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Incidence and risk factors for hypertension among HIV patients in rural Tanzania - A prospective cohort study
Scarce data are available on the epidemiology of hypertension among HIV patients in rural sub-Saharan Africa. We explored the prevalence, incidence and risk factors for incident hypertension among patients who were enrolled in a rural HIV cohort in Tanzania. Prospective longitudinal study including...
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Published in: | PloS one 2017-03, Vol.12 (3), p.e0172089 |
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description | Scarce data are available on the epidemiology of hypertension among HIV patients in rural sub-Saharan Africa. We explored the prevalence, incidence and risk factors for incident hypertension among patients who were enrolled in a rural HIV cohort in Tanzania.
Prospective longitudinal study including HIV patients enrolled in the Kilombero and Ulanga Antiretroviral Cohort between 2013 and 2015. Non-ART naïve subjects at baseline and pregnant women during follow-up were excluded from the analysis. Incident hypertension was defined as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg on two consecutive visits. Cox proportional hazards models were used to assess the association of baseline characteristics and incident hypertension.
Among 955 ART-naïve, eligible subjects, 111 (11.6%) were hypertensive at recruitment. Ten women were excluded due to pregnancy. The remaining 834 individuals contributed 7967 person-months to follow-up (median 231 days, IQR 119-421) and 80 (9.6%) of them developed hypertension during a median follow-up of 144 days from time of enrolment into the cohort [incidence rate 120.0 cases/1000 person-years, 95% confidence interval (CI) 97.2-150.0]. ART was started in 630 (75.5%) patients, with a median follow-up on ART of 7 months (IQR 4-14). Cox regression models identified age [adjusted hazard ratio (aHR) 1.34 per 10 years increase, 95% CI 1.07-1.68, p = 0.010], body mass index (aHR per 5 kg/m2 1.45, 95% CI 1.07-1.99, p = 0.018) and estimated glomerular filtration rate (aHR < 60 versus ≥ 60 ml/min/1.73 m2 3.79, 95% CI 1.60-8.99, p = 0.003) as independent risk factors for hypertension development.
The prevalence and incidence of hypertension were high in our cohort. Traditional cardiovascular risk factors predicted incident hypertension, but no association was observed with immunological or ART status. These data support the implementation of routine hypertension screening and integrated management into HIV programmes in rural sub-Saharan Africa. |
doi_str_mv | 10.1371/journal.pone.0172089 |
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Prospective longitudinal study including HIV patients enrolled in the Kilombero and Ulanga Antiretroviral Cohort between 2013 and 2015. Non-ART naïve subjects at baseline and pregnant women during follow-up were excluded from the analysis. Incident hypertension was defined as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg on two consecutive visits. Cox proportional hazards models were used to assess the association of baseline characteristics and incident hypertension.
Among 955 ART-naïve, eligible subjects, 111 (11.6%) were hypertensive at recruitment. Ten women were excluded due to pregnancy. The remaining 834 individuals contributed 7967 person-months to follow-up (median 231 days, IQR 119-421) and 80 (9.6%) of them developed hypertension during a median follow-up of 144 days from time of enrolment into the cohort [incidence rate 120.0 cases/1000 person-years, 95% confidence interval (CI) 97.2-150.0]. ART was started in 630 (75.5%) patients, with a median follow-up on ART of 7 months (IQR 4-14). Cox regression models identified age [adjusted hazard ratio (aHR) 1.34 per 10 years increase, 95% CI 1.07-1.68, p = 0.010], body mass index (aHR per 5 kg/m2 1.45, 95% CI 1.07-1.99, p = 0.018) and estimated glomerular filtration rate (aHR < 60 versus ≥ 60 ml/min/1.73 m2 3.79, 95% CI 1.60-8.99, p = 0.003) as independent risk factors for hypertension development.
