Outcomes and factors associated with relapse of vaccine-induced liver injury after SARS CoV-2 immunization: A nationwide study.

INTRODUCTION AND OBJECTIVES: Different patterns of liver injury have been reported in association with the SARS-CoV-2 vaccines. The aim of this study was to describe a nationwide cohort of patients with SARS CoV-2 vaccine-induced liver injury, focusing on treatment and the evolution after further booster administration. PATIENTS AND METHODS: multicentre, retrospective-prospective study, including subjects who developed abnormal liver tests within 90 days after administration of SARS-CoV-2 vaccination. RESULTS: 47 cases were collected: 17 after prime dose and 30 after booster. Age was 57 years, 30 (63.8 %) were female, and 7 (14.9 %) had a history of prior autoimmune hepatitis (AIH). Most cases were non-severe, though 9 (19.1 %) developed acute liver injury or failure (ALF). Liver injury tended to be more severe in those presenting after a booster (p=0.084). Pattern of liver injury was hepatocellular (80.9 %), mixed (12.8 %) and 3 (6.4 %) cholestatic. Liver biopsy was performed on 33 patients; 29 showed findings of AIH. Forty-one (87.2 %) patients received immunosuppressants, mostly corticosteroids (35/41). One required liver transplantation and another died due to ALF. Immunosuppression was discontinued in 6/41 patients without later rebound. Twenty-five subjects received at least one booster and 7 (28.0 %) relapsed from the liver injury, but all were non-severe. Recurrence was less frequent among patients on immunosuppressants at booster administration (28.6 % vs. 88.9 %, p=0.007). CONCLUSIONS: SARS CoV-2 vaccine-induced liver injury is heterogeneous but mostly immune-mediated. Relapse of liver injury after re-exposure to vaccine is frequent (28.0 %) but mild. Immunosuppression at booster administration is associated with a lower risk of liver injury.

Effect of viral eradication with direct-acting antiviral agents on iron parameters in patients with chronic hepatitis c and hyperferritinemia.

Background: Patients with chronic hepatitis C are at increased risk for hyperferritinemia (HF). Abnormalities of serum iron parameters are frequently observed in patients with chronic hepatitis C (CHC). About a third of patients have increased iron parameters. Recently, studies on the effect of direct-acting antiviral agents (DAAs) in HCV eradication in patients with increased serum iron has been published, demonstrating the restoration of normal iron status. The aim of this study was to evaluate the effect of viral eradication with DDAs in patients with CHC and HF. Methods: Retrospective study conducted from January 2018 to December 2020 including patients treated with DAAs for HCV. Pre-treatment (PreT) and post-treatment (PostT) serum ferritin values were evaluated in all patients. Inclusion criteria: Pret HF (>400 µg/L); CHC patients treated with DAA achieving sustained viral response (SVR). Exclusion criteria: No PreT or PostT HF available; no SVR; lost patients. Results: From 621 patients treated with DAAs for CHC, 77 presented HF (12.40%), and 74 were included in the study. Fifty nine were men (79.73%) with a mean age 58.33, SD 8.68; PreT mean ferritin: 893.20 (SD 1037.09); PostT: 264.17 (SD 161.33); PreT mean transferrin saturation: 40.96 (SD 15.71); PostT: 29.82 (SD 11.17); PreT mean serum iron 152.32 (SD 62.07), PostT: 109.32 (SD 39.49). When we compared PreT and PostT iron parameters, significant statistical differences were present considering ferritin (p = 0.0000), transferrin saturation (p = 0.0000), and iron (p = 0.0002) determinations. Conclusions: SVR after DAAs for CHC induces a statistically significant reduction on iron parameters.

Non-invasive measurement of liver iron concentration by magnetic resonance imaging and its clinical usefulness.

Determination of liver iron concentration by magnetic resonance imaging (MRI) is becoming the new technique of choice for the diagnosis of iron overload in hereditary haemochromatosis and other liver iron surcharge diseases. Determination of hepatic iron concentration obtained by liver biopsy has been the gold standard for years. The development of MRI techniques, via signal intensity ratio methods or relaxometry, has provided a non-invasive and more accurate approach to the diagnosis of liver iron overload. This article reviews the available MRI methods for the determination of liver iron concentration and also evaluates the technique for the diagnosis and quantification of iron overload in different clinical practice scenarios.

Histological and serological features of acute liver injury after SARS-CoV-2 vaccination.

