Multimorbidity patterns in people with HIV. Issue 2 (March 2020)

• Record Type: Journal Article
• Authors: De Francesco, Davide; Sabin, Caroline A.; Reiss, Peter
• Is Part Of: Current opinion in HIV & AIDS. Volume 15:Issue 2(2020)
• Publication Date: 2020-03
• Subjects: comorbidity -- HIV -- multimorbidity -- multimorbidity patterns; AIDS (Disease) -- Periodicals; HIV infections -- Periodicals; HIV Infections -- Periodicals; Acquired Immunodeficiency Syndrome -- Periodicals; Infections à VIH -- Périodiques; Sida -- Périodiques; AIDS (Disease); HIV infections; Periodicals; 616.9792005
• DOI: 10.1097/COH.0000000000000595
• Languages: English
• ISSNs: 1746-630X

Abstract

Abstract : Purpose of review: With the progressive aging of populations of people with HIV (PWH), multimorbidity is increasing. Multimorbidity patterns, that is groups of comorbidities that are likely to co-occur, may suggest shared causes or common risk factors. We review the literature regarding multimorbidity patterns identified with data-driven approaches and discuss the methodology and potential implications of the findings. Recent findings: Despite the substantial heterogeneity in the methods used to identify multimorbidity patterns, patterns of mental health problems, cardiovascular diseases, metabolic disorders and musculoskeletal problems are consistently reported in the general population, with patterns of mental health problems, cardiovascular diseases or metabolic disorders commonly reported in PWH. In addition to these, patterns of lifestyle-related comorbidities, such as sexually transmitted diseases, substance use (alcohol, recreational drugs and tobacco smoking) or their complications, seem to occur among PWH. Summary: Multimorbidity patterns could inform the development of appropriate guidelines for the prevention, monitoring and management of multiple comorbidities in PWH. They can also help to generate new hypotheses on the causes underlying previously known and unknown associations between comorbidities and facilitate the identification of risk factors and biomarkers for specific patterns.