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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJPDS</journal-id>
<journal-title-group>
<journal-title>International Journal of Population Data Science</journal-title>
<abbrev-journal-title>IJPDS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2399-4908</issn>
<publisher>
<publisher-name>Swansea University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.23889/ijpds.v9i2.2458</article-id>
<article-id pub-id-type="publisher-id">9:2:13</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Neonates With In-Utero SSRI Exposure (NeoWISE): a retrospective cohort study examining the effect of newborn feeding method on newborn withdrawal</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Cantin</surname><given-names initials="C">Christina</given-names></name><xref ref-type="aff" rid="affil-1">1</xref><xref ref-type="aff" rid="affil-2">2</xref><xref ref-type="corresp" rid="correspondingAurthor">*</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names initials="W">Wenbin</given-names></name><xref ref-type="aff" rid="affil-3">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Snelgrove-Clarke</surname><given-names initials="E">Erna</given-names></name><xref ref-type="aff" rid="affil-1">1</xref><xref ref-type="aff" rid="affil-4">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Corsi</surname><given-names initials="D">Daniel</given-names></name><xref ref-type="aff" rid="affil-5">5</xref><xref ref-type="aff" rid="affil-6">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Dennis</surname><given-names initials="CL">Cindy-Lee</given-names></name><xref ref-type="aff" rid="affil-7">7</xref></contrib>
<contrib contrib-type="author"><name><surname>Ross-White</surname><given-names initials="A">Amanda</given-names></name><xref ref-type="aff" rid="affil-4">4</xref><xref ref-type="aff" rid="affil-8">8</xref></contrib>
<contrib contrib-type="author"><name><surname>Brogly</surname><given-names initials="S">Susan</given-names></name><xref ref-type="aff" rid="affil-3">3</xref><xref ref-type="aff" rid="affil-9">9</xref><xref ref-type="aff" rid="affil-12">&#x2020;</xref></contrib>
<contrib contrib-type="author"><name><surname>Gaudet</surname><given-names initials="L">Laura</given-names></name><xref ref-type="aff" rid="affil-10">10</xref><xref ref-type="aff" rid="affil-11">11</xref><xref ref-type="aff" rid="affil-12">&#x2020;</xref></contrib>
<aff id="affil-1"><label>1</label><institution>School of Nursing, Faculty of Health Sciences, Queen&#x2019;s University, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-2"><label>2</label><institution>CHEO Research Institute, Ottawa, Ontario, Canada</institution></aff>
<aff id="affil-3"><label>3</label><institution>ICES, Queen&#x2019;s University, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-4"><label>4</label><institution>Queen&#x2019;s Collaboration for Health Care Quality: A JBI Centre of Excellence, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-5"><label>5</label><institution>OMNI Research Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada</institution></aff>
<aff id="affil-6"><label>6</label><institution>Better Outcomes Registry and Network (BORN), Ottawa, Ontario, Canada</institution></aff>
<aff id="affil-7"><label>7</label><institution>University of Toronto, Lawrence S. Bloomberg, Faculty of Nursing, Toronto, Ontario, Canada</institution></aff>
<aff id="affil-8"><label>8</label><institution>Queen&#x2019;s University Library, Queen&#x2019;s University, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-9"><label>9</label><institution>Queen&#x2019;s University, Department of Surgery, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-10"><label>10</label><institution>School of Medicine, Faculty of Health Sciences, Queen&#x2019;s University, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-11"><label>11</label><institution>Department of Obstetrics &amp; Gynaecology, Maternal-Fetal Medicine, Kingston Health Sciences Centre, Kingston, Ontario, Canada</institution></aff>
<aff id="affil-12"><label>12</label><institution>&#x2020;S.B. Brogly and L.M. Gaudet contributed equally as senior author</institution></aff>
</contrib-group>
<author-notes>
<corresp id="correspondingAurthor"><label>*</label>Corresponding author: Christina Cantin <email>ccantin@cheo.on.ca</email></corresp>
<fn fn-type="conflict">
<label>Statement on conflicts of interest</label>
<p>The authors reported no conflicts of interest.</p>
</fn>
</author-notes>
<pub-date date-type="pub" publication-format="electronic"><day>10</day><month>12</month><year>2024</year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year>2024</year></pub-date>
<volume>9</volume>
<issue>2</issue>
<elocation-id>2458</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/2458">This article is available from the IJPDS website at: https://ijpds.org/article/view/2458</self-uri>
<abstract>
<title>Abstract</title>
<sec>
<title>Introduction</title>
<p>Up to 30% of newborns with in-utero selective serotonin reuptake inhibitor (SSRI) exposure experience withdrawal symptoms. The impact of newborn feeding method on alleviating withdrawal has not been investigated. We examined the effect of newborn feeding method (breastfeeding versus formula) among a cohort of <bold>Neo</bold>nates <bold>W</bold>ith <bold>I</bold>n-utero <bold>S</bold>SRI <bold>E</bold>xposure (NeoWISE).</p>
</sec>
<sec>
<title>Methods</title>
<p>This population-based retrospective cohort study included newborns born in Ontario hospitals between April 1, 2012, and March 31, 2020 to Ontario Drug Benefit Program beneficiaries who filled at least one SSRI prenatal prescription. Linked administrative health and registry data were used. Method of newborn feeding was available from birth to hospital discharge. The primary outcome was newborn withdrawal. The secondary outcome was transfer to the Neonatal Intensive Care Unit (NICU). Adjusted risk ratios (adjRR) in breast- versus formula-fed newborns and our outcomes were estimated using generalized linear models. Propensity scores based on antepartum and intrapartum characteristics and inverse probability of treatment weighting were used to balance differences in maternal-newborn characteristics by treatment.</p>
</sec>
<sec>
<title>Results</title>
<p>Overall, 5,079 newborns were included in the NeoWISE Cohort, with 3,321 (65.4%) exclusively breastfeeding from birth to hospital discharge. Among the breastfed newborns, 50 (1.5%) had neonatal withdrawal versus 41 (2.3%) in the formula-fed newborns. There was no difference in risk of withdrawal in breast versus formula-fed newborns (adjRR 0.86, 95% CI 0.56, 1.34). Breastfed newborns had a reduced risk of transfer to the NICU compared to formula-fed newborns (adjRR 0.80, 95% CI 0.66, 0.97); however, this finding did not persist in sensitivity analysis.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The rate of newborn withdrawal was low in this cohort of SSRI-exposed neonates and was not associated with feeding method in the hospital. The results of this study inform shared decision-making around newborn feeding for perinatal women who take SSRI medications.</p>
</sec>
</abstract>
<kwd-group>
<kwd>selective serotonin reuptake inhibitors</kwd>
<kwd>pregnancy</kwd>
<kwd>breastfeeding</kwd>
<kwd>lactation, poor neonatal adaptation syndrome</kwd>
<kwd>newborn withdrawal</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec>
<title>Introduction</title>
<p>Adequate treatment of mental health disorders during the perinatal period from pregnancy up to one year after birth [<xref ref-type="bibr" rid="ref-1">1</xref>] is essential for maternal and fetal/newborn health [<xref ref-type="bibr" rid="ref-2">2</xref>]. Pharmacological management is recommended for the treatment of moderate to severe perinatal mental health disorders when psychological interventions are not effective [<xref ref-type="bibr" rid="ref-2">2</xref>, <xref ref-type="bibr" rid="ref-2">3</xref>]. &#x2018;Selective serotonin reuptake inhibitors&#x2019; (SSRI) are the most prescribed antidepressant medication in both the general and perinatal populations [<xref ref-type="bibr" rid="ref-4">4</xref>].</p>
