Comparison of Clinical Characteristics Between Obese and Non-Obese Patients with Nonalcoholic Fatty Liver Disease (NAFLD)

Li, Yi-Fang; Chen, Yanzhen; Tian, Xing; Zhang, Shanshan; Ji, Jiao

doi:10.2147/dmso.s304634

Cited by 22 publications

(20 citation statements)

References 26 publications

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“…Under conditions of overnutrition and IR, multiple factors contributing to the elevated TG concentrations disrupt the balance and ultimately lead to liver steatosis (22). Li et al found that the NAFLD group has a higher average TG level than the non-NAFLD; thus, TG is related to NAFLD in normal-weight individuals (21). A cross-sectional study conducted by Fan et al confirmed the independent association between TG/HDL-C and the risk of NAFLD in apparently healthy individuals (23).…”

Section: Discussionmentioning

confidence: 96%

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Simple surrogate equations to predict controlled attenuation parameter values for screening non-alcoholic fatty liver disease in a Chinese population

Liu

Han

et al. 2022

Front. Med.

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ObjectiveNon-alcoholic fatty liver disease (NAFLD) is one of the leading causes of chronic liver disease. The controlled attenuation parameter (CAP) obtained by FibroScan reflects the level of liver steatosis in patients with obesity. Our study aimed to construct a simple equation to predict the CAP, to facilitate the screening and monitoring of patients at high risk for NAFLD.MethodsA total of 272 subjects were randomly divided into derivation and validation cohorts at a ratio of 1:2. The derivation set was used for constructing a multiple linear regression model; the validation set was used to verify the validity of the model.ResultsSeveral variables strongly correlated with the CAP were used to construct the following equation for predicting CAP values:CAP1 = 2.4 × BMI + 10.5 × TG+ 3.6 × NC + 10.3 × CP +31.0, where BMI is body mass index, TG is triglyceride, NC is neck circumference and CP is C-peptide. The CAP1 model had an R2 of 0.764 and adjusted R2 of 0.753. It was then simplified to derive CAP2 included only simple anthropometric parameters: CAP2 = 3.5 × BMI + 4.2 × NC + 20.3 (R2 = 0.696, adjusted R2 = 0.689). The data were well fitted by both models. In the verification group, the predicted (CAP1 and CAP2) values were compared to the actual CAP values. For the CAP1 equation, R2 = 0.653, adjusted R2 = 0.651. For the CAP2 equation, R2 = 0.625, adjusted R2 = 0.623. The intra-class correlation coefficient (ICC) values were 0.781 for CAP1 and 0.716 for CAP2 (p < 0.001). The actual CAP and the predicted CAP also showed good agreement in Bland-Altman plot.ConclusionThe equations for predicting the CAP value comprise easily accessible variables, and showed good stability and predictive power. Thus, they can be used as simple surrogate tools for early screening and follow-up of NAFLD in the Chinese population.

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Section: Discussionmentioning

confidence: 96%

“…The metabolic dysfunction of the liver in NAFLD is closely related to alteration in lipoprotein metabolism and composition (20). Hepatocytes normally contain about 4-7% total lipids, of which about half is TG (21). The accumulation of TG in liver cells is an essential step in the development of NAFLD.…”

Section: Discussionmentioning

confidence: 99%

Simple surrogate equations to predict controlled attenuation parameter values for screening non-alcoholic fatty liver disease in a Chinese population

Liu

Han

et al. 2022

Front. Med.

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“…Interestingly, approximately 40% of the global NAFLD population was classified as non-obese NAFLD ( 14 ). But since most of the NAFLD with non-obese patients were asymptomatic and prone to the possibility of underdiagnosis, their prevalence may be higher than actual ( 15 ). In addition, compared to the obese population with NAFLD, the non-obese population with NAFLD had a higher risk of prostate hyperplasia ( 16 ), diabetes mellitus ( 17 , 18 ), and also had a similar risk of CVD and malignancy ( 19 ).…”

Section: Discussionmentioning

confidence: 99%

Association between the atherogenic index of plasma and new-onset non-alcoholic fatty liver disease in non-obese participants

Cheng

et al. 2022

Front. Endocrinol.

