Single Viral Load Measurements Overestimate Stable Viral Suppression Among HIV Patients in Care: Clinical and Public Health Implications

BACKGROUND:The HIV continuum of care paradigm uses a single viral load test per patient to estimate the prevalence of viral suppression. We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. METHODS:The retrospective analy...

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Veröffentlicht in:Journal of acquired immune deficiency syndromes (1999) 2016-10, Vol.73 (2), p.205-212
Hauptverfasser: Marks, Gary, Patel, Unnati, Stirratt, Michael J, Mugavero, Michael J, Mathews, William C, Giordano, Thomas P, Crepaz, Nicole, Gardner, Lytt I, Grossman, Cynthia, Davila, Jessica, Sullivan, Meg, Rose, Charles E, OʼDaniels, Christine, Rodriguez, Allan, Wawrzyniak, Andrew J, Golden, Matthew R, Dhanireddy, Shireesha, Ellison, Jacqueline, Drainoni, Mari-Lynn, Metsch, Lisa R, Cachay, Edward R
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container_end_page 212
container_issue 2
container_start_page 205
container_title Journal of acquired immune deficiency syndromes (1999)
container_volume 73
creator Marks, Gary
Patel, Unnati
Stirratt, Michael J
Mugavero, Michael J
Mathews, William C
Giordano, Thomas P
Crepaz, Nicole
Gardner, Lytt I
Grossman, Cynthia
Davila, Jessica
Sullivan, Meg
Rose, Charles E
OʼDaniels, Christine
Rodriguez, Allan
Wawrzyniak, Andrew J
Golden, Matthew R
Dhanireddy, Shireesha
Ellison, Jacqueline
Drainoni, Mari-Lynn
Metsch, Lisa R
Cachay, Edward R
description BACKGROUND:The HIV continuum of care paradigm uses a single viral load test per patient to estimate the prevalence of viral suppression. We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. METHODS:The retrospective analysis included HIV patients who had at least 2 viral load tests during a 12-month observation period. We assessed the (1) percent with suppressed viral load (
doi_str_mv 10.1097/QAI.0000000000001036
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We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. METHODS:The retrospective analysis included HIV patients who had at least 2 viral load tests during a 12-month observation period. We assessed the (1) percent with suppressed viral load (&lt;200 copies/mL) based on a single test during observation, (2) percent with suppressed viral loads on all tests during observation, (3) percent who maintained viral suppression among patients whose first observed viral load was suppressed, and (4) change in viral suppression status comparing first with last measurement occasions. Prevalence ratios compared demographic and clinical subgroups. RESULTS:Of 10,942 patients, 78.5% had a suppressed viral load based on a single test, whereas 65.9% were virally suppressed on all tests during observation. Of patients whose first observed viral load was suppressed, 87.5% were suppressed on all subsequent tests in the next 12 months. More patients exhibited improving status (13.3% went from unsuppressed to suppressed) than worsening status (5.6% went from suppressed to unsuppressed). Stable suppression was less likely among women, younger patients, black patients, those recently diagnosed with HIV, and those who missed ≥1 scheduled clinic visits. CONCLUSIONS:Using single viral load measurements overestimated the percent of HIV patients with stable suppressed viral load by 16% (relative difference). Targeted clinical interventions are needed to increase the percent of patients with stable suppression.</description><identifier>ISSN: 1525-4135</identifier><identifier>EISSN: 1944-7884</identifier><identifier>DOI: 10.1097/QAI.0000000000001036</identifier><identifier>PMID: 27105049</identifier><identifier>CODEN: JDSRET</identifier><language>eng</language><publisher>United States: Copyright Wolters Kluwer Health, Inc. All rights reserved</publisher><subject>AIDS/HIV ; Demographics ; HIV ; HIV Infections - virology ; Human immunodeficiency virus ; Humans ; Intervention ; Lentivirus ; Public health ; Public Health Practice ; Retroviridae ; Viral Load</subject><ispartof>Journal of acquired immune deficiency syndromes (1999), 2016-10, Vol.73 (2), p.205-212</ispartof><rights>Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.