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A 7-year-old boy is referred to you with h concerns about developmental delay. On assessment, he is found to have moderate mental retardation (1Q of 50) but no remarkable physical findings. His parents are considering having another child, and they wonder what caused the retardation in their first child and whether it is likely to recur in future offspring.
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EVIDENCE-BASED CASE REVIEWS
Investigation of children with “developmental delay”
.........................................................................................................
A 7-year-old boy is referred to you with concerns
about developmental delay. On assessment, he is
found to have moderate mental retardation (IQ of
50) but no remarkable physical findings. His
parents are considering having another child, and
they wonder what caused the retardation in their
first child and whether it is likely to recur in future
offspring.
.........................................................................................................
BACKGROUND
Developmental delay is a common problem in pediatrics,
with an estimated population prevalence as high as
10%.
1-4
The etiology includes various genetic and envi-
ronmental processes, with the most common causes being
Down syndrome and the fragile X chromosome. The pro-
portion of children with severe mental retardation found
to have an organic cause is reported as 55% to 57%.
5-7
No consensus exists on the choice of investigations for
developmental delay, with clinicians using a wide variety
of investigations.
8
The example we give in this article
is intended to illustrate the process used to evaluate
developmental delay in a variety of circumstances, recog-
nizing that the specifics will vary according to the clinical
situation.
This scenario raises many clinical questions. You wish
to use an evidence-based approach, so you frame your
questions to maximize the yield from searching and look
first for high-quality systematic reviews and evidence-
based practice guidelines to answer your questions. How-
ever, because most systematic reviews address issues of
therapy, no reviews or guidelines are found that address
your questions, which are mostly related to the probability
of particular causes of developmental delay. You go to
MEDLINE and EMBASE searches to try to answer these
questions (box 1).
You want to know the best estimate for the prevalence
of fragile X chromosome in the general population and the
best estimate for the prevalence of fragile X chromosome
among children with learning disabilities. From the 133
articles found in your search, 10 described population-
based studies of the prevalence of fragile X chromosome
that were performed since the cloning of the fragile X
mental retardation gene (FMR1) in 1991. Of the 10 stud-
ies, only 2 meet most of the criteria for high-quality preva-
lence studies (box 2).
You decide to start with the study of Murray et al
Summary points
In a 7-year-old child who has moderate intellectual
impairment:
The likely prior probability of having fragile X
syndrome is between 1 in 40 and 1 in 250 (ie, to find 1
child with the fragile X chromosome, between 40 and
250 children would need to be tested)
Currently available evidence shows that when a
scoring system based on physical and behavioral
features is used, a diagnosis of fragile X syndrome can
be confidently ruled out in those with low scores
Decisions that are made about testing will depend on the
population from which the child comes and the values
that the tester and the parents put on having a diagnosis
versus the disadvantages of unnecessary testing
The benefits of using this “clinical diagnostic test”
include preventing children from being subjected to an
unnecessary blood test, sparing parents the anxiety of
awaiting the results, and reducing the cost of
investigation
The benefits of testing for the fragile X chromosome
include the resolution of diagnostic uncertainty, the
prevention of further investigations, and the
identification of female carriers
Hattie Young/Science Photo Library
Down syndrome is one of the more common causes of developmental delay
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Louise Hartley
Dubowitz
Neuromuscular Centre
Hammersmith Hospital
Campus
Du Cane Rd
London W12 0NN
UK
Alison Salt
Neurodisability Service
Institute of Child Health
Mecklenburgh Square
London WC1N 2AP
Jon Dorling
Jenny Lind Children’s
Department
Norfolk and Norwich
Hospital
Brunswick Rd
Norwich NR1 3SR
UK
Paul Gringras
Imperial College of
Science, Technology and
Medicine
London, UK
Correspondence to:
Dr Hartley
louisehartley70@
hotmail.com
Competing interests:
None declared
..............................................................................................................................................................................
Volume 176 January 2002 wjm 29www.ewjm.com
because it was limited to boys, used a population-based
sample, and tested only those aged 18 years or younger.
