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Maternal thyroid disorder in pregnancy and risk of cerebral palsy in the child: a population-based cohort study

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BMC Pediatrics201818:181

https://doi.org/10.1186/s12887-018-1152-5

  • Received: 14 December 2017
  • Accepted: 18 May 2018
  • Published:
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Abstract

Background

Cerebral palsy is the most frequent motor disability in childhood, but little is known about its etiology. It has been suggested that cerebral palsy risk may be increased by prenatal thyroid hormone disturbances. The objective of this study was to investigate whether maternal thyroid disorder is associated with increased risk of cerebral palsy.

Methods

A population-based cohort study using two study populations. 1) 1,270,079 children born in Denmark 1979–2007 identified in nationwide registers, and 2) 192,918 children born 1996–2009 recruited into the Danish National Birth Cohort and The Norwegian Mother and Child Cohort study, combined in the MOthers and BAbies in Norway and Denmark (MOBAND) collaboration cohort. Register-based and self-reported information on maternal thyroid disorder was studied in relation to risk of cerebral palsy and its unilateral and bilateral spastic subtypes using multiple logistic regression. Children were followed from the age of 1 year to the age of 6 years, and cerebral palsy was identified in nationwide registers with verified diagnoses.

Results

In register data, hypothyroidism was recognized in 12,929 (1.0%), hyperthyroidism in 9943 (0.8%), and unclassifiable thyroid disorder in 753 (< 0.1%) of the mothers. The odds ratio for an association between maternal thyroid disorder and bilateral spastic cerebral palsy was 1.0 (95% CI: 0.7–1.5). Maternal thyroid disorder identified during pregnancy was associated with elevated risk of unilateral spastic cerebral palsy (odds ratio 3.1 (95% CI: 1.2–8.4)). In MOBAND, 3042 (1.6%) of the mothers reported a thyroid disorder in pregnancy, which was not associated with cerebral palsy overall (odds ratio 1.2 (95% CI: 0.6–2.4)).

Conclusions

Maternal thyroid disorder overall was not related to bilateral spastic cerebral palsy, but maternal thyroid disorder identified in pregnancy was associated with increased risk of unilateral spastic cerebral palsy. These findings should be replicated in studies making use of maternal blood samples.

Keywords

  • Maternal thyroid disorder
  • Pregnancy
  • Prenatal exposure
  • Cerebral palsy
  • The Danish National Birth Cohort
  • The Norwegian mother and child cohort study
  • Register-based cohort

Background

Cerebral palsy (CP) is the most prevalent severe motor disability in childhood affecting approximately 2 per 1000 live-born children [1]. Recent studies have suggested that birth complications constitute only a small part of the factors contributing to the multifactorial etiology of CP, and that most CP risk factors probably operate prenatally [2]. Several studies have demonstrated that elevated maternal serum levels of thyrotropin and low thyroid hormone in pregnancy may affect child neurodevelopment, including motor function [36]. A number of studies have linked thyroid hormone disturbances of mothers or newborns to CP [711], but not every study finds the association [12].

Endogenous fetal thyroid hormone production begins around 10-18th week of gestation. The fetus, therefore, depends on maternal thyroid hormone entirely in early pregnancy, and from mid-gestation fetal thyroid hormone production acts in concert with the maternal hypothalamic-pituitary-thyroid axis [8, 13, 14]. Thyroid hormone is required for many aspects of brain development, including myelination of nerve cells, and insufficient myelination is often present in individuals with CP [8, 15]. Moreover, hypo- and hyperthyroidism are correlated with coagulation abnormalities that can lead to ischemia or bleeding, which may underlie unilateral spastic CP [16, 17]. Thyroid diseases are difficult to stabilize with treatment, especially in pregnancy [18], and it is not unusual for overtreatment to lead women diagnosed with hypothyroidism to have elevated thyroid hormone levels and women with hyperthyroidism to have reduced thyroid hormone levels. Thus, we aimed to investigate the association between maternal thyroid disorder in pregnancy and risk of cerebral palsy in the child in two study populations in Denmark and Norway, each one with a distinct research advantage. One study population permitted examination of different thyroid disorder and CP subtypes in a very large study sample, while the other provided opportunities for performing analyses that controlled for lifestyle factors.

