Back to Journals » International Journal of Women's Health » Volume 8

Fetal alcohol-spectrum disorders: identifying at-risk mothers

Authors Montag A 

Received 24 February 2016

Accepted for publication 26 May 2016

Published 21 July 2016 Volume 2016:8 Pages 311—323

DOI https://doi.org/10.2147/IJWH.S85403

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 5

Editor who approved publication: Professor Elie Al-Chaer



Annika C Montag

Department of Pediatrics, Division of Dysmorphology and Teratology, University of California San Diego, San Diego, CA, USA

Abstract: Fetal alcohol-spectrum disorders (FASDs) are a collection of physical and neuro­behavioral disabilities caused by prenatal exposure to alcohol. To prevent or mitigate the costly effects of FASD, we must identify mothers at risk for having a child with FASD, so that we may reach them with interventions. Identifying mothers at risk is beneficial at all time points, whether prior to pregnancy, during pregnancy, or following the birth of the child. In this review, three approaches to identifying mothers at risk are explored: using characteristics of the mother and her pregnancy, using laboratory biomarkers, and using self-report assessment of alcohol-consumption risk. At present, all approaches have serious limitations. Research is needed to improve the sensitivity and specificity of biomarkers and screening instruments, and to link them to outcomes as opposed to exposure. Universal self-report screening of all women of childbearing potential should ideally be incorporated into routine obstetric and gynecologic care, followed by brief interventions, including education and personalized feedback for all who consume alcohol, and referral to treatment as indicated. Effective biomarkers or combinations of biomarkers may be used during pregnancy and at birth to determine maternal and fetal alcohol exposure. The combination of self-report and biomarker screening may help identify a greater proportion of women at risk for having a child with FASD, allowing them to access information and treatment, and empowering them to make decisions that benefit their children.

Keywords: fetal alcohol-spectrum disorder (FASD), alcohol, pregnancy, screening, biomarkers, SBIRT

Introduction

Fetal alcohol-spectrum disorders (FASDs) are a collection of diverse disorders all caused by prenatal alcohol exposure (PAE). FASD is the leading known cause of developmental disabilities, and represents a serious international public health problem. Over the past four decades, research has established specific patterns of physical effects and an array of neurobehavioral harms resulting from PAE.15

As our ability to diagnose FASD improves, and more active case-ascertainment research studies are performed, more realistic prevalence estimates from more populations are becoming available. While there are no reliable global estimates of FASD prevalence, studies from the US, European and Scandinavian countries, Australia, and South Africa have estimated that as many as 5% of the general population may be affected.611 Higher FASD-prevalence rates may occur among specific subgroups, eg, people who are in foster care, adopted, or incarcerated.1214 Estimates vary, due to cultural differences in patterns of alcohol consumption and contraceptive use, as well as methods of FASD ascertainment and differential occurrence of modifying factors.7

Despite increasing awareness of FASD, PAE remains a problem. Recently published data from the 2011–2013 National Survey of Family Growth estimated that 7.3% of women of childbearing age in the US (3.3 million women) were at risk of an alcohol-exposed pregnancy.15 Women were considered “at risk” if they were non-pregnant and nonsterile, consumed alcohol, and had sex with a nonsterile male. Similar or higher risk estimates have been reported elsewhere.1621 The national 10-year objectives designed to improve the health of Americans – Healthy People 2020 – emphasized the importance of FASD prevention with three separate goals: “Increase abstinence from alcohol among pregnant women” (maternal, infant, and child health [MICH]-11.1); “Increase the proportion of women delivering a live birth who did not drink alcohol prior to pregnancy” (MICH-16.4); and “Reduce the occurrence of fetal alcohol syndrome” (MICH-25).22 Are risk factors for alcohol-exposed pregnancy identical to risk factors for giving birth to a child with FASD? Clearly, they are not. For example, in the National Survey of Family Growth study, older age and having completed fewer years of education were not associated with greater risk of PAE, whereas in most studies they are risk factors for having a child with FASD. Part of the answer as to why risk factors for alcohol-exposed pregnancy and giving birth to a child with FASD are different lies with modifiers of risk that are unevenly distributed among population groups. Another part of the answer lies in our ability to detect alcohol effects. Finally, not all women who are at risk of having an alcohol-exposed pregnancy will give birth.

Investigations into identification of women at risk of giving birth to a child affected by FASD are complicated by challenges in diagnosing FASD. There are many reasons that children are not diagnosed with FASD or misdiagnosed.2327 The cardinal facial dysmorphologies of fetal alcohol syndrome, the most complete manifestation under the umbrella diagnosis of FASD, are typically seen in a small subset of affected persons, leaving the majority of those affected without the more visible physical features.7 The timing, pattern, and magnitude of exposure contribute to differing outcomes. The wide variety of disabilities caused by PAE can have similar characteristics to conditions with different etiologies, such as nutritional deficiencies, genetic factors, or environmental exposure, leading to underdiagnoses or misdiagnosis.28 There may be limited knowledge regarding FASD and differential diagnoses among parents and health care professionals.26 Modifiers of risk, such as nutrition, maternal education, and maternal mental health, to name a few, confound diagnosis by concealing the damage due to alcohol among more privileged groups. The diagnostic process requires a multidisciplinary team assessment and is supported by a documented history of PAE, which is frequently unavailable.26 Even when the biological mother can be queried, reliance upon maternal self-report to establish a history of PAE is a considerable limitation, due to varying amounts of suspected underreporting.29 Neurodevelopmental deficits in the children may not manifest until school age, adolescence, or adulthood, and may be obscured by co-occurring mental health disorders.30 In addition, there has been reluctance among some medical professionals to provide this diagnosis for fear they may stigmatize the child or their family.31 Recently adopted diagnostic guidelines for neurodevelopmental disorder with PAE may facilitate diagnosis in people without evident physical effects.32 Better detection of children affected by FASD will lead to improved understanding of maternal risk factors.

This paper addresses ways in which mothers at risk of having a child with FASD may be identified. It is important to identify mothers at risk of having a child with FASD because it allows us to reach them with prevention and risk-reduction interventions. Prior to pregnancy, interventions may focus on contraception, pregnancy planning, and awareness of FASD. During pregnancy, there is benefit to the cessation and/or reduction of alcohol exposure and the implementation of potential “rescue” interventions, such as nutritional supplements (or future pharmacological therapy). Early postnatal interventions are crucial to limiting secondary disabilities. Identifying mothers at risk will also facilitate diagnosis of the child. Early diagnosis with FASD has a protective effect; children not diagnosed experience higher rates of secondary disabilities, including disrupted education, delinquency, institutional confinement, inappropriate sexual behaviors, and alcohol/drug problems,33,34 as well as mental health issues.35 Identification of mothers at risk may also benefit future children. Without intervention, alcohol exposure is likely to be repeated in later pregnancies,36,37 with younger children more severely affected than older children.38,39 The studies cited in Tables 1 and 2 were chosen based on relevance and rigor of study design.

Table 1 Maternal or pregnancy characteristics commonly associated with having a child with fetal alcohol-spectrum disorder
Abbreviations: SES, socioeconomic status; BMI, body mass index.

Table 2 Biomarkers
Note: Heavy consumption = three or more drinks/occasion.
Abbreviations: MCV, mean corpuscular volume (of erythrocytes); GGT, γ-glutamyltransferase; CDT, carbohydrate-deficient transferrin; EtOH, ethanol; FAEEs, fatty acid ethyl esters; EtG, ethyl glucuronide; EtS, ethyl sulfate; PEth, phosphatidylethanol; DBSs, dried blood spots.

There are currently three major approaches to identifying specific women at risk of having a child with FASD: 1) using characteristics that may help to “profile” a woman at risk, 2) using laboratory biomarkers of alcohol exposure, and 3) asking the mother herself about her drinking habits and pregnancy history. Of these approaches, the least effective and most likely to limit ascertainment is the first. This method will exclude a huge swath of women who may give birth to affected children whose disabilities are less likely to be diagnosed. All women should be given the opportunity to have a pregnancy free of risks due to alcohol, and all children should have the opportunity to achieve their full potential. Using laboratory markers and screening for risk, in combination with prepregnancy education and counseling, may identify a greater proportion of women at risk and empower them to make decisions that benefit their children.

Maternal characteristics

The maternal characteristics most commonly found to be associated with having a child with FASD are illustrated in Table 1. The only critical risk factor is consumption of alcohol in pregnancy. Women who do not consume alcohol during pregnancy do not give birth to children with FASD. Greater quantities and frequencies of alcohol consumption increase risk.40,41 The highest risk is associated with heavy episodic or “binge” drinking, as this results in the highest blood-alcohol levels.42 While the proximal risk factor may be alcohol consumption, the relationship between magnitude of exposure and outcome is not consistent among population groups or individuals. The remaining factors in Table 1 serve to modify the effect of alcohol consumption on outcome.