9
Neither the case definition for mental retardation nor the
distribution of IQs in the population is stated in the study,
and the low prevalence of fragile X chromosome suggests
that this is a relatively lower risk group (higher IQ) than
that used in other studies. Only 70% of children with
special educational needs were tested, and no information
is available about nonresponders. Because the prevalence
estimate of fragile X chromosome from this study would
be affected if children with the chromosome were less or
more likely to participate, you try varying the prevalence
in the nonparticipating group to half or double that of the
participating group. This gives a prevalence range for the
overall population of between 1 in 3,990 and 1 in 6,171,
which is reassuring because these numbers overlap with
estimates from other studies identified by your search (de
Vries et al,
10
1/6,045; and Turner et al,
11
1/5,000). Ap-
plying the same assumptions to the population of learning
disabled boys in this study gives a range of 1 in 162 to 1
in 250 (0.6%-0.4%).
In the study by de Vries et al, the learning-disabled
group was stratified into mild and moderate-to-severe
learning difficulty.
10
Unfortunately, the authors excluded
those who already had a diagnosis of fragile X; these cases
must be included for accurate prevalence figures. If the
prevalence of fragile X chromosome among the nonre-
sponders is similar to that among the responders, then
adding those known to have fragile X and new diagnoses
to the numerator gives an estimated prevalence of fragile X
chromosome for mild mental retardation of 1 in 50, with
1 in 40 for moderate to severe mental retardation. In your
7-year-old child who has moderate intellectual impair-
ment, you estimate the probability of his having the fragile
X syndrome as somewhere between 1 in 40 and 1 in 250.
You would, therefore, need to test between 40 and 250
children to find 1 child with the fragile X chromosome.
You next consider the usefulness of dysmorphic fea-
tures in ruling in or ruling out the diagnosis of fragile X
syndrome. A search nets 33 articles regarding dysmorphic
features in those with the fragile X chromosome. From the
abstracts, two articles were found that used a combination
of physical and behavioral features to select who, among a
group of mentally retarded children, has the highest prob-
ability of testing positive for the fragile X chromosome,
using molecular testing for the FMR1 gene.
10,12
The article by Giangreco et al refines previously de-
fined checklists of phenotypic characteristics associated
with the fragile X chromosome into a six-item checklist
with a scoring system, shown in table 1.
12
In this study, a score of 5 or more of a maximum of 12
was found to identify all children who had the fragile X
chromosome. Using the identification of these features as
adiagnostic testfor fragile X chromosome, with mo-
Box 1
Focusing a literature search
Baseline risk In a 7-year-old boy (population) with
mental retardation who does not have a diagnosis
responsive to specific interventions (exposure), what is
the risk of having the fragile X chromosome (outcome)?
Search: MEDLINE 1966 to present and EMBASE
(Winspirs); search terms fragile X (text or MeSH heading)
AND prevalence
Baseline risk In a boy with mental retardation
(population) and no dysmorphic features (negative
test result), what is the risk of having the fragile X
chromosome (outcome)?
Baseline risk In a boy with mental retardation
(population) with dysmorphic features (positive test
result), what is the risk of having the fragile X
chromosome (outcome)?
Search: MEDLINE (PubMed Clinical Queries); search
term fragile X—click on “diagnosis” and “specificity”
Intervention/therapy In a boy with mental retardation
(population), does knowing the diagnosis of fragile X
chromosome (exposure) improve the parents’ ability
to plan and cope (outcome)?
Search: MEDLINE (PubMed); search terms parents
AND fragile X/diagnosis
Box 2
Criteria for appraising the quality of prevalence
studies
Was the case definition clear?
Was case ascertainment complete?
Were details of nonresponders or those not tested clear?
Was the group studied representative of your patient?
Did prevalence estimates include confidence intervals
and take into account the possibility of different
disease rates in the nonresponders?
Table 1 Phenotypic characteristics associated with fragile X: checklist and scoring system*
Characteristics Score
01 2
Mental retardation IQ >85 IQ 70–85 IQ <70
.............................................................................................................................................
Family history None Maternal female
with psychiatric
disorder
Maternal history of
X-linked mental
retardation
.............................................................................................................................................
Elongated face Not present Somewhat Present
.............................................................................................................................................
Large or prominent ears Not present Somewhat Present
.............................................................................................................................................
Attention deficit
hyperactivity disorder Not present Hyperactivity Present
.............................................................................................................................................
Autistic-like behavior† Not present 1 behavior >1 behavior
*From Giangreco et al.12
†Tactile defensiveness, perseverative speech, hand flapping, poor eye contact.
