| Literature DB >> 26147987 |
Reuben Granich1, Somya Gupta1, Bradley Hersh2, Brian Williams3, Julio Montaner4, Benjamin Young1, José M Zuniga1.
Abstract
BACKGROUND: Antiretroviral therapy (ART) prevents human immunodeficiency virus (HIV) disease progression, mortality and transmission. We assess the impact of expanded HIV treatment for the prevention of Acquired Immunodeficiency Syndrome (AIDS)-related deaths and simulate four treatment scenarios for Nigeria and South Africa.Entities:
Mesh:
Year: 2015 PMID: 26147987 PMCID: PMC4493077 DOI: 10.1371/journal.pone.0131353
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Estimated deaths per 1000 people living with HIV for top 30 countries with the highest burden of estimated AIDS deaths, 2013.
| COUNTRY | AIDS-related deaths | No. placed on ART in 2013 | AIDS-related deaths to treatment ratio | New HIV infections (Uncertainty bound) | New HIV infections to treatment ratio | People on ART [coverage % (Uncertainty bound)] | PLHIV (Uncertainty bound) | AIDS-related deaths per 1000 PLHIV (Uncertainty bound) | ART eligibility criteria |
|---|---|---|---|---|---|---|---|---|---|
| Nigeria | 210,000 (190,000–240,000) | 148,376 | 1.41 | 220,000 (180,000–270,000) | 1.48 | 639,397 [20 (18–21)] | 3,200,000 (3,000,000–3,600,000) | 65 (63–68) | <350 |
| South Africa | 200,000 (170,000–220,000) | 472,391 | 0.41 | 340,000 (310,000–370,000) | 0.72 | 2,623,271 [42 (40–44)] | 6,300,000 (6,000,000–6,500,000) | 31 (29–33) | <500 |
| India | 130,000 (93,000–160,000) | 142,188 | 0.89 | 130,000 (80,000–250,000) | 0.91 | 747,175 [36 (28–45)] | 2,100,000 (1,700,000–2,700,000) | 61 (56–62) | <350 |
| Mozambique | 82,000 (70,000–98,000) | 187,604 | 0.44 | 120,000 (92,000–150,000) | 0.64 | 497,455 [32 (28–36)] | 1,600,000 (1,400,000–1,800,000) | 53 (50–55) | <350 |
| United Republic of Tanzania | 78,000 (69,000–90,000) | 81,660 | 0.96 | 72,000 (59,000–87,000) | 0.88 | 512,555 [37 (34–40)] | 1,400,000 (1,300,000–1,500,000) | 56 (53–59) | <500 |
| Zimbabwe | 64,000 (59,000–68,000) | 99,624 | 0.64 | 69,000 (61,000–78,000) | 0.69 | 665,299 [48 (46–50)] | 1,400,000 (1,300,000–1,400,000) | 46 (44–47) | <500 |
| Uganda | 63,000 (56,000–71,000) | 156,633 | 0.40 | 140,000 (120,000–160,000) | 0.89 | 595,175 [38 (36–40)] | 1,600,000 (1,500,000–1,700,000) | 40 (38–43) | <500 |
| Kenya | 58,000 (49,000–72,000) | 52,369 | 1.12 | 100,000 (79,000–130,000) | 1.91 | 656,369 [41 (38–45)] | 1,600,000 (1,500,000–1,700,000) | 37 (33–41) | <500 |
| Malawi | 48,000 (44,000–52,000) | 67,734 | 0.71 | 34,000 (28,000–41,000) | 0.50 | 472,865 [46 (44–49)] | 1,000,000 (970,000–1,100,000) | 47 (45–48) | <500 |
| Ethiopia | 45,000 (36,000–55,000) | 29,306 | 1.54 | 21,000 (15,000–32,000) | 0.72 | 317,443 [40 (36–44)] | 790,000 (720,000–890,000) | 57 (51–62) | <500 |
