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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2022.893232</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>QuantiFERON-Cytomegalovirus Assay for Prediction of Cytomegalovirus Viremia in Kidney Transplant Recipients: Study From High Cytomegalovirus Seroprevalence Country</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Pongsakornkullachart</surname><given-names>Kritsada</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1768090"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chayakulkeeree</surname><given-names>Methee</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1313428"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vongwiwatana</surname><given-names>Attapong</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1668702"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kantakamalakul</surname><given-names>Wannee</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Skulratanasak</surname><given-names>Peenida</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Phoompoung</surname><given-names>Pakpoom</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1657899"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country></aff>
<aff id="aff2"><sup>2</sup><institution>Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country></aff>
<aff id="aff3"><sup>3</sup><institution>Division of Nephrology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jackrapong Bruminhent, Mahidol University, Thailand</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: A. Raj Kumar Patro, Kalinga Institute of Medical Sciences (KIMS), India; Shakti Singh, Lundquist Institute for Biomedical Innovation, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Pakpoom Phoompoung, <email xlink:href="mailto:benefat@hotmail.com">benefat@hotmail.com</email>; <email xlink:href="mailto:pakpoom.pho@mahidol.ac.th">pakpoom.pho@mahidol.ac.th</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Microbes and Innate Immunity, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>893232</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Pongsakornkullachart, Chayakulkeeree, Vongwiwatana, Kantakamalakul, Skulratanasak and Phoompoung</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Pongsakornkullachart, Chayakulkeeree, Vongwiwatana, Kantakamalakul, Skulratanasak and Phoompoung</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Early studies showed the utility of pretransplant QuantiFERON-Cytomegalovirus (QF-CMV) assays for CMV-disease prediction post kidney transplant (KT). However, recent data are conflicting.</p>
</sec>
<sec>
<title>Methods</title>
<p>This prospective cohort study enrolled adult patients undergoing KT between July 2017 and May 2019. Patients with antithymocyte globulin therapy or negative pretransplant CMV IgG were excluded. QF-CMV assays were performed on transplantation day and one month thereafter, and CMV viral loads were obtained 1, 3, and 6 months posttransplantation. The primary outcome was CMV viremia within 6 months. The QF-CMV assay&#x2013;posttransplant CMV viremia association was analyzed.</p>
</sec>
<sec>
<title>Results </title>
<p>Fifty-five patients were enrolled (male, 58.2%; mean (SD) age, 46.5 (10.2) years). Fifty-two (94.5%) received CMV-seropositive donor kidneys. Over 6 months, 29 patients developed CMV viremia (52.7%), with 14 (25.5%) having significant viremia requiring antiviral therapy. The CMV-viremia incidence of patients with nonreactive and reactive baseline QF-CMV assays did not differ significantly (55.3% and 47.1%; <italic>p</italic> = 0.573). Among patients with reactive pretransplant QF-CMV assays, there was a trend toward a lower incidence of CMV viremia for those who were persistently reactive at 1 month after KTs, although there was no statistically significant difference (50% vs 83%; <italic>p</italic> = 0.132).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our study could not support the use of single-timepoint pretransplant or 1-month posttransplant QF-CMV assays as a predictor for posttransplant CMV viremia in CMV seropositive KT recipients. Investigation of the association between dynamic QF-CMV-status changes and CMV-viremia incidence are needed.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cytomegalovirus</kwd>
<kwd>QuantiFERON</kwd>
<kwd>transplant</kwd>
<kwd>immune</kwd>
<kwd>kidney transplant</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="7"/>
