Development of a biomarker decision support system for use in occupational risk assessment

Details

• Personal Author:
  Haber L ; Hack E ; Maier A ; Savage R
• Description:
  For more than two decades, scientists have been touting the importance and ultimate application of biomarkers in reducing disease and protecting individuals from the harmful effects of exposure to occupational and/or environmental chemicals. While established guidelines for biomarker validation exist, methods for their implementation and case studies testing the methods are rare. This pilot study demonstrates the use of a framework for integrating complex and multifaceted data, validating biomarkers, and incorporation of the biomarkers into an occupational risk assessment for benzene. The objectives of the project were to (I) identify an occupationally relevant case study chemical; (2) develop a structure for a biomarker database that can be used to organize the diverse types of data; (3) use Bayesian analysis and regression techniques to test and validate (or discount) biomarkers along the entire exposure-disease continuum; and (4) use the biomarker database information to develop a risk assessment and compare that with a risk assessment developed using historical, traditional methodologies. A survey was developed and disseminated to 59 occupational safety and health professionals to help identify an occupationally relevant, data-rich, case study compound. Data were binned into one of the exposure-disease categories (e.g., exposure, internal dose, effective dose, early effects, mild/moderate effects, or severe effects) and entered into a customized database. A Bayesian belief network was used to validate the biomarkers by analyzing the strength of the dependencies between exposure, the potential biomarkers, and disease. Regression analysis was used to generate dose-biomarker relationships that were examined to confirm or reject biomarkers. The framework lays out an approach to consider a variety of biomarkers from the exposure-disease continuum for the enhancement of occupational risk assessment. [Description provided by NIOSH]
• Subjects:
  Benzene Biomarkers Chemistry Environmental Exposure Environmental Monitoring Occupational Health Risk Assessment Risk Factors Safety
• Keywords:
  Analytical-processes Benzenes Chemical-composition Chemical-properties Environmental-exposure Exposure-assessment Exposure-levels Risk-factors
• Publisher:
  American Industrial Hygiene Association
• Document Type:
  Text
• Genre:
  Abstract or Summary
• Place as Subject:
  Ohio ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DART - Division of Applied Research and Technology
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  51
• NIOSHTIC Number:
  nn:20045098
• Citation:
  American Industrial Hygiene Conference and Exposition, May 13-16, 2006, Chicago, Illinois. Fairfax, VA: American Industrial Hygiene Association, 2006 May; :51
• CAS Registry Number:
  Benzene (CAS RN 71-43-2)
• Federal Fiscal Year:
  2006
• Peer Reviewed:
  False
• Source Full Name:
  American Industrial Hygiene Conference and Exposition, May 13-16, 2006, Chicago, Illinois
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:55411faf865d7a1ea682ba2adb8ef40c03ad0338d8fe4e31b1b90c479f83a6d16794c24223a1342b76d47b0beb5e5eb44a451ff02ca46c5091dab6028eda73b8
• Download URL:
  https://stacks.cdc.gov/view/cdc/200626/cdc_200626_DS1.pdf
• File Type:
  [PDF - 1.47 MB ]