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HIV-associated mortality in the era of antiretroviral therapy scale-up - Nairobi, Kenya, 2015
Declines in HIV prevalence and increases in antiretroviral treatment coverage have been documented in Kenya, but population-level mortality associated with HIV has not been directly measured. In urban areas where a majority of deaths pass through mortuaries, mortuary-based studies have the potential...
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Published in: | PloS one 2017-08, Vol.12 (8), p.e0181837-e0181837 |
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creator | Young, Peter W Kim, Andrea A Wamicwe, Joyce Nyagah, Lilly Kiama, Catherine Stover, John Oduor, Johansen Rogena, Emily A Walong, Edwin Zielinski-Gutierrez, Emily Imbwaga, Andrew Sirengo, Martin Kellogg, Timothy A De Cock, Kevin M |
description | Declines in HIV prevalence and increases in antiretroviral treatment coverage have been documented in Kenya, but population-level mortality associated with HIV has not been directly measured. In urban areas where a majority of deaths pass through mortuaries, mortuary-based studies have the potential to contribute to our understanding of excess mortality among HIV-infected persons. We used results from a cross-sectional mortuary-based HIV surveillance study to estimate the association between HIV and mortality for Nairobi, the capital city of Kenya.
HIV seropositivity in cadavers measured at the two largest mortuaries in Nairobi was used to estimate HIV prevalence in adult deaths. Model-based estimates of the HIV-infected and uninfected population for Nairobi were used to calculate a standardized mortality ratio and population-attributable fraction for mortality among the infected versus uninfected population. Monte Carlo simulation was used to assess sensitivity to epidemiological assumptions. When standardized to the age and sex distribution of expected deaths, the estimated HIV positivity among adult deaths aged 15 years and above in Nairobi was 20.9% (95% CI 17.7-24.6%). The standardized mortality ratio of deaths among HIV-infected versus uninfected adults was 4.35 (95% CI 3.67-5.15), while the risk difference was 0.016 (95% CI 0.013-0.019). The HIV population attributable mortality fraction was 0.161 (95% CI 0.131-0.190). Sensitivity analyses demonstrated robustness of results.
Although 73.6% of adult PLHIV receive antiretrovirals in Nairobi, their risk of death is four-fold greater than in the uninfected, while 16.1% of all adult deaths in the city can be attributed to HIV infection. In order to further reduce HIV-associated mortality, high-burden countries may need to reach very high levels of diagnosis, treatment coverage, retention in care, and viral suppression. |
doi_str_mv | 10.1371/journal.pone.0181837 |
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HIV seropositivity in cadavers measured at the two largest mortuaries in Nairobi was used to estimate HIV prevalence in adult deaths. Model-based estimates of the HIV-infected and uninfected population for Nairobi were used to calculate a standardized mortality ratio and population-attributable fraction for mortality among the infected versus uninfected population. Monte Carlo simulation was used to assess sensitivity to epidemiological assumptions. When standardized to the age and sex distribution of expected deaths, the estimated HIV positivity among adult deaths aged 15 years and above in Nairobi was 20.9% (95% CI 17.7-24.6%). The standardized mortality ratio of deaths among HIV-infected versus uninfected adults was 4.35 (95% CI 3.67-5.15), while the risk difference was 0.016 (95% CI 0.013-0.019). The HIV population attributable mortality fraction was 0.161 (95% CI 0.131-0.190). Sensitivity analyses demonstrated robustness of results.