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30 wjm Volume 176 January 2002 www.ewjm.com
lecular testing as the gold standard, you use the guidelines
on assessing diagnostic and screening tests summarized in
box 3.
13
In this retrospective study, the molecular polymerase
chain reaction (PCR) technique was used in all patients,
but the authors do not state whether those applying the
diagnostic test were blind to the (PCR-defined) fragile X
status of the patients. If the assessors already knew the
answer,the potential for biased assessment is high. The
scoring system is clear; however, some of the physical fea-
tures, such as long face and large or prominent ears, are
subjective, and no objective measurements are given.
Some of the behavioral characteristics may also be open to
interpretation. The provision of genetic testing at the time
of the study may have been unique to this study or this
location; if so, this could have attracted a highly selected
group of children, and the results may not be generaliz-
able. Because the clinical features of fragile X syndrome are
well known to clinicians, and all children were referred for
testing, the children referred are likely to have had a high
prevalence of the chromosome. The data necessary for
calculating likelihood ratios (LRs) presented in the article
are shown in table 2.
In this study, a negative result (those with a score <5)
will effectively rule out a diagnosis of the fragile X chro-
mosome because it is a highly sensitive test. That is, chil-
dren with a low score on the clinical assessment are un-
likely to have the chromosome. However, the calculated
LR of a positive test in this study is 2.5. In general, LRs
between 2 and 5 generate only small changes in probabil-
ity. Indeed, if the pretest probability is 3.5%, then a posi-
tive test increases the probability of having the fragile X
chromosome to only 8.2%.
de Vries et al studied a prospectively collected sample
with examiners blind to the fragile X result
10
using a simi-
lar scoring system: the phenotypic criteria described by
Laing et al.
14
Scores were divided into three groups: low
risk, when dysmorphic features suggested another diagno-
sis; medium risk, in the absence of dysmorphic features;
and high risk, in the presence of fragile X chromosome
characteristics. This sample contained many adults in
whom the phenotype is more characteristic than in chil-
dren. Despite this, the outcome was impressive. None of
the low- or medium-scoring males had the fragile X chro-
mosome, with all those who had the chromosome scoring
in the high range. Of course, this did not mean that all of
the high scorers had the syndrome. The LR for a high
score was 10, and the LR for a low or medium score was
0. The high LR for a positive test confirms your suspicion
that the patients in their group showed more distinct fea-
tures. This indicates how test performance, including LRs,
can vary when a test is applied to different groups.
Although neither of these studies is ideal, both show
that children who do not have the fragile X chromosome
can be correctly identified clinically (decreasing the num-
ber of molecular tests that are done) and that having clini-
cally identified features increases the likelihood of a posi-
tive genetic test but does not confirm the diagnosis. If our
group were similar to that described by Murray et al, with
a prevalence of 0.4% (the lowest possible estimate of
prevalence), and the diagnostic test performed in the same
way as described by Giangreco et al, with an LR of 2.5, the
Box 3
Criteria for appraising studies of diagnostic tests
Does the study include an independent, blind
comparison with an adequate reference standard?
Did the sample include an appropriate spectrum of
patients to whom the test should be applied in
practice?
Did the test result influence the decision to perform
the reference standard?
What are the results, and what is the precision of the
results?
Will the test help in caring for patients?
Table 2 Calculation of likelihood ratios
Test score
Positive fragile
X PCR test,
no. of patients
Negative fragile
X PCR test, no.
of patients Likelihood ratios
5 12 129 For positive test:
(12/12)/(129/323) = 2.5
.............................................................................................................................................
<5 0 194 For negative test:
(0/12)/(194/323) = 0
.............................................................................................................................................
Total 12 323
PCR = polymerase chain reaction
Table 3 Considerations for genetic diagnostic testing in developmentally delayed children*
Positive effects Negative effects
Treatment—such as thyroid replacement
therapy if hypothyroid Harm from testing—the pain of
venepuncture or the risk of general
anesthetic for some investigations
.............................................................................................................................................
Genetic counseling—such as discussion
of chromosome abnormality with
extended family
False-positive and false-negative results
.............................................................................................................................................
Explanation—for parents and family,
even if no treatment identified Financial costs
.............................................................................................................................................
