{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:01:07Z","timestamp":1777554067809,"version":"3.51.4"},"reference-count":49,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["AIDS Patient Care and STDs"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:p>Identifying people with HIV infection (PHIV), who are at risk of not achieving viral suppression, is important for designing targeted intervention. The aim of this study was to develop and test a risk prediction tool for PHIV who are at risk of not achieving viral suppression after a year of being in care. We used retrospective data to develop an integer-based scoring method using backward stepwise logistic regression. We also developed risk score categories based on the quartiles of the total risk score. The risk prediction tool was internally validated by bootstrapping. We found that nonviral suppression after a year of being in care among PHIV can be predicted using seven variables, namely, age group, race, federal poverty level, current AIDS status, current homelessness status, problematic alcohol\/drug use, and current viral suppression status. Those in the high-risk category had about a 23 increase in the odds of nonviral suppression compared with the low-risk group. The risk prediction tool has good discriminative performance and calibration. Our findings suggest that nonviral suppression after a year of being in care can be predicted using easily available variables. In settings with similar demographics, the risk prediction tool can assist health care providers in identifying high-risk individuals to target for intervention. Follow-up studies are required to externally validate this risk prediction tool.<\/jats:p>","DOI":"10.1089\/apc.2019.0224","type":"journal-article","created":{"date-parts":[[2020,4,23]],"date-time":"2020-04-23T15:02:42Z","timestamp":1587654162000},"page":"157-165","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Development and Validation of a Risk Prediction Tool to Identify People with HIV Infection Likely Not to Achieve Viral Suppression"],"prefix":"10.1177","volume":"34","author":[{"given":"Merhawi T.","family":"Gebrezgi","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristopher P.","family":"Fennie","sequence":"additional","affiliation":[{"name":"Division of Natural Sciences, New College of Florida, Sarasota, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diana M.","family":"Sheehan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA."},{"name":"Center for Research on US Latino HIV\/AIDS and Drug Abuse (CRUSADA), Florida International University, Miami, Florida, USA."},{"name":"Research Centers in Minority Institutions (RCMI), Florida International University, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boubakari","family":"Ibrahimou","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra G.","family":"Jones","sequence":"additional","affiliation":[{"name":"Nicole Wertheim College of Nursing &amp; Health Sciences, Florida International University, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petra","family":"Brock","sequence":"additional","affiliation":[{"name":"Behavioral Science Research Corporation, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert A.","family":"Ladner","sequence":"additional","affiliation":[{"name":"Behavioral Science Research Corporation, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mary Jo","family":"Trepka","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA."},{"name":"Research Centers in Minority Institutions (RCMI), Florida International University, Miami, Florida, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,4,21]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"Centers for Diseases Control and Prevention. 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