Non-invasive prediction nomogram for predicting significant fibrosis in patients with metabolic-associated fatty liver disease: a cross-sectional study.

BACKGROUND AND AIM: This study aims to validate the efficacy of the conventional non-invasive score in predicting significant fibrosis in metabolic-associated fatty liver disease (MAFLD) and to develop a non-invasive prediction model for MAFLD. METHODS: This cross-sectional study was conducted among 7701 participants with MAFLD from August 2018 to December 2023. All participants were divided into a training cohort and a validation cohort. The study compared different subgroups' demographic, anthropometric, and laboratory examination indicators and conducted logistic regression analysis to assess the correlation between independent variables and liver fibrosis. Nomograms were created using the logistic regression model. The predictive values of noninvasive models and nomograms were evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA). RESULTS: Four nomograms were developed for the quantitative analysis of significant liver fibrosis risk based on the multivariate logistic regression analysis results. The nomogram's area under ROC curves (AUC) was 0.710, 0.714, 0.748, and 0.715 in overall MAFLD, OW-MAFLD, Lean-MAFLD, and T2DM-MAFLD, respectively. The nomogram had a higher AUC in all MAFLD participants and OW-MAFLD than the other non-invasive scores. The DCA curve showed that the net benefit of each nomogram was higher than that of APRI and FIB-4. In the validation cohort, the AUCs of the nomograms were 0.722, 0.750, 0.719, and 0.705, respectively. CONCLUSION: APRI, FIB-4, and NFS performed poorly predicting significant fibrosis in patients with MAFLD. The new model demonstrated improved diagnostic accuracy and clinical applicability in identifying significant fibrosis in MAFLD.

Association between chitinase-3-like protein 1 and metabolic-associated fatty liver disease in patients with type 2 diabetes mellitus.

BACKGROUND AND AIM: Early identification of liver fibrosis is essential for the prognosis of metabolic-associated fatty liver disease (MAFLD), particularly in type 2 diabetes mellitus (T2DM) patients. Here, we explored the association of chitinase-3-like protein 1 (CHI3L1) and liver fibrosis in T2DM-MAFLD patients. METHODS: Liver fibrosis was staged in T2DM-MAFLD patients, and a liver stiffness measurement (LSM) of ≥ 8 kPa was used to differentiate between non-significant (NSLF) and significant liver fibrosis (SLF) subgroups. The two subgroups were compared for serum CHI3L1 and other parameters. Linear correlation, logistic regression, and restricted cubic spline (RCS) analyses were performed to evaluate the association between CHI3L1 and liver fibrosis. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic accuracy of CHI3L1. RESULTS: Among T2DM-MAFLD, SLF patients had higher CHI3L1 compared to NSLF patients. CHI3L1 was found to be positively correlated with LSM. Multivariate logistic regression analysis suggested that CHI3L1 may be a potential independent risk factor for SLF. Further stratified analysis indicated that the odds ratios of SLF in the high CHI3L1 group were higher than in the low CHI3L1 group in the subgroups. RCS analysis suggested an increasing trend in the incidence of significant fibrosis with the rising level of CHI3L1. The area under the ROC curve for detecting significant fibrosis was 0.749 (95% CI: 0.668-0.829). CONCLUSIONS: Serum CHI3L1 demonstrates an association with significant liver fibrosis. High serum levels of CHI3L1 may indicate the existence of significant liver fibrosis in T2DM-MAFLD patients.

Alteration of serum bile acid profiles of HBV-related hepatocellular carcinoma identified by LC-MS/MS.

BACKGROUND: Hepatocellular carcinoma closely related to metabolic disorders is a common and aggressive liver malignancy. The dysregulation of bile acid homeostasis has emerged as a key factor for the development and progression of HCC. We aimed to investigate the relationship between bile acids and HCC diagnosis and progression. METHODS: A total of 744 HBV-related patients (including 396 HCC patients and 348 patients with chronic liver diseases) were enrolled in the current study. The baseline characteristics of patients were collected from electronic medical records, and the levels of bile acid profiles were determined by LC-MS/MS. Propensity score matching analysis was conducted to reduce the effect of selection bias, and receiver operating characteristic analysis was performed to evaluate the clinical application values of bile acid. RESULTS: Significant differences were observed for most characteristics between the HCC group and the CLD group before PSM analysis. Patients with HCC were older and fatter (p < 0.05). After adjusting with a 1:1 ratio for age, gender and BMI, 42 HCC patients and 42 non-HCC patients were matched in 2 groups, respectively. The total bile acid level in HCC patients was lower than that in patients with chronic liver diseases before and after PSM analysis (p < 0.05). However, patients with HCC had significantly higher levels of DCA, LCA, and GLCA and lower levels of TCDCA, GUDCA, and TUDCA (p < 0.05, respectively). Besides, the TCDCA, TUDCA, GLCA, and GUDCA were significantly correlated with tumor procession. Moreover, the BAs profiles had a superior predictive ability for predicting the development of HCC even in patients with low serum AFP levels. CONCLUSION: Patients with HCC had significantly lower levels of total bile acid, but higher levels of secondary bile acids (DCA, LCA, and GLCA). The levels of primary bile acid (TCDCA) were closely related to tumor size and stage, which indicated that the bile acids were involved in the HCC procession and had important clinical application values.

