Antidepressant Use and Risk for Preeclampsia

Palmsten, Kristina; Huybrechts, Krista F.b; Michels, Karin B.a,c,d; Williams, Paige L.e; Mogun, Helenb; Setoguchi, Sokoa,f; Hernández-Díaz, Soniaa

doi: 10.1097/EDE.0b013e31829e0aaa

Background: Prior studies suggest that women who use antidepressants during pregnancy have an increased risk for preeclampsia, yet the comparative safety of specific antidepressants remains unclear. US nationwide Medicaid Analytic eXtract (MAX) data have not been used to study medication safety during pregnancy.

Methods: We identified 100,942 pregnant women with depression from 2000 to 2007 MAX data. We used pharmacy dispensing records to ascertain exposure to selective serotonin reuptake inhibitor (SSRI), serotonin–norepenephrine reuptake inhibitor (SNRI), tricyclic, bupropion, other antidepressant monotherapy or polytherapy, and specific antidepressants, during the second trimester and first half of the third trimester. Relative risks (RRs) and 95% confidence intervals (CIs) were adjusted for delivery year, preeclampsia risk factors, depression severity proxies, other antidepressant indications, other medications, and healthcare utilization.

Results: The risk of preeclampsia was 5.4% among women with depression and no antidepressant exposure. Compared with these women, the risk for preeclampsia was higher among those receiving SNRI (RR: 1.52, 95% CI = 1.26–1.83) and tricyclic monotherapy (RR: 1.62, 95% CI = 1.23–2.12), but not SSRI monotherapy (RR: 1.00, 95% CI = 0.93–1.07) or other antidepressants. Compared with women receiving SSRI monotherapy, preeclampsia risk was higher among women with SNRI (RR: 1.54, 95% CI = 1.28–1.86) and tricyclic (RR: 1.64, 95% CI = 1.25–2.16) monotherapy. None of the specific SSRIs was associated with preeclampsia. The RR with venlafaxine was 1.57 (95% CI = 1.29–1.91) and with amitriptyline 1.72 (95% CI = 1.24–2.40).

Conclusions: In this population, SNRIs and tricyclics were associated with a higher risk of preeclampsia than SSRIs.

Author Information

From the aDepartment of Epidemiology, Harvard School of Public Health, Boston, MA; bDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA; cDepartment of Obstetrics, Gynecology, and Reproductive Biology, Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; dInstitute for Prevention and Cancer Epidemiology, University of Freiburg Medical Center, Freiburg, Germany; eDepartment of Biostatistics, Harvard School of Public Health, Boston, MA; and fDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.

This work was supported by the Agency for Healthcare Research and Quality (AHRQ) (grant R01HS018533 to S.H.-D.). K.P. was supported by training grant T32HD060454 in Reproductive, Perinatal and Pediatric Epidemiology from the National Institute of Child Health and Human Development, National Institutes of Health. S.S. was supported by a mid-career development award from the AHRQ, U.S. DHHS (grant K02HS017731).

The Pharmacoepidemiology Program at the Harvard School of Public Health receives funding from Pfizer and Asisa. S.H.-D. has consulted for GSK and Novartis.

Supplemental digital content is available through direct URL citations in the HTML and PDF versions of this article ( This content is not peer-reviewed or copy-edited; it is the sole responsibility of the author.

Correspondence: Kristin Palmsten, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115. E-mail:

Received November 26, 2012

Accepted March 26, 2013

Article Outline

Preeclampsia can seriously compromise maternal and offspring health.1 It causes intrauterine growth restriction and is a major cause of medically indicated preterm delivery.1,2 Current evidence suggests an association between antidepressant use during pregnancy and preeclampsia,3–6 although it is unclear if pharmacotherapy affects the risk of preeclampsia independently of mood disorders.7–9 Previous studies of selective serotonin reuptake inhibitors (SSRIs), the most commonly used antidepressants during pregnancy,10 and risk for preeclampsia have reported varying degrees of association. The first study reported a 3.2-fold increase in risk of preeclampsia among SSRI users (95% confidence interval [CI] = 1.9–5.3),3 whereas in two subsequent studies, the increases in risks were more moderate (1.2- to 1.6-fold).5,6 The evidence is more limited for non-SSRI antidepressants, although serotonin–norepinephrine reuptake inhibitor (SNRI) and tricyclic antidepressants were associated with preeclampsia in one study.5

Findings from these studies were challenged on the basis of potential confounding by indication, insufficient size to provide precise estimates, assess non-SSRIs, or conduct subgroup analyses, and whether the results could be replicated in other populations. Using healthcare utilization data from the Medicaid Analytic eXtract (MAX), we investigated the association between specific antidepressants used during mid-pregnancy and preeclampsia. To reduce the potential for confounding by underlying mood disorders, only women with depression diagnoses were included in the study population. The large cohort of over 100,000 pregnancies produced stable estimates and permitted us to conduct novel analyses, such as estimating the comparative safety of specific antidepressants during pregnancy, and stratifying analyses within subgroups defined by age and race. Our evaluation of antidepressants and preeclampsia was conducted within a racially diverse and indigent population typically neglected in volunteer-based studies.

