As part of the exposure evaluation (described in Chapters 5 and 6), you have identified who might come in contact with environmental contaminants, how those persons might be exposed, and the extent to which might be exposed (over space and time). As an initial step in the health effects evaluation (described in Chapter 7), you have compared, measured, or modeled exposure point concentrations to ATSDR's media-specific comparison values. In some cases, you have estimated site-specific exposure doses and compared them to health guidelines. By now, you have clearly ruled out those pathways and substances that pose no health hazards, and you have retained those requiring more careful examination.
This chapter provides guidance on how to perform the more in-depth analysis needed at sites where, during the exposure evaluation and screening analysis, health hazards have not been ruled out. To this point in the public health assessment processwith the exception of knowing the numeric value of the health-based comparison valueno information about the substance(s) of interest has been required. As depicted in Figure 8-1, the process described in this chapter involves looking more closely at substance-specific information in the context of site exposures. The goal of this analysis is to provide perspective on what it means when a health-based screening value has been exceeded, and in some cases, how to address specific community health concerns regarding that situation. The analysis will help answer two important questions health assessors face:
This chapter will guide you in evaluating and integrating exposure data (i.e., site-specific exposure conditions that have been studied throughout the public health assessment process) and substance-specific health effects data (e.g., toxicologic, epidemiologic, and health outcome data). The output of the analysis is a qualitative description of whether site exposure conditions are of sufficient nature, frequency, and magnitude to affect public health adversely. The outcome will also assist in determining an appropriate public health response.
Because of uncertainties regarding exposure conditions and the adverse effects associated with environmental levels of exposure, definitive answers on whether health effects actually will or will not occur are not always possible. However, providing a framework that puts site-specific exposures and the potential for harm in perspective is possible and is one of the primary goals of the public health assessment process. The narrative describing your findings should therefore lay out this framework.
After discussing the criteria that will trigger an in-depth analysis (Section 8.1) and the tools and resources available to support your analysis (Section 8.2), this chapter will guide the health assessor through the following steps:
Not all public health assessments will require you to consider all the elements of the in-depth analysis described in this chapter. The level of analysis will differ across sites and will depend on the scope and complexity of site-related issues, such as the magnitude of exposures, the substance(s) under evaluation, and specific community health concerns.
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As you review and integrate exposure and health effects data, professional judgment is needed in weighing what is known and unknown, including uncertainties and data limitations. You may need assistance from other members of your site team or other technical specialists, including those with expertise in toxicology, epidemiology, medicine, and health physics. This chapter will guide you on how to work with these specialists to define the appropriate level of analysis for your site and in evaluating the strength and relevance of available information. As the health assessor, you will be responsible for integrating and communicating the findings of this analysis in the public health assessment document.
During the screening analysis (Chapter 7), after careful consideration of site-specific exposure conditions, you eliminated those substances and pathways not expected to result in adverse health effects. You then determined whether exposure to measured or modeled levels of contaminants required further evaluation. In many cases, you will not need to go any further. However, you should proceed with a more detailed analysis, as outlined in this chapter, if any of the following occur (1):
In general, an in-depth analysis will require the examination and interpretation of reliable substance-specific health effects data (toxicologic, epidemiologic, medical, and health outcome data). Much of the data will relate to dose-response relationships for the substance and pathways of interest. You also will determine whether health outcome data should or can be obtained (i.e., information from pre-existing databases such as local or state disease registries). In some cases, community or site-specific survey data might be available for evaluation as part of the public health assessment.
ATSDR's toxicological profiles serve as an important resource for health effects data. In most cases, these profiles will provide the information needed to support your analysis and draw public health conclusions. Each peer-reviewed profile identifies and reviews the key literature that describes the toxicologic properties and adverse effects associated with a substance, including information on populations that might be unusually susceptible to a particular substance. These profiles also contain other substance-specific data, such as information on bioavailability and interaction with other chemicals. Limitations and uncertainties of individual studies and the overall database are highlighted. The box below summarizes the content of ATSDR's Toxicological Profiles.
Other compilations of toxicologic data include resources such as the U.S. Environmental Protection Agency's (EPA) Integrated Risk Information System (IRIS) database, International Agency for Research on Cancer (IARC) Monographs, and National Toxicology Program (NTP), as well as some non-governmental resources. For more in-depth evaluations or in the absence of secondary sources such as those mentioned above, standard toxicology textbooks and peer-reviewed scientific journals of environmental toxicology or environmental health can be consulted. A listing of and links to such resources are provided at the end of this chapter.
When identifying the most relevant and up-to-date sources of data to support your analysis, you might need to consult with the appropriate experts on your team. Conducting a critical review of toxicologic or epidemiologic data requires specialized training and a thorough understanding of underlying scientific principles. Similarly, a health physicist will need to assist in identifying appropriate resources for evaluating radiological hazards. The ATSDR Division of Toxicology chemical manager is another resource in determining the status of any ongoing substance-specific research. If available secondary resources (such as toxicological profiles) have not been recently updated, it is important to identify the current state of the knowledge for a particular substance. (While ATSDR is continually reviewing substance-specific toxicologic data, some of the profiles could be a few years old.) New information regarding observed effect levels or low-dose behavior might be important in interpreting site-specific doses (see sections that follow).
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As described in Chapter 7 and in Appendix D, the health guidelines used in your screening analysis are generally extrapolated doses from observed effect levels in animal studies. Health guidelines are usually based on a "critical" or "key" studygenerally, the study reporting the most sensitive endpoint at the lowest dose level. Depending on the available data and the type of toxic response, observed effect levels are then adjusted by a series of uncertainty factors or through the use of statistical models to ensure that they are amply health-protective (see Figure 8-2). Setting screening values at levels well below those known to cause harm is consistent with the fundamental concept of public health: prevention.
