<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AID</journal-id><journal-title-group><journal-title>Advances in Infectious Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-2648</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/aid.2018.82007</article-id><article-id pub-id-type="publisher-id">AID-85217</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Evaluation of Early Warning Indicators of ARV Resistance to HIV in the Hospital of Tivaouane from 2008 to 2016
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Agbogbenkou</surname><given-names>Tévi Déla-dem Lawson</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndeye</surname><given-names>Astou Lakhe</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Haby</surname><given-names>Dione</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Papa</surname><given-names>Souleymane Toure</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamadou</surname><given-names>Ba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndeye</surname><given-names>Biram Niang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bernard</surname><given-names>Marcel Diop</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sylvie</surname><given-names>Audrey Diop-Nyafouna</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Infectious and Tropical Diseases Department, Fann Teaching University Hospital, Dakar, Senegal</addr-line></aff><aff id="aff1"><addr-line>Department of Health, Thies University, Thies, Senegal</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>lawsalomon@yahoo.fr(ATDL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>09</day><month>05</month><year>2018</year></pub-date><volume>08</volume><issue>02</issue><fpage>54</fpage><lpage>63</lpage><history><date date-type="received"><day>8,</day>	<month>May</month>	<year>2018</year></date><date date-type="rev-recd"><day>9,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>12,</day>	<month>June</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: HIV resistance to antiretroviral is currently a global concern, and requires increased surveillance in a context of widespread ARV treatment. 
  Objective: To evaluate early warning indicators of HIV resistance to ARVs in the Hospital of Tivaouane (Senegal) where viral load was not routinely available.
   Methods: This is a cross-sectional retrospective study from 2008-2016. The etraction tool (May 2010 version) was used to analyze the EWI. 
  Results: We collected 360 HIV positive patients followed on average for 3.57 years &#177; 3.02. 2009, 2010 and 2012 recorded 100% ARV prescribing rates. Throughout the study period, the percentage of patients lost to follow-up during the first 12 months of treatment was less than 20%. Virtually, all patients were still under primary ARVT over 12-month treatment. All patients (100%) withdrew their ARV drugs on time. No stock storage regarding various classes of ARVs was noted during the study period. 
  Conclusion: At the end of this study we recommend to maintain regular follow-up of EWI, and combine it with the achievement of viral load.
 
</p></abstract><kwd-group><kwd>HIV</kwd><kwd> Resistance</kwd><kwd> EWI</kwd><kwd> Tivaouane</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>HIV resistance to drugs has become a serious concern on a global scale. The WHO 2017 Report indicates in some places, a rate of resistance to some of the most used drugs against this virus, more than 10% [<xref ref-type="bibr" rid="scirp.85217-ref1">1</xref>] . Such resistance can cause the failure of the treatment. To monitor and prevent HIV resistance to ARVs, since 2008, WHO has developed Early Warning Indicators (EWI) to estimate associated factors and R-ARV (Resistance to ARVs) without the need to perform resistance to ARV tests. In Senegal, the global resistance rate within the public health system, in Dakar, the capital, is put at 6.5% over M12 and 8.9% over M24 [<xref ref-type="bibr" rid="scirp.85217-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref3">3</xref>] . With the decentralization of access to ARVs performed in Senegal within regions in 2001, the number of PLHIV under ARV treatment increased significantly from 1855 patients in 2004 to 2151 in December 2017 and close to 62% of these patients under ARV lived in a decentralized area where virologic monitoring is not yet effective, due to some technical requirements that are generally to be considered in monitoring patients, plus problems connected to the collect and transfer of samples to agreed laboratories in the capital [<xref ref-type="bibr" rid="scirp.85217-ref2">2</xref>] . The increased use of HIV treatment with ARVs in low- and middle-income countries is seen as a factor that has led to the resistance to some kinds of treatment.</p><p>It is in this context that we conducted this study in the Hospital of Tivaouane. The management and prescription of ARVs started from 2008 until 2017, the viral load as well as simplified alternative methods such as DBS for outlying areas was not routinely available, thus not allowing an optimal surveillance of therapeutic failures and of the resistance [<xref ref-type="bibr" rid="scirp.85217-ref3">3</xref>] . The objectives were:</p><p>・ Evaluation of early warning indicators of resistance to HIV in this hospital from 2008 to 2016.