<p>Up to 30% of newborns with in-utero SSRI exposure will experience withdrawal signs which are often self-limiting and of short duration [<xref ref-type="bibr" rid="ref-5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref-7">7</xref>]. These signs include poor muscle tone, tremors, jitteriness, irritability, seizures, feeding difficulties, sleep disturbances, hypoglycemia, and respiratory distress [<xref ref-type="bibr" rid="ref-8">8</xref>&#x2013;<xref ref-type="bibr" rid="ref-11">11</xref>]. It is unknown if the observed signs are a serotonin syndrome (toxicity) or withdrawal [<xref ref-type="bibr" rid="ref-12">12</xref>, <xref ref-type="bibr" rid="ref-12">13</xref>], and some authors have described it as a behavioural syndrome [<xref ref-type="bibr" rid="ref-14">14</xref>]. Thus, a range of terms are found in the extant literature with the term withdrawal most commonly used [<xref ref-type="bibr" rid="ref-15">15</xref>&#x2013;<xref ref-type="bibr" rid="ref-19">19</xref>]. This contrasts with extensive research examining the withdrawal symptoms of newborns from in-utero opioid exposure and a well-defined &#x2018;Neonatal Abstinence Syndrome&#x2019; (NAS), now termed &#x2018;Neonatal Opioid Withdrawal Syndrome&#x2019; (NOWS) [<xref ref-type="bibr" rid="ref-20">20</xref>].</p>
<p>Few studies of in-utero antidepressant (AD) medication exposure included newborn withdrawal as an outcome measure or considered the effect of newborn feeding method [<xref ref-type="bibr" rid="ref-11">11</xref>, <xref ref-type="bibr" rid="ref-21">21</xref>&#x2013;<xref ref-type="bibr" rid="ref-24">24</xref>]. In a small observational cohort study of newborns with in-utero SSRI or other AD medication exposure (n = 247), newborns receiving formula feedings were three times as likely to have withdrawal as compared to newborns who were breastfeeding or receiving mixed feeds [<xref ref-type="bibr" rid="ref-25">25</xref>]. This study, like other studies, included only a small number of newborns who were exposed to antidepressant medications from different categories, leading to difficulty in estimating the effect of in-utero SSRI exposure among breastfed newborns [<xref ref-type="bibr" rid="ref-10">10</xref>, <xref ref-type="bibr" rid="ref-10">23</xref>]. Therefore, newborn feeding method represents an important area of investigation.</p>
<p>While there is evidence regarding the benefits of breast-feeding among in-utero opioid-exposed newborns on reducing the risk of NOWS, including shortened length of hospital stay, reduced need for pharmacotherapy to treat signs of NOWS, and fewer admissions to NICU [<xref ref-type="bibr" rid="ref-26">26</xref>&#x2013;<xref ref-type="bibr" rid="ref-28">28</xref>], there is a dearth of research among <bold>Neo</bold>nates <bold>W</bold>ith <bold>I</bold>n-utero <bold>S</bold>SRI <bold>E</bold>xposure (NeoWISE). Breastfeeding may offer a protective effect to the newborn by transferring low amounts of SSRIs through the breastmilk. While these low amounts have not been associated with adverse outcomes in the newborn [<xref ref-type="bibr" rid="ref-29">29</xref>], this small exposure may be sufficient to mitigate SSRI withdrawal effects. Given there are more pregnant women taking SSRIs than opioids, the study of potential withdrawal following SSRI exposure is warranted. Evidence is needed to confirm whether breastfeeding can reduce the incidence of withdrawal in NeoWISE in order to strengthen existing recommen-dations in perinatal and neonatal care guidelines for this population [<xref ref-type="bibr" rid="ref-7">7</xref>, <xref ref-type="bibr" rid="ref-8">8</xref>, <xref ref-type="bibr" rid="ref-13">13</xref>]. Furthermore, it is necessary to determine if NeoWISE would benefit from additional breastfeeding support and follow-up in the first days and weeks after birth.</p>
<p>This study aimed to identify if initiated newborn feeding method was associated with neonatal withdrawal and transfer to the NICU among neonates exposed to SSRIs in-utero. We hypothesized that breastfeeding would be associated with a lower risk of withdrawal and transfer to the NICU due to the benefit of SSRI medication transfer through breast milk and the close skin-to-skin contact with the mother during breastfeeding. This hypothesis was informed by an observational cohort study investigating newborn outcomes following in-utero AD medication exposure [<xref ref-type="bibr" rid="ref-25">25</xref>], and our clinical experience.</p>
</sec>
<sec>
<title>Methods</title>
<sec>
<title>Study design &amp; data sources</title>
<p>We conducted a population-based retrospective cohort study using administrative health and registry data holdings at ICES (formally known as the &#x2018;Institute for Clinical and Evaluative Sciences,&#x2019; <xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 1</xref>). ICES is an independent, non-profit research institute whose legal status under Ontario&#x2019;s health information privacy law allows it to collect and analyze de-identified health care and demographic data for health system evaluation and improvement. We obtained linked pregnancy and neonatal outcomes from the Better Outcomes Registry &amp; Network (BORN) Ontario, which captures 99% of maternal and newborn health records for in-hospital births [<xref ref-type="bibr" rid="ref-30">30</xref>]. These datasets were linked using unique encoded identifiers and analyzed at ICES. This study was approved by the Queen&#x2019;s Health Sciences and Affiliated Teaching Hospitals Research Ethics Board (REB NURS-576-23).</p>
</sec>
<sec>
<title>Study cohort</title>
<p>The cohort included all live-born newborns born in Ontario hospitals between April 1, 2012 and March 31, 2020 to pregnant women who were beneficiaries of the Ontario Drug Benefit (ODB) Program [<xref ref-type="bibr" rid="ref-31">31</xref>, <xref ref-type="bibr" rid="ref-31">32</xref>] and who filled at least one SSRI prescription in pregnancy. The ODB funds medication for Ontarians on social assistance, >65 years of age, or with high medical complexity and high medication costs. SSRI medications included citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, and sertraline.</p>
<p>The ICES MOMBABY dataset was used to identify the pregnancy period. For most pairs, the pregnancy period was defined using the maternal obstetrical gestational age in the MOMBABY dataset abstracted from the maternal delivery record. For newborns whose maternal obstetrical gestational age variable was missing in MOMBABY, we used the gestational age variable in MOMBABY from the newborn record.</p>
<p>Newborns were excluded if a) the mother was a non-resident of Ontario, b) the mother did not have an ODB drug claim during pregnancy, c) maternal age was less than 15 years of age or greater than 49 years of age, d) they were twin or higher order multiple birth, and/or e) maternal-newborn records could not be linked.</p>
</sec>
<sec>
<title>Exposure</title>
<p>As recorded in BORN, the study exposure was newborn feeding method defined as &#x201C;the type of oral feeding given to the newborn from the time of birth to discharge from hospital or birth centre&#x201D; [<xref ref-type="bibr" rid="ref-79">79</xref>]. The exposure of interest was being exclusively breastfed or exclusively formula-fed from birth to hospital discharge. Exclusively breastfed was defined as receiving only breastmilk from birth until hospital discharge. Newborns who received mixed feeding (i.e. breastmilk plus breastmilk substitute) were excluded from the primary analysis but were included in the sensitivity analyses. Newborns with unknown feeding and no feeding were excluded.</p>
</sec>
<sec>
<title>Covariates</title>
