Correlates of Delayed Diagnosis among Human Immunodeficiency Virus-Infected Pulmonary Tuberculosis Suspects in a Rural HIV Clinic, South Africa
Identifieur interne : 002D02 ( Pmc/Corpus ); précédent : 002D01; suivant : 002D03Correlates of Delayed Diagnosis among Human Immunodeficiency Virus-Infected Pulmonary Tuberculosis Suspects in a Rural HIV Clinic, South Africa
Auteurs : Respicious Boniface ; Mosa Moshabela ; Rose Zulliger ; Peter Macpherson ; Peter NyasuluSource :
- Tuberculosis Research and Treatment [ 2090-150X ] ; 2012.
Abstract
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DOI: 10.1155/2012/827148
PubMed: 22778946
PubMed Central: 3384891
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Correlates of Delayed Diagnosis among Human Immunodeficiency Virus-Infected Pulmonary Tuberculosis Suspects in a Rural HIV Clinic, South Africa</title><author><name sortKey="Boniface, Respicious" sort="Boniface, Respicious" uniqKey="Boniface R" first="Respicious" last="Boniface">Respicious Boniface</name><affiliation><nlm:aff id="I1">Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</nlm:aff></affiliation></author><author><name sortKey="Moshabela, Mosa" sort="Moshabela, Mosa" uniqKey="Moshabela M" first="Mosa" last="Moshabela">Mosa Moshabela</name><affiliation><nlm:aff id="I1">Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</nlm:aff></affiliation></author><author><name sortKey="Zulliger, Rose" sort="Zulliger, Rose" uniqKey="Zulliger R" first="Rose" last="Zulliger">Rose Zulliger</name><affiliation><nlm:aff id="I2">Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town 7925, South Africa</nlm:aff></affiliation></author><author><name sortKey="Macpherson, Peter" sort="Macpherson, Peter" uniqKey="Macpherson P" first="Peter" last="Macpherson">Peter Macpherson</name><affiliation><nlm:aff id="I3">Liverpool School of Tropical Medicine, Liverpool L35 QA, UK</nlm:aff></affiliation><affiliation><nlm:aff id="I4">Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi</nlm:aff></affiliation></author><author><name sortKey="Nyasulu, Peter" sort="Nyasulu, Peter" uniqKey="Nyasulu P" first="Peter" last="Nyasulu">Peter Nyasulu</name><affiliation><nlm:aff id="I1">Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22778946</idno><idno type="pmc">3384891</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384891</idno><idno type="RBID">PMC:3384891</idno><idno type="doi">10.1155/2012/827148</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">002D02</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002D02</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Correlates of Delayed Diagnosis among Human Immunodeficiency Virus-Infected Pulmonary Tuberculosis Suspects in a Rural HIV Clinic, South Africa</title><author><name sortKey="Boniface, Respicious" sort="Boniface, Respicious" uniqKey="Boniface R" first="Respicious" last="Boniface">Respicious Boniface</name><affiliation><nlm:aff id="I1">Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</nlm:aff></affiliation></author><author><name sortKey="Moshabela, Mosa" sort="Moshabela, Mosa" uniqKey="Moshabela M" first="Mosa" last="Moshabela">Mosa Moshabela</name><affiliation><nlm:aff id="I1">Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</nlm:aff></affiliation></author><author><name sortKey="Zulliger, Rose" sort="Zulliger, Rose" uniqKey="Zulliger R" first="Rose" last="Zulliger">Rose Zulliger</name><affiliation><nlm:aff id="I2">Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town 7925, South Africa</nlm:aff></affiliation></author><author><name sortKey="Macpherson, Peter" sort="Macpherson, Peter" uniqKey="Macpherson P" first="Peter" last="Macpherson">Peter Macpherson</name><affiliation><nlm:aff id="I3">Liverpool School of Tropical Medicine, Liverpool L35 QA, UK</nlm:aff></affiliation><affiliation><nlm:aff id="I4">Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi</nlm:aff></affiliation></author><author><name sortKey="Nyasulu, Peter" sort="Nyasulu, Peter" uniqKey="Nyasulu P" first="Peter" last="Nyasulu">Peter Nyasulu</name><affiliation><nlm:aff id="I1">Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</nlm:aff></affiliation></author></analytic><series><title level="j">Tuberculosis Research and Treatment</title><idno type="ISSN">2090-150X</idno><idno type="eISSN">2090-1518</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><italic>Background. </italic>Delay in pulmonary tuberculosis (PTB) diagnosis is one of the major factors that affect outcome and threatens continued spread of tuberculosis. This study aimed at determining factors associated with delayed PTB diagnosis among human immunodeficiency virus (HIV) infected individuals. <italic>Methods. </italic>A retrospective observational study was done using clinic records of HIV-infected PTB suspects attending an HIV/AIDS clinic at Tintswalo rural hospital in South Africa (SA) between January 2006 and December 2007. Using routine clinic registers, 480 records were identified. <italic>Results. </italic>PTB diagnosis delay was found among 77/176 (43.8%) of the patients diagnosed with PTB. The mean delay of PTB diagnosis was 170.6 days; diagnosis delay ranged 1–30 days in 27 (35.1%) patients, 31–180 days in 24 (33.8%) patients; 24 (31.2%) patients remained undiagnosed for ≥180 days. Independent factors associated with delayed diagnosis were: older age >40 years (Odds Ratio (OR) 3.43, 95% CI 1.45–8.08) and virological failure (OR 2.72, 95% CI 1.09–6.74). <italic>Conclusion. </italic>There is a considerable delayed PTB diagnosis among HIV-infected patients in rural SA. Older patients as well as patients with high viral load are at a higher risk of PTB diagnosis delay. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Tuberc Res Treat</journal-id><journal-id journal-id-type="iso-abbrev">Tuberc Res Treat</journal-id><journal-id journal-id-type="publisher-id">TRT</journal-id><journal-title-group><journal-title>Tuberculosis Research and Treatment</journal-title></journal-title-group><issn pub-type="ppub">2090-150X</issn><issn pub-type="epub">2090-1518</issn><publisher><publisher-name>Hindawi Publishing Corporation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22778946</article-id><article-id pub-id-type="pmc">3384891</article-id><article-id pub-id-type="doi">10.1155/2012/827148</article-id><article-categories><subj-group subj-group-type="heading"><subject>Clinical Study</subject></subj-group></article-categories><title-group><article-title>Correlates of Delayed Diagnosis among Human Immunodeficiency Virus-Infected Pulmonary Tuberculosis Suspects in a Rural HIV Clinic, South Africa</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Boniface</surname><given-names>Respicious</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Moshabela</surname><given-names>Mosa</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Zulliger</surname><given-names>Rose</given-names></name><xref ref-type="aff" rid="I2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>MacPherson</surname><given-names>Peter</given-names></name><xref ref-type="aff" rid="I3"><sup>3</sup></xref><xref ref-type="aff" rid="I4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Nyasulu</surname><given-names>Peter</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1">*</xref></contrib></contrib-group><aff id="I1"><sup>1</sup>Epidemiology and Biostatistics Division, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa</aff><aff id="I2"><sup>2</sup>Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town 7925, South Africa</aff><aff id="I3"><sup>3</sup>Liverpool School of Tropical Medicine, Liverpool L35 QA, UK</aff><aff id="I4"><sup>4</sup>Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi</aff><author-notes><corresp id="cor1">*Peter Nyasulu: <email>peter.nyasulu@wits.ac.za</email></corresp><fn fn-type="other"><p>Academic Editor: Luis E. Cuevas</p></fn></author-notes><pub-date pub-type="ppub"><year>2012</year></pub-date><pub-date pub-type="epub"><day>13</day><month>6</month><year>2012</year></pub-date><volume>2012</volume><elocation-id>827148</elocation-id><history><date date-type="received"><day>5</day><month>11</month><year>2011</year></date><date date-type="rev-recd"><day>19</day><month>2</month><year>2012</year></date><date date-type="accepted"><day>16</day><month>4</month><year>2012</year></date></history><permissions><copyright-statement>Copyright © 2012 Respicious Boniface et al.</copyright-statement><copyright-year>2012</copyright-year><license xlink:href="https://creativecommons.org/licenses/by/3.0/"><license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><p><italic>Background. </italic>Delay in pulmonary tuberculosis (PTB) diagnosis is one of the major factors that affect outcome and threatens continued spread of tuberculosis. This study aimed at determining factors associated with delayed PTB diagnosis among human immunodeficiency virus (HIV) infected individuals. <italic>Methods. </italic>A retrospective observational study was done using clinic records of HIV-infected PTB suspects attending an HIV/AIDS clinic at Tintswalo rural hospital in South Africa (SA) between January 2006 and December 2007. Using routine clinic registers, 480 records were identified. <italic>Results. </italic>PTB diagnosis delay was found among 77/176 (43.8%) of the patients diagnosed with PTB. The mean delay of PTB diagnosis was 170.6 days; diagnosis delay ranged 1–30 days in 27 (35.1%) patients, 31–180 days in 24 (33.8%) patients; 24 (31.2%) patients remained undiagnosed for ≥180 days. Independent factors associated with delayed diagnosis were: older age >40 years (Odds Ratio (OR) 3.43, 95% CI 1.45–8.08) and virological failure (OR 2.72, 95% CI 1.09–6.74). <italic>Conclusion. </italic>There is a considerable delayed PTB diagnosis among HIV-infected patients in rural SA. Older patients as well as patients with high viral load are at a higher risk of PTB diagnosis delay. Therefore efforts to reduce PTB diagnosis delay need to emphasised.</p></abstract></article-meta></front><body><sec id="sec1"><title>1. Background</title><p>An estimated one-third of the world's population is infected with tuberculosis (TB) [<xref rid="B1" ref-type="bibr">1</xref>]. The human immunodeficiency virus (HIV) pandemic has resulted in dramatic increases in TB case notification rates, particularly in resource-limited settings [<xref rid="B2" ref-type="bibr">2</xref>]. This is because people living with HIV have a much greater risk of developing active TB than HIV-uninfected individuals [<xref rid="B3" ref-type="bibr">3</xref>]. South Africa is one of the countries most heavily affected by the dual HIV and TB epidemics [<xref rid="B4" ref-type="bibr">4</xref>], with an estimated 31% of all global TB cases occurring among HIV-positive individuals [<xref rid="B5" ref-type="bibr">5</xref>]. For example, in Gugulethu, a township in Cape Town, over half of antiretroviral therapy (ART) clinic attendees had previously been treated for TB, one-quarter were diagnosed with active TB, and a further 10% developed TB during the first year following initiation onto lifelong ART [<xref rid="B6" ref-type="bibr">6</xref>].</p><p>In resource-limited settings, where the majority of HIV-TB cases occur, TB diagnostics are frequently limited to sputum smear microscopy, despite the increased likelihood of smear negative disease among immunosuppressed patients [<xref rid="B7" ref-type="bibr">7</xref>]. This scenario complicates TB diagnosis and frequently results in delay in TB diagnosis in HIV-infected patients [<xref rid="B8" ref-type="bibr">8</xref>]. This delayed detection often leads to increased mortality and treatment complications for patients [<xref rid="B9" ref-type="bibr">9</xref>]. In addition, undiagnosed TB in patients starting ART may result in symptomatic immune reconstitution inflammatory syndrome during early ART phase because of unmasking of TB disease by ART [<xref rid="B10" ref-type="bibr">10</xref>]. We have previously reported on high mortality due to TB among ART initiators in this community [<xref rid="B11" ref-type="bibr">11</xref>]. Reducing delays in PTB diagnosis could improve patients' health outcomes and minimise public risk of exposure to TB in the community. The purpose of this study was to investigate factors associated with the delay in TB diagnosis among HIV patients following entry into public sector HIV services in rural South Africa.