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DOI 10.1186/s12879-025-12225-2

Медицинская библиотека · BMC infectious diseases · 2025

Analysis of pertussis surveillance data (2022-2023) in a district of Beijing.

Wang Yuanyuan, Wang Hairui, Li Ying, Yan Aixia, Kang Ying, Liu Lijun, Xiao Lei, Li Shoufei, Wang Fengshuang, Liu Shengtian, Peng Tao, Zhang Maojun, Shao Zhujun

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Аннотация

INTRODUCTION

This study describes the epidemiological and drug resistance characteristics of Bordetella pertussis (B. pertussis) isolated from chronic/protracted cough patients in Beijing, China.

METHODS

A total of 160 patients with chronic/protracted cough from two hospitals in Beijing from 2022 to 2023 were enrolled in this study. Culture, real-time PCR assays and anti-pertussis toxin IgG antibody (PT-IgG) determination were used to confirm the pertussis diagnosis. Forty samples collected between September and November 2023 were screened for 200 respiratory pathogens via targeted next-generation sequencing (tNGS). Antimicrobial susceptibility testing for B. pertussis strains was performed via the E test.

RESULTS

In this study, 98 patients were diagnosed with laboratory-confirmed cases of pertussis, for a diagnosis rate of 61.25% (98/160). The number of enrolled cases and laboratory-confirmed cases of pertussis increased from July to December 2023, and the highest number of enrolled and laboratory-confirmed cases of pertussis were observed in the age group of 6–12 years. In total, 49 B. pertussis isolates were derived from chronic/protracted cough patients, and the MICs of clindamycin (> 256 µg/mL), erythromycin (> 256 µg/mL), azithromycin (> 256 µg/mL) and sulfamethoxazole (> 1024 µg/mL) were greater than the maximum tested concentrations. B. pertussis-related gene fragments were detected in 17 samples via tNGS, with a detection rate of 42.50% (17/40).

CONCLUSIONS

Patients with chronic/protracted cough in this region have a high rate of laboratory-confirmed pertussis. It is important to collect multiple samples during the course of pertussis, as well as to apply various pathogenetic and serologic methods to improve laboratory-based pertussis surveillance.

Для цитирования: Wang Yuanyuan, Wang Hairui, Li Ying, Yan Aixia, Kang Ying, Liu Lijun, Xiao Lei, Li Shoufei, Wang Fengshuang, Liu Shengtian, Peng Tao, Zhang Maojun, Shao Zhujun. Analysis of pertussis surveillance data (2022-2023) in a district of Beijing.. BMC infectious diseases. 2025. DOI: 10.1186/s12879-025-12225-2.

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