Empirical treatment for TB in HIV: lessons from a cohort study of people living with HIV treated in Recife, Brazil
Identifieur interne : 001362 ( Pmc/Corpus ); précédent : 001361; suivant : 001363Empirical treatment for TB in HIV: lessons from a cohort study of people living with HIV treated in Recife, Brazil
Auteurs : Maria De Fátima Pessoa Militão Albuquerque ; Isabella Coimbra ; Joanna D Rc Batista ; Magda Maruza ; Ricardo A A. Ximenes ; Heloísa R. Lacerda ; Dem Crito B. Miranda-Filho ; Marcela L. Santos ; Laura C. RodriguesSource :
- BMC Public Health [ 1471-2458 ] ; 2014.
Abstract
Tuberculosis (TB) is the leading cause of death related to HIV worldwide. This study analyzes the survival of People Living with HIV (PLHIV) reporting cough without bacteriological confirmation of TB and identify factors associated with death.
Prospective cohort with a consecutive sample of PLHIV, aged ≥ 18 years. Patient inclusion criteria were complaint of current cough of any duration at the time of the first study interview or during their subsequent routine visits to health services and for whom AFB sputum smear was either negative or not performed during the whole follow-up period. Kaplan-Meier method was used to calculate the probability of survival. We estimated the Hazard Ratio (HR) in bivariate and multivariate Cox regression analyses.
Mortality was 4.6 per 100 py; 73% were receiving HAART at recruitment. Average time from the first recorded date of cough until empirical treatment for tuberculosis was six months. Mortality was higher when the CD4 count was low (HR = 5.3; CI 95%: 3.2-9.0; p = 0.000), in those with anemia (HR = 3.0; CI 95%: 1.6-5.6; p = 0.001) and with abnormal chest X-rays (HR = 2.4; CI 95%: 1.4-4.0; p = 0.001). Mortality was higher in those receiving empirical TB treatment (HR = 2.4; CI 95%: 1.4-4.0; p = 0.002), but only in those with normal X-rays, no history of tuberculosis and no bacteriology requests. Empirical treatment for TB was more frequent in PLHIV with low CD4 counts, anemia, history of opportunistic infections, weight loss, previous tuberculosis, negative bacteriology test (as opposed to not having a test) and abnormal chest X-ray.
Higher mortality in PLHIV reporting a current cough without bacteriological confirmation of tuberculosis was identified for those with a CD4 cell count <200, abnormal chest X-ray, anemia and empirical treatment for tuberculosis. Mortality was not significantly higher in those empirically treated for TB, who had three characteristics suggestive of the disease (abnormal chest X-ray, history of TB treatment, AFB sputum smear or
Url:
DOI: 10.1186/1471-2458-14-289
PubMed: 24679187
PubMed Central: 4020612
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Empirical treatment for TB in HIV: lessons from a cohort study of people living with HIV treated in Recife, Brazil</title><author><name sortKey="Albuquerque, Maria De Fatima Pessoa Militao" sort="Albuquerque, Maria De Fatima Pessoa Militao" uniqKey="Albuquerque M" first="Maria De Fátima Pessoa Militão" last="Albuquerque">Maria De Fátima Pessoa Militão Albuquerque</name><affiliation><nlm:aff id="I1">NESC Department, Centro de Pesquisas Aggeu Magalhães/FIOCRUZ, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Coimbra, Isabella" sort="Coimbra, Isabella" uniqKey="Coimbra I" first="Isabella" last="Coimbra">Isabella Coimbra</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Batista, Joanna D Rc" sort="Batista, Joanna D Rc" uniqKey="Batista J" first="Joanna D Rc" last="Batista">Joanna D Rc Batista</name><affiliation><nlm:aff id="I3">Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Maruza, Magda" sort="Maruza, Magda" uniqKey="Maruza M" first="Magda" last="Maruza">Magda Maruza</name><affiliation><nlm:aff id="I4">Hospital Correia Picanço, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Ximenes, Ricardo A A" sort="Ximenes, Ricardo A A" uniqKey="Ximenes R" first="Ricardo A A" last="Ximenes">Ricardo A A. Ximenes</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation><affiliation><nlm:aff id="I3">Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Lacerda, Heloisa R" sort="Lacerda, Heloisa R" uniqKey="Lacerda H" first="Heloísa R" last="Lacerda">Heloísa R. Lacerda</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation><affiliation><nlm:aff id="I3">Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Miranda Filho, Dem Crito B" sort="Miranda Filho, Dem Crito B" uniqKey="Miranda Filho D" first="Dem Crito B" last="Miranda-Filho">Dem Crito B. Miranda-Filho</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Santos, Marcela L" sort="Santos, Marcela L" uniqKey="Santos M" first="Marcela L" last="Santos">Marcela L. Santos</name><affiliation><nlm:aff id="I1">NESC Department, Centro de Pesquisas Aggeu Magalhães/FIOCRUZ, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Rodrigues, Laura C" sort="Rodrigues, Laura C" uniqKey="Rodrigues L" first="Laura C" last="Rodrigues">Laura C. Rodrigues</name><affiliation><nlm:aff id="I5">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24679187</idno><idno type="pmc">4020612</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4020612</idno><idno type="RBID">PMC:4020612</idno><idno type="doi">10.1186/1471-2458-14-289</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">001362</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001362</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Empirical treatment for TB in HIV: lessons from a cohort study of people living with HIV treated in Recife, Brazil</title><author><name sortKey="Albuquerque, Maria De Fatima Pessoa Militao" sort="Albuquerque, Maria De Fatima Pessoa Militao" uniqKey="Albuquerque M" first="Maria De Fátima Pessoa Militão" last="Albuquerque">Maria De Fátima Pessoa Militão Albuquerque</name><affiliation><nlm:aff id="I1">NESC Department, Centro de Pesquisas Aggeu Magalhães/FIOCRUZ, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Coimbra, Isabella" sort="Coimbra, Isabella" uniqKey="Coimbra I" first="Isabella" last="Coimbra">Isabella Coimbra</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Batista, Joanna D Rc" sort="Batista, Joanna D Rc" uniqKey="Batista J" first="Joanna D Rc" last="Batista">Joanna D Rc Batista</name><affiliation><nlm:aff id="I3">Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Maruza, Magda" sort="Maruza, Magda" uniqKey="Maruza M" first="Magda" last="Maruza">Magda Maruza</name><affiliation><nlm:aff id="I4">Hospital Correia Picanço, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Ximenes, Ricardo A A" sort="Ximenes, Ricardo A A" uniqKey="Ximenes R" first="Ricardo A A" last="Ximenes">Ricardo A A. Ximenes</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation><affiliation><nlm:aff id="I3">Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Lacerda, Heloisa R" sort="Lacerda, Heloisa R" uniqKey="Lacerda H" first="Heloísa R" last="Lacerda">Heloísa R. Lacerda</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation><affiliation><nlm:aff id="I3">Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Miranda Filho, Dem Crito B" sort="Miranda Filho, Dem Crito B" uniqKey="Miranda Filho D" first="Dem Crito B" last="Miranda-Filho">Dem Crito B. Miranda-Filho</name><affiliation><nlm:aff id="I2">Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Santos, Marcela L" sort="Santos, Marcela L" uniqKey="Santos M" first="Marcela L" last="Santos">Marcela L. Santos</name><affiliation><nlm:aff id="I1">NESC Department, Centro de Pesquisas Aggeu Magalhães/FIOCRUZ, Recife, Brazil</nlm:aff></affiliation></author><author><name sortKey="Rodrigues, Laura C" sort="Rodrigues, Laura C" uniqKey="Rodrigues L" first="Laura C" last="Rodrigues">Laura C. Rodrigues</name><affiliation><nlm:aff id="I5">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author></analytic><series><title level="j">BMC Public Health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Tuberculosis (TB) is the leading cause of death related to HIV worldwide. This study analyzes the survival of People Living with HIV (PLHIV) reporting cough without bacteriological confirmation of TB and identify factors associated with death.