<word-count count="3936"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cytomegalovirus (CMV), a member of the human herpesvirus family, remains an important infectious complication in individuals with compromised immune functions, including solid organ transplant (SOT) recipients. Primary infection or reactivation of a latent infection usually occurs within six months of SOT (<xref ref-type="bibr" rid="B5">Fishman et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B16">Razonable and Humar, 2019</xref>). It has direct effects (CMV syndrome and tissue invasive diseases) and indirect effects (allograft dysfunction, rejection, and opportunistic infections) (<xref ref-type="bibr" rid="B5">Fishman et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B16">Razonable and Humar, 2019</xref>). CMV prevention is therefore an important measure to improve patient and graft survival.</p>
<p>The risk of CMV infection in SOT recipients depends on various factors, such as the organ transplanted and immunosuppressive therapy, but donor and recipient serological status are the most well-known risks. The 2 main strategies currently used to prevent CMV infection in SOT recipients are antiviral prophylaxis and preemptive management (<xref ref-type="bibr" rid="B16">Razonable and Humar, 2019</xref>). Traditionally, antiviral prophylaxis has been used as a preferable option in CMV-seronegative recipients receiving organs from CMV-seropositive donors (D+/R-), who have the highest risk of primary CMV infection (<xref ref-type="bibr" rid="B8">Humar et&#xa0;al., 2010</xref>). Either an antiviral prophylaxis or a preemptive approach is recommended in CMV-seropositive recipients (R+), who have an intermediate risk of CMV infection after transplantation (<xref ref-type="bibr" rid="B16">Razonable and Humar, 2019</xref>).</p>
<p>In Thailand, the kidney is the most common organ transplanted in clinical practice, with most kidney transplant (KT) recipients (99%) demonstrating CMV seropositivity (<xref ref-type="bibr" rid="B23">Watcharananan et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B3">Chiasakul et&#xa0;al., 2015</xref>). Previous studies reported that one-quarter of Thai patients developed CMV replication within 6 months of transplantation. Of those, antithymocyte globulin (ATG) therapy was strongly associated with an increased risk of CMV reactivation (<xref ref-type="bibr" rid="B23">Watcharananan et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B3">Chiasakul et&#xa0;al., 2015</xref>). Thus, better risk stratification is needed for seropositive KT recipients who do not receive ATG induction therapy in order to guide the choice of preventative measures.</p>
<p>Over the past decade, specific cell-mediated immunity has been studied to help stratify the risk of CMV infection in this population. The methods include commercially available tests&#x2014;CMV enzyme-linked immunospot (ELISPOT) and QuantiFERON-CMV (QF-CMV) and nonstandardized laboratory methods, such as intracellular cytokine staining (ICS) (<xref ref-type="bibr" rid="B24">Yong et&#xa0;al., 2018</xref>). Of the commercial methods, ELISPOT is much more sensitive than the QF-CMV test (<xref ref-type="bibr" rid="B24">Yong et&#xa0;al., 2018</xref>). Nevertheless, it is costly and more labor intensive since a peripheral blood mononuclear cell isolation is needed. In addition, a lack of defined cutoff values for positivity is an issue of concern. By contrast, QF-CMV is easily performed in many diagnostic laboratories with a shorter turnaround time. Other studies have demonstrated the benefits of using a pretransplant QF-CMV to help stratify the risk of CMV infection in patients undergoing a kidney transplant (KT) (<xref ref-type="bibr" rid="B13">Lochmanova et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B2">Cantisan et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B1">Abate et&#xa0;al., 2013</xref>). Cantisan and colleagues investigated the use of pretransplant QF-CMV with 55 kidney and heart transplant recipients (<xref ref-type="bibr" rid="B2">Cantisan et&#xa0;al., 2013</xref>). The seropositive recipients who had a negative pretransplant QF-CMV assay were more likely to develop a CMV infection after their transplant than the nonreactive group (50% versus 13%, respectively). Nevertheless, recent published studies from Asia have provided conflicting results (<xref ref-type="bibr" rid="B11">Kwon et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B12">Lee et&#xa0;al., 2017</xref>). Hence, we performed this study to evaluate the benefits of using a QF-CMV assay to predict CMV infections in seropositive KT recipients.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Study Design and Study Population</title>