Prognostic information
.............................................................................................................................................
Research—if an investigation may
increase understanding of the
mechanisms and/or genetics of the
developmental delay
*From Gringras.8
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Volume 176 January 2002 wjm 31www.ewjm.com
posttest probability of having the fragile X chromosome
would have increased from 0.5% to 1.0%.
9,12
However,
the high sensitivity of the test suggests that instead of
testing 250 children before finding 1 child with the fragile
X chromosome, you could exclude 150 of those children
(60%) from testing with minimal risk of missing a case. de
Vries et al suggest that in a group with moderate or severe
mental retardation, a higher prevalence may be expected
(the highest estimate being 3.3%).
10
Excluding those with
a known diagnosis from the denominator gives an esti-
mated prevalence of about 4%, so the posttest probability
is, therefore, increased to 10%. Under these circum-
stances, for every 24 children at risk, 14 could be excluded
from testing, and 1 of the remaining 10 would have the
fragile X chromosome.
You wonder about the benefit to the parents of know-
ing their sons diagnosis but are not able to find random-
ized trials or cohort studies directly relating to the diag-
nosis of fragile X chromosome. A table is found that
provides a framework with the different values associated
with making a diagnosis in children with developmental
delay (table 3).
.........................................................................................................
Resolution of the scenario
You are now able to estimate the probability of
the patient’s having the fragile X chromosome as
somewhere between 1 in 40 and 1 in 250 and
would, therefore, need to test between 40 and
250 children to find 1 child with the chromosome
abnormality. If this child has a score of less than
5 for the features described by Giancreco et al,
you feel confident in ruling out the chromosome
abnormality and not proceeding to molecular
testing.
12
Because there is no well-established treatment
option, the direct benefit to the patient of making
a diagnosis is marginal. However, the use of this
clinical diagnostic test avoids subjecting some
children to an unnecessary blood test and spares
some parents the anxiety of awaiting the results,
as well as the unnecessary expenditure. In
addition, the resolution of diagnostic uncertainty
can provide much relief and stop further
investigations for a cause of developmental
delay. As more information on the prognosis of
this condition becomes available, parents and
patients may benefit from this knowledge. Also,
for the parents and relatives, the identification of
female carriers may allow an informed choice
regarding at-risk pregnancies.
.........................................................................................................
CONCLUSION
Within the limitations of current evidence, some infor-
mation is now available on the range of the possible preva-
lence of the fragile X chromosome in different groups, and
some understanding of how specific features of the fragile
X syndrome may influence your decision making. The
decisions that are made depend on the group from which
the child comes and the values that the tester and the
parents put on having a diagnosis versus the disadvantages
of unnecessary testing. In this article, we provide a model
for thinking through the issues involved in the investiga-
Fragile X syndrome: the benefits of testing include diagnostic certainty. (Courtesy of the Fragile X
Society, www.fraxa.org)
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32 wjm Volume 176 January 2002 www.ewjm.com
tion of developmental delay and a way of incorporating
evidence into this process. We have chosen a common
example to illustrate the process, that of fragile X syn-
drome, the second most common cause of mental retar-
dation after Down syndrome. The prevalence of a par-
ticular disorder in different patient groups will influence
the outcome of any diagnostic investigations. This method
is generalizable to other causes of developmental delay.
This article was edited by Virginia A Moyer of the Department of
Pediatrics, University of Texas Medical Center at Houston. Articles in
this series are based on chapters from Moyer VA, Elliott EJ, Davis RL,
et al, eds. Evidence-Based Pediatrics and Child Health. London: BMJ
Books; 2000.
....................................................................................................
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Volume 176 January 2002 wjm 33www.ewjm.com
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... Previously, a delay in the GABA action polarity switch was observed in mouse models of fragile X (He et al., 2014) and other developmental disorders (Amin et al., 2017;Corradini et al., 2017;Furukawa et al., 2017). Fragile X exhibits many similarities with DS, such as developmental delays (Hartley et al., 2002), deficits in attention and learning (Conners et al., 2011;Scerif and Steele, 2011), and deficient long-term potentiation in DG (Eadie et al., 2012;Kleschevnikov et al., 2004;Yun Fig. 2. GABA action polarity switch timing is delayed in acute hippocampal slices of neonatal Ts65Dn mice. A. Examples of extracellular recordings of MUA in the CA3 region of slices from P8, P12, and P16 littermate 2 N (left column) and Ts65Dn (right column) pups. Graphs under the traces show changes in MUA frequency during the experiments. ...
