Evaluating the Feasibility and Performance of Two Diagnostic Platforms for SARS-COV-2 Detection in Saliva

Abstract

The SARS-COV-2 pandemic has had severe world-wide consequences on human and economic health. Rapid diagnosis is critical to prevent transmission. This study evaluates two fully integrated sample processing platforms for SARS-COV-2 detection in saliva. The Xpert (registered trademark) Xpress CoV-2/Flu/RSV plus cartridge is used on the laboratory-based Cepheid (registered trademark) platform, while the XCEL (trademark) Respiratory ISP cartridge is used on the portable Franklin (registered trademark) ISP system. SARS-COV-2 patient research saliva samples (150 negative; 124 positive) were collected the same day as the nasal swab sample for the official CLIA test allowing for direct comparison. The limit of detection in saliva for the Cepheid (registered trademark) cartridge was 8400 copies/mL, while the Franklin (registered trademark) ISP cartridge was over 42,000 copies/mL. The Cepheid (registered trademark) cartridge exhibited sensitivity/specificity of 56.56 percent /98.11 percent, while the Franklin ISP system was 28.72 percent/94.56 percent. While both systems had high specificity for SARS-COV-2 detection in saliva, the sensitivity was low, thus requiring further refinement of the systems for saliva detection.

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Document Details

Document Type
Technical Report
Publication Date
Aug 24, 2023
Accession Number
AD1208989

Entities

People

  • Alexander J. Burdette
  • Brandie K. Goren
  • Hector Lopez
  • Susana N. Asin

Organizations

  • 59th Medical Wing

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  • Air Force
  • Biological Sciences
  • Covid-19
  • Data Analysis
  • Deoxyribonucleic Acids
  • Department Of Defense
  • Detection
  • Disease Outbreaks
  • Diseases
  • Government Procurement
  • Health Services
  • Infectious Diseases
  • Institutional Review Board
  • Polymerase Chain Reaction
  • Research Facilities
  • Ribonucleic Acids
  • Risk
  • Risk Analysis
  • Sars
  • Statistical Analysis
  • Virus Diseases
  • Viruses

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  • Infectious Disease/Epidemiology
  • Oncology and Biomarker-Based Cancer Detection.
  • Organizational Process Management (OPM).