</p></sec><sec><title>Methods</title><p>Prospective cohort with a consecutive sample of PLHIV, aged ≥ 18 years. Patient inclusion criteria were complaint of current cough of any duration at the time of the first study interview or during their subsequent routine visits to health services and for whom AFB sputum smear was either negative or not performed during the whole follow-up period. Kaplan-Meier method was used to calculate the probability of survival. We estimated the Hazard Ratio (HR) in bivariate and multivariate Cox regression analyses.</p></sec><sec><title>Results</title><p>Mortality was 4.6 per 100 py; 73% were receiving HAART at recruitment. Average time from the first recorded date of cough until empirical treatment for tuberculosis was six months. Mortality was higher when the CD4 count was low (HR = 5.3; CI 95%: 3.2-9.0; p = 0.000), in those with anemia (HR = 3.0; CI 95%: 1.6-5.6; p = 0.001) and with abnormal chest X-rays (HR = 2.4; CI 95%: 1.4-4.0; p = 0.001). Mortality was higher in those receiving empirical TB treatment (HR = 2.4; CI 95%: 1.4-4.0; p = 0.002), but only in those with normal X-rays, no history of tuberculosis and no bacteriology requests. Empirical treatment for TB was more frequent in PLHIV with low CD4 counts, anemia, history of opportunistic infections, weight loss, previous tuberculosis, negative bacteriology test (as opposed to not having a test) and abnormal chest X-ray.</p></sec><sec><title>Conclusions</title><p>Higher mortality in PLHIV reporting a current cough without bacteriological confirmation of tuberculosis was identified for those with a CD4 cell count <200, abnormal chest X-ray, anemia and empirical treatment for tuberculosis. Mortality was not significantly higher in those empirically treated for TB, who had three characteristics suggestive of the disease (abnormal chest X-ray, history of TB treatment, AFB sputum smear or <italic>M.tb</italic> culture testing). 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<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Public Health</journal-id><journal-id journal-id-type="iso-abbrev">BMC Public Health</journal-id><journal-title-group><journal-title>BMC Public Health</journal-title></journal-title-group><issn pub-type="epub">1471-2458</issn><publisher><publisher-name>BioMed Central</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24679187</article-id><article-id pub-id-type="pmc">4020612</article-id><article-id pub-id-type="publisher-id">1471-2458-14-289</article-id><article-id pub-id-type="doi">10.1186/1471-2458-14-289</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Empirical treatment for TB in HIV: lessons from a cohort study of people living with HIV treated in Recife, Brazil</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" id="A1"><name><surname>Albuquerque</surname><given-names>Maria de Fátima Pessoa Militão</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>militaofatima@gmail.com</email></contrib><contrib contrib-type="author" id="A2"><name><surname>Coimbra</surname><given-names>Isabella</given-names></name><xref ref-type="aff" rid="I2">2</xref><email>isabella.coimbra@uol.com.br</email></contrib><contrib contrib-type="author" id="A3"><name><surname>Batista</surname><given-names>Joanna d’Arc</given-names></name><xref ref-type="aff" rid="I3">3</xref><email>joannalyra@gmail.com</email></contrib><contrib contrib-type="author" id="A4"><name><surname>Maruza</surname><given-names>Magda</given-names></name><xref ref-type="aff" rid="I4">4</xref><email>magdamaruza@yahoo.com.br</email></contrib><contrib contrib-type="author" id="A5"><name><surname>Ximenes</surname><given-names>Ricardo A A</given-names></name><xref ref-type="aff" rid="I2">2</xref><xref ref-type="aff" rid="I3">3</xref><email>ricardo.ximenes@pq.cnpq.br</email></contrib><contrib contrib-type="author" id="A6"><name><surname>Lacerda</surname><given-names>Heloísa R</given-names></name><xref ref-type="aff" rid="I2">2</xref><xref ref-type="aff" rid="I3">3</xref><email>helramos@terra.com.br</email></contrib><contrib contrib-type="author" id="A7"><name><surname>Miranda-Filho</surname><given-names>Demócrito B</given-names></name><xref ref-type="aff" rid="I2">2</xref><email>demofilho@uol.com.br</email></contrib><contrib contrib-type="author" id="A8"><name><surname>Santos</surname><given-names>Marcela L</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>santosmlopes@gmail.com</email></contrib><contrib contrib-type="author" id="A9"><name><surname>Rodrigues</surname><given-names>Laura C</given-names></name><xref ref-type="aff" rid="I5">5</xref><email>laura.rodrigues@lshtm.ac.uk</email></contrib></contrib-group><aff id="I1"><label>1</label>NESC Department, Centro de Pesquisas Aggeu Magalhães/FIOCRUZ, Recife, Brazil</aff><aff id="I2"><label>2</label>Department of Medical Science, Universidade de Pernambuco, Recife, Brazil</aff><aff id="I3"><label>3</label>Department of Tropical Medicine, Universidade Federal de Pernambuco, Recife, Brazil</aff><aff id="I4"><label>4</label>Hospital Correia Picanço, Recife, Brazil</aff><aff id="I5"><label>5</label>London School of Hygiene and Tropical Medicine, London, UK</aff><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>29</day><month>3</month><year>2014</year></pub-date><volume>14</volume><fpage>289</fpage><lpage>289</lpage><history><date date-type="received"><day>26</day><month>4</month><year>2013</year></date><date date-type="accepted"><day>20</day><month>3</month><year>2014</year></date></history><permissions><copyright-statement>Copyright © 2014 Albuquerque et al.; licensee BioMed Central Ltd.</copyright-statement><copyright-year>2014</copyright-year><copyright-holder>Albuquerque et al.; licensee BioMed Central Ltd.</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.</license-p></license></permissions><self-uri xlink:href="http://www.biomedcentral.com/1471-2458/14/289"></self-uri><abstract><sec><title>Background</title><p>Tuberculosis (TB) is the leading cause of death related to HIV worldwide. This study analyzes the survival of People Living with HIV (PLHIV) reporting cough without bacteriological confirmation of TB and identify factors associated with death.