| Cameroon | 44,000 (40,000–48,000) | 8,811 | 4.95 | 47,000 (39,000–55,000) | 5.33 | 131,594 [22 (20–23)] | 600,000 (560,000–650,000) | 72 (70–75) | <500 |
| Democratic Republic of the Congo | 30,000 (24,000–38,000) | 15,759 | 1.91 | 34,000 (27,000–42,000) | 2.16 | 79,978 [18 (15–21)] | 440,000 (370,000–520,000) | 68 (64–73) | <500 |
| Indonesia | 29,000 (17,000–46,000) | 22,489 | 1.29 | 80,000 (49,000–170,000) | 3.56 | 54,144 [8 (5–13)] | 640,000 (420,000–1,000,000) | 45 (41–46) | <350 |
| Côte d'Ivoire | 28,000 (25,000–32,000) | 2,995 | 9.33 | 19,000 (12,000–26,000) | 6.34 | 112,920 [30 (27–34)] | 370,000 (330,000–410,000) | 75 (74–77) | <350 |
| Zambia | 27,000 (23,000–32,000) | 99,166 | 0.27 | 54,000 (46,000–64,000) | 0.54 | 580,091 [52 (49–55)] | 1,100,000 (1,100,000–1,200,000) | 24 (22–27) | <500 |
| Thailand | 18,000 (16,000–21,000) | 7,318 | 2.52 | 8,200 (4,000–17,000) | 1.12 | 246,049 [57 (52–62)] | 440,000 (400,000–470,000) | 42 (41–45) | HIV diagnosis |
| Lesotho | 16,000 (15,000–18,000) | 9,852 | 1.64 | 26,000 (23,000–30,000) | 2.64 | 101,635 [28 (26–29)] | 360,000 (350,000–380,000) | 44 (42–47) | <500 |
| Brazil | 16,000 (12,000–21,000) | NA | NA | 44,000 (35,000–58,000) | NA | NA | 730,000 (660,000–810,000) | 22 (18–26) | HIV diagnosis |
| Chad | 15,000 (12,000–18,000) | 5,632 | 2.60 | 12,000 (9,000–16,000) | 2.13 | 42,158 [21 (17–24)] | 210,000 (170,000–250,000) | 71 (68–74) | NA |
| Ukraine | 13,000 (10,000–18,000) | NA | NA | 8,600 (5,500–14,000) | NA | NA | 210,000 (180,000–250,000) | 64 (58–69) | <200 (<350 reported) |
| South Sudan | 13,000 (4,800–29,000) | 1,987 | 6.34 | 15,000 (4,800–39,000) | 7.55 | 6,899 [5 (2–12)] | 150,000 (59,000–350,000) | 82 (81–83) | <500 |
| Viet Nam | 12,000 (9,800–16,000) | 9,976 | 1.21 | 14,000 (11,000–21,000) | 1.40 | 82,687 [33 (30–36)] | 250,000 (230,000–280,000) | 49 (43–56) | <350 |
| Angola | 12,000 (6,000–18,000) | 15,491 | 0.74 | 28,000 (18,000–42,000) | 1.81 | 64,905 [26 (19–36)] | 250,000 (180,000–340,000) | 46 (35–52) | <350 (<500 reported) |
| Central African Republic | 11,000 (9,500–12,000) | (64) | 7,700 (6,200–9,400) | 16,568 [14 (12–16)] | 120,000 (110,000–130,000) | 91 (89–93) | NA (<500 reported) | ||
| Myanmar | 11,000 (8,600–12,000) | 13,934 | 0.75 | 6,700 (5,300–8,400) | 0.48 | 67,643 [35 (31–40)] | 190,000 (170,000–220,000) | 55 (51–57) | <500 |
| Ghana | 10,000 (5,000–18,000) | 5,892 | 1.71 | 7,800 (2,100–17,000) | 1.32 | 75,762 [34 (25–44)] | 220,000 (170,000–300,000) | 45 (29–59) | <350 (<500 reported) |
| Togo | 6,600 (2,400–15,000) | 4,178 | 1.59 | 3,900 (730–9,700) | 0.93 | 34,489 [30 (18–51)] | 110,000 (67,000–190,000) | 59 (35–75) | NA |
| Namibia | 6,600 (4,000–10,000) | 10,932 | 0.60 | 12,000 (8,600–16,000) | 1.10 | 126,779 [52 (43–61)] | 250,000 (210,000–290,000) | 27 (19–35) | <500 |