Association of Non-Invasive Markers with Significant Fibrosis in Patients with Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study.

Purpose: The identification of significant fibrosis is critical for predicting the prognosis of non-alcoholic fatty liver disease (NAFLD). This study aimed to compare the predictive value of chitinase-3-like protein 1 (CHl3L1) and other non-invasive biomarkers, as well as to establish a novel non-invasive diagnostic model for assessing the risk of significant fibrosis in NAFLD. Patients and Methods: A total of 71 patients with confirmed NAFLD based on liver biopsy were included in this study. Serum CHI3L1 levels and other non-invasive fibrosis assessment measures were determined. The aspartate aminotransferase-to-platelet ratio index (APRI) and Fibrosis-4 Index (FIB-4) were calculated to assess the diagnostic superiority of serum CHI3L1 compared to other non-invasive fibrosis assessment measures. Multivariate logistic regression analysis was conducted to identify relevant variables for constructing a diagnostic model. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of each index, including the area under ROC curve (AUC), sensitivity, and specificity. A nomogram was established based on the logistic regression model. Results: Serum CHI3LI levels were found to be higher in NAFLD patients with significant fibrosis compared to those without significant fibrosis. Multivariate logistic regression analysis revealed that aspartate aminotransferase (AST), type IV collagen (IV-C), CHI3L1, and liver stiffness measurement (LSM) were identified as potential independent risk factors associated with significant fibrosis in patients. The AUC of CHI3L1 for diagnosing significant liver fibrosis was 0.716 (0.596,0.836), with the optimal cut-off point of 125.315. The nomogram incorporating CHI3LI, AST, IV-C, and LSM further improved the potential predictive value, with an AUC for diagnosing significant fibrosis of 0.864 (0.766,0.962). This was superior to IV-C, CHI3L1, LSM, and APRI (all p < 0.05). Conclusion: The diagnostic model constructed by CHI3L1 combined with the existing non-invasive markers AST, IV-C, and LSM can help assess the risk of significant liver fibrosis in NAFLD.

Stages of psychological change among patients with non-alcoholic fatty liver disease in China: a national cross-sectional study.

OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is becoming the leading cause of chronic liver disease worldwide. However, treatment of NAFLD is potentially influenced by psychological conditions. Using the simplified version of the University of Rhode Island Change Assessment (URICA-SV) scale, this study aimed to evaluate the stage of psychological change as a prerequisite to refining implementation strategies for psychological change. DESIGN: A multicentre cross-sectional survey. SETTING: Ninety hospitals in China. PARTICIPANTS: 5181 patients with NAFLD were included in this study. OUTCOME MEASURES: All patients completed the URICA-SV questionnaire and were assigned to one of the three stages of change (precontemplation, contemplation or action) according to their readiness scores. A stepwise multivariate logistic regression analysis was used to identify independent factors associated with the stage of psychological change. RESULTS: A total of 4832 (93.3%) patients were included in the precontemplation stage and only 349 (6.7%) considered making a change or preparing to make one. There were significant differences in gender (Cohen's d=0.039, p=0.005), age (Cohen's d=-0.327, p<0.001), waist circumference (Cohen's d=0.143, p=0.003), alanine transaminase (Cohen's d=0.347, p=0.001), triglyceride (Cohen's d=0.351, p=0.002), body mass index (BMI; Cohen's d=0.056, p<0.001), proportion of hyperlipidaemia (Cohen's d=0.068, p<0.001) and cardiovascular disease (Cohen's d=0.032, p=0.029), therapeutic regimen (Cohen's d=0.136, p<0.001), and Chronic Liver Disease Questionnaire-Non-Alcoholic Fatty Liver Disease overall score (Cohen's d=-0.420, p<0.001) between patients with NAFLD in the precontemplation stage and those in the contemplation/action stage. Logistic regression identified BMI (HR 0.659, 95% CI 0.469 to 0.928, p=0.017), cardiovascular disease (HR 2.161, 95% CI 1.089 to 4.287, p=0.027) and triglyceride (HR 0.751, 95% CI 0.591 to 0.955, p=0.020) as independent factors predicting psychological change. CONCLUSIONS: The results demonstrated that very few patients with NAFLD presented psychological condition in the stage of action. Psychological condition was found to be significantly related to BMI, cardiovascular disease and triglyceride factors. Integrated diversity considerations for evaluating psychological change are necessary.