</p></sec><sec><title>Methods</title><p>Prospective cohort with a consecutive sample of PLHIV, aged ≥ 18 years. Patient inclusion criteria were complaint of current cough of any duration at the time of the first study interview or during their subsequent routine visits to health services and for whom AFB sputum smear was either negative or not performed during the whole follow-up period. Kaplan-Meier method was used to calculate the probability of survival. We estimated the Hazard Ratio (HR) in bivariate and multivariate Cox regression analyses.</p></sec><sec><title>Results</title><p>Mortality was 4.6 per 100 py; 73% were receiving HAART at recruitment. Average time from the first recorded date of cough until empirical treatment for tuberculosis was six months. Mortality was higher when the CD4 count was low (HR = 5.3; CI 95%: 3.2-9.0; p = 0.000), in those with anemia (HR = 3.0; CI 95%: 1.6-5.6; p = 0.001) and with abnormal chest X-rays (HR = 2.4; CI 95%: 1.4-4.0; p = 0.001). Mortality was higher in those receiving empirical TB treatment (HR = 2.4; CI 95%: 1.4-4.0; p = 0.002), but only in those with normal X-rays, no history of tuberculosis and no bacteriology requests. Empirical treatment for TB was more frequent in PLHIV with low CD4 counts, anemia, history of opportunistic infections, weight loss, previous tuberculosis, negative bacteriology test (as opposed to not having a test) and abnormal chest X-ray.</p></sec><sec><title>Conclusions</title><p>Higher mortality in PLHIV reporting a current cough without bacteriological confirmation of tuberculosis was identified for those with a CD4 cell count <200, abnormal chest X-ray, anemia and empirical treatment for tuberculosis. Mortality was not significantly higher in those empirically treated for TB, who had three characteristics suggestive of the disease (abnormal chest X-ray, history of TB treatment, AFB sputum smear or <italic>M.tb</italic> culture testing). Routine cohorts are not an adequate setting to evaluate the impact of empirical treatment for TB on the mortality of PLHIV.</p></sec></abstract><kwd-group><kwd>TB/HIV</kwd><kwd>Mortality rate</kwd><kwd>Survival analysis</kwd></kwd-group></article-meta></front><body><sec><title>Background</title><p>The widespread use of HAART has caused a decline in mortality rates in PLHIV [<xref ref-type="bibr" rid="B1">1</xref>], although rates are still higher in developing countries than in developed countries [<xref ref-type="bibr" rid="B2">2</xref>]. Population surveys and autopsy studies have shown that many of these deaths are due to undiagnosed and therefore untreated tuberculosis (TB) [<xref ref-type="bibr" rid="B3">3</xref>-<xref ref-type="bibr" rid="B5">5</xref>]. TB is the leading cause of death related to HIV worldwide [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B6">6</xref>-<xref ref-type="bibr" rid="B9">9</xref>] contributing to an estimated 24% of deaths [<xref ref-type="bibr" rid="B1">1</xref>], and this alone may prevent meeting the WHO target of halving the 1990 levels of TB mortality [<xref ref-type="bibr" rid="B6">6</xref>]. Simultaneous antiretroviral and TB treatment has reduced mortality of dual TB/HIV cases in observational studies [<xref ref-type="bibr" rid="B10">10</xref>-<xref ref-type="bibr" rid="B12">12</xref>] and controlled trials [<xref ref-type="bibr" rid="B13">13</xref>] and is recommended by WHO [<xref ref-type="bibr" rid="B6">6</xref>]. However, in the severely immune-suppressed it is difficult to diagnose tuberculosis or even to establish criteria for suspecting active disease.</p><p>In developing countries, the diagnosis of pulmonary TB is heavily dependent on AFB sputum smear microscopy, which has low sensitivity among PLHIV [<xref ref-type="bibr" rid="B14">14</xref>], who often present extra pulmonary or sputum smear-negative pulmonary TB, resulting in late diagnosis [<xref ref-type="bibr" rid="B15">15</xref>] and therefore either delayed or no treatment [<xref ref-type="bibr" rid="B16">16</xref>]. This has led to the suggestion that empirical treatment of tuberculosis (i.e. without microbiological confirmation) may be desirable in some circumstances, given the existing limitations for the diagnosis of negative AFB sputum smear pulmonary TB in PLHIV, and the high rates of TB mortality in this population [<xref ref-type="bibr" rid="B3">3</xref>]. In spite of this, there has been little research into the outcomes of HIV-positive TB suspects [<xref ref-type="bibr" rid="B17">17</xref>]. Moreover, in the routine of health services, attending physicians may not always follow standardized protocols and it remains unclear as to how these patients are selected for empirical TB treatment.</p><p>Recife, the capital of Pernambuco, Northeast Brazil, has the 4th highest rate of TB (92/100.000 inhabitants in 2011) in the country, and high mortality rates from TB (6.1/100.00 inhabitants in 2011) [<xref ref-type="bibr" rid="B18">18</xref>]. In a routine care setting in Recife, we estimated the probability of survival and the mortality rate of PLHIV complaining of a cough, since this is the main symptom for suspected TB, as recommended by the Brazilian Ministry of Health) [<xref ref-type="bibr" rid="B18">18</xref>]. The presence of a cough of any duration is one of the four symptoms recommended for TB screening amongst PLHIV [<xref ref-type="bibr" rid="B19">19</xref>]. We also investigated factors associated with death, with emphasis on empirical treatment for tuberculosis.</p></sec><sec sec-type="methods"><title>Methods</title><p>From an original cohort of PLHIV attending two HIV referral health centers in Recife, recruited from 2007 to 2010 and followed up to June 2011, we selected a consecutive sample of individuals who reported a cough in order to estimate the probability of survival and mortality rates. We also identified the factors associated with death with emphasis on empirical TB treatment. The patient inclusion criteria were: aged ≥ 18 years, and complaining of a current cough of any duration at the time of the first study interview, or during their subsequent routine visits to health services, and for whom AFB sputum smear examination or <italic>Mycobacterium tuberculosis</italic> (<italic>M.tb</italic>) culture tests were either negative or not performed (either because the attending physician did not request the test or because the patient did not have sputum or simply did not perform the requested tests) during the whole follow-up period.</p><p>We excluded those with positive bacteriology results (sputum smear microscopy or culture for <italic>M.tb</italic>) because they were confirmed TB cases. Cough was used in the study to indicate that patients were respiratory symptomatic and thus, presenting a higher probability of pulmonary TB.</p><p>The outcome of interest was time until death by any cause, with the exception of external causes (accidents, homicides and suicides). Deaths were identified through record linkage of cohort subjects to deaths during the follow-up period in the Mortality Information System of Pernambuco (SIM-PE), using the probabilistic linkage program RecLink III [<xref ref-type="bibr" rid="B20">20</xref>].</p><p>The main exposure of interest was empirical treatment for TB in the context of the study hypothesis as a protective factor for mortality in PLHIV. Treatment for pulmonary TB was initiated by the attending physician based on their clinical judgment. Antiretroviral therapy and TB treatment are distributed free of charge by the health services, and are restricted to cases notified to the System of Notification of Infectious Diseases (SINAN)/Pernambuco (PE).