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HIV sero-discordance among married HIV patients initiating anti-retroviral therapy in northern Vietnam

Identifieur interne : 000548 ( Pmc/Corpus ); précédent : 000547; suivant : 000549

HIV sero-discordance among married HIV patients initiating anti-retroviral therapy in northern Vietnam

Auteurs : Vu Van Tam ; Do Duy Cuong ; Tobias Alfven ; Ho Dang Phuc ; Nguyen Thi Kim Chuc ; Nguyen Phuong Hoa ; Vinod Diwan ; Mattias Larsson

Source :

RBID : PMC:5109648

Abstract

Background

In many countries in Asia, the HIV epidemic is in a concentrated phase, with high prevalence in certain risk groups, such as men who inject drugs. There is also a rapid increase of HIV among women. The latter might be due to high levels of sero-discordant couples and increasing transmission from male to female partners over time.

Methods

All adult married patients initiating antiretroviral treatment at four out-patient clinics in Quang Ninh province in north-eastern Vietnam between 2007 and 2009 were asked to participate in the study. Clinical information was extracted from patients’ records, and a structured questionnaire was used to collect social, demographic and economic data.

Results

Two hundred eighty-eight married patients for whom information on the HIV status of their spouse was available were included in the study. Overall, the sero-discordance rate was 58%. The sero-discordance rate was significantly higher among married males, 71% had spouses not infected, than married females, of whom 18% had spouses not infected. Other factors associated with a high rate of sero-discordance were injection drug use (IDU) history, tuberculosis (TB) history and the availability of voluntary counselling and testing (VCT) in residential locations. High sero-concordance was associated with college/university education.

Conclusion

The sero-discordance was significantly higher among married males than married females. Other factors also related to high sero-discordance were history of IDU, history of TB and the availability of VCT in residential locations. In contrast, college/university education and female sex were significantly related to low sero-discordance. To contain the increasing HIV prevalence among women, measures should be taken to prevent transmission among sero-discordant couples.