Estimated glomerular filtration rate partially recovered in patients without Hypertriglyceridemia during Tenofovir disoproxil fumarate treatment.

BACKGROUND: Decrease in estimated glomerular filtration rate (eGFR) during Tenofovir disoproxil fumarate (TDF) treatment remains a concern, and few patients experience partial recovery of eGFR. This study aimed to investigate the risk factors for eGFR recovery in patients with and without hypertriglyceridemia. METHODS: A total of 203 patients with chronic HBV infection were prospectively recruited and followed up for three years. Data were collected at baseline, first, second, and third years during TDF treatment. RESULTS: Most patients achieved normal ALT (80.0% vs. 82.5%) and undetectable HBV DNA (95.0% vs. 95.6%) in both groups (p > 0.05). For patients with hypertriglyceridemia, eGFR and cholesterol did not change significantly during the 3-year follow-up, while triglyceride (TG) decreased significantly in the first year and persisted at a lower level in the subsequent two years. For patients without hypertriglyceridemia, eGFR declined significantly in the first year of treatment, then gradually recovered during the subsequent two years, and eGFR was negatively correlated with TG at the four time points. Fifteen (15/183, 8.2%) patients without hypertriglyceridemia experienced eGFR partial recovery in the third year. Univariate and multivariate analyses showed that baseline eGFR <90 mL/(min·1.73 m2) (p < 0.01; 95% CI: 0.019-0.284) and age (p < 0.01; 95% CI: 0.817-0.960) were independent risk factors for eGFR recovery. CONCLUSION: eGFR partially recovered in patients without hypertriglyceridemia during TDF treatment, and TG regulation might be a useful strategy to hinder renal function decline, although larger, confirmatory studies are necessary to validate our findings.Key messagesFor patients with normal triglyceride, eGFR declined significantly at the first year of TDF treatment, then gradually recovered during the subsequent two years, and eGFR was negatively correlated with TG. Baseline eGFR <90 mL/(min·1.73 m2) and age were independent risk factors for eGFR recovery.

Reliability and validity of the Chinese version of chronic liver disease questionnaire-nonalcoholic fatty liver disease in patients with nonalcoholic fatty liver disease: a multicenter cross-sectional survey in China.

PURPOSE: The Chronic Liver Disease Questionnaire (CLDQ)-Nonalcoholic Fatty Liver Disease (NAFLD) is a disease-specific instrument to assess the health-related quality of life (HRQL) of patients with NAFLD. In order to provide further evidence for the cross-cultural utility of this instrument in the Chinese population, we translated the CLDQ-NAFLD into Chinese and examined its reliability and validity. METHODS: Patients with NAFLD in 90 hospitals across China were enrolled in this multicenter cross-sectional survey. Eligible patients completed the Chinese version of CLDQ-NAFLD at enrollment to assess HRQL. Internal consistency of the questionnaire was assessed using Cronbach's alpha coefficient and split-half reliability. Convergent and discriminant validity were assessed using Spearman correlation coefficient. Factor analysis was used to test the construct validity. RESULTS: Between March and August 2019, 5181 patients with a mean age of 43.8 ± 13.3 years were enrolled. All domains exhibited good internal consistency, with Cronbach's alpha and split-half reliability greater than 0.70. The scaling success rate of all domains was 100% for convergent validity and 99.4% (179/180) for discriminant validity. The inter-scale correlations indicated a significant correlation between all CLDQ-NAFLD domains (r = 0.608 to 0.832, all p < 0.001). Factor analysis of 36 items extracted 6 factors, which explained 69.14% of the total variance. CONCLUSION: The Chinese version of CLDQ-NAFLD is a reliable and valid instrument for assessing the HRQL of Chinese patients with NAFLD.