Background & Aims: Liver injury with autoimmune features after vaccination against severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is increasingly reported. We investigated a large international cohort of individuals with acute hepatitis arising after SARS-CoV-2 vaccination, focusing on histological and serological features. Methods: Individuals without known pre-existing liver diseases and transaminase levels ≥5x the upper limit of normal within 3 months after any anti-SARS-CoV-2 vaccine, and available liver biopsy were included. Fifty-nine patients were recruited; 35 females; median age 54 years. They were exposed to various combinations of mRNA, vectorial, inactivated and protein-based vaccines. Results: Liver histology showed predominantly lobular hepatitis in 45 (76%), predominantly portal hepatitis in 10 (17%), and other patterns in four (7%) cases; seven had fibrosis Ishak stage ≥3, associated with more severe interface hepatitis. Autoimmune serology, centrally tested in 31 cases, showed anti-antinuclear antibody in 23 (74%), anti-smooth muscle antibody in 19 (61%), anti-gastric parietal cells in eight (26%), anti-liver kidney microsomal antibody in four (13%), and anti-mitochondrial antibody in four (13%) cases. Ninety-one percent were treated with steroids ± azathioprine. Serum transaminase levels improved in all cases and were normal in 24/58 (41%) after 3 months, and in 30/46 (65%) after 6 months. One patient required liver transplantation. Of 15 patients re-exposed to SARS-CoV-2 vaccines, three relapsed. Conclusion: Acute liver injury arising after SARS-CoV-2 vaccination is frequently associated with lobular hepatitis and positive autoantibodies. Whether there is a causal relationship between liver damage and SARS-CoV-2 vaccines remains to be established. A close follow-up is warranted to assess the long-term outcomes of this condition. Impact and implications: Cases of liver injury after vaccination against severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) have been published. We investigated a large international cohort of individuals with acute hepatitis after SARS-CoV-2 vaccination, focusing on liver biopsy findings and autoantibodies: liver biopsy frequently shows inflammation of the lobule, which is typical of recent injury, and autoantibodies are frequently positive. Whether there is a causal relationship between liver damage and SARS-CoV-2 vaccines remains to be established. Close follow-up is warranted to assess the long-term outcome of this condition.

Liver iron concentration in dysmetabolic hyperferritinemia: Results from a prospective cohort of 276 patients.

INTRODUCTION AND OBJECTIVES: We aimed to study the liver iron concentration in patients referred for hyperferritinemia to six hospitals in the Basque Country and to determine if there were differences between patients with or without metabolic syndrome. PATIENTS AND METHODS: Metabolic syndrome was defined by accepted criteria. Liver iron concentration was determined by magnetic resonance imaging. RESULTS: We obtained the data needed to diagnose metabolic syndrome in 276 patients; a total of 135 patients (49%), 115/240 men (48%), and 20/36 women (55.6%) presented metabolic syndrome. In all 276 patients, an MRI for the determination of liver iron concentration (mean±SD) was performed. The mean liver iron concentration was 30.83±19.38 for women with metabolic syndrome, 38.84±25.50 for men with metabolic syndrome, and 37.66±24.79 (CI 95%; 33.44-41.88) for the whole metabolic syndrome group. In 141 patients (51%), metabolic syndrome was not diagnosed: 125/240 were men (52%) and 16/36 were women (44.4%). The mean liver iron concentration was 34.88±16.18 for women without metabolic syndrome, 44.48±38.16 for men without metabolic syndrome, and 43.39±36.43 (CI 95%, 37.32-49.46) for the whole non-metabolic syndrome group. Comparison of the mean liver iron concentration from both groups (metabolic syndrome vs non-metabolic syndrome) revealed no significant differences (p=0.12). CONCLUSIONS: Patients with hyperferritinemia and metabolic syndrome presented a mildly increased mean liver iron concentration that was not significantly different to that of patients with hyperferritinemia and non-metabolic syndrome.

Liver iron concentration is not raised in patients with dysmetabolic hyperferritinemia.