<p>We conducted a single-center, prospective cohort study at Siriraj Hospital, Mahidol University, Bangkok, Thailand. The study period was 23 months (July 1, 2017&#x2013;May 31, 2019). All consecutive adult patients (aged 18 years or older) with CMV seropositivity admitted to the transplant unit for living-related-donor or deceased-donor KTs were eligible for enrollment. The exclusion criteria were patients undergoing a combined organ transplant, receiving valganciclovir or ganciclovir as a prophylaxis, or receiving ATG as induction therapy. The ethics committee at the study institute approved the research protocol.</p>
</sec>
<sec id="s2_2">
<title>Procedures</title>
<p>Potential participants were assessed to confirm their eligibility prior to obtaining their written informed consent. Details of the baseline characteristics of the participants (such as their comorbidities, transplantation details, and donor history) and the use of immunosuppressive drugs were collected. Pre-transplant CMV immunoglobulin G (CMV IgG) was determined using chemiluminescent microparticle immunoassay (CMIA) method (Architect CMV IgG, Abbot, Illinois, USA). Five milliliters of plasma were obtained in a heparin tube for a QuantiFERON-CMV test (QIAGEN, Hilden, Germany) before the operation on the day of the KT (the &#x201c;pre-KT QF-CMV&#x201d;) and 1 month thereafter. Each sample was divided between three QF-CMV collecting tubes: a CMV-antigen tube, a nil-control tube, and a mitogen tube. The tubes were incubated, centrifuged, and assayed using the enzyme-linked immunosorbent method (ELISA), in accordance with the manufacturer&#x2019;s instructions. The primary physicians were blinded to the results of the QF-CMV tests. A cutoff value (CMV-nil control) of 0.2 IU/mL was used for this study. A result of mitogen-nil &lt; 0.5 IU/ml was considered an indeterminate result. Of note, patients with indeterminate results were included in the non-reactive group in the analysis.</p>
<p>Quantitative CMV nucleic acid testing (COBAS TaqMan CMV test; Roche, New Jersey, USA) performed in plasma was monitored at 1, 3 and 6 months after the KT. The lowest detected value was defined as 136 IU/ml. The signs and symptoms of a CMV infection were also monitored during the study period, and additional CMV testing was performed at the discretion of the primary physicians. The treatment of CMV diseases and preemptive management depended on the decision of the primary physician. Of note, since there has been no standard breakpoint of CMV viral load necessitating preemptive therapy, our single center observation showed a trend of disease progression among patients with CMV viral load exceeding 3 logs. As a result, we agreed to start treatment when the CMV viral load reached 1,000 IU/ml in our center.</p>
</sec>
<sec id="s2_3">
<title>Definitions and Outcomes</title>
<p>CMV viremia was defined as any CMV viral load exceeding 136 IU/ml. Significant CMV viremia was any CMV viremia necessitating preemptive therapy (usually CMV viremia with level beyond 1,000 IU/ml, or rapid doubling time, or symptomatic CMV viremia). CMV syndrome and CMV diseases were classified according to the current guidelines of the American Society of Transplantation (<xref ref-type="bibr" rid="B16">Razonable and Humar, 2019</xref>). The primary outcome was the incidence of CMV viremia within 6 months of the KTs. The secondary outcomes were the incidence of significant CMV viremia and CMV diseases within 6 months of the KTs.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analysis</title>
<p>According to a previous study (<xref ref-type="bibr" rid="B2">Cantisan et&#xa0;al., 2013</xref>), the incidence of CMV viremia in nonreactive QF-CMV and reactive QF-CMV groups was 50% and 13%, respectively. To achieve power of 80% by using 2 proportion method, a sample size of 51 patients was estimated by calculation.</p>
