No abstract

To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.

No abstract

Systemize the evidence of pulmonary ultrasound (PU) use in diagnosis, monitorization or hospital discharge criteria for patients with COVID-19. Systematic review of evidence which utilized PU for diagnosis, monitorization, or as hospital discharge criteria for COVID-19 patients confirmed by RT-PCR between December 1st of 2019 and July 5th of 2020 compared with thoracic radiograph (TR), thoracic tomography (CT) and RT-PCR. Type of study, motives for PU, population, type of transducer and protocol, results of PU, and quantitative or qualitative correlation with TR and/or CT and/or RT-PCR were evaluated. Were evaluated 28 articles with 418 patients. Average age 50 years (SD 25.1 years), 395 adults and 23 children. 143 were women, 13 pregnant women. The most frequent result was diffuse, coalescent and confluent B-lines. The plural line was irregular, interrupted, or thickened. The presence of subpleural consolidation was noduliform, lobar, or multilobar. There was good qualitative correlation between TR and CT and a quantitative correlation with CT of r=0.65 (p<0.001). 44 patients were evaluated only with PU. PU is a useful tool for diagnosis, monitorization, and criteria for hospital discharge for patients with COVID-19.

No abstract

-

No abstract

Fuente de financiamiento: los investigadores. Conflicto de interés: Ninguno declarado por los autores. Esta investigación forma parte de una tesis para obtener el título profesional de Médico Cirujano.