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Frailty Related Survival Risks at Short and Middle Term of Older Adults Admitted to Hospital

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Hybrid Artificial Intelligent Systems (HAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13469))

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Abstract

In the context of healthy aging research, frailty is characterized by a progressive decline in the physiological functions of multiple body systems that lead to a more vulnerable condition for the development of various adverse events, such as falls, hospitalization and mortality. In this paper, we assess the impact of frailty on survival of older adults at three time horizonts: 1 month, 6 months, and 1 year, thus covering short and middle term survival. We consider frail and pre-frail patients recruited at hospital admission, according to the Fried phenotype. Cognitive status, comorbidities and pharmacology assessment was carried out at hospital admission and follow up survival was extracted from electronic health record (EHR). We compute Kaplan Meier estimates and log-rank test of survival probability functions at the selected censoring times for frail versus pre-frail patients. Additionally, we compute Cox regression for these censoring times over patient variables selected by independent sample t-test and logistic regression. We confirm that frailty predicts greater mortality at all censoring times. Significant hazard risks (HRs) identified in frail cohort were sex, age, weight, the occurrence of hospital readmission 30 days after discharge, sit and stand test scores, and the use of proton pump inhibitors, antiplatelet, quetiapine and paracetamol.

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Author information

Authors and Affiliations

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

    Guillermo Cano-Escalera & Manuel Graña

  2. Department of Neurology, Hospital Universitario de Araba, Vitoria, Spain

    Ariadna Besga

  3. Biomedical Research Centre in Mental Health Network (CIBERSAM) G10, Vitoria, Spain

    Ariadna Besga

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

Correspondence to Manuel Graña .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of León, León, Spain

    Hilde Pérez García

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

    Francisco Javier Martínez de Pisón

  4. University of Oviedo, Oviedo, Spain

    José Ramón Villar Flecha

  5. Data Science and Big Data Analytics Lab, Pablo de Olavide University, Sevilla, Spain

    Alicia Troncoso Lora

  6. Department of Computer Science, University of Oviedo, Oviedo, Spain

    Enrique A. de la Cal

  7. Applied Computational Intelligence, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  8. Universidad Pablo de Olavide, Seville, Spain

    Francisco Martínez Álvarez

  9. DIGIP, University of Bergamo, Dalmine, Bergamo, Italy

    Giuseppe Psaila

  10. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  11. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Cano-Escalera, G., Graña, M., Besga, A. (2022). Frailty Related Survival Risks at Short and Middle Term of Older Adults Admitted to Hospital. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_4

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  • DOI: https://doi.org/10.1007/978-3-031-15471-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15470-6

  • Online ISBN: 978-3-031-15471-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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