Literature DB >> 33655866

Selective Serotonin Reuptake Inhibitors (SSRIs) and Serotonin Norepinephrine Reuptake Inhibitors (SNRIs) During Pregnancy and the Risk for Autism spectrum disorder (ASD) and Attention deficit hyperactivity disorder (ADHD) in the Offspring: A True Effect or a Bias? A Systematic Review & Meta-Analysis.

Regina Leshem1, Benjamin Bar-Oz2, Orna Diav-Citrin1, Siham Gbaly1, Jessica Soliman1, Christel Renoux3, Ilan Matok1.   

Abstract

BACKGROUND AND
OBJECTIVE: An inconsistent association between exposure to SSRIs and SNRIs and the risk for ASD and ADHD in the Offspring was observed in observational studies. Some suggest that the reported association might be due to unmeasured confounding. We aimed to study this association and to look for sources of bias by performing a systematic review and meta-analysis.
METHODS: Medline, Embase, and the Cochrane Library were searched up to June 2019 for studies reporting on ASD and ADHD in the Offspring following exposure during pregnancy. We followed the PRISMA 2009 guidelines for data selection and extraction. Outcomes were pooled using random- effects models and odds ratios (OR), and 95% confidence intervals (CI) were calculated for each outcome using the adjusted point estimate of each study.
RESULTS: Eighteen studies were included in the meta-analysis. We found an association between SSRIs/ SNRIs prenatal use and the risk for ASD and ADHD (OR=1.42, 95% CI: 1.23-1.65, I2=58%; OR=1.26, 95% CI: 1.07-1.49, I2=48%, respectively). Similar findings were obtained in women who were exposed to SSRIs/SNRIs before pregnancy, representing statistically significant association with ASD (OR=1.39, 95% CI: 1.24-1.56, I2=33%) and ADHD (OR=1.63, 95% CI: 1.50-1.78, I2=0%) in the Offspring, although they were not exposed to those medications in utero.
CONCLUSIONS: Although we found an association between exposure to SSRIs/SNRIs during pregnancy and the risk for ASD and ADHD, an association with those disorders was also present for exposure pre-pregnancy, suggesting that the association might be due to unmeasured confounding. We are aiming to further assess the role of potential unmeasured confounding in the estimation of the association and perform a network meta-analysis. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  ADHD; ASD; SNRI's; SSRI's; antidepressants; pregnancy.; prenatal exposure

Mesh:

Substances:

Year:  2021        PMID: 33655866      PMCID: PMC8686301          DOI: 10.2174/1570159X19666210303121059

Source DB:  PubMed          Journal:  Curr Neuropharmacol        ISSN: 1570-159X            Impact factor:   7.363


INTRODUCTION

ASD (Autism spectrum disorder) and ADHD (Attention-deficit hyperactivity disorder) are rapidly increasing over the past decade [1, 2]. ASD has an estimated worldwide prevalence of about 1.5%, ADHD has a worldwide combined prevalence of about 5.3% in childhood [3]. Many risk factors might cause neurodevelopmental abnormalities. These risk factors include maternal age, parity, gestational age at birth, maternal smoking status, medications or drug abuse during pregnancy, psychiatric and mental disorders, as well as other maternal and paternal medical conditions and comorbidities. The effects of maternal antidepressant therapy on cognitive and behavioral development in childhood were studies as well [4-8]. Recent studies reported an association between exposure to SSRIs and SNRIs during pregnancy and ASD and ADHD in Offspring [1, 9-13]. However, other studies did not find these associations [2, 14-24]. Selective serotonin reuptake inhibitors (SSRIs) (fluoxetine, paroxetine, sertraline, citalopram, escitalopram, fluvoxamine), and serotonin-norepinephrine reuptake inhibitors (SNRI's) (venlafaxine) are increasingly used since 1990 for the treatment of depression and anxiety disorders. They are considered the preferred first-line treatment during pregnancy [25]. It has been suggested that 7-13% of women are exposed to antidepressant therapy (SSRI's and SNRI's), at any trimester of pregnancy [4]. However, SSRIs and SNRIs are known to cross the placenta, and it is estimated that fetal exposure for fluoxetine, citalopram, escitalopram, and sertraline are 65%, 70%, 50%, and 30%, respectively [5]. The use of SSRIs/SNRIs during pregnancy was reported to be associated with adverse pregnancy outcomes, including birth defects such as cardiac malformations (although controversial), neonatal adaptation syndrome, and increased rate of persistent pulmonary hypertension of the newborn. Despite the possible risk for the fetus, discontinuation of antidepressants during pregnancy can increase the risk of relapse, and maternal depression during pregnancy is associated with health complications for both the mother and infant, such as premature delivery and decreased breastfeeding initiation [26, 27]. As with any drug treatment in pregnancy, the benefits to the mother should be considered versus the possible hazards to the developing embryo/fetus [7]. Presently, there is inadequate evidence for an association between antidepressant therapy in pregnancy and those neurodevelopmental disorders in the Offspring, especially when controlling possible confounding factors. One of the possible explanations for the differences in the results of the studies may lie in genetic and epigenetic differences among the populations. SSRI's may have epigenetic effects, and epigenetic changes are known to be associated with neurodevelopmental disorders [7]. Due to the conflicting and an uncertain data, regarding the association between prenatal exposure to SSRIs/SNRIs, and ADHD or ASD in offspring [7], we aimed to perform a systematic review and meta-analysis to study the association between exposure to SSRIs/SNRI's during pregnancy and the risk for ASD and ADHD in the Offspring.

