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Decreased Portal Vein Velocity is Predictive of the Development of Portal Vein Thrombosis: a Matched Case-Control Study - PMC
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We aimed to investigate if decreased portal vein (PV) velocity is associated with future PVT. Data on adult patients with cirrhosis and PVT between ..."> <meta name="og:title" content="Decreased Portal Vein Velocity is Predictive of the Development of Portal Vein Thrombosis: a Matched Case-Control Study"> <meta name="og:type" content="article"> <meta name="og:site_name" content="PubMed Central (PMC)"> <meta name="og:description" content="Portal vein thrombosis (PVT) in cirrhosis may lead to hepatic decompensation and increased mortality. We aimed to investigate if decreased portal vein (PV) velocity is associated with future PVT. 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Author manuscript; available in PMC: 2023 Sep 29.</div> <div> <em>Published in final edited form as: </em>Liver Int. 2017 Sep 9;38(1):94–101. doi: <a href="https://doi.org/10.1111/liv.13500" class="usa-link usa-link--external" data-ga-action="click_feat_suppl" target="_blank" rel="noopener noreferrer">10.1111/liv.13500</a> </div> <nav id="journal_context_menu" hidden="hidden"><ul class="menu-list font-family-ui" role="menu"> <li role="presentation"><a href="https://www.ncbi.nlm.nih.gov/pmc/?term=%22Liver%20Int%22%5Bjour%5D" class="usa-link" role="menuitem">Search in PMC</a></li> <li role="presentation"><a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Liver%20Int%22%5Bjour%5D" lang="en" class="usa-link" role="menuitem">Search in PubMed</a></li> <li role="presentation"><a href="https://www.ncbi.nlm.nih.gov/nlmcatalog?term=%22Liver%20Int%22%5BTitle%20Abbreviation%5D" class="usa-link" role="menuitem">View in NLM Catalog</a></li> <li role="presentation"><a href="?term=%22Liver%20Int%22%5Bjour%5D" class="usa-link" role="menuitem" data-add-to-search="true">Add to search</a></li> </ul></nav></section><section class="front-matter"><div class="ameta p font-secondary font-xs"> <hgroup><h1>Decreased Portal Vein Velocity is Predictive of the Development of Portal Vein Thrombosis: a Matched Case-Control Study</h1></hgroup><div class="cg p"> <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Stine%20JG%22%5BAuthor%5D" class="usa-link" aria-describedby="id1"><span class="name western">Jonathan G Stine</span></a><div hidden="hidden" id="id1"> <h3> <span class="name western">Jonathan G Stine</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>1</sup>Center for the Study of Coagulation Disorders in Liver Disease, Division of Gastroenterology & Hepatology, Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Stine%20JG%22%5BAuthor%5D" class="usa-link"><span class="name western">Jonathan G Stine</span></a> </div> </div> <sup>1</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Wang%20J%22%5BAuthor%5D" class="usa-link" aria-describedby="id2"><span class="name western">Jennifer Wang</span></a><div hidden="hidden" id="id2"> <h3> <span class="name western">Jennifer Wang</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>2</sup>Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Wang%20J%22%5BAuthor%5D" class="usa-link"><span class="name western">Jennifer Wang</span></a> </div> </div> <sup>2</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Shah%20PM%22%5BAuthor%5D" class="usa-link" aria-describedby="id3"><span class="name western">Puja M Shah</span></a><div hidden="hidden" id="id3"> <h3> <span class="name western">Puja M Shah</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>3</sup>Department of Surgery, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Shah%20PM%22%5BAuthor%5D" class="usa-link"><span class="name western">Puja M Shah</span></a> </div> </div> <sup>3</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Argo%20CK%22%5BAuthor%5D" class="usa-link" aria-describedby="id4"><span class="name western">Curtis K Argo</span></a><div hidden="hidden" id="id4"> <h3> <span class="name western">Curtis K Argo</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>1</sup>Center for the Study of Coagulation Disorders in Liver Disease, Division of Gastroenterology & Hepatology, Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Argo%20CK%22%5BAuthor%5D" class="usa-link"><span class="name western">Curtis K Argo</span></a> </div> </div> <sup>1</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Intagliata%20N%22%5BAuthor%5D" class="usa-link" aria-describedby="id5"><span class="name western">Nicolas Intagliata</span></a><div hidden="hidden" id="id5"> <h3> <span class="name western">Nicolas Intagliata</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>1</sup>Center for the Study of Coagulation Disorders in Liver Disease, Division of Gastroenterology & Hepatology, Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Intagliata%20N%22%5BAuthor%5D" class="usa-link"><span class="name western">Nicolas Intagliata</span></a> </div> </div> <sup>1</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Uflacker%20A%22%5BAuthor%5D" class="usa-link" aria-describedby="id6"><span class="name western">Andre Uflacker</span></a><div hidden="hidden" id="id6"> <h3> <span class="name western">Andre Uflacker</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>4</sup>Division of Interventional Radiology, Department of Radiology, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Uflacker%20A%22%5BAuthor%5D" class="usa-link"><span class="name western">Andre Uflacker</span></a> </div> </div> <sup>4</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Caldwell%20SH%22%5BAuthor%5D" class="usa-link" aria-describedby="id7"><span class="name western">Stephen H Caldwell</span></a><div hidden="hidden" id="id7"> <h3> <span class="name western">Stephen H Caldwell</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>1</sup>Center for the Study of Coagulation Disorders in Liver Disease, Division of Gastroenterology & Hepatology, Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Caldwell%20SH%22%5BAuthor%5D" class="usa-link"><span class="name western">Stephen H Caldwell</span></a> </div> </div> <sup>1</sup>, <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Northup%20PG%22%5BAuthor%5D" class="usa-link" aria-describedby="id8"><span class="name western">Patrick G Northup</span></a><div hidden="hidden" id="id8"> <h3> <span class="name western">Patrick G Northup</span>, <span class="degrees">MD</span> </h3> <div class="p"> <sup>1</sup>Center for the Study of Coagulation Disorders in Liver Disease, Division of Gastroenterology & Hepatology, Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div class="p">Find articles by <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%22Northup%20PG%22%5BAuthor%5D" class="usa-link"><span class="name western">Patrick G Northup</span></a> </div> </div> <sup>1</sup> </div> <ul class="d-buttons inline-list"> <li><button class="d-button" aria-controls="aip_a" aria-expanded="false">Author information</button></li> <li><button class="d-button" aria-controls="anp_a" aria-expanded="false">Article notes</button></li> <li><button class="d-button" aria-controls="clp_a" aria-expanded="false">Copyright and License information</button></li> </ul> <div class="d-panels font-secondary-light"> <div id="aip_a" class="d-panel p" style="display: none"> <div class="p" id="A1"> <sup>1</sup>Center for the Study of Coagulation Disorders in Liver Disease, Division of Gastroenterology & Hepatology, Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div id="A2"> <sup>2</sup>Department of Medicine, University of Virginia, Charlottesville, VA, USA</div> <div id="A3"> <sup>3</sup>Department of Surgery, University of Virginia, Charlottesville, VA, USA</div> <div id="A4"> <sup>4</sup>Division of Interventional Radiology, Department of Radiology, University of Virginia, Charlottesville, VA, USA</div> <div class="author-notes p"><div class="fn" id="FN1"> <sup>✉</sup><p class="display-inline">Correspondence: Jonathan G. Stine, MD MSc, FACP, Division of Gastroenterology and Hepatology, JPA and Lee Street, MSB 2145, PO Box 800708, University of Virginia, Charlottesville, VA 22908-0708, Office: 434.297.7509, Fax: 434.244.9454</p> </div></div> </div> <div id="anp_a" class="d-panel p" style="display: none"><div class="notes p"><section id="historyarticle-meta1" class="history"><p>Issue date 2018 Jan.