When a health guideline is exceeded, a first step in understanding the public health significance of exceeding that guideline is to review and understand the basis for that guideline. Understanding the applicability and strength of the study data will be a primary tool in evaluating whether site exposures are expected to cause harm. The goal of the analysis is to determine where site-specific doses lie in relation to the observed effects levels reported in the studies of interest and whether differences between study data and the exposure scenario being evaluated make health effects more or less likely.
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When developing health guidelines such as MRLs, ATSDR toxicologists and others extensively study the toxicologic literature and weigh the scientific data (including the factors highlighted below). Reviewing the basis for an MRL and other health guidelines as part of this analysis in no way diminishes the importance of the health guideline; rather, it serves as a means of gaining perspective on how strongly the supporting toxicologic data suggest that harmful exposures have occurred or might occur under your site-specific exposure conditions.
Two key steps in this analysis involve (1) comparing site exposure doses with observed effect levels reported in the critical study (Section 8.3.1) and (2) carefully considering study parameters in the context of site exposures (see Section 8.3.2). You will generally find information on the critical study in ATSDR's toxicological profiles, in the section entitled Health Effects: Relevance to Public Health and in the appendix presenting ATSDR Minimal Risk Levels and Worksheets, or in EPA's IRIS database.
8.3.1 Compare Site-Specific Doses to Observed Effect Levels
Non-cancer effects
This step in the process involves comparing your substance-specific exposure dose to effect levels that are reported in the critical study used to derive the screening value that has been exceeded. (2) The health assessor should review the section of the toxicological profile in which the MRLs are derived. The assessor should note whether the MRL is based on a human or animal study and whether the MRL is derived from a NOAEL or LOAEL. The assessor should then compare the site-specific exposure dose to the NOAEL or LOAEL. (3)
If the site-specific exposures are well below a NOAEL that is based on a human study, the likelihood for adverse health effects in the exposed population would be low. If, however, the NOAEL is based on an animal study, exposure doses near the NOAEL could be of concern because of uncertainty in the relative sensitivity of animals as compared to humans. (In the absence of contrary information, it is prudent to assume that humans are more sensitive to the chemical than are animals.)
In some instances, an MRL is derived from a LOAEL, rather than from a NOAEL. The likelihood of adverse health effects increases as site-specific exposures approach a LOAEL derived from either a human or animal study. Because, by definition, LOAEL doses cause adverse health effects, exposures that approach or exceed a LOAEL are of concern and should be identified as a public health hazard.
The health assessor should also consider the relevance of the MRL study to the site-specific exposure conditions and the exposed population. If the MRL was based on a NOAEL in adults, and the population at the site includes a sensitive population such as children, the NOAEL might not apply to all segments of the population. The assessor should also consider the exposure scenario of the MRL study. In experimental studies, administration of a high bolus dose of a chemical to an animal could have a different effect than low-dose chronic or intermittent exposures in humans. Also, the assessor should consider the confidence in the MRL study; if similar findings have been reported in other studies, confidence in the study is enhanced. Section 8.3.2 of this chapter discusses other factors to consider when evaluating the relevance of the MRL study.
As you review and integrate exposure and health effects data, professional judgment is needed in weighing what is known and unknown, including uncertainties and data limitations. You may need assistance from other members of your site team or other technical specialists, including those with expertise in toxicology, epidemiology, medicine, and health physics. The assessor is also encouraged to consult with other health assessors to gain insight into how similar situations have been addressed previously.
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Cancer effects
In some cases, quantitative risk assessment might have been used in your screening analysis or by regulatory agencies evaluating your site. Regulators could call for cleanup of a site when theoretical cancer risks fall within the 10-6 to 10-4 range, but understanding the variables and assumptions involved in the derivation of these estimates and explaining in qualitative terms what exposure doses mean based on a review of the scientific literature is the purpose of the in-depth analysis.
As with all toxic endpoints, you need to look at site-specific doses in relation to observed effect levels and then provide context. Consider each of the following factors when evaluating cancer outcomes. This information should be used in the public health assessment to (1) qualitatively describe the cancer-causing potential of a particular substance, and (2) compare site-specific dose estimates with doses or exposure concentrations shown to result in cancer in experimental studies or epidemiologic studies. This process is aimed at weighing the available evidencein light of uncertaintiesand offering perspective on the plausibility of cancer outcomes under site-specific exposure conditions.
Discussions of carcinogens should therefore include these classifications. The most current cancer classification information can be obtained from ATSDR's comparison value tables, which are updated quarterly. More detailed information on the carcinogen classification for a specific substance can obtained through EPA, IARC, or NTP.
When discussing a chemical's carcinogenicity, explain in plain language what the different classification categories mean. For example, "human studies clearly link the substance of interest with certain cancers" or "while some animal studies have shown increased tumors after exposure to the substance of interest, human data do not suggest a link between the substance and cancer in humans." Note that ATSDR evaluates the relevance of animal data to humans on a case-by-case basis. In the absence of compelling data to the contrary, however, a substance that has been shown to cause cancer in animals is considered to be carcinogenic in humans.
As stated previously, various mathematical models have been developed to predict the potency of substances at low doses. These models are based on scientists' understanding of the slope of the dose-response curve at high doses, and a series of assumptions about substance-specific behavior at doses below the range of observation (e.g., below the point of departure). When applying these models, scientists have by default historically assumed no threshold (or linear dose-response). As scientists learn more about the mechanism or mode of action by which carcinogens act, they are learning that this might not always be the case (EPA 2003a; Bogdanffy et al. 2001).(4)
Health assessors are not expected to conduct the types of modeling analyses described above. However, considering the following questions will help the assessor understand the behavior of a particular carcinogen. This perspective is then communicated in the public health assessment document.