Although 73.6% of adult PLHIV receive antiretrovirals in Nairobi, their risk of death is four-fold greater than in the uninfected, while 16.1% of all adult deaths in the city can be attributed to HIV infection. In order to further reduce HIV-associated mortality, high-burden countries may need to reach very high levels of diagnosis, treatment coverage, retention in care, and viral suppression.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0181837</identifier><identifier>PMID: 28767714</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Adolescent ; Adult ; Adults ; Age composition ; Aged ; AIDS ; Anti-Retroviral Agents - therapeutic use ; Antiretroviral agents ; Antiretroviral drugs ; Antiretroviral therapy ; Antiviral agents ; Biology and Life Sciences ; Cadaver ; Cadavers ; Computer simulation ; Cross-Sectional Studies ; Disease control ; Epidemiology ; Fatalities ; Female ; Forecasts and trends ; HIV ; HIV infections ; HIV Infections - drug therapy ; HIV Infections - epidemiology ; HIV Infections - mortality ; Human immunodeficiency virus ; Humans ; Infections ; Kenya ; Kenya - epidemiology ; Male ; Medicine and Health Sciences ; Middle Aged ; Monte Carlo simulation ; Mortality ; Mortuaries ; Patient outcomes ; People and Places ; Physical sciences ; Population Surveillance ; Research and analysis methods ; Sensitivity ; Sensitivity analysis ; Sexually transmitted diseases ; Simulation ; STD ; Urban areas ; Young Adult</subject><ispartof>PloS one, 2017-08, Vol.12 (8), p.e0181837-e0181837</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-e6979182747dfbc78f7b5e7c64964742b37254802639a204d130a4f16a39c73f3</citedby><cites>FETCH-LOGICAL-c692t-e6979182747dfbc78f7b5e7c64964742b37254802639a204d130a4f16a39c73f3</cites><orcidid>0000-0003-1579-1880 ; 0000-0001-7236-1989 ; 0000-0002-7432-2876</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1926447838/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1926447838?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28767714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wilkinson, Katalin Andrea</contributor><creatorcontrib>Young, Peter W</creatorcontrib><creatorcontrib>Kim, Andrea A</creatorcontrib><creatorcontrib>Wamicwe, Joyce</creatorcontrib><creatorcontrib>Nyagah, Lilly</creatorcontrib><creatorcontrib>Kiama, Catherine</creatorcontrib><creatorcontrib>Stover, John</creatorcontrib><creatorcontrib>Oduor, Johansen</creatorcontrib><creatorcontrib>Rogena, Emily A</creatorcontrib><creatorcontrib>Walong, Edwin</creatorcontrib><creatorcontrib>Zielinski-Gutierrez, Emily</creatorcontrib><creatorcontrib>Imbwaga, Andrew</creatorcontrib><creatorcontrib>Sirengo, Martin</creatorcontrib><creatorcontrib>Kellogg, Timothy A</creatorcontrib><creatorcontrib>De Cock, Kevin M</creatorcontrib><title>HIV-associated mortality in the era of antiretroviral therapy scale-up - Nairobi, Kenya, 2015</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Declines in HIV prevalence and increases in antiretroviral treatment coverage have been documented in Kenya, but population-level mortality associated with HIV has not been directly measured. In urban areas where a majority of deaths pass through mortuaries, mortuary-based studies have the potential to contribute to our understanding of excess mortality among HIV-infected persons. We used results from a cross-sectional mortuary-based HIV surveillance study to estimate the association between HIV and mortality for Nairobi, the capital city of Kenya.
HIV seropositivity in cadavers measured at the two largest mortuaries in Nairobi was used to estimate HIV prevalence in adult deaths. Model-based estimates of the HIV-infected and uninfected population for Nairobi were used to calculate a standardized mortality ratio and population-attributable fraction for mortality among the infected versus uninfected population. Monte Carlo simulation was used to assess sensitivity to epidemiological assumptions. When standardized to the age and sex distribution of expected deaths, the estimated HIV positivity among adult deaths aged 15 years and above in Nairobi was 20.9% (95% CI 17.7-24.6%). The standardized mortality ratio of deaths among HIV-infected versus uninfected adults was 4.35 (95% CI 3.67-5.15), while the risk difference was 0.016 (95% CI 0.013-0.019). The HIV population attributable mortality fraction was 0.161 (95% CI 0.131-0.190). Sensitivity analyses demonstrated robustness of results.
Although 73.6% of adult PLHIV receive antiretrovirals in Nairobi, their risk of death is four-fold greater than in the uninfected, while 16.1% of all adult deaths in the city can be attributed to HIV infection. In order to further reduce HIV-associated mortality, high-burden countries may need to reach very high levels of diagnosis, treatment coverage, retention in care, and viral suppression.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Age composition</subject><subject>Aged</subject><subject>AIDS</subject><subject>Anti-Retroviral Agents - therapeutic use</subject><subject>Antiretroviral agents</subject><subject>Antiretroviral drugs</subject><subject>Antiretroviral therapy</subject><subject>Antiviral agents</subject><subject>Biology and Life Sciences</subject><subject>Cadaver</subject><subject>Cadavers</subject><subject>Computer simulation</subject><subject>Cross-Sectional Studies</subject><subject>Disease control</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>HIV</subject><subject>HIV infections</subject><subject>HIV Infections - drug therapy</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - mortality</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infections</subject><subject>Kenya</subject><subject>Kenya - epidemiology</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Monte Carlo