Publications by authors named "A Heurgue"
Background And Aims: A limited number of drugs are used as standard or alternative therapies in autoimmune hepatitis (AIH). No specific recommendations are available for patients failing to respond to these therapies. We analyzed the efficacy and safety of infliximab in patients with AIH.
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- A study examined the risk of new thrombotic events in patients with non-cirrhotic portal vein thrombosis (NCPVT) linked to local factors after stopping anticoagulation therapy.
- Out of 154 patients assessed, a significant portion had high-risk prothrombotic factors, with new thrombotic events occurring in 17 patients during a median follow-up of 52 months.
- The results suggest that high-risk factors increase the likelihood of new thrombosis, while continuous anticoagulation treatment may reduce these risks effectively.
Background: In the phase III HIMALAYA study (NCT03298451) in unresectable hepatocellular carcinoma (uHCC), STRIDE (Single Tremelimumab Regular Interval Durvalumab) significantly improved overall survival (OS) versus sorafenib; durvalumab monotherapy was noninferior to sorafenib for OS. Results reported herein are from a 4-year updated OS analysis of HIMALAYA.
Patients And Methods: Participants with uHCC and no previous systemic treatment were randomized to STRIDE (n = 393), durvalumab (n = 389), or sorafenib (n = 389).
Background And Aims: Since the introduction of SARS-CoV-2 vaccines, several cases of vaccine-induced immune thrombocytopenia and thrombosis (VITT) have been described, especially cerebral vein thrombosis. We aimed to retrospectively collect all new cases of acute onset first or recurrent splanchnic vein thrombosis (SVT) following a recent SARS-CoV-2 vaccination within the Vascular Liver Disease Group network.
Approach And Results: New cases of SVT were identified from April 2021 to April 2022; follow-up was completed on December 31, 2022.
Background: Clinical benefits of atezolizumab plus bevacizumab (atezolizumab-bevacizumab) are observed only in a subset of patients with hepatocellular carcinoma and the development of biomarkers is needed to improve therapeutic strategies. The atezolizumab-bevacizumab response signature (ABRS), assessed by molecular biology profiling techniques, has been shown to be associated with progression-free survival after treatment initiation. The primary objective of our study was to develop an artificial intelligence (AI) model able to estimate ABRS expression directly from histological slides, and to evaluate if model predictions were associated with progression-free survival.
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