</p><p>Other explanatory variables were sex, age, socioeconomic status (individual monthly income, literacy and employment), and lifestyle (use of illicit drugs, alcohol and tobacco). Alcohol consumption, based on reported number of drinks per day, was classified according to the CDC [<xref ref-type="bibr" rid="B21">21</xref>], into abstainers, light drinkers and heavy drinkers (>two drinks/day for men and > one drink/day for women). Smoking was classified into: never smoker, former smoker (did not smoke at the time of the study nor during the preceding 6 months), and current smoker (smoked at the time of the study or quit less than six months before) [<xref ref-type="bibr" rid="B22">22</xref>].</p><p>Data was also collected on general health (Body Mass Index-BMI, anemia, loss of weight reported at baseline) and variables related with HIV and TB. HIV-related variables included CD4 T-cell count and opportunistic diseases during the previous three months. A combination of three different antiretroviral drugs was categorized as either using HAART or not, on entry to the cohort.</p><p>The CD4 T-cell count was measured during the follow-up period and was the only time-varying variable in the survival analysis, categorized as ≥ 200 cells/mm<sup>3</sup> and < 200 cells/mm<sup>3</sup>. Variables related to TB included chest X-ray, history of previous TB treatment and bacteriology testing (whether negative or not performed).</p><p>Individuals were interviewed by a health professional using a tailored questionnaire, after signing the Statement of Informed Consent. Information regarding complaining of a cough, results of laboratory tests, and treatment for TB and HIV was abstracted from medical records using a specific form. Patients who reported a cough of any duration during the routine clinical visits were enrolled in this cohort.</p><sec><title>Statistical analysis</title><p>The follow-up period was considered from the time a cough was first registered until failure (death) or censoring: at the end of the study or on death from external causes (accidents, homicides or suicides). The Kaplan-Meier (KM) method was used to calculate the probability of survival for the whole study population and stratified for empirical treatment for TB (yes/no) and for CD4 cell count (≥ 200 cells/mm<sup>3</sup> and < 200 cells/mm<sup>3</sup>. To identify factors associated with death we estimated the Hazard Ratio (HR) in bivariate and multivariate Cox regression analyses with 95% Confidence Intervals (CI) and p values to evaluate the statistical significance. We assessed the proportional-hazards assumption for each variable studied. Variables significantly associated with death in the bivariate analysis at a p value ≤ 0.20 were introduced into the multivariate model, according to their statistical significance and clinical and epidemiological importance. The final model retained variables associated with death at p value ≤ 0.05.</p><p>A second unplanned analysis was conducted to investigate an unexpected result: the higher mortality in those who received empirical treatment for TB. First, we investigated the characteristics of those who received empirical treatment (bivariate and multivariate logistic regression analyses) to verify whether these characteristics could explain the higher mortality. Secondly, we estimated the effect of the empirical treatment separately in those we considered less likely to have had TB and those more likely to have had TB, based on the presence of three indicators for the likelihood of TB: bacteriology testing, an abnormal chest X-ray and a history of previous TB treatment.</p><p>Our hypothesis was that empirical treatment for TB would only be associated with higher mortality rates in those unlikely to have had TB, proposing that treatment may have been introduced as a desperate measure given the severity of the HIV disease, (where mortality is very high). Data analysis was undertaken using STATA 11.2.</p></sec><sec><title>Ethical approval</title><p>This study is part of the project “Clinical-epidemiological study of co-infection tuberculosis/HIV in Recife” which was approved by the Research Ethics Committee at the Universidade Federal de Pernambuco (CEP/CCS/UFPE 254/05).</p></sec></sec><sec sec-type="results"><title>Results</title><p>From 2382 PLHIV attending the referral centers during the study period, 893 complained of a cough of any duration at any time during follow-up. Of these, 93 were excluded: 62 presented sputum smear positive, 21 had started TB treatment before registering a cough, eight presented a positive <italic>M.tb</italic> culture during the follow-up, and two died on the day a cough was recorded. The final analysis included 800 patients, with 698 censored, 691 surviving to the end of the study and 7 deaths from external causes and 95 deaths from clinical causes (failures) (Figure <xref ref-type="fig" rid="F1">1</xref>).</p><fig id="F1" position="float"><label>Figure 1</label><caption><p>Flow chart of the study population.</p></caption><graphic xlink:href="1471-2458-14-289-1"></graphic></fig><p>Table <xref ref-type="table" rid="T1">1</xref> shows the frequency distribution of demographic, socioeconomic and lifestyle factors. Most patients (59%) were male and 55% were aged under 40 years. Over 80% were literate and 47.5% had a monthly income ≥ 1 minimum wage (on average 170 dollars over the study period) and 25% were employed. Most were either current (40%) or former (23%) smokers. Past/current use of illicit drugs was reported by one in three patients.</p><table-wrap position="float" id="T1"><label>Table 1</label><caption><p>Frequency distribution and bivariate Cox regression analysis of the association between demographic, socioeconomic and lifestyle variables and death of PLHIV complaining of cough, Recife, 2010</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left" valign="bottom"> <hr></hr></th><th align="left" valign="bottom"><bold>N (%)</bold><hr></hr></th><th align="left" valign="bottom"><bold>HR (CI 95%</bold><bold>)</bold><hr></hr></th><th align="left" valign="bottom"><bold><italic>P</italic></bold><bold>value</bold><hr></hr></th><th align="left" valign="bottom"><bold>Proportionality test</bold><hr></hr></th></tr><tr><th align="left"> </th><th align="left"> </th><th align="left"> </th><th align="left"> </th><th align="left"><bold><italic>p value</italic></bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom"><bold>Demographic variables</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Sex</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Female<hr></hr></td><td align="left" valign="bottom">327 (40.9)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Males<hr></hr></td><td align="left" valign="bottom">473 (59.1)<hr></hr></td><td align="left" valign="bottom">1.62 (1.0 – 2.5)<hr></hr></td><td align="left" valign="bottom">0.031<hr></hr></td><td align="left" valign="bottom">0.3761<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Age</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Age