</p><p>・ Making recommendations for the prevention of resistance to ARVs.</p></sec><sec id="s2"><title>2. Methology</title><p>Our study was carried on over the 8-year period (1<sup>st</sup> January 2008 to 31<sup>st</sup> December 2016), which concerns HIV-infected patients followed-up in the hospital of Tivaouane, a level-1 public health institution (PHI). The Medical and psychosocial care for Persons life of HIV (PLHIV) is ensured by a multidisciplinary staff composed of doctors from various specialized medical fields (a general practitioner, a dermatologist and an infectologist) and a pharmacist. Following screening and the start of treatment, patients are checked every second month for a consultation, except in case of emergency. Doctors are assisted in care-giving by a staff of caregivers responsible for further counseling and for the search for lost to follow-up patients. Basic biological tests and CD4 count are available for the purpose of follow-up. This hospital does not have any appliance to measure viral load. A device measuring viral load has been made available to the Thies medical region center since the end of March 2016 (Provincial capital).</p><p>The distribution of ARVs and stock management come under the responsibility of the pharmacist. Patients whose records were unusable and prophylaxis cases got after exposure to blood, other biological products and sex were not included.</p><p>Data was collected from individual patient, patient follow-up, and ARV dispensing records; drug stock cards, as well as data in the PLHIV treatment database established by the National Council for the Fight against AIDS (CNLS).</p><p>As part of our study, five early warning indicators (EWIs) were selected from the eight proposed by WHO. This choice is justified by the fact that after situational analysis, only the five indicators were accessible and could be informed; it is as follow:</p><p>・ EWI 1: Prescribing Practices for ARVT (Prescribing Indicator): Determine the percentage of patients starting ARVT in the site during a selected period, from those who were previously prescribed an appropriate fist-line ARVT.</p><p>&#216; The target is 100%.</p><p>・ EWI 2: Patients lost to follow-up during the first 12 months: this is the percentage among patients starting ARVT in the site during a selected period, from those lost to follow-up within 12 months after the beginning of the treatment.</p><p>&#216; The target is less 20%.</p><p>・ EWI 3a: Patients receiving first-line ARVT over 12 months (retention indicator): this is the percentage of patients starting ARVT in the site during a selected period from those who continue to follow an appropriate first intention ARVT 12 month later.</p><p>&#216; The recommended target is greater than or equal to 70%.</p><p>・ EWI 4a: Withdrawal of ARV drugs on time: this is the percentage of patients withdrawing drugs in a selected month (denominator month) from those who have withdrawn on time prescribed ARV drugs within the next 2 months.</p><p>&#216; Target is greater than 90%.</p><p>・ EWI 6: Steady delivery of ARVs: this is the percentage of the current month of a given year during which no stock shortage of various classes of ARVs occurred.</p><p>&#216; The target is 90%.</p><p>The data entry and analysis were carried out using Microsoft Excel 2016 software. The averages and percentages were compared using the chi2 test. Any difference below 0.05 was considered to be statistically significant.</p><p>For the calculation of EWIs, data entry and analysis were carried out using the EWI Extraction.</p><p>Tool developed by WHO (May 2010 version) [<xref ref-type="bibr" rid="scirp.85217-ref4">4</xref>] .</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Characteristics of PLHIV Followed in Tivaouane</title><p>From 2008 to 2016, 360 patients living with HIV were followed in the Hospital of Tivaouane. Their general characteristics are summarized in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_2"><title>3.2. Early Warning Indicators of Resistance to HIV</title><p>・ IAP1: ARVT prescribing practices (Prescribing indicator)</p><p>During the follow-up, we observed a variation of prescribing indicators</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> General characteristics of PLHIV followed-up in Tivaouane</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Parameter</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >29</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >254</td><td align="center" valign="middle" >71</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Meddle age &#177; standard deviation</td><td align="center" valign="middle" >42 &#177; 12.8</td><td align="center" valign="middle" >[6 months - 83 years old]</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Occupation</td><td align="center" valign="middle" >Jobless</td><td align="center" valign="middle" >217</td><td align="center" valign="middle" >60</td></tr><tr><td align="center" valign="middle" >Informal sector</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle" >Other ones</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Marital status</td><td align="center" valign="middle" >Bachelor</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Widower</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >Not specified</td><td align="center" valign="middle" >218</td><td