2020年5月- 2022年7月加州季节性呼吸道病毒的临床表现

IF 3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Samuel Schildhauer , Lauren Linde , Stephanie Bertsch-Merbach , Gail L. Sondermeyer Cooksey , Christina Morales , Estela Saguar , April Hatada , Blanca Molinar , Debra A. Wadford , Seema Jain , Jake M. Pry , CalSRVSS County Collaborators
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引用次数: 0

摘要

目的:2019冠状病毒病(COVID-19)大流行导致季节性呼吸道病毒传播中断。COVID-19的特点是一系列非特异性症状,因此难以与其他季节性呼吸道病毒区分开来。该分析的目的是进一步了解COVID-19大流行期间呼吸道病原体之间的循环趋势和报告症状的差异。方法:从2020年5月到2022年7月,一项哨点监测项目收集了加利福尼亚州门诊地区的数据和呼吸道标本,并对其进行了19种呼吸道病毒检测。通过识别呼吸道病原体来分析数据,以描述趋势和临床表现。采用多元逻辑回归方法根据报告的症状估计每种呼吸道病原体的几率。结果:我们纳入了19183份标本的结果,其中8599份(44.8%)病原体检测呈阳性,其中3742份(20.0%)为SARS-CoV-2, 3057份(15.9%)为鼻病毒/肠道病毒。报告出现全身性症状的患者出现流感(aOR=9.2; 95%CI, 6.7-13.1)或SARS-CoV-2 (aOR=2.4; 95%CI, 2.2-2.6)检测阳性的调整后几率明显更高。结论:在报告不同症状的人群中,病原体检测呈阳性的差异强调了完整的检测算法在补充综合征诊断、提高公众卫生意识和临床指导方面的潜在益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical presentation of seasonal respiratory viruses in California, May 2020–July 2022

Purpose

The coronavirus disease 2019 (COVID-19) pandemic caused disruptions in the transmission of seasonal respiratory viruses. COVID-19 is characterized by a range of non-specific symptoms, making it difficult to differentiate from other seasonal respiratory viruses. The goal of this analysis was to further understand trends in the circulation and differences in reported symptoms between respiratory pathogens during the COVID-19 pandemic.

Methods

From May 2020 to July 2022 a sentinel surveillance program collected data and respiratory specimens in outpatient settings across California and tested them for 19 respiratory viruses. Data were analyzed by identified respiratory pathogen to describe trends and clinical presentations. Multiple logistic regression was used to estimate odds of each respiratory pathogen by reported symptoms.

Results

We included results from 19,183 specimens, of which 8599 (44.8 %) tested positive for a pathogen, including 3742 (20.0 %) for SARS-CoV-2 and 3057 (15.9 %) for rhinovirus/enterovirus. Those reporting systemic symptoms had significantly higher adjusted odds of testing positive for influenza (aOR=9.2; 95 %CI, 6.7–13.1) or SARS-CoV-2 (aOR=2.4; 95 %CI, 2.2–2.6).

Conclusions

The variability in testing positive for a pathogen among people reporting different symptom profiles suggests a potential benefit of complete testing algorithms to complement syndromic diagnostics, improving public health awareness and clinical guidance.
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来源期刊
Annals of Epidemiology
Annals of Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
7.40
自引率
1.80%
发文量
207
审稿时长
59 days
期刊介绍: The journal emphasizes the application of epidemiologic methods to issues that affect the distribution and determinants of human illness in diverse contexts. Its primary focus is on chronic and acute conditions of diverse etiologies and of major importance to clinical medicine, public health, and health care delivery.
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