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Factors associated with urinary tract infections among HIV-1 infected patients
Urinary tract infections remain an important yet underinvestigated clinical problem among HIV infected patients. Here we analyze factors associated with its occurrence and the spectrum of bacterial pathogens identified in the group of patients followed at the HIV Out-Patient Clinic in Warsaw. Clinic...
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Published in: | PloS one 2018-01, Vol.13 (1), p.e0190564-e0190564 |
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creator | Skrzat-Klapaczyńska, Agata Matłosz, Bartłomiej Bednarska, Agnieszka Paciorek, Marcin Firląg-Burkacka, Ewa Horban, Andrzej Kowalska, Justyna D |
description | Urinary tract infections remain an important yet underinvestigated clinical problem among HIV infected patients. Here we analyze factors associated with its occurrence and the spectrum of bacterial pathogens identified in the group of patients followed at the HIV Out-Patient Clinic in Warsaw.
Clinic database collected all medical information on patients routinely followed since 1994 to 2015. All patients with available urine culture were included into analyses, only the first culture was included. In statistical analyses logistic regression models were used to identify factors associated with positive culture.
In total 608 patients had urine culture performed, 176 (28.9%) were females and 432 (71,1%) were males, 378 (62.2%) registered in care before/in 2007, 258 (42.4%) infected through homosexual contact. Median baseline lymphocyte CD4+ count was 385 (IQR:204-565) cells/μl and median nadir lymphocyte CD4+ count 197 (86-306) cells/μl. One hundred and eighteen patients were actively infected with HCV, as defined by positive real-time PCR. In total 141 (23.2%) patients had positive urine culture, the most common bacterial pathogen was E.coli (58.2%) and E. faecalis (12.8%). Patients with urinary tract infection were more likely to be female (51.8% vs. 22.1%, p |
doi_str_mv | 10.1371/journal.pone.0190564 |
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Clinic database collected all medical information on patients routinely followed since 1994 to 2015. All patients with available urine culture were included into analyses, only the first culture was included. In statistical analyses logistic regression models were used to identify factors associated with positive culture.
In total 608 patients had urine culture performed, 176 (28.9%) were females and 432 (71,1%) were males, 378 (62.2%) registered in care before/in 2007, 258 (42.4%) infected through homosexual contact. Median baseline lymphocyte CD4+ count was 385 (IQR:204-565) cells/μl and median nadir lymphocyte CD4+ count 197 (86-306) cells/μl. One hundred and eighteen patients were actively infected with HCV, as defined by positive real-time PCR. In total 141 (23.2%) patients had positive urine culture, the most common bacterial pathogen was E.coli (58.2%) and E. faecalis (12.8%). Patients with urinary tract infection were more likely to be female (51.8% vs. 22.1%, p<0.0001), infected through other than homosexual mode (80.1% vs. 50.7%, p<0.0001), with lower nadir CD4 count (139 vs. 221 cells/μl, p<0.0001) and lower baseline HIV RNA (4.02 vs. 4.35 log copies/ml, p = 0.01) and less likely to be HCV RNA positive (26.9% vs. 49.2%, p = 0.01). In multivariate regression model being registered before/in 2007 (OR = 2.10; [95%CI: 1.24-3.56]), infected through other than homosexual mode (2.05;[1.18-3.56]) and female gender (2.14;[1.33-3.44]) were increasing and higher nadir CD4+ count decreasing (0.92;[0.85-0.99]) the odds of urinary tract infection.
