JAMA network open
-
Pain is a common symptom among patients with kidney disease. However, little is known about use of analgesics among patients aged 65 years or older with chronic kidney disease (CKD) who do not receive dialysis treatment. ⋯ Among Medicare patients with CKD, use of prescription analgesics, both opioid and NSAID, increased from 2006 to 2015. Optimizing pain management in a complex condition such as kidney disease should remain a priority for clinicians and researchers alike.
-
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.
-
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.
-
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.
-
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.