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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJCV</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Coronaviruses</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2692-1537</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.14302/issn.2692-1537.ijcv-21-3924</article-id>
      <article-id pub-id-type="publisher-id">IJCV-21-3924</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>SARS-Cov-2 Viral Kinetics in Mild COVID-19 Patients Treated with Chloroquine Regimens or Standard of Care </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Krittaecho</surname>
            <given-names>Siripassorn</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843261036">1</xref>
          <xref ref-type="aff" rid="idm1843259596">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Angkana</surname>
            <given-names>T. Huang</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ravee</surname>
            <given-names>Nitiyanontakij</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843261036">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sumonmal</surname>
            <given-names>Uttayamakul</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843261036">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chonticha</surname>
            <given-names>Klungthong</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Taweewun</surname>
            <given-names>Hunsawong</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kamonthip</surname>
            <given-names>Rungrojcharoenkit</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jindarat</surname>
            <given-names>Lohachanakul</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chanikarn</surname>
            <given-names>Kodchakorn</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843257580">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pattaraporn</surname>
            <given-names>Vanachayangkul</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843257580">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yongyuth</surname>
            <given-names>Poolpanichupatum</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kittinun</surname>
            <given-names>Hussem</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Anthony</surname>
            <given-names>R. Jones</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Stefan</surname>
            <given-names>Fernandez</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843259236">2</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1843261036">
        <label>1</label>
        <addr-line>Bamrasnaradura Infectious Diseases Institute, Nonthaburi, Thailand</addr-line>
      </aff>
      <aff id="idm1843259236">
        <label>2</label>
        <addr-line>Department of Virology, AFRIMS, Thailand</addr-line>
      </aff>
      <aff id="idm1843257580">
        <label>3</label>
        <addr-line>Department of Bacteriology and Parasitology, AFRIMS, Thailand</addr-line>
      </aff>
      <aff id="idm1843259596">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Raul</surname>
            <given-names>Isea</given-names>
          </name>
          <xref ref-type="aff" rid="idm1843248116">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1843248116">
        <label>1</label>
        <addr-line>Fundación Instituto de Estudios  Avanzados - IDEA, Hoyo de la Puerta, Baruta.</addr-line>
      </aff>
      <author-notes>
        <corresp>Krittaecho Siripassorn, Bamrasnaradura, Infectious Diseases Institute Department of Internal Medicine, 38, Tiwanon, Road, Nonthaburi 11000, Thailand <email>krittaecho@yahoo.com</email></corresp>
        <fn fn-type="conflict" id="idm1841248916">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2021-08-17">
        <day>17</day>
        <month>08</month>
        <year>2021</year>
      </pub-date>
      <volume>3</volume>
      <issue>2</issue>
      <fpage>1</fpage>
      <lpage>14</lpage>
      <history>
        <date date-type="received">
          <day>05</day>
          <month>08</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>10</day>
          <month>08</month>
          <year>2021</year>
        </date>
        <date date-type="online">
          <day>17</day>
          <month>08</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2021</copyright-year>
        <copyright-holder>Krittaecho Siripassorn, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijcv/article/1680">This article is available from http://openaccesspub.org/ijcv/article/1680</self-uri>
      <abstract>
        <p>This study measures the impact of                       chloroquine (CQ) therapy in reducing SARS-CoV-2 viral load in infected individuals and hence its                             transmissibility by describing changes in                               nasopharyngeal SARS-CoV-2 RNA kinetics in                   patients receiving standard of care (SOC) or CQ +/-                             ritonavir-boosted lopinavir (LPV/r). The                                nasopharyngeal (NP) samples were collected from mild COVID-19 patients admitted at                                    Bamrasnaradura Infectious Diseases Institute                 between March and April of 2020. These patients either received SOC, or a high dose of CQ with                   loading dose, or high dose of CQ plus LPV/r. The samples were tested at AFRIMS using a quantitative RT-PCR assay. Levels of CQ in the plasma were measured 6 days post initiation of their treatment. In some instances, viral isolation was attempted to determine SARS-CoV-2 viability. Analyses of the                   clinical outcomes showed that CQ +/- lopinavir did not contribute significantly to decreasing the number of days with detected SARS-CoV-2 RNA.  Viral NP GEs declined faster in the CQ group, but benefits diminished rapidly with delays in treatment initiation.</p>
        <sec id="idm1843251500">
          <title>Funding</title>