We have identified that almost one third of patients had urinary tract infections with non-typical bacterial pathogens. Population with increased odds of urinary tract infections are women, patients infected through other than homosexual contacts and those registered before 2007.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0190564</identifier><identifier>PMID: 29324763</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Adult ; AIDS ; Analysis ; Bacteria ; Bacterial infections ; Biology and Life Sciences ; CD4 antigen ; Cell culture ; Diabetes ; Drug resistance ; Drug therapy ; E coli ; Epidemiology ; Female ; Females ; Health aspects ; Health risk assessment ; Hepatitis ; HIV ; HIV Infections - complications ; HIV patients ; HIV-1 ; Hospitals ; Human immunodeficiency virus ; Humans ; Identification ; Infections ; Infectious diseases ; Lymphocytes ; Male ; Males ; Mathematical models ; Median (statistics) ; Medical prognosis ; Medicine and Health Sciences ; Mens health ; Microorganisms ; Pathogens ; Patients ; People and Places ; Population ; Population (statistical) ; Regression analysis ; Regression models ; Ribonucleic acid ; Risk factors ; RNA ; Statistical analysis ; Urinary tract ; Urinary tract diseases ; Urinary tract infections ; Urinary Tract Infections - complications ; Urine ; Urogenital system ; Viruses</subject><ispartof>PloS one, 2018-01, Vol.13 (1), p.e0190564-e0190564</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Skrzat-Klapaczyńska 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>2018 Skrzat-Klapaczyńska et al 2018 Skrzat-Klapaczyńska et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-bce4a59a0019125647e8556fd0cd5ac798b788dd0d6bfdd273fbd5553538b68a3</citedby><cites>FETCH-LOGICAL-c692t-bce4a59a0019125647e8556fd0cd5ac798b788dd0d6bfdd273fbd5553538b68a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1986672388/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1986672388?pq-origsite=primo$$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/29324763$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Jombo, Godwin Terver</contributor><creatorcontrib>Skrzat-Klapaczyńska, Agata</creatorcontrib><creatorcontrib>Matłosz, Bartłomiej</creatorcontrib><creatorcontrib>Bednarska, Agnieszka</creatorcontrib><creatorcontrib>Paciorek, Marcin</creatorcontrib><creatorcontrib>Firląg-Burkacka, Ewa</creatorcontrib><creatorcontrib>Horban, Andrzej</creatorcontrib><creatorcontrib>Kowalska, Justyna D</creatorcontrib><title>Factors associated with urinary tract infections among HIV-1 infected patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Urinary tract infections remain an important yet underinvestigated clinical problem among HIV infected patients. Here we analyze factors associated with its occurrence and the spectrum of bacterial pathogens identified in the group of patients followed at the HIV Out-Patient Clinic in Warsaw.
Clinic database collected all medical information on patients routinely followed since 1994 to 2015. All patients with available urine culture were included into analyses, only the first culture was included. In statistical analyses logistic regression models were used to identify factors associated with positive culture.
In total 608 patients had urine culture performed, 176 (28.9%) were females and 432 (71,1%) were males, 378 (62.2%) registered in care before/in 2007, 258 (42.4%) infected through homosexual contact. Median baseline lymphocyte CD4+ count was 385 (IQR:204-565) cells/μl and median nadir lymphocyte CD4+ count 197 (86-306) cells/μl. One hundred and eighteen patients were actively infected with HCV, as defined by positive real-time PCR. In total 141 (23.2%) patients had positive urine culture, the most common bacterial pathogen was E.coli (58.2%) and E. faecalis (12.8%). Patients with urinary tract infection were more likely to be female (51.8% vs. 22.1%, p<0.0001), infected through other than homosexual mode (80.1% vs. 50.7%, p<0.0001), with lower nadir CD4 count (139 vs. 221 cells/μl, p<0.0001) and lower baseline HIV RNA (4.02 vs. 4.35 log copies/ml, p = 0.01) and less likely to be HCV RNA positive (26.9% vs. 49.2%, p = 0.01). In multivariate regression model being registered before/in 2007 (OR = 2.10; [95%CI: 1.24-3.56]), infected through other than homosexual mode (2.05;[1.18-3.56]) and female gender (2.14;[1.33-3.44]) were increasing and higher nadir CD4+ count decreasing (0.92;[0.85-0.99]) the odds of urinary tract infection.
