<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2018.811094</article-id><article-id pub-id-type="publisher-id">OJOG-87094</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Association of Hypertension and &lt;i&gt;β&lt;/i&gt;-Blocker Use with Depression during Pregnancy
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alicia</surname><given-names>M. McCarthy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ying</surname><given-names>Zhou</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marci</surname><given-names>Adams</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rita</surname><given-names>Elue</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nicole</surname><given-names>Diaz</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Beth</surname><given-names>A. Plunkett</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Department of Obstetrics and Gynecology, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA</addr-line></aff><aff id="aff1"><addr-line>Department of Maternal Fetal Medicine, Kaiser Permanente Medical Center, Walnut Creek, CA, USA</addr-line></aff><aff id="aff2"><addr-line>Research Institute, NorthShore University HealthSystem, Evanston, IL, USA</addr-line></aff><aff id="aff3"><addr-line>Department of Obstetrics and Gynecology, NorthShore University HealthSystem, Evanston, IL, USA</addr-line></aff><pub-date pub-type="epub"><day>03</day><month>09</month><year>2018</year></pub-date><volume>08</volume><issue>11</issue><fpage>925</fpage><lpage>935</lpage><history><date date-type="received"><day>25,</day>	<month>July</month>	<year>2018</year></date><date date-type="rev-recd"><day>1,</day>	<month>September</month>	<year>2018</year>	</date><date date-type="accepted"><day>4,</day>	<month>September</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Objective: 
  To
   
  evaluate the association between hypertension and β-blocker (BB) use and antepartum depression risk. <b>Patients and Methods:</b> We conducted a retrospective cohort study of women who delivered within our integrated health system between 2009 and 2015, and completed an Edinburgh Postnatal Depression Scale (EPDS) during pregnancy. Increased depression risk was defined as EPDS score ≥ 10, or an affirmative answer to question ten, endorsing self-harm. Antepartum hypertension was determined by blood pressure measurements and
   
  provider ICD-9 codes. Regression analyses examined the independent associations of
   
  BB use and hypertension on antepartum depression risk. <b>Results:</b> Of 9192 deliveries during the study time frame, 5% were hypertensive. Within the hypertensive group, 103 (22%) used a single agent BB (BB Group), 325 (68%) required no antihypertensive medication (No-Med Group), and 48 (10%) used
   
  a non-BB single agent or multi-agent therapy (All-Other Group). After adjusting for covariates, compared to normotensive pregnancies, antepartum hypertension was significantly associated with both EPDS score ≥ 10 (adjusted odds ratio
   
  [aOR] 1.61, 95% confidence interval [CI] 1.17
   
  -
   
  2.21) and endorsement of self-harm (aOR 1.76, 95% CI 1.05
   
  -
   
  2.95). In further analyses of depression risk in hypertensive pregnancies, there was no difference between the BB Group and No-Med Group (EPDS score ≥ 10, aOR 1.22, 95% CI 0.56
   
  -
   
  2.63; self-harm, aOR 0.84, 95% CI 0.32
   
  -
   
  2.21), or between the All-Other Group and No-Med Group (EPDS ≥
   
  10,
   
  aOR 1.42, 95% CI 0.57
   
  -
   
  3.54; self-harm,
   
  aOR 1.04, 95% CI 0.29
   
  -
   
  3.74).
   
  <b>Conclusion: </b>
  Women with antepartum hypertension have increased risk for depression and thoughts of self-harm. β-Blocker use is not associated with further increased risk.
 