          <p>Global Emerging Infections Surveillance, Armed Forces Health Surveillance Branch (GEIS-AFHSB) for all research-related activities at the AFRIMS</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Chloroquine</kwd>
        <kwd>COVID-19</kwd>
        <kwd>SARS-CoV-2</kwd>
        <kwd>viral kinetics</kwd>
        <kwd>therapeutic.</kwd>
      </kwd-group>
      <counts>
        <fig-count count="4"/>
        <table-count count="1"/>
        <page-count count="14"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1843252076" sec-type="intro">
      <title>Introduction</title>
      <p>The COVID-19 pandemic continues to spread rapidly, infecting over 180 millions people and causing over 4 million deaths around the world. Several                 COVID-19 vaccines with Emergency Use Authorizations (EUA) in North America, Europe or Asia <xref ref-type="bibr" rid="ridm1850766180">1</xref> are widely used in several countries. Nonetheless, COVID-19 infections are expected to cause significant morbidity and economic restrictions in the future. Incomplete protection and the identification of new immunity-evading SARS-CoV-2              variants underscore the need for safe and effective               therapeutics. As of April, 2021, the US CDC has reported at least 10,262 infected COVID-19 cases in people                    vaccinated against SARS-CoV-2 in the USA <xref ref-type="bibr" rid="ridm1850765028">2</xref>.</p>
      <p>Current medication guidelines recommend the use of remdesivir, an antiviral which was shown to                            reduce the virus in vitro <xref ref-type="bibr" rid="ridm1850768124">3</xref> and reduce morbidity and      mortality in COVID-19 patients with pneumonia <xref ref-type="bibr" rid="ridm1850871588">4</xref>, <xref ref-type="bibr" rid="ridm1850634268">5</xref>, in hospitalized patients but not in outpatients <xref ref-type="bibr" rid="ridm1850613588">6</xref>.                           Chloroquine (CQ), hydroxychloroquine (HCQ), and                 ritonavir-boosted lopinavir (LPV/r) have shown in vitro inhibition of SARS-CoV-2 <sup><ext-link xlink:href="" ext-link-type="uri">3, 7</ext-link></sup>. CQ and HCQ obtained a US FDA EUA in March of 2020, but this was later revoked due to lack of supporting clinical data <xref ref-type="bibr" rid="ridm1850602404">8</xref><xref ref-type="bibr" rid="ridm1850578316">9</xref><xref ref-type="bibr" rid="ridm1850564876">10</xref><xref ref-type="bibr" rid="ridm1850532756">11</xref><xref ref-type="bibr" rid="ridm1850516108">12</xref> and toxicity risks. Current international guidelines recommend                 limiting their use to clinical trials <xref ref-type="bibr" rid="ridm1850613588">6</xref>. </p>
      <p>It is not clear; however, whether effective                   antivirals can significantly reduce SARS-CoV-2                       transmission. It is estimated that 25-69% of all                       transmissions occur during presymptomatic periods <xref ref-type="bibr" rid="ridm1850513948">13</xref>, whether due to lack of self-quarantine and despite a                relatively short period of virus shedding <xref ref-type="bibr" rid="ridm1850523524">14</xref>. </p>
      <p>Among symptomatic and asymptomatic                     infections, SARS-CoV-2 RNA detection in nasopharyngeal samples (a marker for viral shedding) can last up to a month or longer <xref ref-type="bibr" rid="ridm1850523524">14</xref>,<xref ref-type="bibr" rid="ridm1850484124">15</xref>. Viral RNA remains detectable in recovered patients for prolonged periods of time <xref ref-type="bibr" rid="ridm1850484124">15</xref><xref ref-type="bibr" rid="ridm1850478724">16</xref><xref ref-type="bibr" rid="ridm1850504212">17</xref>. The best measure of viral transmissibility comes from studies measuring productive replication of SARS-CoV-2 from symptomatic COVID-19 cases, including mild cases, which are most symptomatic cases <xref ref-type="bibr" rid="ridm1850500108">18</xref>.  These studies show that transmission potential peaks around 7                   days-post symptoms onset (pso), or longer <xref ref-type="bibr" rid="ridm1850496796">19</xref>,<xref ref-type="bibr" rid="ridm1850490748">20</xref>, and declines soon after <xref ref-type="bibr" rid="ridm1850484124">15</xref><xref ref-type="bibr" rid="ridm1850443452">21</xref><xref ref-type="bibr" rid="ridm1850439420">22</xref><xref ref-type="bibr" rid="ridm1850426604">23</xref>. Shortening the infectious period by 0.5 days in 25% of symptomatic patients <xref ref-type="bibr" rid="ridm1850452884">24</xref> reduces SARS-CoV-2 basic reproductive rate, R<sub>0</sub>, averting 1.5                 million COVID-19 cases and 37,992 hospitalizations.               Given the association between SARS-CoV-2 viral shedding and transmissibility, assessing the suitability of COVID-19 therapeutics should not be limited to patient clinical             outcomes only but also to their impact on R<sub>0</sub>. Studies have shown that CQ and HCQ can reduce viral replication and shedding. Gautret et al suggests that, among mild and asymptomatic COVID-19 cases, HCQ alone significantly reduces nasopharyngeal SARS-CoV-2 as fast as 3 days after treatment <xref ref-type="bibr" rid="ridm1850449860">25</xref>. Similarly, other reports suggest the CQ and derivatives may have similar effects <xref ref-type="bibr" rid="ridm1850388428">26</xref>.</p>
      <p>This study measured changes in nasopharyngeal SARS-CoV-2 viremia in mild COVID-19 patients and                  tested whether administering CQ, alone or with LPV/r, accelerates the decline of nasopharyngeal SARS-CoV-2 RNA <xref ref-type="bibr" rid="ridm1850384180">27</xref>. Patients were diagnosed for COVID-19 during March and April of 2020 and hospitalized regardless of the severity of their disease. We compared the viral              kinetics between individuals who received CQ +/- LPV/r against standard of care.  </p>
    </sec>
    <sec id="idm1843219292" sec-type="materials">
      <title>Material and Methods</title>