MATERIAL AND METHODS

Data Sources

This systematic review followed the Meta-analysis for Observational Studies in Epidemiology (MOOSE) checklist and the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) 2009 guidelines (Appendixes A and B) [28]. MEDLINE, Embase, and Cochrane databases were searched up to June 2019 to identify all published cohort and case-control studies, assessing the association between exposure to SSRIs or SNRIs during pregnancy and ASD or ADHD. The following keywords, in different combinations and Medical Subject Heading terms were used to identify relevant studies: “pregnancy”, “pregnant”, ” prenatal”, “female”, ” fetus”, “offspring”, “newborn”, “embryos”, “infant”, ” neonatal”, ” selective serotonin reuptake inhibitors”, “SSRI”, “selective norepinephrine reuptake inhibitors”, “SNRI”, ” antidepressant”, “fluoxetine”, “sertraline”, “paroxetine”, “citalopram”, “escitalopram”, “fluvoxamine”, “venlafaxine”, “autism”, “ASD”, “autistic spectrum disorder”, “ADHD”, “attention-deficit hyperactivity disorder “, “neurodevelopment”, “risk”, “outcome”. In addition, we searched and evaluated published systematic reviews, online resources, and conference abstracts, to ensure the identification of all studies. No language or date restrictions were applied. The review protocol was registered at the PROSPERO registry: CRD42019138483. Retrospective cohort studies and case-control studies reporting the risk for ASD or ADHD in the Offspring of women exposed to selective SSRI's or SNRI's during pregnancy, were extracted. Two independent researchers identified relevant data (Siham Nashef and Jessica Sliman). Random-effects meta-analysis was used to pool results. Odds ratios were calculated with subsequent 95% confidence intervals (CI). Network meta-analysis was conducted, incorporating direct and indirect comparisons among different selective serotonin reuptake inhibitors. The primary outcome was the risk for ASD or/and ADHD of the Offspring after maternal exposure to SSRI's or SNRI's during pregnancy.

Selection Criteria

The following screening criteria were applied to assess eligibility: manuscripts and abstracts of cohort or case-control studies reporting the risk for ASD/ADHD in Offspring of women exposed to SSRIs or SNRIs during pregnancy, using risk ratio (RR), incidence rate ratio, or odds ratio (OR). Outcomes reported by the same cohort in different publications were included only once in each analysis (most recent publication). We excluded cross-sectional studies, case reports and case series, guidelines, expert opinion, editorials, letters to the editor, and comments.

Data Extraction

Data were identified by 2 investigators (Siham Nashef and Jessica Sliman). Titles and abstracts were independently screened by the 2 investigators. Disagreements were resolved by consensus or referral to a third investigator. Full text was retrieved by the 2 investigators. The primary outcome of this analysis was ASD and/or ADHD. Network meta-analysis was conducted to compare the risk of ASD or ADHD with the different SSRIs.

