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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Glob. Womens Health</journal-id>
<journal-title>Frontiers in Global Women's Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Glob. Womens Health</abbrev-journal-title>
<issn pub-type="epub">2673-5059</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgwh.2023.1264837</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Global Women's Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Thirty years of HIV pregnancies in French Guiana: prevention successes and remaining obstetrical challenges</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Nacher</surname><given-names>Mathieu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/677030/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Blanc</surname><given-names>Julie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Rabier</surname><given-names>Sebastien</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Lucarelli</surname><given-names>Aude</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Adenis</surname><given-names>Antoine</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/875674/overview" /><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Basurko</surname><given-names>Celia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Louis</surname><given-names>Alphonse</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Dotou</surname><given-names>Dominique</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Leneuve</surname><given-names>Malika</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Osei</surname><given-names>Lindsay</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2214014/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Elenga</surname><given-names>Narcisse</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1153144/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Hcini</surname><given-names>Najeh</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Centre d&#x0027;Investigation Clinique INSERM 1424, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Amazonian Infrastructures for Population Health</institution>, <addr-line>Centre Hospitalier de Cayenne, Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>D&#x00E9;partement Formation Recherche Sant&#x00E9;, Universit&#x00E9; de Guyane</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>COREVIH Guyane, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Service de Gyn&#x00E9;cologie Obst&#x00E9;trique, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff6"><label><sup>6</sup></label><addr-line>Collectivit&#x00E9; territoriale de Guyane</addr-line>, <institution>Protection Maternelle et Infantile</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff7"><label><sup>7</sup></label><institution>Service de P&#x00E9;diatrie, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff8"><label><sup>8</sup></label><institution>Service de Gyn&#x00E9;cologie Obst&#x00E9;trique, Centre Hospitalier de l&#x2019;Ouest Guyanais</institution>, <addr-line>Saint Laurent du Maroni</addr-line>, <country>French Guiana</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> May Maloba, Global innovation Kenya, Kenya</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Marta Lopez, Hospital Clinic of Barcelona, Spain</p>
<p>Patrick Kaonga, University of Zambia, Zambia</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Mathieu Nacher <email>mathieu.nacher66@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>03</day><month>01</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>4</volume><elocation-id>1264837</elocation-id>
<history>
<date date-type="received"><day>21</day><month>07</month><year>2023</year></date>
<date date-type="accepted"><day>13</day><month>12</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Nacher, Blanc, Rabier, Lucarelli, Adenis, Basurko, Louis, Dotou, Leneuve, Osei, Elenga and Hcini.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Nacher, Blanc, Rabier, Lucarelli, Adenis, Basurko, Louis, Dotou, Leneuve, Osei, Elenga and Hcini</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec><title>Introduction</title>
<p>In a context of high HIV prevalence, poor pregnancy follow-up, frequent poverty, preeclampsia, and preterm delivery, we aimed to describe the characteristics and outcomes of pregnancies among women living with HIV in French Guiana.</p>
</sec>
<sec><title>Methods</title>
<p>A retrospective cohort study was conducted on HIV-infected pregnancies enrolled between January 1st 1992 to 31st July 2022. Overall, there were 1,774 pregnancies in 881 women living with HIV.</p>
</sec>
<sec><title>Results</title>
<p>For 75.1&#x0025; of pregnancies, the HIV diagnosis was already known before pregnancy and in 67.6&#x0025; of women, HIV follow-up predated pregnancy. Nearly half of women, 49.6&#x0025;, only had one pregnancy since having been diagnosed with HIV. Although most women received antiretroviral therapy during pregnancy, for those with the available information we found only 48.5&#x0025; had an undetectable viral load at delivery. Overall, 15.3&#x0025; of pregnancies ended with an abortion. There were a total of 110 newborns infected with HIV representing an overall transmission rate of 6.2&#x0025; (110/1,771). Between 1993 and 2002, the transmission rate was 34&#x0025;, between 2003 and 2012 it was 1.3&#x0025;, and between 2013 and 2022 it was 0.7&#x0025;. Overall, in Cayenne, since 2008, 106 of 581 HIV&#x2013;infected pregnancies (18.2&#x0025;) with available information were premature before 37 weeks of pregnancy; of these, 33 (5.7&#x0025;) were very preterm deliveries and 73 (13.3&#x0025;) were late preterm deliveries. Over time, in Cayenne, preterm delivery declined significantly.</p>