Trial registration NCT01433601


Url:
DOI: 10.1186/s12981-016-0124-9
PubMed: 27891160
PubMed Central: 5109648

Links to Exploration step

PMC:5109648

Le document en format XML

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<title>Background</title>
<p>In many countries in Asia, the HIV epidemic is in a concentrated phase, with high prevalence in certain risk groups, such as men who inject drugs. There is also a rapid increase of HIV among women. The latter might be due to high levels of sero-discordant couples and increasing transmission from male to female partners over time.</p>
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<title>Methods</title>
<p>All adult married patients initiating antiretroviral treatment at four out-patient clinics in Quang Ninh province in north-eastern Vietnam between 2007 and 2009 were asked to participate in the study. Clinical information was extracted from patients’ records, and a structured questionnaire was used to collect social, demographic and economic data.</p>
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<title>Results</title>
<p>Two hundred eighty-eight married patients for whom information on the HIV status of their spouse was available were included in the study. Overall, the sero-discordance rate was 58%. The sero-discordance rate was significantly higher among married males, 71% had spouses not infected, than married females, of whom 18% had spouses not infected. Other factors associated with a high rate of sero-discordance were injection drug use (IDU) history, tuberculosis (TB) history and the availability of voluntary counselling and testing (VCT) in residential locations. High sero-concordance was associated with college/university education.</p>
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<p>The sero-discordance was significantly higher among married males than married females. Other factors also related to high sero-discordance were history of IDU, history of TB and the availability of VCT in residential locations. In contrast, college/university education and female sex were significantly related to low sero-discordance. To contain the increasing HIV prevalence among women, measures should be taken to prevent transmission among sero-discordant couples.</p>
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NCT01433601</p>
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</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">AIDS Res Ther</journal-id>
<journal-id journal-id-type="iso-abbrev">AIDS Res Ther</journal-id>
<journal-title-group>
<journal-title>AIDS Research and Therapy</journal-title>
</journal-title-group>
<issn pub-type="epub">1742-6405</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">27891160</article-id>
<article-id pub-id-type="pmc">5109648</article-id>
<article-id pub-id-type="publisher-id">124</article-id>
<article-id pub-id-type="doi">10.1186/s12981-016-0124-9</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>HIV sero-discordance among married HIV patients initiating anti-retroviral therapy in northern Vietnam</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Van Tam</surname>
<given-names>Vu</given-names>
</name>
<address>
<email>tamvanvu@yahoo.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cuong</surname>
<given-names>Do Duy</given-names>
</name>
<address>
<email>doduy.cuong@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alfven</surname>
<given-names>Tobias</given-names>
</name>
<address>
<email>tobias.alfven@ki.se</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Phuc</surname>
<given-names>Ho Dang</given-names>
</name>
<address>
<email>hodang54@yahoo.com</email>
</address>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chuc</surname>
<given-names>Nguyen Thi Kim</given-names>
</name>
<address>
<email>chuc.ntk@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hoa</surname>
<given-names>Nguyen Phuong</given-names>
</name>
<address>
<email>hoatuber@yahoo.com</email>
</address>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Diwan</surname>
<given-names>Vinod</given-names>
</name>
<address>
<email>vinod.diwan@ki.se</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-0514-7445</contrib-id>
<name>
<surname>Larsson</surname>
<given-names>Mattias</given-names>
</name>
<address>
<email>mattias.larsson@ki.se</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<aff id="Aff1">
<label>1</label>
Division of Global Health, Department of Public Health Sciences, Karolinska Institute, Stockholm, Sweden</aff>
<aff id="Aff2">
<label>2</label>
Health System Research Project, Ha Noi Medical University, Ha Noi, Vietnam</aff>
<aff id="Aff3">
<label>3</label>
Oxford University Clinical Research Unit, Ha Noi, Vietnam</aff>
<aff id="Aff4">
<label>4</label>
Department of Probability and Mathematical Statistics, Institute of Mathematics, Ha Noi, Vietnam</aff>
</contrib-group>
<pub-date pub-type="epub">
<day>15</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>15</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>13</volume>
<elocation-id>39</elocation-id>
<history>
<date date-type="received">
<day>7</day>
<month>6</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>1</day>
<month>11</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2016</copyright-statement>
<license license-type="OpenAccess">
<license-p>
<bold>Open Access</bold>
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>
) applies to the data made available in this article, unless otherwise stated.</license-p>
</license>
</permissions>
<abstract id="Abs1">
<sec>
<title>Background</title>
<p>In many countries in Asia, the HIV epidemic is in a concentrated phase, with high prevalence in certain risk groups, such as men who inject drugs. There is also a rapid increase of HIV among women. The latter might be due to high levels of sero-discordant couples and increasing transmission from male to female partners over time.</p>
</sec>
<sec>
<title>Methods</title>
<p>All adult married patients initiating antiretroviral treatment at four out-patient clinics in Quang Ninh province in north-eastern Vietnam between 2007 and 2009 were asked to participate in the study. Clinical information was extracted from patients’ records, and a structured questionnaire was used to collect social, demographic and economic data.</p>
