Internal and emergency medicine
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Observational Study
Patients with atrial fibrillation and common exclusion criteria from clinical trials are at high risk of clinical events: the Murcia AF Project II (MAFP-II) cohort study.
Some clinical characteristics and comorbidities in atrial fibrillation (AF) patients are exclusion criteria in randomized clinical trials (RCTs) investigating oral anticoagulants (OAC). However, these conditions are present also in everyday clinical practice patients. We compared the risk of adverse clinical outcomes between patients with and without RCT exclusion criteria. ⋯ In this AF cohort taking VKAs, more than one-third had at least one RCT exclusion criteria, which translates into higher risk of major bleeding, MACE, and death. These observations should be considered when translating RCTs results to AF patients for a proper and a more patient-centered management.
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Proton-pump inhibitors (PPI) are empirically used to treat asthma symptoms such as cough; however, the effectiveness of PPI on asthma exacerbation has not been well studied. We aimed to evaluate the relationship between PPI use and asthma exacerbation using a large administrative claims database in Japan. We conducted a self-controlled case series using the JMDC Claims Database (JMDC, Inc., Tokyo, Japan). ⋯ Stratified analyses based on PPI generation, the presence of GERD, asthma severity (except for severe asthma), and the number of allergic comorbidities yielded consistent results. PPI use was associated with a moderate decrease in asthma exacerbation, regardless of the patient profile. However, this effect was not as strong as the prevention of hospital admissions, and outcome events were not prevented in patients with severe asthma.
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The prevalence of pancreatic steatosis has increased and it has been linked to the rising prevalence of metabolic syndrome. Metabolic syndrome is known to have a strong connection with changes in intestinal microbiota. The aim of this study was to explore the relationship between pancreatic steatosis and the levels of trimethylamine N-oxide (TMAO) and butyrate. ⋯ TMAO levels were slightly higher in patients without steatosis than in those with steatosis; however, this was insignificant. Pancreatic steatosis is highly associated with alterations in levels of microbiota metabolites, indicating a potential role of these metabolites in the pathogenesis of the disease and subsequent therapeutic targets. Several other factors, such as age, hepatic steatosis, diabetes, and waist circumference, have also been identified as potential predictors of pancreatic steatosis.
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Weekend discharges occur less frequently than discharges on weekdays, contributing to hospital congestion. Artificial intelligence algorithms have previously been derived to predict which patients are nearing discharge based upon ward round notes. In this implementation study, such an artificial intelligence algorithm was coupled with a multidisciplinary discharge facilitation team on weekend shifts. ⋯ There was a corresponding higher absolute number of weekend discharges during the intervention period compared to the control period (P = 0.025). The studied intervention was associated with an increase in weekend discharges and economic analyses support this approach as being cost-effective. Further studies are required to examine the generalizability of this approach to other centers.
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The aim of this study is to evaluate the relationship between serum TLR (Toll Like Receptor) 4, 9 and Resolvin E1 levels and primary sarcopenia in geriatric patients and to compare the diagnostic accuracy of these biomarkers with the SARC-F score. A total of 88 patients aged 65 years and older were evaluated in the study. Comorbidities and geriatric syndromes were identified and patients with secondary sarcopenia were excluded. ⋯ TLR 9 and SARC-F score were both found to be associated with sarcopenia in multivariate logistic regression analysis [Odds ratio (OR) 3145, (95%) confidence interval (CI) 5.9-1,652,888.3, p = 0.012; OR 4.788, (95%) CI 2.148-10.672, p < 0.001, respectively]. ROC curve analysis showed that the area under the ROC curve (AUC) for TLR 9 and SARC-F was 0.896 (p < 0.001) and 0.943 (p < 0.001), respectively. Although this study supports the use of the SARC-F questionnaire in daily practice, serum TLR 9 levels may be an alternative to SARC-F in cases where SARC-F is not feasible.