<p>Potential confounders of the relationship between feeding method and our study outcomes included gestational age, type of birth, parity, maternal age, neighbourhood income quintile, and other in-utero substance exposure, including other antidepressant medications [<xref ref-type="bibr" rid="ref-33">33</xref>, <xref ref-type="bibr" rid="ref-33">34</xref>], alcohol [<xref ref-type="bibr" rid="ref-12">12</xref>], tobacco [<xref ref-type="bibr" rid="ref-35">35</xref>&#x2013;<xref ref-type="bibr" rid="ref-38">38</xref>], opioids [<xref ref-type="bibr" rid="ref-12">12</xref>, <xref ref-type="bibr" rid="ref-12">34</xref>], benzodiazepines [<xref ref-type="bibr" rid="ref-33">33</xref>, <xref ref-type="bibr" rid="ref-34">34</xref>, <xref ref-type="bibr" rid="ref-39">39</xref>], and antipsychotic medications [<xref ref-type="bibr" rid="ref-33">33</xref>]. These covariates were selected based on previous studies and demographic and clinical variables readily available within the identified databases. We included rurality and the maternal Elixhauser co-morbidity index, which is a validated index that includes a group of 30 ICD diagnosis codes [<xref ref-type="bibr" rid="ref-40">40</xref>, <xref ref-type="bibr" rid="ref-40">41</xref>], to adjust for pre-existing maternal health conditions.</p>
<p>In the year prior to or during pregnancy, other prescribed and dispensed psychotropic medications obtained from the ODB that were evaluated as potential confounders included: other antidepressants (i.e. serotonin and noradrenaline reuptake inhibitors (SNRI), noradrenergic and specific seroton-ergic antidepressants (NaSSA), tricyclic antidepressants (TCA), atypical, monoamine oxidase inhibitors (MAOI)), and other psychotropics (i.e. antipsychotics, benzodiazepines, tranquillizer/sedative/hypnotic, mood stabilizers, GABAergic, 5-HT1A agonists). Opioids (i.e. morphine, meperidine, codeine, fentanyl, nalbuphine, hydromorphone, oxycodone, tramadol, buprenorphine/naloxone, methadone) were identified from the Narcotic Monitoring System (NMS) [<xref ref-type="bibr" rid="ref-42">42</xref>], which contains all dispensed narcotics and controlled substances in Ontario regardless of insurance coverage or type of medication payment.</p>
<p>Maternal demographic information was obtained from two databases: the Registered Persons Database (RPDB) [<xref ref-type="bibr" rid="ref-43">43</xref>] and BORN. The RPDB was used to identify maternal sex, age, rural/urban residence, and neighbourhood income quartile. Data on parity, type of birth, intention to breastfeed, alcohol use in pregnancy, smoking at the time of birth, and delivery date were obtained from BORN. Newborn information was obtained from BORN, including newborn sex, birth weight (grams), newborn resuscitation in the first 30 minutes of life, and 5-minute Apgar score (&lt;7, &#x2265;7). An Apgar score of 7 to 10 is considered to be a reassuring indication of postnatal adaptation after birth [<xref ref-type="bibr" rid="ref-44">44</xref>].</p>
</sec>
<sec>
<title>Outcomes</title>
<p>Data on our study outcomes were obtained from BORN and the Canadian Institute for Health Information (CIHI) Discharge Abstract Database (DAD) [<xref ref-type="bibr" rid="ref-45">45</xref>]. The primary outcome was neonatal withdrawal, indicated by the presence of ICD-10 code P96.1 &#x2018;neonatal withdrawal symptoms from maternal use of drugs of addiction&#x2019;, which is a subcategory of the P96 code &#x2018;conditions originating in the perinatal period&#x2019; on the discharge abstract [<xref ref-type="bibr" rid="ref-45">45</xref>]. The secondary outcome was transfer to the NICU (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 2</xref>).</p>
</sec>
<sec>
<title>Statistical approach</title>
<p>Differences in maternal and newborn characteristics by feeding method were compared using standardized differences where a standardized difference of &gt;10% indicated an imbalance between exposure groups [<xref ref-type="bibr" rid="ref-46">46</xref>]. Maternal age was reported as a mean and standard deviation (SD). Gestational age was categorized as &lt;37 weeks or &#x2265;37 weeks, and 5-minute Apgar scores as 003C7 or &#x2265;7. Type of birth was categorized as vaginal or cesarean. Neighbourhood income was reported in quintiles with 1 being the lowest and 5 being the highest.</p>
<p>To address the imbalance between groups and ensure the similarity of maternal-newborn pairs based on feeding method, we used propensity scores and inverse probability of treatment weights (IPTW) [<xref ref-type="bibr" rid="ref-47">47</xref>]. The covariates listed above were the independent variables in our propensity score logistic models with exclusive breastfeeding versus exclusive formula feeding as the dependent variable (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 3</xref>).</p>
<p>We conducted sensitivity analysis by 1) including only newborns with third trimester SSRI exposure should this be the etiologic exposure for withdrawal [<xref ref-type="bibr" rid="ref-48">48</xref>], and 2) defining exposure as any breastfeeding rather than exclusive should there be a benefit of any breastmilk. The timing of in-utero SSRI medication exposure was determined using the dispensing date and quantity dispensed. The following categories were used: trimester one (conception to 13+6/7 weeks) [<xref ref-type="bibr" rid="ref-49">49</xref>, <xref ref-type="bibr" rid="ref-49">50</xref>], trimester two (14 0/7 weeks to 27+6/7 weeks), trimester three (28+0/7 weeks to end of pregnancy at approx. 40 weeks), or all trimesters [<xref ref-type="bibr" rid="ref-51">51</xref>]. For the latter sensitivity analysis, logistic models were rerun to estimate the propensity score comparing any breastfeeding (i.e. breastmilk +/&#x2212; formula or other breastmilk substitute) versus formula feeding only. For each sensitivity analysis, the balance between groups was assessed and associations between feeding method and study outcomes were compared to those of the primary analysis.</p>
<p>As a post-hoc sensitivity analysis, we excluded NeoWISE in the cohort with in-utero opioid exposure. This was done to explore the contribution of in-utero opioid exposure to the development of symptoms leading to a diagnosis of neonatal withdrawal.</p>
<p>To estimate the treatment effect, we fit a weighted generalized linear regression model to compute a relative risk of treatment with robust standard errors using REPEATED statement in PROC GENMOD. We then estimated the risk ratio (log-link function) between newborn feeding method defined above and newborn withdrawal and the secondary outcome of NICU admission adjusted for confounding. We calculated the E-value according to the method proposed by VanderWeele and Ding [<xref ref-type="bibr" rid="ref-52">52</xref>] as a post-hoc analysis examining where unmeasured confounding explained feeding exposure and NICU admission.</p>
<p>The findings of this study were reported following the <bold>RE</bold>porting of studies Conducted using <bold>O</bold>bservational <bold>R</bold>outinely collected <bold>D</bold>ata for non-interventional <bold>P</bold>harmaco <bold>E</bold>pidemiological research (RECORD-PE) [<xref ref-type="bibr" rid="ref-53">53</xref>].</p>
</sec>
</sec>
<sec>
<title>Results</title>
<p>A total of 9,926 newborns were included in the NeoWISE Cohort (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Figure 1</xref>). This included 9,014 pregnant women who filled at least one prescription for &#x2265;1 SSRIs during pregnancy. Escitalopram (37%) and sertraline (30%) were the most frequent SSRI medication exposures (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 4</xref>). After excluding newborns missing feeding information (n = 2,503), there were 5,079 newborns in the final NeoWISE Cohort with 3,321 (65.4%) exclusively breastfed and 1,758 (34.6%) formula-fed only. Approximately half of the cohort (n = 2,916, 57.4%) had SSRI exposure in trimester three (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 5</xref>). The median maternal age (IQR) of exclusively breastfeeding and formula-feeding newborns was 25 years (22&#x2013;30) and 26 years (22&#x2013;31) respectively.</p>
