584. Microbiological Outcomes of Culture-Negative Blood Specimens Using 16s rRNA Broad-Range PCR Sequencing: a Retrospective Study in a Canadian Province from 2018 to 2022
Bibliographic record
Abstract
Abstract Background Broad-range bacterial PCR sequencing (BRBPS) has emerged as a novel tool to detect fastidious organisms. While its utility has been characterized in different specimen types, its role in culture-negative blood specimens remains poorly understood. Methods We reviewed all clinical specimens sent for culture-negative blood BRBPS (blood, serum and blood culture bottles) to the Laboratoire de santé publique du Québec, the reference laboratory for a large Canadian province, from May 2018 to November 2022. Sanger sequencing of the amplified 16s rRNA gene was performed in all PCR-positive specimens. Data were extracted from the laboratory information system, and the analysis was restricted to the first specimen per patient. Microbiological outcomes were categorized as interpretable sequence, uninterpretable sequence, or negative PCR result. Interpretable sequences were identified and then classified based on the National Healthcare Safety Network database (NHSN; Table 1) and microbiological characteristics.Table 1.Definitions of National Health Safety Network (NHSN) Classification and Examples Results A total of 1199 blood specimens were analyzed using BRBPS from 852 unique patients. Of these, there was no PCR amplification in 152, amplification with uninterpretable sequences in 445 and an interpretable sequence in 255 specimens (Figure 1). Blood specimens received at room temperature, in blood culture bottles, or with positive gram stain were more likely to yield interpretable sequences (Table 2). We identified 174 patients with BRBPS results suggestive of organisms associated with mucosal barrier injury (n=89) or possible pathogens (n=85), summarized in Figure 2. In contrast, 75 patients had results suggestive of contamination from common commensal organisms (n=44) or taxa not in the NSHN database (n=31).Figure 1.Flowchart of the analysis from primary specimens to those specimens with successful amplification of 16s rRNA Classification of interpretable sequences using the National Healthcare Safety Network database classification of microorganisms.Table 2.Characteristics of BRBPS of the 16s rRNA on Culture-Negative Blood SpecimensFigure 2.Tree Map of Mucosal Barrier Injury Organisms and Possible Pathogens by Genera Mucosal barrier injury (A) and possible pathogens (B) are categorized based on the National Healthcare Safety Network database. Microorganisms are colour classified based on microbiological characteristics. Conclusion Our findings demonstrate the potential utility of BRBPS in blood specimens from culture-negative patients, particularly infectious syndromes caused by fastidious gram-negative bacteria associated with animal or arthropod exposures or anaerobic bacteria. However, the frequent recovery of commensal and environmental organisms argues for careful and judicious use. Additional technical optimization is likely required to improve diagnostic yield, particularly with mixed sequences. Disclosures Matthew Cheng, MD, Amplyx Pharmaceuticals: Grant/Research Support|AstraZeneca: Advisor/Consultant|AstraZeneca: Honoraria|Cidara Therapeutics: Grant/Research Support|GEn1E lifesciences: Advisor/Consultant|GEn1E lifesciences: Stocks/Bonds|Kanvas Biosciences, Inc.: Board Member|Kanvas Biosciences, Inc.: Pending patents|Kanvas Biosciences, Inc.: Ownership Interest|Merck: Honoraria|nomic bio: Advisor/Consultant|nomic bio: Stocks/Bonds|Pfizer: Honoraria|Scynexis Inc.: Grant/Research Support|Takeda: Advisor/Consultant|Takeda: Honoraria
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".