Common to many studies is the finding that older maternal age at the birth of the child, along with higher parity and gravidity, are associated with increased risk of giving birth to an affected child, as well as increased risk of having a child who is more severely affected. Perhaps older women, like those women who drink daily, find it more difficult to decrease drinking in pregnancy, because drinking has become an entrenched habit.43 The nutritional demands of each pregnancy may deplete maternal reserves, effectively limiting availability to future pregnancies, and alcohol consumption may interfere with the absorption of nutrients. Nutritional inadequacies are similarly linked to both increased risk and increased severity of outcome. They may potentiate the effect of alcohol by means of eliminating fail-safe mechanisms.4446 Fetal alcohol syndrome appears to be more prevalent in areas where there is undernutrition. Suboptimal status on selected micronutrients or dietary intake has been identified among vulnerable populations in parts of the world where some of the highest rates of FASD are found, eg, South Africa,47 Russia, and Ukraine.48 At least one study exploring nutrient supplementation in high-risk pregnancies has documented improved cognitive outcomes in prenatally exposed infants.44,49 Nutrition may be one of the reasons that having a child affected by FASD is a strong risk factor for having subsequent affected children.50

Data regarding maternal body size and the risk of prenatal alcohol vary geographically. In much of the world, lower body mass index and smaller body size are associated with increased risk of having a child with FASD. This association is less evident in the US. For a given amount of alcohol consumed by the mother, smaller body size may lead to greater blood-alcohol levels reaching the fetus, due to less dilution and less first-pass metabolism. It may also be indicative of longer-term or life-long suboptimal nutrition and possibly generational effects of PAE.

When it comes to fetal alcohol syndrome, the most vulnerable in society bear the greatest burden of risk. This may be partly because fetal and child outcomes are affected by both fetal environment and postnatal environment. The severity of FASD effects is modulated by the stability and nurturing of the postnatal environment, which is associated with socioeconomic status and maternal education, as well as marital and employment status.

The contribution of genetic susceptibility to FASD is not fully understood, but may be substantial. Monozygotic (identical) twins are more often similarly affected by PAE than dizygotic (fraternal) twins,51,52 and children with an affected sibling are at higher risk themselves.39 Genetic differences in how alcohol is metabolized may influence outcome, as may genetic variations leading to increased risk of addiction.53,54 Complexity increases when considering the interaction of maternal, fetal, and paternal genetics and epigenetics.5558 The ability to identify epigenetic (including intergenerational) changes may in the future assist in identifying women at risk of having a child with FASD. At present, potential markers of epigenetic modulation by alcohol are being explored.

Having a plan to become pregnant is generally viewed as a protective factor, since most women will reduce risky behaviors when preparing for a pregnancy. However, if contraception is discontinued and alcohol consumption is not, risk is increased. With or without the intention to become pregnant, there are groups of women who are vulnerable as a result of ineffective contraception. They may have limited access to contraception, lack partner support for use of contraception,59 or be unable to control their own fertility due to FASD effects of their own.

Mental health disorders co-occur with alcohol problems.59,60 Depression in particular is associated with harmful alcohol consumption (including binge drinking) in women.6163 Depression and alcohol consumption also appear to be associated in pregnancy.6467 Depressed pregnant women are more likely to drink alcohol, binge-drink, and smoke than nondepressed pregnant women, and less likely to receive prenatal care.64,66,6870 Additionally, prenatal depression is associated with poor obstetric and fetal outcomes.71,72 It is perhaps not surprising that mental health problems, including depression, are more prevalent among women who have given birth to a child with FASD than women who have not.37,50,59,73 Screening for depression may be a way to identify women at risk of having a child with FASD. Importantly, as depressed women may respond differently to interventions, screening may aid in allocation to specific types of interventions.74,75

The role of paternal factors in FASD, including genetic/epigenetic and environmental factors, is emerging, but mechanisms responsible are not yet understood.7678 Paternal alcohol consumption has been negatively linked to child cognitive ability, birth weight, and likelihood of live birth.7981 Prenatal alcohol consumption is associated with the woman’s partner’s drinking.8284 In one Australian study, 75% of women who drank in pregnancy usually drank with their partner, and that drinking was often partner-initiated. Social and cultural determinants of why women drink in pregnancy include factors that are influenced by partners, such as exposure to intimate partner violence, high life stress, and drug use in the home.85,86 In one study of 80 birth mothers, 95% had been sexually and/or physically abused at some time in their lives and more than half suffered from posttraumatic stress and major depressive episode.59 Interestingly, the benefit of brief intervention increased when a partner participated.87 Women may be more likely to reduce drinking when their partner does the same.88 Paternal factors may be of greater interest in prevention of FASD and in elucidating the mechanisms of developmental disruption than in identifying women at risk.

The maternal and environmental factors mentioned may not be as predictive as we would like in identifying women at risk of having a child with FASD. This may be because of differing social norms and differing interactions of modifying effects among populations, and issues associated with diagnosis. Many reflect the benefits to child development provided by a stable, stimulating, and nurturing environment. The one factor that is truly predictive is alcohol consumption during pregnancy. Modifying factors are useful in identifying risk and protective factors for interventions. When used in conjunction with other methods, such as biomarkers, the efficacy of these factors in identifying women at risk will increase.

Biomarkers

Biomarkers may currently be used to identify alcohol-exposed pregnancies, but not FASD. This does not mean that they are without benefit in identifying women at risk. Women can be identified at various time points, including prior to pregnancy, early in pregnancy, throughout the pregnancy, and at the birth of the child. At each of these stages, opportunities exist to intervene on behalf of the mother, the index child, and future children to prevent or ameliorate negative effects. Considerations in choosing a marker include whether one wants to identify short-term vs long-term alcohol use, the magnitude and timing of use to be identified, and the desired sensitivity and specificity of the marker. A further consideration is the availability and acceptability of the marker. For example, urine samples are noninvasively and routinely collected at prenatal care visits, whereas neonatal hair samples may not be available.

Clinically used indirect markers of chronic alcohol use, such as mean corpuscular volume, γ-glutamyltransferase, and carbohydrate-deficient transferrin (CDT) are particularly useful when part of a panel of biomarkers.8991 These markers identify chronic alcohol abuse, but lack the sensitivity and specificity to estimate accurately moderate-to-low levels of alcohol consumption and intermittent or recent exposure. Comorbidities and exposures other than alcohol will affect levels of these markers. Some are also less valid in pregnancy as a result of normal physiological changes in pregnancy (eg, mean corpuscular volume and CDT increase in later pregnancy).92

Direct markers, including alcohol and metabolites of alcohol, are more sensitive and specific, and are able to detect recent alcohol exposure.93 Timing and magnitude of exposure detected depend upon the maternal and neonatal matrices sampled: biological fluids, nails, or hair. Alcohol, including low levels of exposure, may be detected in breath, blood, and urine. The time after exposure that alcohol may be determined varies by amount consumed, body size, and genetics, but is limited to hours. Alcohol metabolites, including ethyl glucuronide (EtG), ethyl sulfate (EtS), fatty acid ethyl esters (FAEEs), and phosphatidylethanol (PEth) are highly specific and have a wider time window of detection than alcohol itself (see Table 2).

FAEEs can be determined from blood/plasma/serum, hair, or meconium. In blood, FAEEs show alcohol exposure within 1 or 2 days, depending upon magnitude of exposure. Hair and nail samples are used to measure cumulative exposures over time. While low baseline levels are detected in nondrinkers, accepted cutoff values distinguish between light-to-moderate (0.2–0.5 ng/mg of hair) and heavy (≥1 ng/mg) use. FAEEs in meconium are of particular interest, because they are specific to the newborn. More than 20 different compounds are formed in the fetus by esterification of alcohol that has crossed the placenta. PAE from approximately the 20th week of gestation to birth is reflected in meconium levels, with an emphasis on the last 2 months of pregnancy. This has become a well-established method, with one FAEE, ethyl linoleate, identifying alcohol exposure with sensitivity of ≥88% and specificity of 64%.94 Sensitivity decreases at moderate-to-low levels of exposure.95 FAEEs have been detected in meconium from infants of women who did not consume alcohol in pregnancy, but at much lower levels than among women who did.96,97 FAEEs in placental tissue, particularly ethyl stearate with a positive predictive value of 50% and a negative predictive value of 97%, may also be used to identify alcohol-exposed newborns.98 Placenta and meconium values may differ, due to potential metabolism of FAEEs in placenta and additional synthesis in meconium.96,99

EtG and EtS are direct, nonoxidative products of alcohol metabolism that can be measured in blood/plasma/serum, urine, hair, and meconium, and have the considerable advantage of being detectable only if alcohol has been consumed. As opposed to FAEEs, they are water-soluble and stable when stored. EtG is the more reliable of the two in serum, has a longer detection period in urine, is more sensitive in meconium, and is more commonly used.100 EtG in maternal hair and nails is a far less sensitive marker of PAE than EtG in meconium.101,102 However, a combination of EtG in maternal hair and meconium was predictive of PAE in a sample of 80 mother–child dyads, with sensitivity of 86% and specificity of 74%.103 It is possible that EtG crosses the placenta and that EtG in meconium may reflect both fetal and maternal metabolism.104,105 EtG is detectable for 75–80 hours in urine and 8–18 hours in blood (the shorter estimates if in plasma). It measures recent alcohol exposure after alcohol has been eliminated from the body. Neither EtG nor EtS measurements are affected by alcohol in hand sanitizers, mouthwash, etc.106 There may be interference from concurrent cannabis use.107 To control for urine dilution, EtG levels should be reported relative to creatinine values.

