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Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections
Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections
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Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections
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Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections
Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections

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Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections
Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections
Journal Article

Clinical efficacy of plasma cell-free DNA metagenomic next-generation sequencing in diagnosing bloodstream infections

2026
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Overview
Background Our initial goal was to assess the clinical efficacy of using plasma cell-free DNA (cfDNA) to perform metagenomic next-generation sequencing (mNGS) to detect suspected infections. Methods We retrospectively analyzed 425 patients who underwent plasma cfDNA mNGS. Of them, 84 patients had various systemic infections, 69 were ruled out of infectious diseases, and 272 had bloodstream infections. Conventional microbiological tests (CMTs) and plasma cfDNA mNGS were conducted concurrently in clinical practice. The sensitivity and specificity of the two techniques were examined based on the final diagnosis. Results The total positive rate (276/425) for the cfDNA mNGS test indicated the presence of microorganisms. The mean length of stay in the hospital for mNGS-positive patients was longer than for mNGS-negative patients ( P  = 0.0079). Compared with patients with negative mNGS tests, those with positive mNGS tests have significantly lower white blood cell counts in peripheral blood ( P  = 0.0085). Among all the disorders in our patients, bloodstream infection (272/425, 64.0%) accounted for the most significant percentage. The diagnostic sensitivity of mNGS is also higher than that of CMTs (72.8% vs. 32.9%). However, its diagnostic specificity is lower than CMT’s (75.4% vs. 85.5%). Bacteria were the most frequently identified potential pathogens by mNGS. Klebsiella pneumoniae ( n  = 46) was the most common pathogen. Candida albicans is the most common fungal infection ( n  = 18). Human cytomegalovirus ( n  = 45) is the most common viral infection. The detection rate of mNGS in empirically treated groups was significantly higher than in non-empirically treated groups(71.9% vs. 51.4%, p  < 0.0001), which is contrary to conventional microbiological tests(21.7% vs. 41.0%, p  < 0.0001). Of the 276 patients with positive mNGS results, clinical management was positively affected in 122 (44.2%) cases. Negative mNGS results led to a modified clinical management regimen in 121 patients. The average hospitalized days for the day 1–3 sampling time were significantly shorter than for the other two groups(sampling time 4–7 days and sampling time ≥ 8 days). Conclusions Our research found that mNGS has higher positive predictive values (PPVs) than CMTs. Plasma cfDNA mNGS can be used in addition to CMTs to help doctors provide effective anti-infection treatment and reduce hospital stays.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC