hematocrit_infants

For infants under 1 year, hematocrit was not measured in NHANES. Assume a
log-normal distribution where plus/minus 1 standard deviation of the
underlying normal distribution is given by the reference range. Draw
hematocrit values from these distributions by age.

httk-pop

Pre-made models that can be rapidly tailored to various chemicals
and species using chemical-specific in vitro data and physiological
information. These tools allow incorporation of chemical
toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE")
into bioinformatics, as described by Pearce et al. (2017)
(<doi:10.18637/jss.v079.i04>). Chemical-specific
in vitro data characterizing toxicokinetics have been obtained
from relatively high-throughput experiments. The
chemical-independent ("generic") physiologically-based ("PBTK") and empirical
(for example, one compartment) "TK" models included here can be
parameterized with in vitro data or in silico predictions which are
provided for thousands of chemicals, multiple exposure routes,
and various species. High throughput toxicokinetics ("HTTK") is the
combination of in vitro data and generic models. We establish the
expected accuracy of HTTK for chemicals without in vivo data
through statistical evaluation of HTTK predictions for chemicals
where in vivo data do exist. The models are systems of ordinary
differential equations that are developed in MCSim and solved
using compiled (C-based) code for speed. A Monte Carlo sampler is
included for simulating human biological variability
(Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>)
and propagating parameter uncertainty
(Wambaugh et al., 2019 <doi:10.1093/toxsci/kfz205>).
Empirically calibrated methods are included for predicting
tissue:plasma partition coefficients and volume of distribution
(Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>).
These functions and data provide a set of tools for using IVIVE to
convert concentrations from high-throughput screening experiments
(for example, Tox21, ToxCast) to real-world exposures via reverse
dosimetry (also known as "RTK")
(Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

John Wambaugh

httk

High-Throughput Toxicokinetics

Sarah Davidson-Fritz

Robert Pearce

Caroline Ring

Greg Honda

Mark Sfeir

Matt Linakis

Dustin Kapraun

Kimberly Truong

Colin Thomson

Meredith Scherer

Annabel Meade

Celia Schacht

Leonie Lautz

Todor Antonijevic

Miyuki Breen

Shannon Bell

Xiaoqing Chang

Jimena Davis

Elaina Kenyon

Gilberto Padilla Mercado

Katie Paul Friedman

Nathan Pollesch

Noelle Sinski

Nisha Sipes

James Sluka

Caroline Stevens

Barbara Wetmore

Lily Whipple

Woodrow Setzer

hematocrit_infants function

<dl><dt>age_months</dt>
<dd>Vector of ages in months; all must be &lt;= 12.</dd></dl>

Arguments

Author

Predict hematocrit in infants under 1 year old. — hematocrit_infants

<dl>

<dt>age_months</dt>
<dd>Vector of ages in months; all must be &lt;= 12.</dd>

</dl>

Predict hematocrit in infants under 1 year old.

Age	Reference range
<1 month	31-49
1-6 months	29-42
7-12 months	33-38

hematocrit_infants: Predict hematocrit in infants under 1 year old.

Description

Usage

Value

Arguments

Author

Details

References