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Eligible Population

The pregnancy cohort was identified from 2000 to 2007 MAX data as previously described.11,12 Briefly, Medicaid enrollment information was linked to inpatient and outpatient procedures and diagnoses, and to outpatient pharmacy dispensing data using the state and Medicaid identification number. Women with delivery-related diagnoses and procedures were identified, and live-born infants were linked to these women by matching state, Medicaid Case Number, and maternal delivery dates with infant date of birth. The date of last menstrual period (LMP) was assigned to be 245 days before the infant’s date of birth for pregnancies that were preterm by maternal or infant International Classification of Diseases, Ninth Revision (ICD-9), codes (644.0, 644.2, and 765.x), and 270 days before the infant’s date of birth for all other pregnancies. This validated algorithm accurately classified gestational age at delivery within 2 weeks for 75% of preterm and nearly all term deliveries in a similar database.13 To ensure healthcare claim completeness, we excluded women who did not meet Medicaid enrollment and eligibility criteria from 1 month before the LMP month until the month after the delivery month. There were 1,248,875 pregnancies from 1,072,352 women in the eligible population. This project was approved by Brigham and Women’s Hospital and Harvard School of Public Health Institutional Review Boards, and a data use agreement was approved by Centers for Medicare and Medicaid Services.

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We restricted the cohort to 100,942 women with a depression diagnosis for the main analyses (eFigure 1,, illustrates the number of women available for each analysis). We defined depression as any inpatient or outpatient ICD-9 code for 296.x, 300.x, 309.x, or 311.x between the LMP and 225 gestational days, that is, the end of the exposure window described below. The positive predictive value (PPV) for depression defined with these three-digit codes was 77% in another healthcare utilization database.14 Although this definition also includes codes for anxiety, which is associated with preeclampsia,7,9 and bipolar disorder, it should identify more women with depression than a four-digit definition with higher specificity for depression.

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We defined preeclampsia as any inpatient or outpatient ICD-9 code for preeclampsia or eclampsia (642.4x–642.7x) after 140 gestational days15 and within 30 days after the delivery date (Figure 1). We assessed outcome validity by reviewing delivery hospital medical records for a sample of 183 women. There was no evidence of differential misclassification by antidepressant exposure. The PPV was 66% overall (95% CI: 59–73%) and 92% for inpatient preeclampsia (95% CI = 86–96%). These estimates are conservative, as we did not have outpatient medical records, that is, some unconfirmed cases could be true cases that were diagnosed outside the delivery hospitalization. In outcome sensitivity analyses, we considered only inpatient and severe preeclampsia/eclampsia (separately), and we corrected odds ratios for overall and inpatient preeclampsia misclassification using sensitivities and specificities that were plausible based on the PPVs.16

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The primary exposure window was from 90 to 225 gestational days, that is, the second trimester through the end of the first half of the third trimester. We selected this window because previous studies reported that there is an increased risk for preeclampsia among women exposed to antidepressants after the first trimester.3 Women were classified as exposed if they had an antidepressant dispensed during the exposure window, and as unexposed (the reference group for the primary analysis) if there was no antidepressant dispensed between the LMP and the end of the window. To avoid reverse causation bias, women were classified as unexposed if their first preeclampsia diagnosis occurred before their first antidepressant was dispensed during the exposure window (64 women). Women who received only one antidepressant class during the window were classified as having either SSRI, SNRI, tricyclic, bupropion, or other antidepressant (mirtazapine, nefazodone, trazodone) monotherapy. Women who received more than one class, because of concomitant or sequential exposure to multiple classes, were classified as having polytherapy with an SSRI and another class or non-SSRIs. The 34,262 women who received antidepressants only during the first trimester but not during the exposure window, including 15,175 women with depression, were excluded from the primary analysis.

