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J Cardiovasc Thorac Res. 2022;14(1): 11-17. doi: 10.34172/jcvtr.2022.08
PMID: 35620751        PMCID: PMC9106947

Original Article

Predictors of readmission in hospitalized heart failure patients

Nasim Naderi 1 ORCID, Maryam Chenaghlou 2 * ORCID, Marzieh Mirtajaddini 1, Zeinab Norouzi 1, Nasibeh Mohammadi 1,3, Ahmad Amin 1, Sepideh Taghavi 1, Hamidreza Pasha 1, Reza Golpira 1

Cited by CrossRef: 3


1- Son Y, Jang I. One‐year trajectories of self‐care behaviours and unplanned hospital readmissions among patients with heart failure: A prospective longitudinal study. Journal of Clinical Nursing. 2023;32(17-18):6427 [Crossref]
2- Chang W, Chen H. Trajectory patterns of self-care behaviour over 1 year provide nurses insights to tailor individualised care for patients with heart failure. Evid Based Nurs. 2024;27(2):67 [Crossref]
3- Norouzi S, Hajizadeh E, Jafarabadi M, Mazloomzadeh S. Analysis of the survival time of patients with heart failure with reduced ejection fraction: a Bayesian approach via a competing risk parametric model. BMC Cardiovasc Disord. 2024;24(1) [Crossref]
4- Sabouri M, Rajabi A, Hajianfar G, Gharibi O, Mohebi M, Avval A, Naderi N, Shiri I. Machine learning based readmission and mortality prediction in heart failure patients. Sci Rep. 2023;13(1) [Crossref]
5- Liu T, Wang B, Xiao S, Sun L, Zhu Z, Wang S, Li B, Yao J, Huang C, Ge W, Qian L, Lu Z, Pan Y. Correlation analysis between the static and the changed neutrophil-to-lymphocyte ratio and in-hospital mortality in critical patients with acute heart failure. Postgraduate Medicine. 2023;135(1):50 [Crossref]