… mortality or hospitalization owing to heart failure (HF) in patients with HF might lead to
intensified monitoring and treatment1-8 and help physicians, nurses and patients in making better …

… To derive and validate a 30-day mortality clinical prediction rule for heart failure based on
admission data and prior healthcare usage. A secondary objective was to determine the …

… models in order to establish the strongest variables, models, and model characteristics in
patients with heart failure … Table 3 shows the results of multivariable meta-regression analysis …

… the multivariable model (P>.20 for both models). The univariate analysis suggested that
women had greater risk of death than men; however, the sex disparities were not significant after …

… easily applicable prognostic model predicting the risk of death in patients with heart failure,
based … Several studies have used multivariate logistic regression to derive predictive models. …

… of all-cause mortality or cardiovascular hospitalization, or all-… these outcomes in a multivariate
model were used to develop … in the multivariate model: higher New York Heart Association …

… the literature for risk prediction models in patients with heart failure and to identify the …
multivariable risk prediction models for death, hospitalization, or both in patients with heart failure…

… The risk-prediction nomogram generated from the multivariable model is displayed in Table
5. The risk prediction nomogram is also available at the OPTIMIZE-HF website (13). This …

… in patients with heart failure persisted after multivariable … univariable and multivariable
Cox proportional hazards models for … In model 1, we included 17 variables from the Meta-Analysis …

… between anxiety and cardiac decompensation. Anxiety could focus patients’ attention on …
as some authors have found for patients with CHF or coronary heart disease. In that sense, Lee …