Objective: To identify specific clinical signs of Omicron pharyngitis infection.
Methods: A clinical cross-sectional retrospective study was designed to analyze the primary symptoms of pharyngitis in outpatients seeking treatment for sore throat. Pharyngeal congestion, mucosal edema, were measured using a visual analogue assessment score (0-10) while the presence of ulcers, no-tonsil-swelling, no-tonsil-exudate. They were recorded as "yes" or "no "as two-Categorical data by two senior clinicians, respectively. Significant clinical signs were selected and combined to form a diagnostic panel using SPSS software to differentiate between Omicron pharyngitis and other sore throat cases. The efficiency of the panel was calculated.
Results: A total of 39 sore throat patients were included in the study, including 15 confirmed cases of Omicron pharyngitis through nuclear acid or Sars-Cov-2 virus antigen testing, and 24 cases of common pharyngitis caused by other pathogens. Mucosal congestion and edema were identified as the most significant symptoms and consolidated into a single working group. When combined with the third significant symptom of no-tonsil-swelling, the three-sign-combined diagnostic panel was found to have a high diagnostic efficiency. Mucosal congestion and edema were the most significant signs. When mucosal congestion and edema were consolidated into a single working panel, the cut-off values were determined to be 7.5 and 1, respectively. When combined with the third significant symptom no-tonsil-swelling, the three-sign diagnostic panel was found to have a high diagnostic efficiency. When compared with the gold standard measurement of Sars-Cov-2 virus antigen or nucleic acid, the diagnostic panel has a sensitivity of 66.7% and a specificity of 91.7%.
Conclusion: A combination of three signs may be a useful diagnostic tool for Omicron pharyngitis. Clinical signs of dramatic mucosal congestion and edema, non-swollen tonsils are the characteristics of Omicron pharyngitis.
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http://dx.doi.org/10.1186/s12879-024-10364-6 | DOI Listing |
BMC Infect Dis
January 2025
Department of Otolaryngology-Head and Neck Surgery, Zhongshan Hospital, Fudan University, Fenglin Road 180, Shanghai, 200032, China.
Objective: To identify specific clinical signs of Omicron pharyngitis infection.
Methods: A clinical cross-sectional retrospective study was designed to analyze the primary symptoms of pharyngitis in outpatients seeking treatment for sore throat. Pharyngeal congestion, mucosal edema, were measured using a visual analogue assessment score (0-10) while the presence of ulcers, no-tonsil-swelling, no-tonsil-exudate.
Healthcare (Basel)
December 2023
Health Division, Maccabi Healthcare Services, Tel Aviv 6812509, Israel.
Introduction: Correlations between SARS-CoV-2 and bacterial infections have mainly been studied in hospitals, and these studies have shown that such interactions may be lethal for many. In the context of community flora, less is known of the trends and consequences of viral infections relative to subsequent bacterial infections.
Purpose: This study aims to explore the prevalence and characteristics of bacterial infections in the three months following SARS-CoV-2 infections, in a community, real-world setting.
J Med Virol
August 2023
Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing, China.
To evaluate clinical characteristics and identify risk factors associated with severe outcomes in outpatients infected with the Omicron subvariant BF.7, data were collected from outpatients diagnosed with Corona Virus Disease 2019 from December 19, 2022 to January 5, 2023. Clinical characteristics were analyzed using descriptive statistics.
View Article and Find Full Text PDFSci Rep
August 2023
Department of Statistics, George Washington University, 2121 I St NW, Washington, DC, 20052, USA.
We used social media data from "covid19positive" subreddit, from 03/2020 to 03/2022 to identify COVID-19 cases and extract their reported symptoms automatically using natural language processing (NLP). We trained a Bidirectional Encoder Representations from Transformers classification model with chunking to identify COVID-19 cases; also, we developed a novel QuadArm model, which incorporates Question-answering, dual-corpus expansion, Adaptive rotation clustering, and mapping, to extract symptoms. Our classification model achieved a 91.
View Article and Find Full Text PDFJ Med Virol
August 2023
Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
During March 2022 to January 2023, two Omicron waves hit Shanghai and caused a massive number of reinfections. To better understand the incidence and clinical characteristics of SARS-CoV-2 reinfection in Shanghai, China, we conducted a multicenter cohort study. COVID-19 patients first infected with BA.
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