<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bassett IV</submitter><funding>NIMH NIH HHS</funding><pagination>1543-1550</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8088454</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>33(12)</volume><pubmed_abstract>Changes in an individual's contextual factors following HIV diagnosis may influence long-term outcomes. We evaluated how changes to contextual factors between HIV diagnosis and 9-month follow-up predict 5-year mortality among HIV-infected individuals in Durban, South Africa enrolled in the Sizanani Trial (NCT01188941). We used random survival forests to identify 9-month variables and changes from baseline predictive of time to mortality. We incorporated these into a Cox proportional hazards model including age, sex, and starting ART by 9 months &lt;i>a priori&lt;/i>, 9-month social support and competing needs, and changes in mental health between baseline and 9 months. Among 1,154 participants with South African ID numbers, 900 (78%) had baseline and 9-month data available of whom 109 (12%) died after 9-month follow-up. Those who reported less social support at 9 months had a 16% higher risk of mortality. Participants who went without basic needs or healthcare at 9 months had a 2.6 times higher hazard of death compared to participants who did not. Low social support and competing needs at 9-month follow-up substantially increase long-term mortality risk. Reassessing contextual factors during follow-up and targeting interventions to increase social support and affordability of care may reduce long-term mortality for HIV-infected individuals in South Africa.</pubmed_abstract><journal>AIDS care</journal><pubmed_title>Changing contextual factors from baseline to 9-months post-HIV diagnosis predict 5-year mortality in Durban, South Africa.</pubmed_title><pmcid>PMC8088454</pmcid><funding_grant_id>R01 MH108427</funding_grant_id><funding_grant_id>R01 MH090326</funding_grant_id><pubmed_authors>Millham L</pubmed_authors><pubmed_authors>Bogart LM</pubmed_authors><pubmed_authors>Boulle A</pubmed_authors><pubmed_authors>Losina E</pubmed_authors><pubmed_authors>Bassett IV</pubmed_authors><pubmed_authors>Giddy J</pubmed_authors><pubmed_authors>Xu A</pubmed_authors><pubmed_authors>Parker RA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Changing contextual factors from baseline to 9-months post-HIV diagnosis predict 5-year mortality in Durban, South Africa.</name><description>Changes in an individual's contextual factors following HIV diagnosis may influence long-term outcomes. We evaluated how changes to contextual factors between HIV diagnosis and 9-month follow-up predict 5-year mortality among HIV-infected individuals in Durban, South Africa enrolled in the Sizanani Trial (NCT01188941). We used random survival forests to identify 9-month variables and changes from baseline predictive of time to mortality. We incorporated these into a Cox proportional hazards model including age, sex, and starting ART by 9 months &lt;i>a priori&lt;/i>, 9-month social support and competing needs, and changes in mental health between baseline and 9 months. Among 1,154 participants with South African ID numbers, 900 (78%) had baseline and 9-month data available of whom 109 (12%) died after 9-month follow-up. Those who reported less social support at 9 months had a 16% higher risk of mortality. Participants who went without basic needs or healthcare at 9 months had a 2.6 times higher hazard of death compared to participants who did not. Low social support and competing needs at 9-month follow-up substantially increase long-term mortality risk. Reassessing contextual factors during follow-up and targeting interventions to increase social support and affordability of care may reduce long-term mortality for HIV-infected individuals in South Africa.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Dec</publication><modification>2024-11-09T03:17:20.398Z</modification><creation>2024-11-09T03:17:20.398Z</creation></dates><accession>S-EPMC8088454</accession><cross_references><pubmed>33138630</pubmed><doi>10.1080/09540121.2020.1837338</doi></cross_references></HashMap>