      <sec id="idm1843219508">
        <title>Study Population</title>
        <p>Mild COVID-19 patients were hospitalized during March and April 2020 at the Bamrasnaradura Infectious Diseases Institute (BIDI),  Department of Disease Control, Ministry of Public Health, Thailand. Patients were                  hospitalized when diagnosed as having mild COVID-19 confirmed with SARS-CoV-2 RT-PCR as per local regulation. Patients received either SOC (medication for alleviating symptoms), or a high loading dose of CQ (ldCQ), or CQ without loading dose plus LPV/r (CQLPV). Subjects who developed pneumonia were discontinued from the cohort to receive appropriate treatment. The ldCQ group is defined as receiving a 1,000 mg of CQ as a loading dose, then 500 mg twice daily for 4 days, and followed by 375 mg twice daily for 9 days or until RT-PCR negative. Subjects in the CQLPV group received the same CQ dosing schedule and a standard dose of LPV/r. Nasopharyngeal swabs were collected from the patients on the date of admission and every 2-3 days during hospitalization. A blood sample was collected from patients in the ldCQ and CQLPV groups 6 days after initiation of CQ treatment to verify the presence of physiological levels of CQ. We extracted baseline demographic data, clinical presentation and treatment outcome from medical records, when available. Nasopharyngeal swabs and blood samples were kept at -80C at BIDI and thawed once before sending to the Armed Forces Research Institute of Medical Sciences (AFRIMS) for further laboratory analyses, and a second time if viral isolation was necessary. All specimens were coded and anonymized prior to shipping. </p>
      </sec>
      <sec id="idm1843219796">
        <title>Diagnosis of SARS-CoV-2 RNA by Reverse-Transcription Polymerase Chain Reaction (RT-PCR)</title>
        <p>Patients admission and discharge were at least dependent on a qualitative SARS-CoV-2 real-time RT-PCR test done at BIDI. Nasopharyngeal specimens were tested with either novel CoV 2019 real-time PCR (Jiangsu                  Bioperfectus Technologies, Taizhou, China) or real-time fluorescent RT-PCR (BGI technology, Shenzhen, China) for patients admitted on 31 Mar 2020, or earlier. Patients admitted after March 31, 2020 were tested with the               Cobas SARS-CoV-2 qualitative assay using cobas 6800 systems (Roche Molecular Systems, Basel, Switzerland).   </p>
      </sec>
      <sec id="idm1843219436">
        <title>Quantification of SARS-CoV-2 Viral Load</title>
        <p>Quantitative real-time RT-PCR to measure                SARS-CoV-2 genome equivalents (GE) was performed at the Department of Virology, AFRIMS, Bangkok, Thailand. The assay was modified from the US-CDC method,                    targeting the N gene (Lu et al., 2020). Briefly, three                  separate reactions were carried out for each extracted RNA sample, two for detection of SARS CoV-2 N1 and N2 targets, and one for human RNase P gene (RP) target                 using SuperScript III Platinum One-Step Quantitative                  RT-PCR System (Invitrogen, USA) and 2019-nCoV CDC qPCR RUO kit <sup>Integrated DNA Technologies (IDT)</sup><sup> USA</sup>. Human RP gene detection was used as extraction control. Each 25-µl reaction contained 12.5 µl of 2x Reaction      Buffer containing 0.4 mM of each dNTP and 6 mM MgSO<sub>4</sub>, 1.5 µl of combined primer/probe mix for N1, N2, or RP (2019-nCoV CDC qPCR RUO kit), 0.5 µl of RNaseOUT (10 U/µl, Invitrogen, USA), 0.5 µl of 1:10 diluted ROX                    Reference Dye, 0.5 µl of SuperScript III RT/Platinum Taq, 4.5 µl of nuclease-free water, and 5 µl of extracted RNA sample. The single step RT-PCR consisting of a 30-min RT step at 50<sup>o</sup>C, 2 min of Taq inhibitor inactivation at 95<sup>o</sup>C, followed by 45 cycles of PCR at 95<sup>o</sup>C for 15 sec and 55<sup>o</sup>C for 30 sec was performed on an Applied Biosystems 7500 Fast Real-time PCR Instrument (Thermo Fisher Scientific, USA). The SARS-CoV-2 GE per sample was derived from standard curves of serial dilutions of in vitro SARS-CoV-2 RNA transcripts (IVTs). </p>
      </sec>
      <sec id="idm1843225268">
        <title>SARS-CoV-2 Isolation</title>
        <p>SARS-CoV-2 isolation was done in a cell culture system at AFRIMS biosafety level 3 laboratory. The                selected nasopharyngeal specimens were either                     specimens that were positive after a period of                            undetectable quantitative RT-PCR result, or specimens with at least a 2 log<sub>10</sub> viral load increase from the                     previous one. Virus isolation was performed using Vero E6 (monkey kidney epithelial cells) and A549 (human lung epithelial cells) cell lines with Eagle’s minimal                 essential medium (EMEM) containing 2-5% heat                       inactivated fetal bovine serum, 1% L-glutamine, 1%                penicillin/streptomycin, 40 µg/ml gentamicin and 0.25 µg/ml fungizone. Cytopathic effect (CPE) was observed daily before harvesting or sub-culturing for 3 passages. Cell culture supernatant was harvested once the CPE was observed or day 5 at latest and tested using SARS-CoV-2 RT-PCR for confirmation.  </p>
      </sec>
      <sec id="idm1843226708">
        <title>Plasma Levels of Chloroquine, Desethylchlroqione and              Hydroxychloroquine</title>
