1
|
Xanthopoulos A, Skoularigis J, Briasoulis A, Magouliotis DE, Zajichek A, Milinovich A, Kattan MW, Triposkiadis F, Starling RC. Analysis of the Larissa Heart Failure Risk Score: Predictive Value in 9207 Patients Hospitalized for Heart Failure from a Single Center. J Pers Med 2023; 13:1721. [PMID: 38138948 PMCID: PMC10744973 DOI: 10.3390/jpm13121721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023] Open
Abstract
Early risk stratification is of outmost clinical importance in hospitalized patients with heart failure (HHF). We examined the predictive value of the Larissa Heart Failure Risk Score (LHFRS) in a large population of HHF patients from the Cleveland Clinic. A total of 13,309 admissions for heart failure (HF) from 9207 unique patients were extracted from the Cleveland Clinic's electronic health record system. For each admission, components of the 3-variable simple LHFRS were obtained, including hypertension history, myocardial infarction history, and red blood cell distribution width (RDW) ≥ 15%. The primary outcome was a HF readmission and/or all-cause mortality at one year, and the secondary outcome was all-cause mortality at one year of discharge. For both outcomes, all variables were statistically significant, and the Kaplan-Meier curves were well-separated and in a consistent order (Log-rank test p-value < 0.001). Higher LHFRS values were found to be strongly related to patients experiencing an event, showing a clear association of LHFRS with this study outcomes. The bootstrapped-validated area under the curve (AUC) for the logistic regression model for each outcome revealed a C-index of 0.64 both for the primary and secondary outcomes, respectively. LHFRS is a simple risk model and can be utilized as a basis for risk stratification in patients hospitalized for HF.
Collapse
Affiliation(s)
- Andrew Xanthopoulos
- Department of Cardiology, University General Hospital of Larissa, 41110 Larissa, Greece; (J.S.)
| | - John Skoularigis
- Department of Cardiology, University General Hospital of Larissa, 41110 Larissa, Greece; (J.S.)
| | - Alexandros Briasoulis
- Department of Clinical Therapeutics, Faculty of Medicine, Alexandra Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece;
| | - Dimitrios E. Magouliotis
- Unit of Quality Improvement, Department of Cardiothoracic Surgery, University of Thessaly, 41110 Larissa, Greece;
| | - Alex Zajichek
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44196, USA (M.W.K.)
| | - Alex Milinovich
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44196, USA (M.W.K.)
| | - Michael W. Kattan
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44196, USA (M.W.K.)
| | - Filippos Triposkiadis
- Department of Cardiology, University General Hospital of Larissa, 41110 Larissa, Greece; (J.S.)
| | - Randall C. Starling
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Kaufman Center for Heart Failure, Cleveland Clinic, Cleveland, OH 44195, USA
| |
Collapse
|