This study aims to describe the current epidemiological and etiological trends for deep neck space infections (DNIs) with an objective to understand the intricacies of their management. In this retrospective analytical study records of 52 patients with DNIs were reviewed. Patients having superficial abscess, peritonsillar abscess and abscess due to trauma/surgical procedure were excluded. Various epidemiological and etiological parameters (Demography, site, presentation, etiology, association with co-morbidities, bacteriology) and management guidelines (need for surgical interventions for DNIs and airway management, hospital stay duration, treatment outcome and complications) were reviewed and analyzed. Study recorded preponderance of DNIs in males (male:female = 1.6:1) and in younger generation (50% of patients presenting in first 2 decades). Commonest etiology being odontogenic infections (38.46%) followed by URTIs and tonsillopharyngitis (19.23%). Submandibular space involvement was noted in 42.3% cases followed by parapharyngeal space involvement in 21.15%. Nearly 55% cases of submandibular space involvement were because of odontogenic causes. 69.23% culture specimens reported no growth. 61.53% patients were diagnosed with anaemia. Up to 80% required open surgical drainage. All received broad spectrum antibiotics as a starting regime. No severe complications were recorded. Understanding the current epidemiological and etiological trends can help in early and definitive diagnosis of DNIs. Empirical starting treatment regime including broad spectrum antibiotics (till sensitivity pattern is availed) and maintaining low threshold for required surgical intervention are required to manage DNIs satisfactorily. Selected cases should be given conservative trials with close monitoring.
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http://dx.doi.org/10.1007/s12070-020-02174-4 | DOI Listing |
Biometrics
January 2025
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.
Effect modification occurs when the impact of the treatment on an outcome varies based on the levels of other covariates known as effect modifiers. Modeling these effect differences is important for etiological goals and for purposes of optimizing treatment. Structural nested mean models (SNMMs) are useful causal models for estimating the potentially heterogeneous effect of a time-varying exposure on the mean of an outcome in the presence of time-varying confounding.
View Article and Find Full Text PDFToxicology
January 2025
College of Life Science, Yangtze University, Jingzhou 434025, China. Electronic address:
Mycotoxins are potential environmental risk factors for neurodegenerative diseases. These toxins penetrate the central nervous system via a compromised blood-brain barrier, which may cause oxidative stress and neuroinflammation, these can also contribute to amyloid-beta (Aβ) plaque accumulation, Tau protein hyperphosphorylation, and neurofibrillary tangle formation. Mycotoxins also activate microglia, cause neuronal apoptosis, and disrupt central nervous system function.
View Article and Find Full Text PDFArq Bras Cardiol
January 2025
Instituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.
Background: Acute coronary syndrome (ACS) is one of the leading causes of mortality worldwide. Knowing the predisposing factors is essential for preventing it.
Objectives: To describe the etiological and epidemiological characteristics of the population with ACS admitted to an emergency room in the State of São Paulo.
Acta Biotheor
January 2025
Department of Veterinary Parasitology and Entomology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
Conflicts within the tsetse fly belt revealed a strong correlation between the dynamics of bovine trypanosomosis and the insurgency involving farmers and herders in Nigeria and parts of West Africa. This study examined the history, causes and influence of farmers-herdsmen conflicts on banditry, terrorism and food security as it relates to the epidemiology of African animal trypanosomosis (AAT). A combination of literature database searches, semi-structured questionnaires, and mathematical modeling was employed.
View Article and Find Full Text PDFSSM Popul Health
March 2025
Department of Health and Social Behavior, School of Public Health, The University of Tokyo, Tokyo, Japan.
Recent discussions in epidemiology have emphasised the need to estimate the heterogeneous effects of risk factors across the distribution of health outcomes for better aetiological understanding of the determinants of population health. We propose using quantile regression-based decomposition to expand the empirical discussion on population health intervention strategies for health equity by incorporating population homogeneity/heterogeneity in the risk-outcome association. We theorised that the 'proportionate universalism' approach presumes population homogeneity in the risk-outcome association with varying risk intensities, which decomposition analysis shows as the 'covariates part' between groups.
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