- Research article
- Open Access
- Open Peer Review
Empirical treatment for TB in HIV: lessons from a cohort study of people living with HIV treated in Recife, Brazil
© Albuquerque et al.; licensee BioMed Central Ltd. 2014
- Received: 26 April 2013
- Accepted: 20 March 2014
- Published: 29 March 2014
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 M.tb culture testing). Routine cohorts are not an adequate setting to evaluate the impact of empirical treatment for TB on the mortality of PLHIV.
- Mortality rate
- Survival analysis
The widespread use of HAART has caused a decline in mortality rates in PLHIV , although rates are still higher in developing countries than in developed countries . Population surveys and autopsy studies have shown that many of these deaths are due to undiagnosed and therefore untreated tuberculosis (TB) [3–5]. TB is the leading cause of death related to HIV worldwide [3, 6–9] contributing to an estimated 24% of deaths , and this alone may prevent meeting the WHO target of halving the 1990 levels of TB mortality . Simultaneous antiretroviral and TB treatment has reduced mortality of dual TB/HIV cases in observational studies [10–12] and controlled trials  and is recommended by WHO . However, in the severely immune-suppressed it is difficult to diagnose tuberculosis or even to establish criteria for suspecting active disease.
In developing countries, the diagnosis of pulmonary TB is heavily dependent on AFB sputum smear microscopy, which has low sensitivity among PLHIV , who often present extra pulmonary or sputum smear-negative pulmonary TB, resulting in late diagnosis  and therefore either delayed or no treatment . 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 . In spite of this, there has been little research into the outcomes of HIV-positive TB suspects . 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.
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) . 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) . The presence of a cough of any duration is one of the four symptoms recommended for TB screening amongst PLHIV . We also investigated factors associated with death, with emphasis on empirical treatment for tuberculosis.
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 Mycobacterium tuberculosis (M.tb) 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.
We excluded those with positive bacteriology results (sputum smear microscopy or culture for M.tb) 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.
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 .
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).
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 , 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) .
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.
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/mm3 and < 200 cells/mm3. Variables related to TB included chest X-ray, history of previous TB treatment and bacteriology testing (whether negative or not performed).
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.
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/mm3 and < 200 cells/mm3. 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.
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.
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.
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).
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
HR (CI 95%)
1.62 (1.0 – 2.5)
< 40 years
≥ 40 years
0.91 (0.6 – 1.4)
1.4 (0.8 – 2.3)
Individual monthly income (MW)
1.1 (0.9 – 1.4)
2.4 (1.3 – 4.6)
0.4 (0.2 - 0.7)
0.6 (0.3 - 1.2)
0.6 (0.3 - 1.2)
1.4 (0.9 - 2.1)
Illicit drug use
Past or current
1.0 (0.6 - 1.5)
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
HR (CI 95%)
General health variables
18.5 to 24.9 kg/m2
< 18.5 kg/m2
2.0 (1.1 – 3.4)
≥ 25 kg/m2
0.6 (0.3 – 1.0)
5.6 (3.1 – 10.0)
Loss of weight reported at baseline
2.2 (1.4 - 3.4)
Variables related to HIV
1.3 (0.8 - 2.1)
CD4 cell count (time varying)
9.1 (5.9 – 14.0)
Opportunistic disease reported at baseline
2.0 (1.3 – 3.0)
Variables related to tuberculosis
AFB sputum smear or M. Tb culture during follow-up
1.7 (1.1 – 2.5)
4.0 (2.4 - 6.6)
1.7 (1.0 - 2.9)
Empirical TB treatment during follow-up
7.3 (4.8 – 11.0)
History of previous TB treatment
1.9 (1.2 - 2.9)
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 M.tb culture testing during follow-up and those who tested negative.
Tables 1 and 2 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.
Multivariate Cox regression analysis of the association between the variables studied and death of PLHIV complaining of cough, Recife, 2010
HR (CI 95%)
0.4 (0.2 - 0.9)
1.0 (0.5 - 1.9)
2.8 (1.5 - 5.3)
CD4 cell count (time varying)
5.1 (3.1 – 8.6)
1.9 (1.1 – 3.3)
1.5 (0.8 – 2.7)
Empirical TB treatment during follow-up
3.7 (2.2 – 6.3)
Multivariate Logistic regression analysis of the association between the variables studied and empirical TB treatment for PLHIV complaining of cough, Recife, 2010
Odds ratio (IC 95%)
CD4 cell count (time varying)
≥ 200 cel/mm3
< 200 cel/mm3
3.0 (1.8 – 4.8)
3.4 (2.1 – 5.5)
Loss of weight reported at baseline
1.9 (1.2 – 3.0)
Opportunistic disease reported at baseline
2.0 (1.2 – 3.4)
History of previous TB treatment
2.3 (1.4 – 3.8)
2.0 (1.1 – 3.5)
0.72 (0.4 – 1.3)
Sputum smear ABF or M. tuberculosis culture during follow-up
2.4 (1.5 - 3.8)
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).
The mortality rate encountered in our study, 4.6 per 100 person-years, was lower than in similar populations in Zimbabwe (17.9/100py)  and South Africa (28.9 per 100 py) . 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 .
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.
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 .
Chest X-ray investigation is recommended soon after a cough to shorten delays in diagnosis and treatment of smear negative pulmonary TB in PLHIV [1, 24]. 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.
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 [25–28]. 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.
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 [3, 15–17], particularly in this population with a high HAART uptake since the start of follow-up [3, 6].
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 M.tb culture testing).
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 . 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.
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 .
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 , 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% . This evidence underlies the WHO recommendation to introduce screening for TB in the routine care of PLHIV .
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.
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.
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 M.tb 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.
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”). The authors received partial support from the Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq (scholarship 150425/2012-0 to J.D.L.B., 300917/2006-6 to R.A.A.X. and 301779/2009-0 to M.F.P.M.).
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