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Bacteriological analysis based on disease severity and clinical characteristics in patients with deep neck space abscess

Authors :
Wenxiang Gao
Yu Lin
Huijun Yue
Weixiong Chen
Tianrun Liu
Jin Ye
Qian Cai
Fei Ye
Long He
Xingqiang Xie
Guoping Xiong
Jianhui Wu
Bin Wang
Weiping Wen
Wenbin Lei
Source :
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-11 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background Deep neck space abscess (DNSA) is a serious infection in the head and neck. Antibiotic therapy is an important treatment in patients with DNSA. However, the results of bacterial culture need at least 48 h, and the positive rate is only 30–50%, indicating that the use of empiric antibiotic treatment for most patients with DNSA should at least 48 h or even throughout the whole course of treatment. Thus, how to use empiric antibiotics has always been a problem for clinicians. This study analyzed the distribution of bacteria based on disease severity and clinical characteristics of DNSA patients, and provides bacteriological guidance for the empiric use of antibiotics. Methods We analyzed 433 patients with DNSA who were diagnosed and treated at nine medical centers in Guangdong Province between January 1, 2015, and December 31, 2020. A nomogram for disease severity (mild/severe) was constructed using least absolute shrinkage and selection operator–logistic regression analysis. Clinical characteristics for the Gram reaction of the strain were identified using multivariate analyses. Results 92 (21.2%) patients developed life-threatening complications. The nomogram for disease severity comprised of seven predictors. The area under the receiver operating characteristic curves of the nomogram in the training and validation cohorts were 0.951 and 0.931, respectively. In the mild cases, 43.2% (101/234) had positive culture results (49% for Gram-positive and 51% for Gram-negative strains). The positive rate of cultures in the patients with severe disease was 63% (58/92, 37.9% for Gram-positive, and 62.1% for Gram-negative strains). Diabetes mellitus was an independent predictor of Gram-negative strains in the mild disease group, whereas gas formation and trismus were independent predictors of Gram-positive strains in the severe disease group. The positivity rate of multidrug-resistant strains was higher in the severe disease group (12.1%) than in the mild disease group (1.0%) (P

Details

Language :
English
ISSN :
14712334
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.6f9aa678c7414d5fa7660802f45c93cc
Document Type :
article
Full Text :
https://doi.org/10.1186/s12879-022-07259-9