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Trachunthong D, Tipayamongkholgul M, Chumseng S, Darasawang W, Bundhamcharoen K. Burden of metabolic syndrome in the global adult HIV-infected population: a systematic review and meta-analysis. BMC Public Health 2024; 24:2657. [PMID: 39342258 PMCID: PMC11438355 DOI: 10.1186/s12889-024-20118-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 09/17/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) elevates the risk of heart disease and stroke. In recent decades, the escalating prevalence of MetS among people living with HIV/AIDS (PLWHA) has garnered global attention. Despite MetS development being associated with both traditional and HIV-related factors, evidence from prior studies has shown variability across geographical regions. This study aimed to conduct a systematic review and meta-analysis of MetS burdens in adult PLWHA at the regional and global levels, focusing on the common effect size of HIV infection and antiretroviral therapy (ART) on MetS. METHODS This review followed the PRISMA 2020 guidelines. A comprehensive search and review of original articles related to MetS and HIV published in peer-reviewed journals between January 2000 and December 2023 were conducted. A random effects model was used to calculate the pooled prevalence/incidence of MetS and the common effect size of HIV infection and ART exposure on MetS. RESULTS A total of 102 studies from five continents comprising 78,700 HIV-infected participants were included. The overall pooled prevalence of MetS was 25.3%, 25.6% for PLWHA on ART, and 18.5% for those not receiving treatment. The pooled incidence of MetS, calculated from five studies, was 9.19 per 100 person-years. The highest pooled prevalence of MetS was observed in the Americas (30.4%), followed by the Southeast Asia/Western Pacific regions (26.7%). HIV-infected individuals had 1.6 times greater odds of having MetS than non-HIV-infected individuals did (pooled OR = 1.604; 95% CI 1.154-2.230), and ART exposure had 1.5 times greater odds of having MetS than nontreatment had (pooled OR = 1.504; 95% CI 1.217-1.859). CONCLUSIONS HIV infection and ART exposure contribute significantly to the increased burden of MetS. Regions with a high burden of HIV and MetS should prioritize awareness and integrated care plans for major noncommunicable diseases (NCDs), such as heart disease and stroke. The implementation of integrated care for HIV/AIDS patients and NCDs is essential for addressing the high burden of multimorbidity in PLWHA. REGISTRATION NUMBER INPLASY202290018.
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Affiliation(s)
- Deondara Trachunthong
- Department of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand
| | - Mathuros Tipayamongkholgul
- ASEAN Institute for Health Development, Mahidol University, 999 Phuttamontol Sai 4, Salaya, Phuttamontol, Nakhon Pathom, 73170, Thailand.
| | | | | | - Kanitta Bundhamcharoen
- International Health Policy Program (IHPP), Ministry of Public Health, Nonthaburi, Thailand
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Motta F, Milic J, Gozzi L, Belli M, Sighinolfi L, Cuomo G, Carli F, Dolci G, Iadisernia V, Burastero G, Mussini C, Missier P, Mandreoli F, Guaraldi G. A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living With HIV. J Acquir Immune Defic Syndr 2023; 94:474-481. [PMID: 37949448 DOI: 10.1097/qai.0000000000003302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 04/03/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION The objective of the study was to develop machine learning (ML) models that predict the percentage weight change in each interval of time in antiretroviral therapy-experienced people living with HIV. METHODS This was an observational study that comprised consecutive people living with HIV attending Modena HIV Metabolic Clinic with at least 2 visits. Data were partitioned in an 80/20 training/test set to generate 10 progressively parsimonious predictive ML models. Weight gain was defined as any weight change >5%, at the next visit. SHapley Additive exPlanations values were used to quantify the positive or negative impact of any single variable included in each model on the predicted weight changes. RESULTS A total of 3,321 patients generated 18,322 observations. At the last observation, the median age was 50 years and 69% patients were male. Model 1 (the only 1 including body composition assessed with dual-energy x-ray absorptiometry) had an accuracy greater than 90%. This model could predict weight at the next visit with an error of <5%. CONCLUSIONS ML models with the inclusion of body composition and metabolic and endocrinological variables had an excellent performance. The parsimonious models available in standard clinical evaluation are insufficient to obtain reliable prediction, but are good enough to predict who will not experience weight gain.
