Association of Serum Albumin Levels and Long-Term Prognosis in Patients with Biopsy-Confirmed Nonalcoholic Fatty Liver Disease

Relevance of combined influence of nutritional and inflammatory status on non-alcoholic fatty liver disease and advanced fibrosis: A mediation analysis of lipid biomarkers

BACKGROUND AND AIM

This study aimed to investigate the relationship between advanced lung cancer inflammation index (ALI) and non-alcoholic fatty liver disease (NAFLD) and advanced liver fibrosis (AF).

METHODS

A total of 5642 individuals from the National Health and Nutrition Examination Survey (NHANES) between 2017 and 2020 were examined. Limited cubic spline regression model, and weighted logistic regression were employed to determine if ALI levels were related to the prevalence of NAFLD and AF. Additionally, a mediating analysis was conducted to investigate the role of lipid biomarkers, such as total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C), in the effects of ALI on the prevalence of NAFLD and AF.

RESULTS

After adjusting for potential confounders, a significant positive association was found between ALI with NAFLD and AF prevalence. Compared with those in ALI Tertile 1, participants in Tertile 3 had higher odds of NAFLD prevalence (odds ratio [OR]: 3.16; 95% confidence interval [CI]: 2.52-3.97) and AF (OR: 3.17; 95% CI: 2.30-4.36). Participants in both Tertile 2 and Tertile 3 had lower odds of developing AF (P for trend = 0.005). Moreover, we discovered a nonlinear association between ALI and NAFLD. An inflection point of 74.25 for NAFLD was identified through a two-segment linear regression model. Moreover, TC and HDL-C levels mediated the association between ALI and NAFLD by 10.2% and 4.2%, respectively (both P < 0.001).

CONCLUSION

Our findings suggest that higher ALI levels are positively associated with an increased prevalence of NAFLD and AF, partly mediated by lipid biomarkers.

Association between nutritional status indices and non-alcoholic fatty liver disease in older adults: insights from the National Health and Nutrition Examination Survey 2017-2018

While previous studies have identified a relationship between dietary intake and the risk of non-alcoholic fatty liver disease (NAFLD), the influence of overall nutritional status on NAFLD development has not been thoroughly investigated. This study sought to explore the association between different nutritional status indicators and NAFLD among the older adults. Nutritional status was evaluated using controlling nutritional status (CONUT), prognostic nutritional index (PNI) and nutritional risk index (GNRI), while NAFLD was identified based on a controlled attenuation parameter ≥ 285 dB/m, measured using transient elastography. The analysis included multivariate regression, receiver operating characteristic analysis, eXtreme Gradient Boosting and subgroup analysis to investigate the relationships between nutritional status indices and NAFLD. The study enrolled 1409 participants for the main analysis, with an NAFLD prevalence of 44·7 %. After accounting for potential confounders, a positive association between PNI and NAFLD was observed. Participants in the third and fourth quartiles of PNI showed increased odds of NAFLD compared with the lowest quartile (Q3: OR = 1·45, 95 % CI (1·03, 2·05); Q4: OR = 2·27, 95 % CI (1·59, 3·24)). Similarly, higher GNRI quartiles were significantly associated with greater odds of NAFLD (Q4 v. Q1: aOR = 1·84; 95 % CI (1·28, 2·65)). Conversely, higher CONUT values were linked to a reduced prevalence of NAFLD (OR = 0·65, 95 % CI (0·48, 0·87)). This study highlights that suboptimal nutritional status, indicating overnutrition as evaluated by PNI, GNRI and CONUT, is positively linked with the risk of NAFLD in individuals aged 50 years and above.

Implementation of Machine Learning Algorithms to Screen for Advanced Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: An In-Depth Explanatory Analysis

INTRODUCTION

This study aimed to train machine learning algorithms (MLAs) to detect advanced fibrosis (AF) in metabolic dysfunction-associated steatotic liver disease (MASLD) patients at the level of primary care setting and to explain the predictions to ensure responsible use by clinicians.

METHODS

Readily available features of 618 MASLD patients followed up at a tertiary center were used to train five MLAs. AF was defined as liver stiffness ≥9.3 kPa, measured via 2-dimension shear wave elastography (n = 495) or liver biopsy ≥F3 (n = 123). MLAs were compared to Fibrosis-4 index (FIB-4) and non-alcoholic fatty liver disease (NAFLD) fibrosis score (NFS) on 540 MASLD patients from the primary care setting as validation. Feature importance, partial dependence, and shapely additive explanations (SHAPs) were utilized for explanation.