<p>As shown in <xref ref-type="table" rid="table-1">Table 1</xref>, there were imbalances in NeoWISE by feeding method. In comparison to breastfed newborns, those who were formula-fed were more likely to have older mothers who lived in an urban area, had a lower neighbourhood income quintile, had a previous live birth, reported smoking at the time of delivery, and gave birth by cesarean delivery. Formula-fed newborns had a slightly lower gestational age. These imbalances in maternal and newborn characteristics were balanced after propensity score weighting (<xref ref-type="table" rid="table-1">Table 1</xref>). Maternal-newborn pairs missing neighbourhood income quintile data (n = 18) were excluded.</p>
<table-wrap id="table-1">
<label>Table 1</label><caption><title>Baseline characteristics of maternal-newborn pairs exposed to SSRI in pregnancy in the NeoWISE cohort before and after propensity weighting</title></caption>
<table frame="hsides" rules="groups">
<col width="10%"/>
<col width="10%"/>
<col width="10%"/>
<col width="10%"/>
<col width="15%"/>
<col width="10%"/>
<col width="15%"/>
<col width="10%"/>
<col width="10%"/>
<tbody>
<tr>
<td rowspan="2" align="left" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Variable</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"></td>
<td colspan="3" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Before propensity weighting (n = 5,079)</bold></td>
<td colspan="3" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>After propensity Weighting* (n = 5,061)</bold></td>
</tr>
<tr>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Formula feeding Only N = 1,758, n (%)</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Breastfeeding only N = 3,321, n (%)</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Std Diff</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Formula feeding only N = 1,754 (%)</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Breastfeeding only N = 3,307 (%)</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Diff Std</bold></td>
</tr>
<tr>
<td align="left" valign="top">Maternal age at delivery- mean (years) (SD)</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">26.9 (5.9)</td>
<td align="center" valign="top">26.0 (5.6)</td>
<td align="center" valign="top"><bold>0.155</bold></td>
<td align="center" valign="top">26.2</td>
<td align="center" valign="top">26.2</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top">Maternal smoking at the time of birth</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">781 (44.5)</td>
<td align="center" valign="top">1,053 (31.8)</td>
<td align="center" valign="top"><bold>0.263</bold></td>
<td align="center" valign="top">36.1</td>
<td align="center" valign="top">36.3</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol Exposure in pregnancy</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">37 (2.1)</td>
<td align="center" valign="top">76 (2.3)</td>
<td align="center" valign="top">0.013</td>
<td align="center" valign="top">2.12</td>
<td align="center" valign="top">2.2</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td colspan="8" align="left" valign="top">Exposure 1 year prior to or during pregnancy</td>
</tr>
<tr>
<td align="center" valign="top"></td>
<td align="left" valign="top">Other antidepressant medications</td>
<td align="center" valign="top">445 (25.4)</td>
<td align="center" valign="top">743 (22.5)</td>
<td align="center" valign="top">0.068</td>
<td align="center" valign="top">23.1</td>
<td align="center" valign="top">23.3</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="center" valign="top"></td>
<td align="left" valign="top">Other Psychotropics</td>
<td align="center" valign="top">705 (40.2)</td>
<td align="center" valign="top">1,107 (33.5)</td>
<td align="center" valign="top"><bold>0.140</bold></td>
<td align="center" valign="top">36.0</td>
<td align="center" valign="top">35.8</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="center" valign="top"></td>
<td align="left" valign="top">Opioid</td>
<td align="center" valign="top">457 (26.1)</td>
<td align="center" valign="top">666 (20.1)</td>
<td align="center" valign="top"><bold>0.141</bold></td>
<td align="center" valign="top">21.9</td>
<td align="center" valign="top">22.2</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top">Type of birth (Cesarean)</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">524 (29.9)</td>
<td align="center" valign="top">601 (18.2)</td>
<td align="center" valign="top"><bold>0.276</bold></td>
<td align="center" valign="top">22.4</td>
<td align="center" valign="top">22.3</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Gestational age (&lt;37 weeks)</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">89 (5.1)</td>
<td align="center" valign="top">117 (3.5)</td>
<td align="center" valign="top">0.076</td>
<td align="center" valign="top">4.0</td>
<td align="center" valign="top">4.1</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Previous live birth(s)</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">1,246 (71.0)</td>
<td align="center" valign="top">2,025 (61.2)</td>
<td align="center" valign="top"><bold>0.208</bold></td>
<td align="center" valign="top">65.2</td>
<td align="center" valign="top">64.8</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Nearest Census-Based Neighbourhood Income Quintile*</td>
<td align="left" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">418 (23.8)</td>
<td align="center" valign="top">793 (24.0)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">23.7</td>
<td align="center" valign="top">23.9</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">262 (14.9)</td>
<td align="center" valign="top">519 (15.7)</td>
<td align="center" valign="top">0.021</td>
<td align="center" valign="top">15.4</td>
<td align="center" valign="top">15.4</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">4</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">147 (8.4)</td>
<td align="center" valign="top">370 (11.2)</td>
<td align="center" valign="top">0.095</td>
<td align="center" valign="top">10.5</td>
<td align="center" valign="top">10.3</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">5</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">88 (5.0)</td>
<td align="center" valign="top">236 (7.1)</td>
<td align="center" valign="top">0.089</td>
<td align="center" valign="top">6.6</td>
<td align="center" valign="top">6.4</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top">Living in a rural area</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">245 (14.0)</td>
<td align="center" valign="top">370 (18.2)</td>
<td align="center" valign="top"><bold>0.116</bold></td>
<td align="center" valign="top">17.1</td>
<td align="center" valign="top">16.8</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Elixhauser co-morbidity Index Score</td>
<td align="center" valign="top"></td>
<td align="left" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">84 (4.8)</td>
<td align="center" valign="top">118 (3.6)</td>
<td align="center" valign="top">0.061</td>
<td align="center" valign="top">3.9</td>
<td align="center" valign="top">3.9</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top"></td>
<td align="center" valign="top">35 (2.0)</td>
<td align="center" valign="top">46 (1.4)</td>
<td align="center" valign="top">0.047</td>
<td align="center" valign="top">1.7</td>
<td align="center" valign="top">1.7</td>
<td align="center" valign="top">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>*n = 18 were missing information on neighbourhood income and were excluded from the propensity score analysis.</p>
</table-wrap-foot>
</table-wrap>
<p>The risk of neonatal withdrawal was similar in exclusively breastfed newborns as compared with formula-fed newborns unadjusted (1.5% vs 2.3%, RR = 0.66, 95% CI 0.44, 1.00) and adjusted models (adjRR = 0.86, 95% CI = 0.56, 1.34) (<xref ref-type="table" rid="table-2">Table 2</xref>). In terms of the secondary outcome, there was a lower risk of transfer to the NICU among breastfed newborns as compared with formula-fed newborns in both the unadjusted and adjusted models (7.2% vs 10.8%, adjRR = 0.80, 95% CI = 0.66, 0.97) (<xref ref-type="table" rid="table-2">Table 2</xref>). Based on the E-value, an unmeasured confounder with 1.21-fold association with feeding and NICU admission could account for our observed findings.</p>
