title: Exterior exposure estimation using a one-compartment toxicokinetic model with blood sample measurements.
abstract: Exposure assessment of individuals exposed to certain chemicals plays an important role in the analysis of occupational-as well as environmental-health problems. Biological monitoring, as an alternative to direct environmental measurements, may be applied to relate the exterior exposure with the amount of individual intake. In this paper, we estimate individuals' (inhalation) exposure retrospectively from their blood concentrations via a simplified one-compartment toxicokinetic model. Considering stochastic variations to the toxicokinetic model, the solution to the resultant stochastic differential equation (SDE), together with measurement error, is transformed into a dynamic linear state-space model. The unknown model parameters and the mean inhalation concentration are then estimated via Markov Chain Monte Carlo (MCMC) simulations. The proposed method is used in the analysis of the styrene data (Wang et al. in Occup Environ Med 53:601-605, 1996) to backward estimate the inhalation concentration, assuming it is unknown. The data analysis showed that the internal stochastic variations, often ignored in toxicokinetic model analysis, outweighed in standard deviation almost twice that of the measurement error. Also, the simulation results showed that the method performed relatively well to the approach considering measurement error only.
authors: Division of Biostatistics and Bioinformatics, National Health Research Institutes, Zhunan, Taiwan. ccchen@nhri.org.tw
authors: Chu-Chih
authors: CC
authors: Chen
authors: Meng-Chiuan
authors: MC
authors: Shih
authors: Kuen-Yuh
authors: KY
authors: Wu
authors: Pranab K
authors: PK
authors: Sen
mesh_terms: D000393:Air Pollutants / Q000097:blood* / Q000506:poisoning; D001499:Bayes Theorem; D003198:Computer Simulation; D006801:Humans; D008297:Male; D008390:Markov Chains; D008954:Models, Biological; D009010:Monte Carlo Method; D016273:Occupational Exposure; D010599:Pharmacokinetics; D012189:Retrospective Studies; D013269:Stochastic Processes; D020058:Styrene / Q000097:blood / Q000506:poisoning
chemical_list: D000393:Air Pollutants; D020058:Styrene