align="center" valign="middle" >60</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Profile Serological</td><td align="center" valign="middle" >HIV1</td><td align="center" valign="middle" >306</td><td align="center" valign="middle" >85</td></tr><tr><td align="center" valign="middle" >HIV2</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle" >HIV1 + 2</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Treatment</td><td align="center" valign="middle" >1<sup>st</sup>-line</td><td align="center" valign="middle" >178</td><td align="center" valign="middle" >92</td></tr><tr><td align="center" valign="middle" >2<sup>nd</sup>-line</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >3<sup>rd</sup>-line</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Follow-up Medium duration &#177; Standard derivation</td><td align="center" valign="middle" >3.57 years old &#177; 3.02</td><td align="center" valign="middle" >[13 month - 10 years old]</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Progressive Modalities</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >Ongoing follow-up</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >46</td></tr><tr><td align="center" valign="middle" >Lost to follow-up</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >26</td></tr><tr><td align="center" valign="middle" >Transfer</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >8</td></tr></tbody></table></table-wrap><p>depending on the time. Only the years 2009, 2010 and 2012 recorded 100% rates, which were the target. Other years had rates ranging from 93.5% to 96.2% (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>・ IPA 2: Patients lost to follow-up during the first 12 years of ART (Lost-to-follow-up indicator):</p><p>From 2008 to 2016, approximately 10% of patients were considered to be lost to follow-up over 12 months. This rate will drop over M24 and M36, and then increase over M60. Nevertheless, it remained below the target of less than 20% (see <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>・ IPA 3a: Patients on appropriate first-line ART over 12 months (retention indicator).</p><p>Among patients under first-line ART, more than 90% were still under this treatment after follow-up over 12 months (see <xref ref-type="table" rid="table4">Table 4</xref>). The recommended target is greater than or equal to 70%.</p><p>・ EWI 4a: Withdrawing ARV drugs within indicating deadlines for this purpose.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution according to the evolution of ARV prescribing practices over years from 2008 to 2016</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Years</th><th align="center" valign="middle" >PLHIV starting their ARVT</th><th align="center" valign="middle" >PLHIV under appropriate treatment</th><th align="center" valign="middle" >EWI1 (%)</th></tr></thead><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >93.5</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >94.7</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >95.1</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >93.9</td></tr><tr><td align="center" valign="middle" >2015</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >96.2</td></tr><tr><td align="center" valign="middle" >2016</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >95.7</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of patients based on changing terms</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Follow over M12</th><th align="center" valign="middle" >Follow over M24</th><th align="center" valign="middle" >Follow over M36</th><th align="center" valign="middle" >Follow over M60</th></tr></thead><tr><td align="center" valign="middle" >Dead patients</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >Transferred patients</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Lost to follow-up patients</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle" >Total patients under ARVT</td><td align="center" valign="middle" >289</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >205</td><td align="center" valign="middle" >192</td></tr><tr><td align="center" valign="middle" >Proportion of Lost to follow-up</td><td align="center" valign="middle" >11.7%</td><td align="center" valign="middle" >4.5%</td><td align="center" valign="middle" >2.4%</td><td align="center" valign="middle" >3.1%</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Retention of patients over 12 months under first-line ART</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Years</th><th align="center" valign="middle" >Appropriate first-line treatment</th><th align="center" valign="middle" >Keeping first-line treatment over M12</th><th align="center" valign="middle" >Retention indicator over M12 (%)</th></tr></thead><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >95.34</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >92.59</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >96.66</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >97.43</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >93.54</td></tr><tr><td align="center" valign="middle" >2015</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >92</td></tr><tr><td align="center" valign="middle" >2016</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>All patients (100%) withdrew their ARV drugs within deadlines.