Methods

Study design and populations (Fig. 1)

One study population is register-based and comprises children born in the eastern part of Denmark in 1979–1996, and children born in all of Denmark in 1997–2007. In total, 1,277,101 live births were identified through the Danish Civil Registration System [19]. Individual-level data from nationwide registers on the children and their mothers were linked by use of the unique personal identifier to which all live-born children in Denmark are assigned. We excluded infant deaths (n = 7022), leaving 1,270,079 children for the final analyses.
Fig. 1
Fig. 1

Flowchart of the register-based study population and MOBAND study population. Abbreviations: MOBAND, MOthers and BAbies in Norway and Denmark (MOBAND). DNBC, Danish National Birth Cohort. MoBa, Norwegian Mother and Child Cohort study

The other study population is derived from the MOthers and BAbies in Norway and Denmark (MOBAND) collaboration cohort [20], which consists of pooled data from the Danish National Birth Cohort (DNBC) and The Norwegian Mother and Child Cohort study (MoBa) [21, 22]. MOBAND includes 210,400 live-born children born in 1996–2009 on whom detailed information on prenatal exposures was obtained around gestational week 16 and 31 by telephone interviews in DNBC, and around gestational week 17 and 30 by self-administered questionnaires in MoBa, as described in more detail elsewhere [20]. We excluded children without any prenatal information from the earliest data collection (n = 16,691), infant deaths (n = 634), and children with incomplete information on maternal thyroid disorder (n = 157), leaving 192,918 children for the final analyses.

Register-based data

Diagnoses of thyroid disorder in the Danish mothers were derived from the Danish National Patient Register [23], which keeps information on hospital admissions since 1977 and outpatient visits since 1995. Until 1994, all diagnoses were coded using the eighth version of the Internal Classification of Diseases (ICD-8), and since 1995, the tenth version (ICD-10). The Danish National Prescription Registry [24], established in 1995, provided the Anatomical Therapeutic Chemical (ATC) codes indicating redeemed prescriptions dispensed from Danish pharmacies. The Danish Medical Birth Registry [25] and population registers in Statistics Denmark [26] provided information on characteristics of the Danish participants, while the Medical Birth Registry of Norway [27] provided information on the Norwegian participants.

Exposure to maternal thyroid disorder

Maternal hypothyroidism and hyperthyroidism in the register-based study population were defined by a hospital diagnosis and at least one redeemed prescription of the appropriate medication, i.e. thyroid hormone (ACT-code: H03A) for hypothyroidism and anti-thyroid medication (ACT-code: H03B) for hyperthyroidism, to enhance the validity of the identified disorders. Hypothyroidism was identified by ICD-8 codes 243.99 and 244.00–244.09, and by ICD-10 codes E00, E03.0-E03.9 and E89.0, excluding 244.02, E03.0A, E03.1B, and E03.4. Hyperthyroidism was identified by ICD-8 as 242.00–242.29 and by ICD-10 as E05.0-E05.9, excluding E05.4, E05.8A, and E05.9A. There were some exceptions; when a first-time diagnosis was recorded before the establishment of the Danish National Prescription Registry in 1995, the diagnosis code exclusively determined exposure status. Further, as the Danish National Patient Register does not keep information on diagnoses made by general practitioners, we also defined hypothyroidism by at least two redemptions of thyroid hormone prescriptions and no redemptions of anti-thyroid medication prescription, and we defined hyperthyroidism by at least two redemptions of anti-thyroid prescriptions; regardless of thyroid hormone prescriptions, in case of no record of thyroid diagnosis [2830] (see Additional file 1: eMethod 1 for information on additional coding). We included all thyroid disorders recorded until 5 years subsequent to pregnancy until 2010 inclusive. Time of identification of thyroid disorder was defined as the day of the first diagnosis code or redeemed prescription, whichever was recorded first, and categorized into; ‘before pregnancy’, ‘during pregnancy’, and ‘within 5 years after pregnancy’.

In MOBAND, information on maternal thyroid disorder in pregnancy was based on self-reports from the earliest data collection in pregnancy, which was around 16–17 weeks of gestation. The data collected in MoBa only distinguished thyroid disorder overall and could not separate hypo- and hyperthyroidism. We used information from the second pregnancy interview of DNBC and the earliest questionnaire of MoBa to define the use of thyroid medication in pregnancy.