Dynamic changes of estimated glomerular filtration rate are conversely related to triglyceride in non-overweight patients.

BACKGROUND: Correlation between Triglyceride (TG) and estimated glomerular filtration rate (eGFR) remains largely unknown in overweight and non-overweight patients. AIM: To investigated the dynamic changes of eGFR and lipid profiles during 3-year tenofovir disoproxil fumarate (TDF) treatment in patients with chronic hepatitis B (CHB) and overweight. METHODS: A total of 202 CHB patients who received TDF treatment at the Third People's Hospital of Changzhou (Changzhou, China) and Nanjing Drum Tower Hospital (Nanjing, China) between January 2016 and May 2018 were retrospectively enrolled. According to the body mass index (BMI) at the initiation of TDF treatment, CHB patients were divided into overweight (BMI ≥ 25 kg/m2) and non-overweight (BMI < 25 kg/m2) groups. Logistic regression was applied for the analysis of risk factors for eGFR < 90 mL/(min·1.73 m2). RESULTS: There is no significant difference in hepatitis B virus DNA (HBV DNA) negativity and hepatitis Be antigen (HBeAg) loss between patients with overweight and non-overweight (both P > 0.05). More patients in non-overweight group achieved alanine aminotransferase normalization compared with those in overweight group (χ 2 = 11.036, P < 0.01). In non-overweight patients, the eGFR significantly declined in the 1st year (P < 0.01), then remained at a relatively lower level. TG significantly declined in the 2nd year (P = 0.02) and increased in the 3rd year. Moreover, TG was negatively correlated with GFR at the four-time points (P = 0.002, 0.030, 0.007, 0.008, respectively). In overweight patients, eGFR and TG remained relatively stable during the 3-year treatment, and eGFR showed no significant relationship with TG. Moreover, multivariate analysis showed that age [P < 0.01, 95%CI (0.97-1.005)] and baseline eGFR [P < 0.01, 95%CI (5.056-33.668)] were independent risk factors for eGFR < 90 mL/(min·1.73 m2) at the 3rd year. CONCLUSION: Dynamic changes in renal function were conversely related to TG during TDF treatment in patients with CHB and normal BMI, but not with overweight.

Construction and validation of a predictive model for hepatocellular carcinoma based on serum markers.

BACKGROUND: Early hepatocellular carcinoma (HCC) detection with non-invasive biomarkers remains an unmet clinical need. We aimed to construct a predictive model based on the pre-diagnostic levels of serum markers to predict the early-stage onset of HCC. METHODS: A total of 339 HCC patients (including 157 patients from Changzhou cohort and 182 patients from Wuxi cohort) were enrolled in our retrospective study. Levels of 25 baseline serum markers were collected. Propensity score matching (PSM) analysis was conducted to balance the distributions of patients' gender, age, and the surveillance time between HCC group and control group. Then, Receiver operating characteristic (ROC) and Logistic regression analysis were performed to screen the independent predictive variables and construct a non-invasive predictive model. Subsequently, ROC curve and Kaplan-Meier (K-M) curve were used to evaluate the predictive values of the model. Clinical net benefit of the model was demonstrated by decision curve analysis (DCA) and clinical impact curve. RESULTS: Five independent predictive variables for HCC onset and two general characteristics of patients (age and gender) were incorporated into the score model. ROC and DCA curves showed that the score model had better predictive performance in discrimination and clinical net benefit compared with single variable or other score systems, with the area under the curve (AUC) of 0.890 (95% CI 0.856-0.925) in Changzhou cohort and 0.799 (95% CI 0.751-0.849) in Wuxi cohort. Meanwhile, stratification analysis indicated that the score model had good predictive values for patients with early tumor stage (AJCC stage I) or small tumors (< 2 cm). Moreover, the score of HCC patient began to increase at 30 months before clinical diagnosis and reach a peak at 6 months. CONCLUSION: Based on this model, we could optimize the current risk stratification at an early stage and consider further intensive surveillance programs for high-risk patients. It could also help clinicians to evaluate the progression and predict the prognosis of HCC patients.

SARS-CoV-2 omicron variant clearance delayed in breakthrough cases with elevated fasting blood glucose.