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Affiliation(s)
- Federico Motta
- Department of Surgical, Medical, Dental and Morphological Sciences, Modena, Italy
| | - Jovana Milic
- Department of Surgical, Medical, Dental and Morphological Sciences, Modena, Italy
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
| | - Licia Gozzi
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Michela Belli
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Laura Sighinolfi
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Gianluca Cuomo
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Federica Carli
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Giovanni Dolci
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Vittorio Iadisernia
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Giulia Burastero
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Cristina Mussini
- Department of Surgical, Medical, Dental and Morphological Sciences, Modena, Italy
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
| | - Paolo Missier
- School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom; and
| | - Federica Mandreoli
- Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giovanni Guaraldi
- Department of Surgical, Medical, Dental and Morphological Sciences, Modena, Italy
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena, Italy
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria Policlinico of Modena, Modena, Italy
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Relationship between weight gain and insulin resistance in people living with HIV switching to integrase strand transfer inhibitors-based regimens. AIDS 2022; 36:1643-1653. [PMID: 35727163 DOI: 10.1097/qad.0000000000003289] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The primary objective was to explore weight and BMI changes in people with HIV (PWH) undergoing integrase strand transfer inhibitors (INSTI)-based regimens (vs. non-INSTI) in a large cohort and in the subsets of individuals without diabetes and insulin resistance (IR) at the time of switch to INSTI. The secondary objective was to identify risk factors for IR and cut-off of weight or BMI increase associated with IR in PWH switching to INSTI. DESIGN A longitudinal matched-cohort study including PWH attending Modena HIV Metabolic Clinic, Italy. METHODS PWH were divided into two groups: non-INSTI and INSTI-switch. The effect of switching to INSTI on weight and BMI change was tested through a linear mixed model. A mediation analysis explored the mediation effect of weight and BMI change in the association between the switch to INSTI and IR. RESULTS We analyzed 2437 PWH (1025 INSTI-switch, 1412 non-INSTI), in 54 826 weight assessments. Trends for weight increase were significantly higher in early-INSTI-switch (vs. early-non-INSTI), but no difference was observed in the late period after the switch. In the subset of 634 PWH without IR, switching to INSTI (vs. non-INSTI) was associated with a lower risk of IR (hazard ratio = 0.70, 95% confidence interval: 0.51, 0.98). A weight increase by 1% reduced the total protective effect of INSTI by 21.1% over 1 year of follow-up, which identifies a 5% weight increase as a clinically meaningful weight gain definition. CONCLUSION A cut-off of 5% weight gain from the time of INSTI-switch is associated with IR, which may be a clinically meaningful endpoint that could be used in clinical and research settings.
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Montano M, Oursler KK, Xu K, Sun YV, Marconi VC. Biological ageing with HIV infection: evaluating the geroscience hypothesis. THE LANCET. HEALTHY LONGEVITY 2022; 3:e194-e205. [PMID: 36092375 PMCID: PMC9454292 DOI: 10.1016/s2666-7568(21)00278-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Although people with HIV are living longer, as they age they remain disproportionately burdened with multimorbidity that is exacerbated in resource-poor settings. The geroscience hypothesis postulates that a discrete set of between five and ten hallmarks of biological ageing drive multimorbidity, but these processes have not been systematically examined in the context of people with HIV. We examine four major hallmarks of ageing (macromolecular damage, senescence, inflammation, and stem-cell dysfunction) as gerodrivers in the context of people with HIV. As a counterbalance, we introduce healthy ageing, physiological reserve, intrinsic capacity, and resilience as promoters of geroprotection that counteract gerodrivers. We discuss emerging geroscience-based diagnostic biomarkers and therapeutic strategies, and provide examples based on recent advances in cellular senescence, and other, non-pharmacological approaches. Finally, we present a conceptual model of biological ageing in the general population and in people with HIV that integrates gerodrivers and geroprotectors as modulators of homoeostatic reserves and organ function over the lifecourse.
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Abstract
PURPOSE OF REVIEW Different factors contribute to the decreased overall long-term survival in treated people living with HIV (PLWH). This paper will review the state of physical frailty which limits successful aging in PLWH. RECENT FINDINGS Identifiable events on the continuum from clinical normality to heightened risk of adverse health outcomes contribute to frailty. These center on chronic inflammation leading to destabilization of autoregulated physiologic systems challenged by environmental and biologic challenges. Frailty assessment can inform the profile of aging PLWH at increased risk of common age-related disorders and geriatric syndromes. Biologic and psychosocial risk factors promoting progression to and reversion from a dynamic state of frailty are being investigated, allowing for preventative interventions to be considered. Insights gained from studying frail PLWH will help adapt an interdisciplinary geriatric model of health care for selected PLWH. This will improve the health and well-being of aging PLWH.
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Affiliation(s)
- Julian Falutz
- Division of Geriatrics, Director, Comprehensive HIV and Aging Initiative, McGill University Health Centre, Montreal, Quebec, Canada.
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