Appendix 3.
Predictive Characteristics* of Other Screening Tools for Fetal Alcohol Spectrum Disorders and Its Associated Symptoms
| Author | PAE/FASD Sample | Comparison Sample | Predictor | Outcome | Sensitivity | Specificity | PPV | NPV | Accuracy | AUC from ROC |
|---|---|---|---|---|---|---|---|---|---|---|
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| Aring et al., 202166 | 37 Children with FASD | 65 Healthy children, 33 ADHD, 57 Moderate to late prematurity | FASD Eye Code ≥ 10 | FASD | 43 | 94 | 0.78 | |||
| 65 Healthy children only | 43 | 100 | 0.87 | |||||||
| 16 Silver-Russell syndrome | 43 | 88 | 0.6 | |||||||
| 65 Healthy children | 0.92 | |||||||||
| All comparison groups | 0.76 | |||||||||
| 33 ADHD | 0.66 | |||||||||
| 57 Moderate to late prematurity | 0.75 | |||||||||
| 65 Healthy children only | FASD Eye Code ≥ 9 | 57 | 98 | 0.87 | ||||||
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| Astley & Clarren, 199658 | 42 FAS: 21 development sample and 21 validation sample | 84 without FAS (including 4 with other genetic conditions) placed into 2 groups; 42 per group for development and then validation | Facial features: 2D continuous measurements philtrum/lip | Gestalt FAS | 100 | 93 | ||||
| Likert scale rating philtrum & lip | 100 | 100 | ||||||||
| Likert scale philtrum/lip continuous | 100 | 100 | ||||||||
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| Astley et al., 200259 | Sampled 600 children in foster care screened | Facial analysis software | Facial features: 2D clinical FASD diagnosis | Screened + Gestalt FAS | 100 | 99.8 | 85.7 | 100 | 99.8 | |
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| Moore et al., 200160 | 41 FAS & 59 pFAS | 31 Controls | Facial features: 6 2D craniofacial measurements | Clinical FAS/pFAS | 98 | 90 | 96 | |||
| 2 Craniofacial measurements | 100 | 100 | 100 | |||||||
| 5 Craniofacial measurements | 86 | 94 | 88 | |||||||
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| Widder et al., 202161 | 22 FASD | 31 Controls; 15 ADHD; 20 AUD/OUD; 18 depression | Facial features: 2D German BSI-FASD | Clinical FASD | 77 | 70–100 | ||||
| Facial analysis software | 67 | 44–79 | ||||||||
| German BSI-FASD adapted scoring | 86 | 70–100 | ||||||||
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| Fang et al., 200862 | 50 Finnish FASD diagnosis | 32 Finnish controls | 3D facial coordinates | FASD | 88.2 | 100 | 100 | 83.3 | 92.6 | |
| 36 FAS Cape-Colored | 31 Finnish controls | 91.7 | 90 | 91.7 | 90 | 90.9 | ||||
| 86 Combined FASD | 63 Combined controls | 82.8 | 76.2 | 82.8 | 76.2 | 80 | ||||
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| Mutsvangwa et al., 201064 | 4 FAS (age 5) | 11 Controls (age 5) | 3D facial coordinates | Clinical FASD | 80 | 100 | 100 | 90.9 | 93.3 | |
| 13 FAS (age 12) | 6 Controls (age 12) | 90.9 | 62.5 | 76.9 | 83.3 | 79 | ||||
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| Suttie et al., 201763 | 22 FAS and 75 heavy AE South Africans (ages 6–18) & 35 FAS and 73 heavy AE Caucasians from CIFASD (ages 3–18) | 69 South Africans (ages 6–18) who were Cape-Colored & 141 Caucasians from CIFASD (ages 3–18) | 3D facial curvature coordinates of face | FAS or heavily AE | 0.95–0.98 | |||||
| 3D facial curvature coordinates of profile | 0.82–0.96 | |||||||||
| 3D facial curvature coordinates of eyes | 0.92–0.95 | |||||||||
| 3D facial curvature coordinates malar | 0.90–0.95 | |||||||||
| 3D facial curvature coordinates of mandible | 0.85–0.93 | |||||||||
| 3D facial curvature coordinates of nose | 0.86–0.95 | |||||||||
| 3D facial curvature coordinates of lip vermillion | 0.69–0.84 | |||||||||
| 3D facial curvature coordinates of philtrum | 0.70–0.90 | |||||||||
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| Valentine et al., 201765 | 36 FAS | 50 Controls | Facial dysmorphology novel analysis technology computer scoring | FAS | 78 | 92 | 88 | 85 | 0.95 | |