        <p>Plasma levels of CQ were measured on day 6 post initiation of CQ treatment. Concentrations of CQ and      desethyl-CQ were measured by Waters Acquity UPLC™ equipped with Xevo® G2-XS QToF (Waters Crop., MS, USA). 100 µl of plasma samples were extracted by adding 200 µl of iced-cold acetonitrile:methanol (25:75),                 incubated under BSC for 30 min, then 1-min vortexed and centrifuged at 10,000 rpm for 10 min. The supernatant was filtered through PTFE and transferred to UPLC vial. Chromatographic separation was performed on a Waters ACQUITY UPLC BEH C18 column (50x2.1 mm, 1.7 µm      particle size) with pre-column of the same material (5x2.1 mm, 1.7 µm particle size) at a flow rate of 0.40 ml/min. A gradient elution composed of A) 5mM ammonium acetate pH 4.5 in water and B) 5 mM ammonium acetate pH 4.5 in acetonitrile: methanol (50:50 v/v). The column temperature was set at 40°C and injection volume was 5 µl. Compounds were ionized in positive ion mode with electrospray ionization source. The multiple reaction monitoring (MRM) was used to monitor the mass                  transition (m/z) of 320.33à142.22, 292.28à114.18, 336.20à247.23 and 379.29à271.22 for chloroquine,           desethyl chloroquine, hydroxyl chloroquine and            mefloquine (as internal standard), respectively. The MassLynx™ Software (Waters Crop., MS, USA) was used to operate the instruments, integration and                             quantification.</p>
      </sec>
    </sec>
    <sec id="idm1843226204">
      <title>Statistical Analysis</title>
      <p>We assessed the effects of CQ treatments on the duration at which SARS-CoV-2 RNA remained detectable in the respiratory samples using Cox                                       proportional-hazards model <xref ref-type="bibr" rid="ridm1850411756">28</xref>. The event of viral RNA dropping below detectable levels was assumed to be              between the collection date of the last quantitative PCR (qPCR) positive sample and the subsequent negative sample. For the three cases with no qPCR positive                    samples, but eligible for the study because a sample was positive by qualitative PCR, we treated the observations as left censored. Available covariates in the dataset were included to adjust for confounding factors and were               stepwise removed (highest p-values first) from the                  multivariate model until the likelihood ratio test which measures the significance of the model no longer                improved. We examined the 95% confidence intervals (CI) of the coefficients of the CQ treatment variables to determine the directionality and significance of the                  effects as compared to SOC.</p>
      <p>The effects of CQ treatments on the quantitative declines in GE were assessed by regressing log<sub>10</sub>GE on the CQ treatment variables. We included all variables in the dataset <italic>x</italic><sub><italic>i</italic></sub>, days PSO (denoted <italic>t</italic>), as well as the                 interactions between these variables and days PSO <italic>x</italic><sub><italic>i</italic></sub><italic>t</italic>, to adjust for time invariant and time dependent differences. Individual terms with the highest p-values were stepwise removed until the Akaike’s Information Criterion (AIC) no longer improved. We examined the estimated                          coefficients of the CQ treatment variables and their 95%CI to determine the directionality and significance of the effects.</p>
    </sec>
    <sec id="idm1843177852">
      <title>Ethical Approval</title>
      <p>The study was approved by the Institutional            Review Board of Bamrasnaradura Infectious Diseases Institute (BIDI). The laboratory activities at AFRIMS was determined as the research not involving human subjects by the Human Subjects Protection Office, AFRIMS. </p>
    </sec>
    <sec id="idm1843179220" sec-type="results">
      <title>Results</title>
      <sec id="idm1843177204">
        <title>Study Subject Features</title>
        <p>Of the 51 patients in this study, 25 received SOC (<xref ref-type="table" rid="idm1842582332">Table 1</xref>, <xref ref-type="fig" rid="idm1842582908">Figure 1</xref>), 9 received high dose CQ plus LPV/r (CQLPV) and 17 received high dose CQ with loading dose (ldCQ). Most subjects were of working age and healthy. There were 3 patients with comorbidities: one pregnancy and one hypertension in the SOC group and one                    hypertension (a 63 years, male who later developed pneumonia) in the ldCQ group (<xref ref-type="table" rid="idm1842582332">Table 1</xref>). Common clinical features at admission were  fever (n =14, 27%), cough (n =30, 59%), nasal congestion (n =30, 59%),  rhinorrhea (n =19, 37%), myalgia (n =19, 37%), sore throat (n=17, 33%), and diarrhea (n =3, 6%). </p>
        <fig id="idm1842582908">
          <label>Figure 1.</label>
          <caption>
            <title> Study diagram and timing of study events by individual. Treatment received and criteria of discharge are as                 labelled. </title>
          </caption>
          <graphic xlink:href="images/image1.jpeg" mime-subtype="jpeg"/>
        </fig>
        <p><xref ref-type="fig" rid="idm1842582908">Figure 1</xref> shows the timelines of nasopharyngeal swabs for subjects in each group. Administration of ldCQ was sooner than CQLPV, 5 days versus 9 days PSO,                 respectively (<xref ref-type="table" rid="idm1842582332">Table 1</xref>). Median (interquartile range, IQR) duration of hospitalization was 12 (8 - 17) days. Three subjects were admitted for longer than 30 days, with the longest being hospitalized for 45 days. Of the 51 subjects, 39 (76%) were discharged after two consecutive negative RT-PCR results. The remaining 12 subjects (all in SOC) were discharged after resolution of symptoms and one negative PCR.</p>
        <table-wrap id="idm1842582332">
          <label>Table 1.</label>
          <caption>
            <title> Demographic features, clinical characteristics, results of treatment, and adverse events.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td> </td>
                <td>Available Data (n)</td>
                <td>SOC <xref ref-type="table-fn" rid="idm1843085748">a</xref></td>
                <td>ldCQ <xref ref-type="table-fn" rid="idm1843085460">b</xref></td>
                <td>CQLPV <xref ref-type="table-fn" rid="idm1843082292">c</xref></td>
                <td><italic>p</italic>-value</td>
              </tr>
              <tr>
                <td>Total number (n)</td>
                <td>51</td>
                <td>25</td>
                <td>17</td>
