Literature DB >> 26779968

Prior hospital admission predicts thirty-day hospital readmission for heart failure patients.

Donald P McLaren, Roy Jones, Ronald Plotnik, Wojciech Zareba, Scott McIntosh, Jeffrey Alexis, Leway Chen, Robert Block, Charles J Lowenstein, Valentina Kutyifa1.   

Abstract

BACKGROUND: Hospital readmission is a significant health burden. More than 20% of heart failure (HF) patients are readmitted within 30 days of discharge leading to billions of dollars in health care expenditures. However, the role of prior hospital admissions to predict 30-day readmission for HF patients is not fully understood.
METHODS: We retrospectively analyzed HF hospitalization data for 4 years at a single medical center. Association between prior admission and 30-day readmission after HF hospitalization was assessed using a multivariate logistic regression model.
RESULTS: A total of 1,999 patients with index HF hospitalizations were identified, and 366 of them (18%) were readmitted within 30 days. The rate of readmission was 14%, 20%, and 33% in patients with 0, 1, ≥ 2 prior admissions. Patients with one prior admission had a 50% higher risk (confidence interval [CI] 1.10-2.05, p = 0.011) for readmission, while those with ≥ 2 prior admissions had a more than 3-fold increase in readmission (CI 2.27-4.09, p < 0.001), after adjustments for relevant clinical covariates. Prior hospital admission provided incremen-tal value in predicting readmissions, shown by the significant improvement in the readmission predictive model (C-statistics increased from 0.57 to 0.63). However, neither the length of stay nor recency of prior admission was a significant factor in predicting readmissions.
CONCLUSIONS: Hospital admission prior to an index HF hospitalization is associated with a significantly increased risk for 30-day hospital readmission and could be used to identify patients at high-risk for readmission and potentially target interventions to reduce the risk of readmission for these patients.

Entities:  

Keywords:  heart failure; predictive model; prior admissions; readmissions

Mesh:

Year:  2016        PMID: 26779968     DOI: 10.5603/CJ.a2016.0005

Source DB:  PubMed          Journal:  Cardiol J        ISSN: 1898-018X            Impact factor:   2.737


  5 in total

1.  Prognostic value of daytime heart rate, blood pressure, their products and quotients in chronic heart failure.

Authors:  Anna Kowalczys; Michał Bohdan; Marcin Gruchała
Journal:  Cardiol J       Date:  2017-11-13       Impact factor: 2.737

2.  Negative affectivity and social inhibition are associated with increased cardiac readmission in patients with heart failure: A preliminary observation study.

Authors:  Tin-Kwang Lin; Kai-Xun You; Chiu-Tien Hsu; Yi-Da Li; Chin-Lon Lin; Chia-Ying Weng; Malcolm Koo
Journal:  PLoS One       Date:  2019-04-19       Impact factor: 3.240

Review 3.  Mortality and Readmission Rates After Heart Failure: A Systematic Review and Meta-Analysis.

Authors:  Tian Lan; Yan-Hui Liao; Jian Zhang; Zhi-Ping Yang; Gao-Si Xu; Liang Zhu; Dai-Ming Fan
Journal:  Ther Clin Risk Manag       Date:  2021-12-07       Impact factor: 2.423

4.  Identifying prognostic factors for clinical outcomes and costs in four high-volume surgical treatments using routinely collected hospital data.

Authors:  N Salet; V A Stangenberger; F Eijkenaar; F T Schut; M C Schut; R H Bremmer; A Abu-Hanna
Journal:  Sci Rep       Date:  2022-04-07       Impact factor: 4.379

5.  Higher diuretic dosing within the first 72 h is predictive of longer length of stay in patients with acute heart failure.

Authors:  Hirotaka Kato; Perry Fisher; Dahlia Rizk
Journal:  Anatol J Cardiol       Date:  2018-08       Impact factor: 1.596

  5 in total

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