</sec>
<sec><title>Conclusions</title>
<p>The present study emphasizes that, despite spectacular progress in reducing mother to child transmission, pregnancy outcomes among women living with HIV are still preoccupying with high incidence of preterm delivery and low birth weight. Teasing out what fraction is linked to HIV and what fraction is linked to social precariousness and poor follow-up was not possible in this study. Despite the high incidence of very preterm delivery recent progress suggests that coordination efforts to improve follow-up may also have improved obstetrical outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>HIV</kwd>
<kwd>pregnancy</kwd>
<kwd>vertical transmission</kwd>
<kwd>preterm delivery</kwd>
<kwd>French Guiana</kwd>
</kwd-group>
<contract-sponsor id="cn001">The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="16"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Infectious Diseases in Women</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><title>Introduction</title>
<p>French Guiana is a French territory in South America that shares borders with Brazil and Suriname. For cultural reasons, it has the highest birth rate in Latin America (26.8 per 1,000 persons) (<xref ref-type="bibr" rid="B1">1</xref>). The HIV prevalence and incidence are the highest of all French territories. The prevalence of HIV in French Guiana in the 15&#x2013;49 year-old age group is estimated at 1.6&#x0025; and incidence has substantially declined since the advent of highly active antiretroviral therapy (<xref ref-type="bibr" rid="B2">2</xref>). The drivers of the epidemic are: frequent multiple sexual partnerships, transactional sex, and crack cocaine-related risky sex behaviors (<xref ref-type="bibr" rid="B3">3</xref>). These drivers are often related to social precariousness. Because French Guiana has the highest Gross Domestic Product (GDP) and health expenditure per capita in Latin America, it attracts numerous vulnerable immigrants who arrive in hope of better economic prospects. However, when they arrive, immigrants often live in great poverty. While 29&#x0025; of the total population and nearly half of adults are foreigners, for persons living with the Human Immunodeficiency Virus (HIV), 80&#x0025; are foreigners (<xref ref-type="bibr" rid="B3">3</xref>). Although many immigrants with HIV come from HIV endemic countries, we have shown that over half acquire the infection early after arrival in French Guiana, presumably because of enhanced sexual vulnerability linked to social precariousness (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). In this context, the transmission mode of HIV is by far mostly heterosexual, with a balanced number of males and females. The health system is the French universal health care system, which provides mostly free health care to all (genotyping, viral load and CD4 lymphocyte measurements, and antiretrovirals, among others), including undocumented immigrants, most of whom benefit from residence permits for health reasons. However, for persons who have a difficult life, access to care is often complicated or secondary to the immediate pressing needs of survival. This is particularly obvious for pregnant women, over a third of whom have a poor pregnancy follow-up (<xref ref-type="bibr" rid="B6">6</xref>). Preterm delivery is double that of mainland France (13&#x0025; vs. 6.9&#x0025;, respectively) (<xref ref-type="bibr" rid="B7">7</xref>). Stillbirths and infant mortality are both 2&#x2013;3 times greater than in France (<xref ref-type="bibr" rid="B8">8</xref>). The prevalence of HIV among pregnant women in French Guiana has exceeded 1&#x0025; for over 3 decades. Since 2008, following the national French guidelines, all pregnant women receive a triple antiretroviral combination therapy. HIV during pregnancy has been associated with a number of adverse outcomes (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). The role of antiretrovirals has yielded contrasting results: some finding no difference in pregnancy outcomes (<xref ref-type="bibr" rid="B13">13</xref>) whereas others, notably a case control study in French Guiana, found antiretroviral treatment was associated with preterm delivery (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>In this context of high HIV prevalence, frequent poverty, poor pregnancy follow-up, frequent preeclampsia, frequent preterm delivery, we hypothesized that describing pregnancy outcomes and their trends would provide precious information to optimize the care of women with HIV. We thus aimed to describe the characteristics and outcomes of 1,774 pregnancies among a historical hospital cohort of 881 women living with HIV in French Guiana. The Amazonian context of the study may provide useful information for other countries in the region.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<p>The study was a retrospective cohort conducted on the French Guiana data included in the French Hospital Database for HIV (FHDH), a national cohort that prospectively records all events and characteristics of persons with HIV. HIV-infected pregnancies (confirmed infections by western blot analysis) enrolled between January 1st 1992 to 31st July 2022 were considered. While HIV was the exposure the main outcomes of interest were pregnancy outcome, transmission, obstetrical complications. Patient data are routinely entered in the database by physicians as they consult and trained research technicians who control for exhaustivity. The main study variables were age, country of birth, date of HIV discovery and reason for testing, initial CD4 count, CDC stage, viral load, antiretroviral treatment, opportunistic infections, and pregnancy outcomes (obstetrical complications, labor and delivery complications, early neonatal outcomes, complications related to puerperium). Because HIV records did not have precise information about term at delivery, between 2008 and 2022 research technicians compiled this information in Cayenne.</p>
