<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wong C</submitter><funding>Ontario Ministry of Health and Long Term Care</funding><funding>NICHD NIH HHS</funding><funding>NCATS NIH HHS</funding><funding>NIDA NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>NIAAA NIH HHS</funding><funding>Health Resources and Services Administration</funding><funding>Canadian Institutes of Health Research</funding><funding>CIHR</funding><funding>NEI NIH HHS</funding><funding>Agency for Healthcare Research and Quality</funding><funding>NIMHD NIH HHS</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><pagination>1230-1238</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5889007</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>66(8)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Age-associated conditions are increasingly common among persons living with human immunodeficiency virus (HIV) (PLWH). A longitudinal investigation of their accrual is needed given their implications on clinical care complexity. We examined trends in the co-occurrence of age-associated conditions among PLWH receiving clinical care, and differences in their prevalence by demographic subgroup.&lt;h4>Methods&lt;/h4>This cohort study was nested within the North American AIDS Cohort Collaboration on Research and Design. Participants from HIV outpatient clinics were antiretroviral therapy-exposed PLWH receiving clinical care (ie, ≥1 CD4 count) in the United States during 2000-2009. Multimorbidity was irreversible, defined as having ≥2: hypertension, diabetes mellitus, chronic kidney disease, hypercholesterolemia, end-stage liver disease, or non-AIDS-related cancer. Adjusted prevalence ratios (aPR) and 95% confidence intervals (CIs) comparing demographic subgroups were obtained by Poisson regression with robust error variance, using generalized estimating equations for repeated measures.&lt;h4>Results&lt;/h4>Among 22969 adults, 79% were male, 36% were black, and the median baseline age was 40 years (interquartile range, 34-46 years). Between 2000 and 2009, multimorbidity prevalence increased from 8.2% to 22.4% (Ptrend &lt; .001). Adjusting for age, this trend was still significant (P &lt; .001). There was no difference by sex, but blacks were less likely than whites to have multimorbidity (aPR, 0.87; 95% CI, .77-.99). Multimorbidity was the highest among heterosexuals, relative to men who have sex with men (aPR, 1.16; 95% CI, 1.01-1.34). Hypertension and hypercholesterolemia most commonly co-occurred.&lt;h4>Conclusions&lt;/h4>Multimorbidity prevalence has increased among PLWH. Comorbidity prevention and multisubspecialty management of increasingly complex healthcare needs will be vital to ensuring that they receive needed care.</pubmed_abstract><journal>Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</journal><pubmed_title>Multimorbidity Among Persons Living with Human Immunodeficiency Virus in the United States.</pubmed_title><pmcid>PMC5889007</pmcid><funding_grant_id>K01 AI131895</funding_grant_id><funding_grant_id>K24 DA000432</funding_grant_id><funding_grant_id>U01 AI038858</funding_grant_id><funding_grant_id>U01 AI038855</funding_grant_id><funding_grant_id>KL2 TR000421</funding_grant_id><funding_grant_id>R01 DA011602</funding_grant_id><funding_grant_id>U01 AI068636</funding_grant_id><funding_grant_id>R01 AA016893</funding_grant_id><funding_grant_id>U01 AA020790</funding_grant_id><funding_grant_id>U01 AI103401</funding_grant_id><funding_grant_id>U01 AI103408</funding_grant_id><funding_grant_id>UL1 TR000083</funding_grant_id><funding_grant_id>U01 AI068634</funding_grant_id><funding_grant_id>K23 EY013707</funding_grant_id><funding_grant_id>U10 EY008067</funding_grant_id><funding_grant_id>P30 