PEth is a unique phospholipid that is only formed by the interaction of alcohol with phosphatidylcholine catalyzed by phospholipase D in red blood-cell membranes.108 It is detectable for 4–6 weeks in blood following low-to-moderate prenatal alcohol consumption.109 Kinetics, including half-life and peak concentrations, of PEth vary among alcoholics and social drinkers.110112 Sensitivity is close to 100% at levels of consumption from <40 g/day to >200 g/day, and PEth concentrations correlate with reported consumption.113 However, there are interindividual differences.113,114 Blood samples should be frozen at −80°C to avoid additional PEth formation.114,115 PAE screening using PEth analysis in dried blood spots (DBSs) from neonatal heel sticks was explored by Bakhireva et al. DBSs are convenient for collection, shipping, and storage, and are routinely obtained from most newborns throughout the world. They are minimally invasive and require small amounts of blood. This screening was found to be feasible and cost-effective.116,117 In a study of 60 infants, 28 of whom experienced PAE, PEth from DBSs achieved 100% specificity and 32.1% sensitivity, which was higher than the comparison markers (γ-glutamyltransferase, CDT, EtG, and EtS). When PEth, EtG, and EtS were considered in combination, sensitivity increased to 50%.118

A battery of biomarkers for each specific purpose may provide the greatest clinical utility. A combination of markers might increase accuracy, such as the combination of FAEE and EtG.119 To detect both short-term and long-term alcohol consumption, a combination of CDT and PEth may prove valuable.120 The cost of some analyses, such as meconium markers, may be perceived as high for routine testing, but are cost-effective when compared to the cost of not identifying a newborn with FASD.121 Identifying a mother at risk of having a child with FASD provides the greatest benefit to a particular pregnancy if accomplished early in pregnancy or prepregnancy but, as documentation of PAE is required for diagnosis, a biomarker establishing PAE is beneficial at any time point, even postnatally.

Technological advances continue to create and refine laboratory markers to more precisely assess exposure and the relationship of exposure to outcomes. They provide insights into mechanisms of harm and may lead to intervention strategies. There is a need for more sensitive biomarkers to identify low-to-moderate and intermittent drinking, as even low exposure levels may be deleterious.122125 Ideally, we would like to have markers of fetal effects, not exposure. To accomplish this, we would need not only insight into teratological mechanisms but also a well-characterized study population and the ability to recognize both the physical and the far more common neurobehavioral effects of alcohol exposure. Future directions may include novel markers, such as circulating microRNAs,126 epigenetic changes,57 placental human chorionic gonadotropin and insulin-like growth factor 2 expression,127 or second-trimester ultrasound.128 Newer sampling matrices, such as placental tissue and breast milk, may prove useful.

In a clinical setting, biomarkers should always be accompanied by a self-report assessment. While current biomarkers are attractive because they do not rely on maternal report, specificity levels of some tests raise the possibility of undermining the patient–provider relationship with potentially negative consequences if a mother is inappropriately approached about alcohol use. Lack of sufficient sensitivity to determine low alcohol exposure may exclude some women at risk.

Self-report assessment

The simplest approach to identifying women at risk should be asking them about alcohol consumption if they are pregnant and alcohol consumption and contraceptive use if they are not pregnant but have the potential to become pregnant. Among the approaches to asking women about alcohol consumption is the time-line follow-back method.129,130 Time-line follow-back has been extensively used by May et al in FASD-related studies.73,131 It provides “memory anchors” by asking about drinking at specific events, such as birthdays and holidays, to aid recall. Self-report in this context may be more accurate than without “memory anchors” but is still vulnerable to bias, due to memory and cognition issues and social desirability. Efforts to reduce the stigma associated with prenatal alcohol consumption may improve the accuracy of self-reported drinking. In some circumstances, asking about prepregnancy drinking may be more predictive of exposure than asking about pregnancy drinking.132,133

Risky drinking may be identified in pregnant women using validated instruments that have varying sensitivity and specificity depending upon the population screened. Examples of such instruments are the T-ACE (tolerance, annoy, cut down, eye-opener) measure,134,135 the TWEAK (tolerance, worry, eye-opener, amnesia, “kut” down) measure,136,137 the CAGE (cut down, annoy, guilt, eye-opener) measure,138 and more recently the T-ACER3135,139 version of the T-ACE, which increases the score or cut point at which the person is identified as a “risky drinker” to 3 (Table 3). The instruments are easy and quick to use; most are four or five questions long. They may be delivered by in-person interview, paper-based questionnaire, or computer. Additional refinement is necessary to improve sensitivity for any alcohol exposure; a pervasive issue is the inability to detect low levels of alcohol exposure.

Table 3 Brief alcohol-screening tools for use with women of childbearing age and in pregnancy
Notes: *These values indicate the score at which someone is identified as a risky drinker. #Data presented as sensitivity (probability that a risky drinker is identified as a risky drinker by the screen – ie, screens positive) and specificity (probability that a nonrisky drinker is negative on the screen).
Abbreviations: T-ACE, tolerance, annoyed, cut down, eye-opener; T-ACER3, T-ACE with cut point increased to 3 points; TWEAK, tolerance, worry, eye-opener, amnesia, “kut” down; AUDIT-C, alcohol use disorders identification test – consumption; CAGE, cut down, annoy, guilty, eye-opener; PPV, positive predictive value.

SBIRT (screening, brief intervention, and referral to treatment) is a prevention and early intervention approach that uses universal screening, education, feedback specifically tailored to the participant, and referral for professional treatment for those screening positive for alcohol-abuse problems.140,141 Screening may be accomplished with one of the validated instruments described earlier, and requires minimal time investment. While it is recommended that medical care personnel screen all women of childbearing age for risky drinking,142,143 many feel uncomfortable discussing alcohol with patients, inadequately trained to do so, or feel that not all patients need to be screened.144147 In our experience and others’, just asking women about their drinking habits has a beneficial effect in reducing risky alcohol consumption.74 The brief-intervention component provides personalized feedback and education, which may be delivered by health care personnel using an empathetic, nonjudgmental approach, possibly incorporating motivational interviewing, or by computer. While the framework of SBIRT may be universally applied, the brief-intervention and treatment portions must be tailored to make them relevant and understandable where they are used. Motivational interviewing is an adaptable technique that has been incorporated into a variety of effective programs to reduce risky drinking.148150 Timely treatment or counseling supportive of the woman’s unique circumstances should be available upon referral. A combination of SBIRT with feedback regarding biomarker results decreased alcohol consumption in pregnant women.151

Conclusion

To best identify women at risk of having a child with an FASD, both screening and use of effective biomarkers should be incorporated into routine obstetric and gynecologic care. While self-report is a practical method for ascertaining risk, used alone it is likely to miss identifying some women at risk.29,152156 The trust between a woman and her health care providers is crucial. For screening to be effective, women must feel confident that they will not be stigmatized or lose custody of their children, and that treatment will be available should they need it. Referral to treatment is necessary to maintain trust and because brief interventions alone may not be sufficiently effective.157 At present, there are no diagnostic biomarkers. Limitations of using biomarkers with less than 100% specificity include the potential risk to the patient–health care professional relationship when there are false positives, particularly when combined with self-report. Providers need to be supported with appropriate training and tools to know how to speak to patients about screening results, how to conduct brief interventions, and how to refer to the next level of resources. One beneficial outcome of adopting this screening will be that providers will be encouraged to discuss alcohol use with their pregnant patients.