                <td>9</td>
                <td> </td>
              </tr>
              <tr>
                <td>
                  <bold>Demographic features</bold>
                </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Median age, years (IQR)</td>
                <td>51</td>
                <td>33 (26-37)</td>
                <td>36 (26 – 54)</td>
                <td>29 (26-46)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Male, n (%)</td>
                <td>51</td>
                <td>14 (56%)</td>
                <td>8 (47%)</td>
                <td>5</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Median body weight, kilograms (IQR)</td>
                <td>47</td>
                <td>62 (51-67)</td>
                <td>58 (51 – 70)</td>
                <td>61 (44-73)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Nationality: Thai, n (%)</td>
                <td>51</td>
                <td>24 (96%)</td>
                <td>17 (100%)</td>
                <td>9</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Underlying Diseases, n (%)</td>
                <td>51</td>
                <td>2 (8%)</td>
                <td>1 (6%)</td>
                <td>0</td>
                <td> NS</td>
              </tr>
              <tr>
                <td>Hypertension</td>
                <td> </td>
                <td>1</td>
                <td>1 </td>
                <td> </td>
                <td/>
              </tr>
              <tr>
                <td>Pregnancy</td>
                <td> </td>
                <td>1</td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>
                  <bold>Baseline Laboratory</bold>
                </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Median hematocrit, %</td>
                <td>49</td>
                <td>42 (38-45)</td>
                <td>41 (39 – 45)</td>
                <td>43 (41-45)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Median white blood cell count, 
10-3 cell/dL (IQR)</td>
                <td>49</td>
                <td>5.8 (4.1-7.6)</td>
                <td>5.6 (4.3 – 7.2)</td>
                <td>5.0 (4.8-6.9)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Lymphopenia, n (%)</td>
                <td>49</td>
                <td>8 (35%)</td>
                <td>5 (29%)</td>
                <td>3 (33%)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Median Creatinine, mg/dL (IQR)</td>
                <td>34</td>
                <td>0.7 (0.6-1.3)</td>
                <td>0.8 (0.6 – 1.2)</td>
                <td>0.96 (0.63-1.1)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Median ALT, IU/L (IQR)</td>
                <td>32</td>
                <td>16 (11-22)</td>
                <td>17 (12 – 29)</td>
                <td>20 (12-25)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>
                  <bold>Clinical Characteristics</bold>
                </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Median duration from onset of symptoms to admission, days (IQR)</td>
                <td>51</td>
                <td>5 (3-9)</td>
                <td>5 (3-6)</td>
                <td>8 (6-10)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Documented Fever</td>
                <td>51</td>
                <td>7 (28%)</td>
                <td>3 (18%)</td>
                <td>4</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>
                  <bold>Results of treatment</bold>
                </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Median duration from onset of symptom to                antivirals, days (IQR)</td>
                <td>26</td>
                <td>NA</td>
                <td>5 (4-8)</td>
                <td>9 (6-11)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Median time to undetectable SAR-CoV2, days (95%IQR)</td>
                <td>51</td>
                <td>14 (7-25)</td>
                <td>16 (5-35)</td>
                <td>18 (8-49)</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Treatment failure, n</td>
                <td>51</td>
                <td>0</td>
                <td>1 <xref ref-type="table-fn" rid="idm1843082220">d</xref></td>
                <td>0</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Median CQ trough level, ng/dL (IQR)</td>
                <td>15</td>
                <td>NA</td>
                <td>626 (462-1165)</td>
                <td>480 (206-1836)</td>
                <td> </td>
              </tr>
              <tr>
                <td>Median dCQ trough level, ng/dL (IQR)</td>
                <td>15</td>
                <td>NA</td>
                <td>471 (312-784)</td>
                <td>228 (172-1427)</td>
                <td> </td>
              </tr>
              <tr>
                <td>
                  <bold>Adverse events</bold>
                </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Nausea, n</td>
                <td>26</td>
                <td>NA</td>
                <td>4</td>
                <td>7</td>
                <td>0.001</td>
              </tr>
              <tr>
                <td>Vomiting, n</td>
                <td>26</td>
                <td>NA</td>
                <td>3</td>
                <td>2</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Diarrhea, n</td>
                <td>26</td>
                <td>NA</td>
                <td>0</td>
                <td>2</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Dizziness, n</td>
                <td>26</td>
                <td>NA</td>
                <td>2</td>
                <td>0</td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Rash, n</td>
                <td>26</td>
                <td>NA</td>
                <td>0</td>
                <td>2 <xref ref-type="table-fn" rid="idm1843083660">e</xref></td>
                <td>NS</td>
              </tr>
              <tr>
                <td>Any significant cardiovascular event, such as Syncope, Hypotension, n</td>
                <td>26</td>
                <td>NA</td>