RESULTS

Extreme gradient boosting (XGBoost) achieved an AUC = 0.91, outperforming FIB-4 (AUC = 0.78) and NFS (AUC = 0.81, both p < 0.05) with specificity = 76% versus 59% and 48% for FIB-4 ≥1.3 and NFS ≥-1.45, respectively (p < 0.05). Its sensitivity (91%) was superior to FIB-4 (79%). XGBoost confidently excluded AF (negative predictive value = 99%) with the highest positive predictive value (31%), superior to FIB-4 and NFS (all p < 0.05). The most important features were HbA1c and gamma glutamyl transpeptidase (GGT) with a steep increase in AF probability at HbA1c >6.5%. The strongest interaction was between AST and age. XGBoost, but not logistic regression, extracted informative patterns from ALT, low-density lipoprotein cholesterol, and alkaline phosphatase (p < 0.001). One-quarter of the false positives (FPs) were correctly reclassified with only one additional false negative based on the SHAP values of GGT, platelets, and ALT which were found to be associated with a FP classification.

CONCLUSIONS

An explainable XGBoost algorithm was demonstrated superior to FIB-4 and NFS for screening of AF in MASLD patients at the primary care setting. The algorithm also proved safe for use as clinicians can understand the predictions and flag FP classifications.

Association between magnesium depletion score and the risk of metabolic dysfunction associated steatotic liver disease: a cross sectional study

The relationship between magnesium deficiency and metabolic dysfunction associated steatotic liver disease (MASLD) remains unclear. This study aimed to examine the association between the magnesium depletion score (MDS) and the risk of MASLD, as well as explore potential underlying mechanisms. Data from 12,024 participants from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 were analyzed. MDS was calculated based on the use of diuretics and proton pump inhibitors, kidney function, and alcohol consumption. MASLD was defined using the fatty liver index. Logistic regression, restricted cubic spline analysis, and mediation analyses were conducted to evaluate the association between MDS and MASLD and to identify potential mediators. A higher MDS was significantly associated with an increased risk of MASLD (OR = 2.00, 95% CI [1.47, 2.74] for MDS 3 vs. 0). A dose-response relationship between MDS and MASLD risk was observed. Neutrophils, albumin, and white blood cells partially were identified as partial mediators of the association, with albumin exhibiting the highest mediating effect (14.05%). Elevated MDS is significantly associated with an increased risk of MASLD in U.S. adults. Inflammation and albumin may serve as potential mediators of this relationship. These findings underscore the importance of addressing magnesium deficiency in the prevention and management of MASLD.

The relationship between serum HDL-cholesterol, cardiovascular disease and mortality in community-based people with type 2 diabetes: the Fremantle Diabetes Study phase 2

BACKGROUND

Older general population-based studies found an inverse association between serum HDL-cholesterol and both cardiovascular disease (CVD) events and mortality, but more recent data have suggested a U-shaped relationship. Whether this applies to type 2 diabetes is uncertain. The aim of this study was to assess the prognostic significance of serum HDL-cholesterol concentrations in representative, community-based participants from the Fremantle Diabetes Study Phase II (FDS2).

METHODS

We followed 1,479 FDS2 participants with confirmed type 2 diabetes (713 females, mean age 65.6 years; 763 males, mean age 65.9 years) from entry (2008-2011) to death/end-2021. Major adverse cardiovascular events (non-fatal myocardial infarction (MI), non-fatal stroke, cardiovascular death; 3-point MACE), and all-cause mortality were ascertained from prospectively collected data and validated administrative databases. Independent associates of 3-point MACE by sex, excluding participants with prior MI/stroke, were assessed using Cox and competing risk models with sex-specific quintiles of HDL-cholesterol added to the most parsimonious models. Predictors of all-cause mortality were identified using Cox proportional hazards modelling.

RESULTS

In females, with baseline serum HDL-cholesterol quintile 2 (1.04-1.22 mmol/L) as reference, both quintiles 1 (< 1.04 mmol/L) and 5 (> 1.59 mmol/L) were significant independent predictors of 3-point MACE (P < 0.027) and all-cause death (P < 0.019) after adjustment for a full range of demographic, clinical and laboratory variables. In males, serum HDL-cholesterol quintile did not add to the most parsimonious model for 3-point MACE, but quintile 1 (< 0.90 mmol/L) was a significant predictor of death (P = 0.026 versus quintile 4 (1.15-1.31 mmol/L) as reference) after adjustment. Competing risk analyses for 3-point MACE showed similar results to the Cox models for both sexes.