In cases where low dose extrapolations have been used to quantify a theoretical estimate of cancer risk, it is critical to put the calculated risk into perspective when discussing site-specific cancer hazards. Remember that any such estimate is based on several conservative assumptions to account for uncertainties. The true risk might be much lower; it might even be as low as zero (ATSDR 1993; EPA 2003a). Therefore, the health assessment team is encouraged to compare site doses with observed effect levels reported in the toxicologic and epidemiologic literature and discuss those site doses qualitatively in the context of issues presented throughout the remainder of this chapter.
Evaluating carcinogens in this mannerassuming scientific data are available to support the analysisprovide the type of information needed to better communicate hazard potential to the community. A balanced discussion of what is known and not known will help provide more meaningful perspective to the community.
As our understanding of substance-specific toxic action grows, public health conclusions can change. Toxicologists at ATSDR and at other agencies, such as EPA, are reviewing available toxicologic information on an ongoing basis to help ensure the most accurate and scientifically defensible assessment of substance-specific hazards. The examples below illustrate the potential significance of identifying, understanding, and communicating the current understanding of a substance's toxic action.
In examining tumor responses in mice exposed to chloroform, scientists have discovered that chloroform appears to work through a non-genotoxic mode of actionthat is, tumor responses are produced only at dose levels that result in cytotoxicity. Therefore, NOAELs have been identified both via ingestion and via inhalation routes of exposure below which no increases in cancer would be expected (Jorgenson et al. 1985; Larson et al. 1994 and 1996). As a result of these studies, EPA has determined that the oral reference dose (for non-cancer effects) for chloroform is protective against an increased risk of cancer, and EPA is currently working to revise its assessment for inhalation exposure (EPA 2001).
Using the newer inhalation data instead of the default linear dose extrapolation method could result in marked increases in predicted "safe" exposure concentrations. Based on this newer understanding, Larson et al. (1996) contrast a safe exposure concentration of 0.01 parts per million (ppm) of chloroform in air to the current IRIS value of 0.000008 ppm, even after applying an uncertainty factor of 1,000.
On the other hand, remaining uncertainties related to arsenic behavior at low doses have prompted regulators to lower the drinking water standard for arsenic.
The expertise of a toxicologist should be sought when seeking and interpreting any such data, but recognize that understanding the basis for the health guidelines that have been exceeded will, again, enable you to better communicate health hazard information.
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8.3.2 Assess the Relevance of the Critical Study
Whenever reviewing dose-response data, an understanding of the underlying study is pivotal. If the dose comparisons discussed above reveal the need for further analysis, judging the relevance of the critical study used in developing a health guideline to the site-specific exposure situation will provide another piece of information to guide health conclusions. (These factors are relevant when reviewing other studies as well). As the health assessor, you will add site-specific knowledge and insight that will be critical to this evaluation.
You should be able to perform the basic steps of a data review. Assessing the relevance of available studies requires both technical expertise and professional judgment. Numerous considerations beyond the scope of this guidance manual affect the quality of experimental data and its relevance to site-specific exposures. Most relate to experimental design. This list, and associated examples, should not be viewed as a complete guide for evaluating all toxicologic studies but as a general guide to aid you in the context of the public health assessment process. Again, work with the appropriate experts on your team when evaluating the importance and implications of such questions. In collaboration with the toxicologist and epidemiologist on your team, consider the following types of questions when evaluating how study features might make harmful effects more or less plausible.
Clearly, a study based on human data holds the greatest weight in describing relationships between a particular exposure and a human health effect. Fewer uncertainties exist about potential outcomes documented in well-designed epidemiologic studies.
Exceeding a guideline value based on human data provides relatively strong evidence for the potential for harmful effects. Similarly, falling below a NOAEL reported in a human study could provide support for a conclusion that adverse effects are unlikely. However, before making this determination, the health assessor should consider the quality of the study and the size of the exposed group. Similarities and differences between available study data and your site-specific exposure conditions (e.g., exposure route, chemical form) should also be considered.
The relevance of the findings of an experimental study to environmental exposures will be influenced by how the test animal received its dose (e.g., gavage/water, gavage/oil, water, food, or vapor). Often, the exposure route in experimental studies is different from the route by which people living near a site could be exposed. Identify and discuss the differences to provide the reader with a sense of how differences can influence the likelihood of adverse health effects.
For example, a laboratory study in which animals were administered a substance via gavage or drinking water might not directly apply to a soil-exposure scenario. This is because solubility is often an important component of how much and how quickly substances are absorbed, which might impact the nature of the toxic response. The form of the substance tested in water and gavage can differ considerably from the form present in soil. For similar reasons, a dietary animal study might not adequately represent exposures from drinking water.
As another example, pregnant rats gavaged with oil solutions of trichloroethylene (TCE) might be consuming much more TCE per dosing than pregnant women drinking from TCE-contaminated wells. The dose received by pregnant rats in oil could far exceed the dose even possible in drinking water because of differences in the solubility of TCE in oil as compared to water.
In addition to the method of dosing described above, the dosing regimen can influence the absorption and ultimately the effects observed in experimental studies. You will want to examine how closely, in relative terms, the study conditions match site-specific exposure conditions. Some questions to ask include: Were animals dosed continuously or intermittently? Were animals dosed over the short or long term?
For example, the same dose administered in the shorter term (e.g., 28 days) might produce different effects than those produced after a longer-term dose administration (e.g., 90 days). Because different dosing regimens can produce different effects or affect the severity of the observed effect, one can be more confident the more closely study data match site-specific conditions. If only acute or subchronic dose data are available, state the uncertainties of applying such data to longer-term exposures.
The form or valence state of a substance can affect its bioavailability, its distribution within the body, and ultimately its toxicity. If study data are not available for the form of the substance present at your site, determine and explain in the PHA whether the chemical form at your site could be more or less bioavailable, or more or less toxic, than the form used in the study.