groups</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">< 40 years<hr></hr></td><td align="left" valign="bottom">437 (54.6)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">≥ 40 years<hr></hr></td><td align="left" valign="bottom">363 (45.4)<hr></hr></td><td align="left" valign="bottom">0.91 (0.6 – 1.4)<hr></hr></td><td align="left" valign="bottom">0.643<hr></hr></td><td align="left" valign="bottom">0.1676<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Socioeconomic variables</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Literate</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">678 (85.4)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">116 (14.6)<hr></hr></td><td align="left" valign="bottom">1.4 (0.8 – 2.3)<hr></hr></td><td align="left" valign="bottom">0.198<hr></hr></td><td align="left" valign="bottom">0.7981<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Individual monthly income (MW)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">≥ 1<hr></hr></td><td align="left" valign="bottom">374 (47.5)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">< 1<hr></hr></td><td align="left" valign="bottom">413 (52.5)<hr></hr></td><td align="left" valign="bottom">1.1 (0.9 – 1.4)<hr></hr></td><td align="left" valign="bottom">0.272<hr></hr></td><td align="left" valign="bottom">0.2641<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Employment</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">191 (24.2)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">599 (75.8)<hr></hr></td><td align="left" valign="bottom">2.4 (1.3 – 4.6)<hr></hr></td><td align="left" valign="bottom">0.006<hr></hr></td><td align="left" valign="bottom">0.6009<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Lifestyle variables</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Alcohol consumption</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Abstainer<hr></hr></td><td align="left" valign="bottom">497 (63.3)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">0.003<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Light drinker<hr></hr></td><td align="left" valign="bottom">189 (24.1)<hr></hr></td><td align="left" valign="bottom">0.4 (0.2 - 0.7)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Heavy drinker<hr></hr></td><td align="left" valign="bottom">99 (12.6)<hr></hr></td><td align="left" valign="bottom">0.6 (0.3 - 1.2)<hr></hr></td><td align="left" valign="bottom">0.193<hr></hr></td><td align="left" valign="bottom">0.3628<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Smoking status</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Never smoker<hr></hr></td><td align="left" valign="bottom">296 (37.1)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Former smoker<hr></hr></td><td align="left" valign="bottom">180 (22.6)<hr></hr></td><td align="left" valign="bottom">0.6 (0.3 - 1.2)<hr></hr></td><td align="left" valign="bottom">0.159<hr></hr></td><td align="left" valign="bottom">0.3839<hr></hr></td></tr><tr><td align="left" valign="bottom">Current smoker<hr></hr></td><td align="left" valign="bottom">322 (40.4)<hr></hr></td><td align="left" valign="bottom">1.4 (0.9 - 2.1)<hr></hr></td><td align="left" valign="bottom">0.170<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Illicit drug use</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Never<hr></hr></td><td align="left" valign="bottom">553 (69.5)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left">Past or current</td><td align="left">243 (30.5)</td><td align="left">1.0 (0.6 - 1.5)</td><td align="left">0.904</td><td align="left">0.2202</td></tr></tbody></table></table-wrap><p>Table <xref ref-type="table" rid="T2">2</xref> shows the distribution of general health variables, variables related to HIV and variables related to TB. At baseline, 62% had a BMI between 18.5 kg/m<sup>2</sup> and 24.9 kg/m<sup>2</sup> (eutrophic), 11% were underweight and 27% were overweight/obese; 45% had anemia and half reported opportunistic diseases in the three months before recruitment. During follow-up, almost all (99.4%) underwent at least one CD4 cell count measurement and 73.2% used HAART at entry. Previous TB treatment was reported by 22.7% and one hundred and seventy one (21%) individuals received empirical treatment for tuberculosis during follow-up. Bacteriology tests (AFB sputum smear or <italic>M.tb</italic> culture) were not performed in 61% (492) of the whole cohort, and this percentage dropped to 40.9% among the 171 patients who initiated presumptive TB treatment, during follow-up (data not shown). Half of the 492 people who did not undergo bacteriological testing was reported to have no sputum. Patients who did not undergo AFB sputum smear or <italic>M.tb</italic> culture testing during follow-up were similar to those who tested and were negative, in relation to sex, age, CD4 cell count and HAART at baseline (data not shown).</p><table-wrap position="float" id="T2"><label>Table 2</label><caption><p>Frequency distribution and bivariate Cox regression analysis of the association between general health, variables related to HIV and TB with death of PLHIV complaining of cough, Recife, 2010</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left" valign="bottom"> <hr></hr></th><th align="left" valign="top"><bold>N (%)</bold><hr></hr></th><th align="left" valign="top"><bold>HR (CI 95%</bold><bold>)</bold><hr></hr></th><th align="left" valign="top"><bold><italic>P</italic></bold><bold>value</bold><hr></hr></th><th align="left" valign="bottom"><bold>Proportionality test</bold><hr></hr></th></tr><tr><th align="left"> </th><th align="left"> </th><th align="left"> </th><th align="left"> </th><th align="left"><bold><italic>p value</italic></bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom"><bold>General health variables</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>BMI</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">18.5 to 24.9 kg/m<sup>2</sup><hr></hr></td><td align="left" valign="bottom">483 (62.4)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">< 18.5 kg/m<sup>2</sup><hr></hr></td><td align="left" valign="bottom">85 (11.0)<hr></hr></td><td align="left" valign="bottom">2.0 (1.1 – 3.4)<hr></hr></td><td align="left" valign="bottom">0.015<hr></hr></td><td align="left" valign="bottom">0.2341<hr></hr></td></tr><tr><td align="left" valign="bottom">≥ 25 kg/m<sup>2</sup><hr></hr></td><td align="left" valign="bottom">206 (26.6)<hr></hr></td><td align="left" valign="bottom">0.6 (0.3 – 1.0)<hr></hr></td><td align="left" valign="bottom">0.056<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Anemia</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">402 (54.6)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">334 (45.4)<hr></hr></td><td align="left" valign="bottom">5.6 (3.1 – 10.0)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td><td align="left" valign="bottom">0.9383<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Loss of weight reported at baseline</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">422 (56.1)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">330 (43.9)<hr></hr></td><td align="left" valign="bottom">2.2 (1.4 - 