<p>Categorical data, such as gender, are presented as frequency and percentage. Continuous data, for example, age, are reported as mean and standard deviation or median with range, depending on the data distribution. Inferential statistics were analyzed using the Chi-squared test or Fisher&#x2019;s exact test. Quantitative statistics were analyzed with the independent-samples t test for normally distributed data, and the Mann&#x2013;Whitney U test for data without a normal distribution. The data were recorded and analyzed using PASW Statistics for Windows (version 18.0; SPSS Inc., Chicago, Ill., USA), and <italic>p</italic>-values less than 0.05 were deemed statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>From July 2017 to May 2019, 67 adult patients underwent KTs at our institution. Sixty-five (97%) had CMV seropositivity at the time of transplantation. Ten patients were excluded from the study (four received ATG as an induction therapy; one received ganciclovir as a CMV prophylaxis; one died within one month of the transplant; one had a postponed KT; and three were excluded because of a shortage of QF-CMV test kits). The data related to the remaining 55 patients were analyzed.</p>
<p>The mean (SD) age of the patients was 46.5 (10.2) years, and the majority were men (32 patients; 58.2%). Diabetes was diagnosed in 7 patients (12.7%). The most common reason for the KT was end-stage renal disease of unknown etiology (32 patients; 58.2%), followed by end-stage glomerular disease (18 patients; 32.7%), autosomal dominant polycystic kidney disease (3 patients; 5.5%), and tubulointerstitial disease (1 patient; 1.8%). Two-thirds (69.1%) underwent a deceased-donor kidney transplantation (DDKT). Fifty-two patients (94.5%) received kidneys from CMV-seropositive donors. The mean (SD) age of the donors was 39 (13.4) years. All but one received basiliximab as an induction therapy. All patients received prednisolone, tacrolimus, or cyclosporin, plus mycophenolate mofetil for maintenance immunosuppression. Immunosuppressive agents were changed from calcineurin inhibitors to everolimus in only 2 patients. The mean dosage of prednisolone at 1<sup>st</sup> and 6<sup>th</sup> month posttransplant was 17 and 2.2 mg/day, respectively.</p>
<p>During the 6-month follow-up, CMV viremia occurred in 29 patients (52.7%); 14 of those patients (25.5%) had significant viremia, but none had CMV syndrome or CMV end-organ diseases. All but one developed CMV viremia within 3 months, with a mean (SD) onset of 65 (30) days. The median (range) CMV viral load for all CMV viremia and significant CMV viremia were 635 (157&#x2013;81,363) and 1,800 (783&#x2013;78,090) IU/ml, respectively. Infectious complications occurred in 29 patients (52.73%), of which urinary tract infections were the most common (17 patients; 58.62%), followed by BK polyomavirus infections (5 patients; 17.2%) and herpes simplex virus infections (3 patients; 10.3%). The infection incidence of the CMV-viremia and no-viremia groups did not differ significantly. A comparison of the baseline characteristics of the patients who did and did not develop CMV viremia is demonstrated in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. The prednisolone and mycophenolate mofetil doses were slightly higher for the CMV viremia group; however, the tacrolimus trough level was lower for the CMV viremia group. A univariate analysis revealed that DDKT and increased donor age were the only factors associated with CMV viremia.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison of baseline characteristics of patients with and without CMV viremia.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">CMV viremia (n = 29)</th>
<th valign="top" align="center">No CMV viremia (n = 26)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="4" align="left"><bold>Pretransplant data</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Recipient age, years [mean (SD)]</td>
<td valign="top" align="center">47.31 (10.6)</td>
<td valign="top" align="center">45.7 (9.87)</td>
<td valign="top" align="center">0.478</td>
</tr>
<tr>
<td valign="top" align="left">Male sex, no (%)</td>
<td valign="top" align="center">18 (62.1%)</td>
<td valign="top" align="center">14 (53.8%)</td>
<td valign="top" align="center">0.537</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Cause of ESRD, no (%)</td>
</tr>
<tr>
<td valign="top" align="left">Glomerular disease</td>
<td valign="top" align="center">9 (31%)</td>
<td valign="top" align="center">9 (34.6%)</td>
<td valign="top" align="center">0.778</td>
</tr>
<tr>
<td valign="top" align="left">ADPKD</td>
<td valign="top" align="center">1 (3.4%)</td>
<td valign="top" align="center">2 (7.7%)</td>
<td valign="top" align="center">0.486</td>
</tr>
<tr>
<td valign="top" align="left">Tubulointerstitial disease</td>
<td valign="top" align="center">1 (3.4%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.347</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">17 (58.6%)</td>
<td valign="top" align="center">15 (57.7%)</td>