</p></section></div></div> <div id="clp_a" class="d-panel p" style="display: none"><div class="p"><a href="/about/copyright/" class="usa-link">PMC Copyright notice</a></div></div> </div> <div>PMCID: PMC10540634 NIHMSID: NIHMS886108 PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/28632958/" class="usa-link">28632958</a> </div> <div class="ra xbox p" role="complementary" aria-label="Related or updated information about this article"><div>The publisher's version of this article is available at <a href="https://doi.org/10.1111/liv.13500" class="usa-link usa-link--external" data-ga-action="click_feat_suppl" target="_blank" rel="noopener noreferrer">Liver Int</a> </div></div> </div></section></section><section aria-label="Article content"><section class="body main-article-body"><section class="abstract" id="abstract1"><h2>Abstract</h2> <section id="S1"><h3 class="pmc_sec_title">Background & Aims</h3> <p id="P1">Portal vein thrombosis (PVT) in cirrhosis may lead to hepatic decompensation and increased mortality. We aimed to investigate if decreased portal vein (PV) velocity is associated with future PVT.</p></section><section id="S2"><h3 class="pmc_sec_title">Methods</h3> <p id="P2">Data on adult patients with cirrhosis and PVT between January 1, 2005 and July 30, 2015 were obtained. Cases with PVT were matched by age, gender and Model for End stage Liver Disease (MELD) score to corresponding controls without PVT. Cox proportional hazards models, receiver operator curves and Kaplan Meier curves were constructed.</p></section><section id="S3"><h3 class="pmc_sec_title">Results</h3> <p id="P3">One hundred subjects (50 matched pairs) with mean age 53.8 +/− 13.1 years and MELD score 14.9 +/− 5.5 were included in our analysis. 64% were male and 76% were Child-Turcotte-Pugh Class A or B. Baseline characteristics (prior to development of PVT) were similar, except for baseline PV velocity (16.9 cm/s, 95% CI 13.9–20.0 PVT vs. 25.0, 95% CI 21.8–28.8 no PVT, p<0.001). 30 PVT subjects had PV velocity <15 cm/s compared to five without PVT (p<0.001). On adjusted multivariable analysis, PV velocity was the strongest independent risk factor predicting PVT development (HR 0.86, 95% CI 0.80–0.93). The predictive value for PVT development was greatest for flow < 15 cm/s (c-statistic 0.77). PV velocity <15cm/s had a highly significant association with future PVT (HR 6.00, 95% CI 2.20–16.40, p=<0.001).</p></section><section id="S4"><h3 class="pmc_sec_title">Conclusions</h3> <p id="P4">Decreased PV velocity is associated with increased risk of future PVT. Patients with cirrhosis and decreased PV velocity are a high-risk subgroup that warrants further investigation with prospective study.</p></section><section id="kwd-group1" class="kwd-group"><p><strong>Keywords:</strong> Cirrhosis, coagulopathy, thrombosis, prohemostasis</p></section></section><section id="S5"><h2 class="pmc_sec_title">INTRODUCTION</h2> <p id="P5">Portal vein thrombosis (PVT) is classified by the timing of occurrence and extent of vascular involvement.(<a href="#R1" class="usa-link" aria-describedby="R1">1</a>) PVT commonly occurs in patients with cirrhosis with prevalence rates as high as 30% at the time of liver transplantation.(<a href="#R2" class="usa-link" aria-describedby="R2">2</a>–<a href="#R4" class="usa-link" aria-describedby="R4">4</a>) Numerous studies have found that PVT is associated with worse outcomes pre- and post- liver transplantation.(<a href="#R5" class="usa-link" aria-describedby="R5">5</a>–<a href="#R10" class="usa-link" aria-describedby="R10">10</a>) Although controversial, potential adverse outcomes include increased hepatic decompensation, pre- and post-transplantation mortality, post-transplantation complications, hepatic artery thrombosis, and decreased quality of life.(<a href="#R5" class="usa-link" aria-describedby="R5">5</a>–<a href="#R10" class="usa-link" aria-describedby="R10">10</a>) Contradictory evidence exists based on analyses of large national registries and questions remain regarding the role of PVT in cirrhosis.(<a href="#R11" class="usa-link" aria-describedby="R11">11</a>, <a href="#R12" class="usa-link" aria-describedby="R12">12</a>) Development of PVT is a multifactorial process. Cirrhosis and portal hypertension cause changes in liver architecture leading to endothelial cell activation and dysfunction in the setting of impaired portal vein (PV) flow.(<a href="#R5" class="usa-link" aria-describedby="R5">5</a>, <a href="#R13" class="usa-link" aria-describedby="R13">13</a>) PV flow is inversely related to Child-Turcotte-Pugh (CTP) score,(<a href="#R14" class="usa-link" aria-describedby="R14">14</a>) and rates <10 cm/s are associated with increased mortality.(<a href="#R15" class="usa-link" aria-describedby="R15">15</a>) The threshold of flow rate at which PVT risk significantly increases remains unknown. One published report by Zocco et al(<a href="#R13" class="usa-link" aria-describedby="R13">13</a>) found PV flow <15 cm/s to be associated with the development of PVT. This report was limited by a low event rate of PVT, no control arm, statistical imprecision reflected by exceedingly large confidence, exclusion of high-risk patients with inherited thrombophilia, an no adjustment for portosystemic shunting.(<a href="#R16" class="usa-link" aria-describedby="R16">16</a>, <a href="#R17" class="usa-link" aria-describedby="R17">17</a>) In this investigation, we performed a matched case-control study examining the primary hypothesis that PV flow is inversely associated with the development of PVT.</p></section><section id="S6"><h2 class="pmc_sec_title">MATERIALS & METHODS</h2> <section id="S7"><h3 class="pmc_sec_title">Case and Control Selection</h3> <p id="P6">Data on all adult patients with cirrhosis and PVT between January 1, 2005 and July 30, 2015 were obtained from the University of Virginia Clinical Data Repository using billing and administrative codes. Cirrhosis of the liver was confirmed by histological examination of liver biopsy or by biochemical, imaging or endoscopic findings suggesting advanced liver disease with portal hypertension. PVT was detected by imaging with ultrasound, computed tomography (CT) or magnetic resonance imaging (MRI) that showed a definitive thrombus. Obtaining abdominal ultrasound with hepatic portal Doppler is standard of care at our institution for both the inpatient and outpatient setting in evaluating patients with cirrhosis. The thrombus was further classified by degree of thrombosis (partial or occlusive, the latter of which was further subdivided into those subjects with and without cavernous transformation with collateralization) and location in either the portal vein (main, right and/or left) with extension to the superior mesenteric vein or splenic vein. Cases with PVT were matched 1:1 by age (within five years), gender and Model for End stage Liver Disease (MELD) score (within 2 points) to the corresponding controls with cirrhosis but no PVT. MELD score was calculated using the standard formula: 11.2*ln(INR)+9.57*ln[creatinine(mg/dL)]+3.78*ln[bilirubin(mg/dL)]+ 6.43 with a lower limit of 1.0 for all variables.