Neurolysis for ulnar nerve compression syndrome: a surgical technique for outpatients

Submitted by Ana Maria Fiscina Sampaio ([email protected]) on 2016-08-15T13:57:07Z No. of bitstreams: 1 Jambeiro Gorge ES Neurolise externa ....pdf: 447595 bytes, checksum: 49b1b8a04934d655844b61bfc804de76 (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2016-08-15T14:11:50Z (GMT) No. of bitstreams: 1 Jambeiro Gorge ES Neurolise externa ....pdf: 447595 bytes, checksum: 49b1b8a04934d655844b61bfc804de76 (MD5)Made available in DSpace on 2016-08-15T14:11:50Z (GMT). No. of bitstreams: 1 Jambeiro Gorge ES Neurolise externa ....pdf: 447595 bytes, checksum: 49b1b8a04934d655844b61bfc804de76 (MD5) Previous issue date: 1997Escola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilRibotEscola Bahiana de Medicina e Saúde Pública. Salvador, BA, BrasilRibotFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilEscola Bahiana de Medicina e Saúde Pública. Salvador, BA, BrasilApresenta-se uma técnica cirúrgica de neurólise externa do nervo ulnar com o uso de anestesia local e sem isquemia peroperatória. Crê-se que este procedimento representa boa opção de uso no tratamento ambulatorial em longa escala da neuropatia do nervo ulnar, especialmente em pacientes com hanseníaseThe authors present a simplified surgical technique for the treatment of ulnar compressive syndrome by using local anesthesia without ischemia in the neurolysis of the nerve. This procedure represents a new perspective as an outpatient surgery in the massive therapy of the handicapped, especially in Hansen’s disease

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use