{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:52:08Z","timestamp":1787014328435,"version":"build-2736575974"},"reference-count":49,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T00:00:00Z","timestamp":1662508800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007155","name":"Medical Research Council Canada","doi-asserted-by":"publisher","award":["MRC_MC_UU_00002\/11"],"award-info":[{"award-number":["MRC_MC_UU_00002\/11"]}],"id":[{"id":"10.13039\/501100007155","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["HIV Medicine"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>\n                      Late HIV diagnosis (CD4\u2009&lt;350 cells\/mm\n                      <jats:sup>3<\/jats:sup>\n                      ) is a key public health metric. In an era of more frequent testing, the likelihood of HIV diagnosis occurring during seroconversion, when CD4 counts may dip below 350, is greater. We applied a correction, considering markers of recent infection, and re\u2010assessed 1\u2010year mortality following late diagnosis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used national epidemiological and laboratory surveillance data from all people diagnosed with HIV in England, Wales, and Northern Ireland (EW&amp;NI). Those with a baseline CD4\u2009&lt;350 were reclassified as \u2018not late\u2019 if they had evidence of recent infection (recency test and\/or negative test within 24\u2009months). A correction factor (CF) was the number reclassified divided by the number with a CD4\u2009&lt;350.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of the 32\u2009227 people diagnosed with HIV in EW&amp;NI between 2011 and 2019 with a baseline CD4 (81% of total), 46% had a CD4\u2009&lt;350 (uncorrected late diagnosis rate): 34% of gay and bisexual men (GBM), 65% of heterosexual men, and 56% of heterosexual women.<\/jats:p>\n                    <jats:p>Accounting for recency test and\/or prior negative tests gave a \u2018corrected\u2019 late diagnosis rate of 39% and corresponding CF of 14%. The CF increased from 10% to 18% during 2011\u20132015, then plateaued, and was larger among GBM (25%) than heterosexual men and women (6% and 7%, respectively). One\u2010year mortality among people diagnosed late was 329 per 10\u2009000 after reclassification (an increase from 288\/10\u2009000).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The case\u2010surveillance definition of late diagnosis increasingly overestimates late presentation, the extent of which differs by key populations. Adjustment of late diagnosis is recommended, particularly for frequent testers such as GBM.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/hiv.13394","type":"journal-article","created":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T04:24:40Z","timestamp":1662524680000},"page":"1127-1142","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Re\u2010assessing the late\n                    <scp>HIV<\/scp>\n                    diagnosis surveillance definition in the era of increased and frequent testing"],"prefix":"10.1111","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6904-0500","authenticated-orcid":false,"given":"Peter D.","family":"Kirwan","sequence":"first","affiliation":[{"name":"United Kingdom Health Security Agency  London UK"},{"name":"Medical Research Council Biostatistics Unit University of Cambridge  Cambridge 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UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6490-6739","authenticated-orcid":false,"given":"Alison E.","family":"Brown","sequence":"additional","affiliation":[{"name":"United Kingdom Health Security Agency  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9952-8109","authenticated-orcid":false,"given":"Valerie C.","family":"Delpech","sequence":"additional","affiliation":[{"name":"United Kingdom Health Security Agency  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,9,7]]},"reference":[{"key":"e_1_2_11_2_1","first-page":"27","article-title":"Reference ranges and sources of variability of CD4 counts in HIV\u2010seronegative women and men","volume":"72","author":"Maini MK","year":"1996","journal-title":"Genitourin 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