The congestion index detected 70% of HF events at 2.58 alerts per patient-year whereas the standard weight rule detected 35% of HF events at 4.18 alerts per patient-year.

The study was conducted at a large tertiary healthcare center for one year in 2013. It included more than 61,000 patients age 18 or older. To come up with a clinical prediction rule for C. diff ...

Ahmad T, Desai NR, Yamamoto Y, et al. Alerting clinicians to 1-year mortality risk in patients hospitalized with heart failure: the REVEAL-HF randomized clinical trial. JAMA Cardiol.

Previous efforts to predict absolute risk of treatment-related cardiovascular diseases (CVDs) have mostly focused on childhood cancer survivors. We aimed to develop prediction models for risk of ...

While the hospitalization rate for heart failure for the whole cohort of more than 1 million patients was 5.39%, this incidence varied from 3% (in the least socially deprived) to 11% (in the most ...

Heart failure affects many millions globally but can be caused by multiple factors, requiring different treatments. Now, researchers have trained multiple machine learning models using a large ...

The Seattle Heart Failure Model. Prediction of survival in heart failure. Circulation 2006;113:1424-1433 4. Hawkins N, Petrie M, Jhund P et al. Heart failure and chronic obstructive pulmonary disease: ...

Implementation of our proposed risk prediction scale in clinical practice can contribute to optimized risk assessment and to the development of preventive strategies to reduce heart failure events ...