<sec id="s2a"><title>Statistical analysis</title>
<p>Descriptive analysis computed means and standard deviations for quantitative variables, and counts and percentages for qualitative and ordinal variables. Pregnancy complications were studied using International Classification of Diseases (ICD 10) codes O10&#x2013;O16 (edema, proteinuria, and hypertensive disorders in pregnancy, childbirth, and the puerperium), O20&#x2013;O29 (Other maternal disorders predominantly related to pregnancy), O40&#x2013;O48 (Ectopic pregnancy, molar pregnancy, and other abnormal conceptions), O60&#x2013;O75 (Complications of childbirth) and O98 (Other unspecified maternal conditions). The statistical analysis was performed using SAS 9.4 software (SAS Institute Inc., Cary, NC, USA).</p>
<p>Pregnancies with no event were censored at the date of delivery or termination. Only pregnancies with start and end dates were used.</p>
</sec>
<sec id="s2b"><title>Ethical and regulatory aspects</title>
<p>All patients included in the FHDH give informed consent for the use of their anonymized data, and for the publication of anonymized results from these data. This cohort has been approved by the Commission Nationale Informatique et Libert&#x00E9;s (CNIL) since November 27th 1991, subsequently updated on March 30th 2021 (deliberation number 2021-044) and has led to several international publications.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>Overall, there were 1,774 pregnancies in 881 women living with HIV. The mean age at the time of pregnancy was 30.3 years (SD&#x2009;&#x003D;&#x2009;6.6). Most pregnant women were from Haiti (39.2&#x0025;), Suriname (26&#x0025;), and France (15.4&#x0025;), as in the overall cohort.</p>
<p><xref ref-type="table" rid="T1">Table&#x00A0;1</xref> shows HIV characteristics. Briefly, 69&#x0025; of women had first been screened for HIV during pregnancy at the initiation of a physician. Only 14.9&#x0025; of women had CD4 counts &#x003C;200 per mm<sup>3</sup> and 17&#x0025; were at the Acquired Immuno Deficiency Syndrome (AIDS) stage. Between 1993 and 2002, the mean nadir CD4 count was 579 per mm<sup>3</sup>, between 2003 and 2012 it was 375&#x2005;per mm<sup>3</sup>, and between 2013 and 2022 it was 509 per mm<sup>3</sup>.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Description of HIV characteristics among 881 pregnant women living in French Guiana with details on associated STI and comorbidities.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics of HIV infection</th>
<th valign="top" align="center">Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Hepatitis co-infection, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hepatitis B</td>
<td valign="top" align="center">15/881 (1.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hepatitis C</td>
<td valign="top" align="center">8/881 (0.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hepatitis B&#x0026;C</td>
<td valign="top" align="center">1/881 (0.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Mean age at HIV diagnosis (years) (SD<xref ref-type="table-fn" rid="table-fn1"><sup>a</sup></xref>)</td>
<td valign="top" align="center">27.3 (7.2)</td>
</tr>
<tr>
<td valign="top" align="left">Mean duration of HIV infection (years since diagnosis) (SD)</td>
<td valign="top" align="center">11.6 (7.4)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Transmission mode, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Heterosexual</td>
<td valign="top" align="center">830/881 (94.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">31/881 (3.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Materno-foetal</td>
<td valign="top" align="center">13/881 (1.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Transfusion</td>
<td valign="top" align="center">1/881 (0.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Accidental exposure to blood</td>
<td valign="top" align="center">1/881 (0.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hemophiliac/blood products</td>
<td valign="top" align="center">2/881 (0.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">3/881 (0.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Context of diagnosis, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pregnancy</td>
<td valign="top" align="center">216 (69.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Screening without any notion of exposure to HIV</td>
<td valign="top" align="center">32 (10.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">HIV-related symptoms/clinical signs</td>
<td valign="top" align="center">28 (8.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Risk of HIV exposure less than 6 months before</td>
<td valign="top" align="center">22 (7.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Risk of exposure to HIV greater than 6 months</td>
<td valign="top" align="center">6 (1.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Confirmation of known seropositivity</td>
