Retrospective analysis of respiratory virus detection methods and epidemiological features in outpatient and emergency departments of Beijing hospitals
10.3760/cma.j.cn311365-20250716-00228
- VernacularTitle:北京市医院门急诊呼吸道病毒检测方法的回顾研究及疾病流行特征分析
- Author:
Xinlong WANG
1
;
Jiaying ZHANG
;
Jun LI
;
Jian LIU
;
Danying CHEN
;
Zhixia GU
;
Gang WAN
;
Xiaoqin LIU
;
Menghan LIU
;
Ronghua JIN
;
Rui SONG
Author Information
1. 传染病溯源预警与智能决策全国重点实验室，首都医科大学附属北京地坛医院，北京 100015
- Publication Type:Journal Article
- Keywords:
Influenza virus;
SARS-CoV-2;
Respiratory pathogens;
Clinical characteristics
- From:
Chinese Journal of Infectious Diseases
2025;43(10):606-614
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To characterize the epidemiology of respiratory syndrome across healthcare facilities of different types and tiers in Beijing City, to compare pathogen-testing modalities and their associations with adverse outcomes, and to identify key factors associated with progression to severe illness, thereby informing regional prevention, control, and clinical optimization.Methods:The multicenter observational cohort study was performed using outpatient and emergency department data from five sentinel hospitals in Beijing (Beijing Xiaotangshan Hospital, Beijing Chaoyang District Shuangqiao Hospital, Beijing Haidian Hospital, Beijing You′an Hospital, Capital Medical University (Beijing You′an Hospital), and Beijing Ditan Hospital, Capital Medical University (Beijing Ditan Hospital)) from October 1st, 2023 to April 9th, 2025. Dual-target (two-plex) and triple-target (three-plex) respiratory specimens were collected. Demographic characteristics, visit information, pathogen-testing modalities and results were collected, and the epidemiologic features of patients who progressed to severe illness between the influenza high-incidence season (December to May) and the non-influenza season (June to November) were compared. Categorical variables were analyzed using the chi-square test. Multivariable logistic regression was used to estimate associations between covariates and risk of progression to severe illness.Results:Among the 192 131 cases, patients visited at Beijing You′an Hospital were concentrated in the 16 to 44 year age group, accounting for 66.79%(32 532/48 708). Beijing Xiaotangshan Hospital had a broad age distribution, with older adults comprising up to 22.35% (885/3 960). Of the 47 349 respiratory specimens across the five hospitals, Beijing You′an Hospital had the highest positivity rate for dual-target testing (46.76%(1 585/3 390)), while Beijing Haidian Hospital conducted the largest number of this tests ( n=12 514). For triple-target testing, Beijing You′an Hospital again had the highest positivity rate (45.03%(2 835/6 296)), whereas Beijing Ditan Hospital tested the most specimens ( n=12 011; positivity rate was 29.73%(3 571/12 011)). The influenza season within the same period (November 2023 to January 2024) exhibited a bimodal pattern, with alternating circulation of influenza viruses and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Among 32 744 outpatients/emergency patients who progressed to severe illness, significant seasonal differences were observed by sex, age, comorbidity status, and infection type ( χ2=6.60, 189.24, 32.71 and 189.99, respectively; all P<0.05). After adjustment for sex, age group, comorbidities, and infection type, testing modality remained significantly associated with risk of progression (dual-target testing, odds ratio ( OR)=0.116, 95% confidence interval ( CI) 0.111 to 0.122, P<0.001); no testing, OR=0.063, 95% CI 0.060 to 0.065, P<0.001). Conclusions:The epidemiological pattern of respiratory pathogens undergo significant changes after October 2023, which is characterized by alternating waves of influenza viruses and SARS-CoV-2 with pronounced seasonality and diversity. Substantial inter-hospital differences are observed in testing modalities and positivity rates. Risk of progression to severe illness varies significantly by sex, age, comorbidity burden, and infection type, and is closely associated with the testing modality. These findings support strengthening multiplex pathogen testing and targeted surveillance of high-risk groups to improve early identification and precise control of febrile-respiratory syndromes.