Universal screening is not only prudent but more in line with bioethical principles, as there are ethical implications to limiting testing to subsets of women. Screening may be done in a manner similar to either HIV or α-fetoprotein testing. A sound approach would include routine self-report screening of all women of childbearing age, brief interventions for all who consume alcohol and have the potential to become pregnant, and referral to treatment as necessary. Starting at the first prenatal health care appointment and continuing throughout pregnancy, self-report screening should optimally be supplemented with effective biomarker assessment of alcohol consumption. Choice of specific biomarkers will be better informed as technological advances increase sensitivity and specificity of biomarkers or combinations of biomarkers. At birth, meconium, placental, or DBS analyses should ideally be used to determine fetal alcohol exposure, facilitate early diagnosis and treatment, and identify women at risk for future alcohol-exposed pregnancies.

While the resources are not yet in place to support this approach of comprehensive screening of women and infants, the potential for prevention of this common disorder warrants action. The cost of routine screening with SBIRT interventions and biomarkers is justified by avoidance of the substantial cost of a child with FASD.

Disclosure

The author reports no conflicts of interest in this work.


References

1.

Abel E, Sokol R. Fetal alcohol syndrome is now leading cause of mental retardation. Lancet. 1986;328(8517):1222.

2.

Jones K, Smith D. Recognition of the fetal alcohol syndrome in early infancy. Lancet. 1973;302(7836):999–1001.

3.

US National Institute on Alcohol Abuse and Alcoholism. 10th Special Report to the U.S. Congress on Alcohol and Health: Highlights from Current Research. Rockville (MD): NIAAA; 2001.

4.

Riley E, Infante MA, Warren K. Fetal alcohol spectrum disorders: an overview. Neuropsychol Rev. 2011;21(2):73–80.

5.

Abel EL, Sokol RJ. Incidence of fetal alcohol syndrome and economic impact of FAS-related anomalies. Drug Alcohol Depend. 1987;19(1):51–70.

6.

Roozen S, Peters GJ, Kok G, Townend D, Nijhuis J, Curfs L. Worldwide prevalence of fetal alcohol spectrum disorders: a systematic literature review including meta-analysis. Alcohol Clin Exp Res. 2016;40(1):18–32.

7.

May P, Gossage J, Kalberg W, et al. Prevalence and epidemiologic characteristics of FASD from various research methods with an emphasis on recent in-school studies. Dev Disabil Res Rev. 2009;15(3):176–192.

8.

Fitzpatrick JP, Latimer J, Carter M, et al. Prevalence of fetal alcohol syndrome in a population-based sample of children living in remote Australia: the Lililwan Project. J Paediatr Child Health. 2015;51(4):450–457.

9.

May PA, Blankenship J, Marais AS, et al. Approaching the prevalence of the full spectrum of fetal alcohol spectrum disorders in a South African population-based study. Alcohol Clin Exp Res. 2013;37(5):818–830.

10.

May P, Fiorentino D, Coriale G, et al. Prevalence of children with severe fetal alcohol spectrum disorders in communities near Rome, Italy: new estimated rates are higher than previous estimates. Int J Environ Res Public Health. 2011;8(6):2331–2351.

11.

Viljoen DL, Gossage JP, Brooke L, et al. Fetal alcohol syndrome epidemiology in a South African community: a second study of a very high prevalence area. J Stud Alcohol. 2005;66(5):593–604.

12.

Landgren M, Svensson L, Strömland K, Grönlund MA. Prenatal alcohol exposure and neurodevelopmental disorders in children adopted from Eastern Europe. Pediatrics. 2010;125(5):e1178–e1185.

13.

Popova S, Lange S, Bekmuradov D, Mihic A, Rehm J. Fetal alcohol spectrum disorder prevalence estimates in correctional systems: a systematic literature review. Can J Public Health. 2011;102(5):336–340.

14.

Lange S, Shield K, Rehm J, Popova S. Prevalence of fetal alcohol spectrum disorders in child care settings: a meta-analysis. Pediatrics. 2013;132(4):e980–e995.

15.

Green PP, McKnight-Eily LR, Tan CH, Mejia R, Denny CH. Vital signs: alcohol-exposed pregnancies – United States, 2011–2013. MMWR Morb Mortal Wkly Rep. 2016;65(65):91–97.

16.

Fitzpatrick JP, Latimer J, Ferreira ML, et al. Prevalence and patterns of alcohol use in pregnancy in remote Western Australian communities: the Lililwan Project. Drug Alcohol Rev. 2015;34(3):329–339.

17.

Namagembe I, Jackson LW, Zullo MD, Frank SH, Byamugisha JK, Sethi AK. Consumption of alcoholic beverages among pregnant urban Ugandan women. Matern Child Health J. 2010;14(4):492–500.

18.

O’Keeffe LM, Kearney PM, McCarthy FP, et al. Prevalence and predictors of alcohol use during pregnancy: findings from international multicentre cohort studies. BMJ Open. 2015;5(7):e006323.

19.

Balachova T, Bonner B, Chaffin M, et al. Women’s alcohol consumption and risk for alcohol-exposed pregnancies in Russia. Addiction. 2012;107(1):109–117.

20.

Nilsen P, Holmqvist M, Hultgren E, Bendtsen P, Cedergren M. Alcohol use before and during pregnancy and factors influencing change among Swedish women. Acta Obstet Gynecol Scand. 2008;87(7):768–774.

21.

Kesmodel U, Kesmodel PS, Larsen A, Secher NJ. Use of alcohol and illicit drugs among pregnant Danish women, 1998. Scand J Public Health. 2003;31(1):5–11.

22.

Healthy People. Maternal, infant, and child health: objectives. 2016. Available from: https://www.healthypeople.gov/2020/topics-objectives/topic/maternal-infant-and-child-health/objectives. Accessed May 10, 2016.

23.

O Connor MJ, McCracken J, Best A. Under recognition of prenatal alcohol exposure in a child inpatient psychiatric setting. Ment Health Asp Dev Disabil. 2006;9(4):105–108.

24.

Bax AC, Geurts CD, Balachova TN. Improving recognition of children affected by prenatal alcohol exposure: detection of exposure in pediatric care. Curr Dev Disord Rep. 2015;2(3):165–174.

25.

May PA, Baete A, Russo J, et al. Prevalence and characteristics of fetal alcohol spectrum disorders. Pediatrics. 2014;134(5):855–866.

26.

Chasnoff IJ, Wells AM, King L. Misdiagnosis and missed diagnoses in foster and adopted children with prenatal alcohol exposure. Pediatrics. 2015;135(2):264–270.

27.

Petrenko CL, Tahir N, Mahoney EC, Chin NP. Prevention of secondary conditions in fetal alcohol spectrum disorders: identification of systems-level barriers. Matern Child Health J. 2014;18(6):1496–1505.

28.

Gerberding JL, Cordero J, Floyd RL. Fetal Alcohol Syndrome: Guidelines for Referral and Diagnosis. Atlanta: Centers for Disease Control and Prevention; 2004.

29.

Lange S, Shield K, Koren G, Rehm J, Popova S. A comparison of the prevalence of prenatal alcohol exposure obtained via maternal self-reports versus meconium testing: a systematic literature review and meta-analysis. BMC Pregnancy Childbirth. 2014;14:127.

30.

O’Connor MJ, Paley B. Psychiatric conditions associated with prenatal alcohol exposure. Dev Disabil Res Rev. 2009;15(3):225–234.

31.

Elliott EJ, Payne J, Haan E, Bower C. Diagnosis of foetal alcohol syndrome and alcohol use in pregnancy: a survey of paediatricians’ knowledge, attitudes and practice. J Paediatr Child Health. 2006;42(11):698–703.

32.

Kable JA, O’Connor MJ, Olson HC, et al. Neurobehavioral disorder associated with prenatal alcohol exposure (ND-PAE): proposed DSM-5 diagnosis. Child Psychiatry Hum Dev. 2016;47(2):335–346.

33.

Streissguth AP, Bookstein FL, Barr HM, Sampson PD, O’Malley K, Young JK. Risk factors for adverse life outcomes in fetal alcohol syndrome and fetal alcohol effects. J Dev Behav Pediatr. 2004;25(4):228–238.

34.

Streissguth A, Barr H, Kogan J, Bookstein F. Understanding the Occurrence of Secondary Disabilities in Clients with Fetal Alcohol Syndrome (FAS) and Fetal Alcohol Effects (FAE): Final Report to the Centers for Disease Control and Prevention (CDC). Seattle: University of Washington; 1996.

35.

Barr HM, Bookstein FL, O’Malley KD, Connor PD, Huggins JE, Streissguth AP. Binge drinking during pregnancy as a predictor of psychiatric disorders on the Structured Clinical Interview for DSM-IV in young adult offspring. Am J Psychiatry. 2006;163(6):1061–1065.

