Literature DB >> 19673676

Are scores useful in advanced heart failure?

Livia Goldraich1, Luis Beck-da-Silva, Nadine Clausell.   

Abstract

Advanced heart failure (HF) is becoming an increasingly challenging problem as more patients with this disease are living longer, yet experiencing its inexorable progression. Adding to this complex matter, there are different views on how to define advanced HF, whereby an acute decompensation episode does not necessarily indicate advanced disease. Several scores have been described aiming at a better prognostic performance across the HF spectrum. These include the Heart Failure Survival Score, the Seattle Heart Failure Model, the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure predictive schemes, the Acute Decompensated Heart Failure National Registry regression tree discrimination, among others. Most scoring systems have been built based on outpatient populations or recently hospitalized HF subjects. The setting of advanced HF has not gained much attention as far as prognostication is concerned, and yet there lies potentially challenging decision-making situations where issues, such as heart transplantation, use of costly devices and end-of-life questions, are raised.

Entities:  

Mesh:

Year:  2009        PMID: 19673676     DOI: 10.1586/erc.09.68

Source DB:  PubMed          Journal:  Expert Rev Cardiovasc Ther        ISSN: 1477-9072


  3 in total

Review 1.  Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework.

Authors:  Andrew J Vickers; Angel M Cronin
Journal:  Semin Oncol       Date:  2010-02       Impact factor: 4.929

2.  The average lifespan of patients discharged from hospital with heart failure.

Authors:  David A Alter; Dennis T Ko; Jack V Tu; Therese A Stukel; Douglas S Lee; Andreas Laupacis; Alice Chong; Peter C Austin
Journal:  J Gen Intern Med       Date:  2012-05-02       Impact factor: 5.128

3.  Survival analysis of patients with heart failure: implications of time-varying regression effects in modeling mortality.

Authors:  Suely Ruiz Giolo; José Eduardo Krieger; Alfredo José Mansur; Alexandre Costa Pereira
Journal:  PLoS One       Date:  2012-06-08       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.