<td valign="top" align="center">2 (0.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Sexually transmitted infection</td>
<td valign="top" align="center">7 (2.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">568</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">CD4 lymphocytes at screening (per mm<sup>3</sup>), <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;200</td>
<td valign="top" align="center">87 (14.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">200&#x2013;349</td>
<td valign="top" align="center">127 (21.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">350&#x2013;500</td>
<td valign="top" align="center">139 (23.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;500</td>
<td valign="top" align="center">229 (39.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">299</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">HIV viral load at screening (copies/mm<sup>3</sup>), <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;50</td>
<td valign="top" align="center">48 (9.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">51&#x2013;1,000</td>
<td valign="top" align="center">71 (13.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">1,001&#x2013;30,000</td>
<td valign="top" align="center">281 (52.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;30,000</td>
<td valign="top" align="center">133 (25.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">348</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Centers for Disease Control (CDC) stage, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;A</td>
<td valign="top" align="center">599 (68.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;B</td>
<td valign="top" align="center">131 (14.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;C</td>
<td valign="top" align="center">150 (17.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Mean number of months between HIV diagnosis and AIDS (SD), (<italic>N</italic>&#x2009;&#x003D;&#x2009;150)</td>
<td valign="top" align="center">83.1 (81.9)</td>
</tr>
<tr>
<td valign="top" align="left">History of other sexually transmitted infection (STI), <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">44/881 (5.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Types of STI, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Chlamydia</td>
<td valign="top" align="center">5/881 (0.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Neisseria gonorrhoea</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ano-genital condylomas</td>
<td valign="top" align="center">12/881 (1.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Herpes</td>
<td valign="top" align="center">14/881 (1.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Syphilis</td>
<td valign="top" align="center">13/881 (1.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Trichomoniasis</td>
<td valign="top" align="center">7/881 (0.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Venereal vegetation</td>
<td valign="top" align="center">2/881 (0.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">History of opportunistic infection, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">81/881 (9.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Medical History</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">35/881 (4.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">98/881 (11.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Renal failure, <italic>n</italic>/<italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">17/881 (1.9&#x0025;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label><sup>a</sup></label><p>SD, Standard deviation; AIDS, Acquired Immuno Depression Syndrome; HIV, Human Immunodeficiency Virus.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T2">Table&#x00A0;2</xref> shows that the HIV diagnosis was known in 75.1&#x0025; of pregnancies and that, in 67.6&#x0025; of women, HIV follow-up predated pregnancy. Nearly half of women, 49.4&#x0025;, only had one pregnancy since having been diagnosed with HIV. Although most women received antiretroviral therapy during pregnancy, only 48.5&#x0025; of those with the available information had an undetectable viral load at delivery. Between 2012 and 2022, 93&#x0025; of pregnant women were on antiretroviral therapy.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Description of characteristics and outcomes among 1,774 pregnancies among 881 women living with HIV: French Guiana 1992&#x2013;2022.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">Descriptive statistic<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Mean age at the time of pregnancy (SD) (years)</td>
<td valign="top" align="center">30.3 (6.6)</td>
</tr>
<tr>
<td valign="top" align="left">Start of pre-pregnancy follow-up, <italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">1,199 (67.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Number of pregnancies since HIV diagnosis, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">435 (49.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">202 (22.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">126 (14.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;3</td>
<td valign="top" align="center">118 (13.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Antiretroviral (ARV) treatment during pregnancy, <italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">1,448 (81.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Initiation of ARV treatment, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">During pregnancy</td>
