study population according to low, intermediate and high Non‐Alcoholic Fatty Liver Disease Fibrosis Score

VariablesLow NFS (<−1.455)Intermediate NFS (−1.455 to 0.676)High NFS (>0.676) P for trend
n 6971,081100
Male/female216/481369/71238/620.223
Age (years)42.8 ± 10.753.8 ± 9.963.1 ± 8.2<0.001
Duration (months)34 (5–84)72 (13–132)120 (27–180)<0.001
BMI (kg/m2)25.6 ± 3.525.8 ± 3.628.0 ± 8.7<0.001
SBP (mmHg)127.6 ± 16.1130.5 ± 17.6131.8 ± 15.7<0.001
DBP (mmHg)78.4 ± 10.177.6 ± 10.474.8 ± 11.40.003
FPG (mmol/L)8.6 ± 5.98.2 ± 2.97.7 ± 2.90.011
HbA1c (%)8.9 ± 2.38.7 ± 2.18.9 ± 2.60.140
TG (mmol/L)1.8 (1.3–2.7)1.6 (1.1–2.3)1.4 (1.0–2.0)0.018
TC (mmol/L)5.0 ± 1.24.8 ± 1.34.4 ± 1.5<0.001
LDL‐C (mmol/L)3.0 ± 0.92.8 ± 0.92.4 ± 0.8<0.001
HDL‐C (mmol/L)1.0 ± 0.31.0 ± 0.31.0 ± 0.30.781
ALT (IU/L)27 (19–43)22 (15–32)17 (12–23)<0.001
AST (IU/L)21 (16–28)20 (16–26)20 (16–29)0.921
Scr (μmol/L)59.6 ± 19.662.3 ± 15.967.9 ± 26.7<0.001
SUA (μmol/L)330 (276–400)317 (268–379)327 (269–395)0.793
Platelet (109/L)263 ± 55194 ± 40139 ± 44<0.001

Continuous variables were presented as means ± standard deviation or median (interquartile range). The participants were divided into three groups according to the grades of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score (NFS; low, intermediate and high NFS).

ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; SBP, systolic blood pressure; Scr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, triglycerides.

Clinical and biochemical characteristics of the study population according to low, intermediate and high Non‐Alcoholic Fatty Liver Disease Fibrosis Score Continuous variables were presented as means ± standard deviation or median (interquartile range). The participants were divided into three groups according to the grades of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score (NFS; low, intermediate and high NFS). ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; SBP, systolic blood pressure; Scr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, triglycerides.

Associations between the NFS and metabolic risk factors

Next, the associations between the NFS and other metabolic risk factors were further investigated. Analysis of Pearson’s correlation showed that the NFS was positively associated with age, duration of diabetes, BMI, SBP and Scr, whereas is was negatively associated with DBP, TG, TC, LDL‐C, ALT and FPG (Table 3). Multiple stepwise linear regression analysis further showed that sex, age, BMI, LDL‐C, ALT, AST and HbA1c were independent determiners of NFS in type 2 diabetes patients (Table 3).
Table 3

Associations between the Non‐Alcoholic Fatty Liver Disease Fibrosis Score and other metabolic risk factors

UnivariateMultivariate
r P β P
Male−0.0010.9590.249<0.001
Age (years)0.596<0.0010.064<0.001
Duration (months)0.297<0.001
BMI (kg/m2)0.152<0.0010.09<0.001
SBP (mmHg)0.115<0.001
DBP (mmHg)−0.08<0.001
TG (mmol/L)−0.0570.014
TC (mmol/L)−0.113<0.001
LDL‐C (mmol/L)−0.15<0.001−0.122<0.001
HDL‐C (mmol/L)0.210.37
FPG (mmol/L)−0.0550.018
HbA1c (%)−0.0240.2950.036<0.001
ALT (IU/L)−0.153<0.001−0.019<0.001
AST (IU/L)−0.010.6520.027<0.001
Scr (μmol/L)0.131<0.001
SUA (μmol/L)0.0120.609

ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; SBP, systolic blood pressure; Scr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, triglycerides.

Associations between the Non‐Alcoholic Fatty Liver Disease Fibrosis Score and other metabolic risk factors ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; SBP, systolic blood pressure; Scr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, triglycerides.