| 31 pFAS | pFAS | 79 | 78 | 67 | 87 | 0.82 | ||||
| 22 ARND | ARND | 50 | 92 | 70 | 83 | 0.84 | ||||
| 89 FASD | Any FASD | 89 | 69 | 83 | 78 | 0.86 | ||||
| 36 FAS | 50 Controls | Facial dysmorphology novel analysis technology manual scoring | FAS | 99 | 89 | 87 | 99 | 0.96 | ||
| 31 pFAS | pFAS | 76 | 89 | 81 | 86 | 0.89 | ||||
| 22 ARND | ARND | 43 | 92 | 70 | 79 | 0.74 | ||||
| 89 FASD | Any FASD | 87 | 77 | 87 | 77 | 0.88 | ||||
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| Jacobson et al., 200868 | 12 FAS, 18 pFAS, 29 heavy PAE | 20 Nonexposed controls; 4 nonexposed microcephalic | Physiological neural response: % criteria for eye-blink conditioning | FASD | 70.2 | 75 | 87 | 51.4 | 71.6 | |
| 10 FAS | 100 | 75 | 62.5 | 100 | 82.4 | |||||
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| Kable et al., 202169 | 26 PAE no diagnosis, 19 ARND, 5 FAS/pFAS | 70 No PAE/no diagnosis | Physiological neural response: cardiac orienting response auditory COR Deviation Index | FASD | 0.65 | |||||
| Visual COR Deviation Index | 0.77 | |||||||||
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| Mesa et al., 201770 | Sample of Ukrainian infants with 26 having mild developmental delay | Sample of Ukrainian infants with 98 within normal limit development | Physiological neural response: cardiac orienting response Standard COR | 12-month Bayley < 85 | 66 | 85 | 0.81 | |||
| Key features COR | 62 | 82 | 0.81 | |||||||
| Maternal drinking | 49 | 75 | 0.68 | |||||||
| Maternal drinking + standard COR | 65 | 87 | 0.84 | |||||||
| Maternal drinking + key COR | 62 | 80 | 0.8 | |||||||
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| Kaneko et al., 199671 | 14 FAS | 14 Controls | Physiological neural response: auditory event potentials | FAS | 78.6 | 42.9 | 57.9 | 66.7 | 60.7 | |
| 14 Down syndrome | Combination of P300 variables | 78.6 | 85.7 | 84.6 | 80 | 82.1 | ||||
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| Tseng et al., 201378 | 13 FASD | 21 ADHD | 19 Features of saccadic eye movements | FASD | 90.4 | |||||
| 18 Controls | 79.2 | |||||||||
| 21 ADHD and 18 controls | 73 | 91 | 77.3 | |||||||
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| Zhang et al., 201977 | 91 FASD | 116 Controls | Physiological neural response: eye tracking features of eye tracking, DTI, and neurobehavioral testing | FASD | 81.8 | 87.5 | 84.8 | |||
| Prosaccade | 69.6 | |||||||||
| Antisaccade | 76.1 | |||||||||
| Mesasaccade | 65.2 | |||||||||
| DTI (4 features) | 67.4 | |||||||||
| Neurobehavioral (3 domains) | 78.3 | |||||||||
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| Bookstein et al., 200779 | 23 PAE | 21 Unexposed or lightly exposed | Neuroimage: MRI “hook” feature of corpus callosum | AE | 52.2 | 95.2 | 92.3 | 64.5 | 72.7 | |
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| Little & Beaulieu, 202080 | 79 FASD | 81 Controls | Neuroimage: MRI 10 heavily weighted brain regions | FASD | 64 | 88 | 77 | |||
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| Burd et al., 199984 | 1,013 Screened in school system with 6 FAS | 1,007 Screened in school/no FAS diagnosis | Screening tool completed by trained staff > 20 | Screened + FASD | 100 | 94.1 | 9.2 | 100 | 94 | |
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| Burd et al., 200385 | 152 FAS | IOM FAS cohort | FAS Diagnostic Checklist-total | FAS | 84.9 | 82.4 | 75.4 | 89.5 | ||
| 157 pFAS | pFAS | 54.3 | 83.3 | 66.1 | 74.1 | |||||
| 87 PAE not FAS | PAE Not FAS | 77 | 90.8 | 70.5 | 93.2 | |||||
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| Grant et al., 201386 | 25 FASD (FAS, ARND, FAE, static encephalopathy) | 463 No PAE | Self-report interview life history screen/addiction severity index | FASD | 80.8 | 65.5 | 67.6 | |||