(<a href="#R18" class="usa-link" aria-describedby="R18">18</a>) Patients with PVT in the absence of cirrhosis, transjugular intrahepatic portosystemic shunts (TIPS), and tumor thrombus associated with hepatocellular carcinoma (HCC), as defined by the radiology report in the patient medical record and confirmed by expert opinion, or active non-HCC malignancy were excluded. Cases were required to have an index ultrasound with portal venous Doppler ≥30 days prior to the initial diagnosis of PVT. The time frame between the index ultrasound and the time of PVT diagnosis, death, transplantation or last known status was extracted from the medical record by trained study personnel. Controls were time matched within 30 days of initial ultrasound. Controls were assumed not to have PVT based on ICD-9 codes and direct review of the ultrasound images. The diagnosis of PVT was confirmed by review by trained study personnel of available imaging. Baseline patient characteristics were reviewed, including demographics, etiology of liver disease with portal hypertensive complications (gastroesophageal varices, ascites, and hepatic encephalopathy), medications (including pro- and anticoagulants), laboratory values, and imaging including portal Doppler measurements.</p></section><section id="S8"><h3 class="pmc_sec_title">Ultrasound with Hepatic Portal Doppler Measurements</h3> <p id="P7">Patients were examined with Color-Power Doppler Ultrasound (US) scanners, which included the Philips Epiq 7G (Philips Ultrasound, Inc., Reedsville, PA), Siemens ACUSON (Siemens Medical Solutions USA, Inc., Malvern, PA), and SuperSonic Aixplorer (SuperSonic Imagine, Bothell, WA). Most patients were examined with a 5MHz convex PureWave C 5-1 probe (Philips Ultrasound, Inc.), and some patients with thinner body habitus were examined with a 9MHz convex PureWave C 9-1 probe (Philips Ultrasound, Inc.), at the discretion of the examining sonographer.</p> <p id="P8">All studies were performed by certified sonographers. Patients were required to be fasting >6 hours per our standard institutional protocol. Examination of PV velocities was made in a supine position after approximately 10 minutes of rest. Patients were given detailed instructions on standard breathing patterns in order to minimize respiratory variation. The main PV was identified as the segment between the hepatic hilum and the junction of the splenic vein and superior mesenteric vein by positioning the probe from the epigastrium at a slightly oblique angle. The angle of insonation was kept between 0 and 60 degrees, and the Doppler velocity was obtained within the center of the main portal vein where laminar flow is greatest.</p> <p id="P9">Main PV velocity was automatically calculated by the scanner as the time averaged maximum velocity in, with at least one tracing, and each tracing lasting between 4–6 seconds. The main PV velocity was then recorded in cm/s. For the purposes of this study, portal velocities were acquired from the reported velocity in the finalized radiology report found in the medical record and confirmed by trained independent study investigators utilizing the velocity from the portal wave form tracing of the main PV. If the velocity was not documented in the report, it was obtained by estimating the velocity from the waveform found in the tracing of the main PV by trained investigators. Sixteen subjects did not have calculated velocity by the sonographic machine; seven subjects with PVT and nine subjects without PVT.</p></section><section id="S9"><h3 class="pmc_sec_title">Statistical Analysis</h3> <p id="P10">Univariate analysis was performed using paired t-test and McNemar’s test for categorical and continuous variables as appropriate. Cox proportional hazards regression models were constructed to assess risk factors for the development of new PVT utilizing the c-statistic as a standard measure of the predictive accuracy of the model. Patient characteristics were included as adjustment variables in the conditional logistic regression analysis if they had meaningful unadjusted levels of association in the paired univariate analysis (statistically significant at p<0.20), were clinically important, or had been shown to be significant in prior studies (<a href="#R19" class="usa-link" aria-describedby="R19">19</a>, <a href="#R20" class="usa-link" aria-describedby="R20">20</a>). Receiver operating characteristic curves (ROC) were constructed to assess the sensitivity and specificity of baseline PV velocity in predicting PVT. Matched Kaplan Meier curves stratified based on PVT and PV velocity were constructed for overall and transplant-free survival utilizing the log-rank test to determine statistical significance (log rank ≤ 0.05). Additional Kaplan Meier curves were created with PVT as the event and stratified on PV velocity. All statistical tests for significance were two sided and a significance level p ≤0.05 was considered statistically significant. Data management and analyses were performed using SAS (version 9.4, Cary, NC). Stata version 13 (StataCorp LP, College Station, Texas) was used for graphic generation. Institutional review board approval was obtained from the University of Virginia Health Sciences Research Institutional Review Board. No data from prisoners were included in this study. Informed consent was not obtained from individual patients owing to the retrospective nature of our work.</p></section></section><section id="S10"><h2 class="pmc_sec_title">RESULTS</h2> <p id="P11">One hundred subjects with mean age 53.8 +/− 13.1 years and MELD score 14.9 +/− 5.5 met inclusion criteria, of which there were 50 paired cases with PVT and controls without PVT. Sixty-four percent of the cohort was male and 76% were CTP Class A or B. Chronic hepatitis C (HCV) was the leading cause of underlying liver disease in 31%. Non-alcoholic steatohepatitis (NASH) was the second leading etiology comprising 30%. Mean follow-up was 1,233 +/− 951 days. Twenty-one subjects underwent liver transplantation. One-year cohort overall survival was 87%, three-year 65% and five-year 59%. Transplant-free survival was 75% at one-year, 57% three-year and 34% five-year.</p> <p id="P12">Of the 50 subjects with PVT, 58% (n=39) were partial and 42% (n=21) were chronic. 8% (n=4) had cavernous transformation. Thirty-two involved the main PV, 28 the right and 26 the left. The superior mesenteric vein was involved in 14% (n=7) and no cases of clot extension or primary clot were found in the splenic vein. Ultrasound with hepatic Doppler diagnosed 42 cases whereas MRI was utilized in 16 and CT in seven. Thirty subjects eventually developing PVT had portal flow <15 cm/s (60%) on their index scan. Of the 36 patients with documented portal velocity at the time of PVT diagnosis, 27.8% (n=10) had a decrease from their baseline flow at study entry but on average, a 2.6 cm/s decrease in velocity was observed (median −1.0cm/s, IQR −9.1 to +4.0 cm/s). <a href="#T2" class="usa-link">Table 2</a> describes the characteristics of the PVT cases.</p> <section class="tw xbox font-sm" id="T2"><h3 class="obj_head">Table 2.