Bègue L, Schlund M, Raoul G, Ferri J, Lauwers L, Nicot R. Biological factors predicting the length of hospital stay in odontogenic cellulitis.
J Stomatol Oral Maxillofac Surg 2021;
123:303-308. [PMID:
34260983 DOI:
10.1016/j.jormas.2021.07.007]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/27/2021] [Accepted: 07/08/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE
The purpose of this study was to assess whether common biological factors are correlated with a longer hospital stay.
STUDY DESIGN
All patients having odontogenic cellulitis, treated from January 2019 to December 2019 at Lille University Hospital, and requiring surgical drainage under general anesthesia, were included, retrospectively. Data, such as length of hospital stay and biological factors, namely, C-reactive protein (CRP) level, Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score, and bacterial samples were collected.
RESULTS
Significant moderate-strong correlations were found between postoperative length of stay and patients' LRINEC score (rs = 0.556) and presurgical CRP level (rs = 0.579). There was a significant moderate correlation between postoperative length of stay and presurgical procalcitonin level (rs = 0.451), and a weak correlation between postoperative length of stay and presurgical white blood cell count (rs = 0.282). Linear regression verified CRP as an independent predictor of length of hospital stay, showing a significant linear relationship between them (p < 0.0001). A significant regression equation was found (F(1,65) = 27.089; p = 0.0001), with an R2 of 0.294.
CONCLUSION
In this study, CRP was the key biological predictor of length of hospital stay.
STATEMENT OF CLINICAL RELEVANCE
The ability to predict length of hospital stay and identify patients requiring intensive care management, using simple and inexpensive biological parameters (such as CRP), will enable more cost-effective care and efficient hospital bed management.
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