</p></sec><sec id="sec2"><title>2. Methods</title><sec id="sec2.1"><title>2.1. Study Setting</title><p>This study was conducted at Rixile Clinic, a dedicated nongovernmental-organisation-(NGO-) supported, rural HIV clinic situated at Tintswalo hospital in Bushbuckridge, Mpumalanga, South Africa. Three HIV-trained doctors and six primary health care nurses provide comprehensive care for HIV patients at the clinic, including provision of ART, and screening for and management of TB, opportunistic infections, and sexually transmitted infections. The clinic was accredited for provision of ART in October 2005. Since then more than 2,000 individuals have been initiated on ART. Bushbuckridge is a densely populated rural area with a population of approximately 600,000 people living in 133 villages. The region is one of 13 rural nodal areas of extreme poverty in South Africa.</p></sec><sec id="sec2.2"><title>2.2. Study Design</title><p> This was a retrospective cohort study of PTB suspects at Rixile Clinic. Data were extracted from the ART clinic records of patients identified as PTB suspects from the PTB suspects register over a two-year period from January 2006 to December 2007. </p></sec><sec id="sec2.3"><title>2.3. Study Population</title><p> The study population was comprised of adults (18 years and older) at the time of identification as a PTB suspect and with confirmed HIV infection. All patients had attended the Rixile clinic at least once. PTB suspects were defined as patients who were provided with sputum jars for Acid-Fast Bacilli screening for PTB. </p></sec><sec id="sec2.4"><title>2.4. Data Collection and Management</title><p> Trained research assistants extracted data from the PTB suspects register and from patients' ART clinic medical records using a structured data collection tool. Data were abstracted on the following variables: sociodemographic factors, presenting symptoms, timing, and results of TB investigations, diagnosis category, date and regimen of TB treatment initiated, and details of HIV treatment, including ART initiation. Data were double-entered into Epi info version 3.5.1 (CDC, Atlanta, USA). Statistical analyses were conducted using STATA version 11 (Statacorp, College Station, USA). </p></sec><sec id="sec2.5"><title>2.5. Definition of TB Diagnosis Delay</title><p>TB diagnostic delay was defined as any diagnosis taking longer than 56 days from the time of requesting the first sputum examination. Although this definition is unconventional, it allows for the time required to complete all diagnostic examinations, including sputum culture, which is routinely requested among HIV-positive TB suspects with smear-negative results attending services at Rixile HIV clinic [<xref rid="B12" ref-type="bibr">12</xref>].</p></sec><sec id="sec2.6"><title>2.6. Statistical Analysis</title><p> Frequency distributions were used to describe categorical variables, and medians and interquartile ranges were used for continuous variables. The dependent variable diagnosis delay was categorized as a dichotomous variable (delay or nodelay). Bivariate associations were described using Chi-square tests. Variables that demonstrated significant association (<italic>P</italic> ≤ 0.1) with TB diagnosis delay were entered into a multivariate Cox proportional hazards regression model. </p></sec><sec id="sec2.7"><title>2.7. Ethical Consideration</title><p> Ethical approval for the study was obtained from the University of Witwatersrand Human Research Ethics Committee. Individual informed consent was not undertaken as the study used routinely collected clinic data.</p></sec></sec><sec id="sec3"><title>3. Results</title><p>In the two-year study period, 630 individuals were identified as PTB suspects and recorded in the PTB suspect register. Sixty-two were excluded for the following reasons: 4 were younger than 18 years old, 42 did not return their sputum jars and did not attend any subsequent review, 1 had extra pulmonary TB, and there was no information on the outcome of TB diagnosis for 15 patients. Eighty-five patients' medical records were missing and 31 were duplicates. Thus, a total of 452 PTB suspects were included in the study. <xref ref-type="fig" rid="fig1"> Figure 1</xref> summarizes the patients' inclusion cascade.</p><p>The demographic information of the 452 patients included in the preliminary analysis is summarized in <xref ref-type="table" rid="tab1">Table 1</xref>. The ages of the patients ranged from 23 to 96 years old with a median age of 41 years (interquartile range (IQR) = 35–49). Seventy percent (316/452) of the participants were women; 175/446 (39.2%) were not married, 191/447 (42.7%) had attended primary school only, and more than half 403/449 (89.7%) were unemployed. </p><sec id="sec3.1"><title>3.1. PTB Cases Diagnosed</title><p>Of the 452 PTB suspects, 162 (35.8%) PTB cases were diagnosed. Of those diagnosed with PTB, 40 (24.7%) were diagnosed on the basis of sputum smear positivity, 84 (51.9%) through positive sputum culture, and 38 (23.5%) through chest radiograph.</p></sec><sec id="sec3.2"><title>3.2. Outcomes of PTB Treatment</title><p>Out of the 162 patients diagnosed with PTB and started on TB treatment, 86 (53.1%) completed treatment, 14 (8.6%) died, 34 (21.0%) were lost to follow up, and 28 (17.3%) were still on treatment at time of data extraction. </p></sec><sec id="sec3.3"><title>3.3. Delay in Diagnosis of PTB</title><p>The median delay from presentation with PTB symptoms to PTB diagnosis was 55 days (IQR = 20–302). Delay in diagnosis of PTB of more than 56 days was observed among 78 (48.2%) of the 162 patients diagnosed with PTB. The overall delay was 57 to 86 days in 27 (34.6%), 87 to 223 days in 26 (33.3%), and >236 days in 25 (32.1%) of the patients diagnosed with PTB. The diagnosis was made by clinical history plus chest X-ray for 19 of the 78 (24.7%) and by sputum smear microscopy for 12 (15.4%) The majority of patients with diagnostic delay had their diagnosis made by sputum culture 47/78 (60.3%) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p></sec><sec id="sec3.4"><title>3.4. Factors