<td valign="top" align="center">0.946</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Comorbidities, no (%)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">15 (51.7%)</td>
<td valign="top" align="center">11 (42.3%)</td>
<td valign="top" align="center">0.485</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">5 (17.2%)</td>
<td valign="top" align="center">2 (7.7%)</td>
<td valign="top" align="center">0.426</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td valign="top" align="center">6 (20.7%)</td>
<td valign="top" align="center">2 (7.7%)</td>
<td valign="top" align="center">0.257</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">3 (10.3%)</td>
<td valign="top" align="center">2 (7.7%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Autoimmune disease</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (3.8%)</td>
<td valign="top" align="center">0.473</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left"><bold>Transplant data</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Retransplantation</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2 (7.7%)</td>
<td valign="top" align="center">0.131</td>
</tr>
<tr>
<td valign="top" align="left">Donor type, deceased donor</td>
<td valign="top" align="center">25 (86.2%)</td>
<td valign="top" align="center">13 (50%)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Donor CMV seropositivity (D+)</td>
<td valign="top" align="center">26 (89.7%)</td>
<td valign="top" align="center">26 (100%)</td>
<td valign="top" align="center">0.238</td>
</tr>
<tr>
<td valign="top" align="left">Donor age, years [mean (SD)]</td>
<td valign="top" align="center">43.4 (15.1)</td>
<td valign="top" align="center">34.1 (9.1)</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">Induction therapy with basiliximab</td>
<td valign="top" align="center">28 (96.6%)</td>
<td valign="top" align="center">26 (100%)</td>
<td valign="top" align="center">0.347</td>
</tr>
<tr>
<td valign="top" align="left">Pretransplant leukocyte count, cells/mcl [mean (SD)]</td>
<td valign="top" align="center">5,892 (1,595)</td>
<td valign="top" align="center">6.503 (1,707)</td>
<td valign="top" align="center">0.176</td>
</tr>
<tr>
<td valign="top" align="left">Pretransplant lymphocyte count, cells/mcl [mean (SD)]</td>
<td valign="top" align="center">1,245 (486)</td>
<td valign="top" align="center">1,232 (453)</td>
<td valign="top" align="center">0.922</td>
</tr>
<tr>
<td valign="top" align="left">Cold ischemic time, hours [mean (SD)]</td>
<td valign="top" align="center">17 (4)</td>
<td valign="top" align="center">17 (3)</td>
<td valign="top" align="center">0.870</td>
</tr>
<tr>
<td valign="top" align="left">Delayed graft function, no (%)</td>
<td valign="top" align="center">11 (39.3%)</td>
<td valign="top" align="center">9 (33.3%)</td>
<td valign="top" align="center">0.646</td>
</tr>
<tr>
<td valign="top" align="left">Graft rejection</td>
<td valign="top" align="center">4 (13.8%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.113</td>
</tr>
<tr>
<td valign="top" align="left">Prednisolone dose at 1 month, mg [mean (SD)]</td>
<td valign="top" align="center">23.3 (2.9)</td>
<td valign="top" align="center">17.5 (10.6)</td>
<td valign="top" align="center">0.767</td>
</tr>
<tr>
<td valign="top" align="left">Mycophenolate dose at 1 month, mg [mean (SD))</td>
<td valign="top" align="center">960 (208)</td>
<td valign="top" align="center">405 (445)</td>
<td valign="top" align="center">0.823</td>
</tr>
<tr>
<td valign="top" align="left">Tacrolimus trough level at 1 month, ng/ml [mean (SD)]</td>
<td valign="top" align="center">7.3 (1.3)</td>
<td valign="top" align="center">8 (3)</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">QuantiFERON-CMV [median (range)]</td>
<td valign="top" align="center">1.52 (-0.11-10)</td>
<td valign="top" align="center">1.84 (-2.43-10)</td>
<td valign="top" align="center">0.785</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CMV, cytomegalovirus; SD, standard deviation; ESRD, end stage renal disease; ADPKD, adult polycystic kidney disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>QF-CMV and CMV Viremia</title>
<p>Thirty-eight of the fifty-five enrolled patients (69.1%) had a QF-CMV reactive result on the day of their KT. At 1-month post-KT, 32/38 patients (84.2%) remained reactive, 5/38 had converted to a nonreactive status, and 1/38 had indeterminate result. Among 17 patients with a nonreactive pre-KT QF-CMV status, 13 patients were still nonreactive at 1-month after KTs, 4 patients had converted to indeterminate results.</p>