                <td>0</td>
                <td>0</td>
                <td>NS</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1843085244">
              <label/>
              <p>CQ, chloroquine; CQLPV, high loading dose of chloroquine plus ritonavir-boosted lopinavir; dCQ, desethylchloroquine, ldCQ, high loading dose of chloroquine; IQR, interquartile range; SOC, standard of care</p>
            </fn>
            <fn id="idm1843085748">
              <label>a</label>
              <p>  SOC defined as receiving medication only for alleviating symptoms</p>
            </fn>
            <fn id="idm1843085460">
              <label>b</label>
              <p> ldCQ defined as receiving a 1,000 mg of QC loading dose, plus 500 mg of QC twice daily for 4 days, followed by 375 of mg twice daily for 9 days or until RT-PCR negative</p>
            </fn>
            <fn id="idm1843082292">
              <label>c</label>
              <p>   CQLPV defined as receiving the same CQ dosing schedule (ldCQ) and a standard dose of LPV/r</p>
            </fn>
            <fn id="idm1843082220">
              <label>d</label>
              <p>  One subject in ldCQ had moderate COVID-19, i.e. pneumonia without hypoxemia</p>
            </fn>
            <fn id="idm1843083660">
              <label>e</label>
              <p>Two subjects had grade 3 rash after receiving CQLPV and had to stop antiviral treatment. One patient had acute generalized exanthematous pustulosis (AGEP) and the another had generalized maculopapular rash. The rash of both subjects were disappeared after stopping CQLPV and short course of prednisolone. Both had negative PCR for SARS-CoV-2 and negative for lymphocyte transformation tests against CQ and LPV/r. </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="idm1843082508">
        <title>SARS-CoV-2 Viral Kinetics in SOC</title>
        <p>Detectable RNA were highest early on and            declined over time (<xref ref-type="fig" rid="idm1842374876">Figure 2</xref>). Individuals discharged with differing criteria had similar viral shedding                    durations. In subjects discharged after two consecutive negative RT-PCR (2<sup>-</sup>PCR), the median number of days PSO with detectable RNA was 13 (95%IQR: 6.0, 54.5) with a long tail to the right driven by one individual (max: 60). This was comparable to the viral load kinetics in the subgroup discharged after only one negative PCR (1<sup>-</sup>PCR), 14 days (95%IQR: 10.3, 32.6). The univariate hazard ratio of RNA dropping below detectable levels, 2<sup>-</sup>PCR                compared to 1<sup>-</sup>PCR, was indifferent from one (95%CI: 0.81 to 4.16, p=0.13). Generalized additive models of log<sub>10</sub>GE over time were close to linear in both groups (<xref ref-type="fig" rid="idm1842374876">Figure 2</xref>) suggesting patterns of exponential decay in the kinetics. Regressing log<sub>10</sub>GE on days PSO found the rate of decline to be 9% each day for the 2<sup>-</sup>PCR group (95%CI: 4%, 12%) and 13% (95%CI: 9%, 16%) for the 1<sup>-</sup>PCR group.</p>
        <fig id="idm1842374876">
          <label>Figure 2.</label>
          <caption>
            <title> Viral load quantity measured as genome                equivalents (GE) over days post symptom onset in each group: standard of care (SOC), high loading dose of              chloroquine (ldCQ), or chloroquine without loading dose plus ritonavir-boosted lopinavir (CQLPV).</title>
          </caption>
          <graphic xlink:href="images/image2.jpeg" mime-subtype="jpeg"/>
        </fig>
      </sec>
      <sec id="idm1843078188">
        <title>Effects of CQ Regimens on Viral Load Kinetics</title>
        <p>RNA remained detectable for a median of 18.0 days (95%IQR: 8.2, 49.4) in the CQLPV group and 16.0 days (95%IQR 5.0, 34.6) in the ldCQ group (<xref ref-type="fig" rid="idm1842582908">Figure 1</xref> and <xref ref-type="table" rid="idm1842582332">Table 1</xref>). These intervals overlapped with those observed in the SOC. We assessed the difference using a                           multivariate Cox-proportional hazard model to adjust for confounding factors. Following the stepwise removal of covariates, the hazard ratios suggested trending but not significant changes in viral shedding duration in the ldCQ (<xref ref-type="fig" rid="idm1842336676">Figure 3</xref>). Adjusted for the shorter duration in                          individuals discharged with 2<sup>-</sup>PCR and presence of fever at enrollment, the chance of RNA remaining detectable in the ldCQ group was 1.88-times the SOC (95%CI: 0.95 to 3.72) while the chance was 0.50-times for CQLPV (95%CI: 0.23 to 1.09).</p>
        <fig id="idm1842336676">
          <label>Figure 3.</label>
          <caption>
            <title> Proportion of individuals with detectable RNA over time predicted from Cox-proportional hazards model for individuals. Hazard ratios of RNA dropping below detectable levels with and without the adjustment are annotated. Adjusted hazard model was adjusted for fever at enrollment and discharged with two consecutive negative PCR. </title>
          </caption>
          <graphic xlink:href="images/image3.jpeg" mime-subtype="jpeg"/>
        </fig>
        <fig id="idm1842333796">
          <label>Figure 4.</label>
          <caption>
            <title> Multivariate log-linear regression of RNA genome equivalents. Effects of covariates on measured genome equivalents (GE) presented as multiples of their respective reference classes (categorical variables) or per unit of increase (continuous variables). Effects which accumulated over days post onset (PSO) were scaled to per 3 days for visual clarity. Whiskers are 95% confidence intervals of the point estimates. Results shown are from the model with the best Akaike’s Information Criterion (AIC) which explained 41% of the variance in logeGE. </title>
          </caption>
          <graphic xlink:href="images/image4.jpeg" mime-subtype="jpeg"/>
        </fig>
