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- Title
Analysis of the Larissa Heart Failure Risk Score: Predictive Value in 9207 Patients Hospitalized for Heart Failure from a Single Center.
- Authors
Xanthopoulos, Andrew; Skoularigis, John; Briasoulis, Alexandros; Magouliotis, Dimitrios E.; Zajichek, Alex; Milinovich, Alex; Kattan, Michael W.; Triposkiadis, Filippos; Starling, Randall C.
- 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.
- Subjects
CLEVELAND Clinic Foundation; HEART failure patients; DISEASE risk factors; HEART failure; ERYTHROCYTES; ELECTRONIC health records
- Publication
Journal of Personalized Medicine, 2023, Vol 13, Issue 12, p1721
- ISSN
2075-4426
- Publication type
Article
- DOI
10.3390/jpm13121721