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Key Event-Informed Risk Models for Benzene-induced Acute Myeloid Leukaemia
- Publication Year :
- 2020
- Publisher :
- Zenodo, 2020.
-
Abstract
- Occupational exposure to benzene at levels of 10 ppm or more has been associated with increased risk of acute myeloid leukaemia (AML). The mode of action (MOA) for AML development leading to mortality is anticipated to include multiple earlier key events, which can be observed in hematotoxicity and genetic toxicity in peripheral blood of exposed workers. Prevention of these early events would lead to prevention of the apical, adverse outcomes, the morbidity and mortality caused by the myelodysplastic syndrome (MDS) and AML.. Incorporation of key event information should modify the risk model, but few modification approaches have been suggested. To that end, two approaches to risk model modification are described that use sub-linear and segmented linear increases in risk below key events, while maintaining a linear increase in AML mortality risk beginning at 2 ppm, the lowest observed adverse effect concentration (LOAEC) identified for hemato- and geno- toxicity in high quality studies of human occupational exposure. Below 2 ppm two different modification approaches to quantitative risk models were applied: a continuously decreasing slope model and a segmented modification in slope. These two approaches provide greater flexibility to incorporate MOA information in risk model development and selection.
- Subjects :
- 0301 basic medicine
Oncology
medicine.medical_specialty
Toxicology
Models, Biological
Risk Assessment
03 medical and health sciences
Risk model
0302 clinical medicine
Internal medicine
Occupational Exposure
Medicine
Humans
Adverse effect
Event (probability theory)
business.industry
Myelodysplastic syndromes
Benzene
General Medicine
medicine.disease
Peripheral blood
benzene, health risk, acute myeloid leukemia
Leukemia, Myeloid, Acute
030104 developmental biology
Increased risk
Toxicity
Myeloid leukaemia
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....61ee2d5fa3a7c20ac944e479aaddc6f5
- Full Text :
- https://doi.org/10.5281/zenodo.4029509