</sec>
<sec>
<title>Results</title>
<p>Two hundred eighty-eight married patients for whom information on the HIV status of their spouse was available were included in the study. Overall, the sero-discordance rate was 58%. The sero-discordance rate was significantly higher among married males, 71% had spouses not infected, than married females, of whom 18% had spouses not infected. Other factors associated with a high rate of sero-discordance were injection drug use (IDU) history, tuberculosis (TB) history and the availability of voluntary counselling and testing (VCT) in residential locations. High sero-concordance was associated with college/university education.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The sero-discordance was significantly higher among married males than married females. Other factors also related to high sero-discordance were history of IDU, history of TB and the availability of VCT in residential locations. In contrast, college/university education and female sex were significantly related to low sero-discordance. To contain the increasing HIV prevalence among women, measures should be taken to prevent transmission among sero-discordant couples.</p>
<p>
<italic>Trial registration</italic>
NCT01433601</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords</title>
<kwd>HIV</kwd>
<kwd>ART</kwd>
<kwd>Gender</kwd>
<kwd>Late presentation</kwd>
<kwd>Sero-discordance</kwd>
<kwd>Vietnam</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source>
<institution>the Swedish International Development Cooperation Agency (Sida)</institution>
</funding-source>
<award-id>SWE2007404</award-id>
<principal-award-recipient>
<name>
<surname>Larsson</surname>
<given-names>Mattias</given-names>
</name>
</principal-award-recipient>
</award-group>
</funding-group>
<custom-meta-group>
<custom-meta>
<meta-name>issue-copyright-statement</meta-name>
<meta-value>© The Author(s) 2016</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="Sec1">
<title>Background</title>
<p>In couples where one person is living with HIV and the other is HIV negative, the HIV-negative partner is at continuous risk for infection. Sexual behaviour, viral load and sexually transmitted disease influence the risk for transmission between partners. In most Asian countries, including Vietnam, the HIV epidemic is in a concentrated stage, with the highest HIV prevalence among certain risk groups, such as people who inject drugs (PWID), of whom the majority are men [
<xref ref-type="bibr" rid="CR1">1</xref>
]. In areas with a generalised HIV epidemic, as in many sub-Saharan African countries, the HIV prevalence is higher among women than men [
<xref ref-type="bibr" rid="CR2">2</xref>
,
<xref ref-type="bibr" rid="CR3">3</xref>
]. However, increasing numbers of women are contracting HIV also in settings with concentrated HIV epidemics [
<xref ref-type="bibr" rid="CR2">2</xref>
]. In Vietnam, the first HIV case was detected in 1990. By March 2010, the HIV prevalence among adults aged 15–49 years was estimated to be 0.53%, with 209,424 HIV+ cases reported, of whom 45,227 had died [
<xref ref-type="bibr" rid="CR4">4</xref>
]. Since late 2005, antiretroviral therapy (ART) programs have been scaled up, with funding coming mostly from the U.S. President’s Emergency Plan for AIDS Relief and the Global Fund to Fight AIDS, Tuberculosis and Malaria.</p>
<p>The aim of this project was to study sero-concordance and discordance rates in a cohort of people living with HIV initiating ART who were recruited from 2007 to 2009. A further aim was to study factors influencing discordance and concordance, including gender.</p>
</sec>
<sec id="Sec2">
<title>Methods</title>
<sec id="Sec3">
<title>Study setting</title>
<p>The study was carried out at 4 out-patient clinics (OPCs) in Quang Ninh, a province in north-eastern Vietnam with a population of 1.1 million. Quang Ninh’s economy is growing rapidly, based mainly on industries such as coal mining, cement manufacturing and harbours, as well as tourism associated with the famous Ha Long Bay. Quang Ninh is also among the areas hardest hit by the HIV epidemic in Vietnam, with an estimated HIV prevalence of slightly above 1% among those aged 15–49 years [
<xref ref-type="bibr" rid="CR5">5</xref>
].</p>
</sec>
<sec id="Sec4">
<title>Study participants</title>
<p>Of 660 naïve HIV positive patients eligible for ART who were registered continuously from July 2007 to November 2009 at 4 OPCs in Quang Ninh, Vietnam, 640 patients (97%) gave their consent to participate in a Randomized Controlled Trail (RCT) to assess the effect of peer support on virological treatment failure rates. Of the patients 288 (46%) were married. For the purpose of this study, we included only married patients whose partners were willing to provide their HIV test results. Among these 452 were male (70.6%) and 188 female (29.4%).</p>
<p>Patients in the intervention group received enhanced adherence support from peer supporters and the control group had conventional support. According to the Vietnamese National HIV Guidelines (2005), HIV-infected individuals were eligible to be registered for free at an ART clinic if they: (1) were confirmed HIV positive, (2) possessed valid civil registration information (home address and telephone), (3) had a family member who can act as a supporter, and (4) agreed to enroll and to be followed up in the ART program. Each clinic was staffed with two medical doctors, one adherence counselor, one reception nurse, one phlebotomy nurse, one pharmacist, and one volunteer who was a person living with HIV (PLHIV). The staff were trained on basic and advanced HIV care and treatment and certified by Ministry of Health.</p>
</sec>
<sec id="Sec5">
<title>Data collection</title>
<p>Before initiating ART, each patient was interviewed by a trained interviewer using a structured questionnaire. The questionnaire was designed to collect information about family structure, socioeconomic situation, mode of HIV transmission, history of HIV diagnosis, TB and ART, as well as alcohol and heroin use. The partners of married patients were encouraged to take a HIV test provided free under the OPC’s VCT program. Clinical staging and baseline laboratory tests (including a full blood count, alanine aminotransferase, hepatitis coinfection, CD4+ T cell count and plasma HIV viral load) were collected from the participants’ medical records. The viral load was determined using a method based on the enzyme-linked immunosorbent assay (Exavir™ Load) [