Association of the NFS with subclinical myocardial remodeling

Subclinical myocardial remodeling of the participants was evaluated by echocardiography. Parameters including LAD, IST, LVEDD, LVESD, LVPWT and LVMI were compared among the four groups according to the quartiles of NFS. As shown in Table 4, LAD, IST, LVEDD, LVESD, LVPWT and LVMI were all gradually increased with the increment of NFS (all P for trend <0.001).
Table 4

Comparison of parameters of myocardial remodeling among groups according to quartiles of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score

Q1Q2Q3Q4 P for trend
LAD (mm)34.3 ± 3.635.1 ± 3.135.3 ± 3.736.7 ± 4.0<0.001
IST (mm)8.2 ± 1.08.3 ± 0.98.5 ± 1.08.7 ± 1.0<0.001
LVEDD (mm)47.7 ± 4.348.3 ± 4.448.5 ± 4.049.2 ± 4.5<0.001
LVESD (mm)31.0 ± 4.031.4 ± 3.631.7 ± 3.932.5 ± 4.9<0.001
LVPWT (mm)8.1 ± 0.88.3 ± 1.68.4 ± 0.88.6 ± 0.9<0.001
LVMI (g/m2)73.1 ± 14.575.5 ± 17.279.0 ± 15.983.8 ± 17.7<0.001

IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness.

Comparison of parameters of myocardial remodeling among groups according to quartiles of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness. We also compared the aforementioned parameters among the three groups categorized by the grades of the NFS (low, intermediate and high). As shown in Table 5, LAD, IST, LVEDD, LVESD, LVPWT and LVMI were all increased with the increment of NFS (P for trend <0.05). Furthermore, the proportions of increased LAD, IST, LVEDD, LVESD, LVPWT and LVMI were also increased in the group with high NFS.
Table 5

Comparison of parameters of myocardial remodeling among groups according to grades of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score

Low NFS (<−1.455)Intermediate NFS (−1.455 ~ 0.676)High NFS (>0.676) P for trend
LAD (mm)34.5 ± 3.535.7 ± 3.737.4 ± 4.3<0.001
Increased LAD (%)3.3%10.6%32%<0.001
IST (mm)8.2 ± 1.08.5 ± 1.08.8 ± 1.1<0.001
Increased IST (%)1.7%4.6%8.0%<0.001
LVEDD (mm)47.8 ± 4.448.7 ± 4.249.4 ± 4.9<0.001
Increased LVEDD (%)2.1%4.3%8.0%0.009
LVESD (mm)31.1 ± 3.931.9 ± 4.233.1 ± 5.3<0.001
Increased LVESD (%)2.6%2.6%6.7%0.251
LVPWT (mm)8.1 ± 0.88.4 ± 1.28.6 ± 1.0<0.001
Increased LVPWT (%)1%2.7%4%0.014
LVMI (g/m2)73.5 ± 14.280.1 ± 17.684.4 ± 19.5<0.001
Increased LVMI (%)2.6%7.2%12%<0.001

IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness; NFS, Non‐Alcoholic Fatty Liver Disease Fibrosis Score.

Comparison of parameters of myocardial remodeling among groups according to grades of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness; NFS, Non‐Alcoholic Fatty Liver Disease Fibrosis Score. Linear regression analysis was further carried out to determine the independent association between NFS and echocardiographic parameters. As shown in Table 6, NFS was positively associated with LAD, IST, LVEDD, LVESD, LVPWT and LVMI in univariate analyses (model 1). After adjustment for age, sex, BMI, SBP and DBP (model 2), the NFS remained significantly correlated with the aforementioned echocardiographic parameters. Further adjustment for FPG, HbA1c, TG, TC, HDL‐C and LDL‐C (model 3) also did not significantly change the associations between NFS and LAD, IST, LVEDD, LVESD, LVPWT and LVMI.
Table 6

Association of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score with subclinical myocardial remodeling

Model 1Model 2Model 3
β (95% CI) P β (95% CI) P β (95% CI) P
LAD0.83 (0.67, 0.98)<0.0010.23 (0.02, 0.44)0.030.19 (−0.03, 0.40)0.08
IST0.17 (0.13, 0.21)<0.0010.10 (0.04, 0.16)<0.0010.07 (0.03, 0.15)0.03
LVEDD0.55 (0.36, 0.74)<0.0010.45 (0.19, 0.71)<0.0010.40 (0.09, 0.63)<0.01
LVESD0.52 (0.33, 0.70)<0.0010.47 (0.22, 0.73)<0.0010.39 (0.14, 0.65)<0.01
LVPWT0.16 (0.12, 0.21)<0.0010.12 (0.06, 0.18)<0.0010.09 (0.02, 0.15)0.01
LVMI3.41 (2.70, 4.12)<0.0012.14 (1.23, 3.06)<0.0011.97 (1.03, 2.91)<0.001

Model 1 is unadjusted. Model 2 is adjusted for age, sex, body mass index, systolic blood pressure and diastolic blood pressure. Model 3 is further adjusted for fasting plasma glucose, glycated hemoglobin, triglycerides, total cholesterol, low‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol. CI, confidence interval; IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness.

