Search results for "Risk Prediction"

Results 1 - 10 of about 48 for "Risk Prediction".

Accurate risk prediction models exist for CKD patients, but more are needed

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 riskā€“treatment
April 2013

In the News

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 ... Identifying low-risk patients is
March 2014

Studies examine ABCD2 score for stroke risk prediction

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
March 2010

Readmission risk prediction models

These are all steps that can be taken by hospitals and practices that come before the incorporationā€ of a readmission risk prediction model. ... Mr. Sellke and his team at IHIE are developing their own 30-day readmission risk prediction model based on
July 2014

New biomarker for ACS offers better mortality risk prediction than GRACE score

This finding remained significant even after adjustment for a commonly used risk-stratification tool, the Global Registry of Acute Coronary Events (GRACE) score (HR for 80th vs. ... They noted that accurate early risk stratification is important for
May 2018

Complicated UTI, stress ulcer prophylaxis, and more

They noted that accurate early risk stratification is important for making decisions about which patients require urgent interventional treatment, so this could be a useful biomarker. ... B-type natriuretic peptide (BNP) levels predicted mortality risk
November 2018

Hospital readmission risk prediction models perform poorly, review finds

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
October 2011

Predicting mortality

Cowen. Mortality-risk prediction rules have a number of potential applications. Perhaps the simplest is retrospective risk adjustment. ... Escobar said. He and his colleagues developed one of the most well- validated algorithms for such retrospective
July 2013

Risk prediction algorithms for afib patients compared

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.
December 2013

Letter to the Editor

This month's issue includes articles on improving nights and weekends care, choosing the best readmission risk prediction strategies, and establishing hospitalist preoperative care clinics. ... Researchers have been building risk prediction models,
July 2014

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