</p></abstract><kwd-group><kwd>&lt;i&gt;β&lt;/i&gt;-Blocker</kwd><kwd> Depression</kwd><kwd> Hypertension</kwd><kwd> Labetalol</kwd><kwd> Pregnancy</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Depression and hypertension constitute two major morbidities of pregnancy. Depression is the most frequent mood disorder in the general population, and the prevalence of depression increases during pregnancy, likely impacting more than 12% of women during the second and third trimesters [<xref ref-type="bibr" rid="scirp.87094-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref3">3</xref>] . Hypertension is estimated to impact up to 10% of pregnancies worldwide and is a major contributor to maternal mortality [<xref ref-type="bibr" rid="scirp.87094-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref5">5</xref>] . In 2006, 8% of deliveries in the United States were affected by hypertensive disorders [<xref ref-type="bibr" rid="scirp.87094-ref6">6</xref>] . Previous studies have suggested interplay between these morbidities, such that a diagnosis of hypertension increases risk of developing depression, and vice versa [<xref ref-type="bibr" rid="scirp.87094-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref8">8</xref>] . The association between anti-hypertensive medications and depression has also gained public health interest. Some research in non-obstetric populations suggests that β-blocker (BB) use may be associated with depression and depressive symptoms [<xref ref-type="bibr" rid="scirp.87094-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref12">12</xref>] .</p><p>Initial concern linking depression and beta-adrenergic antagonists was generated in 1967, whereupon Waal reported a particularly high incidence of depression in a cohort of patients using propranolol, a highly lipophilic beta-blocker (BB), for antiarrhythmic therapy [<xref ref-type="bibr" rid="scirp.87094-ref11">11</xref>] . Since this initial report, numerous studies have further investigated, with mixed results, the depressogenic effects of BBs. The existence of beta-adrenergic receptors within the brain and cross-talk between BBs and serotonergic receptors in the brain yields biologic plausibility to the relationship between depression and beta-blockers [<xref ref-type="bibr" rid="scirp.87094-ref13">13</xref>] . Importantly, while evidence linking individual BBs with depression is mixed, a majority of studies encompass elderly, predominately male patients with a history of heart disease.</p><p>β-Blockers include one class of antihypertensive medication used for the treatment of hypertension in pregnancy, with the mixed alpha and non-selective beta adrenergic antagonist labetalol considered a first-line agent for treating hypertension [<xref ref-type="bibr" rid="scirp.87094-ref5">5</xref>] . To our knowledge, no study has evaluated the associations between BB use and depression during pregnancy. Given the increased incidence of depression and hypertension in pregnancy, the morbidity these diagnoses pose to a woman and her pregnancy, and non-obstetric literature raising concern for a possible association between BB use and depression, we set out to explore this association in pregnancy. Herein, our hypothesis is that BB use and hypertension during pregnancy are independently associated with increased depression risk in pregnancy.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>This retrospective cohort study includes patients who received antenatal care within the NorthShore University HealthSystem (NSUHS) and subsequently delivered at a NSUHS hospital between January 1, 2009, and March 31, 2015. All women of at least 14 years of age who completed an Edinburgh Postnatal Depression Scale (EPDS) questionnaire during pregnancy were included in the study. Women without antepartum data, including those who received antepartum care outside NSUHS, and those who did not complete an EPDS during pregnancy, were excluded from analysis. Analyses encompassed the antepartum time frame up to and including completion of EPDS.</p><p>The EPDS survey is part of routine prenatal care in many obstetric practices within our Health System and is typically administered in the late second trimester. This 10-question survey is validated for depression screening in pregnant and postpartum patients [<xref ref-type="bibr" rid="scirp.87094-ref3">3</xref>] . Each question is scored from 0 to 3, with a total possible score ranging from 0 to 30. Questions assess feelings during the prior seven days. For this study, increased depression risk was defined as a score of 1 - 3 on question number ten, which assesses for self-harm, or a total score greater than or equal to 10, a cutoff chosen to achieve a balance of sensitivity and specificity [<xref ref-type="bibr" rid="scirp.87094-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref15">15</xref>] . Study protocol was approved by the NorthShore University HealthSystem Institutional Review Board, and is in accordance with the ethical standards of the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.</p><p>The primary independent variables in this study are BB use and hypertension diagnosis. Hypertension during pregnancy was determined by blood pressure criteria and physician International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes. Women were deemed to have hypertension with systolic blood pressure greater than or equal to 140 mmHg and/or diastolic blood pressure greater than or equal to 90 mmHg, on two occasions at least six hours apart during pregnancy. Women with hypertension were also identified via outpatient and inpatient physician ICD-9-CM codes for preeclampsia (642.4, 642.5, and 642.6), gestational hypertension (642.3 and 642.9), chronic hypertension (642.0, 642.1, and 642.2) and superimposed preeclampsia (642.7). Preeclampsia is defined by new onset hypertension and either proteinuria or end-organ damage in a woman who was previously normotensive. Gestational hypertension defines new onset hypertension, without proteinuria, after 20 weeks gestation. Chronic hypertension during pregnancy is a term encompassing women with pre-existing hypertension prior to pregnancy or within the first 20 weeks of gestation. Superimposed preeclampsia occurs when a woman with chronic hypertension develops worsening hypertension, proteinuria, or features of end-organ damage [<xref ref-type="bibr" rid="scirp.87094-ref5">5</xref>] .