36.

Burd L, Cotsonas-Hassler TM, Martsolf JT, Kerbeshian J. Recognition and management of fetal alcohol syndrome. Neurotoxicol Teratol. 2003;25(6):681–688.

37.

Kvigne VL, Leonardson GR, Borzelleca J, Brock E, Neff-Smith M, Welty TK. Characteristics of mothers who have children with fetal alcohol syndrome or some characteristics of fetal alcohol syndrome. J Am Board Fam Pract. 2003;16(4):296–303.

38.

Burd L, Klug MG, Bueling R, Martsolf J, Olson M, Kerbeshian J. Mortality rates in subjects with fetal alcohol spectrum disorders and their siblings. Birth Defects Res A Clin Mol Teratol. 2008;82(4):217–223.

39.

Abel EL. Fetal alcohol syndrome in families. Neurotoxicol Teratol. 1988;10(1):1–2.

40.

Paintner A, Williams AD, Burd L. Fetal alcohol spectrum disorders – implications for child neurology, part 1: prenatal exposure and dosimetry. J Child Neurol. 2012;27(2):258–263.

41.

Feldman HS, Jones KL, Lindsay S, et al. Prenatal alcohol exposure patterns and alcohol-related birth defects and growth deficiencies: a prospective study. Alcohol Clin Exp Res. 2012;36(4):670–676.

42.

Maier SE, West JR. Patterns and alcohol-related birth defects. Alcohol Res Health. 2001;25(3):168–174.

43.

Palma S, Pardo-Crespo R, Mariscal M, Perez-Iglesias R, Llorca J, Delgado-Rodríguez M. Weekday but not weekend alcohol consumption before pregnancy influences alcohol cessation during pregnancy. Eur J Public Health. 2007;17(4):394–399.

44.

Kable J, Coles C, Keen C, et al. The impact of micronutrient supplementation in alcohol-exposed pregnancies on information processing skills in Ukrainian infants. Alcohol. 2015;49(7):647–656.

45.

Keen CL, Clegg MS, Hanna LA, et al. The plausibility of micronutrient deficiencies being a significant contributing factor to the occurrence of pregnancy complications. J Nutr. 2003;133(5 Suppl 2):1597S–1605S.

46.

Keen CL, Uriu-Adams JY, Skalny A, et al. The plausibility of maternal nutritional status being a contributing factor to the risk for fetal alcohol spectrum disorders: the potential influence of zinc status as an example. Biofactors. 2010;36(2):125–135.

47.

May PA, Hamrick KJ, Corbin KD, et al. Dietary intake, nutrition, and fetal alcohol spectrum disorders in the Western Cape Province of South Africa. Reprod Toxicol. 2014;46:31–39.

48.

Keen CL, Uriu-Adams JY, Skalny A, et al. The plausibility of maternal nutritional status being a contributing factor to the risk for fetal alcohol spectrum disorders: the potential influence of zinc status as an example. Biofactors. 2010;36(2):125–135.

49.

Coles CD, Kable JA, Keen CL, et al. Dose and timing of prenatal alcohol exposure and maternal nutritional supplements: developmental effects on 6-month-old infants. Matern Child Health J. 2015;19(12):2605–2614.

50.

Cannon MJ, Dominique Y, O’Leary LA, Sniezek JE, Floyd RL. Characteristics and behaviors of mothers who have a child with fetal alcohol syndrome. Neurotoxicol Teratol. 2012;34(1):90–95.

51.

Streissguth AP, Dehaene P. Fetal alcohol syndrome in twins of alcoholic mothers: concordance of diagnosis and IQ. Am J Med Genet. 1993;47(6):857–861.

52.

Gareri J, Brien J, Reynolds J, Koren G. Potential role of the placenta in fetal alcohol spectrum disorder. Paediatr Drugs. 2009;11(1):26–29.

53.

Burd L, Blair J, Dropps K. Prenatal alcohol exposure, blood alcohol concentrations and alcohol elimination rates for the mother, fetus and newborn. J Perinatol. 2012;32(9):652–659.

54.

Gemma S, Vichi S, Testai E. Metabolic and genetic factors contributing to alcohol induced effects and fetal alcohol syndrome. Neurosci Biobehav Rev. 2007;31(2):221–229.

55.

Mead EA, Sarkar D. Fetal alcohol spectrum disorders and their transmission through genetic and epigenetic mechanisms. Front Genet. 2014;5:154.

56.

Ramsay M. Genetic and epigenetic insights into fetal alcohol spectrum disorders. Genome Med. 2010;2(4):27.

57.

Resendiz M, Chen Y, Öztürk NC, Zhou FC. Epigenetic medicine and fetal alcohol spectrum disorders. Epigenomics. 2013;5(1):73–86.

58.

Ungerer M, Knezovich J, Ramsay M. In utero alcohol exposure, epigenetic changes, and their consequences. Alcohol Res. 2013;35(1):37–46.

59.

Astley SJ, Bailey D, Talbot C, Clarren SK. Fetal alcohol syndrome (FAS) primary prevention through FAS diagnosis: II. A comprehensive profile of 80 birth mothers of children with FAS. Alcohol Alcohol. 2000;35(5):509–519.

60.

Regier DA, Farmer ME, Rae DS, et al. Comorbidity of mental disorders with alcohol and other drug abuse: results from the Epidemiologic Catchment Area (ECA) study. JAMA. 1990;264(19):2511–2518.

61.

Tsai J, Floyd RL, O’Connor MJ, Velasquez MM. Alcohol use and serious psychological distress among women of childbearing age. Addict Behav. 2009;34(2):146–153.

62.

Kessler RC, Crum RM, Warner LA, Nelson CB, Schulenberg J, Anthony JC. Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the national comorbidity survey. Arch Gen Psychiatry. 1997;54(4):313–321.

63.

Parker T, Maviglia MA, Lewis PT, Gossage JP, May PA. Psychological distress among Plains Indian mothers with children referred to screening for fetal alcohol spectrum disorders. Subst Abuse Treat Prev Policy. 2010;5:22.

64.

Zuckerman B, Amaro H, Bauchner H, Cabral H. Depressive symptoms during pregnancy: relationship to poor health behaviors. Am J Obstet Gynecol. 1989;160(5 Pt 1):1107–1111.

65.

Flynn HA, Chermack ST. Prenatal alcohol use: the role of lifetime problems with alcohol, drugs, depression, and violence. J Stud Alcohol Drugs. 2008;69(4):500–509.

66.

O’Connor MJ, Whaley SE. Health care provider advice and risk factors associated with alcohol consumption following pregnancy recognition. J Stud Alcohol Drugs. 2006;67(1):22–31.

67.

Meschke LL, Holl JA, Messelt S. Assessing the risk of fetal alcohol syndrome: understanding substance use among pregnant women. Neurotoxicol Teratol. 2003;25(6):667–674.

68.

O’Keane V, Marsh MS. Depression during pregnancy. BMJ. 2007;334(7601):1003–1005.

69.

Leis J, Heron J, Stuart E, Mendelson T. Associations between depressive and anxious symptoms and prenatal alcohol use. Matern Child Health J. 2012;16(6):1304–1311.

70.

Munafò MR, Heron J, Araya R. Smoking patterns during pregnancy and postnatal period and depressive symptoms. Nicotine Tob Res. 2008;10(11):1609–1602.

71.

Alder J, Fink N, Bitzer J, Hösli I, Holzgreve W. Depression and anxiety during pregnancy: a risk factor for obstetric, fetal and neonatal outcome? A critical review of the literature. J Matern Fetal Neonatal Med. 2007;20(3):189–209.

72.

Bansil P, Kuklina EV, Meikle SF, et al. Maternal and fetal outcomes among women with depression. J Womens Health (Larchmt). 2010;19(2):329–334.

73.

May PA, Keaster C, Bozeman R, et al. Prevalence and characteristics of fetal alcohol syndrome and partial fetal alcohol syndrome in a Rocky Mountain region city. Drug Alcohol Depend. 2015;155:118–127.

74.

Montag AC, Brodine SK, Alcaraz JE, et al. Preventing alcohol-exposed pregnancy among an American Indian/Alaska Native population: effect of a screening, brief intervention, and referral to treatment intervention. Alcohol Clin Exp Res. 2015;39(1):126–135.

75.

Montag AC, Brodine SK, Alcaraz JE, et al. Effect of depression on risky drinking and response to a screening, brief intervention, and referral to treatment intervention. Am J Public Health. 2015;105(8):1572–1576.

76.