<td valign="top" align="center">659 (45.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Prior to pregnancy</td>
<td valign="top" align="center">789 (54.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Number of ARV lines during pregnancy, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">1,006 (69.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">350 (24.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">74 (5.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;3</td>
<td valign="top" align="center">18 (1.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Viral load at delivery, copies per ml, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264; 50</td>
<td valign="top" align="center">666 (48.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">51&#x2013;400</td>
<td valign="top" align="center">168 (12.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">401&#x2013;1,000</td>
<td valign="top" align="center">83 (6.0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;1,000</td>
<td valign="top" align="center">457 (33.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">400</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">CD4 during pregnancy, per ml, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C; 200</td>
<td valign="top" align="center">189 (14.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">200&#x2013;349</td>
<td valign="top" align="center">327 (24.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">350&#x2013;499</td>
<td valign="top" align="center">337 (25.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265; 500</td>
<td valign="top" align="center">485 (36.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">436</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Pregnancy outcome, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Birth</td>
<td valign="top" align="center">1,481 (84.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Abortion</td>
<td valign="top" align="center">267 (15.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Preterm birth<xref ref-type="table-fn" rid="table-fn3"><sup>b</sup></xref></td>
<td valign="top" align="center">106/581 (18.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Low birth weight among term births (&#x003C;2,500&#x2005;g)<xref ref-type="table-fn" rid="table-fn4"><sup>c</sup></xref></td>
<td valign="top" align="center">7/69 (17&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing</td>
<td valign="top" align="center">26</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><label><sup>a</sup></label><p><italic>N&#x2009;&#x003D;&#x2009;</italic>1,774<italic>.</italic></p></fn>
<fn id="table-fn3"><label><sup>b</sup></label><p>Cayenne maternity only.</p></fn>
<fn id="table-fn4"><label><sup>c</sup></label><p>Available birth weights in a Cayenne sample only.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Overall, 15.3&#x0025; of pregnancies ended with an abortion but between 2012 and 2022 it significantly declined to 10.4&#x0025;. Overall, 99.8&#x0025; of women gave exclusive artificial feeding to their newborn. Since the beginning of data collection, there were a total of 110 newborns infected with HIV representing an overall transmission rate of 6.2&#x0025; (110/1,771). Between 1993 and 2002, the transmission rate was 34&#x0025;, between 2003 and 2012 it was 1.3&#x0025;, and between 2013 and 2022 it was 0.7&#x0025;.</p>
<p><xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> shows the gradual reduction of the viral load at delivery.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Evolution of HIV-1 viral load at delivery.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-04-1264837-g001.tif"/>
</fig>
<sec id="s3a"><title>Preterm deliveries</title>
<p>Overall, in Cayenne, since 2008, 106 of 581 (18.2&#x0025;) pregnancies among women living with HIV with available information were premature before 37 weeks of pregnancy; of these, 33 (5.7&#x0025;) were very preterm deliveries (28 to less than 32 weeks) and 73 (13.3&#x0025;) were late preterm deliveries (&#x003C;37 weeks and &#x003E;32 weeks). In a sample from Cayenne maternity, the median birthweight was 3,050&#x2005;g and 17&#x0025; were considered to have low birth weight (&#x003C;2,500&#x2005;g). Among term births, 7/69 (10&#x0025;) had low birth weight.</p>
<p>Over time, in Cayenne, preterm delivery declined significantly (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>, <italic>&#x03C7;</italic><sup>2</sup> for trend <italic>P</italic>&#x2009;&#x003C;&#x2009;0. 019). Overall, 48 cases of preeclampsia (2.7&#x0025;) were reported.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Evolution of the preterm delivery rate among pregnant women living with HIV in Cayenne.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-04-1264837-g002.tif"/>
</fig>
