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Volume 15
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10.3390/nu15163648
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Article

Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study

by
Fabio Bioletto
1,
Andrea Evangelista
2,
Giovannino Ciccone
2,
Amelia Brunani
3,
Valentina Ponzo
1,
Enrica Migliore
2,
Eva Pagano
2,
Isabella Comazzi
1,
Fabio Dario Merlo
4,
Farnaz Rahimi
4,
Ezio Ghigo
1 and
Simona Bo
1,*
1
Department of Medical Sciences, University of Turin, 10126 Turin, Italy
2
Unit of Clinical Epidemiology, CPO, Città della Salute e della Scienza Hospital, 10126 Turin, Italy
3
Rehabilitation Medicine Unit, IRCCS Istituto Auxologico Italiano Piancavallo, 28824 Oggebbio, Italy
4
Dietetic Unit, Città della Salute e della Scienza Hospital, 10126 Turin, Italy
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(16), 3648; https://doi.org/10.3390/nu15163648
Submission received: 26 July 2023 / Revised: 14 August 2023 / Accepted: 18 August 2023 / Published: 20 August 2023
(This article belongs to the Section Nutrition and Obesity)
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Abstract

Adults with obesity have a higher risk of hospitalization and high hospitalization-related healthcare costs. However, a predictive model for the risk of readmission in patients with severe obesity is lacking. We conducted a retrospective cohort study enrolling all patients admitted for severe obesity (BMI ≥ 40 kg/m2) between 2009 and 2018 to the Istituto Auxologico Italiano in Piancavallo. For each patient, all subsequent hospitalizations were identified from the regional database by a deterministic record-linkage procedure. A total of 1136 patients were enrolled and followed up for a median of 5.7 years (IQR: 3.1–8.2). The predictive factors associated with hospital readmission were age (HR = 1.02, 95%CI: 1.01–1.03, p < 0.001), BMI (HR = 1.02, 95%CI: 1.01–1.03, p = 0.001), smoking habit (HR = 1.17, 95%CI: 0.99–1.38, p = 0.060), serum creatinine (HR = 1.22, 95%CI: 1.04–1.44, p = 0.016), diabetes (HR = 1.17, 95%CI: 1.00–1.36, p = 0.045), and number of admissions in the previous two years (HR = 1.15, 95%CI: 1.07–1.23, p < 0.001). BMI lost its predictive role when restricting the analysis to readmissions within 90 days. BMI and diabetes lost their predictive roles when further restricting the analysis to readmissions within 30 days. In conclusion, in this study, we identified predictive variables associated with early and long-term hospital readmission in patients with severe obesity. Whether addressing modifiable risk factors could improve the outcome remains to be established.
Keywords: obesity; hospitalization; hospital readmission; predictive model obesity; hospitalization; hospital readmission; predictive model

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MDPI and ACS Style

Bioletto, F.; Evangelista, A.; Ciccone, G.; Brunani, A.; Ponzo, V.; Migliore, E.; Pagano, E.; Comazzi, I.; Merlo, F.D.; Rahimi, F.; et al. Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study. Nutrients 2023, 15, 3648. https://doi.org/10.3390/nu15163648

AMA Style

Bioletto F, Evangelista A, Ciccone G, Brunani A, Ponzo V, Migliore E, Pagano E, Comazzi I, Merlo FD, Rahimi F, et al. Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study. Nutrients. 2023; 15(16):3648. https://doi.org/10.3390/nu15163648

Chicago/Turabian Style

Bioletto, Fabio, Andrea Evangelista, Giovannino Ciccone, Amelia Brunani, Valentina Ponzo, Enrica Migliore, Eva Pagano, Isabella Comazzi, Fabio Dario Merlo, Farnaz Rahimi, and et al. 2023. "Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study" Nutrients 15, no. 16: 3648. https://doi.org/10.3390/nu15163648

APA Style

Bioletto, F., Evangelista, A., Ciccone, G., Brunani, A., Ponzo, V., Migliore, E., Pagano, E., Comazzi, I., Merlo, F. D., Rahimi, F., Ghigo, E., & Bo, S. (2023). Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study. Nutrients, 15(16), 3648. https://doi.org/10.3390/nu15163648

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