The shifting age distribution of people with HIV using antiretroviral therapy in the United States

被引:34
作者
Althoff, Keri N. [1 ]
Stewart, Cameron N. [1 ]
Humes, Elizabeth [1 ]
Zhang, Jinbing [1 ]
Gerace, Lucas [1 ]
Boyd, Cynthia M. [1 ,2 ]
Wong, Cherise [3 ]
Justice, Amy C. [4 ,5 ,6 ]
Gebo, Kelly A. [1 ,2 ]
Thorne, Jennifer E. [1 ,2 ]
Rubtsova, Anna A. [7 ]
Horberg, Michael A. [8 ]
Silverberg, Michael J. [9 ]
Leng, Sean X. [2 ]
Rebeiro, Peter F. [10 ,11 ,12 ]
Moore, Richard D. [2 ]
Buchacz, Kate [13 ]
Kasaie, Parastu [1 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 20193 USA
[2] Johns Hopkins Univ, Sch Med, Dept Med, Baltimore, MD 21205 USA
[3] Pfizer Inc, Worldwide Med & Safety, New York, NY USA
[4] Yale Sch Med, New Haven, CT USA
[5] Yale Sch Publ Hlth, New Haven, CT USA
[6] VA Connecticut Healthcare Syst, New Haven, CT USA
[7] Emory Univ, Dept Behav Social & Hlth Educ Sci, Rollins Sch Publ Hlth, Atlanta, GA USA
[8] Kaiser Permanente Midatlantic Permanente Res Inst, Rockville, MD USA
[9] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA
[10] Vanderbilt Univ, Dept Med, Div Infect Dis, Sch Med, Nashville, TN USA
[11] Vanderbilt Univ, Dept Med, Div Epidemiol, Sch Med, Nashville, TN USA
[12] Vanderbilt Univ, Dept Biostat, Sch Med, Nashville, TN USA
[13] Ctr Dis Control & Prevent, Div HIV Prevent, Atlanta, GA USA
基金
美国国家卫生研究院;
关键词
age distribution; ending the HIV epidemic; ethnicity; HIV; HIV acquisition risk; race; simulation model; NORTH-AMERICA; DISEASE; FUTURE; CARE; RISK;
D O I
10.1097/QAD.0000000000003128
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objective: To project the future age distribution of people with HIV using antiretroviral therapy (ART) in the United States, under expected trends in HIV diagnosis and survival (baseline scenario) and achieving the ending the HIV epidemic (EHE) goals of a 75% reduction in HIV diagnoses from 2020 to 2025 and sustaining levels to 2030 (EHE75% scenario). Design: An agent-based simulation model with mathematical functions estimated from North American AIDS Cohort Collaboration on Research and Design data and parameters from the US Centers for Disease Control and Prevention's annual HIV surveillance reports. Methods: The PEARL (ProjEcting Age, MultimoRbidity, and PoLypharmacy in adults with HIV) model simulated individuals in 15 subgroups of sex-and-HIV acquisition risk and race/ethnicity. Simulation outcomes from the baseline scenario are compared with outcomes from the EHE75% scenario. Results: Under the baseline scenario, PEARL projects a substantial increase in number of ART-users over time, reaching a population of 909 638 [95% uncertainty range (UR): 878 449-946 513] by 2030. The overall median age increased from 50 years in 2020 to 52 years in 2030, with 23% of ART-users age >= 65 years in 2030. Under the EHE75% scenario, the projected number of ART-users was 718 348 [703 044-737 817] (median age = 56 years) in 2030, with a 70% relative reduction in ART-users <30 years and a 4% relative reduction in ART-users age >= 65 years compared to baseline, and persistent heterogeneities in projected numbers by sex-and-HIV acquisition risk group and race/ethnicity. Conclusions: It is critical to prepare healthcare systems to meet the impending demand of the US population aging with HIV.
引用
收藏
页码:459 / 471
页数:13
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