We have identified that almost one third of patients had urinary tract infections with non-typical bacterial pathogens. Population with increased odds of urinary tract infections are women, patients infected through other than homosexual contacts and those registered before 2007.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adult</subject><subject>AIDS</subject><subject>Analysis</subject><subject>Bacteria</subject><subject>Bacterial infections</subject><subject>Biology and Life Sciences</subject><subject>CD4 antigen</subject><subject>Cell culture</subject><subject>Diabetes</subject><subject>Drug resistance</subject><subject>Drug therapy</subject><subject>E coli</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Females</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Hepatitis</subject><subject>HIV</subject><subject>HIV Infections - complications</subject><subject>HIV patients</subject><subject>HIV-1</subject><subject>Hospitals</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Identification</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Males</subject><subject>Mathematical models</subject><subject>Median (statistics)</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Mens health</subject><subject>Microorganisms</subject><subject>Pathogens</subject><subject>Patients</subject><subject>People and Places</subject><subject>Population</subject><subject>Population (statistical)</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Ribonucleic acid</subject><subject>Risk factors</subject><subject>RNA</subject><subject>Statistical analysis</subject><subject>Urinary tract</subject><subject>Urinary tract diseases</subject><subject>Urinary tract infections</subject><subject>Urinary Tract Infections - complications</subject><subject>Urine</subject><subject>Urogenital system</subject><subject>Viruses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkttr2zAUxs3YWLts_8HYDIOxPTjTxZLtl0Ep6xooK-zSVyHrkig4VirJu_z3O0ncEo8-DD_YHP3O5_PpfFn2EqM5phX-sPZD6GU33_rezBFuEOPlo-wUN5QUnCD6-Oj7JHsW4xohRmvOn2YnBA7KitPT7MuFVMmHmMsYvXIyGZ3_cmmVD8H1MvzJUwAgd701KjnfA7jx_TK_XNwUeCxDy1YmZ_oUn2dPrOyieTG-Z9mPi0_fzy-Lq-vPi_Ozq0LxhqSiVaaUrJEI5sYEBq9MzRi3GinNpKqauq3qWmukeWu1JhW1rWaMUTDQ8lrSWfb6oLvtfBTjVUSBG_BXEVrXQCwOhPZyLbbBbcCN8NKJfcGHpZAhOdUZoZWmBllrpNUlL7GsNSbS2rY0usQKgdbH8W9DuzFagdMgu4no9KR3K7H0PwWreEk4AYF3o0Dwt4OJSWxcVKbrZG_8sJ-74bAdWNgse_MP-rC7kVpKMABr8Ls97UTFGSOEYYorDNT8AQoebTZOQW6sg_qk4f2kAZhkfqelHGIUi29f_5-9vpmyb4_YlZFdWkXfDftETcHyAKrgYwzG3l8yRmIX-7vbELvYizH20PbqeEH3TXc5p38B5xj9iw</recordid><startdate>20180111</startdate><enddate>20180111</enddate><creator>Skrzat-Klapaczyńska, Agata</creator><creator>Matłosz, Bartłomiej</creator><creator>Bednarska, Agnieszka</creator><creator>Paciorek, Marcin</creator><creator>Firląg-Burkacka, Ewa</creator><creator>Horban, Andrzej</creator><creator>Kowalska, Justyna D</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></search><sort><creationdate>20180111</creationdate><title>Factors associated with urinary tract infections among HIV-1 infected patients</title><author>Skrzat-Klapaczyńska, Agata ; Matłosz, Bartłomiej ; Bednarska, Agnieszka ; Paciorek, Marcin ; Firląg-Burkacka, Ewa ; Horban, Andrzej ; Kowalska, Justyna D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-bce4a59a0019125647e8556fd0cd5ac798b788dd0d6bfdd273fbd5553538b68a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>Adult</topic><topic>AIDS</topic><topic>Analysis</topic><topic>Bacteria</topic><topic>Bacterial infections</topic><topic>Biology and Life Sciences</topic><topic>CD4 antigen</topic><topic>Cell culture</topic><topic>Diabetes</topic><topic>Drug resistance</topic><topic>Drug therapy</topic><topic>E coli</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Females</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Hepatitis</topic><topic>HIV</topic><topic>HIV Infections - complications</topic><topic>HIV patients</topic><topic>HIV-1</topic><topic>Hospitals</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Identification</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Males</topic><topic>Mathematical models</topic><topic>Median (statistics)</topic><topic>Medical prognosis</topic><topic>Medicine and Health Sciences</topic><topic>Mens health</topic><topic>Microorganisms</topic><topic>Pathogens</topic><topic>Patients</topic><topic>People and Places</topic><topic>Population</topic><topic>Population (statistical)</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Ribonucleic acid</topic><topic>Risk factors</topic><topic>RNA</topic><topic>Statistical analysis</topic><topic>Urinary tract</topic><topic>Urinary tract diseases</topic><topic>Urinary tract infections</topic><topic>Urinary Tract Infections - complications</topic><topic>Urine</topic><topic>Urogenital