A new composite model including metabolic syndrome, alanine aminotransferase and cytokeratin-18 for the diagnosis of non-alcoholic steatohepatitis in morbidly obese patients.

BACKGROUND: Non-invasive approaches are useful to differentiate simple steatosis from non-alcoholic steatohepatitis (NASH) in obese and morbidly obese patients. AIM: To develop a new scoring system to diagnose definitive NASH. METHODS: Preoperative clinical and biological data including serum caspase 3-generated cytokeratin-18 fragments (CK18) and surgical liver biopsies were obtained from 464 morbidly obese patients who had undergone bariatric surgery. The cohort was divided into two groups: training group (n = 310) and validation group (n = 154). Definitive NASH was defined according to Kleiner's classification with a Non-alcoholic fatty liver disease Activity Score (NAS) ≥5. RESULTS: Alanine aminotransferase (ALT), CK18 fragments and the presence of metabolic syndrome were independent predictors for discriminating patients with NAS ≥5 in the training group. These three parameters were used to carry out a scoring system for the prediction of NAS ≥5. Whereas serum CK18 fragment alone had an area under the receiver operating characteristic (AUROC) curve = 0.74, AUROC curves of the scoring system were 0.88 and 0.83 in the training group and the validation group, respectively. CONCLUSION: A simple and non-invasive composite model (the Nice Model) including metabolic syndrome, ALT and CK18 fragments is able to predict accurately a non-alcoholic fatty liver disease activity score ≥5 in morbidly obese subjects.

[How the information system can contribute to the implementation of a risk management program in a hospital?]. / Comment le système d'information peut-il aider un programme de gestion des risques en établissement de santé?

Nowadays, information system is recognised as one of the key points of the management strategy. An information system is regarded conceptualised as a mean to link 3 aspects of a firm (structure, organisation rules and staff). Its design and implementation have to meet the objectives of medical and economical evaluation, especially risk management objectives. In order to identify, analyse, reduce and prevent the occurrence of adverse events, and also to measure the efficacy and efficiency of the production of care services, the design of information systems should be based on a process analysis in order to describe and classify all the working practices within the hospital. According to various methodologies (usually top-down analysis), each process can be divided into activities. Each activity (especially each care activity) can be described according to its potential risks and expected results. For care professionals performing a task, the access to official or internal guidelines and the adverse events reporting forms has also to be defined. Putting together all the elements of such a process analysis will contribute to integrate, into daily practice, the management of risks, supported by the information system.