Development of a scoring system to identify high-yield specimens for bacterial broad-range 16S rRNA gene PCR with sequencing at a tertiary care medical center

American Journal of Clinical Pathology(2023)

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摘要
Abstract Objectives Broad-range bacterial polymerase chain reaction with sequencing (BRBPS) provides valuable diagnostic data, especially in cases of culture-negative infections. However, as BRBPS testing demonstrates generally low positivity, cost per impactful result can be high and commonly involves longer turnaround times compared with other methods, targeting use of this assay to high-yield situations remains a challenging goal. Diagnostic stewardship can help alleviate these challenges and increase clinical utility, yet not all laboratories have a dedicated stewardship team, and little formal guidance exists on identifying high-yield samples outside of specific clinical syndromes. In this study, we performed a retrospective review of 86 BRBPS orders from a tertiary care medical center, with a focus on identifying high-yield cases using an infectious markers scoring system, visualized inflammation or organism (VIO) score, to predict return of actionable diagnostic data. Methods Using chart review, we evaluated how results from high VIO score or low VIO score specimens contributed to clinical management. Results Testing low VIO score samples identified an organism in only 10% of samples, and of these positive results, 33% were considered to represent contamination. Despite negative routine workup and no identified pathogen via BRBPS, broad antimicrobial treatment was continued in 85% of cases with a low VIO score. In contrast, specimens with high VIO scores were more predictably positive by BRBPS, identified organisms that were universally considered pathogens, and provided opportunities to target or de-escalate antimicrobial therapy. Conclusions This study describes the VIO scoring system to guide the identification of high-yield samples and steward the appropriate use of BRBPS testing.
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关键词
rrna gene pcr,specimens,high-yield,broad-range
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