</p><p>Women diagnosed with these hypertensive disorders of pregnancy and those women meeting blood pressure criteria as outlined above were all included in the hypertensive group. The normotensive group comprised the remaining women. Medication use was determined by issued prescriptions. Hypertensive women with a prescription for a single-agent BB dated ≥ 7 days prior to completing the EPDS survey were classified as the BB Group. This time interval was selected to encompass the 7-day period addressed in the EPDS. A single-agent BB script issued less than 7 days prior to EPDS was considered a non-exposure. Hypertensive women not requiring an anti-hypertensive agent were classified as the No-Med Group. All other hypertensive women, including those using alternate single-agents or multiple anti-hypertensive agents with or without a BB, were classified as the All-Other Group. Alternate anti-hypertensive medications included calcium channel blockers, thiazide diuretics, and antiadrenergic agents. Treatment and medication choice was per provider discretion.</p><p>To determine the association between hypertension in pregnancy and depression risk, normotensive pregnancies were compared to hypertensive pregnancies. To assess the association between BB use and depression risk, the BB Group was compared to the No-Med Group, and the All-Other Group was compared to the No-Med Group. Evaluated co-existing medical conditions included diabetes, thyroid disorder, and renal disease, which were ascertained via ICD-9-CM codes. Medication use was determined by an active prescription at the time of EPDS assessment. Corticosteroids were included for evaluation as this class of medication may induce mood symptoms [<xref ref-type="bibr" rid="scirp.87094-ref16">16</xref>] . Both hypo- and hyperthyroidism can be associated with depression, thus thyroid medication use was included for analysis. Finally, anxiety and depression requiring medical management were assessed by evaluating for benzodiazepine and antidepressant use [<xref ref-type="bibr" rid="scirp.87094-ref16">16</xref>] . Lifetime antidepressant use was also evaluated as a marker of depression significant enough to require medication, and this was determined by an antidepressant prescription at any historical point prior to EPDS assessment. Body mass index (BMI) information was captured at the EPDS visit.</p><p>Continuous variables were summarized as mean &#177; standard deviation. The normality assumption for continuous variables was assessed using the Shapiro-Wilk test. Continuous variables were compared by Kruskal-Wallis test or Analysis of Variance. Categorical variables were summarized as frequencies and percentages and compared by Chi-square test or exact Chi-square test. Multivariable logistic regression analysis was conducted to compare depression scores among groups, with adjustment of those confounders determined to be significant. A confounder was retained in the model if it changed regression coefficients by more than 15%. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were reported for pair-wise group comparisons. P values were adjusted for multiple comparisons. Statistical analysis was performed on SAS 9.3 (Cary, NC) on a Windows platform. A P value &lt; 0.05 was considered statistically significant.</p></sec><sec id="s3"><title>3. Results</title><p>During the study period, there were 14,492 deliveries within our integrated health system. Deliveries without an associated antepartum EPDS and those without antepartum data were excluded from analysis, leaving 9,192 pregnancies for analysis (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Of these pregnancies, 95% (n = 8716) had no documented hypertension, while 5% (n = 476) were hypertensive. There was no difference between normotensive and hypertensive groups in gestational age at the time of EPDS assessment (25.7 &#177; 4.6 and 25.5 &#177; 5.8, respectively, P = 0.153). Of the hypertensive group, 22% (n = 103) were prescribed a BB for blood pressure control at least one week prior to antepartum depression screening (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Labetalol was the BB utilized for 94 of these women.</p><p>Demographic subject characteristics are presented in <xref ref-type="table" rid="table1">Table 1</xref>. Women with hypertension were significantly older than the normotensive group, and they were more likely to be African American and publicly insured. Clinical characteristics are presented in <xref ref-type="table" rid="table2">Table 2</xref>. Hypertensive women were more likely than normotensive women to be obese, deliver prior to 37 weeks, smoke tobacco, and have concomitant chronic medical conditions (inclusive of diabetes, thyroid disorder, renal impairment). They were also more likely to be using an antidepressant at the time of EPDS.</p><p>We evaluated the association between antepartum hypertension and depression risk. In univariate analyses, compared to normotensive pregnancies, hypertensive pregnancies had significant increased risk of EPDS ≥ 10 and endorsement of self-harm (<xref ref-type="table" rid="table3">Table 3</xref>). This significant association remained present in multivariate analyses. After adjustments, hypertensive pregnancies had significant increased risk of EPDS ≥ 10 (aOR1.61, 95% CI 1.17 - 2.21), and significant increased risk of endorsing self-harm (aOR 1.76, 95% CI 1.05 - 2.95).</p><p>We next evaluated the relation between BB use and depression risk. In pregnancies with hypertension, comparing the BB Group (n = 103) to the No-Med Group (n = 325), there was no difference in EPDS ≥ 10 or in thoughts of self-harm (<xref ref-type="table" rid="table3">Table 3</xref>). Furthermore, again among hypertensive pregnancies, comparing the No-Med Group (n = 325) to the All-Other Group (n = 48), there was also no difference in depression risk (<xref ref-type="table" rid="table3">Table 3</xref>). Thus, anti-hypertensive use in general, and particularly BB use, does not appear to be associated with depression risk in our cohort.