The primary analysis compared risk for preeclampsia between exposed women (according to antidepressant class) and unexposed women. In five subsequent analyses, we varied the exposure definition or reference group while maintaining the same exposure window. First, among women in the monotherapy groups, we compared specific antidepressants, if there were at least 100 women with depression exposed to a given medication, with no antidepressant exposure. Second, in a comparative safety analysis, we compared other exposure groups to the SSRI monotherapy group. Third, in an initiator versus unexposed analysis, we classified women with no antidepressant dispensed during the first trimester but with antidepressants dispensed during the exposure window as initiators. Fourth, in a cumulative duration analysis, we classified women within each monotherapy group by the amount of class-specific antidepressant days supply that overlapped with the exposure window (135 days): short ≤30, medium 31–90, and long >90 duration versus unexposed. Finally, in a dose analysis, we categorized women within each monotherapy group according to the highest antidepressant dose dispensed during the exposure window and compared them with unexposed women. Dose levels were defined according to Goodman & Gilman’s usual dose (mg/day):17 low < lowest usual dose, medium ≤ the midpoint of the usual dose range, high > the midpoint of the usual dose range (eAppendix, Because of small numbers, medium and high doses were combined for tricylic, bupropion, and other monotherapy.

To test the robustness of the exposure window definition, we did a timing analysis in which exposure was defined as an antidepressant dispensed within 30-day intervals throughout gestation; unexposed women had no antidepressant dispensed between the LMP and the end of each interval. Women who had an antidepressant dispensed within the first 30 gestational days were eligible for a continuation/discontinuation analysis. Women with additional dispensings during the exposure window were classified as continuers, women with no dispensings beyond the first 30 gestational days until the end of the exposure window and no days supply that extended into the exposure window were classified as discontinuers, and all other women were excluded.

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Information on other medication use and comorbidities was obtained during the baseline period (the first trimester) with the exception of depression and other antidepressant indications, which was obtained from the LMP until the end of the exposure window (ie, 225 gestational days). Potential confounders included risk factors for preeclampsia: age (quadratic spline), race/ethnicity (white, black, Hispanic, Asian or Pacific Islander, other, or unknown), primiparity (multiparae defined using adult with dependent children as the Medicaid eligibility type),11 multiple gestation, and diabetes (diagnosis and no antidiabetic dispensing, no diagnosis and dispensing, diagnosis and dispensing); proxies of depression severity: number of outpatient (0, 1, 2–4, 5–9, ≥10) and inpatient (0, 1, ≥2) depression diagnoses between the LMP and 225 gestational days; other antidepressant indications: mental disorders complicating pregnancy (ICD-9 code 648.4x), pain-related diagnosis (chronic and generalized pain, irritable bowel syndrome, gastrointestinal ulcer, inflammatory bowel disease, lupus, rheumatoid arthritis, headache, migraine, myalgia), and sleep disorder; other psychotropic medication: anticonvulsant and benzodiazepine dispensings; and general markers of comorbidity: number of distinct prescription drugs excluding antidepressants dispensed (quadratic spline) and number of outpatient visits (quadratic spline) during the baseline.18

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Statistical Analysis

We used generalized estimating equations to estimate relative risks (RRs) for preeclampsia along with their corresponding 95% CIs.19 Models were adjusted for delivery year, and robust variances were utilized to account for correlations among women with multiple pregnancies.19 Models were additionally adjusted for preeclampsia risk factors and for depression severity proxies, other indications, other medications, and healthcare utilization. All polytherapy groups were collapsed after the primary analysis because results were similar across polytherapy groups, which were small. We tested for multiplicative modification of the SSRI, SNRI, and tricyclic relations by age (≥30), race/ethnicity (white and nonwhite), and multiparity because our cohort is younger and more racially diverse than cohorts from previous studies3–6 and a high proportion of women are multiparous. We also tested for additive effect modification using the relative excess risk of interaction (RERI).20

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Sensitivity Analysis

We performed several sensitivity analyses to evaluate the robustness of the primary results. First, we corrected RRs for confounding21,22 by obesity and smoking using estimates from the National Health and Nutrition Examination Survey (NHANES) (eMethods, Then, we utilized high-dimensional propensity score methods to empirically identify and adjust for additional confounders.23,24 We excluded 2.5% of women on both extremes of the propensity score distribution and adjusted logistic regression models for deciles of the score, which was estimated from investigator-defined covariates and 200 empirically identified variables. We implemented a depression definition using specific depression diagnosis codes that did not include bipolar and anxiety disorders (ICD-9 codes: 296.2x–296.3x, 296.9, 300.4x, 309.0x–309.1x, 309.28, 311.x). To determine if the primary results could be attenuated because of the classification of women with a preeclampsia diagnosis before antidepressant exposure as unexposed, we restricted the end of the exposure window to 140 gestational days. We accounted for correlations within states rather than within women. We also adjusted for diabetes, antidiabetic drug dispensings, sleep disorders, and pain-related diagnosis by using additional information from before the LMP. Baseline hypertension may be an intermediate between some antidepressants and preeclampsia because certain antidepressants can elevate blood pressure25,26 and hypertension is a risk factor for preeclampsia.27 Consequently, we accounted for hypertension in sensitivity analyses by adjustment and restriction. We restricted to women with migraine, regardless of depression, to further reduce the potential for confounding by migraine.28–30 Finally, we restricted to women not enrolled in capitated managed-care plans to reduce the potential for exposure misclassification (women in these plans may have incomplete information).31

