©The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Cardiol. Dec 26, 2015; 7(12): 902-911
Published online Dec 26, 2015. doi: 10.4330/wjc.v7.i12.902
Published online Dec 26, 2015. doi: 10.4330/wjc.v7.i12.902
Predicting mortality in patients with acute heart failure: Role of risk scores
Andrea Passantino, Domenico Scrutinio, Division of Cardiology and Cardiac Rehabilitation, “S. Maugeri” Foundation, IRCCS, Institute of Cassano Murge, 70020 Bari, Italy
Francesco Monitillo, Massimo Iacoviello, Cardiology Unit and Cardiothoracic Department, University Hospital, Policlinico Consorziale, 70124 Bari, Italy
Author contributions: Passantino A and Monitillo F performed the literature search, wrote the text and drew tables; Iacoviello M and Scrutinio D reviewed the text and made critical corrections and revisions until the submitted version was achieved.
Conflict-of-interest statement: The authors declare no conflicts of interest regarding this manuscript.
Correspondence to: Andrea Passantino, MD, Division of Cardiology and Cardiac Rehabilitation, “S. Maugeri” Foundation, IRCCS, Institute of Cassano Murge, km 2 Strada per Mercadante, 70020 Bari, Italy. andrea.passantino@fsm.it
Telephone: +39-08-07814293 Fax: +39-08-07814280
Received: June 26, 2015
Peer-review started: June 27, 2015
First decision: August 3, 2015
Revised: August 28, 2015
Accepted: October 23, 2015
Article in press: October 27, 2015
Published online: December 26, 2015
Processing time: 181 Days and 14 Hours
Peer-review started: June 27, 2015
First decision: August 3, 2015
Revised: August 28, 2015
Accepted: October 23, 2015
Article in press: October 27, 2015
Published online: December 26, 2015
Processing time: 181 Days and 14 Hours
Core Tip
Core tip: We present a review of the most relevant scores developed for the risk stratification of patients hospitalized for acute heart failure. For each score, the strengths, weaknesses, statistical pertinence and applicability in a real-world situation are evaluated. Furthermore, we revisit the general criteria and statistical metrics that should be considered in the design and analysis of prognostic studies.