For example, the oral intermediate MRL for uranium is derived from a drinking water study. This is an important consideration when estimating doses for the soil ingestion pathway. A review of human data indicates that the fractional absorption of soluble uranium compounds is an order of magnitude greater than that of insoluble uranium compounds (ATSDR 1999a). In weathered soils, insoluble uranium compounds will predominate. Therefore, using the MRL to assess exposure to uranium in soil would be overprotective, because of the reduced bioavailability of uranium in soil as compared to water.
As another example, most arsenic in fish is in an essentially non-toxic organic form known as arsenobetaine (fish arsenic). Inorganic arsenic, which is considerably more toxic, makes up only a small amount (120%) of total arsenic in fish (ATSDR 2000; Francesconi and Edmonds 1997; FDA 1993). Therefore, if you were evaluating arsenic exposures via fish ingestion, you would need to account for this factor.
If dose levels from animal studies (e.g., in mice, rats, monkeys) are being used to evaluate site exposures, determine whether any human or any in vitro studies are available that suggest a similar effect in humans. In addition, metabolism or mechanistic data, if available, could provide insight as to whether observed effects might be unique to, or different in, the study animal as compared to humans. If such data do not exist, assume that similar effects would occur in humans.
Some possible scenarios include: the metabolism of a chemical in animals could produce more or less toxic intermediates than in humans; the metabolism in humans could occur by another pathway and produce more toxic, non-toxic, or less toxic intermediates; or toxic intermediates could be produced at the high levels of exposures administered in the animal studies, but not at lower exposure levels. (See also discussion on toxicokinetics and mechanistic data in Sections 8.5.1 and 8.5.2, respectively).
While health-based guidelines are typically designed to be protective of the most sensitive effect, it is important to familiarize yourself with the range of effects associated with a given chemical in the dose range of concern. This could provide added perspective as well as help in addressing community health concerns.
For example, if an MRL is based on increased kidney weight in rodents and the community is concerned primarily about blood-related disorders, you might want to look beyond the critical study for substance-specific data related to hematologic effects following exposure to the substance of concern (see Section 8.4).
The bioavailability of a contaminant depends on its chemical properties as well as properties of the matrix. The bioavailability of a substance influences how much is absorbed by the human body and ultimately the potential for harmful effects. Bioavailability should be factored into the analysis when there is evidence that the chemical form at the site is more or less bioavailable than is the chemical form used in the studies being used for comparison purposes. The bioavailability of a compound is discussed in toxicokinetics section of the toxicological profile.
Substances in solid matrices (e.g., soil) might be less well absorbed while passing through the digestive tract than would the same substances in water. This could be due to the solubility of the substance and the property of the matrix. Some forms of a salt can bind tightly to soil, thereby reducing its bioavailability. For instance, some forms of arsenic bind tightly to soil and are therefore not readily absorbed in the human digestive system. On the other hand, the same form of arsenic in drinking water can be released from the matrix and more readily absorbed (Alexander 2000). Ultimately, the rate of substance dissolution will determine its uptake and availability (Hardman et al. 1995).
Identify any problems or limitations with the studies used to support your analysis. In most cases, uncertainties and limitations will be discussed in the Health Effects section of the toxicological profiles and in the discussion of the MRL derivation. IRIS summaries also discuss uncertainties and confidence in the critical studies evaluated by EPA.
The PHA should describe any limitations, uncertainties, and data gaps found in the available literature. Describe in qualitative terms the uncertainty factors used in the development of health guidelines. Also discuss the level of confidence in the studies as well as their overall applicability to site-specific exposures. The higher the confidence or level of certainty, the more weight the study will hold in your analysis.
As previously discussed, health guidelines are generally based on the lowest observed adverse effect levels reported in the literature, very often from a single study. In addition to the critical study, other studies can provide substance-specific, dose-response data. For substances of potential concern at a given site, the health assessor would never be expected to perform an exhaustive review of these studies. However, reviewing the larger toxicologic and epidemiologic database (e.g., the levels of significant exposure summarized in the toxicological profiles) provides additional supporting evidence for public health assessment discussions.
In the in-depth analysis, one looks beyond single points on the dose-response curve to gain a fuller understanding of the range of effects and effect levels observed in experimental studies. Both the shape and slope of the dose-response curve can help explain where site-specific exposures lie in the larger scheme of things. This will often help provide the perspective community members seek, and it will help you decide which, if any, harmful effects might be possible. In some cases, consistent findings might be seen across studies. For other substances, findings might be more disparate.
The most important thing for the health assessor to keep in mind is how to describe in plain language what is known and not known about the toxicity of a particular substance. Questions to consider include:
Recognize the importance of not taking dose-response data at face value. The criteria described in Section 8.3.2 should be considered carefully. Remember, the critical study has been identifiedafter careful review of the scientific literatureas the best for developing protective health guidelines. The purpose of this exercise is not to discredit that effort, but to encourage consideration of the bigger picture.
The exposure levels and associated outcomes, when available, can sometimes be used for comparison purposes with site exposures. For example, take the following scenario: Community members are concerned about low levels (2 parts per billion [ppb]) of a particular contaminant in drinking water that they have been drinking for approximately 10 years. They believe leukemia rates are elevated. Two independent studies of community drinking water supplies with 100 ppb of the same contaminant revealed no elevated leukemia or any other cancers in populations exposed for 30 years. In this case, the epidemiologic data might provide evidence supporting the fact that site exposures are unlikely to produce cancer effects at site exposure levels, notwithstanding possible study shortcomings. Furthermore, an understanding of toxicologic and epidemiologic data can help determine the biologic plausibility of a particular health outcome. Note that, depending on the community concern and other factors, an evaluation of health outcome data can be considered in such a case (see Section 8.6.1).
Because of the inherent limitations and uncertainties associated with environmental epidemiologic evaluations (generally due to the lack of adequate exposure data or sample size), epidemiologic data described in a toxicological profile or other sources should be used with caution. The health assessor should therefore call upon an epidemiologist to assist in evaluating the applicability and usability of literature-based or site-specific epidemiologic data.
