Search Results for: Dalla presbifagia alla sarcopenia, il trattamento in medicina generale

Iniziativa prof.Manfellotto presentata al Panetary Health Verona

La “AI fear” coinvolge il 70% dei medici Usa e il 20% in Italia

Società medicina migrazioni, tra loro minore incidenza ma è allerta prevenzione

Società medicina migrazioni, tra loro minore incidenza ma è allerta prevenzione

Introduction
Surgery is a cost-effective public health intervention. Access to safe surgery is a basic human right. However, there are still significant disparities in the access to and safety of surgical and anaesthesia care between low-income and middle-income countries and high-income countries. The Latin American Surgical Outcomes Study in Paediatrics (LASOS-Peds) is an international, observational, 14-day cohort study to investigate the incidence of 30-day in-hospital complications following elective or emergency paediatric surgery in Latin American countries.

Methods and analysis
LASOS-Peds is a prospective, international, multicentre observational study of paediatric patients undergoing both elective and non-elective surgeries and procedures, inpatient and outpatient, including those performed outside the operating room. The primary outcome is the incidence of in-hospital postoperative complications up to 30 days after surgery. Secondary outcomes include intraoperative complications and the need for intensive care unit admission.

Ethics and dissemination
This study received approval from the Institutional Review Board of the coordinating centre (Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo) as well as from all the participating centres. The study results are expected to be published in peer-reviewed journals and disseminated at international conferences.

Trial registration number
NCT05934682.

Bene lo studio di fase III

‘Bisogna rivedere il loro ruolo in riforma medicina territorio’

‘In molti casi otteniamo la guarigione, ma la prevenzione è fondamentale’

Objectives
This study aims to determine whether machine learning can identify specific combinations of long-term conditions (LTC) associated with increased sarcopenia risk and hence address an important evidence gap—people with multiple LTC (MLTC) have increased risk of sarcopenia but it has not yet been established whether this is driven by specific combinations of LTC.

Design
Decision trees were used to identify combinations of LTC associated with increased sarcopenia risk. Participants were classified as being at risk of sarcopenia based on maximum grip strength of

‘In realtà Elle ha seguito protocolli e rientra nel 60% dei casi senza ricadute’

Oncologa, ‘La medicina olistica non cura, in realtà Elle ha seguito protocolli e rientra nel 60% dei casi senza ricadute’