Quality Assessment

Risk of bias and quality were assessed using the Newcastle-Ottawa scale (NOS) for assessing quality of nonrandomized studies [29]. The scale is based on 8 criteria and provides a star rating score ranging from 0 (high risk for bias) to 9 (low risk for bias). Summary assessments of risk of bias were derived for each study. Assessments were carried out independently by 2 investigators (Siham Nashef and Jessica Sliman).

Publication Bias

Publication bias was assessed by visual inspection of the funnel plot and Egger test [30]. The nonparametric trim-and-fill technique was used to identify and correct funnel plot asymmetry if found. We used CMA Software Version 3.3.070 [31] and R Version 3.4.3 and the “metafor” package Version 1.9-9 [32], respectively [33].

Data Synthesis and Statistical Analysis

To estimate ASD and ADHD risk, we used CMA Software, applying random-effects meta-analysis (Mantel Haenszel) for the results [31]. We used a random-effects model, because the effect size varies across the studies due to a real difference in the exposure effect and sampling variability [34, 35]. Pooled adjusted ORs and 95% confidence intervals (CIs) for ASD and ADHD were collected from the data in relevant studies, including in the meta-analysis. Since both our outcomes are relatively rare, we assumed that RRs and ORs are expected to be equal. I2 statistic was used to assess the heterogeneity, while the low, medium, and high heterogeneity expressed by I2 values of 25%, 50%, and 75%, respectively [36]. We defined a 2-sided α of < 0.05 for statistical significance, and confidence intervals (CIs) that did not include OR value of “1” considered clinically significant.

Network Meta-analysis

To investigate the differences in the risk for ASD or ADHD between various SSRI's agents, we performed a pairwise network meta-analysis, using random effects. Agents compared included sertraline, citalopram, fluoxetine, fluvoxamine, paroxetine and venlafaxine, and the network incorporated data on results relative to no treatment and head-to-head comparisons. ORs and 95% CIs were modeled with the pairwise method. The risk of ASD or ADHD was ranked using P scores derived from network point estimates and SE. The P score is a frequentist equivalent to the Bayesian network surface under the cumulative ranking curve. The P score of treatment can be interpreted as the mean extent of certainty that the treatment is better than another treatment, and can be used to rank a treatment within a range of treatments, measured on a scale from 0 (worst) to 1 (best) [37]. Analysis was performed using R Version 3.4.3 and the “netmeta” package Version 0.9-8 [38].

RESULTS

Search Process

The systematic search yielded 930 citations. Preliminary screening excluded 164 duplicate citations. The 766 remaining titles were reviewed by abstract. A total of 743 citations were excluded according to inclusion criteria, leaving 23 records for full-text review. Full review excluded 5 additional citations (1 - conference Abstract, 1 - an article on males, 1 - short review and 2 linear regression), leaving 18 records for analysis. The search flow process is illustrated in Fig. ().

Study Characteristics

Eighteen studies were included in the meta-analysis. Study characteristics are summarized in Tables (a, b) and . Of which, six studies were case-control studies [1, 9-11, 16, 21] and twelve studies were historical cohorts [2, 12-15, 17-20, 22-24]. In total, 133,799 women and their offspring were exposed to SSRIs or SNRIs during pregnancy; ASD was detected among 1373 exposed offspring (rate of 10.3/1000 live births) and ADHD among 1240 (rate of 9.3/1000 live births). Baseline characteristics of mothers and their Offspring were used to adjust for potential confounders in the studies included in our meta-analysis. Eight studies in our meta-analysis [ 9, 15, 17-19, 21-23] performed an additional analysis. The risk for ASD and ADHD was compared between two siblings, one exposed to SSRIs/SNRIs during pregnancy while the other was not. Furthermore, four studies [2, 14, 20, 21] adjusted for an ASD/ADHD diagnosis in either the mother and or the father. The remaining seven studies included in the meta-analysis did not refer to the family history of ASD/ADHD. Assessment of exposure during pregnancy was carried out by interviews in 1 study [11], by prescription dispensing and database linkage in 13 studies [1, 2, 9, 10, 13-17, 20-24] or by both these sources in 3 studies [12, 18, 19]. Seventeen studies [1, 2, 9-18, 20-24] reported on SSRI or SNRI exposure during all pregnancy (some of them were separated into three different trimesters), and 1 study reported on exposure during only the first trimester [19]. Fourteen studies reached a NOS score of 7 [1, 2, 9, 12-16, 18, 20-24] and 4 studies reached NOS scores of 6 [10, 11, 17, 19]. Quality assessment scores and adjustments made for potential confounders in each study are detailed in Supplementary Tables 1 and 2.