Criteria have been established to guide epidemiologists in evaluating the strength of human data and should be kept in mind when you review and communicate such data in the context of your site-specific data (see text box below).
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As depicted in Figure 8-3, multiple factorsother than the detected environmental concentration or exposure doseinfluence whether an exposure could result in harmful health effects and what the type and severity of those health effects will be. A substance will only produce adverse or toxic effects if it or its metabolites reach specific sites in the body at a concentration and over a duration sufficient to produce an adverse effect. Whether exposure could lead to an adverse health outcome depends on the duration and characteristics of exposure and on the characteristics of the receptor population (e.g., developmental stage, existing disease state, genetics) that could make them more or less susceptible to site-related exposures. These factors are generally considered in the development of health guidelines and during the screening analysis, but might need to be examined more closely at this stage of the public health assessment process and described in your PHA narrative.
This section provides a brief overview of these factors and how they could weigh into your public health conclusions.
Substance-specific toxicokinetic or pharmacokinetic properties (e.g., absorption, distribution, metabolism, and elimination) largely influence whether a substance will reach a target organ and produce a toxic effect. If available, such information can be obtained from the toxicological profile or other data sources for toxicokinetic summaries. Determine what is known and not known about the extent to which a substance is absorbed. Also, how it is distributed through the bloodstream, changed to different forms, excreted, or ultimately delivered to target organs. When available, toxicokinetic data can be used in various ways to support your health effects evaluation. For example, it can used in interpreting the relevance of animal studies to human exposuresthat is, by determining whether any distinct differences between animals and humans have been documented. For example, does the metabolism of the substance in animals produce more or less toxic intermediates than in humans? Is the substance absorbed more or less in animals compared to humans? Note that, in absence of data to the contrary, bioavailability is assumed to be the same in animals and humans under similar exposure conditions. For some substances, quantitative data can allow you to compare the bioavailability of a substance in experimental animals and humans.
Knowledge continues to grow on how various toxic substances produce biologic changes and the significance of those changes. In fact, this growing knowledge is modifying how human health hazards are assessed.
While this type of analysis is best left to the toxicologists, reviewing documentation (e.g., toxicological profiles, IRIS) on the nature of biologic changes triggered by a particular substance can be helpful in evaluating the behavior of that substance at low doses. Further, understanding the basic or specific biologic changes that ultimately lead to clinical disease in a test animal can aid in determining how well animal models might predict the same type of adverse effect in humans. A toxicologist might ask, for example, if the animal mode of action is plausible in humans, taking into consideration the kinetic and dynamic factors discussed above.
For a limited number of chemicals where biologic uptake and mode of action have been well studied and defined, physiologically based pharmacokinetic (PBPK) models have been developed to estimate dose levels in various body compartments and organs (e.g., lead). These models involve a series of mathematical equations that describe the pharmacokinetics of a chemical. Inputs into the models include the exposure dose and model parameters, such as tissue volumes, blood flow rates, partition coefficients, and metabolic rates. The output is the predicted internal dose (or target tissue dose). PBPK models are also beginning to be used to evaluate chemical mixtures (ATSDR 2001a; Krishnan et al. 2002).
Pharmacodynamic (PD) models are also available; these mathematical models describe the quantitative relationship between the target tissue dose and cellular and molecular changes associated with adverse health effects. Increasingly, PD models account for damage, repair, and compensation, and predict dose-response over a range of doses, both within and between species.
When PBPK or PD models are available and are applied, they can help to reduce the uncertainty in the health evaluation. Also, the models eliminate the need for cross-species extrapolation because they can account for differences in rates of biologic processes. For some substances, toxicologists have used such models in deriving health guideline values. The data used to support the model (e.g., metabolism and distribution data) can provide added perspective of how closely linked a particular dose might be to an adverse health effect. Although health assessors would not be expected to apply all of these types of models, an understanding of the general underlying principles can support the site-specific analysis, as described above.
Models also exist to estimate the radiation dose to specific organs and tissues, as well as total body dose. Like chemical exposures, ionizing radiation can produce many different effects, depending on (1) the type of radiation, (2) the radionuclide and its metabolic products, and (3) the dose received by the critical or most sensitive organ. When evaluating exposures to radiological contamination, enlist the help of a health physicist. See text box below for special considerations for radiological contaminants.
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8.5.3 Sensitive Populations and Life Stages
Some substances have been shown to cause greater harm in particular populations or when exposure occurs at a particular point in life (e.g., fetal development). It is ATSDR policy that children's health issues must be considered at all sites (ATSDR 1998).
It is important to remember that sensitive populations are considered when MRLs and other health-based comparison values are developed. An uncertainty factor (e.g., a factor of 10) is generally applied to help ensure sensitive populations are amply protected. In addition, comparison values are developed to specifically account for children's exposures. Identifying or accounting for potentially sensitive or more highly vulnerable populations should also be a key component of your exposure pathway analysis (Chapter 6) as you estimate site-specific doses (Chapter 7). Thus when comparison values are not exceeded, health assessors can be confident that it is highly unlikely that even the most sensitive populations would be adversely affected.
However, when site-specific doses exceed comparison values, site- and substance-specific factors should be re-examined to evaluate to what extent, if any, a particular population is at increased risk of harm. Information on potentially sensitive populations can be found in the toxicological profiles in the section titled, Populations that are Unusually Susceptible. As stated, ATSDR places particular emphasis on children as a potentially sensitive population. For information on children's susceptibility, the health assessor should read those sections of the toxicological profiles that specifically discuss the susceptibility and exposure of children to chemicals (Children's Susceptibility and Exposures of Children).