CONCLUSION

There was a significant U-shaped relationship between serum HDL-cholesterol and both 3-point MACE and all-cause death in females with type 2 diabetes after adjustment for confounders. There was no such relationship for 3-point MACE in males but a low HDL-cholesterol was associated with all-cause mortality. These data have sex-specific implications for assessment of serum lipid profiles in the clinical management of type 2 diabetes.

NLRP3 inflammasome pathway involved in the pathogenesis of metabolic associated fatty liver disease

The prevalence of Metabolic-associated fatty liver disease (MAFLD) has been steadily increasing worldwide, paralleling the global epidemic of obesity and diabetes. It is estimated that approximately one-quarter of the global population is affected by MAFLD. Despite its high prevalence, MAFLD often goes undiagnosed due to the lack of specific symptoms in its early stages. However, as the disease progresses, it can lead to more severe liver-related complications such as fibrosis, cirrhosis, and hepatocellular carcinoma. Therefore, we aimed to investigate the expression levels of the nucleotide-binding oligomerization domain, leucine-rich repeat (LRR)-containing proteins (NLR) family pyrin domain-containing protein 3 [NLRP3] inflammasome pathway components, NLRP3 and interleukin 1β (IL-1β) genes in patients with MAFLD with various degrees of steatosis and fibrosis. Participants were classified into two equal groups; MAFLD group: consisted of 120 patients with different degrees of hepatic fibrosis and steatosis based on fibro scan results. The non-MAFLD group was comprised of 107 participants. Molecular analysis of pyrin domain-containing protein 3 and IL-1β relative gene expressions was performed in the blood of all participants, using Real-time quantitative polymerase chain reaction (RT-qPCR). Patients with post-MAFLD hepatic fibrosis had significantly higher relative gene expression levels of IL-1β and NLRP3; with IL-1β > 1.1 had AUC of 0.919, sensitivity of 88.33, specificity of 96.26, PPV of 96.4, and NPV of 88 and 92.3 accuracy (p value < 0.001). NLRP3 > 1.33 had a sensitivity of 97.5, specificity of 99.07, PPV of 99.2, NPV of 97.2, and 98.3 accuracy with an AUC of 0.991 (p value < 0.001) as predictors of post-MAFLD hepatic fibrosis.. A significant increase in the mean relative gene expression levels of both IL-1β and NLRP3 found in patients with early fibrosis (F0-F1-2); 31.97 ± 11.8 and 6.76 ± 2.18, respectively; compared with patients with advanced hepatic fibrosis stages (F2-F3); 2.62 ± 3.71 and 4.27 ± 2.99 (p < 0.001 each). The present study provides novel evidence for the possible involvement of IL-1β and NLRP3 inflammasome in metabolic-associated fatty liver disease pathogenesis and could be valid markers for the early detection of post-MAFLD hepatic fibrosis.

Risk of hepatic steatosis with the preoperative treatment of pancreatic cancer and the short-term postoperative outcomes

PURPOSE

We investigated whether the preoperative treatment of patients with pancreatic cancer is a risk factor for hepatic steatosis (HS), and whether preoperative HS affects the short-term postoperative outcomes.

METHODS

Patients who underwent radical surgery for pancreatic cancer between 2010 and 2023 were enrolled. The patients' medical records were reviewed. Albumin and carbohydrate antigen 19-9 were measured before and after chemotherapy in the patients who received preoperative chemotherapy. A logistic regression univariate analysis was performed to analyze the factors associated with new-onset HS.

RESULTS

A total of 230 patients who underwent surgery were included. HS was observed on the date of surgery in 11 (10%) and two (2%) patients with and without preoperative chemotherapy, respectively. Female sex, initially borderline resectable or unresectable disease, history of cholangitis, presence of PEI, long-term (≥ 3 months) biliary drainage, preoperative chemotherapy, and serum albumin ≥ 3.9 mg/dl before chemotherapy were identified as risk factors for HS. The incidence of postoperative morbidity did not differ between the patients with and without preoperative steatosis.

CONCLUSIONS

Preoperative chemotherapy, a history of cholangitis, the presence of PEI, and ≥ 3 months' duration of biliary drainage were risk factors for the development of HS before surgery for pancreatic cancer. However, preoperative HS did not affect the short-term postoperative outcomes.

Inflammation, nutrition, and biological aging: The prognostic role of Naples prognostic score in nonalcoholic fatty liver disease outcomes

AIM

This study aimed to evaluate the prognostic value of the Naples Prognostic Score (NPS) for predicting mortality in patients with nonalcoholic fatty liver disease (NAFLD) and compare its performance with established non-invasive fibrosis scores, including the fibrosis-4 index (FIB-4) and NAFLD fibrosis score (NFS).

