ArticleThe Journal of molecular diagnostics : JMD2024
Universal Digital High-Resolution Melt Analysis for the Diagnosis of Bacteremia.
Article in The Journal of molecular diagnostics : JMD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Limit of Blank Variability as a Determinant of Analytical Sensitivity in a DNA-Binding Dye-Based Digital Polymerase Chain Reaction for the Detection of Chlamydia pneumoniae.Analytical chemistry · 2026Article
- Cross-kingdom pathogen detection via duplex universal PCR and high-resolution melt.Biosensors & bioelectronics · 2025Article
- Machine learning based DNA melt curve profiling enables automated novel genotype detection.BMC bioinformatics · 2024Article
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Authors and funding
18 authors at 4 institutions in 1 country.
Funding
Abstract
Fast and accurate diagnosis of bloodstream infection is necessary to inform treatment decisions for septic patients, who face hourly increases in mortality risk. Blood culture remains the gold standard test but typically requires approximately 15 hours to detect the presence of a pathogen. We, therefore, assessed the potential for universal digital high-resolution melt (U-dHRM) analysis to accomplish faster broad-based bacterial detection, load quantification, and species-level identification directly from whole blood. Analytical validation studies demonstrated strong agreement between U-dHRM load measurement and quantitative blood culture, indicating that U-dHRM detection is highly specific to intact organisms. In a pilot clinical study of 17 whole blood samples from pediatric patients undergoing simultaneous blood culture testing, U-dHRM achieved 100% concordance when compared with blood culture and 88% concordance when compared with clinical adjudication. Moreover, U-dHRM identified the causative pathogen to the species level in all cases where the organism was represented in the melt curve database. These results were achieved with a 1-mL sample input and sample-to-answer time of 6 hours. Overall, this pilot study suggests that U-dHRM may be a promising method to address the challenges of quickly and accurately diagnosing a bloodstream infection.
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Registered trials
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