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The purposes of the present study were to describe the longitudinal utilization rates of participation in early intervention services of children with developmental delays, and to examine the geographical difference of services in this vulnerable population. We analyzed service utilization of the developmentally delayed children based on data of governmental reported early intervention services from year 2003 to 2009 in Taiwan. Results show that, the utilization rate of early intervention services was 9.18‰ (range=6.96-12.09‰) of children in 0-5 years during the past 7 years. Mean utilization rate in age group of 0-2 years was 8.32‰ (range=5.73-10.93‰), and age group of 3-5 years was 9.92‰ (range=7.78-13.78‰). We found that the utilization rate in all children aged 0-5 years (R(2)=0.93; p<0.001), boy group (R(2)=0.93; p<0.001) and girl group (R(2)=0.92; p=0.001) were significant increased gradually. The higher utilization rate of early intervention services (aged 0-5 years) were more likely to locate in the north cities (Keelung City=14.65‰; Taipei City=13.49‰), east areas--Hualien County (14.03‰), Taitung County (11.76‰) and central or south counties such as, Chiayi City (14.05‰), Tainan City (12.47‰), and Miaoli County (12.38‰). Hsinchu County (5.97‰), Kaohsiung City (6.21‰), Taichung County (6.74‰), Taipei County (6.95‰) have lower utilization rates of early intervention in Taiwan. The study highlights that the health care system should close the gaps in geographic disparities of early intervention services for children with developmental delays, and respond timely to the needs of these vulnerable children and their families.
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A selective approach is recommended for investigating children with GDD. Our objective is to identify clinical markers to improve the diagnostic yield of evaluation of children with GDD. Children with GDD (delay>2 S.D. in>1 domain) followed up in our centre were reviewed retrospectively. We selected nine clinical markers (sex, severity of GDD, parental consanguinity, family history, behavioral problems, head size, facial dysmorphism, non-facial anomalies and neurological deficits) and looked into the likelihood of finding an underlying etiology during follow-up. There were 577 children with 63%, 33% and 4% having mild, moderate and severe grade GDD. An identifiable etiology is detected in 53%. Genetic disease (25%) was the commonest cause identified. We have found that severity of GDD (severe and moderate versus mild grade [LR+=1.92 (95% C.I.=1.49-2.48); LR-=0.72(0.64-0.81)], behavioral problems [LR+=0.24 (95% C.I.=0.17-0.34); LR-=1.67 (1.48-1.88)], facial dysmorphism [LR+=2.66 (95% C.I.=1.10-3.54); LR-=0.65 (0.58-0.73)] and neurological deficits [LR+=2.85 (95% C.I.=2.32-3.50); LR-=0.31(0.25-0.39)] were clinical markers associated with increased chance of identifying an underlying etiology by multivariate analysis. These four clinical markers are useful in selecting patients with GDD for further diagnostic tests. Using the LR model, clinical markers in the first clinical evaluation of any child with GDD can potentially improve the etiological yield using targeted investigations.
Article
Few well-constructed studies have systematically evaluated medical investigation protocols for children with autistic spectrum disorders. This is in large part due to the heterogeneous nature of the population and changing diagnostic frameworks. This review outlines the studies that have directed investigation strategies to date, and discusses how these might be applied in the clinical situation. The importance of listing the conditions that may be present on the basis of the specific clinical presentation, and using a thorough history and examination to generate a pre-test probability of the target disorders is emphasized if tests are to be useful in directing therapy or broader management approaches.
Book
Results of the Collaborative Perinatal Project report disclose the risk factors for mental retardation found in children examined from the prenatal period to age seven. Both biological and social risk factors are analyzed for both severe and mild cognitive deficits. The authors of this volume investigated the etiologies of the neurological subgroups of the retarded and reveal, through comparisons with non-retarded groups, important population factors related to normal cognitive development. © 1987 by Lawrence Erlbaum Associates, Inc. All rights reserved.