Meta-analysis

Most studies evaluated maternal exposure to antidepressant therapy during all pregnancy, except for two works [11, 19] that assessed only the first trimester. Some of the articles [1, 9, 13-16, 18, 19, 21, 23] also examined the association between pre-conception maternal exposure and the primary outcomes. Nine cohort, four case-control and two nested case-control studies evaluated the risk for ASD. Five cohort and one case-control studies evaluated the risk for ADHD. Using random-effects model, SSRI or SNRI exposure during pregnancy (any trimester) was significantly associated with an increased risk for ASD, with moderate heterogeneity (OR, 1.26; 95% CI, 1.07-1.49; I2= 48%). (Fig. ) However, when pre-pregnancy exposure to SSRI or SNRI, was studied, we found a statistically significant association with ASD, with a similar point estimate of the relative risk (OR, 1.39; 95% CI, 1.24-1.56; I2= 33%). (Supplementary Fig. 1). Similar findings were obtained with ADHD, revealing slightly increased risk in a prenatal maternal exposure group (OR, 1.26; 95% CI, 1.07-1.49; I2= 48%) (Fig. ). Exposure to SSRIs/SNRIs before pregnancy is associated with elevated risk for ADHD as well (OR, 1.63; 95% CI, 1.50-1.78; I2= 0%) (Supplementary Fig. ). In a network meta-analysis, the risk of ASD was compared between specific SSRI agents. Based on the results of this network, Venlafaxine was found to have the highest P score, indicating the lowest probability for ASD (P score = .65); while Fluvoxamine was associated with a higher risk of ASD (P score = .17). (Table ) Nevertheless, no statistically significant difference in ASD risk was found among any of the comparison pairs of the SSRI agents (Fig. ). In addition, that was no correlation between the placental transfer rate of a SSRI-specific agent and its risk for that adverse event, as was demonstrated in previous works [4, 5].

Sensitivity Analysis

An analysis restricted to fully published studies reaching a NOS score of 7, the association with ASD remained significant, with a similar point estimate (OR, 1.43; 95% CI, 1.25-1.64; I2=38%) and ADHD (OR, 1.34; 95% CI, 1.15-1.55; I2=23%) (Supplementary Fig. & 4, respectively). Publication bias was calculated for ASD analysis, including all 14 studies. Visual inspection of the funnel plot (Fig. ) shows slight asymmetry. When applying the trim-and-fill technique, no studies were missing in the plot. Egger test was not statistically significant (P = .37). Therefore, we conclude no publication bias was detected in our analysis.