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Patient sociodemographic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Maternal Characteristic</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="3"  >Hypertensive</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  ></td><td align="center" valign="middle" >Normotensive (n = 8716)</td><td align="center" valign="middle" >No-Med (n = 325)</td><td align="center" valign="middle" >BB (n = 103)</td><td align="center" valign="middle" >All-Other (n = 48)</td><td align="center" valign="middle" >P-value</td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age (y)</td><td align="center" valign="middle" >31.2 &#177; 5.4</td><td align="center" valign="middle" >31.6 &#177; 5.8</td><td align="center" valign="middle" >34.1 &#177; 4.9</td><td align="center" valign="middle" >36.2 &#177; 5.4</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >n (%)</td><td align="center" valign="middle" >n (%)</td><td align="center" valign="middle" >n (%)</td><td align="center" valign="middle" >n (%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Teen</td><td align="center" valign="middle" >213 (2)</td><td align="center" valign="middle" >3 (1)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >0.011</td></tr><tr><td align="center" valign="middle" >Race-ethnicity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >African American</td><td align="center" valign="middle" >564 (6)</td><td align="center" valign="middle" >64 (20)</td><td align="center" valign="middle" >15 (15)</td><td align="center" valign="middle" >8 (17)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Asian</td><td align="center" valign="middle" >709 (8)</td><td align="center" valign="middle" >13 (4)</td><td align="center" valign="middle" >6 (6)</td><td align="center" valign="middle" >6 (12)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Caucasian</td><td align="center" valign="middle" >4447 (51)</td><td align="center" valign="middle" >139 (43)</td><td align="center" valign="middle" >56 (54)</td><td align="center" valign="middle" >20 (42)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hispanic</td><td align="center" valign="middle" >1097 (13)</td><td align="center" valign="middle" >40 (12)</td><td align="center" valign="middle" >10 (10)</td><td align="center" valign="middle" >4 (8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >1897 (22)</td><td align="center" valign="middle" >69 (21)</td><td align="center" valign="middle" >16 (15)</td><td align="center" valign="middle" >10 (21)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Partner Status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.016</td></tr><tr><td align="center" valign="middle" >Partnered</td><td align="center" valign="middle" >7072 (82)</td><td align="center" valign="middle" >241 (74)</td><td align="center" valign="middle" >85 (83)</td><td align="center" valign="middle" >36 (75)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unpartnered</td><td align="center" valign="middle" >1574 (18)</td><td align="center" valign="middle" >81 (25)</td><td align="center" valign="middle" >18 (17)</td><td align="center" valign="middle" >10 (21)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Health Insurance</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Private</td><td align="center" valign="middle" >7024 (82)</td><td align="center" valign="middle" >237 (73)</td><td align="center" valign="middle" >79 (77)</td><td align="center" valign="middle" >35 (73)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Public Aid</td><td align="center" valign="middle" >1543 (18)</td><td align="center" valign="middle" >82 (25)</td><td align="center" valign="middle" >21(20)</td><td align="center" valign="middle" >13 (27)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>BB: β-blocker, SD: Standard Deviation.</p></sec><sec id="s4"><title>4. Discussion</title><p>This retrospective study showed a significant association of hypertension during pregnancy and increased risk of depression and thoughts of self-harm. We found that BB use among those with hypertension is not associated with increased antepartum depression risk.</p><p>The association between hypertension and depression is supported by previous prospective studies in both obstetric and non-obstetric populations [<xref ref-type="bibr" rid="scirp.87094-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref18">18</xref>] . While these studies are limited in evaluating specific cause and effect, various mechanisms have been proposed to explain the interplay between hypertension and depression. For example, depression increases sympathetic nervous system tone [<xref ref-type="bibr" rid="scirp.87094-ref19">19</xref>] . Additionally, numerous studies link inflammation to depression in non-pregnant adults [<xref ref-type="bibr" rid="scirp.87094-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref21">21</xref>] , yet pregnancy-specific studies are notably less consistent in the association between inflammatory markers and depression [<xref ref-type="bibr" rid="scirp.87094-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref23">23</xref>] . Our findings further support the association between hypertension and depression in pregnancy, and they strengthen the need for further mechanistic studies.