Characteristics of certain populations might make them more sensitive to environmental exposures because of underlying disease, other physiologic factors, or non-site related exposures. Many of these issues should be first addressed and highlighted during the exposure pathway and screening analyses (see Chapters 6 and 7). At this point in the analysis, you need to determine whether special characteristics of the substance and of the site community might affect public health conclusions.
The literature suggests that elderly populations may have significantly heightened susceptibility to some contaminants because of lower functional capacities of various organ systems, reduced capacity to metabolize foreign compounds, and diminished detoxification mechanisms. It is difficult to generalize, however, due to variations across individuals and different rates in biological system breakdown (Hardman et al. 1995). Another important consideration is that older individuals may have much different exposures than younger adults and children.
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8.5.4 Multiple Chemical Exposures
The approaches outlined in this manual focus largely on evaluating chemical-specific and pathway-specific exposures. That is, health effects are examined for individual chemicals for specific exposure pathways (e.g., ingesting benzene in drinking water). In reality, exposures can involve multiple chemicals and can occur through more than one exposure pathway. Approaches for evaluating the effect of multiple pathways are discussed in Chapter 7. This section highlights how to approach multiple-chemical scenarios.
The health impact of exposure to chemical mixtures can be of particular concern at hazardous waste sites, since most contain multiple chemical contaminants. While in many cases it might suffice to evaluate exposures on a chemical-by-chemical basis, in some cases you might need to examine the combined action of chemicals (e.g., additive, antagonistic, synergistic, and other interactive effects).
A first step in understanding the potential significance of multiple chemical exposures is to read the Interactions with Other Chemicals section of the toxicological profile about any known interactions among the substances detected at your site. These profiles can provide insight regarding what is known and what is not known about interactions among various pollutants. For many chemicals, however, information on toxic interactions is lacking, and the available literature focuses on the effects of chemical interactions at exposure doses that are much higher than those that are typically encountered at hazardous waste sites. Furthermore, even though limited information for some chemical mixtures is available, no empirical data set could account for the infinite array of chemicals in varying proportions that can be found at sites.
When conducting public health assessments, it is particularly important to understand potential toxic interactions at environmentally relevant doses of chemicals. However, relatively few studies have been conducted to assess toxic interactions in these low dose ranges. A series of important studies on the toxicity of low dose chemical mixtures was conducted by the TNO Nutritional and Food Research Institute in the Netherlands (Jonker et al. 1990; Jonker et al. 1993). In these experiments, rats were dosed with mixtures of chemicals at doses near their individual NOAELs and LOAELs. The results of these experiments indicated that there was no discernable toxic response until the dose levels of the individual chemicals approached or exceeded their individual thresholds. However, when the chemicals were administered at their individual LOAEL doses, there was clear evidence of additive toxic effects. Furthermore, additive toxicity was observed even though the chemicals had different mechanisms of toxicity.
Other studies have provided evidence that exposure to chemical mixtures, in which the chemicals were administered at doses that were near their individual thresholds, can produce additive toxic effects. For example, rats exposed to a mixture of subthreshold doses of 1,1,1-trichloroethane, trichlorethylene, and tetrachloroethylene experienced signs of liver toxicity (Stacey 1989). In an oral feeding study, rats were dosed with cadmium and lead. Neither metal, by itself, significantly affected hemoglobin or hematocrit levels; but when the metals were administered as a mixture, significant decreases in these parameters were observed (Mahaffey and Fowler 1977).
However, there is no evidence of additive toxicity from exposure to chemical mixtures when the individual chemicals are administered at doses that are well below their individual thresholds (Seed et al. 1995; Wade et al. 2002). Nevertheless, the threshold doses for many toxic endpoints in animals are not well defined. Therefore, it is prudent for the health assessor to consider the potential for toxic effects from exposure to chemical mixtures at all sites. Inthe health assessment, the assessor should indicate that he has evaluated exposures to chemical mixtures and considered the potential for chemical mixture interactions.
As part of this evaluation, the health assessor should calculate a Hazard Index (HI) for the mixture of chemicals at a site. A HI is defined as the sum of the quotients of the estimated dose of a chemical divided by its MRL or comparable value. In mathematical terms,
HI | = | Dose1 MRL1 |
+ | Dose2 MRL2 |
+ | Dose3 MRL3 |
+ | . . . . . | Dosen MRLn |
For additional information on calculating an HI, see ATSDR's Guidance Manual for the Assessment of Joint Action of Chemical Mixtures. This manual is available on CD-ROM and on the ATSDR Web site.
If the HI is less than 1.0, it is highly unlikely that significant additive or toxic interactions would occur, so no further evaluation is necessary. If the HI is greater than 1.0, then further evaluation is necessary as described below.
For chemical mixtures with a HI greater than 1.0, the assessor should compare the estimated doses of the individual chemicals to their NOAELs or comparable values. If the dose of one or more of the individual chemicals is within one order of magnitude of its respective NOAEL (0.1 x NOAEL), then there is a potential for additive or interactive effects. Under such circumstances, the assessor should conduct an in-depth mixtures evaluation as described in ATSDR's Guidance Manual for the Assessment of Joint Action of Chemical Mixtures.
If the estimated doses of the individual chemicals are less than one-tenth of their respective NOAELs, then significant additive or interactive effects are unlikely, and no further evaluation is necessary. In some instances, however, the assessor might choose to evaluate further the potential for additive or interactive effects because the chemicals in the mixture have the same target organ, have the same mechanism of action, or for other reasons. In these instances, the assessor can conduct an in-depth quantitative mixtures analysis as described above.
Another valuable resource for information on chemical mixtures is the Interaction Profiles for priority chemical mixtures. ATSDR is developing these profiles for chemical mixtures that are of special concern to ATSDR, such as Persistent Chemicals Found in Fish (ATSDR 2002). These documents use a weight-of-evidence approach to evaluate the influence of interactions in the overall toxicity of the mixture. The documents also develop target organ doses that can be used to evaluate the impact of the chemical mixture on different target organs.