Cases of cerebral palsy

Danish CP cases were identified through the Danish National Cerebral Palsy Registry that includes all children surviving the first year of life with a neuro-pediatrician validated diagnosis of CP at age five-six years [31, 32]. In 1979–1996 the register covered the eastern part of Denmark, and in 1997–2007 it was nationwide. Approximately 80% of the Norwegian cases were identified though the Cerebral Palsy Registry of Norway [33]. The remaining cases were identified in record linkage with the Norwegian Patient Registry and verified by neuro-pediatricians’ examinations of medical records [34]. We assessed all CP subtypes combined and the two major subtypes: unilateral and bilateral spastic CP.

Covariates

We used register-based data to form the variables: the year of child’s birth, maternal age (< 25, 25–29, 30–34, ≥35 years), child’s sex (boy, girl), gestational age (≥37, < 37 weeks of gestation), and maternal diabetes (no, type 1, type 2) for both study populations. For the register-based study population, we also obtained information from administrative registers about maternal educational level (basic, intermediate, higher). In MOBAND, we used self-reported information on maternal occupational status (employed, unemployed, student, receiving benefits or pension), maternal alcohol consumption per week (0, 0.5, 1–2.5, ≥3 units), and number of cigarettes smoked per day (0, 1–9, ≥10); all reported in the earliest data collection.

Statistical analyses

We used logistic regression to estimate odds ratios (OR) with 95% confidence intervals (95% CIs) for the relationship of CP with maternal thyroid disorder. Robust standard errors were used to take into account the potential dependency between siblings. To guide our decision about which potential confounders we should adjust for, we used Directed Acyclic Graphs [35]. The adjusted models included the child’s birth year, maternal diabetes, maternal age, and maternal socioeconomic position (education/occupation), and in addition smoking and alcohol consumption in pregnancy in the MOBAND study population. We imputed missing values of covariates by use of multiple imputations (see Additional file 1: eMethod 2).

In the register-based study population, we stratified by child’s sex and gestational age, respectively, to explore whether exposure to maternal thyroid disorder has a greater impact on risk of CP in boys and children born at term. Potential misclassification of exposure was assessed by examining the agreement of self-reported and register-based information on maternal thyroid disorder in the 90,088 Danish children included in both the register-based and MOBAND study population. We subsequently applied the calculated positive and negative agreement to adjust estimates for non-differential misclassification error by using a probabilistic approach [36] (for more details see Additional file 1: eMethod 3).

To assess the sensitivity of our findings to diagnostic errors or incomplete data, we ran several secondary analyses. In the register-based study population, we restricted caseness to hospital-diagnosed maternal thyroid disorders, and also to diagnoses and redeemed prescriptions recorded from 10 years before to 5 years after pregnancy. In both study populations, we also restricted analyses to children with complete data on covariates. Finally, we included children who died within the first year of life in the study population and assessed the relationship of maternal thyroid disorder to infant death in case infant death linked to maternal thyroid disorder (perhaps with brain damage) precluded the possibility of a CP diagnosis. All analyses were performed using StataSE 14 (64-bit).

Results

Characteristics of the study populations

In the register-based study population, 23,625 (1.9%) of the mothers had a thyroid disorder. Hypothyroidism was recorded in 12,929 (1.0%) and hyperthyroidism in 9943 (0.8%) of the mothers; we were unable to classify the condition in the remaining 753 (< 0.1%) mothers with thyroid disorders. In MOBAND, 3042 (1.6%) of the mothers reported a thyroid disorder in pregnancy, of whom 2229 (73.3%) reported use of thyroid medication. More than twice as many mothers in MoBa (2.1%) than in DNBC (1.0%) reported a thyroid disorder. Mothers with thyroid disorders were more likely to be older, have diabetes, and deliver preterm than mothers without the disorder. Also, mothers with thyroid disorders were more likely to have intermediate or higher education in the register-based study population, were more likely to be unemployed or receive benefits/pension, and to consume less alcohol and smoke less in pregnancy in MOBAND (Table 1).
Table 1

Characteristics of exposed versus unexposed in the register-based and MOBAND study population, respectively. Contains data prior to multiple imputation of missing values

 

