Predictive factors of hospital stay in patients with odontogenic maxillofacial infections: the role of C-reactive protein. Issue 4 (May 2017)

• Record Type: Journal Article
• Authors: Stathopoulos, P.; Igoumenakis, D.; Shuttleworth, J.; Smith, W.; Ameerally, P.
• Is Part Of: British journal of oral and maxillofacial surgery. Volume 55:Issue 4(2017)
• Page Start: 367
• Page End: 370
• Publication Date: 2017-05
• Subjects: odontogenic -- maxillofacial infections -- hospital stay -- C-reactive protein; Mouth -- Surgery -- Periodicals; Maxilla -- Surgery -- Periodicals; Face -- Surgery -- Periodicals; Surgery, Plastic -- Periodicals; Dentistry, Operative -- Periodicals; Face -- surgery -- Periodicals; Mouth -- surgery -- Periodicals; Maxilla -- surgery -- Periodicals; Surgery, Oral -- Periodicals; Oral Surgical Procedures -- Periodicals; Dentistry, Operative -- Periodicals; Bouche -- Chirurgie -- Périodiques; Maxillaire supérieur -- Chirurgie -- Périodiques; Face -- Chirurgie -- Périodiques; Chirurgie dentaire -- Périodiques; Dentistry, Operative; Face -- Surgery; Maxilla -- Surgery; Mouth -- Surgery; Surgery, Plastic; Electronic journals; Periodicals; 617.52059
• DOI: 10.1016/j.bjoms.2016.11.004
• Languages: English
• ISSNs: 0266-4356

Abstract

Abstract: To investigate whether clinical or laboratory variables on admission of patients with odontogenic infections are associated with a severe clinical course and a prolonged hospital stay, we hypothesised that specific factors such as the serum concentration of C-reactive protein (CRP) may act as predictors of the duration of stay. We designed a prospective patient-oriented study that included all those treated for maxillofacial infections of odontogenic origin in the Oral and Maxillofacial Surgery Department of Northampton General Hospital between November 2013 and December 2014. A total of 71 were enrolled. We found that the concentration of CRP was a significant predictor of hospital stay (p = 0.01). Its measurement on admission can predict the likely duration of stay of these patients and enable beds to be managed more efficiently.