Another line of evidence that can provide additional site-specific perspective is the availability of meaningful health outcome data or human exposure data. In certain cases, data from health outcome data evaluations can provide evidenceranging from weak to strongof plausible associations between substance- or site-specific exposures and human health effects. In some cases, biologic data (e.g., site-specific substance concentrations in blood or urine) collected as part of exposure investigations, might be available and offer some insight on the extent of actual exposure (beyond the exposure-dose estimates generated from environmental concentrations). In rare cases, individual medical reports might be available, documenting symptoms or the results of clinical examinations. Note, however, that in most cases there is a lack of data to correlate biologic levels with health effect levels. This section describes how to determine whether such data can help support your public health conclusions.
This section provides guidance to health assessors for addressing health outcome data in the public health assessment process. Health outcome data are existing data that measure disease mortality or morbidity. Health outcome data analyses or reviews are descriptive epidemiologic analyses.
In all public health assessments, ATSDR is required by the Superfund law to consider the evaluation of mortality and morbidity data (e.g., health outcome data). The law indicates that a public health assessment should include relevant health outcome data analyses when exposure to site contaminants could have resulted in the development or exacerbation of health effects. The guidance presented below reflects the deliberations of the ATSDR Work Group, whose members examined the decision criteria used to evaluate the appropriate use of health outcome data in the public health assessment process.
Decisions about how to use or analyze health outcome dataor whether to use it at allshould be made with the assistance of various disciplines. To reach a prudent decision, a health assessor might include input from epidemiologists, statisticians, toxicologists, community involvement specialists, health educators, and environmental scientists such as engineers or geologists.
Inclusion of a health outcome data evaluation in a public health assessment can achieve the following if it is determined that it is appropriate to include such an evaluation:
Traditionally, at the outset of the public health assessment process, the health assessor in concert with the site team gathers community concerns and informs community members about ATSDR products and services. During this period the site team should provide to community members information about the utility of analyzing health outcome data. Specifically, community members should be informed of how ATSDR uses health outcome data, when it is available, and the criteria and rationale used to determine whether a health outcome data evaluation would enhance the public health assessment decision-making process. Therefore, regardless of whether health outcome data are used in the public health assessment itself, the analysis of the criteria for each site, as described below, is in essence the first step in the evaluation of health outcome data.
The team should use the answers to the following questions as a guide in determining whether a public health assessment should include analysis and interpretation of site-related health outcome data. See also Figure 8-4.
The criteria below focus on site-related exposure considerations only. Regardless of what path you follow, your PHA discussions must clearly describe the rationale for the decision, and how your exposure evaluation factored into the decision. In some cases, community concern about illness in their community could be a sufficient trigger to pursue health outcome data, even in the absence of a potential or completed exposure pathway. Assuming data are available for the disease(s) of concern and the geographic unit under evaluation, a health outcome data evaluation would determine whether disease rates are elevated in the community. While no possible site-specific link might exist, information regarding the presence or absence of elevated disease rates could either help allay fears or identify a disease trend in the community warranting follow-up.
The decision to proceed under such circumstances is left to the discretion of the site team, but is generally not considered part of the public health assessment process.
A reasonable estimate of the length of exposure is necessary for determining whether the health outcomes evaluated are site-related. This ensures that the health outcome data being analyzed could be the result of exposure to site contaminants. The relevant exposures could have been for a few days or many years before the onset of disease, depending on the chemical involved, the age of the individual exposed, the specific health outcome, and other factors. The health assessor should ensure that the available health outcome data are from the time period when site-related health effects are likely.
Statistics might be available showing the number of people identified with certain health outcomes in a selected population. However, an estimate of the number of people exposed is needed to calculate the rate of health outcomes among the exposed population. This information is required to adjust the mortality or morbidity (i.e., incidence/prevalence) rates in the exposed population to the population(s) used for comparison (i.e., non-exposed) to determine any difference in disease rates. To identify the exposed population, the health assessor needs information on where exposure occurred (i.e., geographic extent of exposure).
Analysis of health outcome data could be impractical in sparsely populated areasthe population is too small to measure the rate of a disease. For example, if the "expected" rate for a particular disease is 5 in 1,000,000 and the exposed population only numbers 100, the absence of this disease over a short time period in the exposed population in itself will not provide much perspective. Moreover, if the disease of interest is very rare it could require a large population or, at the very least, several years of mortality or incidence data to allow any useful interpretation. Alternatively, the presence of one or two cases of a rare disease in a small, exposed population does not automatically link the exposure to the disease. It is important to identify the time period in which the cases occurred and any known risk factors, other than the exposure, that could be present in the exposed population.
Analysis should not be done if quantitative exposure data for the exposure period of interest and the exposure doses calculated from those data are below the no observed adverse health effect level (NOAEL), or if there is no NOAEL, the lowest observed adverse effect level (LOAEL) for the chemicals being evaluated.
Qualitative exposure estimates come from exposure scenarios in which strong circumstantial evidence suggests that exposure occurred for long enough and at a sufficient enough concentration for health effects to be possible. Such evidence could include monitoring data from nearby areas, violations of air-release or water-discharge permits, reports from residents, observations by the health assessor or other knowledgeable individuals, or other relevant information. Qualitative estimates should be based on more than one type of evidence and should be made in consultation with knowledgeable environmental staff.
To assess potential site-related effects, health assessors need to be able to separate the health outcomes for the exposed population from the unexposed population (at least as much as possible). If the area for which the disease rate can be calculated using the health outcome data is much larger than the area exposed, then exposure mis-classification bias will be introduced, and disease risks will be severely underestimated. For populations with past exposures, a site with high population turnover (in- and out-migration) could be the basis for not analyzing health outcome data because of the possibility of exposure mis-classification.