Article
• Evaluation of a mentally deficient child should be individualized, using findings from an appropriate history and physical examination. Depending on these findings the patient may be assigned to one of four subcategories, as determined by clinical indications and the patient's age at onset of the problem. These categories are (1) prenatal problem of morphogenesis, (2) perinatal insult to brain, (3) postnatal onset of brain dysfunction, and (4) undecided age at onset. This subcategorization has relevance to the type of diagnostic studies that may be indicated. Using this approach, a retrospective study of the diagnostic evaluations of 98 mentally deficient children was performed. Ninety percent of these children were considered to have had "nonrational" laboratory tests, and of these, none contributed to elucidation of the basic diagnosis. The only tests that were valuable had been indicated by a specific historical or physical finding in addition to mental deficiency. (Am J Dis Child 129:1285-1290, 1975)
Article
In an unselected series of children with severe mental retardation born in 1959-1970 in a northern Swedish county, an analysis was made of the incidence, prevalence, gestation age, birth-weight, associated central nervous system disorders, and aetiological and pathogenetic aspects. The mean annual incidence of severe mental retardation in children alive at the age of one year was 3.9 per 1,000 i.e. one in 250. The prevalence of severe mental retardation at one to sixteen years of age was 3.5 per 1,000. A significantly higher cumulative incidence was found in children born in 1959-1962 (5.3 per 1,000) than in children born in 1963-1967 (3.4 per 1,000) and 1960-1970 (3.1 per 1,000) respectively. This decrease in the frequency of children with severe mental retardation was mainly due to a reduction of the incidence of children with Down's syndrome. The mean gestational ages and birth-weights were lower than those of an average Swedish population of newborns. The distribution of birth-weights in relation to gestational age showed that there were too many small for gestational age children. The dominating aetiology of mental retardation in the series was prenatal, which was noted in sixty-eight per cent. In thirty-five percent the mental retardation was due to a chromosomal aberration and in seventeen per cent to mutant genes. Eight per cent of the children had associated prenatal stigmata of unknown aetiology, and in eight per cent an acquired aetiology was found, mainly foetal deprivation of supply. A prenatal aetiology was found in only eight per cent and a post-natal aetiology, as well as psychosis, in one per cent of the children. In twenty-two per cent no obvious aetiology was traced. Among the 161 children, fifty-two per cent had one or more associated central nervous system handicaps - epilepsy (thirty-six per cent) and cerebral palsy (nineteen per cent) being the most common. Severe impairment of vision was seen in ten percent and severe impairment of hearing in six per cent of the children.
Article
Evaluation of a mentally deficient child should be individualized, using findings from an appropriate history and physical examination. Depending on these findings the patient may be assigned to one of four subcategories, as determined by clinical indications and the patient's age at onset of the problem. These categories are (1) prenatal problem of morphogenesis, (2) perinatal insult to brain, (3) postnatal onset of brain dysfunction, and (4) undecided age at onset. This subcategorization has revelance to the type of diagnostic studies that may be indicated. Using this approach, a retrospective study of the diagnostic evaluation of 98 mentally deficient children was performed. Ninety percent of these children were considered to have had "nonrational" laboratory tests, and of these, none contributed to elucidation of the basic diagnosis. The only tests that were valuable had been indicated by a specific historical or physical finding in addition to mental deficiency.
Article
A clinical score based on the manifestations of the fragile(X) syndrome has been formulated and applied to all individuals included in a fragile(X) case finding program in New South Wales. The total score can vary from 0 to 10. Individuals are scored 0, 1, or 2 in each of 5 categories considered indicative of the fragile(X) phenotype: family history of intellectual handicap, face length, ear configuration, personality, and body habitus. In a study of 1,206 individuals where the clinical scores were prospective (i.e., they had been given before the cytogenetic results were known) the percentage of those with the fragile(X) increased from 0.6% of those with scores of 4 or less to 14.6% with scores 5–7 and to 67% of those with scores 8–10. We have found the score simple to use in the circumstances where screening takes place (sheltered workshops and schools) and have reduced the number of individuals tested cytogenetically by 45%.