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| Klug et al., 202181 | 76 FASD | 76 Controls | Caregiver Questionnaire: Checklist ARND-BC Parent All Questions | FASD | 91.9 | 95.8 | 95.2 | 92.5 | ||
| ARND-BC parent questions positive from binary regression | 90.8 | 92.8 | 92.4 | 91.3 | ||||||
| ARND-BC parent questions positive from continuous regression | 89.7 | 94.5 | 94 | 90.5 | ||||||
| ARND-BC parent questions sum of positive domains | 89.7 | 94.5 | 94 | 90.5 | ||||||
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| Nash et al., 200682 | 54 FASD (ages 6–16) | 30 Controls | Caregiver Responses to CBCL (7 items) | FASD | 96.5 | |||||
| 30 Controls | Caregiver responses to CBCL (6/7 items) | 86 | 82 | |||||||
| 30 Controls | Caregiver responses to CBCL (5/7 items) | 80 | 70 | 80 | 90.1 | |||||
| 30 ADHD | Caregiver responses to CBCL (6/7 items) | 86.3 | ||||||||
| 30 ADHD | Caregiver responses to CBCL (3 items) | 81 | 72 | |||||||
| 30 ADHD | Caregiver responses to CBCL (2 items) | 70 | 80 | 84.9 | ||||||
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| Nguyen et al., 201483 | 79 PAE + ADHD; 36 PAE – ADHD | 90 Controls + ADHD; 16 Controls – ADHD | Caregiver responses to BRIEF | AE | 71.4 | |||||
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| Bernes et al., 202190 | 177 Alcohol exposed CIFASD II | 204 Controls CIFASD II | Low cutoff > 1.5 neurobehavioral battery & dysmorphology exam | AE | 76.9 | 76.5 | 66 | 84.8 | 76.6 | |
| High cutoff > 2 neurobehavioral battery & dysmorphology exam | AE | 63.6 | 87.8 | 75.5 | 80.3 | 78.8 | ||||
| 177 Alcohol exposed CIFASD III | 346 Controls CIFASD III | Low cutoff > 1.5 neurobehavioral battery & dysmorphology exam | AE | 83.1 | 59 | 50.9 | 87.2 | 67.1 | ||
| High cutoff > 2 neurobehavioral battery & dysmorphology exam | AE | 66.1 | 77.5 | 60 | 81.7 | 73.6 | ||||
| Classification 3 AE vs. ADHD; latent profile analysis of complex neurobehavioral battery, dysmorphology, growth | AE | 59.8 | 75.8 | 87.4 | 40 | 64 | ||||
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| Coles et al., 202091 | 82 High risk ARND CoFASP sample of 1st graders | 80 No risk CoFASP sample of 1st graders | Comprehensive neuropsychology battery | ARND CoFASP | 74.4 | 83.8 | 82.4 | 76 | 79 | |
| 85 Low-risk ARND CoFASP sample of 1st graders | 73 No risk CoFASP sample of 1st graders | 90.6 | 89 | 90.6 | 89 | 89.9 | ||||
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| Luca et al., 201687 | 21 FAS | 86 No FASD | Neurodevelopmental: quick screen neurological test-2 | FAS | 31.8 | 86.1 | 36.8 | 83.2 | 75 | |
| 60 PAE | 42 No PAE | AE | 18.3 | 87.5 | 64.7 | 46.2 | 49.1 | |||
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| Goh et al., 201688 | 146 CIFASD II AE | 288 No AE | Neurodevelopmental: complex neuropsychological battery | AE | 74.2 | 89.9 | 78.6 | 87.4 | 84.6 | |
| 55 CIFASD III child AE | 110 No AE | Psychologist decision tree incorporating complex neurobehavioral battery & physical exam | AE | 70.7 | 93.5 | 87.9 | 82.9 | 84.5 | ||
| 98 CIFASD III adolescent AE | 191 No AE | AE | 79.3 | 87.6 | 77.4 | 88.7 | 84.7 | |||
| 146 CIFASD II AE | 288 No AE | AE | 79.2 | 80.6 | 70.7 | 86.7 | 80.1 | |||
| 55 CIFASD III child AE | 110 No AE | AE | 63.8 | 93.4 | 85.7 | 80.7 | 82.1 | |||
| 98 CIFASD III adolescent AE | 191 No AE | AE | 81.3 | 78.3 | 71.4 | 86.2 | 79.5 | |||
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| Johnston et al., 201992 | 43 FASD | 20 PAE but no FASD | Movement battery of tests (-2 SD, < 2nd percentile) | FASD | 2–38 | 80–100 | ||||
| Movement battery of tests 5th percentile | 9–75 | 68–100 | ||||||||
| Movement battery of tests 9th percentile | 35–85 | 60–85 | ||||||||
| Movement battery of tests 16th percentile | 44–83 | 45–70 | ||||||||
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| Mattson et al., 201093 | CIFASD children ages 8–17; 41 AE/FAS | 46 CIFASD controls | Latent profile analysis of a complex battery | AE/FASD | 87.8 | 95.7 | 94.7 | 89.8 | 92 | |
