{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T03:25:33Z","timestamp":1778901933327,"version":"3.51.4"},"reference-count":44,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2013,9,22]],"date-time":"2013-09-22T00:00:00Z","timestamp":1379808000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["HIV Medicine"],"published-print":{"date-parts":[[2014,2]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>The accuracy of the use of anthropometrics to quantify visceral adipose tissue (<jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content>) in treated <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010infected patients is unknown. We evaluated the predictive accuracy of waist circumference (<jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content>) with and without dual\u2010energy <jats:styled-content style=\"fixed-case\">X<\/jats:styled-content>\u2010ray absorptiometry (<jats:styled-content style=\"fixed-case\">DXA<\/jats:styled-content>)\u2010derived trunk\u2009:\u2009limb fat ratio [fat mass ratio (<jats:styled-content style=\"fixed-case\">FMR<\/jats:styled-content>)] as surrogates for <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> determined using computerized axial tomography (<jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\u2010determined <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We performed a retrospective cohort analysis of treated <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010infected male patients followed at the <jats:styled-content style=\"fixed-case\">M<\/jats:styled-content>odena <jats:styled-content style=\"fixed-case\">HIV C<\/jats:styled-content>linic. We developed prediction equations for <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> using linear regression analysis and <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>pearman correlations. Receiver operating characteristic (<jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>) analysis evaluated the accuracy of <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content> alone or with <jats:styled-content style=\"fixed-case\">FMR<\/jats:styled-content> at discrete <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> thresholds.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The 1500 <jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>aucasian male patients had a median age of 45 years, body mass index (<jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>) of 24, <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content> of 87\u2009cm, <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> area of 127\u2009cm<jats:sup>2<\/jats:sup> and body fat percentage of 14%. The correlation between <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content>\u2010predicted <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CT\u2010VAT<\/jats:styled-content> was 0.613, and this increased significantly if <jats:styled-content style=\"fixed-case\">FMR<\/jats:styled-content> was added. The <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content>\u2010associated <jats:italic><jats:styled-content style=\"fixed-case\">R<\/jats:styled-content><\/jats:italic><jats:sup>2<\/jats:sup> of 0.35 increased to 0.51 if the prediction equation included <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content> plus <jats:styled-content style=\"fixed-case\">FMR<\/jats:styled-content>. The area under the <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curve (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>) using <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content> was 0.795\u22120.820 at all <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> thresholds. The positive predictive value (<jats:styled-content style=\"fixed-case\">PPV<\/jats:styled-content>) and negative predictive value (<jats:styled-content style=\"fixed-case\">NPV<\/jats:styled-content>) changed reciprocally at <jats:styled-content style=\"fixed-case\">CT\u2010VAT<\/jats:styled-content> thresholds from 75 to 200\u2009cm<jats:sup>2<\/jats:sup> and ranged from 0.72 to 0.74, respectively, at a representative <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> of 125\u2009cm<jats:sup>2<\/jats:sup>. Adding the <jats:styled-content style=\"fixed-case\">FMR<\/jats:styled-content> to the predictive equations increased the <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content> in the range of 0.854\u22120.889 with the <jats:styled-content style=\"fixed-case\">PPV<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">NPV<\/jats:styled-content> increasing minimally, ranging from 0.780 to 0.821. Limits of precision were wide, especially at the highest <jats:styled-content style=\"fixed-case\">CT\u2010VAT<\/jats:styled-content> levels, and varied from 24 to 68\u2009cm<jats:sup>2<\/jats:sup>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p><jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content> is a limited surrogate for <jats:styled-content style=\"fixed-case\">CT\u2010VAT<\/jats:styled-content> in this population and <jats:styled-content style=\"fixed-case\">DXA<\/jats:styled-content>\u2010derived parameters do not improve performance indices to a clinically relevant level. These findings should inform the applicability of <jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content> to predict <jats:styled-content style=\"fixed-case\">VAT<\/jats:styled-content> in treated <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010infected male patients.<\/jats:p><\/jats:sec>","DOI":"10.1111\/hiv.12085","type":"journal-article","created":{"date-parts":[[2013,10,11]],"date-time":"2013-10-11T22:11:39Z","timestamp":1381529499000},"page":"98-107","source":"Crossref","is-referenced-by-count":6,"title":["Surrogate markers of visceral adipose tissue in treated <scp>HIV<\/scp>\u2010infected patients: accuracy of waist circumference determination"],"prefix":"10.1111","volume":"15","author":[{"given":"J","family":"Falutz","sequence":"first","affiliation":[{"name":"Department of Medicine McGill University Hospital Center  Montreal Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L","family":"Rosenthall","sequence":"additional","affiliation":[{"name":"Department of Radiology McGill University Hospital Center  Montreal Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D","family":"Kotler","sequence":"additional","affiliation":[{"name":"Department of Medicine St. Luke's Roosevelt Hospital  New York NY USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S","family":"Zona","sequence":"additional","affiliation":[{"name":"Department of Medicine University of Modena and Reggio Emilia  Modena Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G","family":"Guaraldi","sequence":"additional","affiliation":[{"name":"Department of Medicine University of Modena and Reggio Emilia  Modena Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2013,9,22]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAD.0b013e32834dcec9"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/MCO.0b013e3283457a8f"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAD.0b013e32834884e6"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.01234.2003"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/88.4.1088"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1520-037X.2004.3326.x"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1001\/archinternmed.2010.201"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1139\/h02-021"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1385\/JCD:8:3:287"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/64.5.685"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1550-8528.1994.tb00106.x"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atherosclerosis.2009.10.023"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2006.43"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e318233bc6a"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc07-9921"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.106.676379"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-1293.2007.00534.x"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/54.3.471"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0800929"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0801121"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.qai.0000182230.47819.aa"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/45.1.7"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/75.4.683"},{"key":"e_1_2_8_25_1","unstructured":"FalutzJ RosenthallK KotlerD ZonaS GuaraldiG.Surrogate markers of visceral adipose tissue (VAT) in HIV\u2010infected males: how accurate are they?13th International Workshop on Adverse Drug Reactions and Co\u2010morbidities in HIVVol16(Suppl 2). 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