</h3> <div class="caption p"><p>Characteristics of Portal Vein Thrombosis</p></div> <div class="tbl-box p" tabindex="0"><table class="content" frame="box" rules="all"> <thead><tr> <th valign="top" align="left" rowspan="1" colspan="1"></th> <th valign="top" align="left" rowspan="1" colspan="1">Number (n)</th> <th valign="top" align="left" rowspan="1" colspan="1">Percent (%)</th> </tr></thead> <tbody> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Acuity</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Partial</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">29</td> <td align="left" valign="top" rowspan="1" colspan="1">58.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Chronic</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">21</td> <td align="left" valign="top" rowspan="1" colspan="1">42.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Cavernoma</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">4</td> <td align="left" valign="top" rowspan="1" colspan="1">8.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Location</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Left PV</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">26</td> <td align="left" valign="top" rowspan="1" colspan="1">52.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Right PV</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">28</td> <td align="left" valign="top" rowspan="1" colspan="1">56.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Main PV</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">32</td> <td align="left" valign="top" rowspan="1" colspan="1">64.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Splenic vein</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">0</td> <td align="left" valign="top" rowspan="1" colspan="1">0.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Superior mesenteric vein</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">7</td> <td align="left" valign="top" rowspan="1" colspan="1">14.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Imaging modality</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>US with hepatic Doppler</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">42</td> <td align="left" valign="top" rowspan="1" colspan="1">84.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>CT scan</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">7</td> <td align="left" valign="top" rowspan="1" colspan="1">14.0</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>MRI scan</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">16</td> <td align="left" valign="top" rowspan="1" colspan="1">32.0</td> </tr> </tbody> </table></div> <div class="p text-right font-secondary"><a href="table/T2/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <div class="tw-foot p"> <div class="fn" id="TFN5"><p>CT=computed tomography; MRI=magnetic resonance imaging; PV=portal vein; US=ultrasound</p></div> <div class="fn" id="TFN6"> <sup>*</sup><p class="display-inline">36/42 patients had ultrasound velocities recorded at diagnosis of PVT</p> </div> </div></section><p id="P13">When comparing cases with PVT to controls without PVT at the time of index ultrasound, the two groups were very similar with some notable exceptions (<a href="#T1" class="usa-link">Table 1</a>). Baseline blood flow in the main PV was significantly lower in the PVT group (16.9 cm/s, 95% CI 13.9–20.0 cm/s vs. 25.0 cm/s, 95% CI 21.8–28.2 cm/s, p<0.001). Thirty subjects (60.0%) who eventually developed a PVT had portal blood flow <15 cm/s on their index ultrasound compared to 5 controls (10.0%), p<0.001 (<a href="#F1" class="usa-link">Figure 1</a>). MELD at the time of index ultrasound, age and gender were similar between the cases and the controls indicating appropriate matching, as was etiology of underlying liver disease, portal hypertensive complications and CTP Class. Twenty-six cases with PVT were prescribed non-selective beta blockade (NSBB) at the time of index ultrasound compared to 18 controls (p=0.11). Portal flow was slightly decreased in the subjects on NSBB (20.7 cm/s, 95% CI 16.6–24.9 vs. 21.1 cm/s, 95% CI 18.5–23.7, p = 0.88), however, response to NSBB was only able to be diagnosed in 41% of the cohort, of which 49% met the definition for adequate response defined as a baseline pulse reduction of ≥ 20%(<a href="#R21" class="usa-link" aria-describedby="R21">21</a>, <a href="#R22" class="usa-link" aria-describedby="R22">22</a>) [six out of 11 controls (54.5%) vs. two out of seven cases (28.6%), p=0.28]. Forty-eight patients included had cross-sectional imaging with CT or MRI scans that was able to discern the presence or absence of splenorenal shunts. 27.3% (n=9) of cases with available imaging had a splenorenal shunt compared to 26.7% (n=4) of controls.</p> <section class="tw xbox font-sm" id="T1"><h3 class="obj_head">Table 1.</h3> <div class="caption p"><p>Baseline characteristics</p></div> <div class="tbl-box p" tabindex="0"><table class="content" frame="box" rules="cols"> <thead> <tr> <th valign="top" align="left" rowspan="1" colspan="1"></th> <th valign="top" align="left" rowspan="1" colspan="1">Cases with PVT (n=50)</th> <th valign="top" align="left" rowspan="1" colspan="1">Controls without PVT (n=50)</th> </tr> <tr><th colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </th></tr> </thead> <tbody> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Demographics</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Age, mean years (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">54.5 (51.5–57.6)</td> <td align="left" valign="top" rowspan="1" colspan="1">53.1 (48.8–57.4)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Male gender, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">32 (64.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">32 (64.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>BMI, mean kg/m2 (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">28.6 (26.9–30.4)</td> <td align="left" valign="top" rowspan="1" colspan="1">30.4 (28.0–32.7)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Active smoking, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">15 (30.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">13 (26.5)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Active alcohol use, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">11 (22.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">8 (16.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Medical Comorbidities, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Diabetes</td> <td align="left" valign="top" rowspan="1" colspan="1">15 (30.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">19 (38.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Coronary artery disease</td> <td align="left" valign="top" rowspan="1" colspan="1">4 (8.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">2 (4.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Hypertension</td> <td align="left" valign="top" rowspan="1" colspan="1">16 (32.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">14 (28.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Medications, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Anticoagulants</td> <td align="left" valign="top" rowspan="1" colspan="1">2 (4.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">1 (2.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Aspirin</td> <td align="left" valign="top" rowspan="1" colspan="1">2 (4.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">2 (4.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Nonselective beta-blockade</td> <td align="left" valign="top" rowspan="1" colspan="1">26 (52.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">18 (36.