Article
Associations between the results of developmental screening at five ages between 30 weeks and three years and the children's educational and behavioural status in normal primary schools at 6% to 7% years were examined in two samples of children living in Dundee and born in 1974 and 1975. In one sample the screening results for 417 children with moderately severe or severe school problems were compared with the screening results for a control group without school problems. Positive associations were found between school problems and motor and adaptive screening test results (from 39‐week screening onward), language (from 15 months), preschool behaviour (at 39 weeks and two years) and neurological status (at 39 weeks and three years). In the second sample the questionnaire scores of 570 children known to be suspect on screening were compared with the scores of a control group whose screening results had been considered within the normal range. Adaptive and neurological screening tests provided the best predictors of behaviour problems in school and of educational failure. It is suggested that more thorough developmental and neurological assessments, at less frequent intervals, than is common in most screening programmes would facilitate identification of (and intervention for) preschool neurodevelopmental disability among children at risk of early schooling problems. RÉSUMÉ Valeur prédictive des examens systéatiques dans différents domaines de développement Les associations entre les résultats d'examens systématiques de développement effectués à cinq âges entre 30 semaines et trois ans et le statut éducatif et comportemental dans les écoles normales primaires à 6 ans 1/2 et 7 ans 1/2 ant été examinées pour deux échantillons d'enfants vivant à Dundee et nés en 1974 et 1975. Dans un échantillon, les résultats de dépistage pour 417 enfants avec problèmes scolaires modé rément graves ou graves ont été compares avec les résultats de dépistage d'un groupe contrôle sans problème scolaire. Des associations positives ont été trouvtées entre les problèmes scolaires et les résultats au test de dépistage moteur et adaptatif (à partir des mesures á 39 semaines), de langage (de 15 mois), de comportement préscolaire (à 39 semaines et deux ans) et de statut neurologique (à 39 semaines et trois ans). Dans le second échantillon, les scores de questionnaire de 570 enfants connus cornme suspects aux examens systématiques antérieurs, ont été comparés aux scores d'un groupe contrôle dont les résultats d'examens systématiques avaient été considéré dans la norme. Les tests de dépistage adaptatif et neurologique ont fourni les meilleures prédictions de problémes comportemèntaux áécole et d'echec scolaire. Les auteurs suggérent que des appréciations plus complétes du développement et de l'é tat neurologique, á intervalles moins fréquents, qu'il n'est habituel dans la plupart des programmes de surveillance, faciliteraient I'identification (et les interventions conséquentes) de difficultés préscolaires neurodé veloppementales parmi les enfants à risque de problémes Scolaires précoces. ZUSAMMENFASSUNG Prognostischer Wert des Entwicklungsscreenings Bei zwei Gruppen von Kindern, die in Dundee leben und in den Jahren 1974 and 1975 geboren wurden, sind die Beziehungen zwischen den Ergebnissen des Entwicklungsscreenings in fünf Altersstufen zwischen 30 Wochen und drei Jahren und den Schulleistungs‐ und Verhaltensbefunden in normalen Grundschulen im Alter von 61/2 und 71/2 Jahren untersucht worden. In der einen Gruppe wurden die Screeningbefunde von 417 Kindern mit mäßig schweren bis schweren Schulproblemen mit den Screeningbefunden einer Kontrollgruppe ohne Schulprobleme verglichen. Positive Relationen wurden zwischen Schulproblemen und motorischen und adaptiven Screeningtestergebnissen (Screeningbeginn 39 Wochen), Sprache (ab 15 Monate), Vorschulverhalten (mit 39 Wochen und zwei Jahren) und neurologischem Status (rnit 39 Wochen und drei Jahren) gefunden. In der zweiten Gruppe wurden die Fragebogenscores von 570 Kindern, die im Screening auffällig waren, mit den Scores einer Koritrollgruppe verglichen, deren Screeningergebnisse im Normbereich lagen. Adaptive und neurologische Screening Tests lieferten die besten Prognosen für Verhaltensprobleme in der Schule und fur ein Versagen im Schulleistungsbereich. Die Autoren sind der Ansicht, daß genauere Beurteilungen der Entwicklung und der Neurologie in größfieren Abständen, als es in den meisten Screeningprogrammen gemacht wird, die Klärung (und Behandlung) von Störungen der neurologischen Entwicklung im Vorschulalter bei Kindern fordern wiirden, die gefahrdet sind, frühzeitig Schulprobleme LU bekommen. RESUMEN Valor predictivo del ‘barrido’ en diferentes áreas del desarrollo Se examinaron las asociaciones entre 10s resultados del ‘barrido’ del desarrollo en cinco edades desde las 30 semanas