| Haiti | 6,400 (5,500–7,700) | 11,516 | 0.56 | 6,700 (5,400–8,300) | 0.58 | 54,745 [39 (36–43)] | 140,000 (130,000–150,000) | 46 (43–51) | <350 |
| Malaysia | 5,900 (4,100–8,900) | 2,285 | 2.58 | 8,000 (5,500–12,000) | 3.50 | 17,369 [20 (15–26)] | 86,000 (66,000–120,000) | 68 (63–77) | <350 |
|
| |||||||||
| Canada (2011) | 420 (370–530) | NA | NA | NA | NA | NA | 71,300 (58,600–84,000)1 | 5.9 (5–6.3) | <350 |
| France | 1,500 (1,100–1,800) | NA | NA | 6,900 (2,800–11,000) | NA | NA | NA | NA | HIV diagnosis |
| Germany (2012) | 420 (380–470) | NA | NA | NA | NA | NA | 78,000 (70,000–88,000) | 5.4 (5.3–5.4) | Consider >500 |
| Italy (2012) | NA (1,200–1,700) | NA | NA | NA | NA | NA | NA (110,000–140,000) | NA (11–12) | Consider >500 |
| The Netherlands (2012) | NA (<200-<200) | NA | NA | NA | NA | NA | NA (20,000–34,000) | NA (6–10) | HIV diagnosis |
| Spain | 800 (720–890) | NA | NA | 3,300 (2,200–4,300) | NA | 101,542 [68(63–78)] | 150,000 (130,000–160,000) | 5.4 (5.3–5.4) | HIV diagnosis |
| United Kingdom | 580 (460–750) | NA | NA | 6,800 (4,800–9,300) | NA | NA | 130,000 (100,000–160,000) | 4.6 (4.6–4.7) | <350 |
| United States of America (2011) | 20,000 (16,000–28,000) | NA | NA | 49,000 (17,000–110,000) | NA | NA | 1,300,000 (1,000,000–2,000,000) | 15 (14–16) | HIV diagnosis |
*The mortality estimate methodology is fully described elsewhere and takes into consideration parameters such as ART coverage. For example, HIV associated mortality in Mozambique also reflects injection drug user driven epidemic.
**ART coverage calculated using 2013 reported people on ART/people estimated to be living with HIV in 2013.
*** Published guidelines as of December 2014; WHO 2013 Guidelines recommend <500 CD4 cell count or irrespective of CD4 cell count for TB patients, pregnant women, children less than 5 years of age, HIV positive person in a serodiscordant couple and/or Hepatitis B.13 Number refers to CD4 cell count eligibility criteria for ART. HIV diagnosis signifies that treatment can be offered without requiring CD4 cell count and/or other diagnostic criteria for starting treatment (i.e., “test and treat”).
**** Estimates for deaths and people living with HIV for 2012 from UNAIDS Report on the Global AIDS Epidemic, 20132 and for 2011 from UNAIDS Report on the Global AIDS Epidemic, 2012 Other data from UNAIDS 2014 Gap Report3 and UNAIDS AIDSinfo data tool.18
1Public Health Agency of Canada. Summary: Estimates of HIV Prevalence and Incidence in Canada, 2011. Available from: http://www.phac-aspc.gc.ca/aids-sida/publication/survreport/estimat2011-eng.php.
2Ministry of Health, Social Services and Equality, Spain. UNAIDS Country Progress report 2014. Available from: http://www.unaids.org/en/dataanalysis/knowyourresponse/countryprogressreports/2014countries/ESP_narrative_report_2014.pdf.