Abel E. Paternal contribution to fetal alcohol syndrome. Addict Biol. 2004;9(2):127–133.

77.

Gearing RE, McNeill T, Lozier F. Father involvement and fetal alcohol spectrum disorder: developing best practices. J FAS Int. 2005;3:e14–e25.

78.

Finegersh A, Rompala GR, Martin DIK, Homanics GE. Drinking beyond a lifetime: new and emerging insights into paternal alcohol exposure on subsequent generations. Alcohol. 2015;49(5):461–470.

79.

Hegedus AM, Alterman AI, Tarter RE. Learning achievement in sons of alcoholics. Alcohol Clin Exp Res. 1984;8(3):330–333.

80.

Little RE, Sing CF. Father’s drinking and infant birth weight: report of an association. Teratology. 1987;36(1):59–65.

81.

Klonoff-Cohen H, Lam-Kruglick P, Gonzalez C. Effects of maternal and paternal alcohol consumption on the success rates of in vitro fertilization and gamete intrafallopian transfer. Fertil Steril. 2003;79(2):330–339.

82.

McLeod JD. Spouse concordance for alcohol dependence and heavy drinking: evidence from a community sample. Alcohol Clin Exp Res. 1993;17(6):1146–1155.

83.

McBride N, Carruthers S, Hutchinson D. Reducing alcohol use during pregnancy: listening to women who drink as an intervention starting point. Glob Health Promot. 2012;19(2):6–18.

84.

Bakhireva LN, Wilsnack SC, Kristjanson A, et al. Paternal drinking, intimate relationship quality, and alcohol consumption in pregnant Ukrainian women. J Stud Alcohol Drugs. 2011;72(4):536–544.

85.

Flynn HA, Chermack ST. Prenatal alcohol use: the role of lifetime problems with alcohol, drugs, depression, and violence. J Stud Alcohol Drugs. 2008;69(4):500–509.

86.

Denton WH, Adinoff BH, Lewis D, Walker R, Winhusen T. Family discord is associated with increased substance use for pregnant substance users. Subst Use Misuse. 2014;49(3):326–332.

87.

Chang G, McNamara TK, Orav EJ, et al. Brief intervention for prenatal alcohol use: a randomized trial. Obstet Gynecol. 2005;105(5 Pt 1):991–998.

88.

Waterson E, Evans C, Murray-Lyon IM. Is pregnancy a time of changing drinking and smoking patterns for fathers as well as mothers? An initial investigation. Br J Addict. 1990;85(3):389–396.

89.

Sarkola T, Eriksson C, Niemelä O, Sillanaukee P, Halmesmäki E. Mean cell volume and gamma-glutamyl transferase are superior to carbohydrate-deficient transferrin and hemoglobin-acetaldehyde adducts in the follow-up of pregnant women with alcohol abuse. Acta Obstet Gynecol Scand. 2000;79(5):359–366.

90.

Halmesmäki E, Roine R, Salaspuro M. Gammaglutamyltransferase, aspartate and alanine aminotransferases and their ratio, mean cell volume and urinary dolichol in pregnant alcohol abusers. Br J Obstet Gynaecol. 1992;99(4):287–291.

91.

Bianchi V, Ivaldi A, Raspagni A, Arfini C, Vidali M. Pregnancy and variations of carbohydrate-deficient transferrin levels measured by the candidate reference HPLC method. Alcohol Alcohol. 2011;46(2):123–127.

92.

Kenan N, Larsson A, Axelsson O, Helander A. Changes in transferrin glycosylation during pregnancy may lead to false-positive carbohydrate-deficient transferrin (CDT) results in testing for riskful alcohol consumption. Clin Chim Acta. 2011;412(1):129–133.

93.

Cabarcos P, Álvarez I, Tabernero MJ, Bermejo AM. Determination of direct alcohol markers: a review. Anal Bioanal Chem. 2015;407(17):4907–4925.

94.

Bearer CF, Santiago LM, O’Riordan MA, Buck K, Lee SC, Singer LT. Fatty acid ethyl esters: quantitative biomarkers for maternal alcohol consumption. J Pediatr. 2005;146(6):824–830.

95.

Kwak HS, Han JY, Choi JS, et al. Dose-response and time-response analysis of total fatty acid ethyl esters in meconium as a biomarker of prenatal alcohol exposure. Prenat Diagn. 2014;34(9):831–838.

96.

Chan D, Caprara D, Blanchette P, Klein J, Koren G. Recent developments in meconium and hair testing methods for the confirmation of gestational exposures to alcohol and tobacco smoke. Clin Biochem. 2004;37(6):429–438.

97.

Chan D, Bar-Oz B, Pellerin B, et al. Population baseline of meconium fatty acid ethyl esters among infants of nondrinking women in Jerusalem and Toronto. Ther Drug Monit. 2003;25(3):271–278.

98.

Gauthier TW, Mohan SS, Gross TS, Harris FL, Guidot DM, Brown LA. Placental fatty acid ethyl esters are elevated with maternal alcohol use in pregnancies complicated by prematurity. PloS One. 2015;10(5):e0126552.

99.

Zelner I, Hutson JR, Kapur BM, Feig DS, Koren G. False-positive meconium test results for fatty acid ethyl esters secondary to delayed sample collection. Alcohol Clin Exp Res. 2012;36(9):1497–1506.

100.

Pichini S, Morini L, Marchei E, et al. Ethylglucuronide and ethylsulfate in meconium to assess gestational ethanol exposure: preliminary results in two Mediterranean cohorts. Can J Clin Pharmacol. 2009;16(2):e370–e375.

101.

Morini L, Marchei E, Tarani L, et al. Testing ethylglucuronide in maternal hair and nails for the assessment of fetal exposure to alcohol: comparison with meconium testing. Ther Drug Monit. 2013;35(3):402–407.

102.

Morini L, Marchei E, Vagnarelli F, et al. Ethyl glucuronide and ethyl sulfate in meconium and hair: potential biomarkers of intrauterine exposure to ethanol. Forensic Sci Int. 2010;196(1):74–77.

103.

Joya X, Marchei E, Salat-Batlle J, et al. Fetal exposure to ethanol: relationship between ethyl glucuronide in maternal hair during pregnancy and ethyl glucuronide in neonatal meconium. Clin Chem Lab Med. 2016;54(3):427–435.

104.

Morini L, Falcón M, Pichini S, et al. Ethyl-glucuronide and ethyl-sulfate in placental and fetal tissues by liquid chromatography coupled with tandem mass spectrometry. Anal Biochem. 2011;418(1):30–36.

105.

Matlow JN, Lubetsky A, Aleksa K, Berger H, Koren G. The transfer of ethyl glucuronide across the dually perfused human placenta. Placenta. 2013;34(4):369–373.

106.

Ondersma SJ, Beatty JR, Rosano TG, Strickler RC, Graham AE, Sokol RJ. Commercial ethyl glucuronide (EtG) and ethyl sulfate (EtS) testing is not vulnerable to incidental alcohol exposure in pregnant women. Subst Use Misuse. 2016;51(1):126–130.

107.

Wurst FM, Wiesbeck GA, Metzger JW, Weinmann W, Graf M. On sensitivity, specificity, and the influence of various parameters on ethyl glucuronide levels in urine: results from the WHO/ISBRA study. Alcohol Clin Exp Res. 2004;28(8):1220–1228.

108.

Viel G, Boscolo-Berto R, Cecchetto G, Fais P, Nalesso A, Ferrara SD. Phosphatidylethanol in blood as a marker of chronic alcohol use: a systematic review and meta-analysis. Int J Mol Sci. 2012;13(11):14788–14812.

109.

Kwak HS, Han JY, Ahn HK, et al. Blood levels of phosphatidylethanol in pregnant women reporting positive alcohol ingestion, measured by an improved LC-MS/MS analytical method. Clin Toxicol. 2012;50(10):886–891.

110.

Varga A, Hansson P, Johnson G, Alling C. Normalization rate and cellular localization of phosphatidylethanol in whole blood from chronic alcoholics. Clin Chim Acta. 2000;299(1–2):141–150.

111.

Varga A, Alling C. Formation of phosphatidylethanol in vitro in red blood cells from healthy volunteers and chronic alcoholics. J Lab Clin Med. 2002;140(2):79–83.

112.

Gnann H, Weinmann W, Thierauf A. Formation of phosphatidylethanol and its subsequent elimination during an extensive drinking experiment over 5 days. Alcohol Clin Exp Res. 2012;36(9):1507–1511.

113.

Aradottir S, Asanovska G, Gjerss S, Hansson P, Alling C. Phosphatidylethanol (PEth) concentrations in blood are correlated to reported alcohol intake in alcohol-dependent patients. Alcohol Alcohol. 2006;41(4):431–437.