<xref ref-type="bibr" rid="CR6">6</xref>
]).</p>
</sec>
<sec id="Sec6">
<title>Statistical analysis</title>
<p>The characteristics of the enrolled patients were described and grouped first in relation to the HIV status of their wife/husband. Univariate and multivariate analyses were carried out to study the effect of occupation, education level, resident’s area and gender on the HIV sero-status of the patient’s spouse or partner. Other indicators assessed included the following: CD4 count, clinical staging history of TB infection and injecting heroin and known duration of HIV infection between HIV diagnosis and initiating ART.</p>
<p>The collected data were analysed using SPSS version 20. Chi Square tests were performed to examine the difference between proportions, with 95% confidence intervals (CI) used in the comparisons. Odds ratios (ORs) were calculated with 95% CI to compare risks between the two patient groups. Multiple logistic regression equations were used to compute the ORs of each factor adjusted for other factors presented in given models (aORs). In all the tests and the regression models,
<italic>p</italic>
values less than 5% were considered significant.</p>
</sec>
<sec id="Sec7">
<title>Ethical considerations</title>
<p>The study was approved by the Institutional Review Boards of Hanoi Medical University, Ministry of Health, Vietnam (numbers 26/IRB, 66/HMURB, 59/HMURB and 98/HMURB) of Hanoi Medical University) and the Regional Board for Ethics Review from Karolinska Institutet in Stockholm, Sweden (number 2006/1367-31/4). Before conducting the study, written informed consent was obtained and all identifying information (names, initials, etc.) were then omitted to ensure the confidentiality. Patients in the intervention group were informed about the study and that they would be visited by a peer supporter and that the home visits might disclose their HIV status. In order to avoid unintentional disclose of HIV status through study participation efforts were made. The peer supporters where instructed to act in a manner that would not evoke suspicion in the study participants neighborhood. In advance of each visit the peer supporters called the study participants to decide when and where to meet. The study participants could at any time cancel a meeting or decide not to participate in the intervention or study. Biological samples were collected and used only after written consent. All blood samples were coded to protect the identity of patients and to ensure confidentiality.</p>
<p>Both intervention and control groups received equal care and treatment and those who did not fulfill the inclusion criteria’s for the study were managed with a set standard of care and treatment according to the National HIV Treatment Guidelines. Peer-supporters received ART at the study clinics and were treated in the same way as other HIV patients according to the National Guidelines. Moreover, peer-supporters’ viral load (ExaVir
<sup>TM</sup>
Load) were also measured every 6 months, and they received a salary and transportation fees each month. Data were accessible only to research team, data manager and coordinator of the project.</p>
</sec>
</sec>
<sec id="Sec8">
<title>Results</title>
<sec id="Sec9">
<title>Social, demographic and economic characteristics</title>
<p>Among the 288 married patients who were ART-naive and where information on the HIV status of their spouses was available, the majority were HIV-infected men (75%), and the mean age was 32 (SD = 5.5) years (Table 
<xref rid="Tab1" ref-type="table">1</xref>
). The mode of HIV transmission reported among men was mainly sharing needles during heroin use (58%), whereas sexual transmission was reported in 94% of women (
<italic>p</italic>
 < 0.01). IDU, past or present, was reported by half of the patients, significantly higher among males (63%) than females (4.2%) (
<italic>p</italic>
 < 0.01). Of these patients, 18% reported active heroin use in the last 6 months.
<table-wrap id="Tab1">
<label>Table 1</label>
<caption>
<p>Patients’ socio-economic and clinical-laboratory characteristics at enrolment</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="2">Characteristics</th>
<th align="left" rowspan="2">Sub-character</th>
<th align="left" colspan="2">Females (
<italic>n</italic>
 = 72)</th>
<th align="left" colspan="2">Males (
<italic>n</italic>
 = 216)</th>
<th align="left" rowspan="2">
<italic>p</italic>
value*</th>
</tr>
<tr>
<th align="left">(%)</th>
<th align="left">95% CI</th>
<th align="left">(%)</th>
<th align="left">95% CI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="3">Education</td>
<td align="left">Secondary or less</td>
<td align="left">51</td>
<td align="left">39–63</td>
<td align="left">48</td>
<td align="left">41–55</td>
<td char="." align="char" rowspan="3">>0.05</td>
</tr>
<tr>
<td align="left">High school</td>
<td align="left">36</td>
<td align="left">25–48</td>
<td align="left">42</td>
<td align="left">35–49</td>
</tr>
<tr>
<td align="left">College/university</td>
<td align="left">13</td>
<td align="left">6–22</td>
<td align="left">11</td>
<td align="left">7–16</td>
</tr>
<tr>
<td align="left" rowspan="2">Occupation</td>
<td align="left">Unemployed</td>
<td align="left">12</td>
<td align="left">8–17</td>
<td align="left">27</td>
<td align="left">23–32</td>
<td char="." align="char" rowspan="2"><0.05</td>
</tr>
<tr>
<td align="left">Employed</td>
<td align="left">88</td>
<td align="left">80–95</td>
<td align="left">73</td>
<td align="left">68–77</td>
</tr>
<tr>
<td align="left" rowspan="2">Known PLHIV in family</td>
<td align="left">Yes</td>
<td align="left">65</td>
<td align="left">59–72</td>
<td align="left">27</td>
<td align="left">23–31</td>
<td char="." align="char" rowspan="2"><0.01</td>
</tr>
<tr>
<td align="left">No</td>
<td align="left">35</td>
<td align="left">28–42</td>
<td align="left">73</td>
<td align="left">69–78</td>
</tr>
<tr>