BACKGROUND: Omicron variant (B.1.1.529) is a dominant variant worldwide. However, the risk factors for Omicron variant clearance are yet unknown. The present study aimed to investigate the risk factors for early viral clearance of Omicron variant in patients with a history of inactivated vaccine injection. METHODS: Demographic, clinical, and epidemiological data from 187 patients were collected retrospectively during the Omicron variant wave. RESULTS: 73/187 and 114/187 patients were administered two and three doses of vaccine, respectively. The median duration of SARS-CoV-2 RNA positivity was 9 days, and the difference between patients with two and three vaccine injections was insignificant (P = 0.722). Fever was the most common symptom (125/187), and most patients (98.4%) had a fever for < 7 days. The RNA was undetectable in 65/187 patients on day 7. Univariable logistic analysis showed that baseline glucose, uric acid, lymphocytes count, platelet count, and CD4+ T lymphocyte count were associated with SARS-CoV-2 RNA-positivity on day 7. Multivariable analysis showed that glucose ≥ 6.1 mmol/L and CD4+T lymphocytes count were independent risk factors for RNA positivity on day 7. 163/187 patients had an undetectable RNA test on day 14, and uric acid was the only independent risk factor for RNA positivity. Moreover, baseline glucose was negatively correlated with uric acid and CD4+ and CD8+ T cell count, while uric acid was positively correlated with CD4+ and CD8+ T cell count. CONCLUSIONS: Omicron variant clearance was delayed in breakthrough cases with elevated fasting blood glucose, irrespective of the doses of inactivated vaccine.

Tenofovir is superior to entecavir in reducing HCC for patients with HBV-related compensated cirrhosis at high HCC risk scores.

Background: Both tenofovir disoproxil fumarate (TDF) and entecavir (ETV) are known to reduce the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). This study aimed to compare the difference in HCC risk reduction between TDF and ETV in treatment-naïve patients with CHB-related compensated cirrhosis. Methods: Patients with compensated cirrhosis initially treated with TDF or ETV at nine Chinese hospitals between June 2014 and March 2021 were enrolled in this retrospective study. The cumulative HCC incidence rates for the two drugs were compared for the entire cohort, and a subgroup analysis was performed according to the HCC risk scores. Propensity score matching (PSM) was used to control confounding biases. Results: The analysis included 1453 patients (TDF group, n = 188; ETV group, n = 1265). Ninety-five patients developed HCC, with a median follow-up period of 26.1 months. The 3-year HCC incidence was 2.0% in the TDF group and 7.5% in the ETV group (log-rank p = 0.005). TDF treatment was associated with a lower risk of HCC than ETV treatment [hazard ratio (HR) = 0.222, 95% confidence interval (CI), 0.070-0.702, p = 0.010] but was similar after PSM (HR = 0.483, 95% CI, 0.144-1.626, p = 0.240; log-rank p = 0.230). However, subgroup analysis showed that the cumulative HCC incidence was lower in the TDF group than in the ETV group among patients with a modified PAGE-B score (mPAGE-B) ⩾9, either before or after PSM (log-rank p = 0.048 and p = 0.023, respectively). Conclusion: Among patients with an mPAGE-B score ⩾9, TDF is associated with a lower HCC incidence than ETV in patients with CHB-related compensated cirrhosis.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

Background: Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. Methods: Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. Results: Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P = 0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P < 0.001) and critical illness (4.4% vs. 0.5%, P = 0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062-19.201, P < 0.001) and lymphopenia (OR 3.315, 95% CI 1.306-8.411, P = 0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia. Conclusions: 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Antecedentes: Pocos estudios han investigado el impacto del síndrome metabólico (SM) en la enfermedad por coronavirus 2019 (COVID-19). Describimos las características clínicas y el pronóstico de los pacientes con COVID-19 confirmados con SM durante la hospitalización y después del alta. Métodos: Se incluyó de forma retrospectiva a 233 pacientes con COVID-19 de los hospitales de 8 ciudades de Jiangsu (China). Se describieron sus características clínicas y se analizaron los factores de riesgo de enfermedad grave mediante un análisis de regresión logística. Resultados: De los 233 pacientes, 45 (19,3%) tenían EM. La mediana de edad de estos pacientes con EM fue significativamente mayor que la de los pacientes sin él (53,0 años frente a 46,0 años; p = 0,004). No hubo diferencias significativas en cuanto a los síntomas clínicos, las imágenes de TC torácica anormales y los fármacos de tratamiento entre los 2 grupos. Hubo más pacientes con EM que tuvieron enfermedades graves (33,3% frente a 6,4%; p < 0,001) y críticas (4,4% frente a 0,5%; p = 0,037) que los pacientes sin EM. Las proporciones de insuficiencia respiratoria y síndrome de dificultad respiratoria aguda en los pacientes con EM también fueron mayores que en los pacientes sin EM durante la hospitalización. El análisis multivariante mostró que la EM concurrente (odds ratio [OR] 7,668; intervalo de confianza [IC] del 95%: 3,062-19,201; p < 0,001) y la linfopenia (OR 3,315; IC del 95%: 1,306-8,411; p = 0,012) eran factores de riesgo independientes de COVID-19 grave. En una mediana de seguimiento de 28 días tras el alta, se encontró neumonía bilateral en el 95,2% de los pacientes con EM, mientras que solo la presentaron el 54,7% de los pacientes sin EM. Conclusiones: El 19,3% de los pacientes con COVID-19 tenían EM en nuestro estudio. Los pacientes con COVID-19 y EM son más propensos a desarrollar complicaciones graves y tienen peor pronóstico. Se debe prestar más atención a los pacientes con COVID-19 y EM.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study / Características clínicas y pronóstico de los pacientes con COVID-19 y síndrome metabólico: un estudio multicéntrico y retrospectivo