</p><p>With regards to depression and BB use, previous studies have both supported and refuted the depressogenic effects of BBs [<xref ref-type="bibr" rid="scirp.87094-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref24">24</xref>] . The first report to raise concern over depression and BB use was published by Waal in 1967 [<xref ref-type="bibr" rid="scirp.87094-ref11">11</xref>] . This</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Patient clinical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle"  colspan="4"  >Hypertensive</th><th align="center" valign="middle"  colspan="2"  ></th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Normotensive (n = 8716) N (%)</td><td align="center" valign="middle"  colspan="2"  >No-Med (n = 325) N (%)</td><td align="center" valign="middle" >BB (n = 103) N (%)</td><td align="center" valign="middle" >All-Other (n = 48) N (%)</td><td align="center" valign="middle"  colspan="2"  >P-value</td></tr><tr><td align="center" valign="middle"  colspan="2"  >&lt;37 w at Delivery</td><td align="center" valign="middle" >834 (10)</td><td align="center" valign="middle"  colspan="2"  >86 (26)</td><td align="center" valign="middle"  colspan="2"  >27 (26)</td><td align="center" valign="middle" >22 (46)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >No. Living Children</td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.205</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >≥3</td><td align="center" valign="middle" >1869 (22)</td><td align="center" valign="middle"  colspan="2"  >82 (25)</td><td align="center" valign="middle"  colspan="2"  >26 (25)</td><td align="center" valign="middle" >13 (27)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >≤2</td><td align="center" valign="middle" >6798 (78)</td><td align="center" valign="middle"  colspan="2"  >239 (73)</td><td align="center" valign="middle"  colspan="2"  >77 (75)</td><td align="center" valign="middle" >34 (71)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.346</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >0</td><td align="center" valign="middle" >34 (0.6)</td><td align="center" valign="middle"  colspan="2"  >0 (0)</td><td align="center" valign="middle"  colspan="2"  >0 (0)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >1</td><td align="center" valign="middle" >2128 (39)</td><td align="center" valign="middle"  colspan="2"  >70 (34)</td><td align="center" valign="middle"  colspan="2"  >23 (34)</td><td align="center" valign="middle" >10 (31)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >2</td><td align="center" valign="middle" >1946 (360</td><td align="center" valign="middle"  colspan="2"  >72 (35)</td><td align="center" valign="middle"  colspan="2"  >25 (37)</td><td align="center" valign="middle" >12 (38)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >3</td><td align="center" valign="middle" >1326 (24)</td><td align="center" valign="middle"  colspan="2"  >66 (32)</td><td align="center" valign="middle"  colspan="2"  >20 (29)</td><td align="center" valign="middle" >10 (31)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >BMI ≥ 30 at EPDS</td><td align="center" valign="middle" >2646 (30)</td><td align="center" valign="middle"  colspan="2"  >218 (67)</td><td align="center" valign="middle"  colspan="2"  >71 (69)</td><td align="center" valign="middle" >38 (79)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Tobacco Use</td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Never</td><td align="center" valign="middle" >6807 (78)</td><td align="center" valign="middle"  colspan="2"  >232 (71)</td><td align="center" valign="middle"  colspan="2"  >70 (68)</td><td align="center" valign="middle" >30 (62)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Quit</td><td align="center" valign="middle" >1582 (18)</td><td align="center" valign="middle"  colspan="2"  >74 (23)</td><td align="center" valign="middle"  colspan="2"  >29 (28)</td><td align="center" valign="middle" >17 (35)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Current Use</td><td align="center" valign="middle" >309 (4)</td><td align="center" valign="middle"  colspan="2"  >17 (5)</td><td align="center" valign="middle"  colspan="2"  >4 (4)</td><td align="center" valign="middle" >1 (2)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Chronic Medical Condition</td><td align="center" valign="middle" >1504 (17)</td><td align="center" valign="middle"  colspan="2"  >113 (35)</td><td align="center" valign="middle"  colspan="2"  >46 (45)</td><td align="center" valign="middle" >25 (52)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Diabetes</td><td align="center" valign="middle" >1050 (12)</td><td align="center" valign="middle"  colspan="2"  >102 (31)</td><td align="center" valign="middle"  colspan="2"  >40 (39)</td><td align="center" valign="middle" >24 (50)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Thyroid Disease</td><td align="center" valign="middle" >595 (7)</td><td align="center" valign="middle"  colspan="2"  >25 (8)</td><td align="center" valign="middle"  colspan="2"  >16 (15)</td><td align="center" valign="middle" >8 (17)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Renal Disease</td><td align="center" valign="middle" >21 (0.2)</td><td align="center" valign="middle"  colspan="2"  >1 (0.3)</td><td align="center" valign="middle"  colspan="2"  >1 (1)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >0.350</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Corticosteroid</td><td align="center" valign="middle" >104 (1)</td><td align="center" valign="middle"  colspan="2"  >4 (1)</td><td align="center" valign="middle"  colspan="2"  >4 (4)</td><td align="center" valign="middle" >5 (10)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Thyroid Medication</td><td align="center" valign="middle" >601 (7)</td><td align="center" valign="middle"  colspan="2"  >16 (5)</td><td align="center" valign="middle"  colspan="2"  >18 (17)</td><td align="center" valign="middle" >5 (10)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Benzodiazepine</td><td align="center" valign="middle" >58 (0.7)</td><td align="center" valign="middle"  colspan="2"  >4 (1)</td><td align="center" valign="middle"  colspan="2"  >2 (2)</td><td align="center" valign="middle" >1 (2)</td><td align="center" valign="middle" >0.124</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Antidepressant</td><td align="center" valign="middle" >366 (4)</td><td align="center" valign="middle"  colspan="2"  >26 (8)</td><td align="center" valign="middle"  colspan="2"  >6 (6)</td><td align="center" valign="middle" >6 (12)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Lifetime Antidepressant</td><td align="center" valign="middle" >1283 (15)</td><td align="center" valign="middle"  colspan="2"  >72 (22)</td><td align="center" valign="middle"  colspan="2"  >29 (28)</td><td align="center" valign="middle" >14 (29)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>BB: β-blocker, GA: Gestational Age, EPDS: Edinburgh Postnatal Depression Scale, BMI: Body Mass Index.