<td align="left" rowspan="3">Mode of HIV infection</td>
<td align="left">Sexual intercourse</td>
<td align="left">94</td>
<td align="left">89–98</td>
<td align="left">29</td>
<td align="left">24–33</td>
<td char="." align="char"><0.001</td>
</tr>
<tr>
<td align="left">IDU</td>
<td align="left">4</td>
<td align="left">2–8</td>
<td align="left">64</td>
<td align="left">59–68</td>
<td char="." align="char" rowspan="2"><0.001</td>
</tr>
<tr>
<td align="left">Do not know</td>
<td align="left">2</td>
<td align="left">0–5</td>
<td align="left">7</td>
<td align="left">5–10</td>
</tr>
<tr>
<td align="left" rowspan="2">Disclosure of HIV status</td>
<td align="left">Yes</td>
<td align="left">92</td>
<td align="left">88–95</td>
<td align="left">92</td>
<td align="left">91–96</td>
<td char="." align="char">>0.05</td>
</tr>
<tr>
<td align="left">No</td>
<td align="left">8</td>
<td align="left">4–11</td>
<td align="left">8</td>
<td align="left">5–10</td>
<td align="left"></td>
</tr>
<tr>
<td align="left" rowspan="2">History of IDU</td>
<td align="left">Yes</td>
<td align="left">5</td>
<td align="left">2–8</td>
<td align="left">73</td>
<td align="left">69–78</td>
<td char="." align="char" rowspan="2"><0.001</td>
</tr>
<tr>
<td align="left">No</td>
<td align="left">95</td>
<td align="left">92–96</td>
<td align="left">27</td>
<td align="left">23–31</td>
</tr>
<tr>
<td align="left" rowspan="2">Clinical stage</td>
<td align="left">Stage 3 or 4</td>
<td align="left">33</td>
<td align="left">28–39</td>
<td align="left">61</td>
<td align="left">58–64</td>
<td char="." align="char" rowspan="2"><0.05</td>
</tr>
<tr>
<td align="left">Stage 1 or 2</td>
<td align="left">67</td>
<td align="left">62–70</td>
<td align="left">39</td>
<td align="left">35–44</td>
</tr>
<tr>
<td align="left" rowspan="2">Duration of known HIV infection</td>
<td align="left">≥2 years</td>
<td align="left">36</td>
<td align="left">30–41</td>
<td align="left">45</td>
<td align="left">40–49</td>
<td char="." align="char" rowspan="2">>0.05</td>
</tr>
<tr>
<td align="left"><2 year</td>
<td align="left">64</td>
<td align="left">57–70</td>
<td align="left">55</td>
<td align="left">50–60</td>
</tr>
<tr>
<td align="left" rowspan="2">CD4 cell count</td>
<td align="left">≥100/µl</td>
<td align="left">65</td>
<td align="left">58–71</td>
<td align="left">45</td>
<td align="left">39–51</td>
<td char="." align="char" rowspan="2"><0.01</td>
</tr>
<tr>
<td align="left"><100/µl</td>
<td align="left">35</td>
<td align="left">29–41
<break></break>
159
<break></break>
159</td>
<td align="left">55</td>
<td align="left">50–60
<break></break>
99
<break></break>
60</td>
</tr>
<tr>
<td align="left">CD4 cell count by group (cells/µl)</td>
<td align="left">0–49
<break></break>
50–99
<break></break>
100–149
<break></break>
150–199
<break></break>
≥200
<break></break>
Mean
<break></break>
Median</td>
<td align="left">18.1
<break></break>
12.5
<break></break>
16.7
<break></break>
22.2
<break></break>
30.6
<break></break>
159
<break></break>
159</td>
<td align="left"></td>
<td align="left">46.8
<break></break>
18.1
<break></break>
9.7
<break></break>
11.6
<break></break>
13.9</td>
<td align="left"></td>
<td char="." align="char"><0.0001</td>
</tr>
<tr>
<td align="left">Viral load by group</td>
<td align="left"><400
<break></break>
400–3499
<break></break>
3500–9999
<break></break>
10000–49999
<break></break>
≥50000</td>
<td align="left">0
<break></break>
16.2
<break></break>
6.5
<break></break>
25
<break></break>
52.3</td>
<td align="left"></td>
<td align="left">0
<break></break>
20.8
<break></break>
12.5
<break></break>
26.4
<break></break>
40.3</td>
<td align="left"></td>
<td char="." align="char">>0.05</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>* Chi square test comparison between proportions of males and females</p>
</table-wrap-foot>
</table-wrap>
</p>
<p>A large majority of the patients (92%) had disclosed their HIV+ status to other people (spouse, parents, siblings).</p>
</sec>
<sec id="Sec10">
<title>Clinical characteristics</title>
<p>Clinical stage 3 or 4 (AIDS defining Opportunistic Infections) at diagnosis was significantly (
<italic>p</italic>
 < 0.01) more common among males than females (61 vs. 34%). Males were significantly (
<italic>p</italic>
 < 0.001) more immunosuppressed than females, and the average CD4 counts was (104/µl) and (152/µl), respectively.</p>
</sec>
<sec id="Sec11">
<title>Sero-discordance</title>
<p>Overall, the sero-discordance rate was 58%. Men had a significantly (
<italic>p</italic>
 < 0.01) higher rate of sero-discordance compared to women, 71 and 18%, respectively. Males reporting IDU had significantly higher sero-discordance (
<italic>p</italic>
 < 0.001) compared to males not reporting IDU (79 vs. 58%). Among women reporting IDU compared to women not reporting IDU the observed effect size was lager then among men (33 vs. 17%), however, however no significant difference in sero-discordance.</p>
</sec>
</sec>
<sec id="Sec12">
<title>Discussion</title>
<p>There was a high sero-discordance rate among the married couples in our study, and it was higher among men than among women. The sero-discordance rate shown in this study is higher than that reported in other countries, e.g. Thailand (58%) [
<xref ref-type="bibr" rid="CR7">7</xref>
] or Nigeria (25%) [
<xref ref-type="bibr" rid="CR8">8</xref>
].</p>
<p>High sero-discordance rate was associated with male sex, history of IDU and diagnosis of TB. Patients with a history of IDU might be less sexually active, hence posing less of a risk of transmitting the virus to their spouse, also shown in an earlier study [
<xref ref-type="bibr" rid="CR9">9</xref>
]. Patients with a history of IDU were commonly diagnosed early as part of the on-going sentinel surveillance program among risks groups. This may explain the counterintuitive result that patients with known HIV infection for more than 2 years had a higher sero-discordance rate than patients with known infection less than 2 years. Early HIV detection through sentinel surveillance or VCT before development of severe immunosuppression or indication for ART might sensitise the patients to preventive measures such as condom use or abstinence, as shown in a study from Ethiopia [
<xref ref-type="bibr" rid="CR10">10</xref>