        <p>The relationship between receiving CQLPV and the quantified genome equivalents (GE) in the log-linear regression was congruent with the inference from                   detectable RNA durations (insignificant effects on GE  decline, 95%CI: -2%, 23%), <xref ref-type="fig" rid="idm1842333796">Figure 4</xref>. In contrast, each day of ldCQ treatment improved the GE decline by 26% (95%CI: 17%, 35%). Each day of delay in CQ administration, hindered the effects by 23% (95%CI: 6%, 43%). When treated with SOC, GE declined 77% (95%CI: 16%, 95%) each day corresponding to RNA levels dropping below 0.1% of the levels at symptom onset by 3 to 40 days PSO. These effects were adjusted for variables retained in the multivariate regression after stepwise removal including fever at enrollment and intrinsic characteristics of                   individuals. Individuals with fever at enrollment had              16-times the GE of those without (95%: 4.17, 60.36) and showed 9% less in decline each day (95%CI: 2%, 15%). Except for males exhibiting 7% more decline each day than females (95%CI: 2%, 12%), other variations that achieved statistical significance had marginal effects on the decline.</p>
        <p>To ensure that CQ was present at therapeutic levels in the CQ treatment groups, we measured the plasma level CQ and its metabolite, desethyl-CQ (dCQ) (<xref ref-type="table" rid="idm1842582332">Table 1</xref>). Median trough levels of CQ in the ldCQ and CQLPV groups were 626 ng/dL and 480 ng/dL,                  respectively. Of the 15 subjects who had serum CQ               measurements, twelve (80%) had levels above 360 ng/dL, which are deemed adequate as per previous                 pharmacokinetic modelling study <xref ref-type="bibr" rid="ridm1850410388">29</xref>. There was no                   difference in viral kinetics between subjects who had    adequate CQ level and those who did not.</p>
      </sec>
      <sec id="idm1843076820">
        <title>Fitness and Transmissibility of Resurging Viral Loads</title>
        <p>To verify that the detected genome                   equivalents following viral load troughs were replication competent, we cultured specimens collected at the troughs and the subsequent resurgences. </p>
        <p>Of 49 selected specimens, we successfully               isolated SARS-CoV-2 from four samples acquired from three subjects between 12 to 24 days PSO. PCR’s cycle threshold (Ct) of these isolates collected on 12, 23, 18, and 24 days PSO were 26, 27, 36 and 36, respectively.</p>
      </sec>
      <sec id="idm1843076028">
        <title>Adverse Events in Subjects Treated with CQ</title>
        <p>Adverse events in each treatment group are shown in <xref ref-type="table" rid="idm1842582332">Table 1</xref>. Common adverse events were                nausea, and vomiting. Medications to relieve or                   prevent adverse events were available to all patients. The events were generally mild to moderate as per the DAIDS grading table <xref ref-type="bibr" rid="ridm1850408156">30</xref>, except for three subjects,  which led to the termination of CQ treatments. Two subjects in the CQLPV group had grade 3 generalized skin rash after receiving antivirals starting for at least 10 days. Their skin biopsy showed acute generalized exanthematous pustulosis (AGEP). Lymphocyte                transformation tests were negative with CQ and LPV/r. One subject in the ldCQ group had grade 2 nausea and vomiting. All three subjects were negative for                    SARS-CoV-2 by PCR prior to termination.</p>
      </sec>
    </sec>
    <sec id="idm1843105044" sec-type="discussion">
      <title>Discussion</title>
      <p>This study describes SARS-CoV-2 viral             kinetics in mild COVID-19 patients treated with SOC or with CQ in the presence or absence of LPV/r. Early in vitro data had identified CQ and LPV/r as candidates therapeutics for the treatment of COVID-19, capable of inhibiting SARS-CoV-2 infection and replication <xref ref-type="bibr" rid="ridm1850768124">3</xref><xref ref-type="bibr" rid="ridm1850608740">7</xref><xref ref-type="bibr" rid="ridm1850405348">31</xref>, most clinical studies have not shown any clinical           benefit <xref ref-type="bibr" rid="ridm1850602404">8</xref><xref ref-type="bibr" rid="ridm1850578316">9</xref><xref ref-type="bibr" rid="ridm1850564876">10</xref><xref ref-type="bibr" rid="ridm1850532756">11</xref><xref ref-type="bibr" rid="ridm1850516108">12</xref>. Nonetheless, few clinical data support the use of CQ in COVID-19 as an inhibitor of viral replication in COVID-19 patients <xref ref-type="bibr" rid="ridm1850449860">25</xref>,<xref ref-type="bibr" rid="ridm1850388428">26</xref>. Here we show that days to undetectable RNA in the IdCQ or CQLPV groups were not significantly different from SOC (<xref ref-type="fig" rid="idm1842336676">Figure 3</xref>) but          differences in nasopharyngeal viral load exist (<xref ref-type="fig" rid="idm1842333796">Figure 4</xref>). The viral load peaked around symptom onset, or within one week post, after which they declined                    significantly. Median duration of viral shedding in all groups was about two weeks. Our analyses identified two sets of factors affecting the viral kinetics, ones that affected the viral load overall and ones that affected the rate of decline. While most characteristics of                     individuals slightly altered the rate of decline, presence of fever was associated with both higher RNA levels overall and slower declines. Duration of viral shedding seemed to be independent of comorbidities status, of which only a very small number (n=3) was included. When adjusted for these, ldCQ tended to accelerate the decline by 26% (95%CI: 17%, 35%) per each day               administered, while CQLPV did not have any effect, despite CQ concentrations in the serum of patients reaching therapeutic levels (<xref ref-type="table" rid="idm1842582332">Table 1</xref>). </p>