114.

Aradóttir S, Moller K, Alling C. Phosphatidylethanol formation and degradation in human and rat blood. Alcohol Alcohol. 2004;39(1):8–13.

115.

Isaksson A, Walther L, Hansson T, Andersson A, Alling C. Phosphatidylethanol in blood (B-PEth): a marker for alcohol use and abuse. Drug Test Anal. 2011;3(4):195–200.

116.

Bakhireva LN, Savich RD, Raisch DW, et al. The feasibility and cost of neonatal screening for prenatal alcohol exposure by measuring phosphatidylethanol in dried blood spots. Alcohol Clin Exp Res. 2013;37(6):1008–1015.

117.

Baldwin AE, Jones J, Jones M, Plate C, Lewis D. Retrospective assessment of prenatal alcohol exposure by detection of phosphatidylethanol in stored dried blood spot cards: an objective method for determining prevalence rates of alcohol consumption during pregnancy. Int J Alcohol Drug Res. 2015;4(2):131–137.

118.

Bakhireva LN, Leeman L, Savich RD, et al. The validity of phosphatidylethanol in dried blood spots of newborns for the identification of prenatal alcohol exposure. Alcohol Clin Exp Res. 2014;38(4):1078–1085.

119.

Bakdash A, Burger P, Goecke TW, et al. Quantification of fatty acid ethyl esters (FAEE) and ethyl glucuronide (EtG) in meconium from newborns for detection of alcohol abuse in a maternal health evaluation study. Anal Bioanal Chem. 2010;396(7):2469–2477.

120.

Helander A, Péter O, Zheng Y. Monitoring of the alcohol biomarkers PEth, CDT and EtG/EtS in an outpatient treatment setting. Alcohol Alcohol. 2012;47(5):552–557.

121.

Gifford AE, Farkas KJ, Jackson LW, et al. Assessment of benefits of a universal screen for maternal alcohol use during pregnancy. Birth Defects Res A Clin Mol Teratol. 2010;88(10):838–846.

122.

Lewis SJ, Zuccolo L, Smith GD, et al. Fetal alcohol exposure and IQ at age 8: evidence from a population-based birth-cohort study. PloS One. 2012;7(11):e49407.

123.

Flak AL, Su S, Bertrand J, Denny CH, Kesmodel US, Cogswell ME. The association of mild, moderate, and binge prenatal alcohol exposure and child neuropsychological outcomes: a meta-analysis. Alcohol Clin Exp Res. 2014;38(1):214–226.

124.

D’Onofrio BM, Van Hulle CA, Waldman ID, Rodgers JL, Rathouz PJ, Lahey BB. Causal inferences regarding prenatal alcohol exposure and childhood externalizing problems. Arch Gen Psychiatry. 2007;64(11):1296–1304.

125.

Sood B, Delaney-Black V, Covington C, et al. Prenatal alcohol exposure and childhood behavior at age 6 to 7 years: I. Dose-response effect. Pediatrics. 2001;108(2):E34.

126.

Miranda RC. MicroRNAs and fetal brain development: implications for ethanol teratology during the second trimester period of neurogenesis. Front Genet. 2012;3:77.

127.

Joya X, Salat-Batlle J, Velezmoro-Jáuregui G, Clavé S, Garcia-Algar O, Vall O. Prenatal ethanol exposure and placental hCG and IGF2 expression. Placenta. 2015;36(8):854–862.

128.

Kfir M, Yevtushok L, Onishchenko S, et al. Can prenatal ultrasound detect the effects of in-utero alcohol exposure? A pilot study. Ultrasound Obstet Gynecol. 2009;33(6):683–689.

129.

Sobell LC, Sobell MB. Timeline follow-back. In: Litten RZ, Allen JP, editors. Measuring Alcohol Consumption: Psychosocial and Biochemical Methods. New York: Springer; 1992:41–72.

130.

Sobell LC, Agrawal S, Annis H, et al. Cross-cultural evaluation of two drinking assessment instruments: alcohol timeline followback and inventory of drinking situations. Subst Use Misuse. 2001;36(3):313–331.

131.

May PA, Hamrick KJ, Corbin KD, et al. Maternal nutritional status as a contributing factor for the risk of fetal alcohol spectrum disorders. Reprod Toxicol. 2016;59:101–108.

132.

Chambers CD, Hughes S, Meltzer SB, et al. Alcohol consumption among low-income pregnant Latinas. Alcohol Clin Exp Res. 2005;29(11):2022–2028.

133.

Bakhireva LN, Gutierrez H, Stephens E, et al. Methods to assess alcohol use during pregnancy: self-report and biomarkers. Reprod Toxicol. 2013;37:81.

134.

Chang G, Wilkins-Haug L, Berman S, Goetz MA, Behr H, Hiley A. Alcohol use and pregnancy: improving identification. Obstet Gynecol. 1998;91(6):892–898.

135.

Chiodo LM, Sokol RJ, Delaney-Black V, Janisse J, Hannigan JH. Validity of the T-ACE in pregnancy in predicting child outcome and risk drinking. Alcohol. 2010;44(7–8):595–603.

136.

Russell M, Martier SS, Sokol RJ, Mudar P, Jacobson S, Jacobson J. Detecting risk drinking during pregnancy: a comparison of four screening questionnaires. Am J Public Health. 1996;86(10):1435–1439.

137.

Russell M, Martier SS, Sokol RJ, et al. Screening for pregnancy risk-drinking. Alcohol Clin Exp Res. 1994;18(5):1156–1161.

138.

Sokol RJ, Martier SS, Ager JW. The T-ACE questions: practical prenatal detection of risk-drinking. Am J Obstet Gynecol. 1989;160(4):863–870.

139.

Chiodo LM, Delaney-Black V, Sokol RJ, Janisse J, Pardo Y, Hannigan JH. Increased cut-point of the TACER-3 screen reduces false positives without losing sensitivity in predicting risk alcohol drinking in pregnancy. Alcohol Clin Exp Res. 2014;38(5):1401–1408.

140.

Babor TF, McRee BG, Kassebaum PA, Grimaldi PL, Ahmed K, Bray J. Screening, brief intervention, and referral to treatment (SBIRT): toward a public health approach to the management of substance abuse. Substance Abuse. 2007;28(3):7–30.

141.

Keough V, Jennrich J. Including a screening and brief alcohol intervention program in the care of the obstetric patient. J Obstet Gynecol Neonatal Nurs. 2009;38(6):715–722.

142.

US Department of Health & Human Services. US surgeon general releases advisory on alcohol use in pregnancy [press release]. Washington: HHS; 2005 [February 21]. Available from: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5409a6.htm. Accessed June 18, 2016.

143.

American College of Obstetricians and Gynecologists. Committee on Health Care for Underserved Women. At-risk drinking and alcohol dependence: obstetric and gynecologic implications. Obstet Gynecol. 2011;118(2 Pt 1):383–388.

144.

McKnight-Eily LR, Liu Y, Brewer RD, et al. Vital signs: communication between health professionals and their patients about alcohol use – 44 states and the District of Columbia, 2011. MMWR Morb Mortal Wkly Rep. 2014;63(1):16–22.

145.

Sharpe TT, Alexander M, Hutcherson J, et al. Physician and allied health professionals’ training and fetal alcohol syndrome. J Womens Health (Larchmt). 2004;13(2):133–139.

146.

Nevin AC, Parshuram C, Nulman I, Koren G, Einarson A. A survey of physicians [sic] knowledge regarding awareness of maternal alcohol use and the diagnosis of FAS. BMC Fam Pract. 2002;3:2.

147.

Donovan CL. Factors predisposing, enabling and reinforcing routine screening of patients for preventing fetal alcohol syndrome: a survey of New Jersey physicians. J Drug Educ. 1991;21(1):35–42.

148.

Floyd RL, Sobell M, Velasquez MM, et al. Preventing alcohol-exposed pregnancies: a randomized controlled trial. Am J Prev Med. 2007;32(1):1–10.

149.

Ingersoll K, Floyd L, Sobell M, Velasquez MM. Reducing the risk of alcohol-exposed pregnancies: a study of a motivational intervention in community settings. Pediatrics. 2003;111(5 Pt 2):1131–1135.

150.

Rendall-Mkosi K, Morojele N, London L, Moodley S, Singh C, Girdler-Brown B. A randomized controlled trial of motivational interviewing to prevent risk for an alcohol-exposed pregnancy in the Western Cape, South Africa. Addiction. 2013;108(4):725–732.

151.