Background:Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge.Methods:Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis.Results:Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P=0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P<0.001) and critical illness (4.4% vs. 0.5%, P=0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062–19.201, P<0.001) and lymphopenia (OR 3.315, 95% CI 1.306–8.411, P=0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia.Conclusions:19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS. (AU)

Antecedentes:Pocos estudios han investigado el impacto del síndrome metabólico (SM) en la enfermedad por coronavirus 2019 (COVID-19). Describimos las características clínicas y el pronóstico de los pacientes con COVID-19 confirmados con SM durante la hospitalización y después del alta.Métodos:Se incluyó de forma retrospectiva a 233 pacientes con COVID-19 de los hospitales de 8 ciudades de Jiangsu (China). Se describieron sus características clínicas y se analizaron los factores de riesgo de enfermedad grave mediante un análisis de regresión logística.Resultados:De los 233 pacientes, 45 (19,3%) tenían EM. La mediana de edad de estos pacientes con EM fue significativamente mayor que la de los pacientes sin él (53,0 años frente a 46,0 años; p = 0,004). No hubo diferencias significativas en cuanto a los síntomas clínicos, las imágenes de TC torácica anormales y los fármacos de tratamiento entre los 2 grupos. Hubo más pacientes con EM que tuvieron enfermedades graves (33,3% frente a 6,4%; p < 0,001) y críticas (4,4% frente a 0,5%; p = 0,037) que los pacientes sin EM. Las proporciones de insuficiencia respiratoria y síndrome de dificultad respiratoria aguda en los pacientes con EM también fueron mayores que en los pacientes sin EM durante la hospitalización. El análisis multivariante mostró que la EM concurrente (odds ratio [OR] 7,668; intervalo de confianza [IC] del 95%: 3,062-19,201; p < 0,001) y la linfopenia (OR 3,315; IC del 95%: 1,306-8,411; p = 0,012) eran factores de riesgo independientes de COVID-19 grave. En una mediana de seguimiento de 28 días tras el alta, se encontró neumonía bilateral en el 95,2% de los pacientes con EM, mientras que solo la presentaron el 54,7% de los pacientes sin EM.Conclusiones:El 19,3% de los pacientes con COVID-19 tenían EM en nuestro estudio. Los pacientes con COVID-19 y EM son más propensos a desarrollar complicaciones graves y tienen peor pronóstico. Se debe prestar más atención a los pacientes con COVID-19 y EM. (AU)

Presence of Serum Antinuclear Antibodies Does Not Impact Outcomes in HBV-Related Acute-on-Chronic Liver Failure.

BACKGROUND: The aim of this study was to provide new insights into the prevalence of positive antinuclear antibody (ANA) in patients with HBV-related acute-on-chronic liver failure (ACLF) and its impact on clinical outcomes. METHODS: A total of 116 patients with HBV-related ACLF treated at three clinical centers were retrospectively recruited. Serum concentrations of ANA were detected using the enzyme-linked immunosorbent assay kit. Multiple nuclear dots, rim-like, and centromere patterns of ANA were detected using indirect immunofluorescence assay on HEp-2 cells. RESULTS: Among the 116 patients with HBV-related ACLF, 17 (14.66%) were ANA positive. Most patients in both ANA positive and negative groups were males (88.2% and 83.8%). Patients with negative ANA had a higher international normalized ratio, model for end-stage liver disease (MELD), and MELD-sodium scores than those with positive ANA (all P < 0.05). Multiple nuclear dot pattern was detected in half of the patients (8/17, 47.06%), rim-like/membranous pattern was found in six patients, and centromere pattern was detected in the last three patients. For patients with ANA (+), IgM was lower, and it was positively correlated with IgG. For patients with ANA (-), C3 was positively correlated with C4, and both C3 and C4 were negatively correlated with INR and MELD (all P < 0.05). In addition, TBIL, INR, WBC, and PLT, but not ANA, resulted as independent risk factors associated with 90-day mortality. CONCLUSION: Positive ANA is frequent in HBV-related ACLF, and it does not seem to be associated with poor outcomes, but the pathogenesis of ACLF may be different between ANA (+) and ANA (-) groups.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