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Diuretics</td> <td align="left" valign="top" rowspan="1" colspan="1">28 (56.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">31 (62.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Lactulose</td> <td align="left" valign="top" rowspan="1" colspan="1">12 (24.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">17 (34.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Rifaxamin</td> <td align="left" valign="top" rowspan="1" colspan="1">8 (16.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">8 (16.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Proton pump inhibitor</td> <td align="left" valign="top" rowspan="1" colspan="1">19 (38.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">20 (40.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Etiology of liver disease, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Alcoholic liver disease</td> <td align="left" valign="top" rowspan="1" colspan="1">9 (18.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">12 (24.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Autoimmune disease</td> <td align="left" valign="top" rowspan="1" colspan="1">2 (4.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">1 (2.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Cholestatic disease</td> <td align="left" valign="top" rowspan="1" colspan="1">6 (12.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">3 (6.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Hepatitis B</td> <td align="left" valign="top" rowspan="1" colspan="1">1 (2.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">0 (0.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Hepatitis C</td> <td align="left" valign="top" rowspan="1" colspan="1">14 (28.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">17 (34.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> NASH</td> <td align="left" valign="top" rowspan="1" colspan="1">16 (32.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">14 (28.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> Other</td> <td align="left" valign="top" rowspan="1" colspan="1">2 (8.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">3 (6.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Severity of Liver Disease</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>MELD score, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">14.6 (13.0–16.2)</td> <td align="left" valign="top" rowspan="1" colspan="1">15.1 (13.6–16.7)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>CTP class, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>A</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">12 (24.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">10 (20.0)</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>B</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">26 (52.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">28 (56.0)</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>C</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">12 (24.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">12 (24.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>HCC, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">2 (4.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">0 (0.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Ascites, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">30 (60.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">31 (62.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Gastroesophageal varices, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">27 (54.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">24 (48.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Hepatic encephalopathy, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">18 (36.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">20 (40.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Laboratory values</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Serum bilirubin, mg/dL, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">3.3 (2.0–4.5)</td> <td align="left" valign="top" rowspan="1" colspan="1">3.3 (1.8–4.9)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>INR, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">1.47 (1.32–1.63)</td> <td align="left" valign="top" rowspan="1" colspan="1">1.45 (1.37–1.52)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Serum albumin, g/dL, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">3.3 (3.1–3.6)</td> <td align="left" valign="top" rowspan="1" colspan="1">3.1 (2.9–3.3)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Creatinine, g/dL, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">0.97 (0.84–1.09)</td> <td align="left" valign="top" rowspan="1" colspan="1">1.04 (0.89–1.19)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Serum sodium, mEq/L, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">137.0 (136.0–138.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">136.1 (134.6–137.6)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Alanine aminotransferase, Units/L, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">82.3 (24.3–140.2)</td> <td align="left" valign="top" rowspan="1" colspan="1">58.8 (38.1–79.5)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Aspartate aminotransferase, Units/L, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">107.3 (59.6–154.9)</td> <td align="left" valign="top" rowspan="1" colspan="1">85.9 (58.3–113.6)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Blood urea nitrogen, mg/dL, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">16.6 (13.3–19.9)</td> <td align="left" valign="top" rowspan="1" colspan="1">17.6 (13.0–22.2)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Serum alkaline phosphatase, Units/L, mean (95% CI)</strong> <a href="#TFN1" class="usa-link"><sup>*</sup></a> </td> <td align="left" valign="top" rowspan="1" colspan="1">143.2 (118.0–160.3)</td> <td align="left" valign="top" rowspan="1" colspan="1">190.9 (161.0–220.7)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Platelet count, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">95.4 (73.6–117.2)</td> <td align="left" valign="top" rowspan="1" colspan="1">111.6 (92.6–130.6)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Mean platelet volume, fL, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">11.4 (10.7–12.2)</td> <td align="left" valign="top" rowspan="1" colspan="1">11.4 (10.8–12.0)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Portal vein characteristics</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1"></td> <td align="left" valign="top" rowspan="1" colspan="1"></td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Main portal vein velocity, mean cm/s (95% CI)</strong> <a href="#TFN3" class="usa-link"><sup>***</sup></a> </td> <td align="left" valign="top" rowspan="1" colspan="1">16.9 (13.9–20.