DISCUSSION

Our results suggest that the association between exposure to SSRIs/SNRIs during pregnancy and ASD/ADHD may be due to residual confounding, mainly confounding by indication. We showed that this association is statistically significant even in mothers who were exposed to SSRIs/SNRIs before pregnancy, and the Offspring were not exposed to SSRIs/SNRIs, hence suggesting confounding by indication. These drugs are indicated for the treatment of depression and/or anxiety. Maternal depression and stress are associated with birth and neurodevelopmental problems, suggesting that antidepressant associations could be attributable to confounding by indication for such treatment. Physiologic changes related to a mother’s stress or depression during pregnancy. A recently reported experimental model demonstrates that the combined effect of maternal serotonin transporter genotype and prenatal stress may contribute to autistic-like behaviors in Offspring. Whether the combined effects of prenatal SSRI exposure and prenatal stress are etiologically related to ASD in humans remains to be elucidated [9, 19]. Furthermore, the etiology of autism spectrum disorder and attention-deficit/hyperactivity disorder involves genetic, epigenetic and environmental factors. Heritability of ASD is estimated to be ~80% [40]. ADHD has an underlying genetic component, with heritability estimated at ~76% [41, 42]. The sex of the Offspring is a well-documented risk factor for ASD and ADHD, providing further confidence in the data quality. For example, boys were more likely to have a diagnosis of ASD than girls, with a ratio about 4:1. Although not all studies indicated the exact sex distribution in research groups, all of their models performed sex adjustment. That data is summarized in supplementary Table . Heritability is known to be a strong risk factor for ASD/ADHD. Thus, the increase in ASD/ADHD in Offspring of women with depression and other mental diseases may reflect genetic predisposition. Examining any mental illness diagnosis in the parents’ lifetime allowed detailed adjustment for confounding due to, ., genetic liability. Sibling study designs offer a way to control for genetics as well as other unmeasured time-invariant factors. Sorensen [ 15 ] reported that, among 2,765 families in which at least one child had ASD, the risk of ASD in children exposed to antidepressants for any indication during pregnancy was 1.1 (95% CI 0.5–2.3) compared to their unexposed siblings. In their sibling comparison, Sujan [ 19 ] reported that the risk of ASD in children exposed to antidepressants in the first trimester was 0.83 (95% CI 0.62–1.13 (compared to unexposed siblings. Brown [ 17 ] estimated that the risk of ASD in children exposed to two or more antidepressant prescriptions was 1.60 (95% CI 0.69–3.74) compared to unexposed siblings. Wilcox-Hagberg [ 21 ] sibling analysis based on 136 discordant sibling pairs reported that the risk of having a child with ASD among women with untreated depression (RR =1.18, 95% CI 0.64–2.20) was similar to that of the Sorensen [ 15 ] study. However, the magnitude of the effect was slightly higher among women with treated depression (RR =1.53, 95% CI 0.89,(2.62- an estimate similar to that of the Brown [ 17 ] study. These sibling analyses suggest that after controlling for genetics and time-invariant confounders, prenatal SSRIs/SNRIs use does not significantly increase the risk of ASD in Offspring. However, there may remain a difference in risk by the severity of depression during pregnancy. In addition, the observed association between prenatal use of SSRIs and risk of ASD or ADHD in Offspring can be partially explained by confounding by indication, because the results from sibling-matched analyses in some studies including in our meta-analysis do not support an increased risk of those disorders in discordant exposed siblings [15, 43]. This highlights the potential effect of confounding by indication of SSRIs and the importance of being able to adequately take this confounding into account in the study's designs. Although all studies in our meta-analysis performed variable statistical models for estimation of adjusted odds ratio, but as with all observational studies, the possible presence of residual and unmeasured confounding or ascertainment bias with respect to exposure and outcome adds to the imprecision of our estimates. Thus, the interpretation of our results should take this factor into account. The serotonin transporter, which is blocked by SSRIs, is expressed transiently in many brain areas during fetal life and serotonin plays a key role in neural development and maturation [23]. Hyperserotonemia is found in approximately one-third of children with autism. Altered serotonin levels during early development are speculated to lead to abnormal brain circuitry and autism symptoms. SSRIs, which increase extracellular serotonin, given the central role of serotonin in brain development through maternal-fetal and placental interactions [16]. The results of this meta-analysis were consistent with numerous observational studies that have demonstrated associations between prenatal antidepressant exposure and neurodevelopmental problems [1, 9-13]. Some published observational studies prompted concerns that the prenatal antidepressant exposure is associated with birth and neurodevelopmental problems, including shorter gestation and reduced fetal growth [39], autism spectrum disorder and attention-deficit/hyperactivity disorder [9, 12, 16, 43]. However, other publications didn't support this finding, particularly after fully adjusted analysis, taking into the account main confounders, such as maternal psychiatric disorders and their severity, mother's age and sibling diagnosed with these disorders [1, 15, 18, 20, 24]. The fetal cord blood and maternal plasma concentrations (C/M) distribution ration depends on the pharmacological properties of each antidepressant drug. In addition, genetic polymorphisms for CYPs may contribute to inter-individual variability of placenta transition within each SSRI [4]. The distribution of the SSRIs (citalopram, escitalopram, fluoxetine and fluvoxamine) and their metabolites across the placenta are generally high with median C/M values ranging from 0.7–0.86. However, the median C/M for sertraline, and for paroxetine is lower (0.36 and 0.15, respectively). Venlafaxine has a median C/M values of 0.72 [44, 45]. Tricyclic antidepressants (TCAs) and their metabolites cross readily into umbilical cord serum, but SSRIs have higher umbilical cord transfer rates than TCAs [46]. According to published observational studies, maternal TCAs use didn't increase the risk for ASD or ADHD in Offspring [2, 9, 11, 15, 23, 46]. In a network meta-analysis comparing the individual SSRI, no correlation between the specific SSRIs/SNRIs permeability through the placenta and the risk for ASD, thus corroborating our conclusion that the association we saw between these medications with ASD is not causal, but because a confounding by indication is present. Venlafaxine that has a higher placenta transfer, demonstrated the lowest risk for ASD in our founding. Nonetheless, no statistically significant difference in ASD risk was found among any of comparison pairs of the SSRI agents.