Danish register-based study population No = 1,270,079

MOBAND study population No = 192,918

Characteristics

Exposed to maternal thyroid disorder No = 23,625

Unexposed No = 1,246,454

Exposed to maternal thyroid disorder No = 3042

Unexposed No = 189,876

 

No (%)

No (%)

No (%)

No (%)

Maternal age

  ≥ 30 years

13,921 (58.9)

544,852 (43.7)

1997 (65.6)

103,084 (54.3)

 Missing

0 (−)

0 (−)

0 (−)

0 (−)

Maternal occupational statusa

 Unemployed/ receiving benefits or pension

310 (10.2)

6816 (3.6)

 Missing

50 (1.6)

2055 (1.1)

Maternal educational levelb

 Basic

4781 (20.2)

280,337 (22.5)

 Missing

694 (2.9)

93,414 (7.5)

Maternal diabetes

 Diabetes type 1 or 2

518 (2.2)

6362 (<1)

61 (2.0)

855 (<1)

 Missing

0 (−)

0 (−)

0 (−)

0 (−)

Smoking in pregnancy

  ≥ 1 cigarettes/day

293 (9.6)

23,009 (12.1)

 Missing

18 (<1)

900 (<1)

Alcohol consumption in pregnancy

  ≥ 0.5 units/week

529 (17.4)

50,510 (26.6)

 Missing

206 (6.8)

10,129 (5.3)

Child’s sex

 Male

11,690 (49.5)

606,514 (48.7)

1572 (51.7)

97,265 (51.2)

 Missing

5 (<1)

864 (<1)

0 (−)

2 (< 1)

Gestational age

  < 37 weeks (preterm)

1796 (7.6)

72,204 (5.8)

233 (7.7)

11,691 (6.2)

 Missing

0 (−)

5 (< 1)

12 (< 1)

423 (<1)

Abbreviations: MOBAND MOthers and BAbies in Norway and Denmark, No number in complete case data

aSocioeconomic measure in the MOBAND study population

bSocioeconomic measure in the register-based study population

Maternal thyroid disorder and risk of cerebral palsy

CP was diagnosed in 2798 children in the register-based study population. Bilateral spastic CP was the most common subtype with 1490 cases, while 912 children had unilateral spastic CP. Maternal thyroid disorder diagnosed or treated for the first time before pregnancy until 5 years subsequent to pregnancy was not associated with CP overall or either of the subtypes: unilateral or bilateral spastic CP (Table 2). Maternal thyroid disorder identified during pregnancy was associated with increased risk of unilateral spastic CP (adjusted OR 3.1 (95% CI: 1.2–8.4) (Table 2). Sufficient statistical power was unavailable to address the timing of identification of hypo- and hyperthyroidism separately. In the stratified analyses, estimates were similar across strata of sex and gestational ages, respectively, and no interaction was suggested (p-values for interaction > 0.2, Additional file 1: eTable 1–2), though the estimates were imprecise.
Table 2

Maternal thyroid disorder and risk of cerebral palsy

Danish register-based study population

Maternal thyroid disordera

All CP (No = 2798)

Unilateral Spastic CP (No = 912)

Bilateral Spastic CP (No = 1490)

 

No

No

ORb (95% CI)

ORc (95% CI)

No

ORb (95% CI)

ORc (95% CI)

No

ORb (95% CI)

ORc (95% CI)

No thyroid disorder

1,246,454

2748

1 (ref.)

1 (ref.)

894

1 (ref.)

1 (ref.)

1465

1 (ref.)

1 (ref.)

Thyroid disorderd

23,625

50

0.96 (0.73–1.27)

0.99 (0.74–1.31)

18

1.06 (0.67–1.69)

0.93 (0.58–1.48)

25

0.90 (0.61–1.34)

1.03 (0.69–1.53)

 Hypothyroidism

12,929

26

0.91 (0.62–1.34)

0.95 (0.64–1.39)

9

0.97 (0.50–1.87)

0.83 (0.43–1.61)

13

0.86 (0.50–1.48)

1.01 (0.58–1.74)

 Hyperthyroidism

9943

24

1.10 (0.73–1.64)

1.11 (0.94–1.66)

9

1.26 (0.65–2.43)

1.13 (0.59–2.18)

12

1.03 (0.58–1.81)

1.13 (0.64–1.99)

Identification of thyroid disorder

No

1,246,454

2748

1 (ref.)