</p><p>・ EWI 6a: Regular delivery of ARV</p><p>We didn’t note any stock storage during our period of study.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This study, on patients infected by HIV followed-up in the Hospital of Tivaouane from January 2008 to December 2016, allowed us to better apprehend their socio-demographic, clinic, para-clinical and progressive characteristics; and estimate EWIs of the resistance in this caregiving center at a decentralized level.</p><p>Results from the exploitation of data give rise to the following feedback:</p><p>・ General characteristics of the population of the study</p><p>From 2008 to 2016, PLVIH have been followed in our structure; epidemiologically, our patients show (gender, middle-age, occupation, marital status) the same characteristics as those followed-up within other structures in Senegal [<xref ref-type="bibr" rid="scirp.85217-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref7">7</xref>] and in Sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.85217-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref9">9</xref>] . The average follow-up duration was 42.84 months. The most used treatment was the combination of 2 nucleotide analogues into a unique non-nucleotide analogue of the inverse transcriptase with higher proportion of schema made of Tenofovir. This protocol complies with first-line national (ISA ARV) and international recommendations. Only 15 patients from our cohort were under second-line treatment. No patient was under third-line treatment.</p><p>Without surveillance of viral load, the transition to second-line diets is sometimes delayed, and then cause a second accumulation of mutations of resistance, which can impair the effectiveness of the second-line ARVT [<xref ref-type="bibr" rid="scirp.85217-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref5">5</xref>] .</p><sec id="s4_1"><title>4.1. EWI Characteristics</title><p>Early warning indicators are needed for assessing the risk of HIV resistance to antiretroviral, and should allow us to understand the risks of HIV resistance to ARVs due to failure in the management of the disease by ARVs.</p><p>In our study we took an interest in the following indicators:</p><p>- Prescription practices;</p><p>- Lost to follow-up patients during the first 12 months of ART;</p><p>- Retention of patients under first-line ART in the 12<sup>th</sup> month;</p><p>- Withdrawal of drugs on time;</p><p>- Stock storage.</p><p>Most of the studies on this theme are focused on several sites, which have not been the case in ours, which is focused on a single site, but this provides us an outline at local level.</p></sec><sec id="s4_2"><title>4.2. Prescription Practices (EWI1)</title><p>Only the years 2009, 2010 and 2012 recorded 100% rates which were the target. This could be due to various changes to national guidelines over the study period regarding first-line protocols. Such changes were due either to a lack or withdrawal of some molecules, or to the sale of new ARVs, or to the standardization of protocols in relation to international standards.</p><p>Nevertheless, the threshold is higher than the one found in the work achieved in C&#244;te d'Ivoire, where only 11% of sites had reached the threshold of at least 70% of patients on appropriate first-line treatment [<xref ref-type="bibr" rid="scirp.85217-ref10">10</xref>] .</p></sec><sec id="s4_3"><title>4.3. Those Lost to Follow in the First 12 Months of Antiretroviral Treatment (EWI2)</title><p>In Senegal, the estimate at national level for retention regarding care showed that 75.7% of adults were kept after 12 months of treatment [<xref ref-type="bibr" rid="scirp.85217-ref2">2</xref>] .</p><p>In our documentation, we recorded about 10% of lost to follow-up over 12, or a retention rate of 90%. Such figure is similar to that found in a study conducted in the Fann’s Infectious Diseases Department, a reference Department as part of caregiving for PLHIV where it was 11.1% [<xref ref-type="bibr" rid="scirp.85217-ref9">9</xref>] . It is significantly lower than that found in C&#244;te d’Ivoire where a total of 33% of patients were lost to follow-up during the first 12 months of antiretroviral treatment. However, it should be noted that, 20% of sites had less than 20% of lost to follow-up patients [<xref ref-type="bibr" rid="scirp.85217-ref10">10</xref>] .</p><p>However, in Namibia, the retention rate was 79% after 12 months for adults, and 82% for pediatrics [<xref ref-type="bibr" rid="scirp.85217-ref11">11</xref>] . In Vietnam, it was 81.2% among adults, and 84.4% among children [<xref ref-type="bibr" rid="scirp.85217-ref12">12</xref>] . However, it should be noted that, in this latest study, retention regarding care rates between main sites and corner sites was similar for adults and pediatrics.</p><p>This finding is somewhat amazing, as decentralized sites can be expected to be better in keeping treated patients due to their convenience and reduced size. For example, Chan et al. demonstrated that patients treated in decentralized health centers in Malawi were 60% less likely to be lost to follow-up for the first 10 months of care [<xref ref-type="bibr" rid="scirp.85217-ref13">13</xref>] . However, a similar study conducted in Kenya showed that, patients in a primary health care facility were less likely to be lost to follow-up than those enrolled in a secondary health facility. Distance can also be a curb [<xref ref-type="bibr" rid="scirp.85217-ref14">14</xref>] . Maru showed that, with a statistically significant difference, patients whose residence was distant stopped their follow-up more easily [<xref ref-type="bibr" rid="scirp.85217-ref15">15</xref>] .