Usefulness of the Global Leadership Initiative on Malnutrition criteria to predict sarcopenia and mortality in patients with chronic liver disease.

AIM: The Global Leadership Initiative on Malnutrition (GLIM) criteria, a newly developed global consensus around core diagnostic criteria for malnutrition, needs validation studies for use in daily clinical settings. This study aimed to determine whether the GLIM criteria could predict sarcopenia and mortality in patients with chronic liver disease (CLD). METHODS: We retrospectively reviewed 858 patients with CLD who were treated at our hospital between March 2013 and December 2019. Sarcopenia was diagnosed based on the criteria proposed by the Japan Society of Hepatology. Malnutrition was assessed using the GLIM criteria, subjective global assessment (SGA), and Royal Free Hospital-global assessment (RFH-GA) and their predictive ability for sarcopenia and mortality were assessed using the logistic regression analysis and the Cox proportional hazards regression model, respectively. RESULTS: Among the eligible 406 patients, 67% were men, the median age was 74 years, and 26% had sarcopenia. The prevalence of malnutrition according to the GLIM criteria, SGA, and RFH-GA was 21%, 35%, and 26%, respectively. Comparing malnourished with well-nourished patients, the odds ratio for complicating sarcopenia was 2.54 (95% confidence interval [CI], 1.44-4.49) for the GLIM criteria, 2.13 (95% CI, 1.09-4.15) for the SGA, and 2.78 (95% CI, 1.56-4.95) for the RFH-GA. During a median follow-up period of 2.0 years, 176 (43%) patients died. After adjusting for confounding factors, the GLIM criteria could independently predict mortality (hazard ratio, 1.95; 95% CI, 1.37-2.81). CONCLUSIONS: The GLIM criteria are useful in identifying sarcopenia and predicting mortality in patients with CLD.

Usefulness of the Trabecular Bone Score in Assessing the Risk of Vertebral Fractures in Patients with Cirrhosis.

The trabecular bone score (TBS), a surrogate measure of bone microarchitecture, provides complementary information to bone mineral density (BMD) in the assessment of osteoporotic fracture risk. This cross-sectional study aimed to determine whether TBS can identify patients with liver cirrhosis that are at risk of vertebral fractures. We enrolled 275 patients who completed evaluations for lumbar BMD, TBS, and vertebral fractures between November 2018 and April 2021. BMD was measured using dual-energy X-ray absorptiometry (DXA), TBS was calculated by analyzing DXA images using TBS iNsight software, and vertebral fractures were evaluated using Genant's semi-quantitative method with lateral X-ray images. Factors associated with vertebral fractures and their correlation with the TBS were identified using regression models. Of the enrolled patients, 128 (47%) were female, the mean age was 72 years, and 62 (23%) were diagnosed with vertebral fractures. The prevalence of vertebral fractures was higher in women than in men (33% vs. 14%; p < 0.001). The unadjusted odds ratio (OR) of the vertebral fractures for one standard deviation decrease in TBS and BMD was 2.14 (95% confidence interval [CI], 1.69−2.73) and 1.55 (95% CI, 1.26−1.90), respectively. After adjusting for age, sex, and BMD, the adjusted OR of the vertebral fractures in TBS was 2.26 (95% CI, 1.52−3.35). Multivariate linear regression analysis showed that TBS was independently correlated with age (ß = −0.211), body mass index (ß = −0.251), and BMD (ß = 0.583). TBS can help identify patients with cirrhosis at risk of vertebral fractures.

Handgrip strength stratifies the risk of covert and overt hepatic encephalopathy in patients with cirrhosis.

BACKGROUND: Handgrip strength (HGS) is a simple and convenient method to assess nutrition status in patients with cirrhosis. This retrospective study aimed to investigate the utility of HGS for predicting patients with covert hepatic encephalopathy (CHE) and patients at high risk of overt hepatic encephalopathy (OHE). METHODS: We reviewed 963 patients with cirrhosis and consequently enrolled eligible 270 patients. HGS was measured using a digital grip dynamometer. CHE was diagnosed using a computer-aided neuropsychiatric test. Factors associated with CHE were estimated using the logistic regression model. Predictors associated with OHE occurrence were analyzed using the Fine-Gray competing risk regression model. RESULTS: Of the 270 eligible patients, reduced HGS was observed in 102 (38%), reduced muscle mass in 107 (40%), and CHE in 53 (20%). Multivariate analysis showed that serum ammonia levels (odds ratio [OR], 2.23; 95% CI, 1.14-4.36; P = 0.014) and reduced HGS (OR, 3.68; 95% CI, 1.93-7.03; P < 0.001) were independently associated with CHE. During the median follow-up period of 24.5 months, 43 (16%) patients experienced OHE. After adjusting for possible confounding factors, multivariate analysis showed that reduced HGS (subdistribution hazard ratio, 2.36; 95% CI, 1.27-4.38; P = 0.007) was a significant predictor in the development of OHE. CONCLUSION: Patients with reduced HGS had a higher prevalence of CHE and a higher risk for OHE occurrence than those with normal HGS. The measurement of HGS could be a simple bedside modality to stratify the patients' risk for CHE and OHE.

