Risk Factors of Descending Necrotizing Mediastinitis in Deep Neck Abscesses.
Chih-Yu HuKuang-Hsu LienShih-Lung ChenKai-Chieh ChanPublished in: Medicina (Kaunas, Lithuania) (2022)
Background and Objectives : Cervical space infection could also extend to the mediastinum due to the anatomical vicinity. The mortality rate of descending necrotizing mediastinitis is 85% if untreated. The aim of this study was to identify risk factors for the progression of deep neck abscesses to descending necrotizing mediastinitis. Materials and Methods : We retrospectively reviewed the medical records of patients undergoing surgical treatment of deep neck abscesses from August 2017 to July 2022. Computed tomography (CT) was performed in all patients. Before surgery, lab data including hemoglobulin (Hb), white blood cell count, neutrophil percentage, C-reactive protein (CRP) level, and blood glucose were recorded. Patients' characteristics including gender, age, etiology, and presenting symptoms were collected. Hospitalization duration and bacterial cultures from the wound were also analyzed. Results : The C-reactive protein (CRP) level was higher in patients with a mediastinal abscess than in patients without a mediastinal abscess (340.9 ± 33.0 mg/L vs. 190.1 ± 72.7 mg/L) ( p = 0.000). The submandibular space was more commonly affected in patients without a mediastinal abscess ( p = 0.048). The retropharyngeal ( p = 0.003) and anterior visceral ( p = 0.006) spaces were more commonly affected in patients with a mediastinal abscess. Conclusions : Descending necrtotizing mediastinitis results in mortality and longer hospitalization times. Early detection of a mediastinal abscess on CT is crucial for treatment. Excluding abscesses of the anterior superior mediastinum for which transcervical drainage is sufficient, other mediastinal abscesses require multimodal treatment including ENT and thoracic surgery to achieve a good outcome.
Keyphrases
- end stage renal disease
- computed tomography
- ejection fraction
- lymph node
- risk factors
- chronic kidney disease
- newly diagnosed
- patients undergoing
- peritoneal dialysis
- magnetic resonance imaging
- prognostic factors
- blood glucose
- ultrasound guided
- mental health
- blood pressure
- cardiovascular disease
- insulin resistance
- patient reported outcomes
- depressive symptoms
- mesenchymal stem cells
- coronary artery disease
- machine learning
- stem cells
- weight loss
- electronic health record
- rare case
- atrial fibrillation
- big data