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DOI 10.1080/0886022x.2023.2284229

Медицинская библиотека · Renal failure · 2023

Rapid detection of pathogens of peritoneal dialysis-related peritonitis, especially in patients who have taken antibiotics, using metagenomic next-generation sequencing: a pilot study.

Nie Sasa, Zhang Qingtao, Chen Rong, Lin Li, Li Zhenzhen, Sun Yanli, Huang Jing, Feng Zhe, Cao Xueying, Ye Kun, Tang Li, Zhou Jianhui, Cai Guangyan, Chen Xiangmei

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Аннотация

INTRODUCTION

Peritoneal dialysis (PD)-related peritonitis is a serious complication of PD. Improving the diagnostic rate of peritonitis pathogens may substantially benefit peritonitis patients.

METHODS

The study was conducted in the People's Liberation Army (PLA) General Hospital from 1 June 2021 to 31 May 2022. Information about peritonitis, culture and metagenomic next-generation sequencing (mNGS) results and so on were collected. Patients were divided into antibiotic-use and antibiotic-free groups. The culture and mNGS results were compared using the paired χ2 test.

RESULTS

Data from 26 patients with peritonitis were collected. 50% of the patients had used antibiotics before samples were obtained (antibiotic-use group). The positivity rate using culture was 92.3% (12 cases) in the antibiotic-free group and 38.5% (5 cases) in the antibiotic-use group (p = 0.011). However, the positivity rate using mNGS was 92.3% (12 cases) regardless of whether antibiotics were used (p = 1.000). After revising the mNGS results, the positivity rate was 84.6% (11 cases) in both groups (p = 1.000). A significant difference between culture and mNGS results of all groups was observed (p = 0.039). The difference no matter between culture and mNGS (p = 0.016) or between culture and modified mNGS (p = 0.031) of the antibiotic-use group was observed.

CONCLUSION

For patients with PD-related peritonitis who previously received antibiotics, mNGS is suggested. For other patients, mNGS testing can be performed, but the results should be interpreted with caution. Much more research should be done to identify a powerful and ideal tool to detect pathogens underlying PD-related peritonitis.

Для цитирования: Nie Sasa, Zhang Qingtao, Chen Rong, Lin Li, Li Zhenzhen, Sun Yanli, Huang Jing, Feng Zhe, Cao Xueying, Ye Kun, Tang Li, Zhou Jianhui, Cai Guangyan, Chen Xiangmei. Rapid detection of pathogens of peritoneal dialysis-related peritonitis, especially in patients who have taken antibiotics, using metagenomic next-generation sequencing: a pilot study.. Renal failure. 2023. DOI: 10.1080/0886022x.2023.2284229.

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