]. In Dong Trieu, where no sentinel surveillance activities or VCT were available until 2002 compared to 1995 in Ha Long City, the sero-concordance rate was significantly higher.</p>
<p>As shown, patients with higher education had a significantly lower sero-discordance rate. This could be due to a more favourable social status in the community, making the individual more socially vulnerable to accidental disclosure and stigmatisation. This factor may be a strong disincentive to HIV testing [
<xref ref-type="bibr" rid="CR11">11</xref>
,
<xref ref-type="bibr" rid="CR12">12</xref>
], thereby delaying diagnosis and increasing the duration of exposure and risk for HIV transmission to the partner. In Vietnam, a high proportion of men have visited female sex workers [
<xref ref-type="bibr" rid="CR13">13</xref>
]. As the latter are a vulnerable group with a high prevalence of HIV and Sexually Transmitted Diseases (STDs) [
<xref ref-type="bibr" rid="CR14">14</xref>
], the male partners may have been infected not only with HIV, but also STDs such as syphilis, herpes type 2 and gonorrhoea, all of which increase the risk for HIV transmission [
<xref ref-type="bibr" rid="CR15">15</xref>
].</p>
<p>There was a much higher rate of sero-discordance among male married patients than female married patients. A study in Italy concluded that the efficiency of male-to-female transmission was 2.3 times greater than that of female-to-male transmission [
<xref ref-type="bibr" rid="CR16">16</xref>
]. Thus, a higher discordance rate would be expected among married male patients with an equal sex distribution of index patients. This factor, combined with the finding that men were more severely immunosuppressed than women, indicating a longer duration of HIV infection, may lead to the conclusion that the male partner was the index case in most cases and infected their female partner. This idea is also supported by the high proportion of widows (40%) in the study population.</p>
<p>High plasma viral load that may increase the risk of transmitting HIV to their sexual partners [
<xref ref-type="bibr" rid="CR17">17</xref>
]. This idea is supported by the general trend of increasing HIV prevalence among women, particularly those who live in areas with a high prevalence of male PWID [
<xref ref-type="bibr" rid="CR18">18</xref>
,
<xref ref-type="bibr" rid="CR19">19</xref>
]. In our cohort we could not find a significant correlation between high baseline viral load and level of sero-discordance (Table 
<xref rid="Tab2" ref-type="table">2</xref>
).
<table-wrap id="Tab2">
<label>Table 2</label>
<caption>
<p>Factors related to HIV sero-discordant/concordant status</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="2">Characteristics</th>
<th align="left" rowspan="2">Variable</th>
<th align="left" colspan="2">Concordance N = 121</th>
<th align="left" colspan="2">Discordance N = 167</th>
<th align="left" colspan="2">Adjusted odds ratio</th>
</tr>
<tr>
<th align="left">
<italic>N</italic>
(%)</th>
<th align="left">95% CI</th>
<th align="left">
<italic>N</italic>
(%)</th>
<th align="left">95% CI</th>
<th align="left">(95% CI)</th>
<th align="left">
<italic>p</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="2">Sex</td>
<td align="left">Male</td>
<td char="(" align="char">62 (29%)</td>
<td align="left">23–35</td>
<td char="(" align="char">154 (71%)</td>
<td align="left">65–77</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">Female</td>
<td char="(" align="char">59 (82%)</td>
<td align="left">71–90</td>
<td char="(" align="char">13 (18%)</td>
<td align="left">10–29</td>
<td align="left">4.8 (2.0–11.4)</td>
<td char="." align="left"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="3">Education</td>
<td align="left">Secondary or less</td>
<td char="(" align="char">56 (40%)</td>
<td align="left">32–49</td>
<td char="(" align="char">84 (60%)</td>
<td align="left">51–68</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">High school</td>
<td char="(" align="char">45 (39%)</td>
<td align="left">30–48</td>
<td char="(" align="char">71 (61%)</td>
<td align="left">52–70</td>
<td align="left">1.2 (0.6–2.3)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left">College/university</td>
<td char="(" align="char">20 (63%)</td>
<td align="left">44–78</td>
<td char="(" align="char">12 (37%)</td>
<td align="left">22–56</td>
<td align="left">3.2 (1.2–8.7)</td>
<td char="." align="left">0.025</td>
</tr>
<tr>
<td align="left" rowspan="2">Occupation</td>
<td align="left">Unemployed</td>
<td char="(" align="char">14 (27%)</td>
<td align="left">16–41</td>
<td char="(" align="char">38 (73%)</td>
<td align="left">59–84</td>
<td align="left">0.8 (0.3–1.9)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left">Employed</td>
<td char="(" align="char">107 (45%)</td>
<td align="left">39–52</td>
<td char="(" align="char">129 (55%)</td>
<td align="left">48–61</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left" rowspan="2">Having children</td>
<td align="left">Yes</td>
<td char="(" align="char">89 (40%)</td>
<td align="left">34–47</td>
<td char="(" align="char">132 (60%)</td>
<td align="left">53–66</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">No</td>
<td char="(" align="char">32 (48%)</td>
<td align="left">36–60</td>
<td char="(" align="char">35 (52%)</td>
<td align="left">40–64</td>
<td align="left">1.3 (0.6–2.7)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left" rowspan="4">Resident’s area</td>
<td align="left">Dong Trieu</td>
<td char="(" align="char">25 (68%)</td>
<td align="left">50–81</td>
<td char="(" align="char">12 (32%)</td>
<td align="left">19–49</td>
<td align="left">5.2 (1.7–15.4)</td>
<td char="." align="left">0.003</td>
</tr>
<tr>
<td align="left">Uong Bi</td>
<td char="(" align="char">20 (47%)</td>
<td align="left">31–62</td>
<td char="(" align="char">23 (53%)</td>
<td align="left">38–69</td>
<td align="left">2.5 (0.997–6.5)</td>
<td char="." align="left">0.051</td>
</tr>
<tr>
<td align="left">Yen Hung</td>
<td char="(" align="char">16 (46%)</td>
<td align="left">29–63</td>
<td char="(" align="char">19 (54%)</td>
<td align="left">37–71</td>
<td align="left">2.4 (0.9–6.8)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left">Ha Long</td>