AI027767</funding_grant_id><funding_grant_id>TGF-96118</funding_grant_id><funding_grant_id>CBR-94036</funding_grant_id><funding_grant_id>P30 AI027763</funding_grant_id><funding_grant_id>U01 AI031834</funding_grant_id><funding_grant_id>U01 AI034989</funding_grant_id><funding_grant_id>HCP-97105</funding_grant_id><funding_grant_id>U01 AI037613</funding_grant_id><funding_grant_id>U01 AI103397</funding_grant_id><funding_grant_id>P30 AI036219</funding_grant_id><funding_grant_id>U01 HD032632</funding_grant_id><funding_grant_id>UM1 AI035043</funding_grant_id><funding_grant_id>UL1 TR000004</funding_grant_id><funding_grant_id>U01 AI035039</funding_grant_id><funding_grant_id>U24 AA020794</funding_grant_id><funding_grant_id>U01 AI103390</funding_grant_id><funding_grant_id>U01 AI042590</funding_grant_id><funding_grant_id>M01 RR000052</funding_grant_id><funding_grant_id>R01 CA165937</funding_grant_id><funding_grant_id>P30 AI050410</funding_grant_id><funding_grant_id>K01 AI093197</funding_grant_id><funding_grant_id>U10 EY008057</funding_grant_id><funding_grant_id>P30 AI027757</funding_grant_id><funding_grant_id>U01 AA013566</funding_grant_id><funding_grant_id>P30 AI110527</funding_grant_id><funding_grant_id>UL1 TR000454</funding_grant_id><funding_grant_id>U01 AI034994</funding_grant_id><funding_grant_id>F31 DA037788</funding_grant_id><funding_grant_id>U01 AI034993</funding_grant_id><funding_grant_id>U01 AI035004</funding_grant_id><funding_grant_id>U10 EY008052</funding_grant_id><funding_grant_id>U01 AI037984</funding_grant_id><funding_grant_id>U01 AI035041</funding_grant_id><funding_grant_id>U01 AI035040</funding_grant_id><funding_grant_id>G12 MD007583</funding_grant_id><funding_grant_id>U01 AI035042</funding_grant_id><funding_grant_id>R24 AG044325</funding_grant_id><funding_grant_id>UL1 RR024131</funding_grant_id><funding_grant_id>P30 AI094189</funding_grant_id><funding_grant_id>R24 AI067039</funding_grant_id><funding_grant_id>U01 DA036935</funding_grant_id><funding_grant_id>K24 AI065298</funding_grant_id><funding_grant_id>R01 AG053100</funding_grant_id><funding_grant_id>90051652</funding_grant_id><funding_grant_id>CBR-86906</funding_grant_id><funding_grant_id>R01 DA012568</funding_grant_id><funding_grant_id>90047713</funding_grant_id><funding_grant_id>U01 AI069918</funding_grant_id><funding_grant_id>U54 MD007587</funding_grant_id><funding_grant_id>Z01 CP010176</funding_grant_id><funding_grant_id>U01 AI069432</funding_grant_id><funding_grant_id>K24 AI118591</funding_grant_id><funding_grant_id>U01 AI069434</funding_grant_id><pubmed_authors>Gebo KA</pubmed_authors><pubmed_authors>Klein MB</pubmed_authors><pubmed_authors>Rabkin CS</pubmed_authors><pubmed_authors>Saag MS</pubmed_authors><pubmed_authors>Hunter-Mellado RF</pubmed_authors><pubmed_authors>Sterling TR</pubmed_authors><pubmed_authors>Mugavero MJ</pubmed_authors><pubmed_authors>Globerman J</pubmed_authors><pubmed_authors>Haas D</pubmed_authors><pubmed_authors>Patel P</pubmed_authors><pubmed_authors>Eron JJ</pubmed_authors><pubmed_authors>Anastos K</pubmed_authors><pubmed_authors>Gange SJ</pubmed_authors><pubmed_authors>Kitahata MM</pubmed_authors><pubmed_authors>Harrigan PR</pubmed_authors><pubmed_authors>Moore RD</pubmed_authors><pubmed_authors>Boswell S</pubmed_authors><pubmed_authors>Benson CA</pubmed_authors><pubmed_authors>Koethe JR</pubmed_authors><pubmed_authors>Justice AC</pubmed_authors><pubmed_authors>Mayor A</pubmed_authors><pubmed_authors>Crane HM</pubmed_authors><pubmed_authors>North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD)</pubmed_authors><pubmed_authors>Bosch RJ</pubmed_authors><pubmed_authors>Palella FJ</pubmed_authors><pubmed_authors>Martin JN</pubmed_authors><pubmed_authors>Rachlis AR</pubmed_authors><pubmed_authors>Althoff KN</pubmed_authors><pubmed_authors>Abraham