The prevalence and incidence of hypertension were high in our cohort. Traditional cardiovascular risk factors predicted incident hypertension, but no association was observed with immunological or ART status. These data support the implementation of routine hypertension screening and integrated management into HIV programmes in rural sub-Saharan Africa.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0172089</identifier><identifier>PMID: 28273105</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Adolescent ; Adult ; AIDS ; Analysis ; Anti-Retroviral Agents - therapeutic use ; Antiretroviral agents ; Antiretroviral drugs ; Biology and Life Sciences ; Blood ; Blood pressure ; Body mass ; Body Mass Index ; Body size ; Cardiovascular diseases ; Care and treatment ; Cohort analysis ; Cohort Studies ; Confidence intervals ; Correlation analysis ; Epidemiology ; Female ; Glomerular Filtration Rate ; Hazard assessment ; Health aspects ; Health risks ; Health screening ; Hipertensió ; HIV ; HIV (Viruses) ; HIV Infections - complications ; HIV Infections - drug therapy ; HIV Infections - mortality ; HIV Infections - pathology ; HIV patients ; Human immunodeficiency virus ; Humans ; Hypertension ; Hypertension - complications ; Hypertension - diagnosis ; Hypertension - epidemiology ; Immunology ; Incidence ; Kaplan-Meier Estimate ; Lentivirus ; Longitudinal Studies ; Male ; Medical diagnosis ; Medicine and Health Sciences ; Middle Aged ; Obesity ; Patients ; Pregnancy ; Pregnant women ; Proportional Hazards Models ; Prospective Studies ; Regression analysis ; Regression models ; Retroviridae ; Risk analysis ; Risk Factors ; Rural Population ; Statistical analysis ; Statistical models ; Tanzania - epidemiology ; VIH (Virus) ; Young Adult</subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0172089</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Rodríguez-Arbolí et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>cc by (c) Rodríguez Arbolí, 2017 info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/3.0/es/">http://creativecommons.org/licenses/by/3.0/es/</a></rights><rights>2017 Rodríguez-Arbolí et al 2017 Rodríguez-Arbolí et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c767t-87ccce8715a6ef5a578dd1352f39df1afff4deec1995923432a9adf32ca0b5973</citedby><cites>FETCH-LOGICAL-c767t-87ccce8715a6ef5a578dd1352f39df1afff4deec1995923432a9adf32ca0b5973</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1875378489/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1875378489?pq-origsite=primo$$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/28273105$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Verhasselt, Bruno</contributor><creatorcontrib>Rodríguez-Arbolí, Eduardo</creatorcontrib><creatorcontrib>Mwamelo, Kim</creatorcontrib><creatorcontrib>Kalinjuma, Aneth Vedastus</creatorcontrib><creatorcontrib>Furrer, Hansjakob</creatorcontrib><creatorcontrib>Hatz, Christoph</creatorcontrib><creatorcontrib>Tanner, Marcel</creatorcontrib><creatorcontrib>Battegay, Manuel</creatorcontrib><creatorcontrib>Letang, Emilio</creatorcontrib><creatorcontrib>KIULARCO Study Group</creatorcontrib><creatorcontrib>on behalf of the KIULARCO Study Group</creatorcontrib><title>Incidence and risk factors for hypertension among HIV patients in rural Tanzania - A prospective cohort study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Scarce data are available on the epidemiology of hypertension among HIV patients in rural sub-Saharan Africa. We explored the prevalence, incidence and risk factors for incident hypertension among patients who were enrolled in a rural HIV cohort in Tanzania.
Prospective longitudinal study including HIV patients enrolled in the Kilombero and Ulanga Antiretroviral Cohort between 2013 and 2015. Non-ART naïve subjects at baseline and pregnant women during follow-up were excluded from the analysis. Incident hypertension was defined as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg on two consecutive visits. Cox proportional hazards models were used to assess the association of baseline characteristics and incident hypertension.
Among 955 ART-naïve, eligible subjects, 111 (11.6%) were hypertensive at recruitment. Ten women were excluded due to pregnancy. The remaining 834 individuals contributed 7967 person-months to follow-up (median 231 days, IQR 119-421) and 80 (9.6%) of them developed hypertension during a median follow-up of 144 days from time of enrolment into the cohort [incidence rate 120.0 cases/1000 person-years, 95% confidence interval (CI) 97.2-150.0]. ART was started in 630 (75.5%) patients, with a median follow-up on ART of 7 months (IQR 4-14). Cox regression models identified age [adjusted hazard ratio (aHR) 1.34 per 10 years increase, 95% CI 1.07-1.68, p = 0.010], body mass index (aHR per 5 kg/m2 1.45, 95% CI 1.07-1.99, p = 0.018) and estimated glomerular filtration rate (aHR < 60 versus ≥ 60 ml/min/1.73 m2 3.79, 95% CI 1.60-8.99, p = 0.003) as independent risk factors for hypertension development.