3.4)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td><td align="left" valign="bottom">0.3383<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Variables related to HIV</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>HAART (baseline)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">214 (26.8)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">585 (73.2)<hr></hr></td><td align="left" valign="bottom">1.3 (0.8 - 2.1)<hr></hr></td><td align="left" valign="bottom">0.299<hr></hr></td><td align="left" valign="bottom">0.0055<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>CD4 cell count (time varying)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">≥ 200<hr></hr></td><td align="left" valign="bottom">-<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">< 200<hr></hr></td><td align="left" valign="bottom">-<hr></hr></td><td align="left" valign="bottom">9.1 (5.9 – 14.0)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td><td align="left" valign="bottom">0.5200<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Opportunistic disease reported at baseline</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">405 (50.6)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">395 (49.4)<hr></hr></td><td align="left" valign="bottom">2.0 (1.3 – 3.0)<hr></hr></td><td align="left" valign="bottom">0.001<hr></hr></td><td align="left" valign="bottom">0.1302<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Variables related to tuberculosis</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>AFB sputum smear or </bold><bold><italic>M. Tb </italic></bold><bold>culture during follow-up</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Not performed<hr></hr></td><td align="left" valign="bottom">492 (61.5)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Negative<hr></hr></td><td align="left" valign="bottom">308 (38.5)<hr></hr></td><td align="left" valign="bottom">1.7 (1.1 – 2.5)<hr></hr></td><td align="left" valign="bottom">0.010<hr></hr></td><td align="left" valign="bottom">0.9815<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Chest X-ray</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Normal<hr></hr></td><td align="left" valign="bottom">364 (45.5)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Abnormal<hr></hr></td><td align="left" valign="bottom">154 (19.3)<hr></hr></td><td align="left" valign="bottom">4.0 (2.4 - 6.6)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Not performed<hr></hr></td><td align="left" valign="bottom">282 (35.3)<hr></hr></td><td align="left" valign="bottom">1.7 (1.0 - 2.9)<hr></hr></td><td align="left" valign="bottom">0.045<hr></hr></td><td align="left" valign="bottom">0.0301<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Empirical TB treatment during follow-up</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">629 (78.6)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">171 (21.4)<hr></hr></td><td align="left" valign="bottom">7.3 (4.8 – 11.0)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td><td align="left" valign="bottom">0.8524<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>History of previous TB treatment</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">618 (77.3)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left">Yes</td><td align="left">182 (22.7)</td><td align="left">1.9 (1.2 - 2.9)</td><td align="left">0.003</td><td align="left">0.6722</td></tr></tbody></table></table-wrap><p>The mortality rate was 4.6 per 100 py. Figure <xref ref-type="fig" rid="F2">2</xref> shows the Kaplan-Meier 85.4% probability of survival by the end of the follow-up period (3.9 years), the KM for empirical TB treatment (Yes= 56.2% and No= 93.1%) and the KM for CD4 < 200 cells/mm<sup>3</sup> (52.2%) and CD4 ≥ 200 cells/mm<sup>3</sup> (93.6%).</p><fig id="F2" position="float"><label>Figure 2</label><caption><p><bold>Kaplan Meier estimate for survival probability of PLHIV with Presumptive TB. A)</bold> KM estimate for survival probability of the whole study population with 95% CI and logrank test. <bold>B)</bold> KM estimate for survival probability stratified by empirical treatment for tuberculosis with 95% CI and logrank test. <bold>C)</bold> KM estimate for survival probability stratified by CD4 cell count with 95% CI and logrank test.</p></caption><graphic xlink:href="1471-2458-14-289-2"></graphic></fig><p>The median time of follow-up was 2.8 years. The mortality rate among those with no bacteriology testing was 3.4 per 100 py and among those who presented negative bacteriology tests 6.4 per 100 py. Mortality was higher in those who underwent empirical treatment (16.1 per 100 py), than for those who did not (2.1 per 100 py). The average time from registering a cough until TB treatment was almost six months, and was greater for those who died (183 days) than for those who did not (153 days). However, this was not statistically significant (p = 0.499). We verified that those who did not report a history of previous TB treatment and those who had normal chest X-rays presented a greater average time from the registration of a cough until TB treatment compared with those who reported a history of previous TB treatment and those with abnormal chest X-rays, respectively, and the differences were statistically significant. There was no difference in the average time from registering a cough until TB treatment between patients who did not undergo AFB sputum smear or <italic>M.tb</italic> culture testing during follow-up and those who tested negative.</p><p>Tables <xref ref-type="table" rid="T1">1</xref> and <xref ref-type="table" rid="T2">2</xref> demonstrate the crude association between death and the demographic, socioeconomic and lifestyle variables; variables related to general health, as well as those related to HIV and TB, which were statistically significant at a p value ≤ 0.20.</p><p>Table <xref ref-type="table" rid="T3">3</xref> illustrates the final adjusted model. Risk of death was higher in those with anemia (HR = 2.8), during periods of low CD4 count (HR = 5.1), for those with an abnormal chest X-ray (HR = 1.9) and those receiving empirical treatment for TB (HR = 3.7). Light drinkers presented a lower risk of death compared to abstainers. The proportional-hazards assumption in the final model was respected (phtest = 0.7073).