STRENGHTS AND WEAKNESSES

Strengths of our analysis include a thorough and systematic review of all available published studies, just cohort or case-control study design. We used a random-effects meta-analysis to overcome the heterogeneity in our analysis. We looked into pre-pregnancy exposure where the Offspring was not exposed to SSRIs/SNRIs, and we showed a similar pooled effect size as exposure during pregnancy, suggesting that the effect may be due to unmeasured variables, mainly confounding by indication. We conducted the network-meta analysis to explore the differences in the risk for ASD among specific SSRIs, and we found variable probability for that disorder among them, but the difference was not statistically significant. Finally, we conducted sensitivity analysis to assess the risk for ASD and ADHD in the preconception period, revealing the potential effect of confounding by indication of the SSRIS's and SNRI's treatment. We used the adjusted effect size from the studies included in the meta-analysis, thus lowering the risk for bias. Limitations of our study include, firstly, the methodology of the studies included in the analysis is susceptible to recall and exposure bias. Another limitation is that meta-analysis does not enable adjustment to covariates, however, we used adjusted effect sizes meta-analysis. Data on medication exposure were collected by interviews or follow-up on prescription dispensing and databases linking. Mothers of infants with an ASD and ADHD diagnosis are more likely to remember and to associate between exposure to medications during pregnancy and offspring morbidity. Additionally, prescription dispensing does not necessarily indicate intrauterine exposure to SSRIs, which may contribute to the bias. Secondly, study-level meta-analysis does not allow for adjustment for all covariates that may affect the risk for ASD or ADHD. Moreover, some studies did not fully adjust the Odds ratio to SSRI's and SNRI's group, but only for all antidepressants medications. Furthermore, residual confounding by indication for SSRI use remains possible because we were unable to assess the severity of mental health symptoms. Unfortunately, no studies in our meta-analysis evaluated the possibility of dose-response of SSRIs and SNRIs. However, dosage may not correlate well with circulating SSRI levels, given differences in metabolism arising from, for example, metabolic gene polymorphisms. Moreover, the usually effective minimum dose of each SSRI produces comparable effects on the degree of serotonin reuptake inhibition, a surrogate for efficacy. Lastly, it is important to keep in mind the exploratory nature of network meta-analysis, which includes indirect comparisons of results obtained in different studies. In addition, the number of exposed children in each SSRIs group was small, and therefore, our analysis may not be robust enough.

CONCLUSION

Although we found an association between exposure to SSRIs/SNRIs during pregnancy and the risk for ASD and ADHD, an association with these neurodevelopment disorders was also present for exposure pre-pregnancy, suggesting that the associations might be due to unmeasured confounding. Moreover, the heterogeneity was high for the calculated pooled OR.
Table 1a

Characteristics of studies on ASD included in analysis.