Background & aims. Hyperferritinemia (HF) is frequently present in patients with metabolic syndrome (MS). MS associated with HF is named dysmetabolic hyperferritinemia (DH). There are some publications that propose that DH is associated with a raised liveriron concentration (LIC). We studied the LIC in patients referred for HF to a secondary hospital to determine if there are differences between patients with or without MS. MATERIAL AND METHODS: We conducted a prospective study of 132 consecutive patients with HF from January to December 2010. The MS was defined by the International Diabetes Federation criteria (2005). LIC was determined by Magnetic resonance imaging (MRI). RESULTS: The number of patients for which there was enough data to determine MS was 97, out of which 54 had MS and 43 had no MS (NMS). In 54/97 patients, MRI for LIC determination was performed. From the MS group, 44 were men (27 underwent MRI) and 10 women (9 MRI). The mean LIC was 27.83 ± 20.90 ?mol/g for the MS group. In the NMS group, 36 were men (13 MRI), and 7 women (5 MRI). In 18 patients from the NMS group, LIC was determined by MRI. The mean LIC was 33.16 ± 19.61 ?mol/g in the NMS group. We compared the mean values of LIC from both groups (MS vs. NMS) and no significant differences were found (p = 0.067). CONCLUSION: Patients with DH present a mean LIC within normal values and their values do not differ from those of patients with HF but without MS.

Gender and plasma iron biomarkers, but not HFE gene mutations, increase the risk of colorectal cancer and polyps.

A cohort study of patients included in the Basque Country colorectal cancer (CRC) screening programme was carried out to assess the risk of adenomatous polyps and CRC (P-CRC) associated with HFE gene mutations, with gender and with iron biomarkers (serum ferritin (SF), iron (Fe) and transferrin saturation index (TSI)). Among 432 included patients (mean age 59.8 years), 263 were men (60.9 %) and 169 women (39.1 %). P-CRC were identified in 221 patients (51.2 %) and no polyps (NP) in 211 patients (48.8 %). HFE mutations were identified in 43.8 % of the patients. C282Y/wt genotypic frequency was 6.8 % in the P-CRC group and 1.4 % in the NP group (p < 0.05). The allelic frequency was 3.8 versus 1.2 % (p < 0.05). For laboratory, all three iron biomarkers showed a statistically significant difference: mean Fe, 91.29 ± 34 for P-CRC and 80.81 ± 30.59 for NP group. Mean TSI for P-CRC was 24.95 ± 8.90 and 22.74 ± 8.79 for NP group. Mean SF 308.09 ± 536.32 for P-CRC and 177.55 ± 159.95 for NP group. In a multivariate logistic regression analysis, only male gender (odds ratio (OR) = 2.04, 1.29-3.22), SF (OR = 1.001, 1.0004-1.003) and Fe (OR = 1.01, 1.004-1.02) were related with the presence of CRC and adenoma. Men gender and raised serum iron biomarkers increase the risk of P-CRC.

Measurement of liver iron concentration by MRI is reproducible.

PURPOSE: The objectives were (i) construction of a phantom to reproduce the behavior of iron overload in the liver by MRI and (ii) assessment of the variability of a previously validated method to quantify liver iron concentration between different MRI devices using the phantom and patients. MATERIALS AND METHODS: A phantom reproducing the liver/muscle ratios of two patients with intermediate and high iron overload. Nine patients with different levels of iron overload were studied in 4 multivendor devices and 8 of them were studied twice in the machine where the model was developed. The phantom was analysed in the same equipment and 14 times in the reference machine. RESULTS: FeCl3 solutions containing 0.3, 0.5, 0.6, and 1.2 mg Fe/mL were chosen to generate the phantom. The average of the intramachine variability for patients was 10% and for the intermachines 8%. For the phantom the intramachine coefficient of variation was always below 0.1 and the average of intermachine variability was 10% for moderate and 5% for high iron overload. CONCLUSION: The phantom reproduces the behavior of patients with moderate or high iron overload. The proposed method of calculating liver iron concentration is reproducible in several different 1.5 T systems.

Quantification of iron concentration in the liver by MRI.

OBJECTIVE: Measurement of liver iron concentration is a key parameter for the management of patients with primary and secondary haemochromatosis. Magnetic resonance imaging (MRI) has already demonstrated high accuracy to quantify liver iron content. To be able to improve the current management of patients that are found to have iron overload, we need a reproducible, standardised method that is, or can easily be made, widely available. METHODS: This article discusses the different MRI techniques and models to quantify liver iron concentration that are currently available and envisaged for the near future from a realistic perspective. RESULTS: T2 relaxometry methods are more accurate than signal intensity ratio (SIR) methods and they are reproducible but are not yet standardised or widely available. SIR methods, on the other hand, are very specific for all levels of iron overload and, what is more, they are also reproducible, standardised and already widely available. CONCLUSIONS: For these reasons, today, both methods remain necessary while progress is made towards universal standardisation of the relaxometry technique.

The use of liver biopsy evaluation in discrimination of idiopathic autoimmune hepatitis versus drug-induced liver injury.

