Switch to a raltegravir-based antiretroviral regimen in people with HIV and non-alcoholic fatty liver disease: A randomized controlled trial.

INTRODUCTION: The effect of antiretroviral therapy (ART), particularly integrase strand transfer inhibitors (INSTIs), on non-alcoholic fatty liver disease (NAFLD) in people with HIV remains unclear. We evaluated the effect of switching non-INSTI backbone antiretroviral medications to raltegravir on NAFLD and metabolic parameters. MATERIALS AND METHODS: This was a single-centre, phase IV, open-label, randomized controlled clinical trial. People living with HIV with NAFLD and undetectable viral load while receiving a non-INSTI were randomized 1:1 to the switch arm (raltegravir 400 mg twice daily) or the control arm (continuing ART regimens not containing INSTI). NAFLD was defined as hepatic steatosis by controlled attenuation parameter ≥238 dB/m in the absence of significant alcohol use and viral hepatitis co-infections. Cytokeratin 18 was used as a biomarker of non-alcoholic steatohepatitis. Changes over time in outcomes were quantified as standardized mean differences (SMDs), and a generalized linear mixed model was used to compare outcomes between study arms. RESULTS: A total of 31 people with HIV (mean age 54 years, 74% male) were randomized and followed for 24 months. Hepatic steatosis improved between baseline and end of follow-up in both the switch (SMD -43.4 dB/m) and the control arm (-26.6 dB/m); the difference between arms was not significant. At the end of follow-up, aspartate aminotransferase significantly decreased in the switch arm compared with the control arm (SMD -9.4 vs. 5.5 IU/L). No changes in cytokeratin 18, body mass index, or lipids were observed between study arms. DISCUSSION: Switching to a raltegravir-based regimen improved aspartate aminotransferase but seemed to have no effect on NAFLD, body weight, and lipids compared with remaining on any other ART.

Increased Serum Fibroblast Growth Factor 23 Predicts Mortality in People With HIV/HCV Coinfection.

BACKGROUND: People with HIV and hepatitis C virus (HCV) coinfection experience excess mortality because of multiple causes. Identification of biomarkers associated with mortality beyond that attributable to liver fibrosis may be relevant for prognostication. Fibroblast growth factor 23 (FGF23), a phosphotropic hormone, predicts adverse outcomes in several chronic conditions. We aimed to investigate whether elevated FGF23 predicts all-cause mortality in patients with HIV/HCV coinfection. METHODS: We included patients with HIV/HCV coinfection from the Canadian Coinfection Cohort with available serum FGF23, fibrosis biomarker fibrosis-4 (FIB-4), and at least 1-year follow-up. Elevated FGF23 and advanced liver fibrosis were defined as FGF23 > 241 reference unit/mL and FIB-4 > 3.25, respectively. All-cause mortality was analyzed using survival analysis. The effect of advanced liver fibrosis as a mediator on mortality was estimated by mediation analysis. RESULTS: Three hundred twenty-one patients were included (24% with elevated FGF23, 19% with advanced liver fibrosis). During a mean follow-up period of 8.4 years, 34% of the cohort died. The incidence rate of all-cause mortality was higher in patients with elevated FGF23 (66.1 per 1000 person-years, 95% confidence interval 45.8 to 92.3) relative to patients without elevated FGF23 (37.5 per 1000 person-years, 95% confidence interval 29.6 to 46.9). After adjusting for potential confounders, elevated FGF23 was associated with significant direct and indirect effects (mediated through advanced liver fibrosis) on all-cause mortality, with 57% of deaths not mediated through advanced fibrosis. CONCLUSIONS: In patients with HIV/HCV coinfection, FGF23 may be used as prognostic biomarker for risk stratification accounting also for death causes other than those attributable to liver fibrosis.

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.

