CHRIS / exposure3_module /static /exposure_COU.html
Robert Elder
updates to cou
9e3a317
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<h1 style="text-align:center">CHRIS: <font color="#0070C0">CH</font>emical <font color="#0070C0">RIS</font>k calculator - Bulk leachables</h1>
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<h2 id="context-of-use-cou">Context of Use (COU)</h2>
<p>The bulk leachable module of the CHemical RISk calculator (CHRIS) is
intended to conduct screening level risk assessments to aid in the
biocompatibility evaluation of bulk additives and impurities in
polymeric medical device components. These assessments can assist device
manufacturers by providing instantaneous feedback on whether the
presence of the bulk chemical would require additional justification
and/or testing to demonstrate acceptable biological risk. The output of
CHRIS is a conservative margin of safety (MOS = toxicological safety
limit ÷ exposure dose) value for a bulk chemical contained within a
polymeric medical device component. Based on the MOS value, the
calculator determines if further assessment of one or more
biocompatibility endpoints is necessary for the specific chemical.</p>
<p>Because CHRIS only addresses compounds with a distribution that is
macroscopically homogeneous within the matrix, the tool can only be used
to assess bulk additives and impurities. Therefore, only compounds that
are introduced either intentionally or unintentionally during synthesis
(e.g., residual monomers and oligomers, catalysts, initiators) or
compounding (e.g., stabilizers, antioxidants, plasticizers) are within
scope. Surface residuals from processing, cleaning, and sterilization
are excluded. Also, CHRIS requires the total amount of the chemical to
be established in advance, e.g., based on a certificate of analysis.
Further CHRIS only addresses individual chemicals; therefore, a
favorable outcome by CHRIS does not imply acceptable biological risk for
the final finished form of a medical device. CHRIS is also not intended
to establish device classification or identify biocompatibility
requirements.</p>
<p>CHRIS provides clinically relevant, yet still conservative, exposure
dose estimates using a physics-based transport model for polymeric
systems where transport data are available to support the use of the
model. The model applies worst-case boundary conditions for release of a
substance from the polymer matrix and is based on five (5) primary
assumptions:</p>
<ol type="1">
<li>The clinical use environment does not cause the polymer matrix to
swell or degrade.</li>
<li>Manufacturing processes do not impact the stability of the
polymer.</li>
<li>The chemical is homogeneously distributed throughout the
polymer.</li>
<li>The total amount of the chemical is present in dilute concentrations
(&lt;= 2 m/v %).</li>
<li>Any particles/aggregates of the chemical present in the polymer are
much smaller than the smallest component dimension (&lt;= 50x).</li>
</ol>
<p>While these assumptions are typically valid for bulk additives and
impurities in biostable polymers, users of CHRIS must confirm
conformance to the underlying assumptions or provide supporting
justification to ensure compliance for a given system. Further, CHRIS
only enables system specific exposure estimates for fifty-three (53)
polymeric systems that are generally biostable (non-swelling and
non-degrading). To estimate chemical release based on the model, the
diffusion coefficient of the chemical in the polymer matrix must be
specified. For the fifty-three (53) listed polymeric systems, a
worst-case (upper bound) diffusion coefficient, as a function of
molecular weight, has been established based on data from the
literature. For polymer matrices that are not included in this list
(“Other polymer”), CHRIS has two approaches. If the polymer glass
transition temperature is not specified, an ultra-conservative diffusion
coefficient that assumes the polymer has the properties of water is
used. If the glass transition temperature is specified, a
less-conservative upper bound diffusion coefficient is estimated using a
machine learning method. For the listed polymeric systems and the
ultra-conservative assumption, note that the worst-case diffusion
coefficient is only defined over a molecular weight range of up to 1100
g/mol. Therefore, for substances with a molecular weight &gt; 1100
g/mol, the value of the diffusion coefficient assuming a molecular
weight of 1100 g/mol is used as a conservative value. When the machine
learning method is used, a check is conducted to verify that the
polymer/solute combination falls inside the applicability domain of the
model. If it falls outside that domain, CHRIS instead uses the
ultra-conservative assumption. Additionally, note that polymers with
high fractional free volume (FFV) should not be used with the machine
learning method because diffusivity may be underestimated. Instead, the
ultra-conservative assumption should be used.</p>
<p>In the absence of adequate toxicological and exposure data for a
chemical in a polymeric matrix, a toxicological risk assessment can be
conducted for systemic biocompatibility endpoints by comparing the
exposure estimate to an appropriate threshold of toxicological concern
(TTC). This is the approach used by CHRIS in this module. The TTC values
are based on systemic toxicity, thus CHRIS can address acute systemic
toxicity, subacute/subchronic toxicity, genotoxicity, carcinogenicity,
and reproductive and developmental toxicity. It does not, however,
address cytotoxicity, sensitization, irritation, hemocompatibility,
material mediated pyrogenicity, or implantation. Therefore, an MOS &gt;=
1 implies the chemical will not raise a safety concern with respect to
only the systemic biocompatibility endpoints, provided the chemical is
not within the cohort of concern, which is reflected in the output of
CHRIS.</p>