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      Changes of human immunodeficiency virus (HIV) burden globally and in China over three decades: a secondary analysis of global HIV statistics

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          Abstract

          Background:

          A more comprehensive understanding of the trends of incidence, prevalence, and mortality in human immunodeficiency virus (HIV), and their complex interrelationships, may provide important evidence for decision-making related to HIV prevention and control. The variances in these indices between different population groups, genders, and ages are critical to decipher evolving patterns of the HIV epidemic in specific populations.

          Methods:

          A secondary analysis of relevant data was conducted using data extracted from the Global Burden of Disease study of 2019. HIV/acquired immune deficiency syndrome (AIDS) incidence, prevalence, AIDS-related mortality, and mortality-to-prevalence ratio (MPR) for annual percentage change, average annual percentage change (AAPC), and corresponding 95% confidence intervals (CIs) were calculated using joinpoint regression statistical analysis.

          Results:

          The AAPC of HIV/AIDS incidence, prevalence, AIDS-related mortality rate, and MPR were –1.4 (95% CI: –1.6, –1.2), 4.1 (95% CI: 4.0, 4.3), 2.0 (95% CI: 1.7, 2.3), and –2.1 (95% CI: –2.3, –1.8) between 1990 and 2019 globally, and were 3.5 (95% CI: 2.2, 4.8), 6.9 (95% CI: 6.8, 7.0), 8.1 (95% CI: 7.1, 9.1), and 1.2 (95% CI: 0.1, 2.3) in China during the same period. In terms of differences in the preceding indicators by gender, we observed a similar pattern of trends for male and female genders both globally and in China during the entire study period. Each specific age group exhibits a distinct pattern in terms of incidence, prevalence, mortality rate, and MPR both globally and in China.

          Conclusions:

          Prevalence and mortality rates of HIV/AIDS have increased between 1990 and 2019 globally and in China. While the incidence rate and MPR have declined globally over the past three decades, these two indicators are observed to present an increasing trend in China. There is a high HIV burden among young and middle-aged adults globally; however, the elderly have a high HIV burden in China. HIV screening at older age should be scaled up, and patients with advanced HIV disease should be provided early with additional care and health resources.

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          Most cited references34

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          Permutation tests for joinpoint regression with applications to cancer rates

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            A Comprehensive Mapping of HIV-1 Genotypes in Various Risk Groups and Regions across China Based on a Nationwide Molecular Epidemiologic Survey

            Background China is experiencing a dynamic HIV/AIDS epidemic. While serology based surveillance systems have reported the spread of HIV/AIDS, detailed tracking of its transmission in populations and regions is not possible without mapping it at the molecular level. We therefore conducted a nationwide molecular epidemiology survey across the country. Methods HIV-1 genotypes were determined from 1,408 HIV-positive persons newly diagnosed in 2006. The prevalence of each genotype was estimated by weighting the genotype’s prevalence from each province- and risk-specific subpopulation with the number of reported cases in the corresponding subgroups in that year. Results CRF07_BC (35.5%), CRF01_AE (27.6%), CRF08_BC (20.1%), and subtype B' (9.6%) were the four main HIV-1 strains in China. CRF07_BC and CRF08_BC were the primary drivers of infection among injecting drug users in northeastern and southeastern China, respectively, and subtype B' remained dominant among former plasma donors in central China. In contrast, all four strains occurred in significant proportions among heterosexuals nationwide, pointing to an expansion of the HIV-1 epidemic from high-risk populations into the general population. CRF01_AE also replaced subtype B as the principal driver of infection among men-who-have-sex-with-men. Conclusions Our study provides the first comprehensive baseline data on the diversity and characteristics of HIV/AIDS epidemic in China, reflecting unique region- and risk group-specific transmission dynamics. The results provide information critical for designing effective prevention measures against HIV transmission.
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              Can the UNAIDS 90-90-90 target be achieved? A systematic analysis of national HIV treatment cascades

              Background In 2014, the Joint United Nations Programme on HIV and AIDS (UNAIDS) and partners set the ‘90-90-90 targets’; aiming to diagnose 90% of all HIV positive people, provide antiretroviral therapy (ART) for 90% of those diagnosed and achieve viral suppression for 90% of those treated, by 2020. This results in 81% of all HIV positive people on treatment and 73% of all HIV positive people achieving viral suppression. We aimed to analyse how effective national HIV treatment programmes are at meeting these targets, using HIV care continuums or cascades. Methods We searched for HIV treatment cascades for 196 countries in published papers, conference presentations, UNAIDS databases and national reports. Cascades were constructed using reliable, generalisable, recent data from national, cross-sectional and longitudinal study cohorts. Data were collected for four stages; total HIV positive people, diagnosed, on treatment and virally suppressed. The cascades were categorised as complete (four stages) or partial (3 stages), and analysed for ‘break points’ defined as a drop >10% in coverage between consecutive 90-90-90 targets. Results 69 country cascades were analysed (32 complete, 37 partial). Diagnosis (target one—90%) ranged from 87% (the Netherlands) to 11% (Yemen). Treatment coverage (target two—81% on ART) ranged from 71% (Switzerland) to 3% (Afghanistan). Viral suppression (target three—73% virally suppressed) was between 68% (Switzerland) and 7% (China). Conclusions No country analysed met the 90-90-90 targets. Diagnosis was the greatest break point globally, but the most frequent key break point for individual countries was providing ART to those diagnosed. Large disparities were identified between countries. Without commitment to standardised reporting methodologies, international comparisons are complex.
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                Author and article information

                Journal
                Chin Med J (Engl)
                Chin Med J (Engl)
                CM9
                Chinese Medical Journal
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0366-6999
                2542-5641
                20 November 2022
                27 December 2022
                : 135
                : 22
                : 2690-2698
                Affiliations
                [1 ]Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing 400036, China
                [2 ]Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China.
                Author notes
                Correspondence to: Dr. Yaokai Chen, Department of Infectious Diseases, Chongqing Public Health Medical Center, 109 Baoyu Road, Shapingba District Chongqing 400036, China E-Mail: yaokaichen@ 123456hotmail.com
                Article
                CMJ-2022-1918
                10.1097/CM9.0000000000002500
                9945378
                36719358
                a439cd57-726a-4efe-92bf-74e7bab9080d
                Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

                History
                : 12 July 2022
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                human immunodeficiency virus,incidence,mortality,mortality-to-prevalence ratio,prevalence

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