<table-wrap id="table-2">
<label>Table 2</label><caption><title>Unadjusted and adjusted relative risk between feeding method and neonatal withdrawal</title></caption>
<table frame="hsides" rules="groups">
<col width="10%"/>
<col width="10%"/>
<col width="15%"/>
<col width="10%"/>
<col width="15%"/>
<col width="10%"/>
<col width="15%"/>
<tbody>
<tr>
<td rowspan="2" align="left" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Analysis</bold></td>
<td rowspan="2" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Outcome</bold></td>
<td rowspan="2" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Feeding method</bold></td>
<td rowspan="2" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>No outcome n (%)</bold></td>
<td rowspan="2" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Had outcome n (%)</bold></td>
<td colspan="2" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Risk ratio (95% CI)</bold></td>
</tr>
<tr>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Unadjusted</bold></td>
<td align="center" style="border-top: solid 1pt; border-bottom: solid 1pt;" valign="middle"><bold>Adjusted<sup>a</sup></bold></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Primary Cohort (N = 5,079)</bold></td>
<td align="left" valign="top">Neonatal Withdrawal*</td>
<td align="left" valign="top">Formula feeding only</td>
<td align="center" valign="top">1,717 (97.7)</td>
<td align="center" valign="top">41 (2.3)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"></td>
<td align="left" valign="top">Breastfeeding only</td>
<td align="center" valign="top">3,271 (98.5)</td>
<td align="center" valign="top">50 (1.5)</td>
<td align="center" valign="top">0.66 (0.44, 1.00)</td>
<td align="center" valign="top">0.86 (0.56, 1.34)</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top">Transfer to the NICU**</td>
<td align="left" valign="top">Formula feeding only</td>
<td align="center" valign="top">1,569 (89.2)</td>
<td align="center" valign="top">189 (10.8)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"></td>
<td align="left" valign="top">Breastfeeding only</td>
<td align="center" valign="top">3,083 (92.8)</td>
<td align="center" valign="top">238 (7.2)</td>
<td align="center" valign="top"><bold>0.67 (0.56, 0.80)</bold></td>
<td align="center" valign="top"><bold>0.80 (0.66, 0.97)</bold></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Sensitivity: 3<sup>rd</sup> Trimester SSRI exposed only (N = 2,916)</bold></td>
<td align="left" valign="top">Neonatal Withdrawal*</td>
<td align="left" valign="top">Formula feeding only</td>
<td align="center" valign="top">958 (96.8)</td>
<td align="center" valign="top">32 (3.2)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"></td>
<td align="left" valign="top">Breastfeeding only</td>
<td align="center" valign="top">1,891 (98.2)</td>
<td align="center" valign="top">35 (1.8)</td>
<td align="center" valign="top"><bold>0.56 (0.35, 0.90)</bold></td>
<td align="center" valign="top">0.77 (0.47, 1.28)</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top">Transfer to the NICU**</td>
<td align="left" valign="top">Formula feeding only</td>
<td align="center" valign="top">865 (87.4)</td>
<td align="center" valign="top">125 (12.6)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"></td>
<td align="center" valign="top">Breastfeeding only</td>
<td align="center" valign="top">1,756 (91.2)</td>
<td align="center" valign="top">170 (8.8)</td>
<td align="center" valign="top"><bold>0.70 (0.56, 0.87)</bold></td>
<td align="center" valign="top">0.83 (0.66, 1.04)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Sensitivity: Any Breastfeeding included (N = 7,420)</bold></td>
<td align="left" valign="top">Neonatal Withdrawal*</td>
<td align="left" valign="top">Formula feeding only</td>
<td align="center" valign="top">1,717 (97.7)</td>
<td align="center" valign="top">41 (2.3)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"></td>
<td align="left" valign="top">Any Breastfeeding</td>
<td align="center" valign="top">5,556 (98.1)</td>
<td align="center" valign="top">106 (1.9)</td>
<td align="center" valign="top">0.80 (0.56, 1.15)</td>
<td align="center" valign="top">0.96 (0.66, 1.40)</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top">Transfer to the NICU**</td>
<td align="left" valign="top">Formula feeding only</td>
<td align="center" valign="top">1,569 (89.2)</td>
<td align="center" valign="top">189 (10.8)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"></td>
<td align="left" valign="top">Any Breastfeeding</td>
<td align="center" valign="top">5,112 (90.3)</td>
<td align="center" valign="top">550 (9.7)</td>
<td align="center" valign="top">0.90 (0.77, 1.06)</td>
<td align="center" valign="top">0.93 (0.79, 1.10)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>*ICD-10 P96.1(data source: Discharge Abstract Database (DAD)).</p>
<p>**Combined admissions to Neonatal Intensive Care Unit (NICU) and Special Care Nursery (SCN) (data source: Discharge Abstract Database (DAD)).</p>
<p><sup>a</sup>Propensity Score weighted using IPTW with covariates adjustment for gestational age, type of birth, parity, maternal age, neighbourhood income quintiles, other antidepressants (non-SSRIs), psychotropic medications, opioid use, alcohol exposure in pregnancy, smoking at time of birth, rurality, and Elixhauser co-morbidity index.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<title>Sensitivity analysis</title>
<p>In the sensitivity analysis restricting the NeoWISE Cohort to only those with third-trimester SSRI exposure, the risk of withdrawal in exclusively breastfed versus formula-fed newborns (1.8% vs 3.2 %, adjRR = 0.77, 95% CI 0.47, 1.28) was similar to our primary result. Associations with the risk of transfer to the NICU in only third trimester SSRI exposure were similar (adjRR = 0.83, 95% CI 0.66, 1.04) although no longer statistically different, likely reflecting the smaller sample size and power (<xref ref-type="table" rid="table-2">Table 2</xref>).</p>
<p>In the sensitivity analysis comparing any amount of breastfeeding (+/&#x2212;formula or breastmilk substitute) versus formula feeding only, there was no difference in risk of neonatal withdrawal (1.9% vs 2.3%, adjRR = 0.96, 95% CI = 0.66, 1.40) nor risk of transfer to NICU (9.7% vs 10.8%, adjRR = 0.93, 95% CI = 0.79, 1.10) (see <xref ref-type="table" rid="table-2">Table 2</xref>). We excluded NeoWISE in the cohort with in-utero opioid exposure (n = 457 formula-fed only and n= 666 exclusively breastfed). This sensitivity analysis confirmed no association between newborn feeding method and neonatal withdrawal diagnosis when newborns with in-utero opioid exposure were excluded in the unadjusted (RR = 1.03, 95% CI 0.49, 2.18) and adjusted models (RR = 1.16, 95% CI 0.54, 2.52); wider confidence interval were noted.</p>
</sec>
</sec>
<sec>
<title>Discussion</title>
<p>In our population-based NeoWISE Cohort, there was an overall low risk of neonatal withdrawal and no difference in risk among exclusively breastfed and formula-fed newborns. This finding persisted in both sensitivity analyses. Our finding regarding the low prevalence of neonatal withdrawal contrasts with the results of higher rates in other studies, ranging from 11.2% to 63.2% [<xref ref-type="bibr" rid="ref-11">11</xref>, <xref ref-type="bibr" rid="ref-25">25</xref>, <xref ref-type="bibr" rid="ref-39">39</xref>, <xref ref-type="bibr" rid="ref-54">54</xref>&#x2013;<xref ref-type="bibr" rid="ref-57">57</xref>]. The vast differences in withdrawal prevalence may be attributed to the outcome variable definition, the method used to identify withdrawal signs in newborns with in-utero AD exposure, and the selected cut-off scores. In a recent population-based cohort study in the USA, Cornet et al. reported that 11.2% of newborns with exposure to SSRIs after 20 weeks gestation had delayed neonatal adaptation; delayed neonatal adaptation was defined as a 5-mins Apgar score &#x2264;5, resuscitation at birth, or admission to the NICU for respiratory support. Levinson-Castiel et al. reported neonatal abstinence syndrome occurring in 30% of newborns, 13% of whom had severe symptoms, in their cohort study of newborns exposed to SSRIs or venlafaxine [<xref ref-type="bibr" rid="ref-55">55</xref>]. Neonatal abstinence syndrome was identified by a Finnegan score of &#x2265;8 as severe, 4&#x2013;7 as mild and 0&#x2013;3 as normal [<xref ref-type="bibr" rid="ref-55">55</xref>]. Oberlander et al. [<xref ref-type="bibr" rid="ref-39">39</xref>] and Chambers et al. [<xref ref-type="bibr" rid="ref-11">11</xref>] reported similar rates of approximately 30%.</p>