Associated with TB Diagnosis Delay</title><p>Univariate analysis showed patient's age (<italic>P</italic> = 0.006), method of TB diagnosis (<italic>P</italic> = 0.025), detectable HIV viral load (<italic>P</italic> = 0.025), and ART use at the time of PTB diagnosis (<italic>P</italic> ≤ 0.001), to be significantly associated with TB diagnosis delay (<xref ref-type="table" rid="tab3">Table 3</xref>). Age, viral load and ART use at the time of PTB diagnosis remained statistically significant in the multivariate analysis. Patients who were older than 40 years had a 1.57 times greater risk of TB diagnostic delay than those aged 18–40 years. The risk of TB diagnostic delay was 1.89 times greater in those with HIV viral load ≥400 copies/mL than patients with HIV viral load ≤400 copies/mL; however the observed association was not statistically significant <italic>P</italic> = 0.06. Those who were on ART at the time of PTB diagnosis were 51% less likely to have experienced diagnostic delay than those who were not on ART (<xref ref-type="table" rid="tab4">Table 4</xref>).</p></sec></sec><sec id="sec4"><title>4. Discussion</title><p>A large proportion of PTB patients experienced diagnostic delays of greater than 56 days. These findings have important implications for informing current Stop-TB efforts aimed at reducing global TB incidence and mortality. TB diagnosis delay was associated with viral load ≥400 copies/mL. Delayed detection leads to patients presenting with advanced TB which promotes HIV/AIDS disease progression by accelerating viral multiplication [<xref rid="B13" ref-type="bibr">13</xref>].</p><p>TB diagnostic delay was significantly associated with patient's age. Older patients (>40 years) were at a much higher risk of TB diagnostic delay compared with those younger than 40 years. This is likely to be due to coexisting medical conditions in the elderly persons such as heart diseases and chronic chest problems, all of which may contribute to the difficulty of diagnosing TB and can thus result in delayed diagnosis and treatment [<xref rid="B14" ref-type="bibr">14</xref>, <xref rid="B15" ref-type="bibr">15</xref>]. </p><p>The majority of patients with diagnostic delay in this study (60.3%) were diagnosed with PTB by sputum culture. This may be because the study was conducted among HIV-infected patients, and studies have reported reduced diagnostic sensitivity of sputum smears and chest radiography in HIV infected patients [<xref rid="B7" ref-type="bibr">7</xref>]. Given the high percentage of patients diagnosed by TB culture, these findings support the practice of regular sputum culture tests to confirm sputum negative smears in ART clinics. Those who were not on ART at the time of PTB diagnosis were more likely to have delayed diagnosis than those who were on ART. ART unmasks TB in HIV-infected patients with subclinical disease making it easier to detect and diagnose [<xref rid="B10" ref-type="bibr">10</xref>]. </p><p>There are several factors that have been reported from previous studies that influences delay in TB diagnosis. These could be patient, clinician, or health system related. Patient-related factors include choice of health care provider, stigma, alcoholism, substance abuse, general state of poor health, tobacco smoking, and chronic cough with blood-stained sputum [<xref rid="B16" ref-type="bibr">16</xref>–<xref rid="B26" ref-type="bibr">26</xref>]. Clinician-related factors include: poor training of clinical personnel in TB diagnosis, low level of TB awareness among private practitioners, and lack of knowledge of TB diagnosis among traditional healers [<xref rid="B20" ref-type="bibr">20</xref>, <xref rid="B22" ref-type="bibr">22</xref>, <xref rid="B24" ref-type="bibr">24</xref>–<xref rid="B29" ref-type="bibr">29</xref>]. Health system factors that play a role in delayed TB diagnosis include lack of diagnostic facilities and low access to health care services [<xref rid="B26" ref-type="bibr">26</xref>, <xref rid="B30" ref-type="bibr">30</xref>].</p><p>High viral load is a clinical indicator of declining immunological function of an HIV-infected individual which makes them to be at higher risk of developing active TB. In this era of ongoing HIV epidemic, diagnosis and clinical management of active TB poses a major challenge in patients with dual infection [<xref rid="B31" ref-type="bibr">31</xref>]. Due to immunosuppression, there is lack of pulmonary cavitations resulting in low bacillary concentration in sputum giving rise to high rate of negative sputum smear for AFB as well as negative chest radiographic findings. This has led to an over reliance of TB diagnosis through sputum culture which is an expensive and slow diagnostic method [<xref rid="B32" ref-type="bibr">32</xref>, <xref rid="B33" ref-type="bibr">33</xref>]. This could be the reason why our study showed that a positive relationship exists between diagnostic delay and decline in immune function (viral load >400 copies/mL).</p><p>In considering the findings of this study it is important to bear in mind the following limitations: firstly, as this cohort was recruited from an ART clinic, they may have some differences in characteristics to those participants in hospitals, public health clinics, and the general community. Secondly, the study population did not include PTB suspects who were younger than 18 years, and 85 patients were excluded due to missing medical records. It is possible that some in both groups had active TB. Thirdly, accuracy of interpretation of routinely offered TB diagnostic tests (sputum smear and chest radiographs) depends on the skills and experience of the attending clinician. Interpretation of these tests is often subjective and prone to error; hence some of the results might have been incorrect. Fourthly, some patients in this cohort 42/630 (6.7%) did not return their sputum jars (lost to follow-up) and, therefore, were not investigated for AFB. It is possible that some of these patients had TB or had died of TB. Lastly we did not have data documenting the duration of TB symptoms prior to presenting at a health facility, therefore we would not know length of diagnosis delay attributed to TB patient's health seeking behaviour. The exclusion of patients who were lost-to-follow-up and the definition of delay from presentation at health system, rather than start of symptoms, make these findings conservative as the true proportion of patients experiencing diagnosis delays would be higher than what has been reported in this study.