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Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study

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Biomedical and Computational Biology (BECB 2022)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13637))

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Abstract

Pathologies involving the heart valves lead to alterations that can be restrictive (valve stenosis) or incontinence (valve insufficiency). Valvular heart disease led often to make surgery, in the case of the subject or disease is symptomatic or severe, respectively. Operative risk is influenced by the type of valve lesions and by other factors such as age and comorbidities. The length of stay (LOS) is the parameter that is used to describe the path of care of a patient and is an index of hospital management. The LOS for patients undergoing percutaneous valvuloplasty was evaluated for the following study, and for these patients may be affected by different parameters. In fact, in this work a Multiple Linear Regression has been designed for predicting LOS for subjects under valvuloplasty at the University Hospital “San Giovanni di Dio and Ruggi d’Aragona” of Salerno (Italy) and at the A.O.R.N. “Antonio Cardarelli” of Naples (Italy).

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Authors and Affiliations

  1. Department of Public Health, University of Naples “Federico II”, Naples, Italy

    Emma Montella, Marta Rosaria Marino & Maria Triassi

  2. A.O.R.N. “Antonio Cardarelli”, Naples, Italy

    Massimo Majolo, Eliana Raiola, Giuseppe Russo & Giuseppe Longo

  3. “San Giovanni di Dio e Ruggi d’Aragona” University Hospital, Salerno, Italy

    Giovanni Rossi & Anna Borrelli

  4. Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples “Federico II”, Naples, Italy

    Maria Triassi

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  1. Emma Montella
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  2. Marta Rosaria Marino
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  3. Massimo Majolo
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Correspondence to Marta Rosaria Marino .

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  1. University of Technology Sydney, Sydney, NSW, Australia

    Shiping Wen

  2. Nanchang Hangkong University, Nanchang, China

    Cihui Yang

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Montella, E. et al. (2023). Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study. In: Wen, S., Yang, C. (eds) Biomedical and Computational Biology. BECB 2022. Lecture Notes in Computer Science(), vol 13637. Springer, Cham. https://doi.org/10.1007/978-3-031-25191-7_39

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