Etiology and Complications of Deep Neck Space Infections: A Hospital Based Retrospective Study

Desa, Carnegie; Tiwari, Markandeya; Pednekar, Sainath Chandramohan; Basuroy, Siddhartha; Rajadhyaksha, Aman; Savoiverekar, Siddhi

doi:10.1007/s12070-022-03428-z

Cited by 2 publications

(3 citation statements)

References 23 publications

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“…DNIs are highly associated with odontogenic infections as well as poor oral hygiene [33]. The factors connected to the progression of odontogenic infections to DNI are linked to public health, a lack of prevention, and insufficient medical management [34].…”

Section: Discussionmentioning

confidence: 99%

A Machine Learning Approach to Assess Patients with Deep Neck Infection Progression to Descending Mediastinitis: Preliminary Results

Chen,

Chin,

Chan

et al. 2023

Diagnostics

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Background: Deep neck infection (DNI) is a serious infectious disease, and descending mediastinitis is a fatal infection of the mediastinum. However, no study has applied artificial intelligence to assess progression to descending mediastinitis in DNI patients. Thus, we developed a model to assess the possible progression of DNI to descending mediastinitis. Methods: Between August 2017 and December 2022, 380 patients with DNI were enrolled; 75% of patients (n = 285) were assigned to the training group for validation, whereas the remaining 25% (n = 95) were assigned to the test group to determine the accuracy. The patients’ clinical and computed tomography (CT) parameters were analyzed via the k-nearest neighbor method. The predicted and actual progression of DNI patients to descending mediastinitis were compared. Results: In the training and test groups, there was no statistical significance (all p > 0.05) noted at clinical variables (age, gender, chief complaint period, white blood cells, C-reactive protein, diabetes mellitus, and blood sugar), deep neck space (parapharyngeal, submandibular, retropharyngeal, and multiple spaces involved, ≥3), tracheostomy performance, imaging parameters (maximum diameter of abscess and nearest distance from abscess to level of sternum notch), or progression to mediastinitis. The model had a predictive accuracy of 82.11% (78/95 patients), with sensitivity and specificity of 41.67% and 87.95%, respectively. Conclusions: Our model can assess the progression of DNI to descending mediastinitis depending on clinical and imaging parameters. It can be used to identify DNI patients who will benefit from prompt treatment.

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Section: Discussionmentioning

confidence: 99%

A Machine Learning Approach to Assess Patients with Deep Neck Infection Progression to Descending Mediastinitis: Preliminary Results

Chen,

Chin,

Chan

et al. 2023

Diagnostics

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“… 6–9 Common and potentially life-threatening complications range from 15% to 35% in patients with DNAs, 5 10 11 including airway compromise, descending mediastinitis, pericarditis, pneumonia, pleural empyema, carotid arterial erosion, meningitis, sepsis, respiratory distress, jugular vein thrombosis, disseminated intravascular coagulation and extracranial or intracranial extension of infection. 5 8–13 Therefore, the early detection of abscesses and thorough treatment are crucial.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4] Dental infection is the most common cause of DNAs, and the prevalence of DNAs has been reduced with the advent of broad-spectrum antibiotics. 5 However, DNAs remain serious, spread rapidly and are associated with lifethreatening complications. [6][7][8][9] Common and potentially life-threatening complications range from 15% to 35% in patients with DNAs, 5 10 11 including airway compromise, descending mediastinitis, pericarditis, pneumonia, pleural empyema, carotid arterial erosion, meningitis, sepsis, respiratory distress, jugular vein thrombosis, disseminated intravascular coagulation and extracranial or intracranial extension of infection.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound-guided puncture drainage versus surgical incision drainage for deep neck space abscesses: a protocol for a systematic review with meta-analysis and trial sequential analysis

Nie,

Du,

Chen

et al. 2024

BMJ Open

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IntroductionDeep neck space abscesses (DNAs) are serious surgical emergencies, associated with life-threatening complications. Surgical incision and drainage combined with antibiotics is the main treatment for DNAs, but drawbacks still exist. Ultrasound-guided puncture drainage is an alternative treatment for some DNAs with limited clinical evidence. Hence, the optimal drainage technique for the treatment of DNAs remains unclear. Therefore, we will perform a protocol for a systematic review and meta-analysis to identify the efficacy of ultrasound-guided puncture drainage for DNAs.Methods and analysisPubMed, Ovid Medline, Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang database, VIP database and trial registry databases will be searched from inception to September 2023 to identify randomised controlled trials of patients diagnosed with DNAs accepting ultrasound-guided puncture drainage. The primary outcome will be the length of hospital stay. The secondary outcomes will be the cure rate, incidence of retreatment, complications and overall cost to the healthcare system. Fixed-effects or random-effects model will be used according to the statistical heterogeneity. Mean differences or standardised mean differences with 95% CIs for continuous data and risk ratio (RR) with 95% CIs for dichotomous data. The Cochrane risk-of-bias tool 2, Grading of Recommendations Assessment, Development and Evaluation (GRADE) and trial sequential analysis will be conducted to evaluate the evidence quality and control the random errors. Funnel plots and Egger’s regression test will be performed to evaluate publication bias.Ethics and disseminationEthical approval was not required for this systematic review protocol. The results will be disseminated through peer-reviewed publications.PROSPERO registration numberCRD42023441031.

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Etiology and Complications of Deep Neck Space Infections: A Hospital Based Retrospective Study

Cited by 2 publications

References 23 publications

A Machine Learning Approach to Assess Patients with Deep Neck Infection Progression to Descending Mediastinitis: Preliminary Results

A Machine Learning Approach to Assess Patients with Deep Neck Infection Progression to Descending Mediastinitis: Preliminary Results

Ultrasound-guided puncture drainage versus surgical incision drainage for deep neck space abscesses: a protocol for a systematic review with meta-analysis and trial sequential analysis

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