</p></sec><sec id="sec5"><title>5. Conclusion</title><p>The diagnostic delays for PTB demonstrated in this study, as well as the difficulty of diagnosing TB in HIV-infected patients, point to the need for improved screening of TB suspects in ART clinics. Novel TB diagnostic methods such as Gene-Xpert, which are rapid, highly sensitive, and specific, should be promoted in primary health care facilities in order to ensure the timely diagnosis of PTB. </p></sec></body><back><ack><title>Authors' Contribution</title><p>M. Moshabela, R. Zulliger, and P. Nyasulu conceived and designed the study. R. Boniface undertook the data collection and statistical analysis and wrote the first draft of the manuscript. All authors contributed in intellectual content and approved the final manuscript.</p></ack><ack><title>Conflict of Interests</title><p> The authors have no conflict of interest to declare.</p></ack><ack><title>Acknowledgments</title><p>The authors would like to thank all the staff of Rixile HIV clinic and the management of Tintswalo Hospital for their cooperation. The contribution of Ilona Sips in the draft of the paper is greatly appreciated. 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pub-id-type="pmid">21996698</pub-id></element-citation></ref></ref-list></back><floats-group><fig id="fig1" orientation="portrait" position="float"><label>Figure 1</label><caption><p>Cohort Flowchart **4 younger than 18 years, 1 with extrapulmonary TB, 58 with no AFB investigation requested. ***31 observations were duplicates ****8 with negative time interval to TB diagnosis, 2 with time interval to TB diagnosis >4 years, 3 with missing TB diagnosis date.</p></caption><graphic xlink:href="TRT2012-827148.001"></graphic></fig><table-wrap id="tab1" orientation="portrait" position="float"><label>Table 1</label><caption><p>Socioeconomic characteristics of study participants.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Characteristic</th><th align="center" rowspan="1" colspan="1">N</th><th align="center" rowspan="1" colspan="1"> (%)</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Marital status</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Divorced</td><td align="center" rowspan="1" colspan="1">81</td><td align="center" rowspan="1" colspan="1">18.2</td></tr><tr><td align="left" rowspan="1" colspan="1"> Married</td><td align="center" rowspan="1" colspan="1">131</td><td align="center" rowspan="1" colspan="1">29.4</td></tr><tr><td align="left" rowspan="1" colspan="1"> Never married</td><td align="center" rowspan="1" colspan="1">175</td><td align="center" rowspan="1" colspan="1">39.2</td></tr><tr><td align="left" rowspan="1" colspan="1"> Widowed</td><td align="center" rowspan="1" colspan="1">59</td><td align="center" rowspan="1" colspan="1">13.2</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">446</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="left" rowspan="1" colspan="1">Education level</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No education</td><td align="center" rowspan="1" colspan="1">90</td><td align="center" rowspan="1" colspan="1">20.1</td></tr><tr><td align="left" rowspan="1" colspan="1"> Primary</td><td align="center" rowspan="1" colspan="1">191</td><td align="center" rowspan="1" colspan="1">42.8</td></tr><tr><td align="left" rowspan="1" colspan="1"> Secondary</td><td align="center" rowspan="1" colspan="1">152</td><td align="center" rowspan="1" colspan="1">34.0</td></tr><tr><td align="left" rowspan="1" colspan="1"> Tertiary</td><td align="center" rowspan="1" colspan="1">14</td><td align="center" rowspan="1" colspan="1">3.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">447</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="left" rowspan="1" colspan="1">Occupation status</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Salaried worker</td><td align="center" rowspan="1" colspan="1">46</td><td align="center" rowspan="1" colspan="1">10.3</td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed and willing to work</td><td align="center" rowspan="1" colspan="1">142</td><td align="center" rowspan="1" colspan="1">31.6</td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed and not willing to work</td><td align="center" rowspan="1" colspan="1">261</td><td align="center" rowspan="1" colspan="1">58.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">449</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="left" rowspan="1" colspan="1">Cigarette smoker</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No</td><td align="center" rowspan="1" colspan="1">359</td><td align="center" rowspan="1" colspan="1">80.7</td></tr><tr><td align="left" rowspan="1" colspan="1"> Yes</td><td align="center" rowspan="1" colspan="1">86</td><td align="center" rowspan="1" colspan="1">19.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">445</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="left" rowspan="1" colspan="1">Alcohol drinker</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No</td><td align="center" rowspan="1" colspan="1">355</td><td align="center" rowspan="1" colspan="1">79.9</td></tr><tr><td align="left" rowspan="1" colspan="1"> Yes</td><td align="center" rowspan="1" colspan="1">89</td><td align="center" rowspan="1" colspan="1">20.