Literature DB >> 27483511

Assessing the Dengue Diagnosis Capability Gap in the Military Health System.

Subhamoy Pal1, Louis E Jasper2, Kendra L Lawrence2, Maureen Walter2, Theron Gilliland1, Allison L Dauner1, Thomas J Palys3, Shuenn-Jue L Wu1.   

Abstract

Dengue, one of the most widespread infectious diseases, has affected U.S. military readiness throughout history. We explored the dengue diagnosis capability gap by circulating a questionnaire among military end users to determine in what capacity diagnostic test results are needed and how these results would be used at various roles of care in the Military Health System. Results were used to generate target product profiles for potential diagnostic tests. We determined that at far-forward locations, diagnostic tests need to be rugged and easy to use and are primarily needed to inform medical evacuation decisions. In mobile or fixed hospitals, diagnostics can be less portable but must be accurate enough to inform patient care decisions reliably. We then evaluated the suitability of using rapid diagnostic tests and enzyme-linked immunosorbent assays based on published performance characteristics, and we used a model to determine positive and negative predictive values in certain simulated deployments. In far-forward settings, a rapid diagnostic test comprising both antigen- and antibody-based detection can fulfill the capability gap with reasonable accuracy, whereas at higher roles of care immunoglobulin M-enzyme-linked immunosorbent assay was determined to be the most suitable option. Reprint &
Copyright © 2016 Association of Military Surgeons of the U.S.

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Year:  2016        PMID: 27483511     DOI: 10.7205/MILMED-D-15-00231

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  2 in total

1.  Target Product Profiles for medical tests: a systematic review of current methods.

Authors:  Paola Cocco; Anam Ayaz-Shah; Michael Paul Messenger; Robert Michael West; Bethany Shinkins
Journal:  BMC Med       Date:  2020-05-11       Impact factor: 8.775

2.  Selection and Characterization of Anti-Dengue NS1 Single Domain Antibodies.

Authors:  Lisa C Shriver-Lake; Jinny L Liu; Dan Zabetakis; Victor A Sugiharto; Cheng-Rei Lee; Gabriel N Defang; Shuenn-Jue L Wu; George P Anderson; Ellen R Goldman
Journal:  Sci Rep       Date:  2018-12-27       Impact factor: 4.379

  2 in total

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