Prevalence and Risk Factors of Metabolic-Associated Fatty Liver Disease among 73,566 Individuals in Beijing, China

Yuan, Qianli; Huai, Wang; Gao, Pei; Chen, Weixin; Lv, Min; Bai, Shuang; Wu, Jiang

doi:10.3390/ijerph19042096

Cited by 32 publications

(33 citation statements)

References 22 publications

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“…Moreover, the peak MAFLD prevalence occurred earlier in males (approximately 51 years of age) than in females (approximately 66 years of age). This finding has also been reported ( 49 – 51 ). Potential reasons for the high prevalence in middle-aged males include sociocultural issues, life stress, and alcohol consumption in middle age.…”

Section: Discussionsupporting

confidence: 89%

The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China

et al. 2022

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Background and aimsThe epidemiological characteristics of MAFLD and its relationship with atrial fibrillation (AF) are limited in China. Therefore, we explored the epidemiological characteristics of MAFLD from adults along with the association of MAFLD and 12-ECG diagnosed AF in a nationwide population from health check-up centers.MethodsThis observational study used cross-sectional and longitudinal studies with 2,083,984 subjects from 2009 to 2017. Age-, sex-, and regional-standardized prevalence of MAFLD was estimated. Latent class analysis (LCA) was used to identify subclusters of MAFLD. Multivariable logistic regression and mixed-effects Cox regression models were used to analyze the relationship between MAFLD and AF.ResultsThe prevalence of MAFLD increased from 22.75% to 35.58% during the study period, with higher rates in males and populations with high BMI or resided in northern regions. The MAFLD population was clustered into three classes with different metabolic features by LCA. Notably, a high proportion of MAFLD patients in all clusters had overweight and prediabetes or diabetes. The MAFLD was significantly associated with a higher risk of AF in the cross-sectional study and in the longitudinal study. In addition, the coexistence of prediabetes or diabetes had the largest impact on subsequent AF.ConclusionOur findings suggested a high prevalence of MAFLD and a high prevalence of other metabolic diseases in the MAFLD population, particularly overweight and glucose dysregulation. Moreover, MAFLD was associated with a significantly higher risk for existing and subsequent subclinical AF in the Chinese population.

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Section: Discussionsupporting

confidence: 89%

The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China

et al. 2022

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“…Indeed, several non-invasive fibrosis scores and novel biomarkers have been investigated over the years for their performance to stratify liver fibrosis risk specifically among individuals with T2D-MAFLD (26-28). ( 29) On the other hand, as shown by us and others, non-diabetic overweight/obese MAFLD constitutes the largest MAFLD population within the community (9)(10)(11). Although the studies were not directly comparable, our 73% prevalence of non-diabetic overweight/obese MAFLD was overall similar to the 77.5% reported in a community-based survey in Beijing, and lower than the 95.2% in a Korean study (9,10).…”

Section: Or (95% Ci) P-valuesupporting

confidence: 57%

“…Since the proposal of the new diagnostic entity of MAFLD, only a few studies have directly compared the three different MAFLD subgroups (9)(10)(11). The Rotterdam Study showed that the prevalence of hepatic fibrosis, defined as LS ≥8.0 kPa, TABLE 4 Multivariable stepwise logistic regression showing the associations of clinical variables with LS ≥8.0 kPa in participants with overweight/ obese MAFLD (N=312).…”

Section: Discussionmentioning

confidence: 99%

“…Early identification of individuals with clinically significant liver fibrosis, who are at risk of compensated advanced chronic liver disease (cACLD) (6,7), is important to facilitate more targeted follow-up and surveillance, especially among overweight and obese individuals in whom the prevalence of MAFLD is over 50% (8). Several recent studies have suggested that the prevalence and risk of liver fibrosis differ across the three MAFLD subtypes (9)(10)(11). However, while individuals with overweight/obese MAFLD constitute the largest subgroup within the MAFLD population, no report thus far has evaluated the optimal strategy for stratifying liver fibrosis risk in these individuals.…”

Section: Introductionmentioning

confidence: 99%

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Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease

Lee

Lui

et al. 2023

Front. Endocrinol.

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BackgroundNon-diabetic overweight/obese metabolic dysfunction-associated fatty liver disease (MAFLD) represents the largest subgroup with heterogeneous liver fibrosis risk. Metabolic dysfunction promotes liver fibrosis. Here, we investigated whether incorporating additional metabolic risk factors into clinical evaluation improved liver fibrosis risk stratification among individuals with non-diabetic overweight/obese MAFLD.Materials and methodsComprehensive metabolic evaluation including 75-gram oral glucose tolerance test was performed in over 1000 participants from the New Hong Kong Cardiovascular Risk Factor Prevalence Study (HK-NCRISPS), a contemporary population-based study of HK Chinese. Hepatic steatosis and fibrosis were evaluated based on controlled attenuation parameter and liver stiffness (LS) measured using vibration-controlled transient elastography, respectively. Clinically significant liver fibrosis was defined as LS ≥8.0 kPa. Our findings were validated in an independent pooled cohort comprising individuals with obesity and/or polycystic ovarian syndrome.ResultsOf the 1020 recruited community-dwelling individuals, 312 (30.6%) had non-diabetic overweight/obese MAFLD. Among them, 6.4% had LS ≥8.0 kPa. In multivariable stepwise logistic regression analysis, abnormal serum aspartate aminotransferase (AST) (OR 7.95, p<0.001) and homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.5 (OR 5.01, p=0.008) were independently associated with LS ≥8.0 kPa, in a model also consisting of other metabolic risk factors including central adiposity, hypertension, dyslipidaemia and prediabetes. A sequential screening algorithm using abnormal AST, followed by elevated HOMA-IR, was developed to identify individuals with LS ≥8.0 kPa, and externally validated with satisfactory sensitivity (>80%) and negative predictive value (>90%).ConclusionA sequential algorithm incorporating AST and HOMA-IR levels improves fibrosis risk stratification among non-diabetic overweight/obese MAFLD individuals.

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“…China has a large and rapidly growing elderly population. Studies have shown that diabetes may also lead to the occurrence of other diseases, such as metabolic-associated fatty liver disease [ 4 , 5 , 6 , 7 , 8 ]. Diabetes has become another serious health hazard, following cardiovascular and cerebrovascular diseases and tumors.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China

Wang

Dong

Yang

2022

IJERPH

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Diabetes, which is a chronic disease with a high prevalence in people over 45 years old in China, is a public health issue of global concern. In order to explore the spatiotemporal patterns of diabetes among people over 45 years old in China, to find out diabetes risk factors, and to assess its risk, we used spatial autocorrelation, spatiotemporal cluster analysis, binary logistic regression, and a random forest model in this study. The results of the spatial autocorrelation analysis and the spatiotemporal clustering analysis showed that diabetes patients are mainly clustered near the Beijing–Tianjin–Hebei region, and that the prevalence of diabetes clusters is waning. Age, hypertension, dyslipidemia, and smoking history were all diabetes risk factors (p < 0.05), but the spatial heterogeneity of these factors was weak. Compared with the binary logistic regression model, the random forest model showed better accuracy in assessing diabetes risk. According to the assessment risk map generated by the random forest model, the northeast region and the Beijing–Tianjin–Hebei region are high-risk areas for diabetes.

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Prevalence and Risk Factors of Metabolic-Associated Fatty Liver Disease among 73,566 Individuals in Beijing, China

Cited by 32 publications

References 22 publications

The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China

The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China

Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease

Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China

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