1 (ref.)

894

1 (ref.)

1 (ref.)

1465

1 (ref.)

1 (ref.)

Before pregnancy

9622

20

0.94 (0.61–1.46)

0.97 (0.62–1.50)

7

1.01 (0.48–2.13)

0.86 (0.41–1.81)

11

0.97 (0.54–1.76)

1.13 (0.62–2.04)

In pregnancy

1551

7

2.05 (0.98–4.32)

2.00 (0.95–4.21)

4

3.60 (1.35–9.63)

3.14 (1.17–8.42)

<4f

NE

NE

≤ 5 years after pregnancy

12,452

23

0.84 (0.56–1.26)

0.87 (0.58–1.31)

7

0.78 (0.37–1.65)

0.70 (0.33–1.48)

12

0.82 (0.46–1.45)

0.94 (0.53–1.66)

MOBAND study population

Maternal thyroid disorder in pregnancy

All CP (No = 402)

 

No

No

ORb (95% CI)

ORc (95% CI)

ORe (95% CI)

 

No thyroid disorder

189,876

394

1 (ref.)

1 (Ref.)

1 (ref.)

 

Thyroid disorder

3042

8

1.27 (0.63–2.55)

1.18 (0.58–2.39)

1.17 (0.58–2.38)

 

 No medicationg

534

3

2.71 (0.87–8.46)

2.54 (0.81–7.94)

2.54 (0.81–7.93)

 

 Use of medicationg

2229

4

0.86 (0.32–2.30)

0.82 (0.30–2.19)

0.82 (0.30–2.19)

 

Multiple logistic regressions were used to calculate odds ratios (ORs) with 95% confidence intervals (95% CIs) in data with multiple imputation of missing values

Abbreviations: CP cerebral palsy, No number in complete case data, NE no estimate, MOBAND MOthers and BAbies in Norway and Denmark

aMaternal thyroid disorder identified before pregnancy until 5 years subsequent to pregnancy

bUnadjusted

cAdjusted for birth year, maternal age, maternal diabetes, and maternal socioeconomic status

dUnclassifiable thyroid disorder is included in the overall measure of thyroid disorder in addition to hypothyroidism and hyperthyroidism

eAdjusted for birth year, maternal age, maternal diabetes, maternal socioeconomic status, and smoking and alcohol consumption in pregnancy

fThe governmental organization Statistics Denmark responsible for the register-based data, do not allow data extraction of figures below four

gInformation on maternal use of thyroid medication was available for 2763 children exposed to maternal thyroid disorder in the MOBAND study, missing information has been imputed

In MOBAND, 402 children were diagnosed with CP of whom 47.8% had bilateral, and 37.1% had unilateral spastic CP. Six of the children with bilateral spastic CP were exposed to maternal thyroid disorder, while only one child with unilateral spastic CP was exposed, making it unfeasible to confirm or deny the register findings for unilateral spastic CP. The estimates for maternal thyroid disorder and CP overall did not suggest an association (adjusted OR 1.2 (95% CI: 0.6–2.4), Table 2), although an high, but imprecise estimate of risk for bilateral spastic CP (adjusted OR 1.9 (95% CI: 0.8–4.3)) was noted. A higher estimate of overall CP risk (adjusted OR 2.5 (95% CI: 0.8–7.9)) was seen in children exposed to an untreated thyroid disorder than to a treated disorder, but these estimates were also imprecise. Adjustment for maternal lifestyle factors did not alter the results (Table 2).

Assessment of bias

The proportion of positive agreement between self-reported and register-based information on maternal thyroid disorder was 60%, while the proportion of negative agreement was 99%. Estimates adjusted for systematic bias were unstable but suggested that non-differential misclassification of exposure biased towards the null (Table 3). Further, changing the categorization of maternal thyroid disorder and restricting the analyses to complete cases did not alter the results. Finally, we found an increased risk of infant death in children exposed to both maternal hypothyroidism (unadjusted OR 1.4 (95% CI: 1.1–1.9)) and hyperthyroidism (unadjusted OR 1.9 (95% CI. 1.4–2.4)).
Table 3

