Medicina clinica
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Multicenter Study
Risk factors for drug-resistant epilepsy in adult patients.
Drug-resistant epilepsy occurs in about 30% of epilepsy patients. It has been suggested that etiology or seizure type would increase the risk of pharmacoresistance. This study aims to compare the characteristics of patients with drug-sensitive epilepsy with patients with drug-resistant epilepsy to identify risk factors. ⋯ Following other studies, we observed that factors such as epilepsy type, seizure type, structural etiology, abnormal MRI, and febrile seizure increased the risk for drug-resistance epilepsy, in our population.
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Randomized Controlled Trial
Comparison of two antifibrotic treatments for lung fibrosis in post-COVID-19 syndrome: A randomized, prospective study.
Although pulmonary fibrosis secondary to COVID-19 infection is uncommon, it can lead to problems if not treated effectively in the early period. This study aimed to compare the effects of treatment with nintedanib and pirfenidone in patients with COVID-19-related fibrosis. ⋯ In patients with interstitial fibrosis after COVID-19 pneumonia, both nintedanib and pirfenidone were observed to be effective in improving radiological score and PFT parameters. Nintedanib was more effective than pirfenidone in increasing exercise capacity and saturation values but caused more adverse drug effects.
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Environmental pollution are one of the most relevant risk factors to atherosclerosis. To know awareness about the importance of urban air pollution as a trigger for hospital admission due to acute coronary syndrome (ACS), this study analyzed levels of different gaseous air pollutants in the air and its correlation with number of ACS. ⋯ Levels of gaseous pollutants are related between them, being the levels of NO2, NO, and CO, positively correlated, and negatively correlated with levels of O3. Number of ACS hospital admission increases with levels of five air gaseous pollutants studied.
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Our purpose was to establish different cut-off points based on the lung ultrasound score (LUS) to classify COVID-19 pneumonia severity. ⋯ LUS is a good predictor of poor outcome and 28-days mortality in COVID-19. LUS≤7 cut-off point is associated with mild pneumonia, LUS 8-20 with moderate pneumonia and ≥20 with severe pneumonia. If a single cut-off point were used, LUS>15 would be the point which better discriminates mild from severe disease.