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Within the source population, 7.8% of women had at least one antidepressant dispensed during pregnancy and 4.6% had at least one dispensed during the exposure window. Among women with depression, 42.5% had at least one dispensed during pregnancy and 26.3% had at least one dispensed during the window. Compared with unexposed women with depression, women with depression and antidepressant exposure were more often older, white, and multiparous, and were more likely to have other antidepressant indications, use other psychotropic medications, and have higher levels of healthcare utilization (Table 1). Baseline characteristics were more homogeneous among exposure groups, although women in the tricyclic group were more likely to have hypertension, pain-related diagnoses, and sleep disorders than women in other groups.

Risk of preeclampsia was 4.7% among women without depression and without antidepressant exposure. Among women with depression, the risk of preeclampsia was 5.4% for women without antidepressant therapy and 5.4% in the SSRI, 8.8% in the SNRI, and 10.7% in the tricyclic–monotherapy groups. Compared with unexposed women, women in the SNRI monotherapy group had an adjusted RR of 1.52 (95% CI = 1.26–1.83) and 1.62 (1.23–2.12) in the tricyclic–monotherapy group. There was no association for the SSRI monotherapy (RR: 1.00; 95% CI = 0.93–1.07) or other antidepressant groups, including the polytherapy groups. Covariate adjustment attenuated the relative associations for SNRI and tricyclic–monotherapy and several polytherapy groups (Table 2). There was no substantially increased risk for preeclampsia in any of the specific SSRI antidepressants considered (Table 3). Venlafaxine was associated with a 1.57-fold increased risk for preeclampsia (1.29–1.91) and the RR for amitriptyline was 1.72 (1.24–2.40). Compared with women with SSRI monotherapy, the RR of preeclampsia was 1.54 for women with SNRI monotherapy (1.28–1.86), 1.64 for tricyclic monotherapy (1.25–2.16), and 1.08 for bupropion monotherapy (0.92–1.28).

When the primary analysis was repeated to include both women with and without depression, the associations changed slightly; the RR for preeclampsia was 1.05 for SSRI (1.00–1.10), 1.53 for SNRI (1.33–1.76), and 1.38 (1.18–1.60) for tricyclic–monotherapy groups. Among women with and without depression, the RRs for preeclampsia adjusted for delivery year were fairly stable during the first 8 months of pregnancy for SSRIs, bupropion, and other antidepressants (Figure 2). The RRs increased after the first month of pregnancy for SNRI and tricyclic therapies.

When we considered monotherapy initiators, the RR for preeclampsia was 1.03 (0.89–1.20) for the SSRI, 1.26 (0.68–2.33) for the SNRI, and 1.77 (0.89–3.53) for the tricyclic groups, compared with the unexposed group. Comparing continuers to discontinuers, the RR for preeclampsia was 1.21 (1.02–1.45) for SSRI, 1.61 (1.04–2.47) for SNRI, and 1.59 (0.66–3.88) for tricyclic monotherapies (TABLE 4).

The median antidepressant days supply during the exposure window was 55 for SSRI, 77 for SNRI, 33 for tricyclic, 35 for bupropion, and 39 for other antidepressant monotherapy groups. The RR was 1.45 (1.13–1.87) for women exposed to at least 130 days of SSRI monotherapy, but only 3.8% of SSRI monotherapy users had a duration this long. Among women with SNRI monotherapy, only women with high or medium cumulative duration had an increased risk for preeclampsia, compared with unexposed women, whereas women at any level in the tricyclic–monotherapy group had an increased risk for preeclampsia (eTable 1,

None of the levels of SSRI dose were associated with preeclampsia. In contrast, low SNRI doses were not associated with preeclampsia whereas higher doses were associated, and any tricyclic dose was associated (eTable 2,

Considering outcome misclassification, the risk of preeclampsia among women with depression and without antidepressant exposure could be as low as 3.6%. After correcting for outcome misclassification, the SNRI and tricyclic associations increased. However, when restricting the outcome definition to preeclampsia identified through inpatient codes or severe preeclampsia/eclampsia codes, results did not change meaningfully (eTable 3,