Assessment of misclassification of exposure to maternal thyroid disorder

Agreement between sources of maternal thyroid disorder in 90,088 danish children included in both the danish register-based study population and MOBAND study population

Register-based information a

Self-report

Unexposed

Hypothyroidism

Hyperthyroidism

Unclassifiable

Total

Unexposed

88,841

110

48

158

89,157

Hypothyroidism

164

240

17

68

489

Hyperthyroidism

213

21

147

21

402

Unclassifiable

19

14

4

3

40

Total

89,237

385

216

250

90,088

 

Observed proportionate agreement

Proportion of positive agreement

0.60

Proportion of negative agreement

0.99

Kappa

0.60, p < 0.001

Bias-adjusted estimates of thyroid disorder and risk of cerebral palsy

 

All CP

Unilateral spastic CP

Bilateral spastic CP

Bias-adjusted ORb (study error)c in register-based study population

0.89 (0.40–1.21)

1.20 (0.72–3.83)

0.77 (0.24–1.22)

Abbreviations: CP cerebral palsy, OR odds ratio

aThe exposure window of the register-based measure was changed to an identified thyroid disorder before pregnancy until week 18 of gestation in order to correspond with the measure based on maternal self-report in MOBAND

bRaw estimates adjusted for misclassification using a probabilistic approach assuming non-differential misclassification of exposure. Assumptions regarding level of sensitivity and specificity were guided by the calculated positive and negative agreement (for more details see Additional file 1: eMethod 3)

cStudy error includes both systematic error (interval encompassing 95% of the corrected estimates) and random error (95% confidence interval)

Discussion

Main findings

Results from the register part of this study show that thyroid disorder in pregnancy is not related to bilateral spastic CP, but may possibly be related to unilateral CP. Though the statistical power of MOBAND data was limited, information on lifestyle during pregnancy enabled us to perform more thorough control for potential confounders, which did not influence the results.

Potential mechanisms

We studied unilateral and bilateral spastic CP separately, because they may have distinct etiological profiles. It has been hypothesized that thyroid hormone deficiency can cause CP by altering myelination, differentiation, and migration of nerve cells [8], which would likely be reflected in bilateral damage to the brain. An increased risk of bilateral spastic CP was suggested in MOBAND data only, but the estimate was unstable, and the finding was not replicated in the larger register-based study. The most striking finding in this study, a three-fold increase in risk of unilateral CP in association with thyroid disorder identified in pregnancy, is biological plausible. Maternal thyroid disorder may affect the coagulation system and increase the risk of thrombosis (leading to ischemia) and bleeding [16, 17], and such vascular events most likely cause unilateral spastic CP [37]. In support of this line of reasoning, markers of coagulation abnormalities including Factor V Leiden mutations, which implying an increased risk of thrombosis, have been linked to spastic CP [38]; especially, the unilateral subtype, though the evidence is sparse [39].

The male excess of CP indicates perhaps a heightened vulnerability to brain injury in boys [40], and abnormal thyroid hormone levels may affect boys differently than girls [41], but we were unable to find any sex differences in the association between maternal thyroid disorder and the risk of CP. Further, we hypothesized that the risk of CP in association with maternal thyroid disorder would be elevated mainly in children born at term, as we expect prenatal factors to play a greater role in the etiology of CP in children born at term than in children born preterm [40]. The estimates were unstable after stratification by gestational age, and there was no indication of any differences in risk.

Previous findings

The syndrome of neurological cretinism provides a convincing indication of a link between maternal thyroid disturbances and CP. Children born to women with severe iodine deficiency have a substantial risk of impaired cognitive and motor function, and clinical findings and brain imaging compatible with CP has been observed in children with the neurologic form of endemic cretinism [42]. Maternal thyroid diseases have only been investigated in relation to risk of CP in few studies. Nelson et al. found in a cohort study of 45,559 children, of whom 189 had CP, an increased risk of CP in infants with a birth weight ≥ 2500 g who were born to women with hyperthyroidism and in infants exposed to maternal thyroid hormone and estrogen supplementation in pregnancy [7]. In another study of 183 children with CP and 549 controls without CP, more cases than controls were born to women who were treated with thyroid hormone; however, the difference was not statistically significant [12]. Recent register-based studies from Denmark by Andersen et al. [28, 43] have indicated that thyroid disorders identified subsequent to pregnancy, especially within 5 years after pregnancy, are correlated with increased risk of attention deficit hyperactivity disorder, autism spectrum disorder, and seizures. We found a tendency to increased risk of unilateral spastic CP in children born to women with thyroid disorders identified during pregnancy. These children will probably have been exposed to abnormal thyroid hormone levels in utero, as abnormal levels may be present for a period before the disorder is diagnosed and treated for the first time.