Association of the Non‐Alcoholic Fatty Liver Disease Fibrosis Score with subclinical myocardial remodeling Model 1 is unadjusted. Model 2 is adjusted for age, sex, body mass index, systolic blood pressure and diastolic blood pressure. Model 3 is further adjusted for fasting plasma glucose, glycated hemoglobin, triglycerides, total cholesterol, low‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol. CI, confidence interval; IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness. In addition, the associations of FIB‐4 and APRI with myocardial remodeling were also assessed. As shown in Table 7, FIB‐4 was positively associated with LAD, IST, LVPWT and LVMI. In contrast, APRI was associated with LVPWT only.
Table 7

Association of Fibrosis‐4 and Aspartate Aminotransferase to Platelet Ratio Index with subclinical myocardial remodeling

FIB4APRI
β (95% CI) P β (95% CI) P
LAD0.73 (0.46, 0.99)<0.001−0.16 (−0.79, 0.48)0.63
IST0.14 (0.06, 0.21)<0.0010.11 (−0.07, 0.29)0.237
LVEDD0.30 (−0.01, 0.62)0.059−0.369 (−1.15, 0.41)0.350
LVESD0.26 (−0.06, 0.59)0.110−0.12 (−0.93, 0.68)0.766
LVPWT0.14 (0.06, 0.22)0.0010.21 (0.01, 0.41)0.039
LVMI3.34 (2.08, 4.60)<0.0010.95 (−2.14, 4.03)0.547

CI, confidence interval; IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness.

Association of Fibrosis‐4 and Aspartate Aminotransferase to Platelet Ratio Index with subclinical myocardial remodeling CI, confidence interval; IST, interventricular septum thickness; LAD, left atrial dimension; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; LVMI, left ventricular mass index; LVPWT, left ventricular posterior wall thickness.

Discussion

NAFLD is closely associated with CVD, while liver fibrosis is the main predictor of CVD and mortality. In the present study, we investigated the association of NFS, a non‐invasive marker of liver advanced fibrosis in NAFLD, with subclinical myocardial remodeling in type 2 diabetes patients. It was found that NFS was independently associated with parameters of subclinical myocardial remodeling in patients with diabetes. The NFS was first used as a marker of advanced fibrosis in patients with NAFLD . However, it was then found to be associated with CVD risk factors in different populations, regardless of the presence of NAFLD or not , . Consistently, we also observed positive associations of NFS with age, BMI, LDL‐C and HbA1c. Furthermore, previous studies showed that NFS was related to CVD and left ventricular diastolic dysfunction in type 2 diabetes patients , . In line with the previous studies, we observed an association between the NFS and subclinical cardiovascular remodeling among type 2 diabetes patients in the present study. Altogether, NFS is a promising predictor for myocardial remodeling and CVD in type 2 diabetes patients. In addition, we also investigated the association of other non‐invasive liver fibrosis markers with cardiovascular remodeling. Similarly, FIB‐4 was also significantly associated with parameters of cardiac remodeling. The present results suggest a close relationship of liver fibrosis and cardiac remodeling in type 2 diabetes patients. The potential mechanism linking NFS to myocardial remodeling is not fully established. One reason is that the NFS is closely associated with other CVD risk factors, which contribute to the remodeling of the heart. However, we found that the NFS remained significantly associated with parameters of subclinical myocardial remodeling after adjustment of these risk factors, excluding the possibility that they mediate the association between NFS and myocardial remodeling. Thus, we could assume that there might be other mechanisms involved in the association of NFS with myocardial remodeling. Recently, emerging evidence has shown that the liver talks to the heart by secreting a series of proteins, which are called hepatokines . Hepatokines, such as FGF21, can act on cardiac myocytes , . Abnormal secretion of hepatokines might contribute to the remodeling of the heart in NAFLD. Furthermore, inflammatory factors secreted by liver might also induce cardiovascular remodeling. However, the underlying mechanisms responsible for the remodeling of the heart in NAFLD remain to be determined in future studies. There were several limitations that require consideration in the present study. First, our study was cross‐sectional, which did not allow is to make a cause–effect inference. Second, diagnosis of NAFLD was not included in the present study, precluding further analysis by stratifying the presence of NAFLD. However, NFS was previously shown to be associated with CVD and mortality in different populations, regardless of the presence of NAFLD or not , . Third, a liver biopsy was not taken in the evaluation of fibrosis. Nevertheless, the NFS is now widely used as a marker of liver advanced fibrosis . In conclusion, the present study showed an association between NFS and subclinical myocardial remodeling in type 2 diabetes patients, and it might be helpful for predicting or early detection of myocardial remodeling in diabetes patients.