The health outcomes likely to occur from exposure to site contaminants might not be in the available databases. For example, if exposure to a contaminant is linked to birth defects but not to cancer, it is not appropriate to evaluate cancer data because they are available and birth defect data are not.
If a health outcome data analysis is performed, there should be a coordinated effort among all the staff involved with the site to inform or educate community members. Also, the community should be informed about the strengths and limitations of descriptive epidemiologic analyses.
In particular, the community must be made aware that descriptive epidemiologic analyses cannot establish cause and effect. Elevated disease rates alone cannot be considered conclusive evidence that living near a waste site is the sole cause for the occurrence of a specific disease. Health outcome or descriptive epidemiologic analyses are only an initial step in determining the nature and extent of disease in the community around a site, and what that might mean.
If it is decided that a health outcome data analysis should be included in the public health assessment, the team should seek assistance from an epidemiologist knowledgeable in analyzing mortality and morbidity data.
Every public health assessment should include a brief description of the requirement to consider health outcome (mortality and morbidity) data and the reasons why a health outcome data analysis was or was not included in the document. If a health outcome data analysis is included, then the public health assessment should have a concise description of the methodology used and the results and limitations of the analysis.
In some cases, biologic data might be available to further define or quantify exposures to site contaminants. Biologic data for exposed or potentially exposed populations can provide additional evidence when evaluating potential health effects. Depending on the levels detected, it could support or disprove plausible biologic outcomes. Site-specific, biologic sampling results must be interpreted with caution. Specifically, issues that you and the other experts on your team need to consider include:
Biologic testing is most commonly conducted using blood or urine samples. However, background or reference ranges for many chemicals in blood or urine have not been well defined. The utility of hair analysis as a biomarker of exposure to environmental contaminants is not well established except for methylmercury (ATSDR 2001b; Harkins and Susten 2003).
When biomonitoring data are available, they can provide additional perspective for the health assessor. Measured levels can be compared to levels shown in the literature to be associated with overt clinical effects from case studies or more subtle effects that might be inferred from population-based studies. Useful information sources on biomarkers include ATSDR's toxicological profiles (sections related to biomarkers) and Case Studies in Environmental Medicine. In addition, human exposure data for selected environmental contaminants are being collected as part of the CDC's National Health and Nutrition Examination Survey (NHANES).
In 2003, the National Center for Environmental Health reported biomonitoring data for 116 environmental chemicals in the non-institutionalized, civilian U.S. population (CDC 2003). In the future, the list of chemicals will be expanded to include other important environmental contaminants. These data are valuable in comparing an individual's exposure to a chemical to exposure levels in the general U.S. population. However, these data only reflect national exposure levels, and they are not indicators of potential adverse health outcomes. Health assessors should consult with medical professionals and toxicologists for guidance in interpreting the health significance of biomonitoring data.
8.6.3 Medical Data and Information
Medical data, such as individual medical reports or logs of health conditions reported by community members, could be presented to ATSDR for evaluation in the public health assessment process. This type of data could provide some additional insights to health issues in the site community. But any form of medical data must be used and interpreted with caution. First, if the data are privileged or confidential, precautions must be taken to respect the individual's right of privacy (see Chapter 3, Section 3.5). Second, the documentation of a particular medical condition in an individual(s) does not inform you of causes or patterns of disease in the community. It is necessary to identify plausible biologic links between exposure and reported medical concerns. Credible reports of illness or disease, along with available health outcome data, can be used to support recommendations for public health actions, such as targeted biologic sampling or a health study.
As you and your team consider the topics highlighted in this chapter, you will face the challenge of integrating and communicating the findings of the analysis in a clear and concise way in the public health assessment document. As mentioned repeatedly, the goal of the in-depth analysis is to put site-specific exposures into perspective. This requires integrating the exposure and health effects data that have been identified throughout the public health assessment process and describing in qualitative terms those exposures most likely to be of public health concern and most likely to require public health action. As part of this process, you will probably need to integrate conclusions generated by a variety of analyses and, possibly, performed by various specialists.
The Discussion section of the public health assessment document should include narratives describing the exposures that could be of greatest concern. It should also state clearly those exposures that are not of public health concern. Keep the main discussions brief and include only information that will help the reader understand the public health conclusions. The focus should be on the possible health concerns of the potentially exposed populations. Do not present a mini-toxicological profile with information that has little relevance to the site or to the exposure situation under discussion (e.g., describing all physical characteristics of the chemical, all reported adverse effects, etc.). Include in-depth toxicologic evaluations and dose calculations in an appendix, as determined by the information needs of your audience.
Because sites differ, the emphasis of discussions can vary depending on site-specific conditions. No specific formula can evaluate the range of exposure conditions that might be observed across sites. No specific weighting factors can be assigned to each factor considered throughout the analysis. The process is one of judgment. Still, use of the guidance presented throughout this chapter and, when assimilating the findings of the analysis, consideration of the following questions will help ensure the scientific evidence is explained in a clear and consistent manner across sites. You will be building on information from other steps in the public health assessment process.
Be as explicit as possible about why exposure levels are or are not expected to be a potential problem. For example, do not state that "groundwater contaminant exposure levels were too low to be of health concern." Instead, indicate that "exposures to detected groundwater contaminants are not expected to result in adverse health effects because dose estimates were 5,000 to 10,000 times lower than those shown to cause harmful effects in both human and experimental animal studies." Qualifying terms such as "low" or "high" by providing a comparison will help provide perspective. Also, state any assumptions used in your dose estimates (e.g., ingestion rates, exposure duration).
The two hypothetical scenarios presented below help illustrate the concepts presented in this chapter, including sample narratives. The first example offers a somewhat exaggerated set of conditions to emphasize the components of an in-depth analysis and the decision-making process. The second example presents a scenario in which exposure doses fall closer to observed effect levels, but in the past only; it illustrates the way in which observations and uncertainties would be communicated.
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