After correcting the primary RRs for obesity and smoking using NHANES estimates, all RRs shifted downward: 0.90 for SSRIs, 1.29 for SNRIs, and 1.44 for tricyclics (eTable 4, After correcting the comparative safety RRs for obesity and smoking, RRs shifted downward slightly: 1.44 for SNRIs and 1.60 for tricyclics. Only the tricyclic association was attenuated (RR: 1.39, 95% CI = 0.90–2.15) in the high-dimensional propensity score analysis compared with the primary analysis (eTable 5, Results from the other sensitivity analyses (eTables 6–8, did not differ substantially from the primary analysis. The RRs ranged from 0.97 to 1.13 for SSRIs, 1.41 to 1.67 for SNRIs, and 1.44 to 1.72 for tricyclics.

Multiplicative effect modification was borderline statistically significant for SNRI exposure by age (P = 0.06) and for tricyclic exposure by race (P = 0.05). The SNRI RR was highest among women at least 30 years old, and the tricyclic RR was highest among white women (eTable 8, There was evidence of additive effect modification of SNRI exposure by age (RERI = 0.89 [0.15–1.63] for ages ≥30) and of tricyclic exposure by race (RERI = 0.76 [0.04–1.48] for white women). There was no evidence of effect modification by parity.

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Women who used SNRIs or tricyclics during mid-pregnancy had an approximately 1.5-fold increased risk of preeclampsia when compared with women who did not use antidepressants, as well as with women who used SSRIs. Unlike previous studies,3,5,6 we did not find an increased risk of preeclampsia among women who used SSRIs during mid-pregnancy compared with women who did not use antidepressants; none of the SSRIs was associated with preeclampsia. The SNRI velafaxine and the tricyclic amitriptyline were associated with preeclampsia.

In the primary analysis, we compared women who used antidepressants during mid-pregnancy with women who did not use antidepressants. We also compared non-SSRI with SSRI users, initiators with noninitiators, and continuers with discontinuers. The comparative safety analysis addressed the question: is preeclampsia risk higher for women who use SNRIs or tricyclics than for SSRI users? This analysis may reduce confounding through the use of an active comparator group more similar with respect to unmeasured confounders than unexposed women. Again, the estimates suggested a moderate increased risk among women who used SNRIs or tricyclics, compared with SSRI users. The initiator analysis addressed an unambiguous question: does preeclampsia risk increase for women who initiate antidepressants during mid-pregnancy? Furthermore, this type of analysis precludes adjustment for covariates that are affected by prior treatment.32 The estimates suggested a moderate increased risk among tricyclic initiators and a mild increased risk for SNRI initiators. The continuation/discontinuation analysis also addressed a well-defined and clinically relevant question: among women who use antidepressants early in pregnancy, does preeclampsia risk increase for women who continue using their medications? This analysis may reduce confounding through comparator groups that are more similar than unexposed women. The estimates suggested a moderate increased risk among women who continued SNRI or tricyclic treatments. The null finding for SSRIs in the primary analysis and the slightly increased risk for the SSRI continuers in the continuation/discontinuation analysis results may reflect differences across the analytic cohorts used in these two analyses.

SSRIs, SNRIs, and tricyclics inhibit serotonin transporters or both serotonin and norepinephrine transporters and augment extracellular concentrations of these monoamines.33 Serotonin and norepinephrine induce uterine, placental, and umbilical vasoconstriction in in vitro studies.34–39 Antidepressant-mediated vasoconstriction could lead to uteroplacental underperfusion and ischemia, a biologic pathway that may be common to preeclampsia and certain etiologies of preterm delivery.40 However, there are few data regarding the impact of antidepressants on uterine and umbilical blood flow in pregnant women.41,42 Alternatively, depression has been hypothesized to cause preeclampsia through increased hypothalamic-pituitary-adrenal activity, systemic inflammation, and vasoconstriction.7–9,30

We tried to reduce confounding by depression through restriction, traditional and high-dimensional propensity score model adjustment, and comparative safety and continuation/discontinuation analyses. Although the associations persisted through all analyses, we could not rule out confounding by depression severity, or unmeasured lifestyle factors associated with depression severity, as noncausal explanations of our results even in the analyses with active comparators. Adjustment for factors that may be correlated with depression severity attenuated the associations slightly, and further adjustment could have moved the RRs closer to the null.

