There is growing evidence regarding the imaging findings of coronavirus disease 2019 (COVID-19) in lung ultrasounds, however, their role in predicting the prognosis has yet to be explored. Our objective was to assess the usefulness of lung ultrasound in the short-term follow-up (1 and 3 months) of patients with SARS-CoV-2 pneumonia, and to describe the progression of the most relevant lung ultrasound findings. We conducted a prospective, longitudinal and observational study performed in patients with confirmed COVID-19 who underwent a lung ultrasound examination during hospitalization and repeated it 1 and 3 months after hospital discharge. A total of 96 patients were enrolled. In the initial ultrasound, bilateral involvement was present in 100% of the patients with mild, moderate or severe ARDS. The most affected lung area was the posteroinferior (93.8%) followed by the lateral (88.7%). Subpleural consolidations were present in 68% of the patients and consolidations larger than 1 cm in 24%. One month after the initial study, only 20.8% had complete resolution on lung ultrasound. This percentage rose to 68.7% at 3 months. Residual lesions were observed in a significant percentage of patients who recovered from moderate or severe ARDS (32.4% and 61.5%, respectively). In conclusion, lung injury associated with COVID-19 might take time to resolve. The findings in this report support the use of lung ultrasound in the short-term follow-up of patients recovered from COVID-19, as a radiation-sparing, easy to use, novel care path worth exploring.
The abbreviated Barcelona Test (a-BT) is an instrument widely used in Spain and Latin American countries for general neuropsychological assessment. The purpose of the present study was to provide new norms for the a-BT as part of the Neuronorma project. The sample consisted of 346 healthy controls. Overlapping cell procedure and midpoint techniques were applied to develop the normative data. Age, education, and sex influences were studied. Results indicated that although age and education affected the score on this test, sex did not. Raw scores were transformed to age-adjusted scaled scores (SS(A)) based on percentile ranks. These SS(A) were also converted into age-education scaled scores using a linear regression model. Norms were presented on age-education scaled scores. Also, the a-BT cognitive profile was presented and should prove to be clinically useful for interpretation. These co-normed data will allow clinicians to compare scores from a-BT with all the tests included in the Neuronorma project.
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