simulation</subject><subject>Mortality</subject><subject>Mortuaries</subject><subject>Patient outcomes</subject><subject>People and Places</subject><subject>Physical sciences</subject><subject>Population Surveillance</subject><subject>Research and analysis methods</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Sexually transmitted diseases</subject><subject>Simulation</subject><subject>STD</subject><subject>Urban areas</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11rFDEUhgdRbK3-A9GBgih01nwncyOUonaxWPCjdxIymcxuSnayJpni_nuz3WnZkV6YXCQkz3lP8ianKF5CMIOYw_fXfgi9crO1780MQAEF5o-KQ1hjVDEE8OO9-UHxLMZrACgWjD0tDpDgjHNIDotf5_OrSsXotVXJtOXKh6ScTZvS9mVamtIEVfquVH2ywaTgb2xQbrsT1HpTRq2cqYZ1WZVflQ2-sSflF9Nv1EmJAKTPiyedctG8GMej4uenjz_OzquLy8_zs9OLSrMapcqwmtdQIE542zWai4431HDNSM0IJ6jBHFEiAGK4VgiQFmKgSAeZwrXmuMNHxeud7tr5KEdnooQ1YoRwgUUm5jui9eparoNdqbCRXll5u-DDQqqQrHZGAo4RQ4QykR1CDa8RahVtW4xIR5mGWevDmG1oVqbVpk_Zk4nodKe3S7nwN5JSAqjgWeDtKBD878HEJFc2auOc6o0fbs9NRW6cZvT4H_Th243UIj-HtH3nc169FZWnpK45owJszz17gMq9NSur8zfqbF6fBLybBGQmmT9poYYY5fz7t_9nL6-m7Js9dmmUS8vo3ZCs7-MUJDtQBx9jMN29yRDIbRXcuSG3VSDHKshhr_Yf6D7o7tvjv0Jx_hw</recordid><startdate>20170802</startdate><enddate>20170802</enddate><creator>Young, Peter W</creator><creator>Kim, Andrea A</creator><creator>Wamicwe, Joyce</creator><creator>Nyagah, Lilly</creator><creator>Kiama, Catherine</creator><creator>Stover, John</creator><creator>Oduor, Johansen</creator><creator>Rogena, Emily A</creator><creator>Walong, Edwin</creator><creator>Zielinski-Gutierrez, Emily</creator><creator>Imbwaga, Andrew</creator><creator>Sirengo, Martin</creator><creator>Kellogg, Timothy A</creator><creator>De Cock, Kevin M</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1579-1880</orcidid><orcidid>https://orcid.org/0000-0001-7236-1989</orcidid><orcidid>https://orcid.org/0000-0002-7432-2876</orcidid></search><sort><creationdate>20170802</creationdate><title>HIV-associated mortality in the era of antiretroviral therapy scale-up - Nairobi, Kenya, 2015</title><author>Young, Peter W ; Kim, Andrea A ; Wamicwe, Joyce ; Nyagah, Lilly ; Kiama, Catherine ; Stover, John ; Oduor, Johansen ; Rogena, Emily A ; Walong, Edwin ; Zielinski-Gutierrez, Emily ; Imbwaga, Andrew ; Sirengo, Martin ; Kellogg, Timothy A ; De Cock, Kevin M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-e6979182747dfbc78f7b5e7c64964742b37254802639a204d130a4f16a39c73f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Age composition</topic><topic>Aged</topic><topic>AIDS</topic><topic>Anti-Retroviral Agents - therapeutic use</topic><topic>Antiretroviral agents</topic><topic>Antiretroviral drugs</topic><topic>Antiretroviral therapy</topic><topic>Antiviral agents</topic><topic>Biology and Life Sciences</topic><topic>Cadaver</topic><topic>Cadavers</topic><topic>Computer simulation</topic><topic>Cross-Sectional Studies</topic><topic>Disease control</topic><topic>Epidemiology</topic><topic>Fatalities</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>HIV</topic><topic>HIV infections</topic><topic>HIV Infections - drug therapy</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - mortality</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Infections</topic><topic>Kenya</topic><topic>Kenya - epidemiology</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Monte Carlo simulation</topic><topic>Mortality</topic><topic>Mortuaries</topic><topic>Patient outcomes</topic><topic>People and Places</topic><topic>Physical sciences</topic><topic>Population Surveillance</topic><topic>Research and analysis methods</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Sexually transmitted diseases</topic><topic>Simulation</topic><topic>STD</topic><topic>Urban areas</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Young, Peter W</creatorcontrib><creatorcontrib>Kim, Andrea A</creatorcontrib><creatorcontrib>Wamicwe, Joyce</creatorcontrib><creatorcontrib>Nyagah, Lilly</creatorcontrib><creatorcontrib>Kiama, Catherine</creatorcontrib><creatorcontrib>Stover, John</creatorcontrib><creatorcontrib>Oduor, Johansen</creatorcontrib><creatorcontrib>Rogena, Emily A</creatorcontrib><creatorcontrib>Walong, Edwin</creatorcontrib><creatorcontrib>Zielinski-Gutierrez, Emily</creatorcontrib><creatorcontrib>Imbwaga, Andrew</creatorcontrib><creatorcontrib>Sirengo, Martin</creatorcontrib><creatorcontrib>Kellogg, Timothy A</creatorcontrib><creatorcontrib>De Cock, Kevin M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals (Open Access)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Young, Peter W</au><au>Kim, Andrea A</au><au>Wamicwe, Joyce</au><au>Nyagah, Lilly</au><au>Kiama, Catherine</au><au>Stover, John</au><au>Oduor, Johansen</au><au>Rogena, Emily A</au><au>Walong, Edwin</au><au>Zielinski-Gutierrez, Emily</au><au>Imbwaga, Andrew</au><au>Sirengo, Martin</au><au>Kellogg, Timothy A</au><au>De Cock, Kevin M</au><au>Wilkinson, Katalin Andrea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HIV-associated mortality in the era of antiretroviral therapy scale-up - Nairobi, Kenya, 2015</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-08-02</date><risdate>2017</risdate><volume>12</volume><issue>8</issue><spage>e0181837</spage><epage>e0181837</epage><pages>e0181837-e0181837</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Declines in HIV prevalence and increases in antiretroviral treatment coverage have been documented in Kenya, but population-level mortality associated with HIV has not been directly measured. In urban areas where a majority of deaths pass through mortuaries, mortuary-based studies have the potential to contribute to our understanding of excess mortality among HIV-infected persons. We used results from a cross-sectional mortuary-based HIV surveillance study to estimate the association between HIV and mortality for Nairobi, the capital city of Kenya.