BACKGROUND: Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. METHODS: Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. RESULTS: Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P=0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P<0.001) and critical illness (4.4% vs. 0.5%, P=0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062-19.201, P<0.001) and lymphopenia (OR 3.315, 95% CI 1.306-8.411, P=0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia. CONCLUSIONS: 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Prediction of early recurrence and response to adjuvant Sorafenib for hepatocellular carcinoma after resection.

BACKGROUND: Early recurrence of hepatocellular carcinoma (HCC) is a major obstacle to improving the prognosis, and no widely accepted adjuvant therapy guideline for patients post-liver resection is available. Currently, all available methods and biomarkers are insufficient to accurately predict post-operation HCC patients' risk of early recurrence and their response to adjuvant therapy. METHODS: In this study, we downloaded four gene expression datasets (GSE14520, GSE54236, GSE87630, and GSE109211) from the Gene Expression Omnibus database and identified 34 common differentially expressed genes associated with HCC dysregulation and response to adjuvant sorafenib. Then, we constructed a novel 11-messenger RNA predictive model by using ROC curves analysis, univariate Cox regression analysis, and LASSO Cox regression analysis. Furthermore, we validated the predictive values of the risk model in GSE14520 and TCGA-LIHC cohorts by using Kaplan-Meier survival analysis, multivariable Cox regression analysis, and decision curve analysis, respectively. RESULTS: The risk score model could identify patients with a high risk of HCC recurrence at the early stage and could predict the response of patients to adjuvant sorafenib. Patients with a high risk score had a worse recurrence rate in training cohorts (2-year: p < 0.0001, hazard ratio (HR): 4.658, confidence interval 95% CI [2.895-7.495]; 5-year: p < 0.0001, HR: 3.251, 95% CI [2.155-4.904]) and external validation cohorts (2-year: p < 0.001, HR: 3.65, 95% CI [2.001-6.658]; 5-year: p < 0.001, HR: 3.156, 95% CI [1.78-5.596]). The AUC values of the risk score model for predicting tumor early recurrence were 0.746 and 0.618, and that of the risk score model for predicting the response to adjuvant sorafenib were 0.722 and 0.708 in the different cohort, respectively. Multivariable Cox regression analysis and decision curve analysis also showed that the risk score model was superior to and independent of other clinicopathologic characteristics. Moreover, the risk score model had excellent abilities to predict the overall survival and HCC recurrence of patients with the same tumor stage category. CONCLUSIONS: Our risk model is a reliable and superior predictive tool. With this model, we could optimize the risk stratification based on early tumor recurrence and could evaluate the response of patients to adjuvant sorafenib after liver resection.

Clinical and virological course of patients with coronavirus disease 2019 in Jiangsu province, China: a retrospective, multi-center cohort study.

BACKGROUND: The clinical and virological course of patients with coronavirus disease 2019 (COVID-19) are lacking. We aimed to describe the clinical and virological characteristics of COVID-19 patients from 10 designated hospitals in 10 cities of Jiangsu province, China. The factors associated with the clearance of SARS-CoV-2 were investigated. METHODS: A total of 328 hospitalized patients with COVID-19 were retrospectively recruited. The epidemiological, clinical, laboratory, radiology and treatment data were collected. The associated factors of SARS-CoV-2 clearance were analyzed. RESULTS: The median duration of hospitalization was 16.0 days (interquartile range [IQR] 13.0-21.0 days). On multivariate Cox regression analysis, age > 60 years (hazard ratio [HR] 0.643, 95% confidence interval [CI] 0.454-0.911, P = 0.013) was associated with the delayed SARS-CoV-2 clearance, while the atomized inhalation of interferon α-2b could improve the clearance of SARS-CoV-2 (HR, 1.357, 95% CI 1.050-1.755, P = 0.020). Twenty-six (7.9%) patients developed respiratory failure and 4 (1.2%) patients developed ARDS. Twenty (6.1%) patients were admitted to the ICU, while no patient was deceased. CONCLUSIONS: Our study found that age > 60 years was associated with the delayed SARS-CoV-2 clearance, while treated with atomized inhalation of interferon α-2b could promote the clearance of SARS-CoV-2.

