The researchers extracted data on study design, population characteristics, modeling methods, metrics of model performance, risk of bias, and clinical usefulness. ... cardiovascular risk reduction, and the potential for identifying novel risk–treatment
These are all steps that can be taken by hospitals and practices that come before the incorporation” of a readmission risk prediction model. ... Kansagara, who co-authored a 2011 review published in JAMA of 26 unique hospital readmission prediction
Most risk prediction models for hospital readmissions do not perform well, according to a new systematic review. ... They looked for studies in English of readmission risk prediction models used for medical patients in both derivation and validation
French intervention reduced MRSA infections. The ABCD. 2. score is useful for prediction of stroke severity and risk after transient ischemic attack (TIA), according to findings from two recent studies. ... 2. ) , was developed to predict stroke risk and
Risk prediction] allows proper adjustment when comparing hospitals or providers within the hospital,” said Dr. ... Risk-prediction scores could identify these cases sooner than current quality assurance methods, he added.
New oral anticoagulants, risk prediction for atrial fibrillation, and more. Heart failure patients with elevated heart rates at hospital discharge may be at higher risk for all-cause and cardiovascular mortality ... higher risk for readmission for heart
a composite of death or nonfatal [myocardial infarction] over the GRACE score, which is widely recommended by clinical guidelines for accurate risk stratification,” the authors said. ... They noted that accurate early risk stratification is important
A score based on a multivariable risk prediction model may help predict Pneumocystis pneumonia (PCP) in ICU patients with hematologic malignancies and acute respiratory failure, a recent study found. ... The risk prediction model based on these factors
There was poor agreement among the tools in categorization of intermediate- and high-risk patients. ... Identifying low-risk patients is likely to become increasingly important for clinicians, the authors said.
said. Fall-risk prediction tools, even those validated in studies, have also proven ineffective. ... Hospitalists should also be involved in the discussion of fall risk and activity goals.