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">444</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="left" rowspan="1" colspan="1">Main material walls of house</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Block cement</td><td align="center" rowspan="1" colspan="1"> 229</td><td align="center" rowspan="1" colspan="1">51.0</td></tr><tr><td align="left" rowspan="1" colspan="1"> Brick</td><td align="center" rowspan="1" colspan="1"> 115</td><td align="center" rowspan="1" colspan="1">25.6</td></tr><tr><td align="left" rowspan="1" colspan="1"> Mud</td><td align="center" rowspan="1" colspan="1">105</td><td align="center" rowspan="1" colspan="1">23.4</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1"> 449</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="left" rowspan="1" colspan="1">People in households</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 1 to 5</td><td align="center" rowspan="1" colspan="1">239</td><td align="center" rowspan="1" colspan="1">53.1</td></tr><tr><td align="left" rowspan="1" colspan="1"> 6 to 10</td><td align="center" rowspan="1" colspan="1">187</td><td align="center" rowspan="1" colspan="1">41.6</td></tr><tr><td align="left" rowspan="1" colspan="1"> >10</td><td align="center" rowspan="1" colspan="1">24</td><td align="center" rowspan="1" colspan="1">5.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">450</td><td align="center" rowspan="1" colspan="1">100.0</td></tr></tbody></table><table-wrap-foot><fn><p>N: number of study participants in each variable.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tab2" orientation="portrait" position="float"><label>Table 2</label><caption><p>Diagnosis delay duration by method of diagnosis.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Method of TB diagnosis</th><th align="center" rowspan="1" colspan="1">57 to 86 days delay <sup>∗∗</sup>N (%)</th><th align="center" rowspan="1" colspan="1">87 to 236 days delay <sup>∗∗</sup>N (%)</th><th align="center" rowspan="1" colspan="1">>236 days delay <sup>∗∗</sup>N (%)</th><th align="center" rowspan="1" colspan="1">Total Number (%)</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Clinical history and chest X-ray</td><td align="center" rowspan="1" colspan="1">4 (15.3)</td><td align="center" rowspan="1" colspan="1">5 (19.2)</td><td align="center" rowspan="1" colspan="1">10 (40)</td><td align="center" rowspan="1" colspan="1">19 (24.7)</td><td align="center" rowspan="4" colspan="1">0.016</td></tr><tr><td align="left" rowspan="1" colspan="1">Sputum smear positive</td><td align="center" rowspan="1" colspan="1">3 (11.5)</td><td align="center" rowspan="1" colspan="1">2 (7.7)</td><td align="center" rowspan="1" colspan="1">7 (28)</td><td align="center" rowspan="1" colspan="1">12 (15.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">Sputum culture</td><td align="center" rowspan="1" colspan="1">20 (74.1)</td><td align="center" rowspan="1" colspan="1">19 (73.1)</td><td align="center" rowspan="1" colspan="1">8 (32)</td><td align="center" rowspan="1" colspan="1">47 (60.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1">27 (100)</td><td align="center" rowspan="1" colspan="1">26 (100)</td><td align="center" rowspan="1" colspan="1">25 (100)</td><td align="center" rowspan="1" colspan="1">78 (100)</td></tr></tbody></table><table-wrap-foot><fn><p><sup>∗∗</sup>N: number of TB patients diagnosed within each time duration.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tab3" orientation="portrait" position="float"><label>Table 3</label><caption><p>Comparison of sociodemographic and clinical factors of participants with TB diagnosis delay.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Characteristic</th><th align="center" rowspan="1" colspan="1">Diagnosis delay number (%)</th><th align="center" rowspan="1" colspan="1">No delay number (%)</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Patient age</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 18 to 40 years</td><td align="center" rowspan="1" colspan="1">33 (42.9)</td><td align="center" rowspan="1" colspan="1">54 (64.3)</td><td align="center" rowspan="2" colspan="1"> 0.006<sup>∗∗</sup></td></tr><tr><td align="left" rowspan="1" colspan="1"> >40 years</td><td align="center" rowspan="1" colspan="1">44 (57.1)</td><td align="center" rowspan="1" colspan="1">30 (35.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Sex</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Female</td><td align="center" rowspan="1" colspan="1">49 (62.9)</td><td align="center" rowspan="1" colspan="1">58 (69.0)</td><td align="center" rowspan="2" colspan="1">0.403</td></tr><tr><td align="left" rowspan="1" colspan="1"> Male</td><td align="center" rowspan="1" colspan="1">29 (37.1)</td><td align="center" rowspan="1" colspan="1">26 (31.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Marital status</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Divorced</td><td align="center" rowspan="1" colspan="1">13 (16.9)</td><td align="center" rowspan="1" colspan="1">13 (15.4)</td><td align="center" rowspan="4" colspan="1">0.592</td></tr><tr><td align="left" rowspan="1" colspan="1"> Married</td><td align="center" rowspan="1" colspan="1">25 (32.5)</td><td align="center" rowspan="1" colspan="1">21 (25.0)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Never married</td><td align="center" rowspan="1" colspan="1">27 (35.1)</td><td align="center" rowspan="1" colspan="1">38 (45.2)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Widowed</td><td align="center" rowspan="1" colspan="1">12 (15.5)</td><td align="center" rowspan="1" colspan="1">12 (14.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Occupation status</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Salaried worker</td><td align="center" rowspan="1" colspan="1">9 (11.7)</td><td align="center" rowspan="1" colspan="1">7 (8.3)</td><td align="center" rowspan="2" colspan="1">0.538</td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed and willing to work</td><td align="center" rowspan="1" colspan="1">21 (27.3)</td><td align="center" rowspan="1" colspan="1">29 (34.5)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed and not willing to work</td><td align="center" rowspan="1" colspan="1">47 (61.0)</td><td align="center" rowspan="1" colspan="1">48 (57.2)</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Smoke cigarette</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No</td><td align="center" rowspan="1" colspan="1">57 (74.0)</td><td align="center" rowspan="1" colspan="1">66 (78.6)</td><td align="center" rowspan="2" colspan="1">0.410</td></tr><tr><td align="left" rowspan="1" colspan="1"> Yes</td><td align="center" rowspan="1" colspan="1">20 (26.0)</td><td align="center" rowspan="1" colspan="1">18 (21.4)</td></tr><tr><td align="left" rowspan="1" colspan="1">Alcohol drinking</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No</td><td align="center" rowspan="1" colspan="1">57 (74.0)</td><td align="center" rowspan="1" colspan="1">65 (79.3)</td><td align="center" rowspan="2" colspan="1">0.434</td></tr><tr><td align="left" rowspan="1" colspan="1"> Yes</td><td align="center" rowspan="1" colspan="1">20 (26.0)</td><td align="center" rowspan="1" colspan="1">17 (20.