Association of serum lactate dehydrogenase levels with non-alcoholic fatty liver disease and advanced hepatic fibrosis in the United States: a cross-sectional study using NHANES data from 2007 to 2018
The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF. In this cross-sectional study, after...
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Published in | BMC gastroenterology Vol. 25; no. 1; pp. 467 - 15 |
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Abstract | The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF.
In this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM).
Following data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378-6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI (β
= 0.965, 95% CI: 0.014-1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose-response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups.
This study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. |
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AbstractList | The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF. In this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM). Following data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378-6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI ([beta].sub.Q2 vs. Q1 = 0.965, 95% CI: 0.014-1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose-response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups. This study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. Background The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF. Methods In this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM). Results Following data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378-6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI ([beta].sub.Q2 vs. Q1 = 0.965, 95% CI: 0.014-1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose-response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups. Conclusions This study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. Keywords: NAFLD, Lactate dehydrogenase, NHANES, Biomarker, Cross-sectional analysis BackgroundThe associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF.MethodsIn this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM).ResultsFollowing data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378–6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI (βQ2 vs. Q1 = 0.965, 95% CI: 0.014–1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose–response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups.ConclusionsThis study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF. In this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM). Following data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378-6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI (β = 0.965, 95% CI: 0.014-1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose-response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups. This study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. Abstract Background The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF. Methods In this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM). Results Following data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378–6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI (βQ2 vs. Q1 = 0.965, 95% CI: 0.014–1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose–response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups. Conclusions This study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF.BACKGROUNDThe associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims to investigate the association between log-transformed LDH levels and the prevalence of NAFLD and AHF.In this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM).METHODSIn this cross-sectional study, after applying specific criteria for inclusion and exclusion, a total of 7,316 individuals were chosen from the 59,842 participants for the final analysis. LDH levels were measured using an enzymatic rate method. A fatty liver index (FLI) greater than or equal to 60 and an NAFLD fibrosis score (NFS) higher than 0.676 were found to be indicative of hepatic steatosis and advanced hepatic fibrosis. Both weighted multivariable linear and logistic regression analyses were used to finish the study. Moreover, additional analyses were performed utilizing weighted stratified analysis and weighted smoothed curve fitting using the generalized additive model (GAM).Following data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378-6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI (βQ2 vs. Q1 = 0.965, 95% CI: 0.014-1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose-response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups.RESULTSFollowing data analysis, the multivariable regression model 3 showed a significant association between the elevated log-transformed LDH levels and AHF (OR: 3.087, 95% CI: 1.378-6.915, P = 0.007). Furthermore, a modest association was observed between log-transformed LDH tertiles and FLI (βQ2 vs. Q1 = 0.965, 95% CI: 0.014-1.916, P = 0.047). However, there was no evidence to prove that there was an association between log-transformed LDH levels and NAFLD in model 3. The weighted smoothed curve fitting using the GAM suggested a linear dose-response effect between log-transformed LDH levels and an increased risk of NAFLD, as well as a non-linear relationship between log-transformed LDH levels with AHF risk. Moreover, the weighted stratified analysis further suggested that the associations of log-transformed LDH with NAFLD and AHF could differ in different population groups.This study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes.CONCLUSIONSThis study indicates that elevated log-transformed LDH levels are associated with an increased prevalence of AHF in our study population. However, the cross-sectional study analysis cannot prove causality, which requires further cohort studies or mechanistic studies to elucidate the precise mechanisms and root causes. |
ArticleNumber | 467 |
Audience | Academic |
Author | Wang, Yuping Zhang, Xiaotong Liu, Min Zhou, Yongning Huang, Junjun Zheng, Ya |
Author_xml | – sequence: 1 givenname: Xiaotong surname: Zhang fullname: Zhang, Xiaotong – sequence: 2 givenname: Min surname: Liu fullname: Liu, Min – sequence: 3 givenname: Junjun surname: Huang fullname: Huang, Junjun – sequence: 4 givenname: Ya surname: Zheng fullname: Zheng, Ya – sequence: 5 givenname: Yuping surname: Wang fullname: Wang, Yuping – sequence: 6 givenname: Yongning surname: Zhou fullname: Zhou, Yongning |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40597710$$D View this record in MEDLINE/PubMed |
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Keywords | Lactate dehydrogenase Biomarker NAFLD NHANES Cross-sectional analysis |
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Snippet | The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This study aims... Background The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This... BackgroundThe associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been explored. This... Abstract Background The associations between LDH and non-alcoholic fatty liver disease (NAFLD), as well as advanced hepatic fibrosis (AHF), have not been... |
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SubjectTerms | Adult Alcohol Analysis Biomarker Biomarkers Biopsy Body mass index Care and treatment Complications and side effects Cross-sectional analysis Cross-Sectional Studies Dehydrogenases Diabetes Diagnosis Diseases Enzymes Fatty liver Female Fibrosis Health aspects Hepatitis Humans Hypertension Information management L-Lactate dehydrogenase L-Lactate Dehydrogenase - blood Lactate dehydrogenase Liver cancer Liver cirrhosis Liver Cirrhosis - blood Liver Cirrhosis - epidemiology Liver diseases Male Marital status Measurement Metabolism Middle Aged NAFLD NHANES Non-alcoholic Fatty Liver Disease - blood Non-alcoholic Fatty Liver Disease - epidemiology Nutrition Nutrition Surveys Population studies Prevalence Reagents Risk factors Secondary schools Steatosis Time trends (Statistics) United States United States - epidemiology Weight control |
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Title | Association of serum lactate dehydrogenase levels with non-alcoholic fatty liver disease and advanced hepatic fibrosis in the United States: a cross-sectional study using NHANES data from 2007 to 2018 |
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