METHODS

Data from 10,035 NAFLD patients identified within the 1999-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Cox regression models assessed the association between NPS and all-cause mortality, while time-dependent ROC analysis compared its predictive accuracy with FIB-4 and NFS. Mediation analysis explored the role of phenotypic age acceleration (PhenoAgeAccel).

RESULTS

NPS was significantly associated with all-cause mortality, with each point increase corresponding to a 26 % increased risk (HR = 1.26, 95 % CI: 1.19-1.34). NPS demonstrated comparable predictive performance to FIB-4 and NFS, with further improvement when combined with either score (HRs of 2.03 and 2.11 for NPS + FIB-4 and NPS + NFS, respectively). PhenoAgeAccel mediated 31.5 % of the effect of NPS on mortality.

CONCLUSIONS

This study found that NPS has the potential to be an independent, cost-effective, and reliable novel prognostic indicator for NAFLD that may complement existing tools and help improve risk stratification and management strategies for NAFLD, thereby preventing adverse outcomes.

Independent associations of serum calcium with or without albumin adjustment and serum phosphorus with nonalcoholic fatty liver disease: results from NHANES 1999-2018

Background

The associations of serum calcium and phosphorus with nonalcoholic fatty liver disease (NAFLD) remain unclear. In addition, there may be an effect of albumin correction on the association between serum calcium and NAFLD. We aimed to explore these relationships in the National Health and Nutrition Examination Survey (NHANES).

Methods

Eligible adult individuals from NHANES 1999-2018 were recruited for the study. We explored the associations of serum calcium, albumin-adjusted serum calcium, and serum phosphorus with NAFLD in multivariable-adjusted regression models. In addition, restricted cubic spline (RCS), stratified analysis, and multiple sensitivity analyses were used for further elaboration.

Results

The study sample consisted of 20,900 participants, with an observed NAFLD prevalence of 44.65%. Fully adjusted models indicated that serum calcium was inversely associated with NAFLD (odds ratio [OR] and 95% confidence interval [CI] = 0.70 (0.62, 0.78), p<0.0001), whereas albumin-adjusted serum calcium was positively associated with NAFLD (OR and 95% CI=1.59 (1.41, 1.79), p<0.0001). RCS modeling indicated that serum calcium without and with albumin adjustment was linearly(p nonlinear = 0.083) and nonlinearly (p nonlinear < 0.0001) associated with NAFLD, respectively, whereas serum phosphorus showed a U-shaped relationship with NAFLD(p nonlinear < 0.0001). Gender is a significant influence in all associations, and other variables may also have an effect. Sensitivity analyses indicated that these associations were independent of additional significant confounders.

Conclusion

Serum calcium and phosphorus were significantly associated with the development of NAFLD. These findings suggest the potential clinical significance of serum calcium/phosphorus and albumin levels in individuals at high risk for NAFLD. Our study supports the potential role of serum calcium/phosphorus homeostasis in the pathophysiology of NAFLD and could serve as NAFLD-related biomarkers.

Albumin-Based Liver Reserve Models vs. MELD 3.0 in Prognostic Prediction for Hepatocellular Carcinoma Patients with Renal Insufficiency

The severity of liver functional reserve is an important prognostic predictor in hepatocellular carcinoma (HCC). The albumin-bilirubin (ALBI), easy (EZ)-ALBI, platelet-albumin-bilirubin (PALBI), platelet-albumin (PAL) score, and MELD 3.0 score are used to evaluate the severity of liver dysfunction. However, their prognostic role in HCC patients, specifically with renal insufficiency (RI), is unclear. We aimed to investigate the predictive accuracy of the five models in these patients. A total of 1120 newly diagnosed HCC patients with RI were enrolled. A multivariate Cox proportional analysis was used to identify independent predictors associated with survival. In the Cox model, older age, an α-fetoprotein ≥20 ng/mL, vascular invasion, a medium and high tumor burden score, poor performance status, a higher ALBI grade, an EZ-ALBI grade, a PALBI grade, a PAL grade, and MELD 3.0 score were all independently associated with decreased overall survival (all p < 0.001). Among the five liver reserve models, the ALBI grade is the best surrogate marker to represent liver functional reserve in terms of outcome prediction. The albumin-based liver reserve models (ALBI, EZ-ALBI, PALBI, and PAL) and MELD 3.0 are all feasible prognostic markers to indicate liver injury, specifically in HCC patients with RI. Among them, the ALBI grade is the most robust tool for survival prediction in these patients.