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Education level</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No education</td><td align="center" rowspan="1" colspan="1">16 (20.8)</td><td align="center" rowspan="1" colspan="1">14 (16.7)</td><td align="center" rowspan="4" colspan="1">0.320</td></tr><tr><td align="left" rowspan="1" colspan="1"> Primary</td><td align="center" rowspan="1" colspan="1">37 (48.0)</td><td align="center" rowspan="1" colspan="1">33 (39.2)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Secondary</td><td align="center" rowspan="1" colspan="1">23 (29.9)</td><td align="center" rowspan="1" colspan="1">33 (39.3)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Tertiary</td><td align="center" rowspan="1" colspan="1">1 (1.3)</td><td align="center" rowspan="1" colspan="1">4 (4.8)</td></tr><tr><td align="left" rowspan="1" colspan="1">Main material walls of house</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Block cement</td><td align="center" rowspan="1" colspan="1">38 (49.3)</td><td align="center" rowspan="1" colspan="1">47 (56.0)</td><td align="center" rowspan="3" colspan="1">0.377</td></tr><tr><td align="left" rowspan="1" colspan="1"> Brick</td><td align="center" rowspan="1" colspan="1">19 (24.7)</td><td align="center" rowspan="1" colspan="1">22 (26.1)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Mud</td><td align="center" rowspan="1" colspan="1">20 (26.0)</td><td align="center" rowspan="1" colspan="1">15 (17.9)</td></tr><tr><td align="left" rowspan="1" colspan="1">Method of TB diagnosis</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Clinical history and CXR</td><td align="center" rowspan="1" colspan="1">19 (24.7)</td><td align="center" rowspan="1" colspan="1">19 (22.9)</td><td align="center" rowspan="3" colspan="1"> 0.025<sup>∗∗</sup></td></tr><tr><td align="left" rowspan="1" colspan="1"> Sputum AFB</td><td align="center" rowspan="1" colspan="1">12 (15.6)</td><td align="center" rowspan="1" colspan="1">28 (33.7)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Sputum culture</td><td align="center" rowspan="1" colspan="1">46 (59.7)</td><td align="center" rowspan="1" colspan="1">36 (43.4)</td></tr><tr><td align="left" rowspan="1" colspan="1">WHO-HIV clinical stage</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 1</td><td align="center" rowspan="1" colspan="1">2 (3.6)</td><td align="center" rowspan="1" colspan="1">2 (2.9)</td><td align="center" rowspan="4" colspan="1"> 1.000</td></tr><tr><td align="left" rowspan="1" colspan="1"> 2</td><td align="center" rowspan="1" colspan="1">9 (16.4)</td><td align="center" rowspan="1" colspan="1">16 (23.5)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 3</td><td align="center" rowspan="1" colspan="1">42 (76.4)</td><td align="center" rowspan="1" colspan="1">44 (64.8)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 4</td><td align="center" rowspan="1" colspan="1"> 2 (3.6)</td><td align="center" rowspan="1" colspan="1">6 (8.8)</td></tr><tr><td align="left" rowspan="1" colspan="1">CD4 count (cells/mm<sup>3</sup>)</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> <50</td><td align="center" rowspan="1" colspan="1">4 (6.9)</td><td align="center" rowspan="1" colspan="1">1 (1.8)</td><td align="center" rowspan="3" colspan="1">0.193</td></tr><tr><td align="left" rowspan="1" colspan="1"> 50–200</td><td align="center" rowspan="1" colspan="1">15 (25.9)</td><td align="center" rowspan="1" colspan="1">10 (17.9)</td></tr><tr><td align="left" rowspan="1" colspan="1"> >200</td><td align="center" rowspan="1" colspan="1">39 (67.2)</td><td align="center" rowspan="1" colspan="1">45 (80.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Viral load (copies/mL)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> ≤400</td><td align="center" rowspan="1" colspan="1">31 (60.8)</td><td align="center" rowspan="1" colspan="1">39 (81.3)</td><td align="center" rowspan="2" colspan="1">0.025<sup>∗∗</sup></td></tr><tr><td align="left" rowspan="1" colspan="1"> >400</td><td align="center" rowspan="1" colspan="1">20 (39.2)</td><td align="center" rowspan="1" colspan="1">9 (18.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">BMI (Kg/m<sup>2</sup>)</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Underweight</td><td align="center" rowspan="1" colspan="1">16 (25.4)</td><td align="center" rowspan="1" colspan="1">15 (22.4)</td><td align="center" rowspan="4" colspan="1"> 0.828</td></tr><tr><td align="left" rowspan="1" colspan="1"> Normal weight</td><td align="center" rowspan="1" colspan="1">34 (53.9)</td><td align="center" rowspan="1" colspan="1">38 (56.7)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Overweight</td><td align="center" rowspan="1" colspan="1">12 (19.0)</td><td align="center" rowspan="1" colspan="1">11 (16.4)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Obese</td><td align="center" rowspan="1" colspan="1">1 (1.5)</td><td align="center" rowspan="1" colspan="1">3 (4.5)</td></tr><tr><td align="left" rowspan="1" colspan="1">ART use at PTB diagnosis</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No</td><td align="center" rowspan="1" colspan="1">38 (50.0)</td><td align="center" rowspan="1" colspan="1">62 (77.5)</td><td align="center" rowspan="2" colspan="1">≤0.001<sup>∗∗</sup></td></tr><tr><td align="left" rowspan="1" colspan="1"> Yes</td><td align="center" rowspan="1" colspan="1">38 (50.0)</td><td align="center" rowspan="1" colspan="1">18 (22.5)</td></tr><tr><td align="left" rowspan="1" colspan="1">TB treatment outcome</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Completed treatment</td><td align="center" rowspan="1" colspan="1"> 41 (52.5)</td><td align="center" rowspan="1" colspan="1">45 (53.6)</td><td align="center" rowspan="4" colspan="1"> 0.640</td></tr><tr><td align="left" rowspan="1" colspan="1"> Died</td><td align="center" rowspan="1" colspan="1">7 (9.1)</td><td align="center" rowspan="1" colspan="1">7 (8.3)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Lost to follow up</td><td align="center" rowspan="1" colspan="1"> 14 (17.9)</td><td align="center" rowspan="1" colspan="1">20 (23.8)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Still on treatment</td><td align="center" rowspan="1" colspan="1">16 (20.5)</td><td align="center" rowspan="1" colspan="1">12 (14.3)</td></tr></tbody></table><table-wrap-foot><fn><p><sup>∗∗</sup><italic>P</italic> value ≤ 0.05.