Current medical research and opinion
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Type 2 diabetes mellitus (T2DM) represents a leading cause of morbidity and premature mortality, low-grade inflammation being acknowledged as a key contributor to its development and progression. A tailored therapeutic approach, based on sensitive and specific biomarkers, could allow a more accurate analysis of disease susceptibility/prognostic and of the response to treatment. ⋯ Several of the assessed parameters may possess prognostic value for diabetics, especially when comparing subgroups with a different smoking history and could prove useful in clinical practice for assessing disease progress and therapeutic efficacy.
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Efforts toward eradicating the Hepatitis C virus (HCV) have advanced rapidly, due to the development of direct-acting antivirals (DAAs), especially with the appearance of pan-genotypic combinations. Real-world studies, in particular, have verified the efficacy and safety of DAA combinations documented in registration trials. This review documents the results of using DAA combinations in real-life settings in everyday clinical practice in Egypt, the country with the highest prevalence of HCV. ⋯ Most adverse reactions reported in real-world settings were mild and resulted in treatment discontinuation in only a minority of cases. Data from real-life studies covered most aspects of HCV management that were lacking after initial approval studies. More research is needed to tailor treatment and produce generic HCV combinations to overcome the residual limitations of the currently available DAAs.
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Multicenter Study
The importance of association of comorbidities on COVID-19 outcomes: a machine learning approach.
The individual influence of a variety of comorbidities on COVID-19 patient outcomes has already been analyzed in previous works in an isolated way. We aim to determine if different associations of diseases influence the outcomes of inpatients with COVID-19. ⋯ The interplay of several comorbidities may affect the outcome and complications of inpatients with COVID-19.
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Acute respiratory failure increases short-term mortality in sepsis patients. Hence, in this study, we aimed to develop a novel model for predicting the risk of hospital mortality in sepsis patients with acute respiratory failure. ⋯ The model shows a good performance in predicting the mortality risk of patients with sepsis-related acute respiratory failure. Hence, this model can be used to evaluate the short-term prognosis of critically ill patients with sepsis and acute respiratory failure.