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Article

Regression Models to Study the Total LOS Related to Valvuloplasty

1
Department of Public Health, University of Naples “Federico II”, 80131 Naples, Italy
2
Department of Advanced Biomedical Sciences, University of Naples ‘Federico II’, 80131 Naples, Italy
3
Hospital Directorate, “San Giovanni di Dio e Ruggi d’Aragona” University Hospital of Salerno, 84125 Salerno, Italy
4
Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples “Federico II”, 80131 Naples, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2022, 19(5), 3117; https://doi.org/10.3390/ijerph19053117
Received: 6 January 2022 / Revised: 4 March 2022 / Accepted: 5 March 2022 / Published: 7 March 2022
Background: Valvular heart diseases are diseases that affect the valves by altering the normal circulation of blood within the heart. In recent years, the use of valvuloplasty has become recurrent due to the increase in calcific valve disease, which usually occurs in the elderly, and mitral valve regurgitation. For this reason, it is critical to be able to best manage the patient undergoing this surgery. To accomplish this, the length of stay (LOS) is used as a quality indicator. Methods: A multiple linear regression model and four other regression algorithms were used to study the total LOS function of a set of independent variables related to the clinical and demographic characteristics of patients. The study was conducted at the University Hospital “San Giovanni di Dio e Ruggi d’Aragona” of Salerno (Italy) in the years 2010–2020. Results: Overall, the MLR model proved to be the best, with an R2 value of 0.720. Among the independent variables, age, pre-operative LOS, congestive heart failure, and peripheral vascular disease were those that mainly influenced the output value. Conclusions: LOS proves, once again, to be a strategic indicator for hospital resource management, and simple linear regression models have shown excellent results to analyze it. View Full-Text
Keywords: valvuloplasty; length of stay; regression valvuloplasty; length of stay; regression
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MDPI and ACS Style

Scala, A.; Trunfio, T.A.; De Coppi, L.; Rossi, G.; Borrelli, A.; Triassi, M.; Improta, G. Regression Models to Study the Total LOS Related to Valvuloplasty. Int. J. Environ. Res. Public Health 2022, 19, 3117. https://doi.org/10.3390/ijerph19053117

AMA Style

Scala A, Trunfio TA, De Coppi L, Rossi G, Borrelli A, Triassi M, Improta G. Regression Models to Study the Total LOS Related to Valvuloplasty. International Journal of Environmental Research and Public Health. 2022; 19(5):3117. https://doi.org/10.3390/ijerph19053117

Chicago/Turabian Style

Scala, Arianna, Teresa Angela Trunfio, Lucia De Coppi, Giovanni Rossi, Anna Borrelli, Maria Triassi, and Giovanni Improta. 2022. "Regression Models to Study the Total LOS Related to Valvuloplasty" International Journal of Environmental Research and Public Health 19, no. 5: 3117. https://doi.org/10.3390/ijerph19053117

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