</p><p>observational study reported a particularly high incidence of depression in a cohort of patients using propranolol, a highly lipophilic BB, for antiarrhythmic therapy. Follow-up studies detected a significantly higher use of anti-depressants in patients taking BBs compared to patients taking other anti-hypertensives [<xref ref-type="bibr" rid="scirp.87094-ref25">25</xref>] , and an increased relative risk of 2.6 of antidepressant prescriptions subsequent to BB use [<xref ref-type="bibr" rid="scirp.87094-ref10">10</xref>] . These studies notably found that the youngest BB users (aged 20 - 44) had the highest rates of anti-depressant use. More recently, several randomized controlled trials evaluating depression as a secondary outcome of BB use have reported a significant increased risk of fatigue, though a lack of association with depression [<xref ref-type="bibr" rid="scirp.87094-ref26">26</xref>] . Conversely, Liu and colleagues’ prospective study revealed</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Logistic regression results</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Outcome</th><th align="center" valign="middle"  colspan="6"  >Comparison Groups</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  ></td><td align="center" valign="middle"  colspan="2"  >Hypertensive vs Normotensive</td><td align="center" valign="middle"  colspan="2"  >BB vs No-Med</td><td align="center" valign="middle"  colspan="2"  >All-Othervs No-Med</td></tr><tr><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >aOR* (95% CI)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >aOR+ (95% CI)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >aOR+ (95% CI)</td></tr><tr><td align="center" valign="middle" >EPDS ≥ 10</td><td align="center" valign="middle" >1.97 (1.57 - 2.49)</td><td align="center" valign="middle" >1.61 (1.17 - 2.21)</td><td align="center" valign="middle" >1.49 (0.82 - 2.71)</td><td align="center" valign="middle" >1.22 (0.56 - 2.63)</td><td align="center" valign="middle" >1.21 (0.60 - 2.46)</td><td align="center" valign="middle" >1.42 (0.57 - 3.54)</td></tr><tr><td align="center" valign="middle" >Self-harm</td><td align="center" valign="middle" >1.98 (1.32 - 2.95)</td><td align="center" valign="middle" >1.76 (1.05 - 2.95)</td><td align="center" valign="middle" >1.00 (0.39 - 2.59)</td><td align="center" valign="middle" >0.84 (0.32 - 2.21)</td><td align="center" valign="middle" >1.07 (0.31 - 3.78)</td><td align="center" valign="middle" >1.04 (0.29 - 3.74)</td></tr></tbody></table></table-wrap><p>BB: β-blocker, EPDS: Edinburgh Postnatal Depression Scale, OR: Unadjusted Odds Ratio, aOR: Adjusted Odds Ratio, CI: Confidence Interval. Significant associations are displayed in bold. *Models adjusted for EPDS ≥ 10, teen, race-ethnicity, partner status, health insurance, parity, BMI, benzodiazepine use, tobacco use, antidepressant use, and lifetime antidepressant. Self-harm, teen, race-ethnicity, partner status, health insurance, parity, antidepressant use, and lifetime antidepressant. +Models adjusted for EPDS ≥ 10, teen, race-ethnicity, partner status, health insurance, parity, BMI, benzodiazepine use, antidepressant use, and lifetime antidepressant. Self-harm, teen, race-ethnicity, partner status, health insurance.</p><p>worsened depressive symptoms in congestive heart failure patients treated with metoprolol [<xref ref-type="bibr" rid="scirp.87094-ref12">12</xref>] . These studies notably consisted of relatively elderly and predominately male subjects with heart disease. Furthermore, not all studies evaluated depression through validated questionnaires or interviews. Recently, Ringoir and colleagues conducted a cross-sectional study evaluating depression and BB use in 573 primary care hypertension patients without prior myocardial infarction or heart failure [<xref ref-type="bibr" rid="scirp.87094-ref9">9</xref>] . This group evaluated depression through a structured interview that included the validated Patient Health Questionnaire 9 (PHQ-9). The authors found that lipophilic BB use is significantly independently associated with depression.</p><p>Mechanisms have been proposed to explain the biologic plausibility of how BBs may be associated with depression [<xref ref-type="bibr" rid="scirp.87094-ref13">13</xref>] . β-Adrenergic receptors are found within the brain. β-Blockers have also been found to signal through serotonergic receptors in the brain, receptors that directly influence mood. Additionally, BBs may act non-specifically to influence mood through cellular membrane stabilization or via peripheral nervous system changes.</p><p>Labetalol is a widely used BB during pregnancy, owing to its long track record of safety in pregnancy [<xref ref-type="bibr" rid="scirp.87094-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.87094-ref27">27</xref>] . Oral labetalol has a 1:3 α- to β-blockade ratio [<xref ref-type="bibr" rid="scirp.87094-ref28">28</xref>] . Agents with α-blocking properties likely preserve uteroplacental blood flow and are preferred to selective BBs, which are associated with fetal growth restriction and small for gestational age neonates [<xref ref-type="bibr" rid="scirp.87094-ref29">29</xref>] . In many studies revealing a positive association between BB use and depression, a common thread seems to be the association with highly lipophilic β-antagonists. Labetalol has low lipid solubility [<xref ref-type="bibr" rid="scirp.87094-ref30">30</xref>] , possibly helping to explain the negative association between BBs and depression in our study. Notably, while labetalol is a first-line antihypertensive during pregnancy, it is not widely used in the general population.