JAMA network open
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The longer-term risk of rehospitalizations and death of adult sepsis survivors is associated with index sepsis illness characteristics. ⋯ The prognostic score reported in this study uses 8 internationally feasible predictors measured during the index sepsis admission and provides clinically useful information on sepsis survivors' risk of unplanned rehospitalization or death in the first year after hospital discharge.
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Deep learning, a family of machine learning models that use artificial neural networks, has achieved great success at predicting outcomes in nonmedical domains. ⋯ In this study, deep learning RNN models outperformed conventional LR models, suggesting that RNN models could be used to identify patients with HCV-related cirrhosis with a high risk of developing HCC for risk-based HCC outreach and surveillance strategies.
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Women in medicine have been underrepresented at medical conferences; however, contributing factors have not been well studied. ⋯ In this cross-sectional study, the proportion of female speakers at medical conferences was lower than that of male speakers, and more than one-third of panels were composed of men only. Increasing the number of women on planning committees may help address gender inequities.
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Life expectancy has decreased in the US, driven largely by increases in drug poisoning, suicide, and alcohol-induced deaths. Assessing whether patterns of these causes differ is required to inform public health interventions. ⋯ This cross-sectional study found that demographic characteristics and geographic patterns varied by cause of death, suggesting that increasing death rates from these causes were not concentrated in 1 group or region. Specialized interventions tailored for the underlying drivers of each cause of death are urgently needed.
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Most patients with atrial fibrillation (AF) and coronary artery disease have indications for preventing stroke with oral anticoagulation therapy and preventing myocardial infarction and stent thrombosis with platelet inhibition. ⋯ These findings suggest that the ABC-bleeding risk score identifies patients with different risks of bleeding when combining aspirin and oral anticoagulation. The ABC-bleeding risk score may, therefore, be a useful tool for decision support concerning intensity and duration of combination antithrombotic treatment in patients with AF and coronary artery disease.