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tab4" orientation="portrait" position="float"><label>Table 4</label><caption><p>Univariate and multivariate Cox proportional hazards regression analysis.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Characteristic</th><th align="center" rowspan="1" colspan="1">Univariate HR (95% CI)</th><th align="center" rowspan="1" colspan="1"><italic>P</italic>-value</th><th align="center" rowspan="1" colspan="1">Multivariate HR (95% CI)</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Patient age</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 18 to 40 years</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1"></td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> >40 years</td><td align="center" rowspan="1" colspan="1">1.8 (0.53–1.32)</td><td align="center" rowspan="1" colspan="1">0.05</td><td align="center" rowspan="1" colspan="1">1.57 (0.25–0.90)</td><td align="center" rowspan="1" colspan="1">0.02</td></tr><tr><td align="left" rowspan="1" colspan="1">Sex</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Female</td><td align="center" rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Male</td><td align="center" rowspan="1" colspan="1">1.26 (0.79–2.03)</td><td align="center" rowspan="1" colspan="1">0.33</td><td align="center" rowspan="1" colspan="1">—</td><td align="center" rowspan="1" colspan="1">—</td></tr><tr><td align="left" rowspan="1" colspan="1">Education level</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No education</td><td align="center" rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Primary</td><td align="center" rowspan="1" colspan="1">2.62 (1.28–5.34)</td><td align="center" rowspan="1" colspan="1">0.25</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Secondary</td><td align="center" rowspan="1" colspan="1">7.09 (0.87–7.56)</td><td align="center" rowspan="1" colspan="1">0.17</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Tertiary</td><td align="center" rowspan="1" colspan="1">1.54 (0.79–2.95)</td><td align="center" rowspan="1" colspan="1">0.19</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Method of TB diagnosis</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> History and CXR</td><td align="center" rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Smear positive</td><td align="center" rowspan="1" colspan="1">0.83 (0.48–2.14)</td><td align="center" rowspan="1" colspan="1">0.95</td><td align="center" rowspan="1" colspan="1">—</td><td align="center" rowspan="1" colspan="1">—</td></tr><tr><td align="left" rowspan="1" colspan="1"> Sputum culture positive</td><td align="center" rowspan="1" colspan="1">2.09 (1.19–3.65)</td><td align="center" rowspan="1" colspan="1">0.09</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Viral load (copies/mL)</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> <400</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1"></td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> >400</td><td align="center" rowspan="1" colspan="1">2.3 (0.87–1.56)</td><td align="center" rowspan="1" colspan="1">0.07</td><td align="center" rowspan="1" colspan="1">1.89 (0.74–1.63)</td><td align="center" rowspan="1" colspan="1">0.06</td></tr><tr><td align="left" rowspan="1" colspan="1">CD4 Count (cells/mm<sup>3</sup>)</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> <50</td><td align="center" rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 50–200</td><td align="center" rowspan="1" colspan="1">0.56 (0.18–1.72)</td><td align="center" rowspan="1" colspan="1">0.31</td><td align="center" rowspan="1" colspan="1">—</td><td align="center" rowspan="1" colspan="1">—</td></tr><tr><td align="left" rowspan="1" colspan="1"> >200</td><td align="center" rowspan="1" colspan="1">0.64 (0.20–1.64)</td><td align="center" rowspan="1" colspan="1">0.42</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">ART use at PTB diagnosis</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> No</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1"></td><td rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Yes</td><td align="center" rowspan="1" colspan="1">0.82 (1.05–1.3)</td><td align="center" rowspan="1" colspan="1">0.04</td><td align="center" rowspan="1" colspan="1">0.49 (0.36–0.97)</td><td align="center" rowspan="1" colspan="1">0.04</td></tr><tr><td align="left" rowspan="1" colspan="1">TB treatment outcome</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Completed treatment</td><td align="center" rowspan="1" colspan="1">1</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Died</td><td align="center" rowspan="1" colspan="1">2.42 (1.07–5.47)</td><td align="center" rowspan="1" colspan="1">0.03</td><td align="center" rowspan="1" colspan="1">—</td><td align="center" rowspan="1" colspan="1">—</td></tr><tr><td align="left" rowspan="1" colspan="1"> Lost to follow-up</td><td align="center" rowspan="1" colspan="1">0.92 (0.49–1.73)</td><td align="center" rowspan="1" colspan="1">0.81</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Still on treatment</td><td align="center" rowspan="1" colspan="1">0.79 (0.43–1.46)</td><td align="center" rowspan="1" colspan="1">0.45</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>HR: hazard ratio; CI: confidence interval.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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