Strengths and limitations

The large scale register data enabled examination of different subtypes of thyroid disorder and CP, but lacked information on maternal lifestyle factors. Although the statistical power of MOBAND was limited, among prospective cohort studies, MOBAND holds by far the largest sample of CP cases with detailed information on lifestyle collected during pregnancy, which allowed us to address such potential confounders.

CP was verified by neuropediatricians based on clinical presentation when the children were five-six years old, unaware of maternal illness during pregnancy, which enhances the validity of the CP diagnoses. Likewise, measures of maternal thyroid disorder were not affected by knowledge of whether the child had CP, because of the register recording or self-reporting during pregnancy. We restricted our analyses to children surviving to age 1 year as CP cannot reliably be diagnosed before this age. We saw an increased risk of infant death in children prenatally exposed to maternal thyroid disorders. If children with brain damage compatible with CP also are more likely to die before CP can be diagnosed, this restriction might have biased our results towards the null.

We did not have information on causes of thyroid disorders, which may be important for understanding the mechanism by which unregulated thyroid disorder is associated with risk of CP. Moreover, it is possible that autoimmune conditions confound the association. Thyroid disorders in reproductive-age women are most often autoimmune in origin, and may be associated with other autoimmune manifestations [40]. Autoimmune disorders might lead to CP either because autoantibodies are themselves pathogenic, or because of the presence of inflammation in autoimmunity, which is an established risk factor for spastic CP [44]. We adjusted for maternal diabetes, but it is possible that confounding by other autoimmune diseases and other abnormalities that coexist with thyroid disorder, for which we did not have information, had occurred.

The comparison of measures of thyroid disorder from different sources revealed that some non-differential misclassification had occurred, which may have led to an underestimation of the association of thyroid disorder and CP. In the register data, we were unable to identify women who had a thyroid disorder diagnosed outside hospital settings and who did not redeem any thyroid medication before the establishment of the Danish National Prescription in 1995. Moreover, we may have categorized some women as exposed to maternal thyroid disorder in pregnancy, even though the mother may have recovered from the disease before pregnancy, e.g. postpartum thyroiditis is often transient. In MOBAND, some women may have been unaware of their diagnoses, which also may have led to misclassification. However, in the register-based study population, we used thyroid disorder diagnosed within 5 years after pregnancy as a proxy for subclinical and asymptomatic thyroid diseases in pregnancy, since recent findings from DNBC based on blood samples drawn in early pregnancy have shown that abnormal thyroid function may be present for a period before the disorder is identified and that asymptomatic thyroid diseases are common [45]. We anticipate that much initially asymptomatic thyroid disorders would have come to medical attention within 5 years, and that the milder and most subclinical forms of thyroid disorders would be less likely to have an impact on risk of CP. Moreover, as we did not have access to information on the actual thyroid hormone level, we cannot know whether women with an identified thyroid disorder actually had abnormal thyroid hormone values during pregnancy or whether the women had a hypo- or hyperthyroid condition due to overtreatment. The natural next step is to make use of maternal blood samples collected during pregnancy to study the link between maternal thyroid disorder and CP.

Conclusion

It is reassuring that maternal thyroid disorders do not seem to be related to the predominant CP subtype, bilateral spastic CP. However, our findings hint that risk of unilateral spastic CP may be higher in children of mothers with thyroid disorder identified in pregnancy, which presumably is more unregulated than disorders identified before pregnancy, since abnormal thyroid hormone levels may be present for a period before the disorder is diagnosed and treated for the first time. We cannot exclude the possibility that the observed association is due to chance or unmeasured confounding. Replication of our findings in studies that test maternal thyroid hormone level in early pregnancy is therefore needed.

