Biological factors predicting the length of hospital stay in odontogenic cellulitis

被引:9
|
作者
Begue, Louis [1 ]
Schlund, Matthias [2 ]
Raoul, Gwenael [2 ]
Ferri, Joel [2 ]
Lauwers, Ludovic [1 ]
Nicot, Romain [2 ]
机构
[1] Univ Lille, CHU Lille, Dept Oral & Maxillofacial Surg, F-59000 Lille, France
[2] Univ Lille, CHU Lille, Dept Oral & Maxillofacial Surg, INSERM U 1008,Controlled Drug Delivery Syst & Bio, F-59000 Lille, France
关键词
Odontogenic infection; Odontogenic cellulitis; Length of hospital stay; Hospitalization duration; C-reactive protein; White blood cell count; C-REACTIVE PROTEIN; LABORATORY RISK INDICATOR; SPACE INFECTIONS; ANTIINFLAMMATORY DRUGS; NECROTIZING FASCIITIS; OF-STAY; PROCALCITONIN; COST; METAANALYSIS; MANAGEMENT;
D O I
10.1016/j.jormas.2021.07.007
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
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 (r(s) = 0.556) and presurgical CRP level (r(s) = 0.579). There was a significant moderate correlation between postoperative length of stay and presurgical procalcitonin level (r(s) = 0.451), and a weak correlation between postoperative length of stay and presurgical white blood cell count (r(s) = 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 R-2 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. (C) 2021 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:303 / 308
页数:6
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