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">25.0 (21.8–28.2)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Main portal vein diameter, cm (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">1.32 (1.04–1.61)</td> <td align="left" valign="top" rowspan="1" colspan="1">1.20 (0.57–1.82)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Splenorenal shunt, n (%)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">9 (27.3)</td> <td align="left" valign="top" rowspan="1" colspan="1">4 (26.7)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Splenic thickness, cm, mean (95% CI)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">15.2 (13.5–16.9)</td> <td align="left" valign="top" rowspan="1" colspan="1">15.1 (8.4–21.7)</td> </tr> <tr><td colspan="3" valign="bottom" align="left" rowspan="1"> <hr> </td></tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Portal vein blood flow <15 cm/s, n (%)</strong> <a href="#TFN3" class="usa-link"><sup>***</sup></a> </td> <td align="left" valign="top" rowspan="1" colspan="1">30 (60.0)</td> <td align="left" valign="top" rowspan="1" colspan="1">5 (10.0)</td> </tr> </tbody> </table></div> <div class="p text-right font-secondary"><a href="table/T1/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <div class="tw-foot p"> <div class="fn" id="TFN1"> <sup>*</sup><p class="display-inline">=P < 0.05</p> </div> <div class="fn" id="TFN2"> <sup>**</sup><p class="display-inline">=P < 0.01</p> </div> <div class="fn" id="TFN3"> <sup>***</sup><p class="display-inline">=P < 0.001</p> </div> <div class="fn" id="TFN4"><p>BMI=Body mass index; CI=Confidence interval; CTP= Child Turcotte Pugh; HCC=Hepatocellular carcinoma; INR=International normalized ratio; NASH=Non-alcoholic steatohepatitis; NS=Not significant (p≥ 0.05); PVT=Portal vein thrombosis</p></div> </div></section><figure class="fig xbox font-sm" id="F1"><h3 class="obj_head">Figure 1. Rate of PVT is dependent on portal vein flow.</h3> <p class="img-box line-height-none margin-x-neg-2 tablet:margin-x-0 text-center"><a class="tileshop" target="_blank" href="https://www.ncbi.nlm.nih.gov/core/lw/2.0/html/tileshop_pmc/tileshop_pmc_inline.html?title=Click%20on%20image%20to%20zoom&p=PMC3&id=10540634_nihms886108f1.jpg"><img class="graphic zoom-in" src="https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9d8/10540634/1b07a72ca73c/nihms886108f1.jpg" loading="lazy" height="604" width="800" alt="Figure 1"></a></p> <div class="p text-right font-secondary"><a href="figure/F1/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <figcaption><p>Portal vein velocity is associated with future portal vein thrombosis development in a dose-dependent fashion with the highest frequency observed in patients with velocity <15 cm/second</p></figcaption></figure><p id="P14">Twelve cases with PVT (24%) were prescribed anticoagulation in either therapeutic or prophylactic dosing. Two received apixaban (2.5 mg twice a day), three rivaroxaban (one 10 mg/day, two 20 mg/day), five low molecular weight heparin (1mg/kg twice daily) and two warfarin (goal INR 2–3). Ten patients had follow-up imaging six months after the diagnosis of PVT of which 70% had either partial (defined as improvement in clot burden and partial recanalization of the portal vein) or complete response to treatment (complete recanalization of the portal vein). Four cases achieved partial recanalization (three rivaroxaban and one low molecular weight heparin) and three obtained complete clot resolution (one apixaban and two low molecular weight heparin). No patients were prescribed therapeutic anticoagulation for treatment indications other than PVT. Four cases had either an inherited or acquired abnormality in hemostasis; one factor V Leiden heterozygote, two with low levels of antithrombin III and four were protein C deficient. No controls underwent testing for inherited or acquired abnormality in hemostasis.</p> <p id="P15">Thirteen cases (26%) died during the follow-up period compared to 6 controls (12%). Five cases (10%) with PVT underwent liver transplantation compared to 16 controls (32%) without PVT. 4 cases (80%) had PVT on direct explant examination at the time of liver transplantation. Mean follow-up was similar between the two groups with 1,175 days (95% CI 912–1439 days) for the controls and 1,290 days (95% CI 1,012–1,568) for PVT cases (p=0.549).</p> <p id="P16">On adjusted multivariable analysis, portal flow on the index scan was the strongest independent risk factor predicting eventual PVT development within 12 months (HR 0.86, 95% CI 0.80–0.93) (<a href="#T3" class="usa-link">Table 3</a>). Area under the receiver operator curve (ROC) was greatest for flow < 15 cm/s (c statistic 0.77). ROC AUC was 0.72 for flow <20 cm/s and 0.55 for flow <10 cm/s. Sensitivity and specificity for portal flow <15 cm was 78% and 72% respectively. Negative predictive value was 74%. For portal flow <15 cm/s, the HR for eventual development of PVT on adjusted multivariable analysis was 6.00 (95% CI 2.20–16.40, p<0.001). For each cm/s the portal velocity drops below 15, the risk of PVT increases six fold. Fifteen patients (43%) with portal velocity <15cm/s developed PVT within 12 months versus eight patients (12.3%) with portal velocity ≥ 15cm/s (p<0.001). Subjects with underlying NASH cirrhosis were also at increased risk for PVT development (HR 5.34, 95% CI 1.53–18.66, p=0.009) while BMI was inversely related to future PVT (HR 0.86, 95% CI 0.79–0.95, p=0.002).</p> <section class="tw xbox font-sm" id="T3"><h3 class="obj_head">Table 3.</h3> <div class="caption p"><p>Adjusted multivariable cox proportional hazards regression analysis for predictors of <em>de novo</em> portal vein thrombosis</p></div> <div class="tbl-box p" tabindex="0"><table class="content" frame="box" rules="all"> <thead><tr> <th valign="top" align="left" rowspan="1" colspan="1"></th> <th valign="top" align="left" rowspan="1" colspan="1">Hazards Ratio</th> <th valign="top" align="left" rowspan="1" colspan="1">95% CI</th> <th valign="top" align="left" rowspan="1" colspan="1">p value</th> </tr></thead> <tbody> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Portal velocity <15 cm/s</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">6.00</td> <td align="left" valign="top" rowspan="1" colspan="1">2.20–16.40</td> <td align="left" valign="top" rowspan="1" colspan="1"><0.001</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Albumin, g/dL</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">0.74</td> <td align="left" valign="top" rowspan="1" colspan="1">0.38–1.48</td> <td align="left" valign="top" rowspan="1" colspan="1">NS</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Platelet count</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">1.00</td> <td align="left" valign="top" rowspan="1" colspan="1">0.99–1.01</td> <td align="left" valign="top" rowspan="1" colspan="1">NS</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Hepatitis C</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">1.35</td> <td align="left" valign="top" rowspan="1" colspan="1">0.48–3.81</td> <td align="left" valign="top" rowspan="1" colspan="1">NS</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>PPI</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">0.49</td> <td align="left" valign="top" rowspan="1" colspan="1">0.22–1.12</td> <td align="left" valign="top" rowspan="1" colspan="1">NS</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>NASH</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">5.34</td> <td align="left" valign="top" rowspan="1" colspan="1">1.53–18.66</td> <td align="left" valign="top" rowspan="1" colspan="1">0.009</td> </tr> <tr> <td align="left" valign="top" rowspan="1" colspan="1"> <strong>Body mass index (kg/m2)</strong> </td> <td align="left" valign="top" rowspan="1" colspan="1">0.86</td> <td align="left" valign="top" rowspan="1" colspan="1">0.79–0.95</td> <td align="left" valign="top" rowspan="1" colspan="1">0.002</td> </tr> </tbody> </table></div> <div class="p text-right font-secondary"><a href="table/T3/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <div class="tw-foot p"><div class="fn" id="TFN7"><p>NASH= nonalcoholic steatohepatitis; PPI= proton pump inhibitor</p></div></div></section><p id="P17">Matched Kaplan-Meier survival curves were constructed to model overall, transplant free survival and time to PVT development. Median time to PVT development was 379 days. Time to PVT development was significantly different when stratified by PV flow (<a href="#F2" class="usa-link">Figure 2</a>). No significant difference was seen when comparing cases to controls with respect to one, three and five-year overall and transplant free survival (<a href="#F3" class="usa-link">Figure 3</a>). No difference was seen when stratifying portal blood flow to those <15 cm/s versus ≥ 15cm/s in one, three and five-year overall and transplant-free survival (<a href="#F4" class="usa-link">Figure 4</a>) however the curves did diverge towards the end of the follow-up period approaching statistical significance for transplant-free survival.