Abbreviations

95% CI: 

95% confidence interval

CP: 

Cerebral palsy

DNBC: 

The Danish National Birth Cohort

MoBa: 

The Norwegian Mother and Child Cohort study

MOBAND: 

The MOthers and BAbies in Norway and Denmark

OR: 

Odds ratio

Declarations

Acknowledgements

We thank the participating families in Denmark and Norway who took part in the DNBC and MoBa. The MOBAND-CP project was initiated in 2011 by senior investigator Allen Wilcox from the National Institute of Environmental Health Sciences in the United States and has been established by him in collaboration with the University of Copenhagen, Aarhus University, the Danish Cerebral Palsy Registry, the Norwegian Institute of Public Health, the University of Bergen, and the Cerebral Palsy Registry of Norway. Data harmonization was led by Dag Moster and conducted by Ingeborg Forthun and Mette C. Tollånes at the University of Bergen, and by Katrine Strandberg-Larsen and Tanja Gram Petersen at the University of Copenhagen, under the supervision of Dr. Wilcox.We would like to express our thanks to the MOBAND scientific advisory board: Eve Blair from Telethon Kids Institute at the University of Western Australia and Karin B. Nelson from the National Institute of Neurological Disorders and Stroke at the National Institute of Health, U.S. for constructive comments to the manuscript. We would also like to express our thanks to Diana Haggerty from Department of Epidemiology and Biostatistics at Michigan State University and Steven Korzeniewski from Department of Obstetrics & Gynecology at Wayne State University School of Medicine for inputs to analyses and discussion.

Funding

This work was supported by The Faculty of Health and Medical Sciences at University of Copenhagen [grant no 620–0032/14–3000 to T.G.P]; Bevica Foundation; Ludvig and Sara Elsass Foundation [grant no. 5269 to T.G.P]. The research salary of UFR was sponsored by an unrestricted research grant from NovoNordic Foundation. Funding was provided to MOBAND-CP by the Intramural Research Program at the National Institute of Environmental Health Sciences, National Institutes of Health, the University of Copenhagen, and Norwegian Institute of Public Health. The Norwegian Mother and Child Cohort Study are supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research, NIH/NIEHS (contract no N01-ES-75558), NIH/NINDS (grant no.1 UO1 NS 047537–01 and grant no.2 UO1 NS 047537-06A1). The funding agencies had no role in the design or conduct of the study; data collection, analyses, or interpretation; preparation, review, or approval of the manuscript; or in decision about submitting the manuscript for publication.

Availability of data and materials

The datasets generated and analyzed during the current study are not publicly available because it contains personally sensitive data. Data is stored on secure servers at Statistic Denmark and University of Bergen and can be accessed by applying the appropriate Danish and Norwegian agencies and the steering committees of DNBC, MoBa, and MOBAND.

Authors’ contributions

TGP conceptualized and designed the study, carried out all analyses and takes responsibility for the integrity of the data and the accuracy of the data analyses, contributed substantially to interpretation of the work and drafted the manuscript. KS-L conceptualized and designed the study, contributed substantially to interpretation of the work, and drafted the manuscript. A-MNA, PU, NP, UF-R and MCT conceptualized and designed the study, contributed substantially to interpretation of the work, and reviewed and revised the manuscript. All authors approved the final manuscript as submitted.

Ethics approval and consent to participate

Informed consent of all participants in DNBC and MoBa was obtained. DNBC and the register-linkage were according to Danish legislation approved by the Danish Data Protection Agency. The establishment of data collection in Moba has obtained licence from the Norwegian Data Inspectorate and approval from the Regional Committee of Medical Research Ethics. All consents were written.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Section of Social Medicine, Department of Public Health, University of Copenhagen, Gothersgade 160, 1123 Copenhagen, Denmark
(2)
Pediatric Department at Rigshospitalet, Juliane Maries Vej 8, 2100 Copenhagen, Denmark
(3)
Department of Epidemiology & Biostatistics and Department of Pediatrics and Human Development, Michigan State University, 909 Fee Road, East Lansing, MI 48824, USA
(4)
Department of Medical Endocrinology at Rigshospitalet, Ole Maaloees Vej 26, 2200 Copenhagen, Denmark
(5)
Domain for Mental and Physical Health at Norwegian Institute of Public Health, Kalfarveien 31, 5020 Bergen, Norway

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Copyright

© The Author(s). 2018

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