Although we controlled for confounding by other antidepressant indications, results could nevertheless reflect residual confounding by unrecorded indications. Tricyclics are often used for indications other than depression.43 Confounding by migraine in particular is a concern because tricyclics are prescribed for migraine prophylaxis,44 and migraine is associated with preeclampsia.28–30 Because the tricyclic association was attenuated when restricting to women with migraine, the primary analysis may reflect some residual confounding by misclassified migraine.

In our data, we were unable to measure obesity, which is strongly and positively associated with preeclampsia,45 and smoking, which is negatively associated.46 Based on external adjustment, it seems unlikely that residual confounding by these factors could explain our results entirely. Had we been able to adjust for body mass index, our results may have been attenuated only slightly. Moreover, adjustment for body mass index and smoking did not change the SSRI and preeclampsia association in one study with this information.3

Another potential limitation is exposure misclassification. We have assumed that women were taking medications around the days indicated by pharmacy records.47 Missing pharmacy claims are another source of exposure misclassification. We expect that both sources of misclassification are nondifferential (given the prospective recording of prescription information) and would tend to bias the results toward the null, which is problematic for a safety study and for the SSRI result in particular. However, it was reassuring that the results did not change when we excluded all women enrolled in capitated plans, which may report incomplete claims information,31 or when we considered various exposure windows. Furthermore, the SSRI association was null for the SSRI long-cumulative-duration exposure group, which contained women dispensed multiple antidepressant prescriptions during mid-pregnancy.

Outcome misclassification is another concern because it could also bias the associations downward. Results did not change when we focused on inpatient preeclampsia, which had high PPV in MAX based on medical record review. Correcting the inpatient preeclampsia RRs for outcome misclassification strengthened the SNRI and tricyclic associations.

We did not confirm the positive association between SSRIs and preeclampsia reported in the previous studies, and the magnitude of the SNRI and tricyclic relations were smaller in this study. There are several possible explanations for these differences. First, incomplete claims information, resulting in nondifferential exposure and outcome misclassification, could partially explain why our results were attenuated. Second, lower adherence or dose in this population could contribute to the attenuation. Third, random variability may have been at play in earlier studies; our SSRI estimate was stable with over 1000 exposed cases, whereas there were many fewer exposed cases in previous studies.3,6 Fourth, we may have better adjustment for underlying disorders; we were able to adjust for mood disorder and mood disorder severity, which attenuated results. Finally, the discrepant results may be attributed to differences in study population that affect the baseline risk of preeclampsia and the effect of antidepressants. Women in this cohort have low socioeconomic status and are younger and less likely to be white than in the previous study cohorts.3,5,6 Moreover, differences in the distribution of potential effect modifiers among the cohorts would result in dissimilar population average associations. When we restricted the cohort to white women at least 30 years old, the magnitude of the SNRI association was the same as previously reported from the British Columbia cohort, which had median age of 30 and comprised primarily white women.5

This was the first study of an exposure–outcome relation within a nationwide Medicaid cohort. The results from this study may not generalize to all populations; nevertheless, they are relevant considering that over 40% of pregnant women in the United States are enrolled in Medicaid.48 We have demonstrated that pregnancy cohorts carefully identified from MAX can be used to evaluate pharmaceutical safety. The large study size allowed us to evaluate five different classes of antidepressants, several specific antidepressants, and antidepressant initiation and discontinuation while restricting analyses to women with depression. The diverse and large cohort also permitted us to identify age and race as potential effect modifiers.

In this Medicaid population, SNRI and tricyclic use during mid-pregnancy were associated with a higher risk of preeclampsia than SSRIs. We could not rule out the possibility that results from any of the analyses reflect residual confounding by unmeasured lifestyle factors, other antidepressant indications, or depression severity. After taking into account the uncertainty from random variability and biases, our best estimate for the RR of preeclampsia is around 0.9–1.1 for SSRIs, 1.3–1.7 for SNRIs, and 1.4–1.9 for tricyclics. Further biologic research is needed to elucidate the potential role that SNRI and tricyclic antidepressants may play in the development of preeclampsia.