</p> <figure class="fig xbox font-sm" id="F2"><h3 class="obj_head">Figure 2. Matched Kaplan Meier Curve for Time-to-PVT Development Stratified by Portal Vein Velocity.</h3> <p class="img-box line-height-none margin-x-neg-2 tablet:margin-x-0 text-center"><img class="graphic" src="https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9d8/10540634/d2db6336aaee/nihms886108f2.jpg" loading="lazy" height="540" width="714" alt="Figure 2"></p> <div class="p text-right font-secondary"><a href="figure/F2/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <figcaption><p>Portal vein velocity <15cm/s is predictive of future portal vein thrombosis development</p></figcaption></figure><figure class="fig xbox font-sm" id="F3"><h3 class="obj_head">Figure 3. Kaplan Meier Overall and Transplant-free Survival Curve Stratified by portal vein flow.</h3> <p class="img-box line-height-none margin-x-neg-2 tablet:margin-x-0 text-center"><img class="graphic" src="https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9d8/10540634/f4edf3c961cd/nihms886108f3.jpg" loading="lazy" height="323" width="800" alt="Figure 3"></p> <div class="p text-right font-secondary"><a href="figure/F3/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <figcaption><p>(a)No differences were observed in overall survival when stratifying on portal vein velocity</p> <p>(b)Portal vein velocity as not associated with differing transplant free survival rates</p></figcaption></figure><figure class="fig xbox font-sm" id="F4"><h3 class="obj_head">Figure 4. Kaplan Meier Overall and Transplant-free Survival Curve Stratified by portal vein thrombosis.</h3> <p class="img-box line-height-none margin-x-neg-2 tablet:margin-x-0 text-center"><a class="tileshop" target="_blank" href="https://www.ncbi.nlm.nih.gov/core/lw/2.0/html/tileshop_pmc/tileshop_pmc_inline.html?title=Click%20on%20image%20to%20zoom&p=PMC3&id=10540634_nihms886108f4.jpg"><img class="graphic zoom-in" src="https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9d8/10540634/99445c45fdbe/nihms886108f4.jpg" loading="lazy" height="228" width="606" alt="Figure 4"></a></p> <div class="p text-right font-secondary"><a href="figure/F4/" class="usa-link" target="_blank" rel="noopener noreferrer">Open in a new tab</a></div> <figcaption><p>(a) Overall survival was similar in patients with and without portal vein thrombosis</p> <p>(b) Transplant free survival was similar in patients with and without portal vein thrombosis</p></figcaption></figure></section><section id="S11"><h2 class="pmc_sec_title">DISCUSSION</h2> <p id="P18">This study confirms the inverse relationship between PV flow and PVT incidence in cirrhosis patients and suggests a possible method to risk stratify patients that may be at higher risk to develop PVT. The major strength of this study is the use of matched case-control methodology, which allows for control of multiple confounding factors associated with portal blood flow. In this cohort, decreased PV flow was significantly associated with increased odds of PVT development when adjusting for other associated factors. PV flow rates <15 cm/s are sensitive for discerning which patients with cirrhosis are at risk for developing future PVT and display an excellent negative predictive value. Based on this cutoff, color Doppler ultrasound to determine portal blood flow should be considered a potential screening tool for identifying those at highest thrombotic risk.</p> <p id="P19">The development of <em>de novo</em> PVT, while multifactorial, is due to the synergistic interaction of vessel wall and endothelial injury,(<a href="#R23" class="usa-link" aria-describedby="R23">23</a>) local factors contributing to hypercoagulability,(<a href="#R24" class="usa-link" aria-describedby="R24">24</a>, <a href="#R25" class="usa-link" aria-describedby="R25">25</a>) and blood flow stasis from portal hypertension. Through increasing the time that blood resides in the large vessels of the mesenteric system, there is presumptive disruption of the physiologic systems in place for regulating coagulation in the microcirculation.(<a href="#R13" class="usa-link" aria-describedby="R13">13</a>) Any alteration in hemodynamics in the hepatic parenchyma, including PVT, which disrupts the delicate balance of inflow and outflow, can lead to hepatocyte ischemia and hormonal deprivation.(<a href="#R3" class="usa-link" aria-describedby="R3">3</a>, <a href="#R26" class="usa-link" aria-describedby="R26">26</a>) The resultant hepatocyte death may lead to tissue atrophy, also known as parenchymal extinction, and ultimately worsening of hepatic fibrosis.(<a href="#R3" class="usa-link" aria-describedby="R3">3</a>)</p> <p id="P20">The majority of our cases with PVT were not prescribed anticoagulation following their diagnosis. Of the 12 patients receiving anticoagulation, 58% achieved either a partial or a complete response by six months and factor Xa inhibitor therapy alone was successful in 83% of cases. These outcomes are promising but should be interpreted with caution due to small sample size and significant heterogeneity in medication dosing and duration. Further prospective study is necessary to confirm the best therapy for PVT.</p> <p id="P21">Whether or not prophylactic intervention in the high-risk group with low portal flow is beneficial remains to be determined. Notably, Villa <em>et al</em> found daily prophylactic dosing of low molecular weight heparin for 12 months prevented development of <em>de novo</em> PVT in patients with compensated cirrhosis.(<a href="#R27" class="usa-link" aria-describedby="R27">27</a>) This has important clinical implications as the authors demonstrated striking differences in hepatic decompensation reduction in the low molecular weight heparin arm with a resultant survival benefit. The findings of the current study reveal an intriguing avenue for future study to aim prophylactic therapy at a potentially higher risk group. Future therapeutic studies should consider focusing on cohorts with slower flow that are higher risk to develop PVT.</p> <p id="P22">Contrary to previous reports, (<a href="#R28" class="usa-link" aria-describedby="R28">28</a>) we did not find a significant association between thrombocytopenia and PVT. Hypoalbuminemia, which has been described as a predictor of thrombotic risk in hospitalized patients with cirrhosis,(<a href="#R29" class="usa-link" aria-describedby="R29">29</a>) was also not associated with a higher odds of PVT. As both thrombocytopenia and hypoalbuminemia can be considered markers of advanced liver disease, our matching by MELD score controlled for liver disease severity in order to avoid confounding with the primary outcome and may offer an explanation to the lack of confirmation of these previous findings. NSBB also did not increase the odds of future PVT development nor did we find statistically or clinically significant differences in baseline portal blood flow despite well-established evidence that NSBB decreases portal flow.