BACKGROUND: Cirrhosis is the result of advanced scarring (or fibrosis) of the liver, and is often diagnosed once decompensation with associated complications has occurred. Current non-invasive tests to detect advanced liver fibrosis have limited performance, with many indeterminate classifications. We aimed to identify patients with advanced liver fibrosis of all-causes using machine learning algorithms (MLAs). METHODS: In this retrospective study of routinely collected laboratory, clinical, and demographic data, we trained six MLAs (support vector machine, random forest classifier, gradient boosting classifier, logistic regression, artificial neural network, and an ensemble of all these algorithms) to detect advanced fibrosis using 1703 liver biopsies from patients seen at the Toronto Liver Clinic (TLC) between Jan 1, 2000, and Dec 20, 2014. Performance was validated using five datasets derived from patient data provided by the TLC (n=104 patients with a biopsy sample taken between March 24, 2014, and Dec 31, 2017) and McGill University Health Centre (MUHC; n=404). Patients with decompensated cirrhosis were excluded. Performance was benchmarked against aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis-4 index (FIB-4), non-alcoholic fatty liver disease fibrosis score (NFS), transient elastography, and an independent panel of five hepatology experts (MB, GS, HK, KP, and RSK). MLA performance was evaluated using the area under the receiver operating characteristic curve (AUROC) and the percentage of determinate classifications. FINDINGS: The best MLA was an ensemble algorithm of support vector machine, random forest classifier, gradient boosting classifier, logistic regression, and neural network algorithms, which achieved 100% determinate classifications (95% CI 100·0-100·0), an AUROC score of 0·870 (95% CI 0·797-0·931) on the TLC validation set (fibrosis stages F0 and F1 vs F4), and an AUROC of 0·716 (95% CI 0·664-0·766) on the MUHC validation set (fibrosis stages F0, F1, and F2 vs F3 and F4). The ensemble MLA outperformed all routinely used biomarkers and achieved comparable performance to hepatologists as measured by AUROC and percentage of indeterminate classifications in both the TLC validation dataset (APRI AUROC score 0·719 [95% CI 0·611-0·820], 83·7% determinate [95% CI 76·0-90·4]; FIB-4 AUROC score 0·825 [95% CI 0·730-0·912], 72·1% determinate [95% CI 63·5-80·8]) and the MUHC validation dataset (APRI AUROC score 0·618 [95% CI 0·548-0·691], 75·5% determinate [95% CI 71·5-79·2]; FIB-4 AUROC score 0·717 (95% CI 0·652-0·776), 75·5% determinate [95% CI 0·713-0·797]), and achieving only slightly lower AUROC than transient elastography (0·773 [95% CI 0·699-0·834] vs 0·826 [95% CI 0·758-0·889]). INTERPRETATION: We have shown that an ensemble MLA outperforms non-imaging-based methods in detecting advanced fibrosis across different causes of liver disease. Our MLA was superior to APRI, FIB-4, and NFS with no indeterminate classifications, while achieving performance comparable to an independent panel of experts. MLAs using routinely collected data could identify patients at high-risk of advanced hepatic fibrosis and cirrhosis among patients with chronic liver disease, allowing intervention before onset of decompensation. FUNDING: Toronto General Hospital Foundation.

FIB-4 Improves LSM-Based Prediction of Complications in Overweight or Obese Patients With Compensated Advanced Chronic Liver Disease.

Liver stiffness measurement (LSM) by transient elastography (TE) is able to stratify the risk of decompensation in patients with compensated advanced chronic liver disease (cACLD).1 Recently, we demonstrated that this holds true also in overweight or obese patients with cACLD due to nonalcoholic steatohepatitis (NASH) studied by the XL probe. An LSM cutoff of ≥21 kPa remained associated with a high risk of complications in this population.2.

Metabolic and cardiovascular complications after virological cure in hepatitis C: What awaits beyond.

The association between chronic hepatitis C (CHC) infection and extrahepatic manifestations (EHMs), particularly cardiometabolic diseases, has been extensively examined. However, there has still been insufficient evaluation for these EHMs after virological cure. Several multidirectional mechanisms have been proposed explaining the ability of hepatitis C virus (HCV) developing EHMs, cardiometabolic ones, as well as the effect of antiviral therapy to resolve these EHMs. Data on these manifestations after achieving sustained virologic response (SVR) are still conflicting. However, current evidence suggests that reversal of hepatic steatosis and its coexistent hypocholesterolemia after successful viral eradication led to unfavorable lipid profile, which increases cardiovascular disease (CVD) risk. Additionally, most observations showed that metabolic alterations, such as insulin resistance and diabetes mellitus (DM), undergo some degree of reduction after viral clearance. These changes seem HCV-genotype dependent. Interferon-based antiviral therapy and direct acting antiviral drugs were shown to minimize incidence of DM. Large epidemiological studies that investigated the effect of SVR on CVD showed great discrepancies in terms of results, with predominant findings indicating that CVD events decreased in patients with SVR compared to non-responders or untreated ones. In this review, we present a summary of the current knowledge regarding extrahepatic sequelae of CHC following SVR, which may have an impact on healthcare providers' clinical practice.

Non-alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta-analysis.