Disclosure

The authors declare no conflict of interest.
  23 in total

1.  Fibroblast growth factor 21 protects the heart from angiotensin II-induced cardiac hypertrophy and dysfunction via SIRT1.

Authors:  Santie Li; Zhongxin Zhu; Mei Xue; Xinchu Yi; Jiaojiao Liang; Chao Niu; Gen Chen; Yingjie Shen; Hongping Zhang; Jiayong Zheng; Congcong Zhao; Yangzhi Liang; Weitao Cong; Yang Wang; Litai Jin
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2019-01-21       Impact factor: 5.187

2.  Diagnostic Accuracy of Noninvasive Fibrosis Models to Detect Change in Fibrosis Stage.

Authors:  Mohammad Shadab Siddiqui; Goro Yamada; Raj Vuppalanchi; Mark Van Natta; Rohit Loomba; Cynthia Guy; Danielle Brandman; James Tonascia; Naga Chalasani; Brent Neuschwander-Tetri; Arun J Sanyal
Journal:  Clin Gastroenterol Hepatol       Date:  2019-01-04       Impact factor: 11.382

3.  The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis.

Authors:  Zobair M Younossi; Pegah Golabi; Leyla de Avila; James Minhui Paik; Manirath Srishord; Natsu Fukui; Ying Qiu; Leah Burns; Arian Afendy; Fatema Nader
Journal:  J Hepatol       Date:  2019-07-04       Impact factor: 25.083

4.  Association between liver fibrosis scores and the risk of mortality among patients with coronary artery disease.

Authors:  Qian Chen; Qing Li; Dan Li; Xuechen Chen; Zhaomin Liu; Gang Hu; Jingfeng Wang; Wenhua Ling
Journal:  Atherosclerosis       Date:  2020-03-14       Impact factor: 5.162

Review 5.  Nonalcoholic Steatohepatitis: A Review.

Authors:  Adam C Sheka; Oyedele Adeyi; Julie Thompson; Bilal Hameed; Peter A Crawford; Sayeed Ikramuddin
Journal:  JAMA       Date:  2020-03-24       Impact factor: 56.272

6.  Association between noninvasive fibrosis markers and mortality among adults with nonalcoholic fatty liver disease in the United States.

Authors:  Donghee Kim; W Ray Kim; Hwa Jung Kim; Terry M Therneau
Journal:  Hepatology       Date:  2013-01-25       Impact factor: 17.425

Review 7.  Comparison of FIB-4 index, NAFLD fibrosis score and BARD score for prediction of advanced fibrosis in adult patients with non-alcoholic fatty liver disease: A meta-analysis study.

Authors:  Wenjing Sun; Hongli Cui; Ning Li; Yanling Wei; Shujie Lai; Yang Yang; Xinru Yin; Dong-Feng Chen
Journal:  Hepatol Res       Date:  2016-02-16       Impact factor: 4.288

8.  Progression of liver fibrosis is associated with non-liver-related mortality in patients with nonalcoholic fatty liver disease.

Authors:  Toshifumi Tada; Takashi Kumada; Hidenori Toyoda; Kazuyuki Mizuno; Yasuhiro Sone; Tomoyuki Akita; Junko Tanaka
Journal:  Hepatol Commun       Date:  2017-09-26

9.  Additive relationship between serum fibroblast growth factor 21 level and coronary artery disease.

Authors:  Yun Shen; Xiaojing Ma; Jian Zhou; Xiaoping Pan; Yaping Hao; Mi Zhou; Zhigang Lu; Meifang Gao; Yuqian Bao; Weiping Jia
Journal:  Cardiovasc Diabetol       Date:  2013-08-28       Impact factor: 9.951

10.  The Association between Non-Invasive Hepatic Fibrosis Markers and Cardiometabolic Risk Factors in the Framingham Heart Study.

Authors:  Michelle T Long; Alison Pedley; Joseph M Massaro; Udo Hoffmann; Caroline S Fox
Journal:  PLoS One       Date:  2016-06-24       Impact factor: 3.240

View more
  2 in total

1.  Association Between Non-invasive Diagnostic Methods of Liver Fibrosis and Type 2 Diabetes in Pediatric Patients With Non-alcoholic Fatty Liver Disease.

Authors:  Aram Yang; Nayoung Jung; Sinae Kim; Ji-Eun Lee
Journal:  Front Pediatr       Date:  2022-02-10       Impact factor: 3.418

Review 2.  Diabetic Kidney Disease, Cardiovascular Disease and Non-Alcoholic Fatty Liver Disease: A New Triumvirate?

Authors:  Carolina M Perdomo; Nuria Garcia-Fernandez; Javier Escalada
Journal:  J Clin Med       Date:  2021-05-10       Impact factor: 4.241

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.