Evidence-Based Reviews

Antidepressant use during pregnancy: How to avoid clinical and legal pitfalls

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References

Limitations of research

Because of ethical difficulties in studying MDD treatment during pregnancy, most data are retrospective and prone to detection and confounding biases, such as11-15:

  • the risks associated with depression
  • comorbid conditions such as obesity
  • maternal age
  • poor prenatal care
  • how the baby was delivered (eg, Caesarean sections have higher rates of PPHN)13
  • illicit substance use
  • effects of other medications (80% of pregnant women use medications, including nonsteroidal anti-inflammatory drugs [NSAIDs], which are associated with PPHN).11,16
No medication is 100% safe during pregnancy and all pregnancies have risks. In the United States, 2% to 3% of pregnancies produce infants with malformations,17 which makes it hard to determine if a defect is caused by a medication or occurred spontaneously. This is the baseline risk of all malformations; individual malformations are rare and it is difficult to conduct studies that have adequate power to demonstrate the risk for a specific malformation.

There are several potential adverse outcomes to consider when prescribing psychotropics to a pregnant woman, including miscarriage, malformation, preterm delivery, perinatal toxicity, and behavioral teratogenesis (Table 2).6,7 SSRIs have been implicated in adverse outcomes, but there is no strong evidence that they increase the miscarriage rate, and several studies found no increase in birth defects.6,13,18-20 Regarding teratogenesis, the FDA switched paroxetine from class C to class D because of a potential 1.5% to 2% risk of fetal cardiac malformation, compared with a 1% baseline rate in the general population.21 Drug toxicity or withdrawal in a neonate also is a risk; however, this condition is self-limited and managed supportively by neonatology.22 Behavioral teratogenesis—neurobehavioral problems that develop later in a child’s life—remains a hypothetical concern; research has been conflicting, and studies often used flawed methodology.

Evidence linking SSRIs to an increased risk of adverse birth outcomes often has been based on large, retrospective health system database cohort studies looking at SSRI exposure and associations with conditions such as PPHN, cardiac anomalies, attention-deficit/hyperactivity disorder, and autism.10,23,24 However, correlation is not the same as causation. It is difficult to prove or disprove the causative factor of adverse outcomes in these studies because:
  • these databases were not designed to answer these types of exposure questions (eg, limitations in data collected, such as other potential causes not recorded)
  • they have many confounding biases (undocumented illicit substance use, possible minimization of smoking history, publication basis for positive findings, etc.)
  • individuals who provided the data did not follow a standardized method (eg, variability among individual clinicians).
Many of these limitations are evident in a 2009 study by Pedersen et al,23 who reported the prevalence of septal heart defects was 0.5% (2,315/493,113) among unexposed children and 0.9% (12/1,370) among children exposed to 1 SSRI during early pregnancy (odds ratio [OR]=1.99 [1.13 to 3.53]). Based on this study’s data, the number needed to harm—the number of patients you would need to treat to encounter 1 adverse outcome—was 246, which suggests a relatively low risk. When data for the entire study is reviewed, the ORs for either minor birth defects (control: 7,373/493,113 vs SSRI exposed: 39/1,370; OR=0.88 [0.54 to 1.41]) or major birth defects (control: 15,518/493,113 vs SSRI exposed: 55/1,370; OR 1.21 [0.91 to 1.62]) were not statistically significant (major and minor malformations were defined using European Surveillance of Congenital Anomalies coding).

Not to case aspersions on this group’s work, it should be noted that this study had limitations, including that the researchers:

  • did not take into account SSRI dosage
  • did not measure depression severity or remittance
  • were not able to fully account for potential exposures (eg, over-the-counter NSAIDs)
  • were unable to confirm that patients took their medications because the variable measured was prescriptions filled
  • did not interview participants about their medication use or symptoms.
In addition, researchers noted that mothers who filled their antidepressant prescription at least twice also were likely to have other factors that put them at higher risk for having a child with birth defects—such as older age or smoking. The biggest problem with the study was a lack of a control group, such as depressed women who did not receive medication (eg, the risk of depression itself could explain the rise, or those with more severe depression could be prescribed antidepressants).15

In a more recent study,24 33 of 11,014 infants exposed to SSRIs after gestational week 20 developed PPHN (absolute risk: 3 per 1,000 births, compared with an incidence of 1.2 per 1,000 births in the general population), with an adjusted OR of 2.1 (95% CI 1.5 to 3.0). Although the authors warned that the results suggest a “class effect,” the rate of PPHN also was higher for mothers with a history of a psychiatric hospitalization within the last 10 years who were not taking medication (OR=1.3, 95% CI 1.0 to 1.6) and the OR for escitalopram (1.5, CI 0.2 to 10.5) was not statistically significant. This study did include a control group, but the 10-year window may have been too wide to represent a group with similar comorbid risks. Similar to the previously discussed study, mothers prescribed SSRIs were older, 1.7 times more likely to be smokers, and twice as likely to be prescribed NSAIDs. The study did not analyze the risk factors of smoking and body mass index because of an initial subset analysis (which was not reported) finding that these known risk factors for PPHN “did not confound the results.”24

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