<p>When using the pretransplant QF-CMV results as a predictor of CMV infection, there was no difference between the incidence of CMV viremia for the patients with a nonreactive or indeterminate QF-CMV result, and that of the reactive group (55.3% vs 47.1%; <italic>p</italic> = 0.573). There was also no difference at 1 month after their KTs (51.5% vs 54.5%; <italic>p</italic> = 0.825). With a cutoff of 0.2 IU/ml, the sensitivity and specificity of the pre-KT QF-CMV assays were 27.6% and 65.4%, respectively. There were 3 patients receiving kidney from seronegative donor. All of them tested positive for baseline QF-CMV, and all developed CMV viremia but only one required CMV treatment. The association between QF-CMV and significant CMV viremia is detailed in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>QF-CMV reactivity (&gt; 0.2 IU/ml at pre-KT and 1 month) and incidence of CMV viremia.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Outcomes</th>
<th valign="top" align="center">Reactive QF-CMV Pre-KT QF-CMV (n = 38)</th>
<th valign="top" align="center">Non-reactive QF-CMV Pre-KT QF-CMV (n = 17)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CMV viremia within 1 month</td>
<td valign="top" align="center">7 (18.4%)</td>
<td valign="top" align="center">3 (17.6%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">CMV viremia within 3 months</td>
<td valign="top" align="center">20 (52.6%)</td>
<td valign="top" align="center">8 (47.1%)</td>
<td valign="top" align="center">0.702</td>
</tr>
<tr>
<td valign="top" align="left">CMV viremia within 6 months</td>
<td valign="top" align="center">21 (55.3%)</td>
<td valign="top" align="center">8 (47.1%)</td>
<td valign="top" align="center">0.573</td>
</tr>
<tr>
<td valign="top" align="left">Significant CMV viremia within 1 month</td>
<td valign="top" align="center">3 (7.9%)</td>
<td valign="top" align="center">2 (11.8%)</td>
<td valign="top" align="center">0.639</td>
</tr>
<tr>
<td valign="top" align="left">Significant CMV viremia within 3 months</td>
<td valign="top" align="center">9 (23.7%)</td>
<td valign="top" align="center">5 (29.4%)</td>
<td valign="top" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left">Significant CMV viremia within 6 months</td>
<td valign="top" align="center">9 (23.7%)</td>
<td valign="top" align="center">5 (29.4%)</td>
<td valign="top" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Outcomes</bold>
</td>
<td valign="top" align="center"><bold>Reactive QF-CMV</bold>
<break/><bold>1<sup>st</sup> month QF-CMV</bold>
<break/><bold> (n = 33)</bold>
</td>
<td valign="top" align="center"><bold>Non-reactive/indeterminate</bold>
<break/><bold>1<sup>st</sup> month QF-CMV</bold>
<break/><bold> (n = 22)</bold>
</td>
<td valign="top" align="center"><bold><italic>P</italic>-value</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">CMV viremia within 1 month</td>
<td valign="top" align="center">7 (21.2%)</td>
<td valign="top" align="center">3 (13.6%)</td>
<td valign="top" align="center">0.723</td>
</tr>
<tr>
<td valign="top" align="left">CMV viremia within 3 months</td>
<td valign="top" align="center">16 (48.5%)</td>
<td valign="top" align="center">12 (54.5%)</td>
<td valign="top" align="center">0.660</td>
</tr>
<tr>
<td valign="top" align="left">CMV viremia within 6 months</td>
<td valign="top" align="center">17 (51.2%)</td>
<td valign="top" align="center">12 (54.5%)</td>
<td valign="top" align="center">0.825</td>
</tr>
<tr>
<td valign="top" align="left">Significant CMV viremia within 1 month</td>
<td valign="top" align="center">2 (60.6%)</td>
<td valign="top" align="center">3 (13.6%)</td>
<td valign="top" align="center">0.379</td>
</tr>
<tr>
<td valign="top" align="left">Significant CMV viremia within 3 months</td>
<td valign="top" align="center">6 (18.2%)</td>
<td valign="top" align="center">8 (36.4%)</td>
<td valign="top" align="center">0.129</td>
</tr>
<tr>
<td valign="top" align="left">Significant CMV viremia within 6 months</td>
<td valign="top" align="center">6 (18.2%)</td>
<td valign="top" align="center">8 (36.4%)</td>
<td valign="top" align="center">0.129</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>QF-CMV, Quantiferon CMV; CMV, cytomegalovirus; KT, kidney transplant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In the case of patients who had a reactive pretransplant QF-CMV assay, the incidence of CMV viremia tended to be lower for those who remained QF-CMV reactive 1 month after their KTs (50% vs 83%; <italic>p</italic> = 0.132). Sixty percent of patients (3/5) who had an indeterminate result 1-month posttransplant developed CMV viremia, while 52% of the patients who had a reactive or nonreactive result developed the same outcome (<italic>p</italic> = 1.000).</p>