<p><xref ref-type="sec" rid="s10">Supplementary Table S1</xref> details the number of obstetrical events corresponding to the following ICD 10 codes: O10&#x2013;O16, O20&#x2013;O29, O40&#x2013;O48, O60&#x2013;O75 and O98.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>Here, in a territory combining the highest HIV prevalence of all French territories, the highest fertility rate in Latin America, we provide the first epidemiologic overview of HIV-positive pregnancies. Among pregnant women living with HIV, we show that the preterm delivery rate remained particularly high: in 2022 it was 19.2&#x0025; vs. 13&#x0025; in the general population of French Guiana, and 6.9&#x0025; in the general population of mainland France. The proportion of low birth weight births was also very high: 17&#x0025; vs. 11.9&#x0025; in the general population of French Guiana, and 7.5&#x0025; in the general population of mainland France, and 14.6&#x0025; in the world (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Over half (53&#x0025;) of the general population of French Guiana lives below the poverty threshold, 29&#x0025; lives in great poverty (<xref ref-type="bibr" rid="B15">15</xref>), and persons living with HIV are an even more precarious subpopulation. The link between poor follow-up, psychosocial stressors, and preterm delivery has been previously shown and presumably explain much of this difference (<xref ref-type="bibr" rid="B6">6</xref>). However, HIV itself may also contribute to this very high rate of preterm delivery (<xref ref-type="bibr" rid="B12">12</xref>). Other analytic studies in territories with widespread poverty have yielded contrasting conclusions: some did not demonstrate significant differences (<xref ref-type="bibr" rid="B13">13</xref>) whereas others did (<xref ref-type="bibr" rid="B12">12</xref>). Although the present study was only descriptive, the levels of preterm delivery or low birth weight were substantially greater than in the general population of French Guiana and it is likely that there are indeed worse pregnancy outcomes among women living with HIV than in the general female population of French Guiana. Given the progress in testing and treating women, we hypothesize that the remaining challenges regarding preterm delivery and low birth weight would most benefit from optimal obstetrical follow-up.</p>
<p>In French Guiana, health professionals and non-government organizations have been proactive in reaching vulnerable populations. These treatment and prevention efforts have now led to most women delivering with viral loads beneath transmission thresholds and very low residual transmission, usually in cases of women tested late in their pregnancy or lost to follow-up. Between 2012 and 2022, 93&#x0025; of pregnant women had received ARV treatment, a figure that is only slightly above that of what is reported globally (<xref ref-type="bibr" rid="B13">13</xref>). This emphasizes the residual challenges that remain to follow the most vulnerable women, a fraction of whom escape the reach of the health system.</p>
<p>The present study has a number of limitations. The absence of a proper control group in the present study was a notable limitation. The crude comparisons relied on different data sources for the general population of French Guiana. Our analysis was purely descriptive and spans over 3 decades of multiple gradual changes, in terms of social conditions, of HIV care and more generally of the organization of the health system. It is therefore difficult to pinpoint any single factor involved in the positive trends but rather a convergence of proactive efforts to reach and test pregnant women, improvements of the coordination of health care workers, improvement in treatment strategies, improvements in the tolerance and effectiveness of antiretrovirals being a potent combination to reduce vertical transmission of HIV. Another important limitation is that social factors are probably the major determinant of the studied health outcomes, yet we had no direct measurement of precariousness in our data, so we can only assume &#x2013;not prove&#x2014;that much of what is shown is detrimentally influenced by precariousness. The information about preterm delivery rests on a subsample from Cayenne&#x0027;s level 3 maternity which may bias preterm delivery estimates upwards. Furthermore, the data on birthweight was also a subsample from Cayenne maternity so results should be taken with caution. Despite the above limitations, the present study has some merits as it is the first study to provide real life data on historical trends and remaining challenges in French Guiana; it also provides important information on various standard aspects of HIV infection and their temporal evolution.</p>
<p>In summary, the present study shows that with time the system has been successful in reducing mother to child transmission and preterm births. However, challenges remain because incidence of preterm delivery and low birth weight are still substantially higher than in the general population of pregnant women in French Guiana. Teasing out what fraction is linked to HIV and what fraction is linked to social precariousness and poor follow-up was not possible in this study but, in practice, it seems crucial to implement to continue early and careful obstetrical follow-up for pregnant women living with HIV. Reducing maternal-fetal transmission of HIV necessarily implies efforts to improve access to care for fragile populations.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions. According to French Law data cannot be sent to other structures without prior authorization by the Commission Nationale Informatique et Libert&#x00E9;s. Upon resonable request and with permission from the CNIL anonymized data may be shared. Requests to access these datasets should be directed to <email>corevih@ch-cayenne.fr</email>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Commission Nationale Informatique et Libert&#x00E9;s (CNIL). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>MN: Conceptualization, Formal analysis, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JB: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. SR: Data curation, Writing &#x2013; review &#x0026; editing. AL: Investigation, Writing &#x2013; review &#x0026; editing. AA: Project administration, Writing &#x2013; review &#x0026; editing. CB: Writing &#x2013; review &#x0026; editing. AL: Writing &#x2013; review &#x0026; editing. DD: Writing &#x2013; review &#x0026; editing. ML: Writing &#x2013; review &#x0026; editing. LO: Writing &#x2013; review &#x0026; editing. NE: Writing &#x2013; review &#x0026; editing. NH: Investigation, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s9" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The authors declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgwh.2023.1264837/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgwh.2023.1264837/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/>