The prevalence and incidence of hypertension were high in our cohort. Traditional cardiovascular risk factors predicted incident hypertension, but no association was observed with immunological or ART status. These data support the implementation of routine hypertension screening and integrated management into HIV programmes in rural sub-Saharan Africa.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adolescent</subject><subject>Adult</subject><subject>AIDS</subject><subject>Analysis</subject><subject>Anti-Retroviral Agents - therapeutic use</subject><subject>Antiretroviral agents</subject><subject>Antiretroviral drugs</subject><subject>Biology and Life Sciences</subject><subject>Blood</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Correlation analysis</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Hazard assessment</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Health screening</subject><subject>Hipertensió</subject><subject>HIV</subject><subject>HIV (Viruses)</subject><subject>HIV Infections - complications</subject><subject>HIV Infections - drug therapy</subject><subject>HIV Infections - mortality</subject><subject>HIV Infections - pathology</subject><subject>HIV patients</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - complications</subject><subject>Hypertension - diagnosis</subject><subject>Hypertension - epidemiology</subject><subject>Immunology</subject><subject>Incidence</subject><subject>Kaplan-Meier Estimate</subject><subject>Lentivirus</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Patients</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Retroviridae</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Rural Population</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Tanzania - epidemiology</subject><subject>VIH (Virus)</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>eNqNk1FrFDEQxxdRbK1-A9GAIPpw5ybZbJIX4ShqDwoFrX0N02xyl7qXrEm2WD-9uXZbetKHsiy7m_3NP5n_zFTVa1zPMeX400UYo4d-PgRv5jXmpBbySbWPJSWzltT06b33vepFShd1zaho2-fVHhGEU1yz_Wqz9Np1xmuDwHcouvQLWdA5xIRsiGh9NZiYjU8ueASb4FfoaHmGBsjO-JyQ8yiOEXp0Cv4veAdohhZoiCENRmd3aZAO6xAzSnnsrl5Wzyz0ybyangfVz69fTg-PZscn35aHi-OZ5i3PM8G11kZwzKA1lgHjouswZcRS2VkM1tqmM0ZjKZkktKEEJHSWEg31OZOcHlRvb3SHPiQ1OZUUFpxRLhohC7G8IboAF2qIbgPxSgVw6nohxJWCmJ3ujcKWMKaZLKewjagbANtiLLRoG4NbSYvW52m38XxjOl2MKY7siO7-8W6tVuFSMdoQzNsigG8EdBq1ikabqCFfB959bG9Sc6KIoOQ6gQ_TpjH8Hk3KauOSNn0P3oRxm6ugjBNJ2seg5RSyLo1yUL37D33YvIlaQfHHeRtKWnorqhaNaFhxiuBCzR-gytWZjdOla60r6zsBH3cCCpPNn7yCMSW1_PH98ezJ2S77_h67NtDndQr9mEtPp12wmepQ-jdFY-9qiGu1HbpbN9R26NQ0dCXszf363wXdThn9B2AAJoY</recordid><startdate>20170308</startdate><enddate>20170308</enddate><creator>Rodríguez-Arbolí, Eduardo</creator><creator>Mwamelo, Kim</creator><creator>Kalinjuma, Aneth Vedastus</creator><creator>Furrer, Hansjakob</creator><creator>Hatz, Christoph</creator><creator>Tanner, Marcel</creator><creator>Battegay, Manuel</creator><creator>Letang, Emilio</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>XX2</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20170308</creationdate><title>Incidence and risk factors for hypertension among HIV patients in rural Tanzania - A prospective cohort study</title><author>Rodríguez-Arbolí, Eduardo ; Mwamelo, Kim ; Kalinjuma, Aneth Vedastus ; Furrer, Hansjakob ; Hatz, Christoph ; Tanner, Marcel ; Battegay, Manuel ; Letang, Emilio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c767t-87ccce8715a6ef5a578dd1352f39df1afff4deec1995923432a9adf32ca0b5973</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>AIDS</topic><topic>Analysis</topic><topic>Anti-Retroviral Agents - therapeutic use</topic><topic>Antiretroviral agents</topic><topic>Antiretroviral drugs</topic><topic>Biology and Life Sciences</topic><topic>Blood</topic><topic>Blood pressure</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Correlation analysis</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Hazard assessment</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Health screening</topic><topic>Hipertensió</topic><topic>HIV</topic><topic>HIV (Viruses)</topic><topic>HIV Infections - complications</topic><topic>HIV Infections - drug therapy</topic><topic>HIV Infections - mortality</topic><topic>HIV Infections - pathology</topic><topic>HIV patients</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - complications</topic><topic>Hypertension - diagnosis</topic><topic>Hypertension - epidemiology</topic><topic>Immunology</topic><topic>Incidence</topic><topic>Kaplan-Meier Estimate</topic><topic>Lentivirus</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Patients</topic><topic>Pregnancy</topic><topic>Pregnant women</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Retroviridae</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Rural Population</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Tanzania - 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Academic</collection><collection>Recercat</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodríguez-Arbolí, Eduardo</au><au>Mwamelo, Kim</au><au>Kalinjuma, Aneth Vedastus</au><au>Furrer, Hansjakob</au><au>Hatz, Christoph</au><au>Tanner, Marcel</au><au>Battegay, Manuel</au><au>Letang, Emilio</au><au>Verhasselt, Bruno</au><aucorp>KIULARCO Study Group</aucorp><aucorp>on behalf of the KIULARCO Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incidence and risk factors for hypertension among HIV patients in rural Tanzania - A prospective cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-03-08</date><risdate>2017</risdate><volume>12</volume><issue>3</issue><spage>e0172089</spage><pages>e0172089-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Scarce data are available on the epidemiology of hypertension among HIV patients in rural sub-Saharan Africa. We explored the prevalence, incidence and risk factors for incident hypertension among patients who were enrolled in a rural HIV cohort in Tanzania.