a los tres aflos de edad y el estadio educacional y conductual en escuelas primarias normales de los 61/2 a los 71/2 aflos, en dos muestras de nißos residentes en Dundee y nacidos en1974 1975. En una muestra 10s resultados del ‘barrido’ en 417 nißflos con problemas escolares moderados o graves se compararon con los ‘barridos' de un grupo control sin problemas escolares. Se hallaron asociaciones positivas entre los problemas escolares y los resultados de tests adaptativosy motores (barrido desde la semana 39 en adelante), de lenguaje (de 15 meses), comportamiento preescolar (a las 39 semans y dos aßos) y estatus neurolbgico (a las 39 semanas y tres aflos). En la segunda muestra, los puntajes del cuestionario de 570 mißos que habian sido sospechosos en el ‘barrido’ fueron comparados con los puntajes de un grupo control cuyos resultados en el ‘barrido’ habian sido considerados como normales. Los tests de ‘barrido’ adaptativo y neurólogico fueron los mejores predictores de los problemas de comportamiento en la escuela, así como del fallo escolar. Se sugiere que unas evaluaciones del desarrollo y situaceón neurologica realizadós con intérvalos más cortos de lo que es corriente en la mayoria de los programas de ‘barrido’, facilitarián la identificación (y la intervención) en la dificultad preescolar neuroevolutiva en niños con riesgo deproblemas escolares precoces.
Article
Data collected on 4500 developmentally delayed clients and classified according to a modification of Heber's criteria are presented. Statistically significant associations between variables are described. Although such associations are not necessarily biologically meaningful on this evidence alone, they are presented for comparison with other data collections and to suggest areas of further investigation. An examination is made of data relating to mental retardation of unknown cause compared with mental retardation of known causes. The unknown group most resembles those with metabolic disease and least resembles those with chromosome aneuploidy. The data also suggest that mental retardation secondary to brain injury is uncommonly associated with evidence of genetic predisposition.
Article
In children with mental retardation, development is altered so that adaptive and cognitive skills are significantly deficient. Causes of mental retardation are varied and include newborn trauma, infectious diseases, chromosomal abnormalities, metabolic disorders, and environmental toxins. In many cases, however, the cause of mental retardation remains unknown. Most affected children have mild retardation and are able to achieve economic and social independence as adults. Early identification by the pediatrician of a developmental delay is important to ensure appropriate treatment and to enable the child to develop all of his or her capabilities.
Article
Preliminary results on a large population-based molecular survey of FRAXA and FRAXE are reported. All boys with unexplained learning difficulties are eligible for inclusion in the study and data are presented on the first 1013 tested. Individuals were tested for the number of trinucleotide repeats at FRAXA and FRAXE and typed for four flanking microsatellite markers. Mothers of 760 boys were tested to determine the stability of the FRAXA and FRAXE repeats during transmission and to provide a population of control chromosomes. The frequency of FRAXA full mutations was 0.5%, which gives a population frequency of 1 in 4994, considerably less than previous reports suggest. No FRAXE full mutations were detected, confirming the rarity of this mutation. In the boys' X chromosomes, we detected one FRAXA premutation with 152 repeats and one putative FRAXE premutation of 87 repeats. No full or premutations were seen in the control chromosomes. A significant excess of intermediate alleles at both FRAXA and FRAXE was detected in the boys' X chromosomes by comparison with the maternal control chromosomes. This suggests that relatively large unmethylated repeats of sizes 41-60 for FRAXA and 31-60 for FRAXE may play some role in mental impairment. No instability was found in transmissions of minimal or common alleles in either FRAXA or FRAXE, but we saw two possible instabilities in transmission of FRAXA and two definite instabilities in transmission of FRAXE among 43 meioses involving intermediate or premutation sized alleles. We found no linkage disequilibrium between FRAXA and FRAXE but did find significant linkage disequilibrium between large alleles at FRAXE and allele 3 at the polymorphic locus DXS1691 situated 5 kb distal to FRAXE.
Article
The much-quoted prevalence figure of 1:1,000 males for fragile X syndrome is an overestimate in a mixed ethnic population. A reexamination of the individuals from whom those data were derived using molecular diagnostic techniques demonstrates a more realistic figure of 1:4,000 males.