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A clinical prediction score to determine surgical drainage of deep neck infection: A retrospective case-control study

Authors
Ban, Myung JinJung, Jae YeupKim, Jae WookPark, Ki NamLee, Seung WonKoh, Yoon WooPark, Jae Hong
Issue Date
Apr-2018
Publisher
Surgical Association
Keywords
Deep neck infection; Cellulitis; Abscess; Drainage; Prediction score
Citation
International Journal of Surgery, v.52, pp 131 - 135
Pages
5
Journal Title
International Journal of Surgery
Volume
52
Start Page
131
End Page
135
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6079
DOI
10.1016/j.ijsu.2018.02.024
ISSN
1743-9191
1743-9159
Abstract
Background: The objective of this retrospective study was to identify predictors of an abscess guaranteed to be surgically drained successfully in patients with deep neck infection (DNI). Materials and methods: We divided 97 consecutive patients with DNI into a drained group and a non-drained group. We then developed a clinical prediction score and validated it in 32 further patients. Results: Significant predictors of successful surgical drainage (i.e., positive for pus) were rim enhancement on computed tomography, C-reactive protein, erythrocyte sedimentation rate, and the neutrophil to lymphocyte ratio. The estimated cut-off values (excluding rim enhancement, which is a yes/no parameter) were 41.25, 56.5, and 8.02, respectively, and the clinical prediction score for each of the four other factors was determined to be 2, 2, 3, and 3 points, respectively. The cut-off score for the sum of these points was 6.5 and the scoring system had an accuracy of 87.5% in the validation group. Conclusion: Our clinical prediction scoring system can predict whether drainage is successful in patients with DNI.
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College of Medicine > Department of Otorhinolaryngology > 1. Journal Articles
College of Medicine > Department of Otorhinolaryngology > 1. Journal Articles

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