<p>Ferreria et al. reported that 63.2% had one or more neonatal behavioural signs in their retrospective chart study of newborns with in-utero SSRI or venlafaxine exposure (n = 79) [<xref ref-type="bibr" rid="ref-56">56</xref>]. Kieviet et al. reported a rate of 64% of newborns diagnosed with withdrawal and 20% of these had severe symptoms in their observational cohort study of newborns (n = 247) in the Netherlands with at least third-trimester in-utero exposure to serotonergic AD exposure (i.e. SSRI, SNRI, or NaSSA), [<xref ref-type="bibr" rid="ref-25">25</xref>]. Withdrawal was defined as at least one Finnegan score of &#x2265;4 during the inpatient hospitalization, with &#x2265;4 being mild and &#x2265;8 being severe withdrawal [<xref ref-type="bibr" rid="ref-25">25</xref>].</p>
<p>It is not possible to know how clinicians assessed the newborns in our study; however, the threshold to identify withdrawal may have been higher than prior studies given our lower rate of withdrawal. Clinicians may be using clinical practice guidelines that were intended for caring for newborns with opioid exposure to inform their clinical care and management of newborns with other in-utero substance exposures, given that no validated instrument exists to assess for the presence of neonatal SSRI withdrawal. For example, according to an Ontario guideline, if newborns were assessed using the &#x2018;Finnegan Neonatal Abstinence Scoring System&#x2019; and there were three consecutive scores &#x2265;8 or a score of &#x2265;12 (either an average of 2 scores or two consecutive scores of &#x2265;12) [<xref ref-type="bibr" rid="ref-58">58</xref>], they may have received a diagnosis of withdrawal and thus be assigned the P96.1 diagnosis code. This higher threshold may have contributed to our study&#x2019;s observed low rate of withdrawal.</p>
<p>In a secondary analysis of two observational studies (n = 214), Yang et al. [<xref ref-type="bibr" rid="ref-59">59</xref>] reported that 33% of newborns had withdrawal signs which were significantly higher in preterm as compared to full-term newborns (54% vs 31%, p = 0.020) [<xref ref-type="bibr" rid="ref-59">59</xref>]. Only 1.4% of newborns in their study were noted to have a Finnegan score of &#x2265;8 indicating the need for intervention, with restless sleep, tremors and mottling as the most common withdrawal signs reported [<xref ref-type="bibr" rid="ref-59">59</xref>]. Their findings of a 1.4% rate of withdrawal signs [<xref ref-type="bibr" rid="ref-59">59</xref>] is more consistent with our study results (1.5% and 2.3% for exclusively breastfed and formula-fed newborns, respectively). Our study included both term and preterm newborns.</p>
<p>The setting may also have influenced study results. Participants recruited by Kieviet et al. [<xref ref-type="bibr" rid="ref-25">25</xref>] were from a psychiatric, obstetric and paediatric clinic that included providers with psychiatric disorder expertise. It is possible that these participants had more severe perinatal mental health disorders as compared to our population-based sample where mothers were beneficiaries of a publicly funded drug benefit program. Study participants receiving care at the specialized centre described by Kieviet et al. [<xref ref-type="bibr" rid="ref-25">25</xref>] may have had more focused assessment and monitoring during their postnatal inpatient stay than our study participants. In Ontario, there are few integrated perinatal mental health programs and the existing programs are predominantly provided on an outpatient basis [<xref ref-type="bibr" rid="ref-60">60</xref>]. Therefore, we can assume that most newborns in our study likely received the same routine monitoring and care as newborns unexposed to SSRIs.</p>
<p>During our study timeframe, the Ontario Government provided concerted efforts to implement the &#x2018;Baby Friendly Initiative&#x2019;(BFI) [<xref ref-type="bibr" rid="ref-61">61</xref>&#x2013;<xref ref-type="bibr" rid="ref-63">63</xref>]. The BFI recommendations include providing skin-to-skin contact for all newborns regardless of feeding method, promoting and encouraging maternal-newborn togetherness, and initiating early and frequent breastfeeding, to name a few. Efforts to implement these evidence-based practices in Ontario hospitals may have contributed to sustaining the higher rate of exclusive breastfeeding (65.3%) observed in our study compared to the rates reported by Kieviet et al. [<xref ref-type="bibr" rid="ref-25">25</xref>] (43.3% (n = 107) breastfeeding, 18.2% (n = 45) formula feeding and 38.5% (n = 95) mixed feeding).</p>
<p>We hypothesized that breastfeeding might confer a significant risk reduction for newborn withdrawal given that Kieviet et al., had reported that formula-feeding newborns in their study were three times as likely to have withdrawal as compared to newborns who were breastfed or received mixed feeds (OR = 3.16, 95% CI 1.40, 7.13) [<xref ref-type="bibr" rid="ref-25">25</xref>]. The overall low rate of withdrawal signs observed in our study may be due to newborns receiving non-pharmacological support (e.g. skin-to-skin contact, rooming-in, breastfeeding), which has been reported to be effective in reducing the severity of withdrawal among opioid exposed newborns [<xref ref-type="bibr" rid="ref-26">26</xref>&#x2013;<xref ref-type="bibr" rid="ref-28">28</xref>]. Formula-fed newborns in our study likely received benefits from some of these non-pharmacologic interventions, which could have partially affected our study result of no difference in risk of withdrawal by feeding method. Additionally, we defined our cohort as exposure to any SSRI, while Kieviet et al. [<xref ref-type="bibr" rid="ref-25">25</xref>, <xref ref-type="bibr" rid="ref-25">64</xref>] included multiple medication categories (i.e. SSRIs, SNRIs, NaSSA).</p>
<p>Serotonergic antidepressants have different pharmacokinetic properties, and thus, they are likely to impact the exposed newborn differently after birth. Cornet et al. [<xref ref-type="bibr" rid="ref-54">54</xref>] suggested that there may be a causal relationship between type and dose of SSRI medication exposure and risk of delayed neonatal adaptation, although research is required to identify the mechanism underlying this relationship [<xref ref-type="bibr" rid="ref-54">54</xref>]. These authors did not include feeding method as a variable in their analysis; however, they acknowledged that the effect of sudden discontinuation of SSRI exposure after birth as compared with continuous exposure via breast milk was an area of investigation they did not evaluate [<xref ref-type="bibr" rid="ref-54">54</xref>].</p>
<sec>
<title>Transfer to the Neonatal Intensive Care Unit</title>
<p>In our study, we found a lower risk of NICU transfers in exclusively breastfed compared with formula-fed NeoWISE. However, this finding did not persist in sensitivity analyses when examining outcomes for NeoWISE with any breastfeeding. While the maternal-newborn dyads were balanced following propensity score adjustment using IPTW minimized confounding, it is possible that conditioning on exclusive breastfeeding in our primary analysis may have caused selection bias on our association with NICU admission. The use of exclusive breastfeeding as an exposure likely selected healthier maternal-newborn dyads for inclusion in our study, with no such conditioning on the formula-fed; these exclusively breastfed newborns would be less likely to be admitted to the NICU for any reason.</p>
