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Summary Toxicology Lecture 11

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Orderly and clear summary of lecture 11 what is discussed during the toxicology lectures. With this summary you will save a lot of time. I passed this course with a 7,5. Good luck :)

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  • December 7, 2020
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Toxicology 11 – Risk assessment of compounds

What is risk?

Paracelsus; Everything is toxic, it depends on the dose.

Forward problem; what is the risk (response) of a given
exposure?
Backward problem; which exposure corresponds to an
acceptable risk (response?

Risk = hazard (gevaar) * exposure (blootstelling)
Risk is the probability that a negative effect will occur.

Risk assessment is just a part of the risk management.

Comparison of risks by toxic compounds to other risk factors
DALY (disability adjusted life years); express risks in terms of lost life years

DALY=YYL (years of life lost) * YLD (years lost to disability)
YYL; years lost due to premature death; n (aantal mensen) * standard life
expectation in year of death (verschil tussen leeftijd doodgaan en life
expectation)
YLD; years lived with disease; n (aantal mensen) * handicap weight * duration
diseases till recovery or death

Hoe can critical exposures be determined?
Hazard; Intrinsic character of the compound
• Qualitative; this compound causes something
• Quantitavie; NOAL and LOAEL
Exposure; quantitative (hoeveelheid) measure for the presence of hazard

NOAEL; no observable adverse effect level
LOAEL; lowest observable adverse effect level
The risk dose is between NOAEL and LOAEL

CES; critical effect size
CED; critical effect dose = BDM; benchmark dose
BMDL; benchmark dose lower confidence bound
ADI; acceptable daily intake → acceptable intake of food or
drinking water what is NOT contaminated
TDI; tolerable daily intake → acceptable intake of food or
drinking water what is contaminated. NOAEL/UF or BMDL/UF or MPRL
UF; uncertainty factor (onzekerheidsfactor), if data is lacking to provide a scientifically
evaluation.
• Interspecies; from test animal to human
• Intraspecies; from average person to most sensitive person
• Shortcoming within the dataset

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