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2023 | OriginalPaper | Buchkapitel

Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study

verfasst von : Emma Montella, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Giovanni Rossi, Anna Borrelli, Maria Triassi

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

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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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Titel: Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study
verfasst von: Emma Montella
Marta Rosaria Marino
Massimo Majolo
Eliana Raiola
Giuseppe Russo
Giuseppe Longo
Giovanni Rossi
Anna Borrelli
Maria Triassi
Verlag: Springer International Publishing
Buch: Biomedical and Computational Biology
Print ISBN: 978-3-031-25190-0

Electronic ISBN: 978-3-031-25191-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-25191-7_39

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