</p><table-wrap position="float" id="T3"><label>Table 3</label><caption><p>Multivariate Cox regression analysis of the association between the variables studied and death of PLHIV complaining of cough, Recife, 2010</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left"> </th><th align="left"><bold>N (%)</bold></th><th align="left"><bold>HR (CI 95%</bold><bold>)</bold></th><th align="left"><bold><italic>P</italic></bold><bold>value</bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom"><bold>Alcohol consumption</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Abstainer<hr></hr></td><td align="left" valign="bottom">497 (63.3)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Light drinker<hr></hr></td><td align="left" valign="bottom">189 (24.1)<hr></hr></td><td align="left" valign="bottom">0.4 (0.2 - 0.9)<hr></hr></td><td align="left" valign="bottom">0.049<hr></hr></td></tr><tr><td align="left" valign="bottom">Heavy drinker<hr></hr></td><td align="left" valign="bottom">99 (12.6)<hr></hr></td><td align="left" valign="bottom">1.0 (0.5 - 1.9)<hr></hr></td><td align="left" valign="bottom">0.907<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Anemia</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">402 (54.6)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">334 (45.4)<hr></hr></td><td align="left" valign="bottom">2.8 (1.5 - 5.3)<hr></hr></td><td align="left" valign="bottom">0.001<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>CD4 cell count (time varying)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">≥ 200<hr></hr></td><td align="left" valign="bottom">---<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">< 200<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">5.1 (3.1 – 8.6)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Chest X-ray</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Normal<hr></hr></td><td align="left" valign="bottom">364 (45.5)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Abnormal<hr></hr></td><td align="left" valign="bottom">154 (19.3)<hr></hr></td><td align="left" valign="bottom">1.9 (1.1 – 3.3)<hr></hr></td><td align="left" valign="bottom">0.001<hr></hr></td></tr><tr><td align="left" valign="bottom">Not performed<hr></hr></td><td align="left" valign="bottom">282 (35.3)<hr></hr></td><td align="left" valign="bottom">1.5 (0.8 – 2.7)<hr></hr></td><td align="left" valign="bottom">0.146<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Empirical TB treatment during follow-up</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">629 (78.6)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left">Yes</td><td align="left">171 (21.4)</td><td align="left">3.7 (2.2 – 6.3)</td><td align="left">0.000</td></tr></tbody></table><table-wrap-foot><p>Phtest (p = 0.7073).</p></table-wrap-foot></table-wrap><p>Table <xref ref-type="table" rid="T4">4</xref> compares those who did and did not receive empirical treatment for TB. Treated subjects were more likely to have characteristics suggestive of severe HIV disease (low CD4, opportunistic infections) and characteristics suggestive of tuberculosis (abnormal chest X-ray, history of TB treatment, bacteriology testing) and characteristics suggestive of both TB and severe HIV: reported weight-loss and anemia.</p><table-wrap position="float" id="T4"><label>Table 4</label><caption><p>Multivariate Logistic regression analysis of the association between the variables studied and empirical TB treatment for PLHIV complaining of cough, Recife, 2010</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left"> </th><th align="left"><bold>Odds ratio (IC 95%</bold><bold>)</bold></th><th align="left"><bold><italic>p</italic></bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom"><bold>CD4 cell count (time varying)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">≥ 200 cel/mm<sup>3</sup><hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold><</bold> 200 cel/mm<sup>3</sup><hr></hr></td><td align="left" valign="bottom">3.0 (1.8 – 4.8)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Anemia</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">3.4 (2.1 – 5.5)<hr></hr></td><td align="left" valign="bottom">0.000<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Loss of weight reported at baseline</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">1.9 (1.2 – 3.0)<hr></hr></td><td align="left" valign="bottom">0.008<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Opportunistic disease reported at baseline</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">2.0 (1.2 – 3.4)<hr></hr></td><td align="left" valign="bottom">0.005<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>History of previous TB treatment</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">2.3 (1.4 – 3.8)<hr></hr></td><td align="left" valign="bottom">0.002<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Chest X-ray</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Normal<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Abnormal<hr></hr></td><td align="left" valign="bottom">2.0 (1.1 – 3.5)<hr></hr></td><td align="left" valign="bottom">0.016<hr></hr></td></tr><tr><td align="left" valign="bottom">No performed<hr></hr></td><td align="left" valign="bottom">0.72 (0.4 – 1.3)<hr></hr></td><td align="left" valign="bottom">0.253<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Sputum smear ABF or </bold><bold><italic>M. tuberculosis </italic></bold><bold>culture during follow-up</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left">Negative</td><td align="left">2.4 (1.5 - 3.8)</td><td align="left">0.000</td></tr></tbody></table></table-wrap><p>It is not demonstrated in the table that 74% of patients with the three characteristics suggestive of TB received empirical treatment, and in this group mortality was not significantly higher in those treated (HR = 1.5; p = 0.590). Less than 10% of those with none of the 3 characteristics suggestive of TB received empirical treatment, which in this group was significantly associated with a marked increase in mortality (HR = 14.3; p <0.001).</p></sec><sec sec-type="discussion"><title>Discussion</title><p>The mortality rate encountered in our study, 4.6 per 100 person-years, was lower than in similar populations in Zimbabwe (17.9/100py) [<xref ref-type="bibr" rid="B17">17</xref>] and South Africa (28.9 per 100 py) [<xref ref-type="bibr" rid="B23">23</xref>]. This could be due to a more frequent use of HAART (73.2% in our study compared to 21.3% in SA). HAART reduces case fatality in smear-negative pulmonary TB [<xref ref-type="bibr" rid="B15">15</xref>].</p><p>Those who underwent bacteriology testing presented a higher mortality rate (1.7 higher) when compared with those who did not, although this was not significant in the multivariate model. The request for bacteriology tests may reflect the strength of the attending physician’s suspicion of tuberculosis, and indicate a higher likelihood of tuberculosis.</p><p>The highest increase in mortality occurred when patients presented a low CD4 cell count (< 200). This is consistent with the literature: advanced immunosuppression was the main risk factor for death in PLHIV with negative bacteriology tests and presumptive TB [<xref ref-type="bibr" rid="B17">17</xref>].</p><p>Chest X-ray investigation is recommended soon after a cough to shorten delays in diagnosis and treatment of smear negative pulmonary TB in PLHIV [<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B24">24</xref>]. In our study, 64.8% of the patients performed a chest X-ray, of which one in three was abnormal. Abnormalities were associated with empirical treatment for TB and were a predictor of death, again in our view, indicating a higher likelihood of tuberculosis.</p><p>We studied smoking, alcohol consumption, and illicit drug use because these factors have been associated with either TB/HIV disease progression or death in PLHIV [<xref ref-type="bibr" rid="B25">25</xref>-<xref ref-type="bibr" rid="B28">28</xref>]. All three were very frequent in our study population but none were associated with death in the multivariate model. Abstemious subjects presented higher mortality, which in our view, is possibly a consequence of ill health.