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Risk Factors and Survival After Premature Hospital Readmission in Frail Subjects with Delirium

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Hybrid Artificial Intelligent Systems (HAIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14001))

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Abstract

In this study we assess the mortality risk after 6 months, 1 year, and 2 years of follow-up in a sample of frail patients diagnosed with delirium who had been readmitted to hospital before 30 days after discharge (premature readmission). We compute Kaplan Meier estimates of survival probability functions at the selected censoring times for the premature readmission cohort versus the non-premature readmission cohort. Addtionally, we compute Independent Samples T-Test, Logistic Regression, Random Forest and Boosting Classification to indetify significant risk factors for premature hospital readmission. We find that premature hospital readmission is associated with increased mortality at 6 months, 1 year, and 2 years. The study identifies as high risk factor for premature hospital readmission the following ones: suffering congestive heart failure (CHF), diabetes, the use of anti-arrhythmic and antidepressant drugs as well as variables that are indicators of frailty such as older age, low weight, male sex, polypharmacy, lack of balance, weight loss measured through calf circumference, and high dependency to perform activities of daily living are indicative of higher risk of premature hospital readmission.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, Faculty of Computer Science, University of the Basque Country (UPV/EHU), Paseo Manuel de Lardizabal, 1, 20018, Donostia-San Sebastian, Spain

    Guillermo Cano-Escalera & Manuel Grana

  2. Computational Intelligence Group, University of the Basque Country (UPV/EHU), Donostia-San Sebastian, Spain

    Guillermo Cano-Escalera & Manuel Grana

  3. Department of Psychiatry, Hospital Universitario de Araba, Vitoria, Spain

    Ariadna Besga

  4. Biomedical Research Centre in Mental Health Network (CIBERSAM) G10, Madrid, Spain

    Ariadna Besga

Authors
  1. Guillermo Cano-Escalera
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  2. Manuel Grana
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  3. Ariadna Besga
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Corresponding author

Correspondence to Manuel Grana .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of Leon, León, Spain

    Hilde Pérez García

  3. University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martínez de Pisón

  4. Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. University of Burgos, Burgos, Spain

    Álvaro Herrero

  7. University of A Coruña, Ferrol - Coruña, Spain

    José Luis Calvo Rolle

  8. University of A Coruña, Ferrol - Coruña, Spain

    Héctor Quintián

  9. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Cano-Escalera, G., Grana, M., Besga, A. (2023). Risk Factors and Survival After Premature Hospital Readmission in Frail Subjects with Delirium. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_59

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  • DOI: https://doi.org/10.1007/978-3-031-40725-3_59

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  • Online ISBN: 978-3-031-40725-3

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