<p>Of note,13 patients showed a strong QF-CMV response (CMV-nil control &gt; 10). A further analysis using QF-CMV &gt; 10 IU/ml as the defined cutoff value was performed. Although patients with a reactive pretransplant QF-CMV (2/13; 15.4%) were less likely to develop significant CMV viremia than those in the nonreactive group (13/42; 31%), the difference was not statistically significant. We also noticed that two patients with a pre-KT reactive QF-CMV &gt; 10 IU/ml who had significant CMV viremia demonstrated a relatively lower CMV viral load at CMV diagnosis when compared with those who had QF-CMV &lt; 10 IU/ml (1,016 and 3,256 IU/ml, respectively).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Our study could not demonstrate the value of pretransplant QF-CMV status as a reliable predictor for CMV infections in KT recipients with CMV seropositivity who were classified as intermediate-risk group for CMV infection. Although data from earlier studies support the benefits of obtaining a pretransplant QF-CMV in the high-risk population, especially for patients with a CMV serological mismatch (D+R-) (<xref ref-type="bibr" rid="B10">Kumar et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B15">Manuel et&#xa0;al., 2013</xref>), the benefits are still unclear for the intermediate-risk group. Our results support a previous study performed by Lee and colleagues (<xref ref-type="bibr" rid="B12">Lee et&#xa0;al., 2017</xref>), who compared the efficacies of QF-CMV and ELISPOT assays in KT recipients. They reported a lack of association between pretransplant QF-CMV reactivity and the incidence of CMV viremia after KTs in the intermediate-risk population. In contrast, they found that a CMV-ELISPOT assay performed 1-month posttransplant provided more reactive result and potentially be used as a predictor for CMV replication in this group. This finding was also confirmed by a recent meta-analysis undertaken by Ruan et&#xa0;al. in 2019 (<xref ref-type="bibr" rid="B18">Ruan et&#xa0;al., 2019</xref>), who reported a lower sensitivity with QF-CMV (38%) than CMV-ELISPOT (73%&#x2013;84%).</p>
<p>There are 3 possible explanations for the superior performance of ELISPOT relative to QF-CMV. Firstly, even though both tests use the same principle of IFN-gamma release assay, the QF-CMV assay relies on the detection of interferon-gamma (IFN-&#x3b3;) in whole blood, whereas ELISPOT directly detects the virus-specific T lymphocytes that produce IFN-&#x3b3;, which demonstrates functioning T-lymphocytes <italic>in vivo</italic>. This hypothesis correlates with intracellular cytokine staining which also has the additional ability to detect multiple cytokines and cell-surface markers (<xref ref-type="bibr" rid="B4">Fernandez-Ruiz et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B17">Rogers et&#xa0;al., 2020</xref>). Secondly, QF-CMV can only detect the cytotoxic T-cell (CD8) response, whereas ELISPOT can detect the response from both the helper (CD4) and CD8. (<xref ref-type="bibr" rid="B21">Waldman and Knight, 1996</xref>; <xref ref-type="bibr" rid="B19">Snyder et&#xa0;al., 2016</xref>). Lastly, QF-CMV requires the <italic>ex vivo</italic> stimulation of CD8 T-cells with human leukocyte antigen (HLA)-restricted CMV peptides, while ELISPOT is usually performed with peptide library spanning the whole antigens pp65 and IE-1. (<xref ref-type="bibr" rid="B6">Giulieri and Manuel, 2011</xref>). IE-1 could be crucial in CMV seropositive patients (<xref ref-type="bibr" rid="B14">Lopez-Oliva et&#xa0;al., 2014</xref>) while only 4 peptides presented by specific HLA alleles are included in QF-CMV (<xref ref-type="bibr" rid="B22">Walker et&#xa0;al., 2007</xref>). Lack of these HLA alleles can also cause false-negative QF-CMV tests.</p>
<p>The data from another study showed that patients with indeterminate QF-CMV results had an increased incidence of CMV disease or serious infectious complications (<xref ref-type="bibr" rid="B20">Tarasewicz et&#xa0;al., 2016</xref>). These findings were explained by patients&#x2019; high net state of immunosuppression since patients with an indeterminate result could not stimulate the mitogen. However, our study did not support this finding. There were indeterminate results for the QF-CMV assay (1 month after the KTs) in only 9% of cases, which was much lower than previously reported in the literature (<xref ref-type="bibr" rid="B10">Kumar et&#xa0;al., 2009</xref>). This finding comes as no surprise since our patients were not highly immunosuppressive, having relatively low FK levels (<xref ref-type="bibr" rid="B13">Lochmanova et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B1">Abate et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B11">Kwon et&#xa0;al., 2017</xref>). This might explain the negative association of the indeterminate result.</p>