Study, Year No. of Cases of ASD Exposure Assessment Exposure Timing and Type
Croen et al, [9] 2011 Exposed: 15/49Not exposed: 283/1756 Prescription dispensingAll trimesters: SSRI's, SNRI's
Hviid et al, [14] 2013 Exposed: 52/6068Not exposed: 3752/620807DBLAll trimesters: citalopram, fluoxetine, sertraline, escitalopram, fluvoxamine.
Rai et al, [11] 2013 Exposed: 14/85Not exposed: 1665/18439DBL and maternal reports. SSRI's and Non-SSRI's (monoamine reuptake inhibitors)
Sorensen et al, [15] 2013 Exposed: 104/8833Not exposed: 5333/646782Prescription dispensingAll trimesters: SSRI's, SNRI's and TCAs.
Gidaya et al, [10] 2014 Exposed: 76/441Not exposed: 5139/56924DBL All trimesters: fluoxetine, citalopram sertraline, fluvoxamine, paroxetine, escitalopram.
Harrington et al, [16] 2014 Exposed: 29/40Not exposed: 463/772Telephone interviews and DBL (when available).All trimesters: fluoxetine, sertraline, paroxetine, citalopram, escitalopram.
Clements et al, [1] 2015 Exposed: 40/121Not exposed: 1337/5278Prescription dispensingAll trimesters: Serotonergic and non-SSRI's antidepressants.
Boukhris et al, [12] 2016 Exposed: 46/4724Not exposed: 1008/140732DBL and maternal reports. All trimesters: SSRI's, SNRI's, TCAs, MAOIs and other.
Malm et al, [13] 2016 Exposed: 88/15729Not exposed: 100/31394Prescription dispensingAll trimesters: fluoxetine, citalopram, paroxetine, sertraline, fluvoxamine, escitalopram.
Brown et al, [17] 2017 Exposed: 58/2837Not exposed: 335/33069DBL and prescription dispensing.First to third trimester: SSRI's or SNRI's.
Rai et al, [18] 2017 Exposed: 136/3342Not exposed: 353/12352DBL and maternal reports. All trimesters: SSRI's and others.
Sujan et al, [19] 2017 Exposed: 299/22544Not exposed: 14318/1558085DBL and maternal reports. First trimester: Any antidepressant
Viktorin et al, [20] 2017 Exposed: 85/3982Not exposed: 1524/172646DBLAll trimesters: SSRI's, SNRI's and others.
Wilcox-Hagberg et al, [21] 2017 Exposed: 324/20355Unexposed: 1696/168797DBLAll trimesters: SSRI's, SNRI's, TCA's and others.
Yamamoto-Sasaki et al, [22] 2019 Exposed: 7/195Not exposed: 423/26730DBLAll trimesters: SSRI's, SNRI's and others.
Table 1b

Characteristics of studies on ADHD included in analysis.

Study, Year No. of Cases of ADHD Exposure Assessment Exposure Timing and Type
Laugesen et al, [23] 2013 Exposed: 79/348Not exposed: 270/519DBLAll trimesters: SSRI's, SNRI's, TCAs and others.
Clements et al, [1] 2015 Exposed: 63/131Not exposed: 2180/7743Prescription dispensing All trimesters: Serotonergic and non-SSRI's antidepressants.
Malm et al, [13] 2016 Exposed: 160/15729Not exposed: 124/31394Prescription dispensingAll trimesters: fluoxetine, citalopram, paroxetine, sertraline, fluvoxamine, escitalopram.
Boukhris et al, [2] 2017 Exposed: 267/4678Not exposed: 4297/139728DBL and prescription dispensing.Second and third trimester:SSRIs, SNRIs, MAOIs, TCAs other antidepressants.
Man et al, [24] 2017 Exposed: 58/1024Not exposed: 5564/189002DBL and prescription dispensing.All trimesters: SSRI's and Non-SSRI's.
Sujan et al, [19] 2017 Exposed: 613/22544Not exposed: 32311/1558085DBL and maternal reports.First trimester: Any antidepressant.
Study, Year Study Site Study Type Years (Duration)
Croen et al, [9] 2011 Northern California Case-control 1999-1995
Hviid et al, [14] 2013 Denmark Cohort2005-1996
Laugesen et al, [23] 2013 Denmark Cohort2009-1996
Rai et al, [11] 2013 Sweden Nested Case-control2001-2007
Sorensen et al, [15] 2013 Denmark Cohort 2006-1996
Gidaya et al, [10] 2014 Denmark Case-control1997-2006
Harrington et al, [16] 2014 CaliforniaCase-control 2013-2010
Clements et al, [1] 2015 ---Case-control 2010-1997
Boukhris et al, [12] 2016 QuebecCohort2009-1998
Malm et al, [13] 2016 FinlandCohort1996-2010
Boukhris et al, [2] 2017 CanadaCohort1998-2009
Brown et al, [17] 2017 CanadaCohort2002-2010
Man et al, [22] 2017Hong KongCohort2001-2009
Rai et al, [18] 2017 SwedenCohort2001-2011
Sujan et al, [19] 2017 SwedenCohort1996-2012
Viktorin et al, [20] 2017 SwedenCohort2014-2006
Wilcox-Hagberg et al, [21] 2017 UKNested Case-control1989-2011
Yamamoto-Sasaki et al, [24] 2019 Japan Cohort2005-2014
Table 3

