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已发表论文
微滴数字 PCR 检测疑似血流感染患者病原体及耐药基因的诊断效能
Authors Wu S, Xu C, Fu Y, Zhang L, Zhang L
Received 2 October 2025
Accepted for publication 19 January 2026
Published 31 January 2026 Volume 2026:19 570142
DOI https://doi.org/10.2147/IDR.S570142
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Oliver Planz
Shengjun Wu,1 Chen Xu,2– 4 Ying Fu,2– 4 Lu Zhang,2– 4 Linyue Zhang2– 4
1School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 2Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People’s Republic of China; 3Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, People’s Republic of China; 4Zhejiang Provincial Engineering Research Center for Innovative Pathogen Precision Detection Instruments, Hangzhou, People’s Republic of China
Correspondence: Linyue Zhang, Department of clinical laboratory, Sir Run Run Shaw Hospital, Zhejiang University, No. 3 Qingchun East Road, Hangzhou, Zhejiang Province, People’s Republic of China, Email linyue_zhang@zju.edu.cn
Purpose: We aimed to evaluate the diagnostic performance and clinical impact of droplet digital PCR (ddPCR) in patients with suspected bloodstream infections (BSIs) and demonstrated how ddPCR can benefit diagnostic and antimicrobial stewardship efforts.
Patients and Methods: We conducted a prospective study in a tertiary hospital in China, 50 patients with suspected BSIs were recruited and 50 blood samples were collected for ddPCR and blood culture (BC).
Results: In terms of diagnostic performance, ddPCR exhibited a superior detection rate (64% vs 30%), a relatively high sensitivity (86.67%), and less turn-around time (27.16 ± 13.95 hours vs 70.87 ± 15.8 hours, P < 0.0001) compared to BC. The presence of blaKPC and Klebsiella pneumoniae was detected by ddPCR and later confirmed by BC in three patients. Based on the rapid ddPCR results, the antimicrobial therapy was adjusted to ceftazidime/avibactam (2.5 g q8h) to target the pathogen. This case showed that ddPCR could reduce the time to diagnosis and promotes precise antibiotic use.
Conclusion: The clinical value of ddPCR is to detect and quantify pathogens and resistance genes early to provide appropriate guidance for therapeutic options.
Keywords: droplet digital PCR, antibiotic resistance genes, clinical application, carbapenem resistance
1School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 2Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People’s Republic of China; 3Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, People’s Republic of China; 4Zhejiang Provincial Engineering Research Center for Innovative Pathogen Precision Detection Instruments, Hangzhou, People’s Republic of China
Correspondence: Linyue Zhang, Department of clinical laboratory, Sir Run Run Shaw Hospital, Zhejiang University, No. 3 Qingchun East Road, Hangzhou, Zhejiang Province, People’s Republic of China, Email linyue_zhang@zju.edu.cn
Purpose: We aimed to evaluate the diagnostic performance and clinical impact of droplet digital PCR (ddPCR) in patients with suspected bloodstream infections (BSIs) and demonstrated how ddPCR can benefit diagnostic and antimicrobial stewardship efforts.
Patients and Methods: We conducted a prospective study in a tertiary hospital in China, 50 patients with suspected BSIs were recruited and 50 blood samples were collected for ddPCR and blood culture (BC).
Results: In terms of diagnostic performance, ddPCR exhibited a superior detection rate (64% vs 30%), a relatively high sensitivity (86.67%), and less turn-around time (27.16 ± 13.95 hours vs 70.87 ± 15.8 hours, P < 0.0001) compared to BC. The presence of blaKPC and Klebsiella pneumoniae was detected by ddPCR and later confirmed by BC in three patients. Based on the rapid ddPCR results, the antimicrobial therapy was adjusted to ceftazidime/avibactam (2.5 g q8h) to target the pathogen. This case showed that ddPCR could reduce the time to diagnosis and promotes precise antibiotic use.
Conclusion: The clinical value of ddPCR is to detect and quantify pathogens and resistance genes early to provide appropriate guidance for therapeutic options.
Keywords: droplet digital PCR, antibiotic resistance genes, clinical application, carbapenem resistance