AG</pubmed_authors><pubmed_authors>Cescon A</pubmed_authors><pubmed_authors>Rourke SB</pubmed_authors><pubmed_authors>Samji H</pubmed_authors><pubmed_authors>Fiellin D</pubmed_authors><pubmed_authors>Buchacz K</pubmed_authors><pubmed_authors>Mayer KH</pubmed_authors><pubmed_authors>Hogg RS</pubmed_authors><pubmed_authors>Montaner JS</pubmed_authors><pubmed_authors>Drozd DR</pubmed_authors><pubmed_authors>Kopansky-Giles M</pubmed_authors><pubmed_authors>Boyd CM</pubmed_authors><pubmed_authors>Rodriguez B</pubmed_authors><pubmed_authors>Gabler K</pubmed_authors><pubmed_authors>Wong C</pubmed_authors><pubmed_authors>Gill MJ</pubmed_authors><pubmed_authors>McKaig RG</pubmed_authors><pubmed_authors>Thorne J</pubmed_authors><pubmed_authors>Turner M</pubmed_authors><pubmed_authors>Willig J</pubmed_authors><pubmed_authors>Bebawy S</pubmed_authors><pubmed_authors>Silverberg MJ</pubmed_authors><pubmed_authors>Rogers B</pubmed_authors><pubmed_authors>Dubrow R</pubmed_authors><pubmed_authors>Jacobson LP</pubmed_authors><pubmed_authors>Napravnik S</pubmed_authors><pubmed_authors>Kirk GD</pubmed_authors><pubmed_authors>Rebeiro PF</pubmed_authors><pubmed_authors>Brooks JT</pubmed_authors><pubmed_authors>Grasso C</pubmed_authors><pubmed_authors>Horberg MA</pubmed_authors><pubmed_authors>Freeman AM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multimorbidity Among Persons Living with Human Immunodeficiency Virus in the United States.</name><description>&lt;h4>Background&lt;/h4>Age-associated conditions are increasingly common among persons living with human immunodeficiency virus (HIV) (PLWH). A longitudinal investigation of their accrual is needed given their implications on clinical care complexity. We examined trends in the co-occurrence of age-associated conditions among PLWH receiving clinical care, and differences in their prevalence by demographic subgroup.&lt;h4>Methods&lt;/h4>This cohort study was nested within the North American AIDS Cohort Collaboration on Research and Design. Participants from HIV outpatient clinics were antiretroviral therapy-exposed PLWH receiving clinical care (ie, ≥1 CD4 count) in the United States during 2000-2009. Multimorbidity was irreversible, defined as having ≥2: hypertension, diabetes mellitus, chronic kidney disease, hypercholesterolemia, end-stage liver disease, or non-AIDS-related cancer. Adjusted prevalence ratios (aPR) and 95% confidence intervals (CIs) comparing demographic subgroups were obtained by Poisson regression with robust error variance, using generalized estimating equations for repeated measures.&lt;h4>Results&lt;/h4>Among 22969 adults, 79% were male, 36% were black, and the median baseline age was 40 years (interquartile range, 34-46 years). Between 2000 and 2009, multimorbidity prevalence increased from 8.2% to 22.4% (Ptrend &lt; .001). Adjusting for age, this trend was still significant (P &lt; .001). There was no difference by sex, but blacks were less likely than whites to have multimorbidity (aPR, 0.87; 95% CI, .77-.99). Multimorbidity was the highest among heterosexuals, relative to men who have sex with men (aPR, 1.16; 95% CI, 1.01-1.34). Hypertension and hypercholesterolemia most commonly co-occurred.&lt;h4>Conclusions&lt;/h4>Multimorbidity prevalence has increased among PLWH. Comorbidity prevention and multisubspecialty management of increasingly complex healthcare needs will be vital to ensuring that they receive needed care.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Apr</publication><modification>2025-04-26T18:15:13.558Z</modification><creation>2019-08-04T07:30:23Z</creation></dates><accession>S-EPMC5889007</accession><cross_references><pubmed>29149237</pubmed><doi>10.1093/cid/cix998</doi></cross_references></HashMap>