system</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Skrzat-Klapaczyńska, Agata</creatorcontrib><creatorcontrib>Matłosz, Bartłomiej</creatorcontrib><creatorcontrib>Bednarska, Agnieszka</creatorcontrib><creatorcontrib>Paciorek, Marcin</creatorcontrib><creatorcontrib>Firląg-Burkacka, Ewa</creatorcontrib><creatorcontrib>Horban, Andrzej</creatorcontrib><creatorcontrib>Kowalska, Justyna D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</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>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>ProQuest Central</collection><collection>Technology Collection</collection><collection>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</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</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Skrzat-Klapaczyńska, Agata</au><au>Matłosz, Bartłomiej</au><au>Bednarska, Agnieszka</au><au>Paciorek, Marcin</au><au>Firląg-Burkacka, Ewa</au><au>Horban, Andrzej</au><au>Kowalska, Justyna D</au><au>Jombo, Godwin Terver</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with urinary tract infections among HIV-1 infected patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-01-11</date><risdate>2018</risdate><volume>13</volume><issue>1</issue><spage>e0190564</spage><epage>e0190564</epage><pages>e0190564-e0190564</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Urinary tract infections remain an important yet underinvestigated clinical problem among HIV infected patients. Here we analyze factors associated with its occurrence and the spectrum of bacterial pathogens identified in the group of patients followed at the HIV Out-Patient Clinic in Warsaw.
Clinic database collected all medical information on patients routinely followed since 1994 to 2015. All patients with available urine culture were included into analyses, only the first culture was included. In statistical analyses logistic regression models were used to identify factors associated with positive culture.
In total 608 patients had urine culture performed, 176 (28.9%) were females and 432 (71,1%) were males, 378 (62.2%) registered in care before/in 2007, 258 (42.4%) infected through homosexual contact. Median baseline lymphocyte CD4+ count was 385 (IQR:204-565) cells/μl and median nadir lymphocyte CD4+ count 197 (86-306) cells/μl. One hundred and eighteen patients were actively infected with HCV, as defined by positive real-time PCR. In total 141 (23.2%) patients had positive urine culture, the most common bacterial pathogen was E.coli (58.2%) and E. faecalis (12.8%). Patients with urinary tract infection were more likely to be female (51.8% vs. 22.1%, p<0.0001), infected through other than homosexual mode (80.1% vs. 50.7%, p<0.0001), with lower nadir CD4 count (139 vs. 221 cells/μl, p<0.0001) and lower baseline HIV RNA (4.02 vs. 4.35 log copies/ml, p = 0.01) and less likely to be HCV RNA positive (26.9% vs. 49.2%, p = 0.01). In multivariate regression model being registered before/in 2007 (OR = 2.10; [95%CI: 1.24-3.56]), infected through other than homosexual mode (2.05;[1.18-3.56]) and female gender (2.14;[1.33-3.44]) were increasing and higher nadir CD4+ count decreasing (0.92;[0.85-0.99]) the odds of urinary tract infection.
We have identified that almost one third of patients had urinary tract infections with non-typical bacterial pathogens. Population with increased odds of urinary tract infections are women, patients infected through other than homosexual contacts and those registered before 2007.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29324763</pmid><doi>10.1371/journal.pone.0190564</doi><tpages>e0190564</tpages><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2018-01, Vol.13 (1), p.e0190564-e0190564 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1986672388 |
source | Open Access: PubMed Central; Publicly Available Content Database |
subjects | Acquired immune deficiency syndrome Adult AIDS Analysis Bacteria Bacterial infections Biology and Life Sciences CD4 antigen Cell culture Diabetes Drug resistance Drug therapy E coli Epidemiology Female Females Health aspects Health risk assessment Hepatitis HIV HIV Infections - complications HIV patients HIV-1 Hospitals Human immunodeficiency virus Humans Identification Infections Infectious diseases Lymphocytes Male Males Mathematical models Median (statistics) Medical prognosis Medicine and Health Sciences Mens health Microorganisms Pathogens Patients People and Places Population Population (statistical) Regression analysis Regression models Ribonucleic acid Risk factors RNA Statistical analysis Urinary tract Urinary tract diseases Urinary tract infections Urinary Tract Infections - complications Urine Urogenital system Viruses |
title | Factors associated with urinary tract infections among HIV-1 infected patients |
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