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1. Roberts JM, Pearson G, Cutler J, Lindheimer MNHLBI Working Group on Research on Hypertension During Pregnancy. . Summary of the NHLBI working group on research on hypertension during pregnancy. Hypertension. 2003;41:437–445
2. Ananth CV, Vintzileos AM. Maternal-fetal conditions necessitating a medical intervention resulting in preterm birth. Am J Obstet Gynecol. 2006;195:1557–1563
3. Toh S, Mitchell AA, Louik C, Werler MM, Chambers CD, Hernández-Díaz S. Selective serotonin reuptake inhibitor use and risk of gestational hypertension. Am J Psychiatry. 2009;166:320–328
4. Reis M, Källén B. Delivery outcome after maternal use of antidepressant drugs in pregnancy: an update using Swedish data. Psychol Med. 2010;40:1723–1733
5. Palmsten K, Setoguchi S, Margulis AV, Patrick AR, Hernández-Díaz S. Elevated risk of preeclampsia in pregnant women with depression: depression or antidepressants? Am J Epidemiol. 2012;175:988–997
6. De Vera MA, Bérard A. Antidepressant use during pregnancy and the risk of pregnancy-induced hypertension. Br J Clin Pharmacol. 2012;74:362–369
7. Kurki T, Hiilesmaa V, Raitasalo R, Mattila H, Ylikorkala O. Depression and anxiety in early pregnancy and risk for preeclampsia. Obstet Gynecol. 2000;95:487–490
8. Qiu C, Sanchez SE, Lam N, Garcia P, Williams MA. Associations of depression and depressive symptoms with preeclampsia: results from a Peruvian case-control study. BMC Womens Health. 2007;7:15
9. Qiu C, Williams MA, Calderon-Margalit R, Cripe SM, Sorensen TK. Preeclampsia risk in relation to maternal mood and anxiety disorders diagnosed before or during early pregnancy. Am J Hypertens. 2009;22:397–402
10. Andrade SE, Raebel MA, Brown J, et al. Use of antidepressant medications during pregnancy: a multisite study. Am J Obstet Gynecol. 2008;198:194.e1–194.e5
11. Palmsten K, Huybrechts KF, Mogun H, et al. Harnessing the Medicaid Analytic eXtract (MAX) to evaluate medications in pregnancy: design considerations. PLoS ONE. 2013;8 Available at: Accessed 27 June 2013.
12. Huybrechts KF, Palmsten K, Mogun H, et al. National trends in antidepressant medication treatment among publicly insured pregnant women. Gen Hosp Psychiatry. 2013;35:265–271
13. Margulis AV, Setoguchi S, Mittleman MA, Glynn RJ, Dormuth CR, Hernández-Díaz S. Algorithms to estimate the beginning of pregnancy in administrative databases. Pharmacoepidemiol Drug Saf. 2013;22:16–24
14. West SL, Richter A, Melfi CA, McNutt M, Nennstiel ME, Mauskopf JA. Assessing the Saskatchewan database for outcomes research studies of depression and its treatment. J Clin Epidemiol. 2000;53:823–831
15. ACOG Practice Bulletin. . Diagnosis and management of preeclampsia and eclampsia. Number 33, January 2002. Obstet Gynecol. 2002;99:159–167
16. Fox MP, Lash TL, Greenland S. A method to automate probabilistic sensitivity analyses of misclassified binary variables. Int J Epidemiol. 2005;34:1370–1376
17. O’Donnell JM, Shelton RCBrunton LL, Chabner BA, Knollmann BC. Chapter 15. Drug therapy of depression and anxiety disorders. Goodman & Gilman’s The Pharmacological Basis of Therapeutics. 201112th ed New York, NY McGraw-Hill
18. Schneeweiss S, Seeger JD, Maclure M, Wang PS, Avorn J, Glynn RJ. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol. 2001;154:854–864
19. Zou GY, Donner A. Extension of the modified Poisson regression model to prospective studies with correlated binary data. Stat Methods Med Res. 2011 8 November 2011 [Epub ahead of print]
20. Knol MJ, VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. Int J Epidemiol. 2012;41:514–520
21. Walker AM Observation and Inference. 1991 Newton, MA Epidemiology Resources Inc
22. Schneeweiss S. Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics. Pharmacoepidemiol Drug Saf. 2006;15:291–303
23. Rassen JA, Glynn RJ, Brookhart MA, Schneeweiss S. Covariate selection in high-dimensional propensity score analyses of treatment effects in small samples. Am J Epidemiol. 2011;173:1404–1413
24. Rassen JA, Doherty M, Huang W, Schneeweiss S Pharmacoepidemiology Toolbox. Available at: Accessed 25 November 2012
25. Thase ME. Effects of venlafaxine on blood pressure: a meta-analysis of original data from 3744 depressed patients. J Clin Psychiatry. 1998;59:502–508