Stoler J, Forbes P, Burton M, Rubin A, Heffernan E. A pilot study of the use of blood markers of alcohol use and brief intervention during pregnancy. J Pregnancy Child Health. 2015;2(6):1000199.

152.

Midanik LT. Validity of self-reported alcohol use: a literature review and assessment. Br J Addict. 1988;83(9):1019–1030.

153.

Gareri J, Lynn H, Handley M, Rao C, Koren G. Prevalence of fetal ethanol exposure in a regional population-based sample by meconium analysis of fatty acid ethyl esters. Ther Drug Monit. 2008;30(2):239–245.

154.

Stoler JM, Huntington KS, Peterson CM, et al. The prenatal detection of significant alcohol exposure with maternal blood markers. J Pediatr. 1998;133(3):346–352.

155.

Garcia-Algar O, Kulaga V, Gareri J, et al. Alarming prevalence of fetal alcohol exposure in a Mediterranean city. Ther Drug Monit. 2008;30(2):249–254.

156.

Wurst FM, Kelso E, Weinmann W, Pragst F, Yegles M, Poromaa IS. Measurement of direct ethanol metabolites suggests higher rate of alcohol use among pregnant women than found with the AUDIT: a pilot study in a population-based sample of Swedish women. Am J Obstet Gynecol. 2008;198(4):407.e1–e5.

157.

Nilsen P. Brief alcohol intervention to prevent drinking during pregnancy: an overview of research findings. Curr Opin Obstet Gynecol. 2009;21(6):496–500.

158.

May PA, Gossage JP, White-Country M, et al. Alcohol consumption and other maternal risk factors for fetal alcohol syndrome among three distinct samples of women before, during, and after pregnancy: the risk is relative. Am J Med Genet C Semin Med Genet. 2004;127C(1):10–20.

159.

May PA, de Vries MM, Marais AS, et al. The continuum of fetal alcohol spectrum disorders in four rural communities in South Africa: prevalence and characteristics. Drug Alcohol Depend. 2016;159:207–218.

160.

Coyne KL, De Costa CM, Heazlewood RJ, Newman HC. Pregnancy characteristics of women giving birth to children with fetal alcohol syndrome in far north Queensland. Aust N Z J Obstet Gynaecol. 2008;48(3):240–247.

161.

Bagheri MM, Burd L, Martsolf JT, Klug MG. Fetal alcohol syndrome: maternal and neonatal characteristics. J Perinat Med. 1998;26(4):263–269.

162.

May PA, Gossage JP, Marais AS, et al. Maternal risk factors for fetal alcohol syndrome and partial fetal alcohol syndrome in South Africa: a third study. Alcohol Clin Exp Res. 2008;32(5):738–753.

163.

Viljoen D, Croxford J, Gossage JP, Kodituwakku PW, May PA. Characteristics of mothers of children with fetal alcohol syndrome in the Western Cape Province of South Africa: a case control study. J Stud Alcohol. 2002;63(1):6–17.

164.

Urban M, Chersich MF, Fourie LA, Chetty C, Olivier L, Viljoen D. Fetal alcohol syndrome among grade 1 schoolchildren in Northern Cape Province: prevalence and risk factors. S Afr Med J. 2008;98(11):877–882.

165.

May PA, Gossage JP, Brooke LE, et al. Maternal risk factors for fetal alcohol syndrome in the Western Cape Province of South Africa: a population-based study. Am J Public Health. 2005;95(7):1190–1199.

166.

Miller LA, Shaikh T, Stanton C, et al. Surveillance for fetal alcohol syndrome in Colorado. Public Health Rep. 1995;110(6):690–697.

167.

Petkovic G, Barisic I. Prevalence of fetal alcohol syndrome and maternal characteristics in a sample of schoolchildren from a rural province of Croatia. Int J Environ Res Public Health. 2013;10(4):1547–1561.

168.

Pierog S, Chandavasu O, Wexler I. The fetal alcohol syndrome: some maternal characteristics. Int J Gynaecol Obstet. 1979;16(5):412–415.

169.

May PA, Brooke L, Gossage JP, et al. Epidemiology of fetal alcohol syndrome in a South African community in the Western Cape Province. Am J Public Health. 2000;90(12):1905–1912.

170.

Kvigne VL, Leondardson GR, Welty TK. Characteristics of fathers who have children with fetal alcohol syndrome or incomplete fetal alcohol syndrome. SD Med. 2006;59(8):337–340.

171.

Bearer CF, Jacobson JL, Jacobson SW, et al. Validation of a new biomarker of fetal exposure to alcohol. J Pediatr. 2003;143(4):463–469.

172.

Ostrea EM, Hernandez JD, Bielawski DM, et al. Fatty acid ethyl esters in meconium: are they biomarkers of fetal alcohol exposure and effect? Alcohol Clin Exp Res. 2006;30(7):1152–1159.

173.

Kulaga V, Pragst F, Fulga N, Koren G. Hair analysis of fatty acid ethyl esters in the detection of excessive drinking in the context of fetal alcohol spectrum disorders. Ther Drug Monit. 2009;31(2):261–266.

174.

Himes SK, Dukes KA, Tripp T, et al. Clinical sensitivity and specificity of meconium fatty acid ethyl ester, ethyl glucuronide, and ethyl sulfate for detecting maternal drinking during pregnancy. Clin Chem. 2015;61(3):523–532.

175.

Pichini S, Morini L, Pacifici R, et al. Development of a new immunoassay for the detection of ethyl glucuronide (EtG) in meconium: validation with authentic specimens analyzed using LC-MS/MS – preliminary results. Clin Chem Lab Med. 2014;52(8):1179–1185.

176.

Wurst F, Thon N, Aradottir S, et al. Phosphatidylethanol: normalization during detoxification, gender aspects and correlation with other biomarkers and self-reports. Addict Biol. 2010;15(1):88–95.

177.

Gale T, White J, Welty T. Differences in detection of alcohol use in a prenatal population (on a Northern Plains Indian reservation) using various methods of ascertainment. SD J Med. 1998;51(7):235–240.

178.

Alvik A, Haldorsen T, Groholt B, Lindemann R. Alcohol consumption before and during pregnancy comparing concurrent and retrospective reports. Alcohol Clin Exp Res. 2006;30(3):510–515.

179.

McNamara TK, Orav EJ, Wilkins-Haug L, Chang G. Risk during pregnancy: self-report versus medical record. Am J Obstet Gynecol. 2005;193(6):1981–1985.

180.

Chang G. Alcohol screening instruments for pregnant women. Alcohol Res Health. 2001;25(3):204–209.

181.

Chiodo LM, da Costa DE, Hannigan JH, et al. The impact of maternal age on the effects of prenatal alcohol exposure on attention. Alcohol Clin Exp Res. 2010;34(10):1813–1821.

182.

Russell M. New assessment tools for risk drinking during pregnancy: T-ACE, TWEAK, and others. Alcohol Health Res World. 1994;18(1):55–61.

183.

Dawson DA, Grant BF, Stinson FS, Zhou Y. Effectiveness of the derived alcohol use disorders identification test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population. Alcohol Clin Exp Res. 2005;29(5):844–854.

184.

Dawson DA, Das A, Faden VB, Bhaskar B, Krulewitch CJ, Wesley B. Screening for high and moderate-risk drinking during pregnancy: a comparison of several TWEAK-based screeners. Alcohol Clin Exp Res. 2001;25(9):1342–1349.

185.

Sarkar M, Einarson T, Koren G. Comparing the effectiveness of TWEAK and T-ACE in determining problem drinkers in pregnancy. Alcohol Alcohol. 2010;45(4):356–360.

186.

Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Arch Intern Med. 1998;158(16):1789–1795.

187.

Bazzo S, Battistella G, Riscica P, et al. Reliability of a self-report Italian version of the AUDIT-C questionnaire, used to estimate alcohol consumption by pregnant women in an obstetric setting. Riv Psichiatr. 2015;50(2):89–94.

188.

Seib CA, Daglish M, Heath R, Booker C, Reid C, Fraser J. Screening for alcohol and drug use in pregnancy. Midwifery. 2012;28(6):760–764.

189.

Ewing JA. Detecting alcoholism: the CAGE questionnaire. JAMA. 1984;252(14):1905–1907.

190.

Norberg Å, Gabrielsson J, Jones AW, Hahn RG. Within- and between-subject variations in pharmacokinetic parameters of ethanol by analysis of breath, venous blood and urine. Br J Clinical Pharmacol. 2000;49(5):399–408.

191.

Helander A, Beck O, Jones AW. Laboratory testing for recent alcohol consumption: comparison of ethanol, methanol, and 5-hydroxytryptophol. Clin Chem. 1996;42(4):618–624.

Creative Commons License © 2016 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.