ArticleMicroorganisms2021
The Pathogenic Bacteria of Deep Neck Infection in Patients with Type 1 Diabetes, Type 2 Diabetes, and Without Diabetes from Chang Gung Research Database.
Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Temporal Trends in Pathogens and Clinical Outcomes of Adult Deep Neck Infections: An 18-Year Multicenter Cohort Study of 12,063 Cases.Microorganisms · 2026Article
- Biological assessment of Coccinia grandis leaf and Lupeol against β-lactam resistant Klebsiella pneumoniae through integrated in-silico and in-vitro studies.Scientific reports · 2026Article
- Risk factors and preventive measures for severe orofacial and neck infections: a three-year observational study.BMC oral health · 2025Observational
- Poor Glycemic Control in Carbapenem-ResistantInfection and drug resistance · 2025Article
- Microbiological analysis and antibiotic selection strategy in neck abscesses among patients with diabetes mellitus.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024Article
- A rare culprit:IDCases · 2024Article
- The Bacterial Compositions of Nasal Septal Abscess in Patients with or without Diabetes.Life (Basel, Switzerland) · 2022Article
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Authors and funding
9 authors.
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Abstract
Deep neck infection (DNI) is a lethal emergent condition. Patients with types 1 and 2 diabetes mellitus (T1DM and T2DM, respectively) are predisposed to DNI and have poorer prognoses. The mainstay of the treatment is surgical drainage and antibiotics; however, the pathogenic bacteria of T1DM-DNI have not been studied before. We obtained the data of 8237 patients with DNI who were hospitalized from 2004 to 2015 from the Chang Gung Research Database, which contains multi-institutional medical records in Taiwan. Using diagnostic codes, we classified them into T1DM-DNI, T2DM-DNI, and non-DM-DNI and analyzed their pathogenic bacteria, disease severity, treatment, and prognosis. The top three facultative anaerobic or aerobic bacteria of T1DM-DNI were
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