</supplementary-material>
</sec>
<ref-list><title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nacher</surname><given-names>M</given-names></name><name><surname>Basurko</surname><given-names>C</given-names></name><name><surname>Douine</surname><given-names>M</given-names></name><name><surname>Lambert</surname><given-names>Y</given-names></name><name><surname>Hcini</surname><given-names>N</given-names></name><name><surname>Elenga</surname><given-names>N</given-names></name><etal/></person-group> <article-title>The epidemiologic transition in French Guiana: secular trends and setbacks, and comparisons with continental France and South American countries</article-title>. <source>Trop Med Infect Dis</source>. (<year>2023</year>) <volume>8</volume>:<fpage>219</fpage>. <pub-id pub-id-type="doi">10.3390/tropicalmed8040219</pub-id><pub-id pub-id-type="pmid">37104345</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nacher</surname><given-names>M</given-names></name><name><surname>Adriouch</surname><given-names>L</given-names></name><name><surname>Huber</surname><given-names>F</given-names></name><name><surname>Vantilcke</surname><given-names>V</given-names></name><name><surname>Djossou</surname><given-names>F</given-names></name><name><surname>Elenga</surname><given-names>N</given-names></name><etal/></person-group> <article-title>Modeling of the HIV epidemic and continuum of care in French Guiana</article-title>. <source>PloS One</source>. (<year>2018</year>) <volume>13</volume>:<fpage>e0197990</fpage>. <pub-id pub-id-type="doi">10.1258/ijsa.2010.009570</pub-id><pub-id pub-id-type="pmid">29795698</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nacher</surname><given-names>M</given-names></name><name><surname>Vantilcke</surname><given-names>V</given-names></name><name><surname>Parriault</surname><given-names>MC</given-names></name><name><surname>Van Melle</surname><given-names>A</given-names></name><name><surname>Hanf</surname><given-names>M</given-names></name><name><surname>Labadie</surname><given-names>G</given-names></name><etal/></person-group> <article-title>What is driving the HIV epidemic in French Guiana?</article-title> <source>Int J STD AIDS</source>. (<year>2010</year>) <volume>21</volume>:<fpage>359</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1258/ijsa.2010.009570</pub-id><pub-id pub-id-type="pmid">20498108</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arantes</surname><given-names>I</given-names></name><name><surname>Bello</surname><given-names>G</given-names></name><name><surname>Darcissac</surname><given-names>E</given-names></name><name><surname>Lacoste</surname><given-names>V</given-names></name><name><surname>Nacher</surname><given-names>M</given-names></name></person-group>. <article-title>Using phylogenetic surveillance and epidemiological data to understand the HIV-1 transmission dynamics in French Guiana</article-title>. <source>AIDS</source>. (<year>2021</year>) <volume>35</volume>:<fpage>979</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1097/QAD.0000000000002817</pub-id><pub-id pub-id-type="pmid">33470610</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nacher</surname><given-names>M</given-names></name><name><surname>Adriouch</surname><given-names>L</given-names></name><name><surname>Melle</surname><given-names>AV</given-names></name><name><surname>Parriault</surname><given-names>M-C</given-names></name><name><surname>Adenis</surname><given-names>A</given-names></name><name><surname>Couppi&#x00E9;</surname><given-names>P</given-names></name></person-group>. <article-title>Country of infection among HIV-infected patients born abroad living in French Guiana</article-title>. <source>PLoS One</source>. (<year>2018</year>) <volume>13</volume>:<fpage>e0192564</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0192564</pub-id><pub-id pub-id-type="pmid">29420591</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Leneuve-Dorilas</surname><given-names>M</given-names></name><name><surname>Favre</surname><given-names>A</given-names></name><name><surname>Carles</surname><given-names>G</given-names></name><name><surname>Louis</surname><given-names>A</given-names></name><name><surname>Nacher</surname><given-names>M</given-names></name></person-group>. <article-title>Risk factors for premature birth in French Guiana: the importance of reducing health inequalities</article-title>. <source>J Matern Fetal Neonatal Med</source>. (<year>2019</year>) <volume>32</volume>:<fpage>1388</fpage>&#x2013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1080/14767058.2017.1403578</pub-id><pub-id pub-id-type="pmid">29130760</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="other"><collab>Interroger les donn&#x00E9;es de mortalit&#x00E9; &#x007C; C&#x00E9;piDc</collab>. <comment>Available online at:</comment> <ext-link ext-link-type="uri" xlink:href="https://www.cepidc.inserm.fr/donnees-et-publications/interroger-les-donnees-de-mortalite">https://www.cepidc.inserm.fr/donnees-et-publications/interroger-les-donnees-de-mortalite</ext-link> <comment>(accessed July 21, 2023)</comment>.</citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mathieu</surname><given-names>M</given-names></name><name><surname>Lambert</surname><given-names>V</given-names></name><name><surname>Carles</surname><given-names>G</given-names></name><name><surname>Picone</surname><given-names>O</given-names></name><name><surname>Carod</surname><given-names>J-F</given-names></name><name><surname>Pomar</surname><given-names>L</given-names></name><etal/></person-group> <article-title>Incidence, causes, and risk factors of stillbirth in an Amazonian context: saint laurent du Maroni maternity ward 2016&#x2013;2021</article-title>. <source>Eur J Obstet Gynecol Reprod Biol X</source>. (<year>2023</year>) <volume>18</volume>:<fpage>100190</fpage>. <pub-id pub-id-type="doi">10.1016/j.eurox.2023.100190</pub-id><pub-id pub-id-type="pmid">37095766</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiao</surname><given-names>P-L</given-names></name><name><surname>Zhou</surname><given-names>Y-B</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Yang</surname><given-names>M-X</given-names></name><name><surname>Song</surname><given-names>X-X</given-names></name><name><surname>Shi</surname><given-names>Y</given-names></name><etal/></person-group> <article-title>Association between maternal HIV infection and low birth weight and prematurity: a meta-analysis of cohort studies</article-title>. <source>BMC Pregnancy Childbirth</source>. (<year>2015</year>) <volume>15</volume>:<fpage>246</fpage>. <pub-id pub-id-type="doi">10.1186/s12884-015-0684-z</pub-id><pub-id pub-id-type="pmid">26450602</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Silva</surname><given-names>Cd</given-names></name><name><surname>Alves</surname><given-names>RdS</given-names></name><name><surname>Santos</surname><given-names>TSD</given-names></name><name><surname>Bragagnollo</surname><given-names>GR</given-names></name><name><surname>Tavares</surname><given-names>CM</given-names></name><name><surname>Santos</surname><given-names>AAPD</given-names></name></person-group>. <article-title>Epidemiological overview of HIV/AIDS in pregnant women from a state of northeastern Brazil</article-title>. <source>Rev Bras Enferm</source>. (<year>2018</year>) <volume>71</volume>:<fpage>568</fpage>&#x2013;<lpage>76</lpage>. <pub-id pub-id-type="doi">10.1590/0034-7167-2017-0495</pub-id><pub-id pub-id-type="pmid">29562013</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lopez</surname><given-names>M</given-names></name><name><surname>Figueras</surname><given-names>F</given-names></name><name><surname>Hernandez</surname><given-names>S</given-names></name><name><surname>Lonca</surname><given-names>M</given-names></name><name><surname>Garcia</surname><given-names>R</given-names></name><name><surname>Palacio</surname><given-names>M</given-names></name><etal/></person-group> <article-title>Association of HIV infection with spontaneous and iatrogenic preterm delivery: effect of HAART</article-title>. <source>AIDS</source>. (<year>2012</year>) <volume>26</volume>:<fpage>37</fpage>&#x2013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.1097/QAD.0b013e32834db300</pub-id><pub-id pub-id-type="pmid">22008651</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Elenga</surname><given-names>N</given-names></name><name><surname>Djossou</surname><given-names>Fl</given-names></name><name><surname>Nacher</surname><given-names>M</given-names></name></person-group>. <article-title>Association between maternal human immunodeficiency virus infection and preterm birth</article-title>. <source>Medicine (Baltimore)</source>. (<year>2021</year>) <volume>100</volume>:<fpage>e22670</fpage>. <pub-id pub-id-type="doi">10.1097/MD.0000000000022670</pub-id><pub-id pub-id-type="pmid">33530154</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mugo</surname><given-names>C</given-names></name><name><surname>Nduati</surname><given-names>R</given-names></name><name><surname>Osoro</surname><given-names>E</given-names></name><name><surname>Nyawanda</surname><given-names>BO</given-names></name><name><surname>Mirieri</surname><given-names>H</given-names></name><name><surname>Hunsperger</surname><given-names>E</given-names></name><etal/></person-group> <article-title>Comparable pregnancy outcomes for HIV-uninfected and HIV-infected women on antiretroviral treatment in Kenya</article-title>. <source>J Infect Dis</source>. (<year>2022</year>) <volume>226</volume>:<fpage>678</fpage>&#x2013;<lpage>86</lpage>. <pub-id pub-id-type="doi">10.1093/infdis/jiac128</pub-id><pub-id pub-id-type="pmid">35403695</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="other"><collab>Low birthweight&#x2014;UNICEF DATA</collab>. <comment>Available online at:</comment> <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/topic/nutrition/low-birthweight/">https://data.unicef.org/topic/nutrition/low-birthweight/</ext-link> <comment>(accessed July 4, 2023)</comment>.</citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="other"><comment>29&#x0025; des Guyanais en situation de grande pauvret&#x00E9; en 2018&#x2014;Insee Analyses Guyane&#x2014;59. Available online at:</comment> <ext-link ext-link-type="uri" xlink:href="https://www.insee.fr/fr/statistiques/6468775">https://www.insee.fr/fr/statistiques/6468775</ext-link> <comment>(accessed January 6, 2023)</comment>.</citation></ref></ref-list>
</back>
</article>