<td char="(" align="char">60 (35%)</td>
<td align="left">28–42</td>
<td char="(" align="char">113 (65%)</td>
<td align="left">58–72</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left" rowspan="3">Mode of HIV infection</td>
<td align="left">Sexual intercourse</td>
<td char="(" align="char">85 (60%)</td>
<td align="left">51–68</td>
<td char="(" align="char">57 (40%)</td>
<td align="left">32–48</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">IDU</td>
<td char="(" align="char">26 (21%)</td>
<td align="left">14–29</td>
<td char="(" align="char">100 (79%)</td>
<td align="left">71–86</td>
<td align="left">0.4 (0.2–1.1)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left">Do not know</td>
<td char="(" align="char">10 (42%)</td>
<td align="left">23–63</td>
<td char="(" align="char">14 (58%)</td>
<td align="left">37–77</td>
<td align="left">0.6 (0.2–2.0)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left" rowspan="2">Hepatitis coinfection</td>
<td align="left">Yes</td>
<td char="(" align="char">29 (32%)</td>
<td align="left">23–42</td>
<td char="(" align="char">62 (68%)</td>
<td align="left">54–77</td>
<td align="left">0.6 (0.3–1.3)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left">No</td>
<td char="(" align="char">92 (47%)</td>
<td align="left">40–54</td>
<td char="(" align="char">105 (53%)</td>
<td align="left">46–60</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left" rowspan="2">History of IDU</td>
<td align="left">Yes</td>
<td char="(" align="char">31 (22%)</td>
<td align="left">16–30</td>
<td char="(" align="char">109 (78%)</td>
<td align="left">70–84</td>
<td align="left">0.6 (0.3–1.3)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left">No</td>
<td char="(" align="char">90 (61%)</td>
<td align="left">52–69</td>
<td char="(" align="char">58 (39%)</td>
<td align="left">31–48</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left" rowspan="2">Clinical stage</td>
<td align="left">Stage 3 or 4</td>
<td char="(" align="char">68 (49%)</td>
<td align="left">40–57</td>
<td char="(" align="char">71 (51%)</td>
<td align="left">43–59</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">Stage 1 or 2</td>
<td char="(" align="char">53 (36%)</td>
<td align="left">28–44</td>
<td char="(" align="char">96 (64%)</td>
<td align="left">56–72</td>
<td align="left">0.9 (0.4–1.7)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left" rowspan="2">Duration of known HIV infection</td>
<td align="left">≥2 years</td>
<td char="(" align="char">80 (46%)</td>
<td align="left">39–54</td>
<td char="(" align="char">93 (54%)</td>
<td align="left">46–61</td>
<td char="." align="left">1</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left"><2 year</td>
<td char="(" align="char">41 (36%)</td>
<td align="left">27–45</td>
<td char="(" align="char">74 (64%)</td>
<td align="left">55–73</td>
<td align="left">0.6 (0.3–1.3)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left" rowspan="2">History of TB</td>
<td align="left">Yes</td>
<td char="(" align="char">10 (25%)</td>
<td align="left">13–41</td>
<td char="(" align="char">30 (75%)</td>
<td align="left">58–87</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">No</td>
<td char="(" align="char">111 (45%)</td>
<td align="left">39–51</td>
<td char="(" align="char">137 (55%)</td>
<td align="left">49–61</td>
<td align="left">0.2 (0.05–0.8)</td>
<td char="." align="left">0.026</td>
</tr>
<tr>
<td align="left" rowspan="2">CD4 cell count</td>
<td align="left">≥100/µl</td>
<td char="(" align="char">73 (52%)</td>
<td align="left">43–60</td>
<td char="(" align="char">68 (48%)</td>
<td align="left">40–57</td>
<td char="." align="left">1</td>
<td align="left"></td>
</tr>
<tr>
<td align="left"><100/µl</td>
<td char="(" align="char">48 (33%)</td>
<td align="left">25–41</td>
<td char="(" align="char">99 (67%)</td>
<td align="left">59–75</td>
<td align="left">1.1 (0.6–2.2)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left" rowspan="2">Viral load</td>
<td align="left">≥100,000 copies/ml</td>
<td char="(" align="char">40 (39%)</td>
<td align="left">29–49</td>
<td char="(" align="char">63 (61%)</td>
<td align="left">51–70</td>
<td align="left">1.1 (0.5–2.1)</td>
<td align="left">NS</td>
</tr>
<tr>
<td align="left"><100,000 copies/ml</td>
<td char="(" align="char">81 (44%)</td>
<td align="left">37–51</td>
<td char="(" align="char">104 (56%)</td>
<td align="left">49–63</td>
<td align="left">1</td>
<td align="left"></td>
</tr>
</tbody>
</table>
</table-wrap>
</p>
<p>As all the patients were included in the study at the start of ART, the effect of viral suppression on transmission rates is not a likely cause of the high sero-discordance rate, although this has been shown to be the case in other studies [
<xref ref-type="bibr" rid="CR20">20</xref>
]. TB may occur at a modest level of immunosuppression, and individuals diagnosed with TB are tested for HIV. These factors might have led to earlier diagnosis and hence a reduction in the exposure time for the spouses. The deterioration in health, as well as common stigmatisation of TB, may have decreased the sexual activity and hence the exposure of the spouse [
<xref ref-type="bibr" rid="CR9">9</xref>
].</p>
<p>The high sero-discordance rates of the HIV+ married men may indicate that a large part of the population was aware of preventive measures, especially in the areas where VCT has been carried out for a longer duration. However, the high number of female spouses at risk of exposure emphasises the need for continued and increased measures to prevent transmission such as Information, Education and Communication programs and provision of condoms in the community to prevent HIV transmission among couples [
<xref ref-type="bibr" rid="CR21">21</xref>
,
<xref ref-type="bibr" rid="CR22">22</xref>
]. In Zambia, it has been reported that the ideological stance in the U.S. President’s Emergency Plan for AIDS Relief to promote abstinence and faithfulness before condoms (the ‘ABC’ approach) might have deterred the organisations involved in the implementation of the program from giving information and providing condoms to at-risk populations [
<xref ref-type="bibr" rid="CR23">23</xref>
