Objectives: Descending necrotizing mediastinitis (DNM) is the most serious complication of deep neck infections (DNI). The objective of this retrospective study was to evaluate prognostic factors for DNM development in deep space neck infections.
Methods: The study enrolled patients admitted to the Emergency Center of Vojvodina with the diagnosis of multispace DNI with or without DNM either as the primary diagnosis or with discharged diagnosis after surgical treatment during 7-year period. The data were obtained from patient medical records.
Results: After final analysis total of 141 charts were randomized for statystical analysis, 124 charts in DNI and 17 in DNI + DNM groups. The most common cause of infection in both groups was odontogenic. On multivariate regression analysis of collected data infection of retropharyngeal, pretracheal and carotid space, C-reactive protein and procalcitonine values were statistically significant predictors for DNM development.
Conclusions: Treatment and diagnosis of DNM requires multidisciplinary approach, with prompt clinical and radiological examinations, empirical broad spectrum antibiotic therapy and radical surgical debridement. Multispace neck infection and especially infection of retropharyngeal, carotid and pretracheal spaces are the most sensitive predictors for DNM development in deep space neck infections.
Clinical Relevance: If the infection from deep neck spaces reach retropharyngeal, carotid or pretracheal space, the DNM is probable to occur.
Trial Registration: ClinicalTrials.gov ID NCT04865003. Date of registration 27.4.2021.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00405-021-07081-0 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Computational Methods for Predicting Chemical Reactivity of Covalent Compounds.
J Chem Inf Model
January 2025
Department of Medicinal Chemistry, School of Pharmacy, Fudan University, 826 Zhangheng Road, Shanghai 201203, People's Republic of China.
In recent decades, covalent inhibitors have emerged as a promising strategy for therapeutic development, leveraging their unique mechanism of forming covalent bonds with target proteins. This approach offers advantages such as prolonged drug efficacy, precise targeting, and the potential to overcome resistance. However, the inherent reactivity of covalent compounds presents significant challenges, leading to off-target effects and toxicities.
View Article and Find Full Text PDFSensitive and Deep Coverage Phosphoproteome Detection Method Reveals Spleen as a More Sensitive Organ than Liver in Early Detection of Liver Fibrosis-Related Signaling Protein Dysregulation.
Anal Chem
January 2025
Research Unit of Environmental Toxicology, School of Public Health, China Medical University, Shenyang 110122, China.
Although cathepsin S is transported from the spleen to the liver, where it cleaves collagen XVIII to produce endostatin and plays a critical role in the onset of early liver fibrosis, the relationship between liver fibrosis and spleen function remains underexplored. Given the roles of phosphorylation in disease, understanding its regulatory mechanism in early liver fibrosis is crucial. Despite advances in mass spectrometry enhancing phosphoproteomics, its application is limited by small clinical samples and subtle protein changes.
View Article and Find Full Text PDFCarbon information disclosure and corporate financial performance-Empirical evidence based on heavily polluting industries in China.
PLoS One
January 2025
Business School, Huaqiao University, Quanzhou, Fujian, China.
Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China's determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms.
View Article and Find Full Text PDFField-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks.
PLoS One
January 2025
Rice Department, Bangkok, Thailand.
Bacterial Leaf Blight (BLB) usually attacks rice in the flowering stage and can cause yield losses of up to 50% in severely infected fields. The resulting yield losses severely impact farmers, necessitating compensation from the regulatory authorities. This study introduces a new pipeline specifically designed for detecting BLB in rice fields using unmanned aerial vehicle (UAV) imagery.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!