Delayed SARS-CoV-2 Clearance in Patients with Obesity.

OBJECTIVE: The present study aimed to investigate the correlation between obesity and virus persistence in patients with COVID-19. DESIGN AND METHODS: A total of 57 patients with laboratory-confirmed COVID-19 were admitted to two clinical centers, and data were analyzed retrospectively. Among them, 18 patients with body mass index (BMI) ≥ 25 kg/m2 were diagnosed with obesity, and dynamics of viral replication were compared. RESULTS: Eighteen patients were diagnosed with obesity. The correlations between BMI and white blood cell, C-reactive protein, and cycle threshold (Ct) values of ORF1ab were not significant (all P > 0.05). On day 7 after admission, virus clearance was achieved in 13 (33.3%) patients with BMI < 25 kg/m2 and 5 (27.8%) patients with BMI ≥ 25 kg/m2 (χ2 = 0.176, P =0.68). On day 14, the RNA tests were negative in 37 (94.9%) patients with BMI < 25 kg/m2 and 13 (72.2%) patients with BMI ≥ 25 kg/m2 (χ2 = 5.865, P = 0.03). Multivariable analysis showed that only BMI ≥ 25 kg/m2 (P = 0.02) was the independent risk factor for virus clearance on day 14. CONCLUSION: Obesity may affect the clearance of SARS-CoV-2, and BMI should be assessed in patients with COVID-19, although they are not seriously ill.

Risk of severe illness of COVID-19 patients with NAFLD and increased NAFLD fibrosis scores.

BACKGROUND: There is still little knowledge about the association of liver fibrosis with the clinical outcomes of COVID-19 patients with non-alcoholic fatty liver disease (NAFLD). The aim of the study was to determine the association of NAFLD fibrosis score (NFS)-determined liver fibrosis with clinical outcomes of COVID-19 patients with NAFLD. METHODS: The NAFLD was diagnosed by the Hepatic Steatosis Index (HSI) in the absence of other causes of chronic liver diseases. NFS was used to evaluate the severity of liver fibrosis. RESULTS: A total of 86 COVID-19 patients with NAFLD were included. The median age was 43.5 years, and 58.1% of patients were male. Thirty-eight (44.2%) patients had advanced liver fibrosis according to the NFS. Multivariate analysis indicated that concurrent diabetes (odds ratio [OR] 8.264, 95% confidence interval [CI] 1.202-56.830, p = 0.032) and advanced liver fibrosis (OR 11.057, 95% CI 1.193-102.439, p = 0.034) were independent risk factors of severe illness in COVID-19 patients with NAFLD. CONCLUSION: NAFLD patients with NFS-determined advanced liver fibrosis are at higher risk of severe COVID-19.

Nutritional status is closely related to the severity of COVID-19: a multi-center retrospective study.

INTRODUCTION: Nutritional status has been defined as an individual's health condition. The relationship between the progression of COVID-19 and Nutritional status is still unclear. We analyzed the clinical characteristics of 342 coronavirus disease 2019 (COVID-19) patients, and analyzed the relationship between the progression of COVID-19 and Nutritional status. METHODOLOGY: 342 COVID-19 were enrolled from ten different hospitals in China. The clinical characteristics were collected and analyzed. RESULTS: The body mass index (BMI) of the mild patients (Group A) was higher than those in severe patients (Group B) and critical patients (Group C); The lactate dehydrogenase (LDH) level of Group A was lower than those of the other two groups; Sex, age, and BMI, was strongly correlated with Clinical classification (CT); Among the laboratory test results, Neutrophil (NEU%), Aspartate aminotransferase (AST), LDH, and blood glucose (BG) were positively correlated with CT; Lymphocyte ( LYM%), Platelet (PLT), Albumin (ALB), and Creatinine (Cr) were negatively correlated with CT. BMI, NEU%, LYM%, ALB, Cr, and PLT are all protective factors that affect CT. CONCLUSION: People with poor nutritional status (lower BMI and ALB) have a higher risk of developing severe disease after infection with SARS-CoV-2. In the clinical treatment of COVID-19, individualized nutritional support is very important for the rehabilitation of patients.