26. Thase ME, Tran PV, Wiltse C, Pangallo BA, Mallinckrodt C, Detke MJ. Cardiovascular profile of duloxetine, a dual reuptake inhibitor of serotonin and norepinephrine. J Clin Psychopharmacol. 2005;25:132–140
27. Duckitt K, Harrington D. Risk factors for pre-eclampsia at antenatal booking: systematic review of controlled studies. BMJ. 2005;330:565
28. Sanchez SE, Qiu C, Williams MA, Lam N, Sorensen TK. Headaches and migraines are associated with an increased risk of preeclampsia in Peruvian women. Am J Hypertens. 2008;21:360–364
29. Chen HM, Chen SF, Chen YH, Lin HC. Increased risk of adverse pregnancy outcomes for women with migraines: a nationwide population-based study. Cephalalgia. 2010;30:433–438
30. Cripe SM, Frederick IO, Qiu C, Williams MA. Risk of preterm delivery and hypertensive disorders of pregnancy in relation to maternal co-morbid mood and migraine disorders during pregnancy. Paediatr Perinat Epidemiol. 2011;25:116–123
31. Hennessy S, Freeman CP, Cunningham FStrom BL, Kimmel SE, Hennessy S. Chapter 14. US government claims databases. Pharmacoepidemiology. 20125th ed Chichester, West Sussex, UK Wiley-Blackwell:209–223
32. Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158:915–920
33. Andersen J, Kristensen AS, Bang-Andersen B, Stromgaard K. Recent advances in the understanding of the interaction of antidepressant drugs with serotonin and norepinephrine transporters. Chem Commun (Camb). 2009:3677–3692
34. Bjøro K, Stray-Pedersen S. In vitro perfusion studies on human umbilical arteries. I. Vasoactive effects of serotonin, PGF2 alpha and PGE2. Acta Obstet Gynecol Scand. 1986;65:351–355
35. Gonzalez C, Cruz MA, Sepulveda WH, Rudolph MI. Effects of serotonin on vascular tone of isolated human placental chorionic veins. Gynecol Obstet Invest. 1990;29:88–91
36. González C, Cruz MA, Gallardo V, Albornoz J, Bravo I. Serotonin-induced vasoconstriction in human placental chorionic veins: interaction with prostaglandin F2 alpha. Gynecol Obstet Invest. 1993;35:86–90
37. Jovanović A, Grbović L, Jovanović S. Effect of the vascular endothelium on noradrenaline-induced contractions in non-pregnant and pregnant guinea-pig uterine arteries. Br J Pharmacol. 1995;114:805–815
38. Steele SC, Warren AY, Johnson IR. Effect of the vascular endothelium on norepinephrine-induced contractions in uterine radial arteries from the nonpregnant and pregnant human uterus. Am J Obstet Gynecol. 1993;168:1623–1628
39. Yousif MH, Chandrasekhar B, Kadavil EA, Oriowo MA. Noradrenaline-induced vasoconstriction in the uterine vascular bed of pregnant rats chronically treated with L-NAME: role of prostanoids. J Cardiovasc Pharmacol. 2003;42:428–435
40. Ananth CV, Vintzileos AM. Medically indicated preterm birth: recognizing the importance of the problem. Clin Perinatol. 2008;35:53–67, viii
41. Rurak D, Lim K, Sanders A, Brain U, Riggs W, Oberlander TF. Third trimester fetal heart rate and Doppler middle cerebral artery blood flow velocity characteristics during prenatal selective serotonin reuptake inhibitor exposure. Pediatr Res. 2011;70:96–101
42. Monk C, Newport DJ, Korotkin JH, Long Q, Knight B, Stowe ZN. Uterine blood flow in a psychiatric population: impact of maternal depression, anxiety, and psychotropic medication. Biol Psychiatry. 2012;72:483–490
43. Patten SB, Esposito E, Carter B. Reasons for antidepressant prescriptions in Canada. Pharmacoepidemiol Drug Saf. 2007;16:746–752
44. Smitherman TA, Walters AB, Maizels M, Penzien DB. The use of antidepressants for headache prophylaxis. CNS Neurosci Ther. 2011;17:462–469
45. Bodnar LM, Ness RB, Markovic N, Roberts JM. The risk of preeclampsia rises with increasing prepregnancy body mass index. Ann Epidemiol. 2005;15:475–482
46. Conde-Agudelo A, Althabe F, Belizán JM, Kafury-Goeta AC. Cigarette smoking during pregnancy and risk of preeclampsia: a systematic review. Am J Obstet Gynecol. 1999;181:1026–1035
47. Stephansson O, Granath F, Svensson T, Haglund B, Ekbom A, Kieler H. Drug use during pregnancy in Sweden - assessed by the Prescribed Drug Register and the Medical Birth Register. Clin Epidemiol. 2011;3:43–50
48. Garcia G. Maternal and Child Health (MCH) Update: States Increase Eligibility for Children’s Health in 2007. Available at:;jsessionid=7B47A647247DD4E5CB9B709C8F9797AE. Accessed 25 November 2012

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