Prospective longitudinal study including HIV patients enrolled in the Kilombero and Ulanga Antiretroviral Cohort between 2013 and 2015. Non-ART naïve subjects at baseline and pregnant women during follow-up were excluded from the analysis. Incident hypertension was defined as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg on two consecutive visits. Cox proportional hazards models were used to assess the association of baseline characteristics and incident hypertension.
Among 955 ART-naïve, eligible subjects, 111 (11.6%) were hypertensive at recruitment. Ten women were excluded due to pregnancy. The remaining 834 individuals contributed 7967 person-months to follow-up (median 231 days, IQR 119-421) and 80 (9.6%) of them developed hypertension during a median follow-up of 144 days from time of enrolment into the cohort [incidence rate 120.0 cases/1000 person-years, 95% confidence interval (CI) 97.2-150.0]. ART was started in 630 (75.5%) patients, with a median follow-up on ART of 7 months (IQR 4-14). Cox regression models identified age [adjusted hazard ratio (aHR) 1.34 per 10 years increase, 95% CI 1.07-1.68, p = 0.010], body mass index (aHR per 5 kg/m2 1.45, 95% CI 1.07-1.99, p = 0.018) and estimated glomerular filtration rate (aHR < 60 versus ≥ 60 ml/min/1.73 m2 3.79, 95% CI 1.60-8.99, p = 0.003) as independent risk factors for hypertension development.
The prevalence and incidence of hypertension were high in our cohort. Traditional cardiovascular risk factors predicted incident hypertension, but no association was observed with immunological or ART status. These data support the implementation of routine hypertension screening and integrated management into HIV programmes in rural sub-Saharan Africa.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28273105</pmid><doi>10.1371/journal.pone.0172089</doi><tpages>e0172089</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-03, Vol.12 (3), p.e0172089 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1875378489 |
source | Open Access: PubMed Central; Access via ProQuest (Open Access) |
subjects | Acquired immune deficiency syndrome Adolescent Adult AIDS Analysis Anti-Retroviral Agents - therapeutic use Antiretroviral agents Antiretroviral drugs Biology and Life Sciences Blood Blood pressure Body mass Body Mass Index Body size Cardiovascular diseases Care and treatment Cohort analysis Cohort Studies Confidence intervals Correlation analysis Epidemiology Female Glomerular Filtration Rate Hazard assessment Health aspects Health risks Health screening Hipertensió HIV HIV (Viruses) HIV Infections - complications HIV Infections - drug therapy HIV Infections - mortality HIV Infections - pathology HIV patients Human immunodeficiency virus Humans Hypertension Hypertension - complications Hypertension - diagnosis Hypertension - epidemiology Immunology Incidence Kaplan-Meier Estimate Lentivirus Longitudinal Studies Male Medical diagnosis Medicine and Health Sciences Middle Aged Obesity Patients Pregnancy Pregnant women Proportional Hazards Models Prospective Studies Regression analysis Regression models Retroviridae Risk analysis Risk Factors Rural Population Statistical analysis Statistical models Tanzania - epidemiology VIH (Virus) Young Adult |
title | Incidence and risk factors for hypertension among HIV patients in rural Tanzania - A prospective cohort study |
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