HIV seropositivity in cadavers measured at the two largest mortuaries in Nairobi was used to estimate HIV prevalence in adult deaths. Model-based estimates of the HIV-infected and uninfected population for Nairobi were used to calculate a standardized mortality ratio and population-attributable fraction for mortality among the infected versus uninfected population. Monte Carlo simulation was used to assess sensitivity to epidemiological assumptions. When standardized to the age and sex distribution of expected deaths, the estimated HIV positivity among adult deaths aged 15 years and above in Nairobi was 20.9% (95% CI 17.7-24.6%). The standardized mortality ratio of deaths among HIV-infected versus uninfected adults was 4.35 (95% CI 3.67-5.15), while the risk difference was 0.016 (95% CI 0.013-0.019). The HIV population attributable mortality fraction was 0.161 (95% CI 0.131-0.190). Sensitivity analyses demonstrated robustness of results.
Although 73.6% of adult PLHIV receive antiretrovirals in Nairobi, their risk of death is four-fold greater than in the uninfected, while 16.1% of all adult deaths in the city can be attributed to HIV infection. In order to further reduce HIV-associated mortality, high-burden countries may need to reach very high levels of diagnosis, treatment coverage, retention in care, and viral suppression.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28767714</pmid><doi>10.1371/journal.pone.0181837</doi><tpages>e0181837</tpages><orcidid>https://orcid.org/0000-0003-1579-1880</orcidid><orcidid>https://orcid.org/0000-0001-7236-1989</orcidid><orcidid>https://orcid.org/0000-0002-7432-2876</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-08, Vol.12 (8), p.e0181837-e0181837 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1926447838 |
source | PubMed Central (Open Access); Publicly Available Content Database |
subjects | Acquired immune deficiency syndrome Adolescent Adult Adults Age composition Aged AIDS Anti-Retroviral Agents - therapeutic use Antiretroviral agents Antiretroviral drugs Antiretroviral therapy Antiviral agents Biology and Life Sciences Cadaver Cadavers Computer simulation Cross-Sectional Studies Disease control Epidemiology Fatalities Female Forecasts and trends HIV HIV infections HIV Infections - drug therapy HIV Infections - epidemiology HIV Infections - mortality Human immunodeficiency virus Humans Infections Kenya Kenya - epidemiology Male Medicine and Health Sciences Middle Aged Monte Carlo simulation Mortality Mortuaries Patient outcomes People and Places Physical sciences Population Surveillance Research and analysis methods Sensitivity Sensitivity analysis Sexually transmitted diseases Simulation STD Urban areas Young Adult |
title | HIV-associated mortality in the era of antiretroviral therapy scale-up - Nairobi, Kenya, 2015 |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T01%3A59%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=HIV-associated%20mortality%20in%20the%20era%20of%20antiretroviral%20therapy%20scale-up%20-%20Nairobi,%20Kenya,%202015&rft.jtitle=PloS%20one&rft.au=Young,%20Peter%20W&rft.date=2017-08-02&rft.volume=12&rft.issue=8&rft.spage=e0181837&rft.epage=e0181837&rft.pages=e0181837-e0181837&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0181837&rft_dat=%3Cgale_plos_%3EA499765801%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-e6979182747dfbc78f7b5e7c64964742b37254802639a204d130a4f16a39c73f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1926447838&rft_id=info:pmid/28767714&rft_galeid=A499765801&rfr_iscdi=true |