<p>The appropriate timeline and cutoff value for QF-CMV are not yet clear. Some studies have reported a better utility with cell-mediated immune monitoring 1 month after a KT, which is the period of maximal immunosuppressant levels (<xref ref-type="bibr" rid="B12">Lee et&#xa0;al., 2017</xref>). However, our study could not demonstrate any benefit at this timepoint. Regarding the appropriate cutoff value, we hypothesized that 0.2 IU/ml might be suitable only for CMV-seronegative patients; a higher cutoff value might be required for seropositive recipients exposed to a CMV infection before their KT. Some studies have employed a higher cutoff value to predict CMV disease in transplant recipients (<xref ref-type="bibr" rid="B7">Gliga et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Krawczyk et&#xa0;al., 2018</xref>). For example, data from bone marrow transplant recipients indicated that there was a need for a higher QF-CMV cutoff value (&gt; 8.9 IU/ml) to stratify the risk of CMV disease in that population (<xref ref-type="bibr" rid="B20">Tarasewicz et&#xa0;al., 2016</xref>). Further analysis using QF-CMV &gt; 10 IU/ml as the cutoff value revealed that patients with a reactive pretransplant QF-CMV (15.4%) were less likely to develop significant CMV viremia than those in the nonreactive group (31%). However, the difference did not reach statistical significance. Additional investigation with a larger sample size is required to determine a better cutoff value for intermediate-risk KT recipients.</p>
<p>Interestingly, although a single-timepoint, pretransplant, QF-CMV assay or a 1-month, post-KT, QF-CMV assay might not predict CMV viremia in KT recipients, further analysis found that the incidence of CMV viremia tended to be lower in those patients remaining reactive 1 month after their KTs. These findings suggest that dynamic changes in QF-CMV assays could be more helpful for predicting the incidence of CMV viremia in seropositive KT recipients. As a result, multiple time points of QF-CMV and larger sample sizes are needed to characterize the utility of dynamic changes in the QF-CMV levels to predict CMV viremia after a transplant.</p>
<p>The strength of our study is the homogeneity of the study population in terms of the recipients&#x2019; serostatuses and degrees of immunosuppression. Our main limitation is the small sample size. Moreover, the relatively low frequency of CMV QNAT monitoring in this study may have resulted in the missing of some episodes of CMV viremia with spontaneous viral clearance, thereby causing an outcome measurement bias.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In conclusion, our study could not confirm that single-timepoint pretransplant QF-CMV assay or a 1-month post-KT QF-CMV assay are a useful marker for predicting posttransplant CMV viremia in seropositive KT patients. Further studies with larger sample size are needed to confirm these findings. Multiple time points to evaluate the changes of QF-CMV level with a defined cutoff value may be useful to predict CMV viremia.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Siriraj Institutional Review Board. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>KP: investigation, formal analysis, writing-original draft; MC: writing-review and editing, supervision; AV: resources, writing-review and editing; WK: resources, writing-review and editing; PS: resources, writing-review and editing; PP: conceptualization, methodology, writing-review and editing, visualization. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by a research development grant from Siriraj Hospital (Grant number R016032034). Although the test kits were provided by the Qiagen company, it played no role in the study design, data collection, study analysis, or manuscript writing.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors gratefully acknowledge the statistical analysis assistance provided by Miss Khemjira Karaketklang, MPH, Division of Research and Academics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University.</p>
</ack>
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