<p>The proportion of newborns requiring NICU admisison was lower in our cohort than in others. Kieviet et al. [<xref ref-type="bibr" rid="ref-25">25</xref>] found an overall NICU admission rate of 29% (n = 45/157), with 3% of these newborns transferred due to severe symptoms of withdrawal. In contrast, Gorman et al. [<xref ref-type="bibr" rid="ref-65">65</xref>] conducted a prospective cohort study (n = 466) of women taking SSRIs at some point during pregnancy who called a teratogen information service over a 10-year period. There was a small difference in the rate of admission to the NICU between newborns with SSRI exposure before delivery (8.6%), SSRI exposure at delivery (14.4%), and no exposure to SSRIs (8.2%) (p = 0.13) [<xref ref-type="bibr" rid="ref-65">65</xref>]. Variations in hospital policies related to transfer to NICU may alter the frequency of this outcome.</p>
<p>Other potential reasons for transfer to the NICU can be proposed. In a recent systematic review and meta-analysis, exposure to in-utero serotonin reuptake inhibitors (i.e. SSRI or SNRI) was associated with an increased risk for convulsions (OR = 3.25, p = 0.0002), hypoglycemia (OR = 1.65, p &lt; 0.0001), temperature dysregulation (OR = 1.75, p = 0.004) and respiratory problems (OR = 1.96, p &lt; 0.0001) in newborns as compared to newborns born to healthy controls, defined as healthy women or women with major depressive disorder but not taking in-utero serotonergic medication [<xref ref-type="bibr" rid="ref-66">66</xref>]. Of relevance to our study, the authors also reported an increased risk of feeding problems (OR = 2.25, p = 0.031) [<xref ref-type="bibr" rid="ref-66">66</xref>]. Other authors have reported that in-utero SSRI exposure impacted newborn feeding as evidenced by feeding/ digestive disturbances [<xref ref-type="bibr" rid="ref-14">14</xref>], desaturation on feeding [<xref ref-type="bibr" rid="ref-11">11</xref>], and poor suck necessitating tube feeding [<xref ref-type="bibr" rid="ref-14">14</xref>]. NeoWISE in our study who received any breastfeeding may have had a similar medical complexity as formula-fed newborns and thus were at no greater risk of transfer to the NICU.</p>
<p>Additionally, it is possible that maternal body mass index could have moderated the observed association between feeding and NICU transfer [<xref ref-type="bibr" rid="ref-67">67</xref>]. Suk et al. reported that women with a BMI &lt; 30 as compared with a BMI &#x2265; 30 had a greater odd of newborn admission to the NICU (OR = 1.39, p = 0.045); there was a stronger association when comparing women with a BMI &#x2265; 35 (OR = 1.76, p = 0.006) [<xref ref-type="bibr" rid="ref-67">67</xref>]. We were unable to include body mass index as a covariate due to a high level of missing data. However, we attempted to control for pre-existing maternal health issues using the Elixhauser co-morbidity index which includes obesity and other diagnoses associated with elevated BMI (e.g. diabetes, hypertension).</p>
</sec>
<sec>
<title>Third-trimester SSRI exposure</title>
<p>There are discrepancies in the literature regarding the impact of third-trimester SSRI exposure and the risk for neonatal withdrawal, with some studies showing an association with newborn withdrawal signs [<xref ref-type="bibr" rid="ref-13">13</xref>, <xref ref-type="bibr" rid="ref-39">39</xref>, <xref ref-type="bibr" rid="ref-48">48</xref>, <xref ref-type="bibr" rid="ref-68">68</xref>, <xref ref-type="bibr" rid="ref-69">69</xref>]. In a review, third-trimester SSRIs exposure was significantly associated with an increased incidence of neonatal behavioural syndrome, which are serotonin withdrawal-like symptoms (OR = 3.0, 95% CI, 2.0, 4.4) [<xref ref-type="bibr" rid="ref-14">14</xref>]. Our findings do not confirm this association when relevant covariates were taken into account.</p>
<p>The results of our study suggest that feeding method is not associated with an increased risk of neonatal withdrawal diagnosis. This is not to discount the presence of transient neonatal behavioural signs, which should not be disregarded. The increased likelihood of irritability, crying, and sleep disturbances could be distressing to mothers, even if for a short duration, and anticipatory guidance should be provided. Given that women have reported concerns about taking medication during pregnancy and breastfeeding, health care providers have an essential role in sharing evidence-based information. Health care providers can use these findings along with the extant literature and have greater confidence to support women&#x2019;s preferred feeding method when counselling expectant parents about postnatal newborn care.</p>
</sec>
</sec>
<sec>
<title>Strengths &amp; limitation</title>
<p>Strengths of our study include the large sample size of NeoWISE compared to other cohorts; the use of a population-based cohort study design that linked multiple health administrative databases and validated registries; and IPTW of propensity scores to balance differences in baseline characteristics related to newborn feeding methods minimizing confounding bias [<xref ref-type="bibr" rid="ref-46">46</xref>].</p>
<p>This study has some limitations. The cohort was restricted to women on ODB as this was the only record of SSRI prescription claims in ICES. The results are likely not generalizable given that the study cohort represents less than 1% of the population of births in Ontario within the study timeframe, and thus, different effects of breastfeeding may be observed in the larger pregnancy population. The NeoWISE cohort was much younger than the general population of childbearing women in Ontario (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 6</xref>). Women with a lower income, a younger age, and poor mental health are at increased risk of poor breastfeeding outcomes [<xref ref-type="bibr" rid="ref-70">70</xref>]. Additional maternal and newborn characteristics associated with low rates of breastfeeding include primiparous, unmarried, low social support, maternal obesity, diabetes during pregnancy, smoking during pregnancy, cesarean birth, preterm infant, admission to the NICU, and formula supplementation in hospital [<xref ref-type="bibr" rid="ref-70">70</xref>]. Regardless of these potential barriers, we observed that the majority of mothers in our cohort of ODB recipients were either exclusively breastfeeding or mixed feeding at the time of postnatal hospital discharge.</p>
<p>We did not collect data on maternal mental health diagnoses or the severity of mental health concerns. SSRI medications are primarily prescribed to treat depression, as observed in other retrospective studies [<xref ref-type="bibr" rid="ref-56">56</xref>]. However, SSRIs have also been used as a first-line pharmacotherapy for many other psychiatric disorders. It is possible that NeoWISE who were exposed to SSRIs through the entire pregnancy (n = 1,636, 32.2%) had mothers with more severe mental health concerns, and this may have influenced observed associations. Off label SSRI prescribing has been reported for binge eating disorders, body dysmorphic disorder, fibromyalgia, paraphilias, autism, and Raynaud phenomenon [<xref ref-type="bibr" rid="ref-71">71</xref>], although these are likely rare occurrences in the perinatal population.</p>
<p>While there were no guideline changes in medication prescribing or treatment for perinatal mental health disorders during the study timeframe, the prescribing practices of health care providers may have evolved as more information became available on the risks/benefits of various psychotropics. By using medication dispensing data, we reduced bias due to confounding by indication by selecting only pregnant women who were dispensed an SSRI medication, and we were able to conduct sensitivity analysis comparing any SSRI exposure during pregnancy versus third trimester SSRI exposure. Although we were able to identify the trimester in which the SSRI medication was dispensed by using data obtained from the ODB, it is not possible to know for certain if the mother took the medication as prescribed. Therefore, medication exposure may have been misclassification when assembling the study cohort.</p>