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IntroductionNon-alcoholic fatty liver disease (NAFLD) in the non-obese population accounts for a large proportion of NAFLD. Atherogenic index of plasma (AIP, defined as the logarithm of the triglyceride/high-density lipoprotein cholesterol ratio.) can provide a stronger reflection of dyslipidemia and studies on the longitudinal association between AIP and NAFLD were limited in non-obese participants, especially in different BMI groups.MethodsWe performed a post-hoc analysis of data obtained from the Dryad data repository (Dryad is a nonprofit open database of medicine.) and explored the predictive value of AIP on the risk of NAFLD among non-obese participants.ResultsThis study included 16173 participants with AIP, of which 2322(14.4%) non-obese participants developed into individuals with NAFLD with the 5-year follow-up examination. The difference between AIP quartiles in the cumulative estimation of new-onset NAFLD was significant, and with increased AIP, the cumulative new-onset NAFLD gradually increased. Participants in higher AIP quartiles had a significantly increased risk of NAFLD. In the fully adjusted model 3, hazard ratios of the new-onset NAFLD for subjects in Q2, Q3, and Q4 of AIP were 2.00 (1.59, 2.53), 2.61 (2.09, 3.72), and 4.49 (3.62, 5.57) respectively. Meanwhile, the trend test for the association between AIP quartiles and the new-onset NAFLD presented that AIP quartile was positively and strongly associated with the new-onset NAFLD (adjusted hazard ratio (95%CI) in Model 3: 1.59 (1.51, 1.67), P<0.001). We found that AIP was also positively and strongly associated with new-onset NAFLD in different sex groups and different age groups in female patients. Moreover, the predictive ability of AIP was no significant difference in different sex groups and different age groups in female patients. In the subgroup analysis, we found that in the low BMI population, the predictive effect of AIP for new-onset NAFLD was expanded by 2-3 times for each quality increase of AIP.ConclusionThis study found that AIP was a strong independent risk factor for new-onset NAFLD among non-obese individuals especially in the low BMI participants, and screening for AIP in this population can be used to prevent future NAFLD.

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“…Interestingly, approximately 40% of the global NAFLD population was classi ed as nonobese NAFLD (14). But since most of the NAFLD with non-obese patients were asymptomatic and prone to the possibility of underdiagnosis, their prevalence may be higher than actual (15). In addition, compared to the obese population with NAFLD, the non-obese population with NAFLD had a higher risk of prostate hyperplasia(16), diabetes mellitus (17), and also had a similar risk of CVD and malignancy(18).…”

Section: Discussionmentioning

confidence: 99%

Atherogenic index of plasma is a novel and strong predictor of non-alcoholic fatty liver disease in non-obese participants: a retrospective cohort research of China

2022

Preprint

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Background: Non-alcoholic fatty liver disease (NAFLD) in the non-obese population accounts for a large proportion of NAFLD. The association between the atherogenic index of plasma (AIP) with the risk of NAFLD was limited, especially among non-obese participants.Methods: We performed a post-hoc analysis of data obtained from the Dryad data repository and explored the predictive value of AIP on the risk of NAFLD among non-obese participants. Results: 16173 participants with AIP were included in this study, and 2322(14.4%) non-obese participants developed into individuals with NAFLD with the 5-year follow-up examination. The difference between AIP quartiles in the cumulative estimation of new-onset NAFLD was significant. And with increased AIP, the cumulative primary outcomes gradually increased. Participants in higher AIP quartiles had a significantly increased risk of NAFLD. In the fully adjusted Model 3, HRs of the primary outcome for subjects in Q2, Q3, and Q4 of AIP were 1.56 (1.29, 1.89), 2.12 (1.78, 2.53), and 2.78 (2.35, 3.92) respectively. Meanwhile, the trend test for the association between AIP quartiles and the primary outcome presented that AIP quartile was positively and strongly associated with the primary outcome (adjusted HR (95%CI) in Model 3: 1.37 (1.31, 1.44), P<0.001). In the subgroup analysis, we revealed a significant interaction between systolic blood pressure categories (<120mmHg vs. >=120mmHg; P for interaction =0.011) and NAFLD.Conclusion: This study found AIP was a strong independent risk factor for new-onset NAFLD among non-obese individuals and screening for AIP in this population can be used to prevent future NAFLD.

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Comparison of Clinical Characteristics Between Obese and Non-Obese Patients with Nonalcoholic Fatty Liver Disease (NAFLD)

Cited by 22 publications

References 26 publications

Simple surrogate equations to predict controlled attenuation parameter values for screening non-alcoholic fatty liver disease in a Chinese population

Simple surrogate equations to predict controlled attenuation parameter values for screening non-alcoholic fatty liver disease in a Chinese population

Association between the atherogenic index of plasma and new-onset non-alcoholic fatty liver disease in non-obese participants

Atherogenic index of plasma is a novel and strong predictor of non-alcoholic fatty liver disease in non-obese participants: a retrospective cohort research of China

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