</rights><rights>Copyright Lippincott Williams &amp; Wilkins Oct 1, 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5186-aebd89fb14e3a1107b851fb0bed8905381f27efbfc357599c89645eef907669d3</citedby><cites>FETCH-LOGICAL-c5186-aebd89fb14e3a1107b851fb0bed8905381f27efbfc357599c89645eef907669d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27105049$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marks, Gary</creatorcontrib><creatorcontrib>Patel, Unnati</creatorcontrib><creatorcontrib>Stirratt, Michael J</creatorcontrib><creatorcontrib>Mugavero, Michael J</creatorcontrib><creatorcontrib>Mathews, William C</creatorcontrib><creatorcontrib>Giordano, Thomas P</creatorcontrib><creatorcontrib>Crepaz, Nicole</creatorcontrib><creatorcontrib>Gardner, Lytt I</creatorcontrib><creatorcontrib>Grossman, Cynthia</creatorcontrib><creatorcontrib>Davila, Jessica</creatorcontrib><creatorcontrib>Sullivan, Meg</creatorcontrib><creatorcontrib>Rose, Charles E</creatorcontrib><creatorcontrib>OʼDaniels, Christine</creatorcontrib><creatorcontrib>Rodriguez, Allan</creatorcontrib><creatorcontrib>Wawrzyniak, Andrew J</creatorcontrib><creatorcontrib>Golden, Matthew R</creatorcontrib><creatorcontrib>Dhanireddy, Shireesha</creatorcontrib><creatorcontrib>Ellison, Jacqueline</creatorcontrib><creatorcontrib>Drainoni, Mari-Lynn</creatorcontrib><creatorcontrib>Metsch, Lisa R</creatorcontrib><creatorcontrib>Cachay, Edward R</creatorcontrib><title>Single Viral Load Measurements Overestimate Stable Viral Suppression Among HIV Patients in Care: Clinical and Public Health Implications</title><title>Journal of acquired immune deficiency syndromes (1999)</title><addtitle>J Acquir Immune Defic Syndr</addtitle><description>BACKGROUND:The HIV continuum of care paradigm uses a single viral load test per patient to estimate the prevalence of viral suppression. We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. METHODS:The retrospective analysis included HIV patients who had at least 2 viral load tests during a 12-month observation period. We assessed the (1) percent with suppressed viral load (&lt;200 copies/mL) based on a single test during observation, (2) percent with suppressed viral loads on all tests during observation, (3) percent who maintained viral suppression among patients whose first observed viral load was suppressed, and (4) change in viral suppression status comparing first with last measurement occasions. Prevalence ratios compared demographic and clinical subgroups. RESULTS:Of 10,942 patients, 78.5% had a suppressed viral load based on a single test, whereas 65.9% were virally suppressed on all tests during observation. Of patients whose first observed viral load was suppressed, 87.5% were suppressed on all subsequent tests in the next 12 months. More patients exhibited improving status (13.3% went from unsuppressed to suppressed) than worsening status (5.6% went from suppressed to unsuppressed). Stable suppression was less likely among women, younger patients, black patients, those recently diagnosed with HIV, and those who missed ≥1 scheduled clinic visits. CONCLUSIONS:Using single viral load measurements overestimated the percent of HIV patients with stable suppressed viral load by 16% (relative difference). Targeted clinical interventions are needed to increase the percent of patients with stable suppression.