</p><p>Limitations of our study include its retrospective design, which limits cause and effect determinations. Additionally, medication use was identified from prescribing information. Compliance with medication use was not independently confirmed, and length of medication use could not be ascertained. Our analysis relies on the accuracy of the electronic health record (EHR). Prior evaluation of our integrated health system’s EHR demonstrated high concordance with chart review, and particularly high concordance with hypertension diagnoses, supporting the accuracy of our EHR [<xref ref-type="bibr" rid="scirp.87094-ref31">31</xref>] . To insure that we captured women who met criteria for gestational hypertensive disorders, we utilized both ICD-9-CMcodes and blood pressure criteria over the course of pregnancy. This strategy allowed for careful identification of women with hypertensive disease, though it limits subgroup analyses by type of hypertension. Strengths of our study include the large sample size, the ability to categorize women by hypertension and BB use, and the validated EPDS tool utilized to assess for depression risk. Additionally, our 5% incidence of hypertension in pregnancy is in line with United States population estimates of antepartum hypertension [<xref ref-type="bibr" rid="scirp.87094-ref6">6</xref>] .</p><p>Combating peripartum depression is paramount to a healthy pregnancy. Reducing depression begins with effective screening. Our findings here emphasize the need for extra attention to depression evaluation in those women with hypertension during pregnancy. In addition to universal depression screening during the perinatal period, as recommended by the American College of Obstetricians and Gynecologists [<xref ref-type="bibr" rid="scirp.87094-ref3">3</xref>] , additional depression screening in women with antepartum hypertension may be appropriate. Prospective studies are needed to help elucidate causality. Further investigations are also needed to define more precise benefits of depression screening along with optimum management strategies in screen-positive women. Reassuringly, BB treatment of hypertension does not appear to be associated with depression risk.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>McCarthy, A.M., Zhou, Y., Adams, M., Elue, R., Diaz, N. and Plunkett, B.A. (2018) Association of Hypertension and β-Blocker Use with Depression during Pregnancy. Open Journal of Obstetrics and Gynecology, 8, 925-935. https://doi.org/10.4236/ojog.2018.811094</p></sec></body><back><ref-list><title>References</title><ref id="scirp.87094-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Bennett, H.A., Einarson, A., Taddio, A., Koren, G. and Einarson, T.R. (2004) Prevalence of Depression during Pregnancy: Systematic Review. Obstetrics and Gynecology, 103, 698-709. https://doi.org/10.1097/01.AOG.0000116689.75396.5f</mixed-citation></ref><ref id="scirp.87094-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Stewart, D.E. (2011) Clinical Practice. Depression during Pregnancy. The New England Journal of Medicine, 365, 1605-1611. https://doi.org/10.1056/NEJMcp1102730</mixed-citation></ref><ref id="scirp.87094-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">American College of Obstetricians and Gynecologists, Committee on Obstetric Practice (2015) Committee Opinion No. 630: Screening for Perinatal Depression. Obstetrics and Gynecology, 125, 1268-1271.  
https://doi.org/10.1097/01.AOG.0000465192.34779.dc</mixed-citation></ref><ref id="scirp.87094-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Lai, C., Coulter, S.A. and Woodruff, A. (2017) Hypertension and Pregnancy. Texas Heart Institute Journal, 44, 350-351. https://doi.org/10.14503/THIJ-17-6359</mixed-citation></ref><ref id="scirp.87094-ref5"><label>5</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>American College of Obstetricians and Gynecologists</surname><given-names> Task Force on Hypertension in Pregnancy </given-names></name>,<etal>et al</etal>. (<year>2013</year>)<article-title>Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists’ Task Force on Hypertension in Pregnancy</article-title><source> Obstetrics and Gynecology</source><volume> 122</volume>,<fpage> 1122</fpage>-<lpage>1131</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.87094-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Kuklina, E.V., Ayala, C. and Callaghan, W.M. (2009) Hypertensive Disorders and Severe Obstetric Morbidity in the United States. Obstetrics &amp; Gynecology, 113, 1299-1306. https://doi.org/10.1097/AOG.0b013e3181a45b25</mixed-citation></ref><ref id="scirp.87094-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Katon, W.J., Russo, J.E., Melville, J.L., Katon, J.G. and Gavin, A.R. (2012) Depression in Pregnancy Is Associated with Preexisting but Not Pregnancy-Induced Hypertension. General Hospital Psychiatry, 34, 9-16.  
https://doi.org/10.1016/j.genhosppsych.2011.09.018</mixed-citation></ref><ref id="scirp.87094-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Kurki, T., Hiilesmaa, V., Raitasalo, R., Mattila, H. and Ylikorkala, O. (2000) Depression and Anxiety in Early Pregnancy and Risk for Preeclampsia. Obstetrics &amp; Gynecology, 95, 487-490.</mixed-citation></ref><ref id="scirp.87094-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Ringoir, L., Pedersen, S.S., Widdershoven, J.W., Pouwer, F., Keyzer, J.M., Romeijnders, A.C. and Pop, V.J. (2014) Beta-Blockers and Depression in Elderly Hypertension Patients in Primary Care. Family Medicine, 46, 447-453.</mixed-citation></ref><ref id="scirp.87094-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Thiessen, B.Q., Wallace, S.M., Blackburn, J.L., Wilson, T.W. and Bergman, U. (1990) Increased Prescribing of Antidepressants Subsequent to Beta-Blocker Therapy. Archives of Internal Medicine, 150, 2286-2290.  
https://doi.org/10.1001/archinte.1990.00390220044009</mixed-citation></ref><ref id="scirp.87094-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Waal, H.J. (1967) Propranolol-Induced Depression. British Medical Journal, 2, 50.  
https://doi.org/10.1136/bmj.2.5543.50</mixed-citation></ref><ref id="scirp.87094-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Liu, X., Lou, X., Cheng, X. and Meng, Y. (2017) Impact of Metoprolol Treatment on Mental Status of Chronic Heart Failure Patients with Neuropsychiatric Disorders. Drug Design, Development and Therapy, 11, 305-312.  