</p><p>Contrary to our expectations, mortality was higher in those who received empirical treatment for TB. If all other factors were the same, we would expect that in patients with cough (used in the study to indicate that they are respiratory symptomatic and thus, with a higher probability of pulmonary TB), empirical TB treatment would have improved prognosis [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B15">15</xref>-<xref ref-type="bibr" rid="B17">17</xref>], particularly in this population with a high HAART uptake since the start of follow-up [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B6">6</xref>].</p><p>To explore this further, we investigated characteristics of those receiving empirical treatment: they had both more characteristics suggesting TB and severe HIV disease. Mortality was not significantly higher in those treated with three characteristics suggestive of TB (abnormal chest X-ray, history of previous TB treatment, AFB sputum smear or <italic>M.tb</italic> culture testing).</p><p>In those without the three characteristics strongly suggestive of TB, mortality was 14 times higher in those receiving empirical treatment. This is consistent with the attending physician being more likely to introduce tuberculosis treatment as a final resource in patients more likely to die. This could either be because there was another cause for the cough or because of severe HIV disease, or both. Empirical treatment was more frequent with a lower CD4 count, anemia, weight loss and those who reported past opportunistic disease. A greater percentage (44.6%) of patients with a CD4 < 200 was treated empirically for TB compared with only 15.5% of patients with a CD4 cell count ≥ 200 (data not shown). Although we performed a control for other predictors of mortality, such as anemia, weight loss, and a low CD4 count, the occurrence of residual confounding is very likely as the measurements were not conducted very frequently: for example, on average, a CD4 count was measured every 6 months. In a similar cohort it would be important to ascertain that other potential diagnoses that may mimic TB had not been overlooked [<xref ref-type="bibr" rid="B3">3</xref>]. Immune reconstitution syndrome could have caused death due to unmasked TB after the initiation of HAART. However, the impact of this on the mortality rate in this cohort was probably diminished by the small number of patients who had used HAART for less than one year.</p><p>Empirical treatment for TB may have been introduced too late to prevent death, especially among those patients who presented normal chest X-rays and did not report a history of previous TB treatment. These findings reinforce the need to speed up TB diagnosis and treatment among those with presumptive TB and AFB sputum smear negative [<xref ref-type="bibr" rid="B19">19</xref>].</p><p>At the time of data collection there was no internationally accepted symptoms score system based on evidence for diagnosing negative sputum pulmonary TB in PLHIV [<xref ref-type="bibr" rid="B29">29</xref>], and treatment, based on clinical judgment, was introduced on average, 6 months after a cough was registered. To identify an optimum standardized rule for TB screening among PLHIV, a meta-analysis of observational studies found that the presence of at least one of the symptoms: cough of any duration, fever, night sweats and weight loss, had a sensitivity of 78.9% to identify TB in PLHIV. Abnormal chest X-ray findings increased sensitivity by 11% [<xref ref-type="bibr" rid="B29">29</xref>]. This evidence underlies the WHO recommendation to introduce screening for TB in the routine care of PLHIV [<xref ref-type="bibr" rid="B19">19</xref>].</p><p>One limitation of our study concerns that of observational studies to evaluate the effectiveness of empirical treatment for TB, which was initiated by physicians during routine care within the health services. Besides this, the empirical treatment for TB did not follow a well-defined protocol for screening TB, which would have ensured the early introduction of TB treatment, and also avoid the misdiagnosis of other opportunistic diseases that could present with cough. Furthermore, data on opportunistic diseases were collected only at baseline and not during the follow-up period.</p><p>Observation studies on empirical TB treatment should be used to evaluate the processes involved, e.g., prescribing practices, completeness of treatment, but not to evaluate the impact of empirical treatment for TB, since there is very strong residual confounding and the impact cannot be evaluated accurately. Even so, we believe that it is very important to reveal our results because, probably, this is a very common situation in many settings, especially in the developing world where the presumptive diagnosis of TB in PLHIV occurs extensively.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>In this routine setting, the large majority of PLHIV with strong indications of presenting with tuberculosis were receiving empirical treatment, although late. Their mortality was still a little higher than those with strong indications of TB who did not receive treatment, but this could result from the stronger likelihood for them to present with tuberculosis. Mortality was not significantly higher in those patients empirically treated for TB, who presented three characteristics suggestive of the disease (abnormal chest X-ray, history of TB treatment, AFB sputum smear or <italic>M.tb</italic> culture testing). Those with strong indications of advanced HIV diseases were more likely to receive empirical TB treatment (even when presenting fewer indications of tuberculosis); those receiving treatment in this group had a marked increase in mortality, which most likely resulted from their advanced HIV disease, and possibly from other causes for the cough. Although we performed a control for the CD4 cell count in the analysis, we believe that severe HIV disease was a very strong confounder of the association between empirical TB treatment and mortality.</p></sec><sec><title>Competing interests</title><p>The authors declare that they have no competing interests.</p></sec><sec><title>Authors’ contributions</title><p>MFPMA conceived and designed the study. MFPMA, IC, JDLB, MM, RAAX, HLR and DBMF performed the study. IC and JDLB prepared the database. MFPMA, RAAX, JDLB and LCR analyzed the data. MFPMA, RAAX, HLR and DBMF contributed reagents/materials/analysis tools. MFPMA, RAAX and LCR wrote the paper. LCR discussed the study design and participated in the analysis. All authors read and approved the final manuscript.</p></sec><sec><title>Pre-publication history</title><p>The pre-publication history for this paper can be accessed here:</p><p><ext-link ext-link-type="uri" xlink:href="http://www.biomedcentral.com/1471-2458/14/289/prepub">http://www.biomedcentral.com/1471-2458/14/289/prepub</ext-link></p></sec></body><back><sec><title>Acknowledgements</title><p>This research was funded by Ministério da Saúde/Programa DST/AIDS/UNESCO (CSV 182/06 - Projeto “Estudo Clínico-Epidemiológico da co-infecção HIV/Tuberculose em Recife”). 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