(<a href="#R30" class="usa-link" aria-describedby="R30">30</a>, <a href="#R31" class="usa-link" aria-describedby="R31">31</a>) Our study was likely underpowered to fully investigate the effects of NSBB given that only 44% of the cohort was prescribed a NSBB at the time of index ultrasound.</p> <p id="P23">We did confirm our previous findings based on cross-sectional analysis of the UNOS/OPTN database(<a href="#R32" class="usa-link" aria-describedby="R32">32</a>, <a href="#R33" class="usa-link" aria-describedby="R33">33</a>) that subjects with NASH cirrhosis are a high-risk population for PVT development and that NASH is a thrombophilic state. Interestingly, this finding was independent of BMI. In fact, BMI was inversely related to <em>de novo</em> PVT formation, perhaps owing to the fact that BMI is an inaccurate measure of metabolic risk in cirrhosis patients with ascites as 60% of our cohort had ascites.</p> <p id="P24">Our study has several limitations. While outcomes were captured for subjects who did not undergo transplantation, we did not examine outcomes in the subgroup that went on to receive an organ. Our study was underpowered to investigate survival precisely, although there was a trend towards significance when stratifying by PV flow. Complete investigation of the role of spontaneous portosystemic shunts, in particular splenorenal shunts, was also underpowered due to the low numbers of patients (<30%) with available cross-sectional vascular imaging. Thrombophilia testing was not performed in the majority of patients enrolled before 2010 with PVT and in no patients without PVT thus concrete conclusions could not be made about this, however, the 4% prevalence of inherited thrombophilia is similar to a recent meta-analysis of 9 studies that showed a pooled prevalence ranging between 2.9–5.6%.(<a href="#R34" class="usa-link" aria-describedby="R34">34</a>) Standardized outcome assessment in all cases with PVT with six-month ultrasound was also underreported and often not checked in patients with PVT who were not started on anticoagulation, often due to impending mortality. The majority of subjects excluded from our analysis had ultrasounds at referring institutions which were not readily available to review and confirm portal velocity, which in part explains the low event rate of PVT over the ten-year study period, however we attempted to control for differences in ultrasound measurements by matching cases and controls on time within 30-days at enrollment to ensure similar techniques were utilized and allow for intra-pair reliability.</p> <p id="P25">In conclusion, decreased PV velocity is associated with significantly increased risk for the development of PVT within 12 months of index ultrasound and a trend towards lower transplant free survival. Detection of PV flow below 15 cm/s is highly sensitive for predicting future PVT risk. Future prospective studies should seek to expand the knowledge of associated risk factors and investigate the potential role of thromboprophylaxis for prevention of PVT in this high-risk group.</p></section><section id="floats-group1" class="floats-group"><section class="bt xbox font-sm" id="BX1"><h2 class="obj_head">KEY POINTS.</h2> <ul id="L1" class="list" style="list-style-type:disc"> <li><p id="P26">Portal vein thrombosis in cirrhosis may lead to hepatic decompensation and increased mortality</p></li> <li><p id="P27">Risk factors for portal vein thrombosis development remain under investigation.</p></li> <li><p id="P28">On adjusted multivariable analysis, portal vein velocity was the strongest independent risk factor predicting portal vein thrombosis development.</p></li> <li><p id="P29">Portal vein velocity <15cm/s places patients at high-risk for developing future portal vein thrombosis independent of other well-described risk factors and may offer an avenue for future interventional study in this at-risk population</p></li> </ul></section></section><section id="S13" class="ack"><h2 class="pmc_sec_title">Acknowledgments</h2> <p><strong>Grant support:</strong> This work was supported in part by grant funding from the National Institutes of Health (Grant 5T32DK007769-15) and National Institutes of Health Grant Surgical Oncology T32 CA163177</p> <p>The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.</p> <p>This work was supported in part by Health Resources and Services Administration contract 234-2005-370011C. The content is the responsibility of the authors alone and does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.</p> <p>We would like to thank Dennis Kumral, MD for his assistance with data acquisition.</p></section><section id="GL" class="glossary"><h2 class="pmc_sec_title">Abbreviations</h2> <dl class="def-list"> <dt id="G1">CT</dt> <dd><p>computed tomography</p></dd> <dt id="G2">CTP</dt> <dd><p>Child Turcotte Pugh</p></dd> <dt id="G3">HCC</dt> <dd><p>hepatocellular carcinoma</p></dd> <dt id="G4">HCV</dt> <dd><p>hepatitis C</p></dd> <dt id="G5">MELD</dt> <dd><p>model for end-stage liver disease</p></dd> <dt id="G6">MRI</dt> <dd><p>magnetic resonance imaging</p></dd> <dt id="G7">NASH</dt> <dd><p>nonalcoholic steatohepatitis</p></dd> <dt id="G8">NSBB</dt> <dd><p>nonselective beta blocker</p></dd> <dt id="G9">OR</dt> <dd><p>odds ratio</p></dd> <dt id="G10">PV</dt> <dd><p>portal vein</p></dd> <dt id="G11">PVT</dt> <dd><p>portal vein thrombosis</p></dd> <dt id="G12">ROC</dt> <dd><p>receiver operator curve</p></dd> <dt id="G13">TIPS</dt> <dd><p>transjugular intrahepatic portosystemic shunt</p></dd> </dl></section><section id="fn-group1" class="fn-group"><h2 class="pmc_sec_title">Footnotes</h2> <div class="fn-group p font-secondary-light font-sm"> <div class="fn p" id="FN2"><p><strong>Disclosures:</strong> The authors of this manuscript have no conflicts of interest to disclose.</p></div> <div class="fn p" id="FN3"> <p><strong>Authorship statement:</strong> All authors participated in the listed roles below.</p> <p>JS- planning/conducting study, collecting and/or interpreting data, drafting manuscript, final approval</p> <p>JW- collecting data, drafting manuscript, final approval</p> <p>PM- collecting and/or interpreting data, drafting manuscript, final approval</p> <p>NI- drafting manuscript, final approval</p> <p>CA- drafting manuscript, final approval</p> <p>AU- collecting and/or interpreting data, drafting manuscript, final approval</p> <p>SC- drafting manuscript, final approval</p> <p>PN- planning/conducting study, collecting and/or interpreting data, drafting manuscript, final approval</p> </div> </div></section><section id="_ci93_" lang="en" class="contrib-info"><h2 class="pmc_sec_title">Contributor Information</h2> <p>Jonathan G. Stine, Email: jgs9f@virginia.edu.</p> <p>Jennifer Wang, Email: jw4yx@virginia.edu.</p> <p>Puja M. Shah, Email: ps5au@virginia.edu.</p> <p>Curtis K. Argo, Email: cka3d@virginia.edu.</p> <p>Nicolas Intagliata, Email: nmi4d@virginia.edu.</p> <p>Andre Uflacker, Email: au2b@virginia.edu.</p> <p>Stephen H. Caldwell, Email: shc5c@virginia.edu.</p> <p>Patrick G. Northup, Email: northup@virginia.edu.</p></section><section id="ref-list1" class="ref-list"><h2 class="pmc_sec_title">References</h2> <section id="ref-list1_sec2"><ul class="ref-list font-sm" style="list-style-type:none"> <li id="R1"> <span class="label">1.</span><cite>Yerdel MA, Gunson B, Mirza D, et al. Portal vein thrombosis in adults undergoing liver transplantation: risk factors, screening, management, and outcome. 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