https://doi.org/10.2147/DDDT.S124497</mixed-citation></ref><ref id="scirp.87094-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Koella, W.P. (1985) CNS-Related (Side-)Effects of Beta-Blockers with Special Reference to Mechanisms of Action. European Journal of Clinical Pharmacology, 28, 55-63. https://doi.org/10.1007/BF00543711</mixed-citation></ref><ref id="scirp.87094-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Murray, L. and Carothers, A.D. (1990) The Validation of the Edinburgh Post-Natal Depression Scale on a Community Sample. The British Journal of Psychiatry, 157, 288-290. https://doi.org/10.1192/bjp.157.2.288</mixed-citation></ref><ref id="scirp.87094-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Bergink, V., Kooistra, L., Lambregtse-van den Berg, M.P., Wijnen, H., Bunevicius, R., van Baar, A. and Pop, V. (2011) Validation of the Edinburgh Depression Scale during Pregnancy. Journal of Psychosomatic Research, 70, 385-389.  
https://doi.org/10.1016/j.jpsychores.2010.07.008</mixed-citation></ref><ref id="scirp.87094-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Celano, C.M., Freudenreich, O., Fernandez-Robles, C., Stern, T.A., Caro, M.A. and Huffman, J.C. (2011) Depressogenic Effects of Medications: A Review. Dialogues in Clinical Neuroscience, 13, 109-125.</mixed-citation></ref><ref id="scirp.87094-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Igwe, M.N., Uwakwe, R., Ahanotu, C.A., Onyeama, G.M., Bakare, M.O. and Ndukuba, A.C. (2013) Factors Associated with Depression and Suicide among Patients with Diabetes Mellitus and Essential Hypertension in a Nigerian Teaching Hospital. African Health Sciences, 13, 68-77. https://doi.org/10.4314/ahs.v13i1.10</mixed-citation></ref><ref id="scirp.87094-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Munhoz, T.N., Nunes, B.P., Wehrmeister, F.C., Santos, I.S. and Matijasevich, A. (2016) A Nationwide Population-Based Study of Depression in Brazil. Journal of Affective Disorders, 192, 226-233. https://doi.org/10.1016/j.jad.2015.12.038</mixed-citation></ref><ref id="scirp.87094-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Carney, R.M. and Freedland, K.E. (2008) Depression in Patients with Coronary Heart Disease. American Journal of Medicine, 121, S20-S27.  
https://doi.org/10.1016/j.amjmed.2008.09.010</mixed-citation></ref><ref id="scirp.87094-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Miller, A.H. and Raison, C.L. (2016) The Role of Inflammation in Depression: From Evolutionary Imperative to Modern Treatment Target. Nature Reviews Immunology, 16, 22-34. https://doi.org/10.1038/nri.2015.5</mixed-citation></ref><ref id="scirp.87094-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Aschbacher, K., Epel, E., Wolkowitz, O.M., Prather, A.A., Puterman, E. and Dhabhar, F.S. (2012) Maintenance of a Positive Outlook during Acute Stress Protects against Pro-Inflammatory Reactivity and Future Depressive Symptoms. Brain, Behavior, and Immunity, 26, 346-352. https://doi.org/10.1016/j.bbi.2011.10.010</mixed-citation></ref><ref id="scirp.87094-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Buglione-Corbett, R., Deligiannidis, K.M., Leung, K., Zhang, N., Lee, M., Rosal, M.C. and Moore Simas, T.A. (2018) Expression of Inflammatory Markers in Women with Perinatal Depressive Symptoms. Archives of Women’s Mental Health.</mixed-citation></ref><ref id="scirp.87094-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Simpson, W., Steiner, M., Coote, M. and Frey, B.N. (2016) Relationship between Inflammatory Biomarkers and Depressive Symptoms during Late Pregnancy and the Early Postpartum Period: A Longitudinal Study. Revista Brasileira de Psiquiatria, 38, 190-196. https://doi.org/10.1590/1516-4446-2015-1899</mixed-citation></ref><ref id="scirp.87094-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Hallas, J. (1996) Evidence of Depression Provoked by Cardiovascular Medication: A Prescription Sequence Symmetry Analysis. Epidemiology, 7, 478-484.  
https://doi.org/10.1097/00001648-199609000-00005</mixed-citation></ref><ref id="scirp.87094-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Avorn, J., Everitt, D.E. and Weiss, S. (1986) Increased Antidepressant Use in Patients Prescribed Beta-Blockers. JAMA, 255, 357-360.  
https://doi.org/10.1001/jama.1986.03370030077031</mixed-citation></ref><ref id="scirp.87094-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Ko, D.T., Hebert, P.R., Coffey, C.S., Sedrakyan, A., Curtis, J.P. and Krumholz, H.M. (2002) Beta-Blocker Therapy and Symptoms of Depression, Fatigue, and Sexual Dysfunction. JAMA, 288, 351-357. https://doi.org/10.1001/jama.288.3.351</mixed-citation></ref><ref id="scirp.87094-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Fitton, C.A., Steiner, M.F.C., Aucott, L., Pell, J.P., Mackay, D.F., Fleming, M. and McLay, J.S. (2017) In-Utero Exposure to Antihypertensive Medication and Neonatal and Child Health Outcomes: A Systematic Review. Journal of Hypertension, 35, 2123-2137. https://doi.org/10.1097/HJH.0000000000001456</mixed-citation></ref><ref id="scirp.87094-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Richards, D.A., Tuckman, J. and Prichard, B.N. (1976) Assessment of Alpha- and Beta-Adrenoceptor Blocking Actions of Labetalol. British Journal of Clinical Pharmacology, 3, 849-855. https://doi.org/10.1111/j.1365-2125.1976.tb00637.x</mixed-citation></ref><ref id="scirp.87094-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Lydakis, C., Lip, G.Y., Beevers, M. and Beevers, D.G. (1999) Atenolol and Fetal Growth in Pregnancies Complicated by Hypertension. American Journal of Hypertension, 12, 541-547. https://doi.org/10.1016/S0895-7061(99)00031-X</mixed-citation></ref><ref id="scirp.87094-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Poirier, L. and Tobe, S.W. (2014) Contemporary Use of Beta-Blockers: Clinical Relevance of Subclassification. Canadian Journal of Cardiology, 30, S9-S15.  
https://doi.org/10.1016/j.cjca.2013.12.001</mixed-citation></ref><ref id="scirp.87094-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Straub, H., Adams, M. and Silver, R.K. (2014) Can an Electronic Health Record System Be Used for Preconception Health Optimization? Maternal and Child Health Journal, 18, 2134-2140. https://doi.org/10.1007/s10995-014-1461-8</mixed-citation></ref></ref-list></back></article>