UNLABELLED: Distinguishing drug-induced liver injury (DILI) from idiopathic autoimmune hepatitis (AIH) can be challenging. We performed a standardized histologic evaluation to explore potential hallmarks to differentiate AIH versus DILI. Biopsies from patients with clinically well-characterized DILI [n = 35, including 19 hepatocellular injury (HC) and 16 cholestatic/mixed injury (CS)] and AIH (n = 28) were evaluated for Ishak scores, prominent inflammatory cell types in portal and intra-acinar areas, the presence or absence of emperipolesis, rosette formation, and cholestasis in a blinded fashion by four experienced hepatopathologists. Histologic diagnosis was concordant with clinical diagnosis in 65% of cases; but agreement on final diagnosis among the four pathologists was complete in only 46% of cases. Interface hepatitis, focal necrosis, and portal inflammation were present in all evaluated cases, but were more severe in AIH (P < 0.05) than DILI (HC). Portal and intra-acinar plasma cells, rosette formation, and emperiopolesis were features that favored AIH (P < 0.02). A model combining portal inflammation, portal plasma cells, intra-acinar lymphocytes and eosinophils, rosette formation, and canalicular cholestasis yielded an area under the receiver operating characteristic curve (AUROC) of 0.90 in predicting DILI (HC) versus AIH. All Ishak inflammation scores were more severe in AIH than DILI (CS) (P ≤ 0.05). The four AIH-favoring features listed above were consistently more prevalent in AIH, whereas portal neutrophils and intracellular (hepatocellular) cholestasis were more prevalent in DILI (CS) (P < 0.02). The combination of portal inflammation, fibrosis, portal neutrophils and plasma cells, and intracellular (hepatocellular) cholestasis yielded an AUC of 0.91 in predicting DILI (CS) versus AIH. CONCLUSION: Although an overlap of histologic findings exists for AIH and DILI, sufficient differences exist so that pathologists can use the pattern of injury to suggest the correct diagnosis.

Liver iron concentration quantification by MRI: are recommended protocols accurate enough for clinical practice?

OBJECTIVE: To assess the accuracy of quantification of liver iron concentration (LIC) by MRI using the Rennes University (URennes) algorithm. METHODS: In the overall study period 1999-2006 the LIC in 171 patients was calculated with the URennes model and the results were compared with LIC measured by liver biopsy. RESULTS: The biopsy showed that 107 patients had no overload, 38 moderate overload and 26 high overload. The correlation between MRI and biopsy was r=0.86. MRI correctly classified 105 patients according to the various levels of LIC. Diagnostic accuracy was 61.4%, with a tendency to overestimate overload: 43% of patients with no overload were diagnosed as having overload, and 44.7% of patients with moderate overload were diagnosed as having high overload. The sensitivity of the URennes method for high overload was 92.3%, and the specificity for the absence of overload was 57.0%. MRI values greater than 170 µmol Fe/g revealed a positive predictive value (PPV) for haemochromatosis of 100% (n=18); concentrations below 60 µmol Fe/g had a negative predictive value (NPV) of 100% for haemochromatosis (n=101). The diagnosis in 44 patients with intermediate values remained uncertain. CONCLUSIONS: The assessment of LIC with the URennes method was useful in 74.3% of the patients to rule out or to diagnose high iron overload. The method has a tendency to overestimate overload, which limits its diagnostic performance.

Non-invasive methods for liver fibrosis prediction in hemochromatosis: One step beyond.

Advances in recent years in the understanding of, and the genetic diagnosis of hereditary hemochromatosis (HH) have changed the approach to iron overload hereditary diseases. The ability to use a radiologic tool (MRI) that accurately provides liver iron concentration determination, and the presence of non-invasive serologic markers for fibrosis prediction (serum ferritin, platelet count, transaminases, etc), have diminished the need for liver biopsy for diagnosis and prognosis of this disease. Consequently, the role of liver biopsy in iron metabolism disorders is changing. Furthermore, the irruption of transient elastography to assess liver stiffness, and, more recently, the ability to determine liver fibrosis by means of MRI elastography will change this role even more, with a potential drastic decline in hepatic biopsies in years to come. This review will provide a brief summary of the different non-invasive methods available nowadays for diagnosis and prognosis in HH, and point out potential new techniques that could come about in the next years for fibrosis prediction, thus avoiding the need for liver biopsy in a greater number of patients. It is possible that liver biopsy will remain useful for the diagnosis of associated diseases, where other non-invasive means are not possible, or for those rare cases displaying discrepancies between radiological and biochemical markers.