BACKGROUND AND AIM: Non-alcoholic fatty liver disease (NAFLD) and polycystic ovary syndrome (PCOS) are prevalent conditions sharing common pathogenic factors. We performed a systematic literature review and meta-analysis aiming to investigate the association between NAFLD and PCOS among premenopausal PCOS patients. METHODS: Relevant studies were systematically identified from scientific databases until 2019. We calculated pooled odds ratio (OR) using a random-effect model, and heterogeneity was addressed through I 2. Subgroup analyses and meta-regression for various covariates were performed. RESULTS: Of the 1833 studies retrieved, 23 studies with 7148 participants qualified for quantitative synthesis. The pooled result showed that women with PCOS had a 2.5-fold increase in the risk of NAFLD compared to controls (pooled OR 2.49, 95% confidence interval [CI] 2.20-2.82). In subgroup analyses comparing PCOS to controls, South American/Middle East PCOS patients had a greater risk of NAFLD (OR 3.55, 95% CI 2.27-5.55) compared to their counterpart from Europe (OR 2.22, 95% CI 1.85-2.67) and Asia (OR 2.63, 95% CI 2.20-3.15). Insulin resistance and metabolic syndrome were more frequent in the PCOS group (OR 1.97, 95% CI 1.44-2.71 and OR 3.39, 95% CI 2.42-4.76, respectively). Study quality and body mass index (BMI) were the only covariates that showed a relationship with the outcome in the meta-regression, with a regression coefficient of -2.219 (95% CI -3.927 to -0.511) and -1.929 (95% CI -3.776 to -0.0826), respectively. CONCLUSIONS: This meta-analysis indicates that premenopausal PCOS patients are associated with 2.5-fold increase in the risk of NAFLD, and BMI seems to be the main cofactor.

Prevalence and predictors of nonalcoholic fatty liver disease in South Asian women with polycystic ovary syndrome.

BACKGROUND: Polycystic ovary disease (PCOS) may be a risk factor for nonalcoholic fatty liver disease (NAFLD) due to common pathogenetic pathways, including insulin resistance and obesity. Both PCOS and NAFLD are more severe in South Asian women. Data on NAFLD in South Asian women with PCOS are lacking. AIM: To investigate prevalence and predictors of NAFLD and liver fibrosis in PCOS patients from South Asia. METHODS: We conducted an observational routine screening program by means of transient elastography (TE) with associated controlled attenuation parameter (CAP). NAFLD was defined as CAP ≥ 288 decibels per meter. Significant liver fibrosis (stage 2 and higher out of 4) was defined as TE measurement ≥ 8.0 kilopascals. Elevated alanine aminotransferase (ALT) was defined as ALT > 24 IU/L, as per upper limit of normal reported in South Asian women. Biochemical hyperandrogenism was defined as free androgen index > 5. Predictors of NAFLD were determined by logistic regression analysis. RESULTS: 101 PCOS patients (mean age 36.3 years) with no significant alcohol intake or viral hepatitis were included. Prevalence of NAFLD and significant liver fibrosis was 39.6% and 6.9%, respectively. Elevated ALT was observed in 40% and 11.5% of patients with and without NAFLD, respectively. After adjusting for duration of PCOS and insulin resistance measured by homeostasis model for assessment of insulin resistance, independent predictors of NAFLD were higher body mass index [adjusted odds ratio (aOR) 1.30, 95% confidence interval (CI): 1.13-1.52], hyperandrogenism (aOR: 5.32, 95%CI: 1.56-18.17) and elevated ALT (aOR: 3.54, 95%CI: 1.10-11.47). Lifetime cardiovascular risk was higher in patients with NAFLD compared to those without NAFLD (0.31 ± 0.11 vs 0.26 ± 0.13). CONCLUSION: Despite their young age, NAFLD diagnosed by TE with CAP is a frequent comorbidity in South Asian women with PCOS and is strongly associated with higher body mass index and hyperandrogenism. Non-invasive screening strategies could help early diagnosis and initiation of interventions, including counselling on weight loss, cardiovascular risk stratification and linkage to hepatology care where appropriate.

NASH in HIV.

PURPOSE OF REVIEW: Aging-related comorbidities, including liver disease, represent the main drivers of morbidity and mortality in people with HIV (PWH). Nonalcoholic fatty liver disease (NAFLD) seems a frequent comorbidity in aging PWH nowadays. NAFLD results from a fat deposition into the liver parenchyma that may evolve to nonalcoholic steatohepatitis (NASH), a state of hepatocellular inflammation and injury in response to the accumulated fat leading to liver fibrosis and cirrhosis. We here review the current status of knowledge regarding this emerging comorbidity in PWH. RECENT FINDINGS: Recent studies suggest that PWH are at higher risk for both NASH and NASH-related liver fibrosis. Several hypothesized pathogenic mechanisms may account for this finding, including increased metabolic comorbidities, hepatotoxic effect of lifelong antiretroviral therapy, and chronic HIV infection. In clinical practice, non-invasive diagnostic tests, such as serum biomarkers and elastography, may help identify patients with NASH-related fibrosis, thus improving risk stratification, and enhancing clinical management decisions, including early initiation of interventions such as lifestyle changes and potential pharmacologic interventions. Clinicians should remain informed of the frequency, significance, and diagnostic and management approach to NASH in PWH.