Chapter 6: SYNDROMIC PRIMARY HYPERPARATHYROIDISM.

Syndromic primary hyperparathyroidism has several features in common: younger age at diagnosis when compared with sporadic primary hyperparathyroidism, often synchronous or metachronous multi-glandular involvement, higher possibility of recurrence, association with other endocrine or extra-endocrine disorders, and suggestive family background with autosomal dominant inheritance. Hyperparathyroidism in multiple endocrine neoplasia type 1 is the most common syndromic hyperparathyroidism. It is often asymptomatic in adolescents and young adults, but may be responsible for recurrent lithiasis and/or bone loss.

Verifiable measurement-based quantum random sampling with trapped ions.

Quantum computers are now on the brink of outperforming their classical counterparts. One way to demonstrate the advantage of quantum computation is through quantum random sampling performed on quantum computing devices. However, existing tools for verifying that a quantum device indeed performed the classically intractable sampling task are either impractical or not scalable to the quantum advantage regime.

Resolution of Metabolic Dysfunction-associated Steatohepatitis With No Worsening of Fibrosis After Bariatric Surgery Improves 15-year Survival: A Prospective Cohort Study.

Background & Aims: The aim of this study was to investigate the consequences of the histological progression of metabolic dysfunction-associated steatohepatitis (MASH) and fibrosis on long-term survival after bariatric surgery.

Methods: From 1994 to 2021, 3028 patients at the University Hospital of Lille were prospectively included. Baseline liver biopsies were systematically performed with proposed follow-up biopsies 1 year after surgery, mainly in patients with MASH.

Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits considerable variability in clinical outcomes. Identifying specific phenotypic profiles within MASLD is essential for developing targeted therapeutic strategies. Here we investigated the heterogeneity of MASLD using partitioning around medoids clustering based on six simple clinical variables in a cohort of 1,389 individuals living with obesity.