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Current State of COVID-19 Point-of-Care Testing: Blood Gases, Biomarkers, and Future Directions

  • Credit:1.0 ACCENT Credits
  • Duration: 1 Hour
  • Date:SEP.23.2020 11:00 AM - 12:00 PM
  • Level: Intermediate

Price: $0.00

Member Price: $0.00

The On Demand recording for this webinar will be available through 9/30/2021.

DESCRIPTION

The majority of SARS-CoV-2 testing has focused on molecular, antigen, and serology-based assays. Other routine tests also play a critical role in diagnosing and managing COVID-19. Dr. Nam K. Tran will provide an overview of common chemistry and point-of-care tests employed when treating COVID-19 patients. These include blood gas analysis and biomarkers of infection and injury. He will also discuss future directions such as the use of machine learning and mass spectrophotometric methods now under investigation.

TARGET AUDIENCE

This activity is designed for lab directors and managers, medical technologists, point-of-care coordinators, and other laboratory professionals overseeing and/or carrying out testing that supports patients with COVID-19.

LEARNING OBJECTIVES

At the end of this activity, participants will be able to:

  • Summarize how COVID-19 has impacted acute care and point-of-care testing (POCT) workflows and settings.
  • Apply updated knowledge from published evidence regarding which POCT parameters may predict outcome or prognosis for patients with COVID-19.
  • Incorporate best practice recommendations for the diagnosis and management of patients with COVID-19 from a clinical chemistry perspective.

FACULTY

Speaker:

Nam Tran photoNam K. Tran, PhD, HCLD(ABB), FACB
Professor and Senior Director of Clinical Chemistry
University of California-Davis, School of Medicine
Sacramento, CA, USA

 

Moderator:

Larissa May headshotLarissa May, MD, MSPH, MSHS
Professor
University of California-Davis, School of Medicine
Antibiotic Stewardship Lead
Northern California VA Healthcare System
Sacramento, CA, USA

DISCLOSURES AND STATEMENT OF INDEPENDENCE

AACC is dedicated to ensuring balance, independence, objectivity, and scientific rigor in all educational activities. All participating planning committee members and faculty are required to disclose to the program audience any financial relationships related to the subject matter of this program. Disclosure information is reviewed in advance in order to manage and resolve any possible conflicts of interest. The intent of this disclosure is to provide participants with information on which they can make their own judgments.

The following faculty reported the following relevant financial relationship(s) during the content development process for this activity:

Nam K. Tran, PhD, HCLD(ABB), FACB

  • Consultant Fee, Roche Diagnostics
  • Presenter/Speaker, Roche Diagnostics
  • Intellectual Property/Royalty Income, co-inventor of the Machine Intelligence Learning Optimizer (Intellectual property: University of California)

Larissa May, MD, MSPH, MSHS

  • Grant/Research Support, Abbott
  • Grant/Research Support, BioRad
  • Grant/Research Support, Roche Diagnostics
  • Board/Committee Member, Roche Diagnostics

CONTENT VALIDITY

All recommendations involving clinical medicine are based on evidence accepted within the profession of medicine as adequate justification for their indications and contraindications in the care of patients; AND/OR All scientific research referred to or reported in support or justification of a patient care recommendation conforms to generally accepted standards of experimental design, data collection, and analysis.

ACCREDITATION STATEMENT

This activity is approved for 1.0 ACCENT® continuing education credits. Activity ID# 2030. This activity was planned in accordance with ACCENT® Standards and Policies.

SUCCESSFUL COMPLETION STATEMENT

Verification of Participation certificates are provided to registered participants based on completion of the activity, in its entirety, and the activity evaluation. For questions regarding continuing education, please email education@aacc.org.

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