Treatment ranks for selective serotonin reuptake inhibitors safety (P scores) and probability for ASD in offspring.

MedicationP score
Venlafaxine0.65
Sertraline0.50
Citalopram0.50
Sertraline0.46
Fluoxetine0.37
Paroxetine0.32
Fluvoxamine0.17
  41 in total

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8.  Antidepressant Use During Pregnancy and the Risk of Autism Spectrum Disorder in Children.

Authors:  Takoua Boukhris; Odile Sheehy; Laurent Mottron; Anick Bérard
Journal:  JAMA Pediatr       Date:  2016-02       Impact factor: 16.193

9.  In utero exposure to antidepressant drugs and risk of attention deficit hyperactivity disorder: a nationwide Danish cohort study.

Authors:  Kristina Laugesen; Morten Smærup Olsen; Ane Birgitte Telén Andersen; Trine Frøslev; Henrik Toft Sørensen
Journal:  BMJ Open       Date:  2013-09-20       Impact factor: 2.692

10.  Prevalence of autism traits and attention-deficit hyperactivity disorder symptoms in a clinical sample of children and adolescents with chronic pain.

Authors:  Camilla Wiwe Lipsker; Sven Bölte; Tatja Hirvikoski; Mats Lekander; Linda Holmström; Rikard K Wicksell
Journal:  J Pain Res       Date:  2018-11-08       Impact factor: 3.133

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  5 in total

1.  Comparing the clinical efficacy of COVID-19 vaccines: a systematic review and network meta-analysis.

Authors:  Victoria Rotshild; Bruria Hirsh-Raccah; Ian Miskin; Mordechai Muszkat; Ilan Matok
Journal:  Sci Rep       Date:  2021-11-23       Impact factor: 4.379

Review 2.  Symptomatic, Genetic, and Mechanistic Overlaps between Autism and Alzheimer's Disease.

Authors:  Muhammad Shahid Nadeem; Salman Hosawi; Sultan Alshehri; Mohammed M Ghoneim; Syed Sarim Imam; Bibi Nazia Murtaza; Imran Kazmi
Journal:  Biomolecules       Date:  2021-11-04

Review 3.  Oxytocin and serotonin in the modulation of neural function: Neurobiological underpinnings of autism-related behavior.

Authors:  Feng Zhao; Hao Zhang; Peng Wang; Wenjie Cui; Kaiyong Xu; Dan Chen; Minghui Hu; Zifa Li; Xiwen Geng; Sheng Wei
Journal:  Front Neurosci       Date:  2022-07-22       Impact factor: 5.152

Review 4.  Role of Serotoninergic Antidepressants in the Development of Autism Spectrum Disorders: A Systematic Review.

Authors:  Sheena Mathew; Sumahitha Bichenapally; Vahe Khachatryan; Asmaa Muazzam; Chandani Hamal; Lakshmi Sai Deepak Reddy Velugoti; Godfrey Tabowei; Greeshma N Gaddipati; Maria Mukhtar; Mohammed J Alzubaidee; Raga Sruthi Dwarampudi; Michael Alfonso
Journal:  Cureus       Date:  2022-08-28

5.  Embryonic Exposure to Tryptophan Yields Bullying Victimization via Reprogramming the Microbiota-Gut-Brain Axis in a Chicken Model.

Authors:  Xiaohong Huang; Jiaying Hu; Haining Peng; Heng-Wei Cheng
Journal:  Nutrients       Date:  2022-02-04       Impact factor: 5.717

  5 in total

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