]. The ABC approach has not been so influential in Vietnam where condoms have been promoted as a core part of the prevention program. This may have influenced the comparably high rates of sero-discordance reported, in combination with other factors such as the prevalence of IDU and the rate of sexual HIV transmission.</p>
<p>Early initiation of ART reduce sexual transmission, especially among sero-discordant couples, the incidence of Opportunistic Infections (OIs) and death [
<xref ref-type="bibr" rid="CR24">24</xref>
<xref ref-type="bibr" rid="CR31">31</xref>
]. The risk for transmission is proportional to the viral load in combination with other factors that increase the risk for blood to blood contact as STD’s, genital lesions and anal intercourse. Hence viral load monitoring is important to assess both the effect of treatment as well early detection of increased risk for HIV transmission, especially among sero-discordant couples (27). In seen in Table 
<xref rid="Tab2" ref-type="table">2</xref>
there were no significant difference in viral load between sero-concordant and discordant or male and females. In many low-income countries, patients are generally diagnosed at a late stage of the disease and the ART coverage is in many places still low [
<xref ref-type="bibr" rid="CR28">28</xref>
]. As seen in our study, there was limited access to ART, even for those patients who were severely immunosuppressed and with high viral load. The lack of access was mainly due to the program’s regulation, under which the number of patients started on ART each month was limited to avoid overloading health staff.</p>
<p>There are some methodological considerations in this study. Non-naïve was an exclusion criteria, hence patients that had used ART prior to enrolment were not asked to join the RCT. Therefore, this cohort might not be representative of HIV patients in Vietnam. Indicators such as IDU and history of TB were self-reported, and this might have caused an underestimation. Information regarding number of years married, number of sex partners or sexual intercourse behaviour was not collected. Thus, the data might not represent the magnitude of all predictors of sero-discordance among married patients. As the study included only patients who registered at OPCs, information on patients who have not yet registered is lacking. Thus, the study does not fully reflect the entire characteristics of People Living with HIV in Vietnam.</p>
</sec>
<sec id="Sec13">
<title>Conclusions</title>
<p>There was a high sero-discordance rate among the married patients. Being a female, having education at college/university level and living in an area with late initiation of VCT were predictors of higher HIV sero-concordance, whereas being male, having a history of IDU and TB and living in an area with earlier VCT initiation were predictors of the HIV sero-discordance of the partner. To contain the increasing HIV prevalence among women and prevent transmission among sero-discordant couples, measures should be taken to reduce the HIV viral load and exposure. These include providing increased information, as well as condoms and ART to the HIV-positive partner, regardless of their immune status. Pre-Exposure Prophylaxis (PrEP) might in some cases also be an option to reduce transmission. Viral load monitoring is important to assess the effect of treatment, early detection treatment failure or poor adherence, as well as of increased risk for HIV transmission, especially among sero-discordant couples.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>HIV</term>
<def>
<p>human immunodeficiency virus</p>
</def>
</def-item>
<def-item>
<term>PWID</term>
<def>
<p>people who inject drugs</p>
</def>
</def-item>
<def-item>
<term>IDU</term>
<def>
<p>injection drug use</p>
</def>
</def-item>
<def-item>
<term>TB</term>
<def>
<p>tuberculosis</p>
</def>
</def-item>
<def-item>
<term>VCT</term>
<def>
<p>voluntary counselling and testing</p>
</def>
</def-item>
<def-item>
<term>ART</term>
<def>
<p>antiretroviral therapy</p>
</def>
</def-item>
<def-item>
<term>OPCs</term>
<def>
<p>out-patient clinics</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>confidence intervals</p>
</def>
</def-item>
<def-item>
<term>ORs</term>
<def>
<p>odds ratios</p>
</def>
</def-item>
<def-item>
<term>STDs</term>
<def>
<p>sexually transmitted diseases</p>
</def>
</def-item>
<def-item>
<term>ABC</term>
<def>
<p>abstinence, be faithful, condoms</p>
</def>
</def-item>
<def-item>
<term>PLHIV</term>
<def>
<p>people living with HIV</p>
</def>
</def-item>
</def-list>
</glossary>
<ack>
<title>Authors’ contributions</title>
<p>VVT: study design, data collection, data analysis, manuscript writing; DDC: study design, data collection, manuscript writing; NPH: study design, data collection, manuscript writing; TA: study design, manuscript writing; NTKC: study design, data collection, manuscript writing; HDP: data analysis, manuscript writing; VD: data analysis, manuscript writing; ML: study design, data collection, data analysis, manuscript writing. All authors read and approved the final manuscript.</p>
<sec id="FPar1">
<title>Acknowledgements</title>
<p>This study was funded by the Swedish International Development Cooperation Agency (Grant No. SWE2007404) and the European Union Framework Program 7 (Project No: 222946). We wish to acknowledge support and contributions from the directorial board and our colleagues at Uong Bi hospital. We also acknowledge the teams’ work at the OPC of the provincial hospital in Quang Ninh, the Health Centre in Ha Long and Yen Hung district hospital. A special thanks to the study participants, as well as to their families, for their valuable contribution to the study.</p>
</sec>
<sec id="FPar2">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<sec id="FPar3">
<title>Availability of data and materials</title>
<p>All data can be obtained from the first author and corresponding author on request.</p>
</sec>
<sec id="FPar4">
<title>Ethics approval and consent to participate</title>
<p>Consent to publish: has been obtained from all authors and participants.</p>
</sec>
<sec id="FPar5">
<title>Funding</title>
<p>Swedish International Development Cooperation Agency (SIDA) and the CHAIN EU FP7. Trial registration: NCT01433601.</p>
</sec>
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