Usefulness of nutritional therapy recommended in the Japanese Society of Gastroenterology/Japan Society of Hepatology evidence-based clinical practice guidelines for liver cirrhosis 2020.

BACKGROUND: The JSGE/JSH guidelines for the management of patients with liver cirrhosis revised in 2020 recommends new strategies for nutritional assessment and intervention, although their usefulness in daily clinical practice is unclear. METHODS: A total of 769 patients with cirrhosis were classified into low-, intermediate-, and high-risk groups according to hypoalbuminemia and sarcopenia, the criteria established for initiating the nutritional therapy algorithm in the guidelines. The association between these groups and mortality was analyzed using a Cox proportional hazards model. The effect of branched-chain amino acids (BCAAs) on survival was evaluated using propensity score matching. RESULTS: Of the enrolled patients, 495 (64%) were men with a median age of 73 years, 428 (56%) had hypoalbuminemia, 156 (20%) had sarcopenia, and 288 (37%) were receiving BCAAs. During a median follow-up period of 1.5 years, 276 (36%) patients died. The intermediate-risk [hazard ratio (HR), 1.60; 95% confidence interval (CI), 1.18-2.18] and high-risk (HR, 2.85; 95% CI, 1.92-4.23) groups independently predicted mortality. Among the propensity score-matched 250 patients, 49 (39%) BCAA-treated and 58 (46%) untreated died. Overall survival was higher in BCAA-treated patients than in untreated patients (HR, 0.67; 95% CI, 0.46-0.98). The survival benefit of BCAAs was pronounced in the intermediate-risk (HR, 0.50; 95% CI, 0.31-0.80) and high-risk (HR, 0.38; 95% CI, 0.16-0.91) groups. CONCLUSIONS: The 2020 JSGE/JSH guidelines for liver cirrhosis are useful in stratifying the mortality risk and providing effective nutritional interventions for malnourished patients with cirrhosis.

Usefulness of the Stroop Test in Diagnosing Minimal Hepatic Encephalopathy and Predicting Overt Hepatic Encephalopathy.

Minimal hepatic encephalopathy (MHE) adversely affects the clinical outcomes of patients with liver cirrhosis. This prospective study aimed to evaluate the utility of the Stroop test in the diagnosis of MHE and prediction of overt hepatic encephalopathy (OHE) in Japanese patients with cirrhosis. We enrolled 152 patients who underwent the Stroop test between November 2018 and February 2020. MHE was diagnosed using a combination of neuropsychological tests as the gold standard. The enrolled patients were followed up prospectively until the occurrence of OHE or August 2020. The optimal cutoff value of the Stroop test measurements was determined by receiver operating characteristic (ROC) curve analysis, and its predictive ability was assessed using the area under the ROC curve (AUC). Among the 139 eligible patients, 50 (36%) were diagnosed with MHE. The OffTime+OnTime cutoff value of 218.3 seconds had the best discriminative ability for MHE diagnosis, with an AUC of 0.77, a sensitivity of 74%, and a specificity of 75%. During a median follow-up of 10.8 months, 6 (4%) patients developed OHE. The OffTime+OnTime cutoff value of 305.6 seconds had the highest predictive ability for OHE, with an AUC of 0.79, a sensitivity of 67%, and a specificity of 92%. This value predicted OHE occurrence independent of liver functional reserve and prior OHE (hazard ratio, 19.8; P = 0.003). These two cutoff values remained statistically significant even when patients with prior OHE were excluded from the analysis. Conclusion: The Stroop test was useful for diagnosing patients with MHE and predicting OHE in Japanese patients with cirrhosis.

Zinc deficiency predicts overt hepatic encephalopathy and mortality in liver cirrhosis patients with minimal hepatic encephalopathy.

AIM: Minimal hepatic encephalopathy (MHE) is associated with poor outcomes and the development of overt hepatic encephalopathy (OHE) in patients with liver cirrhosis (LC). Zinc plays a key role in the detoxification of ammonia, a risk factor of hepatic encephalopathy. This study aimed to investigate whether zinc deficiency predicts OHE occurrence and mortality in LC patients with MHE. METHOD: This retrospective study included 100 LC patients with MHE. MHE was diagnosed using a computer-aided neuropsychiatric test. Predictors associated with the development of OHE were analyzed using the Fine-Gray competing risk regression model. Cox proportional hazards regression analysis was carried out to evaluate the risk factors of mortality. Survival rates were analyzed using the Kaplan-Meier method and log-rank test. RESULTS: Of the 100 LC patients with MHE, 41% had zinc deficiency (<60 µg/dl). Zinc deficiency was observed more frequently in the patients with reduced liver function reserve. During the median follow-up period of 9.9 months, 16% of the patients with MHE developed OHE. The patients with zinc deficiency had a higher risk of OHE than those without zinc deficiency (p = 0.03). Zinc deficiency was also associated with poor survival (p = 0.004). Multivariate analyses showed that zinc predicts the development of OHE (subdistribution hazard ratio [HR], 0.95; 95% confidence interval [CI], 0.92-0.99; p = 0.008) and mortality (HR, 0.96; 95% CI, 0.93-0.99; p = 0.02), independently of liver function reserves. CONCLUSION: Zinc deficiency is likely to be a predictor of both OHE development and mortality in LC patients with MHE.