<p>Data were limited to variables that were available in health administrative databases. The specific withdrawal signs of the newborns in our study are unknown, given that a diagnostic code (P96.1) was used as the primary outcome. As a result, we have likely underestimated the incidence of withdrawal given that the P96.1 variable may have reduced sensitivity to identify newborns who are experiencing minor adverse reactions following in-utero SSRI exposure. Numerous authors have reported that some of the most common signs of withdrawal include tremors, irritability, crying, sleep disturbances, increased moro reflex [<xref ref-type="bibr" rid="ref-13">13</xref>, <xref ref-type="bibr" rid="ref-14">14</xref>, <xref ref-type="bibr" rid="ref-56">56</xref>, <xref ref-type="bibr" rid="ref-72">72</xref>&#x2013;<xref ref-type="bibr" rid="ref-74">74</xref>] and these are not variables in health administrative databases. Furthermore, the P96.1 diagnosis code is non-specific to SSRI exposure, so all clinicians may not use it. Currently, no variable exists in health administrative databases for SSRI exposure.</p>
</sec>
<sec>
<title>Future research</title>
<p>To date, past research has many limitations, including the predominant use of case review methodology, small sample sizes, self-reported adverse outcomes, and a lack of long-term follow-up [<xref ref-type="bibr" rid="ref-75">75</xref>]. Pharmacoepidemiologic studies require more robust breastfeeding data. Jordan et al. [<xref ref-type="bibr" rid="ref-76">76</xref>] emphasized the need for quality breastfeeding data in population health databases to enable pharmacoepidemiologists to explore relationships between medication exposures, breastfeeding, and short and long-term newborn outcomes. Health care providers can strive to ensure complete and accurate documentation of newborn feeding; audit and feedback cycles may be useful to demonstrate progress in this area. Additional methods of capturing newborn feeding data are warranted. A prospective cohort study design may facilitate improved data collection on essential variables such as mental health status, medication history, newborn feeding details, and neonatal behavioural/withdrawal signs. More rigorous data collection would improve surveillance and reporting of adverse outcomes, mainly to obtain a more precise estimate of the withdrawal prevalence in the NeoWISE.</p>
<p>Future researchers should consider creating a core outcome set of variables reflecting the most common signs of SSRI withdrawal, as has been done for in-utero opioid exposure [<xref ref-type="bibr" rid="ref-77">77</xref>]. Wang and Cosci have proposed a framework that is worth consideration [<xref ref-type="bibr" rid="ref-78">78</xref>]; transient neonatal behavioural signs, which may impact newborn feeding ability, will need to be integrated. This promising research direction may improve the sensitivity and specificity of identifying newborns with clinically relevant withdrawal. Finally, capturing parent-reported observations in future research studies would be particularly important. Qualitative studies exploring the parental experience of caring for NeoWISE may provide insightful guidance for clinical care, particularly regarding the pre- and postnatal support women require to achieve their desired newborn feeding goals.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In this study, we report an overall low risk of neonatal withdrawal, and no difference in risk among breastfed compared with formula-fed NeoWISE. We also observed a possible reduced risk of transfer to the NICU in breastfed newborns. The findings of this study contribute to the extant literature, which indicates that perinatal women who take SSRI medications can be supported in their preferred newborn feeding method with the appropriate monitoring for newborn well-being. Pregnant and breastfeeding families need to receive anticipatory guidance about potential signs of withdrawal in the NeoWISE and when to seek health care after birth.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Files</title>
<supplementary-material id="sup-a">
<label>Supplementary Figures and Tables</label>
<media mimetype="application" mime-subtype="pdf" xlink:href="ijpds-06-2458-s001.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health (MOH) and the Ministry of Long-Term Care (MLTC). This study also received funding from a Canadian Institutes of Health Research (CIHR) doctoral research award (C. Cantin). We thank IQVIA Solutions Canada Inc. for use of their Drug Information File. This study is based in part on data provided by Better Outcomes Registry and Network (&#x201C;BORN&#x201D;), part of the Children&#x2019;s Hospital of Eastern Ontario. The interpretation and conclusions contained herein do not necessarily represent those of BORN Ontario. This document used data adapted from the Statistics Canada Postal CodeOM Conversion File, which is based on data licensed from Canada Post Corporation, and/or data adapted from the Ontario Ministry of Health Postal Code Conversion File, which contains data copied under license from &#x00A9;Canada Post Corporation and Statistics Canada. Parts of this material are based on data and information compiled and provided by the Ontario Ministry of Health, the Canadian Institute for Health Information (CIHI), and the Registrar General through Service Ontario. The analyses, conclusions, opinions, and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended nor should be inferred.</p>
<p>The data set from this study is held securely in coded form at ICES. While data sharing agreements prohibit ICES from making the data set publicly available, access may be granted to those who meet pre-specified criteria for confidential access, available at <uri>www.ices.on.ca/DAS</uri>. The full data set creation plan and underlying analytic code are available from the authors upon request, understanding that the programs may rely upon coding templates or macros that are unique to ICES.</p>
<p>We wish to acknowledge <bold>Dr. Jasmine Gandhi</bold>, Perinatal Psychiatrist at The Ottawa Hospital, and <bold>Dr. Rebecca Hoban</bold>, staff neonatologist, Associate Professor of Pediatrics, and Director of Breastfeeding Medicine at the University of Washington Division of Neonatology; Drs. Gandhi and Hoban provided expert guidance and input related to psychotropic medications for perinatal women and clinical management of the NeoWISE respectively.</p>
<p>C. Cantin expresses her sincere gratitude for the opportunity to be a trainee in the second cohort of the <bold>Canadian Mother-Child Collaborative Training Program (CAMCCO-L)</bold>. She wishes to thank <bold>Dr. Anik B&#x00E9;rard</bold>, lead for CAMCCO-L, <bold>Claudie Turcotte,</bold> CAMCCO-L program coordinator, and all the faculty who shared their expertise. In particular, C. Cantin would like to acknowledge her CAMCCO-L mentor, <bold>Dr. Micheline Piquette-Miller, Professor and Associate Dean of Research at the Leslie Dan Faculty of Pharmacy, University of Toronto</bold> who provided helpful guidance about pharmacological considerations related to this study.</p>
</ack>
<sec>
<title>Ethics statement</title>
<p>This study was approved by the Queen&#x2019;s Health Sciences and Affiliated Teaching Hospitals Research Ethics Board (REB NURS-576-23).</p>
</sec>
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<glossary>
<title>Abbreviations</title>
<array>
<tbody>
<tr>
<td>AD</td>
<td>Antidepressant</td>
</tr>
<tr>
<td>NAS</td>
<td>Neonatal Abstinence Syndrome</td>
</tr>
<tr>
<td>NaSSA</td>
<td>Noradrenergic and Specific Serotonergic Antidepressants</td>
</tr>
<tr>
<td>NeoWISE</td>
<td><bold>Neo</bold>nates <bold>W</bold>ith <bold>I</bold>n-utero <bold>S</bold>SRI <bold>E</bold>xposure</td>
</tr>
<tr>
<td>NICU</td>
<td>Neonatal Intensive Care Unit</td>
</tr>
<tr>
<td>NOWS</td>
<td>Neonatal Opioid Withdrawal Syndrome</td>
</tr>
<tr>
<td>SNRI</td>
<td>Serotonin and Noradrenaline Reuptake Inhibitors</td>
</tr>
<tr>
<td>SSRI</td>
<td>Selective Serotonin Reuptake Inhibitor</td>
</tr>
</tbody>
</array>
</glossary>
</back>
</article>