| CIFASD children ages 8–17; 41 alcohol-exposed/deferred not FAS | 60 Controls | Latent profile analysis of a complex battery | AE/deferred FAS | 68.4 | 95 | 89.7 | 82.6 | 84.7 | ||
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| Mattson et al., 201389 | CIFASD children (ages 8–17) 209 AE (79 were FAS) | 185 Controls; 74 ADHD | Neurodevelopmental: complex neuropsychological battery Latent profile analysis of complex neurobehavioral battery Dysmorphia, growth | AE/FASD | 77.2 | 75.7 | 57.6 | 88.6 | 76.1 | |
| Classification 2 AE/non-FAS vs. controls | AE/FASD | 70.1 | 72.4 | 61.7 | 79.3 | 71.5 | ||||
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| Thorne & Coggins, 2008;94 Thorne et al., 200795 | 16 FASD | 16 Normal controls | Narrative speech samples (NSS)-ANRTW | FASD | 87.5 | 75 | 81.3 | 0.86 | ||
| NSS-PR | 81.3 | 62.5 | 71.9 | 0.77 | ||||||
| NSS-ANR | 81.3 | 81.3 | 81.3 | 0.76 | ||||||
| NSS-ANR Cutoff 1.7% | 100 | 1 | ||||||||
| NSS-AR | 0.76 | |||||||||
| NSS-Nominal Reference Errors (rNRE) | 88 | 0.9 | ||||||||
| NSS-Nominal Reference Errors (rNRE) 2% | 97 | 0.98 | ||||||||
Prediction characteristics evaluated in each study included sensitivity, specificity, NPV, PPV, accuracy, and AUC derived from ROC curves. Sensitivity refers to the probability that the test is positive when the condition is present. Specificity refers to the probability that the test is negative when the condition is not present. PPV refers to the probability that the condition, is present when the test is positive. NPV refers to the probability that the condition is not present when the test is negative. Accuracy refers to the overall probability that the case is correctly classified from the test. Finally, AUC is derived from creating receiver operating curves by plotting the true positive rate (sensitivity) relative to the false positive rate (1-specificity). The AUC references the area on the graph created by the regression line relative to the chance rate of prediction. Values of 1 would indicate perfect condition, and values of 0.50 would indicate chance prediction using a yes/no model. Predictive validity values are presented as percentages with the exception of AUC values, which are reported in proportions of accurate diagnostic classification with values of 0 to 1.00. The different categories of predictive data (facial, neurophysiological, neuroimaging, questionnaire, and psychological performance measures are shaded from white to dark blue.
Note: 2D, two-dimensional; 3D, three-dimensional; ADHD, attention-deficit/hyperactivity disorder; AE, alcohol-exposed; ANRTW, Ambiguous Normal Reference Total Word; ARND, alcohol-related neurodevelopmental disorder; ARND-BC, Alcohol-Related Neurodevelopmental Disorder Behavior Checklist; AUC, area under the curve; AUD, alcohol use disorder; BRIEF, Behavior Rating Inventory of Executive Function; BSI-FASD, biographic screening interview for fetal alcohol spectrum disorders; CBCL, Child Behavior Checklist; CIFASD, Collaborative Initiative on Fetal Alcohol Spectrum Disorders; CIFASD-II, CIFASD, Phase II; CIFASD-III, CIFASD, Phase III; CoFASP, Collaboration on FASD Prevalence; COR, cardiac orienting response; DTI, diffusion tensor imaging; FAE, fetal alcohol effect; FAS, fetal alcohol syndrome; FASD, fetal alcohol syndrome disorders; IOM, Institute of Medicine; MRI, magnetic resonance imaging; NPV, negative predictive validity; NSS, narrative speech samples; NSS-ANR, narrative speech sample–ambiguous normal reference; NSS-AR, narrative speech sample–ambiguity rate; NSS-PR, narrative speech sample–pronoun reference; OUD, opioid use disorder; PAE, prenatal alcohol exposure; pFAS, partial fetal alcohol syndrome; PPV, positive predictive value; rNRE, rate of nominal reference errors; ROC, receiver operating characteristic; SD, standard deviation.