</description><subject>AIDS/HIV</subject><subject>Demographics</subject><subject>HIV</subject><subject>HIV Infections - virology</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Intervention</subject><subject>Lentivirus</subject><subject>Public health</subject><subject>Public Health Practice</subject><subject>Retroviridae</subject><subject>Viral Load</subject><issn>1525-4135</issn><issn>1944-7884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNks9u1DAQxiMEoqXwBghZ4sJli53Yic0BabUCdqVFLVro1XKSya6LYwc7acUb8NhMu2VVekD44j_z-z7NjCfLXjJ6yqiq3n6Zr07pvcVoUT7KjpnifFZJyR_jWeRixlkhjrJnKV0iU3KunmZHecWooFwdZ7821m8dkAsbjSPrYFryGUyaIvTgx0TOriBCGm1vRiCb0dQHdjMNA4aSDZ7M--C3ZLm6IOdmtLdC68nCRHhHFs5626DA-JacT7WzDVmCceOOrPoBb6gIPj3PnnTGJXhxt59k3z5--LpYztZnn1aL-XrWCCbLmYG6laqrGYfCMEarWgrW1bQGfKaikKzLK-jqrilEJZRqpCq5AOgUrcpStcVJ9n7vO0x1D22DyWI1eohYYvypg7H674i3O70NV1qgUUkrNHhzZxDDjwl7o3ubGnDOeAhT0kzmlVRcMvU_KBUqV1Qi-voBehmm6LETN5RATlKKFN9TTQwpRegOeTOqb6ZC41Toh1OBslf3az6I_owBAnIPXAc3Qkzf3XQNUe9uv-nf3r8B6e7Esg</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Marks, Gary</creator><creator>Patel, Unnati</creator><creator>Stirratt, Michael J</creator><creator>Mugavero, Michael J</creator><creator>Mathews, William C</creator><creator>Giordano, Thomas P</creator><creator>Crepaz, Nicole</creator><creator>Gardner, Lytt I</creator><creator>Grossman, Cynthia</creator><creator>Davila, Jessica</creator><creator>Sullivan, Meg</creator><creator>Rose, Charles E</creator><creator>OʼDaniels, Christine</creator><creator>Rodriguez, Allan</creator><creator>Wawrzyniak, Andrew J</creator><creator>Golden, Matthew R</creator><creator>Dhanireddy, Shireesha</creator><creator>Ellison, Jacqueline</creator><creator>Drainoni, Mari-Lynn</creator><creator>Metsch, Lisa R</creator><creator>Cachay, Edward R</creator><general>Copyright Wolters Kluwer Health, Inc. 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We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. METHODS:The retrospective analysis included HIV patients who had at least 2 viral load tests during a 12-month observation period. We assessed the (1) percent with suppressed viral load (&lt;200 copies/mL) based on a single test during observation, (2) percent with suppressed viral loads on all tests during observation, (3) percent who maintained viral suppression among patients whose first observed viral load was suppressed, and (4) change in viral suppression status comparing first with last measurement occasions. Prevalence ratios compared demographic and clinical subgroups. RESULTS:Of 10,942 patients, 78.5% had a suppressed viral load based on a single test, whereas 65.9% were virally suppressed on all tests during observation. Of patients whose first observed viral load was suppressed, 87.5% were suppressed on all subsequent tests in the next 12 months. More patients exhibited improving status (13.3% went from unsuppressed to suppressed) than worsening status (5.6% went from suppressed to unsuppressed). Stable suppression was less likely among women, younger patients, black patients, those recently diagnosed with HIV, and those who missed ≥1 scheduled clinic visits. CONCLUSIONS:Using single viral load measurements overestimated the percent of HIV patients with stable suppressed viral load by 16% (relative difference). Targeted clinical interventions are needed to increase the percent of patients with stable suppression.</abstract><cop>United States</cop><pub>Copyright Wolters Kluwer Health, Inc. All rights reserved</pub><pmid>27105049</pmid><doi>10.1097/QAI.0000000000001036</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Journals@Ovid LWW Legacy Archive; Journals@Ovid Complete; Free E- Journals
subjects AIDS/HIV
Demographics
HIV
HIV Infections - virology
Human immunodeficiency virus
Humans
Intervention
Lentivirus
Public health
Public Health Practice
Retroviridae
Viral Load
title Single Viral Load Measurements Overestimate Stable Viral Suppression Among HIV Patients in Care: Clinical and Public Health Implications
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