Literature DB >> 33932113

Derivation and validation of a two-variable index to predict 30-day outcomes following heart failure hospitalization.

Tauben Averbuch1,2, Shun Fu Lee2, Mamas Andreas Mamas3, Urun Erbas Oz4, Richard Perez4, Stuart James Connolly1,2, Dennis Tien-Wei Ko5,6, Harriette Gillian Christine Van Spall1,2,4,7.   

Abstract

BACKGROUND: The LACE index-length of stay (L), acuity (A), Charlson co-morbidities (C), and emergent visits (E)-predicts 30-day outcomes following heart failure (HF) hospitalization but is complex to score. A simpler LE index (length of stay and emergent visits) could offer a practical advantage in point-of-care risk prediction. METHODS AND
RESULTS: This was a sub-study of the patient-centred care transitions in HF (PACT-HF) multicentre trial. The derivation cohort comprised patients hospitalized for HF, enrolled in the trial, and followed prospectively. External validation was performed retrospectively in a cohort of patients hospitalized for HF. We used log-binomial regression models with LACE or LE as the predictor and either 30-day composite all-cause readmission or death or 30-day all-cause readmission as the outcomes, adjusting only for post-discharge services. There were 1985 patients (mean [SD] age 78.1 [12.1] years) in the derivation cohort and 378 (mean [SD] age 73.1 [13.2] years) in the validation cohort. Increments in the LACE and LE indices were associated with 17% (RR 1.17; 95% CI 1.12, 1.21; C-statistic 0.64) and 21% (RR 1.21; 95% CI 1.15, 1.26; C-statistic 0.63) increases, respectively, in 30-day composite all-cause readmission or death; and 16% (RR 1.16; 95% CI 1.11, 1.20; C-statistic 0.64) and 18% (RR 1.18; 95% CI 1.13, 1.24; C-statistic 0.62) increases, respectively, in 30-day all-cause readmission. The LE index provided better risk discrimination for the 30-day outcomes than did the LACE index in the external validation cohort.
CONCLUSIONS: The LE index predicts 30-day outcomes following HF hospitalization with similar or better performance than the more complex LACE index.
© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Entities:  

Keywords:  Heart failure; Readmission; Risk prediction

Year:  2021        PMID: 33932113     DOI: 10.1002/ehf2.13324

Source DB:  PubMed          Journal:  ESC Heart Fail        ISSN: 2055-5822


  2 in total

1.  Machine learning and LACE index for predicting 30-day readmissions after heart failure hospitalization in elderly patients.

Authors:  Hernan Polo Friz; Valentina Esposito; Giuseppe Marano; Laura Primitz; Alice Bovio; Giovanni Delgrossi; Michele Bombelli; Guido Grignaffini; Giovanni Monza; Patrizia Boracchi
Journal:  Intern Emerg Med       Date:  2022-06-04       Impact factor: 5.472

2.  Clinical phenogroups are more effective than left ventricular ejection fraction categories in stratifying heart failure outcomes.

Authors:  Andreas B Gevaert; Semra Tibebu; Mamas A Mamas; Neal G Ravindra; Shun Fu Lee; Tariq Ahmad; Dennis T Ko; James L Januzzi; Harriette G C Van Spall
Journal:  ESC Heart Fail       Date:  2021-05-02
  2 in total

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