</p></sec><sec id="s4_4"><title>4.4. Percentage of Patients Kept under First-Line Treatment over 12 Months (EWI3a)</title><p>Among patients under first-line ARVT, more than 90% were still under this treatment after 12-month follow-up. In C&#244;te d’Ivoire, 51% of patients are still under appropriate first-line treatment over 12 months [<xref ref-type="bibr" rid="scirp.85217-ref10">10</xref>] .</p><p>According to the 2016 EWI WHO report, 73.5% of individuals out of 7,062 clinics in 50 countries during the 2004-2014 periods were kept in care facilities 12 months after initiation of ARVT [<xref ref-type="bibr" rid="scirp.85217-ref16">16</xref>] . To keep adequate suppression of virus replication, the ARV treatment adherence level should be greater than 90%. The failure to comply with this results in the emergence of virus resistance causing therapeutic failure. The World Health Organization recommends second-line treatment in the event of failure of first-line treatment [<xref ref-type="bibr" rid="scirp.85217-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.85217-ref17">17</xref>] .</p></sec><sec id="s4_5"><title>4.5. Withdrawing Drugs on Time (EWI4a)</title><p>This is an important measure of the adherence of the patient linked with HIV resistance, virologic failure, and increased mortality. Regular 48-hour treatment interruptions are certainly linked with virologic failure and the emergence of virus resistance, so it is important to follow-up withdrawals on time to ensure uninterrupted ARV adherence. In our documentation, data from pharmacy show a 100% rate. In Namibia, only 21% of adult sites and 33% of pediatric sites reached the target &gt; 90% of patients getting treatment in time [<xref ref-type="bibr" rid="scirp.85217-ref11">11</xref>] . Also, in Zimbabwe in 2013, only 22% of adult sites and 4% of pediatric sites reached &gt; 90% [<xref ref-type="bibr" rid="scirp.85217-ref18">18</xref>] . And according to the Cameroon 2013 Early Warning Indicators Report, only 33% of sites achieved this objective [<xref ref-type="bibr" rid="scirp.85217-ref19">19</xref>] . According to the 2012 Global Early Warning Indicators Report, in other African contexts, only 15% of the 321 adult sites monitoring on-site withdrawal of pills had reached their target of &gt;90%. The 2016 Global Report on early warning indicators also showed that, out of 5,027 clinics in 9 countries during the 2010-2014 period, 85.5% (IC 95%: 72.1% - 93.1%) of taking pills were on time, below the WHO target of 90% [<xref ref-type="bibr" rid="scirp.85217-ref16">16</xref>] .</p></sec><sec id="s4_6"><title>4.6. Regular Delivery of ARVs (EWI6)</title><p>There was no ARV rupture during our study period unlike the (Kouadio J Y) study where only one site did not experience antiretroviral ruptures over the 12 months [<xref ref-type="bibr" rid="scirp.85217-ref10">10</xref>] .</p><p>According to the 2016 Global Report on early warning indicators, 35.7% of clinics reported at least one stock, out of 1703 clinics in 35 countries [<xref ref-type="bibr" rid="scirp.85217-ref16">16</xref>] . Stocks in Namibia were due to poor inventory management practices, constraints related to space for storage and expiring ARVs, which resulted in unusable ARVs on sites.</p><p>Namibia has been working on strengthening supervision by regional pharmacists to ensure a good forecast of drugs, supply and distribution [<xref ref-type="bibr" rid="scirp.85217-ref11">11</xref>] .</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>The results are definitely encouraging, but there are some shortcomings, particularly in terms of good practice regarding prescriptions and retention. We advocate a continuous update for physicians in relation to national recommendations concerning ARV treatment that is to be strictly observed, and the establishment of a formal and efficient active search system for the lost to follow-up patients, associating the medical staff, social works and families of patients. In addition, such results should be combined with the viral load now available to better assess the impact and importance of these resistance early warning indicators.</p></sec><sec id="s6"><title>Cite this paper</title><p>Lawson, A.T.D., Lakhe, N.A., Dione, H., Toure, P.S., Ba, M., Niang, N.B., Diop, B.M. and Diop-Nyafouna, S.A. (2018) Evaluation of Early Warning Indicators of ARV Resistance to HIV in the Hospital of Tivaouane from 2008 to 2016. Advances in Infectious Diseases, 8, 54-63. https://doi.org/10.4236/aid.2018.82007</p></sec></body><back><ref-list><title>References</title><ref id="scirp.85217-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">ONUSIDA Fiche d’information-dernières statistiques sur l’état de l’épidémie de SIDA. http://www.unaids.org/fr/resources/fact-sheet</mixed-citation></ref><ref id="scirp.85217-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">CNLS Publications-CNLS Senegal.  
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