      <p>We tested SARS-CoV-2 fitness and                           transmissibility. Of 49 selected specimens, we                        successfully isolated SARS-CoV-2 from only 4, all                 collected between 12 to 24 days after onset of                 symptoms. Despite the small number, these results demonstrate that SARS-CoV-2 remains potentially transmissible in COVID-19 patients after prolonged periods without symptoms. This is relevant as                      infectivity is mainly associated with presymptomatic and symptomatic periods. Observational and                      cross-sectional studies have shown that productive viral shedding can occur 7-9 days post onset of                 symptoms in mild to moderate COVID-19 cases <xref ref-type="bibr" rid="ridm1850484124">15</xref><xref ref-type="bibr" rid="ridm1850443452">21</xref><xref ref-type="bibr" rid="ridm1850439420">22</xref>. In severe or immunocompromised cases, viral                    shedding can occur even after significantly longer               periods <xref ref-type="bibr" rid="ridm1850496796">19</xref><xref ref-type="bibr" rid="ridm1850490748">20</xref><xref ref-type="bibr" rid="ridm1850401172">32</xref>. Our results suggest closer attention should be given to mild COVID-19 patients, even weeks after symptoms recovery. Strict mask wearing and social distancing, among others, should be considered after   patients discontinue isolation periods, in                  contrast to, for example, the February, 2021 US CDC recommendation to discontinue isolation of COVID-19 patients 10 days from onset of symptom if they have recovered from their symptoms <xref ref-type="bibr" rid="ridm1850395052">33</xref>. Moreover, reports of viral load in patients infected with the current             variant of concern, Delta, being a 1000-fold higher compared to strains circulating in  early 2020 <xref ref-type="bibr" rid="ridm1850366108">34</xref>                 warrants further investigations as to whether the            infectious period has changed which would affect the period of case isolation needed to truncate the                transmission chains.</p>
      <p>The physiologically-based pharmacokinetic (PBPK) modelling suggested that administered CQ  doses in the ldCQ and CQLPV groups were sufficient to acheive CQ level (Ctrough) above effective                     concentration (i.e. EC50) <xref ref-type="bibr" rid="ridm1850410388">29</xref>. The Ctrough in both groups were generally higher than EC50 (i.e. &gt;360 ng/dL) (<xref ref-type="table" rid="idm1842582332">Table 1</xref>). Adverse events were found in three              subjects, whose treatments were stopped due to rash or gastrointestinal side effects (<xref ref-type="table" rid="idm1842582332">Table 1</xref>). </p>
      <p>Our study shows that viral kinetics in mild    COVID-19 patients generally peak within one week after onset of symptoms. We were unable to observe the log phase of the virus, since nearly half of the initial                     specimens were collected from the subjects at least 5 days PSO. Median duration from onset of symptoms to last detectable viral load was 14 days (maximum of 53 days). Based on our findings, the level of viral shedding could be reduced with ldCQ, but the benefit could be quickly hindered with a few days of treatment delay.    Similar patterns have been reported for other                      antivirals where benefits were only seen if given               within 5 days PSO <xref ref-type="bibr" rid="ridm1850354660">35</xref>.</p>
      <p>This study had some limitations. The relatively small number of cases we were able to access limited the granularity of our SARS-CoV-2 viremia data; while we found no significant differences between CQLPV and SOC, it is possible that a larger number of cases could have further resolved what appear to be diverging viral load trends among the groups (<xref ref-type="fig" rid="idm1842333796">Figure 4</xref>). Additionally, as is the case with similar studies, the inherently inconsistent nasopharyngeal swabbing adds an element of assay                   variability. Finally, this was an observation study based on outbreak response and we relied on often inconsistent clinical data and specimens. For example, nasopharyngeal specimens were inconsistently collected from 8 of the cases studied and ECGs were not available to monitor QT prolongation arising from ldCQ or CQLPV. All these                 limitations should be considered when interpreting the data presented here.  </p>
    </sec>
    <sec id="idm1843104756">
      <title>Disclaimer</title>
      <p>Material has been reviewed by the Walter Reed Army Institute of Research. There is no objection to its presentation and/or publication. The opinions or                   assertions contained herein are the private views of the author, and are not to be construed as official, or as              reflecting true views of the Department of the Army or the Department of Defense.</p>
    </sec>
  </body>
  <back>
    <ack>
      <p>All research-related activities at the AFRIMS were funded by the Global Emerging Infections                        Surveillance, Armed Forces Health Surveillance Branch (GEIS-AFHSB). We appreciated study coordinators,                  doctors, nurses  and staff at the Bamrasnaradura               Infectious Diseases Institute, who provided care to their patients and collected the specimens tested here. These include (but not limited to): Drs. Surasak Wiboonchutikul, Wannart (Amornnimit) Pongpirul,  Lantharita                     Charoepong, Patama Suttha, Weerawat Manosuthi and Wisit Prasithsirikul; research coordinators Supeda Thongyen, Anongnuch Sujirarat and Phanasa            Wongsasiriphat; medical technologist Pawita                  Suwanvattana and Unchana Thawornwan. We also thanked Juntra Karbwang MD, PhD and Teerachat Saeheng for their valuable advice to protocol                        development, especially the appropriate time to evaluate CQ level.</p>
    </ack>
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