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Universal Digital High-Resolution Melt Analysis for the Diagnosis of Bacteremia.
Aralar, April; Goshia, Tyler; Ramchandar, Nanda; Lawrence, Shelley M; Karmakar, Aparajita; Sharma, Ankit; Sinha, Mridu; Pride, David T; Kuo, Peiting; Lecrone, Khrissa; Chiu, Megan; Mestan, Karen K; Sajti, Eniko; Vanderpool, Michelle; Lazar, Sarah; Crabtree, Melanie; Tesfai, Yordanos; Fraley, Stephanie I.
Afiliación
  • Aralar A; Department of Bioengineering, University of California, San Diego, La Jolla, California.
  • Goshia T; Department of Bioengineering, University of California, San Diego, La Jolla, California.
  • Ramchandar N; Department of Pediatrics, Naval Medical Center San Diego, San Diego, California; Division of Infectious Diseases, Department of Pediatrics, University of California, San Diego, La Jolla, California.
  • Lawrence SM; Division of Neonatology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah.
  • Karmakar A; MelioLabs, Inc., Santa Clara, California.
  • Sharma A; MelioLabs, Inc., Santa Clara, California.
  • Sinha M; MelioLabs, Inc., Santa Clara, California.
  • Pride DT; Department of Pathology, University of California, San Diego, La Jolla, California.
  • Kuo P; Department of Pathology, University of California, San Diego, La Jolla, California.
  • Lecrone K; Department of Pathology, University of California, San Diego, La Jolla, California.
  • Chiu M; Department of Pathology, University of California, San Diego, La Jolla, California.
  • Mestan KK; Division of Neonatology, Department of Pediatrics, University of California, San Diego, La Jolla, California.
  • Sajti E; Division of Neonatology, Department of Pediatrics, University of California, San Diego, La Jolla, California.
  • Vanderpool M; Department of Pathology and Laboratory Medicine, Rady Children's Hospital-San Diego, San Diego, California.
  • Lazar S; Division of Neonatology, Department of Pediatrics, University of California, San Diego, La Jolla, California.
  • Crabtree M; Division of Neonatology, Department of Pediatrics, University of California, San Diego, La Jolla, California.
  • Tesfai Y; Division of Neonatology, Department of Pediatrics, University of California, San Diego, La Jolla, California.
  • Fraley SI; Department of Bioengineering, University of California, San Diego, La Jolla, California. Electronic address: sifraley@ucsd.edu.
J Mol Diagn ; 26(5): 349-363, 2024 May.
Article en En | MEDLINE | ID: mdl-38395408
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / Bacteriemia / Sepsis Límite: Child / Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / Bacteriemia / Sepsis Límite: Child / Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article