Abstract
We examined factors associated with mixed-strain Mycobacterium tuberculosis infections among patients at high risk for drug-resistant tuberculosis in Botswana. Thirty-seven (10.0%) of 370 patients with tuberculosis had mixed M. tuberculosis infections, based on 24-locus mycobacterial interspersed repetitive unit–variable number of tandem repeats genotyping. In log-binomial regression analysis, age <37 years (adjusted prevalence ratio [PR], 1.92; 95% confidence interval [CI], 1.01–3.57) and prior tuberculosis treatment (adjusted PR, 2.31; 95% CI, 1.09–4.89) were associated with mixed M. tuberculosis infections. Among human immunodeficiency virus–infected patients, prior tuberculosis treatment (adjusted PR, 2.11; 95% CI, 1.04–4.31) and CD4+ T-cell count of <100 cells/μl (adjusted PR, 10.18; 95% CI, 2.48–41.71) were associated with mixed M. tuberculosis infections. Clinical suspicion of mixed M. tuberculosis infections should be high for patients with advanced immunosuppression and a prior history of tuberculosis treatment.
Keywords: tuberculosis, mixed tuberculosis infection, HIV/AIDS, immune suppression, reinfection
Tuberculosis was traditionally assumed to be caused by infection with a single strain of Mycobacterium tuberculosis [1]. However, increasing evidence has shown that infections with multiple strains of M. tuberculosis (ie, mixed M. tuberculosis infections) occur and might be relatively common in settings of high tuberculosis endemicity [1–6]. Moreover, mixed M. tuberculosis infections have been associated with poor treatment outcomes, reduced diagnostic performance for detecting drug resistance, and selection and amplification of drug-resistant strains [1, 7–9].
Despite the growing recognition of the public health significance of mixed M. tuberculosis infections, little is known regarding risk factors for mixed M. tuberculosis infections. The objective of this study was to determine factors associated with mixed M. tuberculosis infections among human immunodeficiency virus (HIV)–infected and HIV-uninfected patients with tuberculosis in Botswana, a country hyperendemic for HIV infection and tuberculosis.
MATERIALS AND METHODS
Study Population
Procedures for recruitment, laboratory testing, and data collection have been reported in detail previously [8]. Briefly, we retrospectively tested sputum samples obtained from patients attending tuberculosis hospitals and clinics in Botswana who were considered to be at high risk for multidrug-resistant (MDR) tuberculosis (Supplementary Figure 1). Sputum samples were tested with Gene Xpert MTB/RIF (Xpert) and culture-based methods (ie, the Mycobacteria Growth Indicator Tube was used for M. tuberculosis recovery, and the proportion method with Lowenstein-Jensen medium was used for drug-susceptibility testing). Patients aged ≥18 years with a tuberculosis diagnosis confirmed by Xpert and positive culture results were included in this study.
Data Collection and Laboratory Procedures
We abstracted clinical and demographic data from patients' medical records, laboratory records, and the national tuberculosis registry database, using standardized data collection forms. Data collected included age, sex, prior history of tuberculosis treatment, HIV test results, and CD4+ T-cell counts. Sputum samples were collected and processed as previously described [8]. We performed 24-locus mycobacterial interspersed repetitive unit (MIRU) variable number of tandem repeats (VNTR) analysis on chromosomal DNA extracted from M. tuberculosis isolates [8]. Mixed M. tuberculosis infections were defined by the presence of strains with distinct 24-loci MIRU-VNTR patterns at ≥1 loci in the same sputum sample [8].
Statistical Analysis
We conducted statistical analyses using R, version 3.0.2 (The R Project for Statistical Computing; http://www.r-project.org). A P value of < .05 was determined to be statistically significant. We calculated 95% confidence intervals (CIs) for prevalence estimates, using the Score method, and compared prevalence estimates by using the χ2 test. The χ2 test for trend was used to evaluate trends in mixed M. tuberculosis infection prevalence across CD4+ T-cell count categories.
We constructed log-binomial regression models to identify factors independently associated with mixed M. tuberculosis infections. Separate bivariate models were fitted for all patients and for the HIV-infected subgroup. We selected the following variables a priori for inclusion in the final models, based on their conceptual importance for reinfection and/or mixed M. tuberculosis infections: age (stratified dichotomously using the median), sex, prior history of tuberculosis treatment, HIV infection status (HIV infected vs HIV uninfected, for the model for all patients), and CD4+ T-cell count as a categorical variable (for the model for HIV-infected patients). We also constructed a separate model for HIV-infected patients with CD4+ T-cell count included as an ordinal variable to determine whether a linear relationship exists between CD4+ T-cell count and mixed M. tuberculosis infections. Last, we evaluated whether applying the final models to subgroups of patients with and patients without MDR tuberculosis resulted in similar findings as when applied to all patients.
Ethical Considerations
This study received approval from the University of Pennsylvania Institutional Review Board, the Botswana Ministry of Health Human Research Development Committee, and the Princess Marina Hospital Ethics Committee. We did not obtain informed consent because this study involved retrospective review of data that are routinely collected as part of tuberculosis care.
RESULTS
Between 1 January 2011 and 30 March 2012, 370 patients met the inclusion criteria for the study. Of those, the median age was 37 years (interquartile range [IQR], 30.5–44.5 years), 149 (40.3%) were female, 228 (61.6%) had a prior history of tuberculosis treatment, 55 (14.9%) had MDR tuberculosis, and 279 (75.4%) were HIV infected. Among HIV-infected patients, the median CD4+ T-cell cell count was 209 cells/μl (IQR, 111.5–330.0 cells/μl).
The overall prevalence of mixed M. tuberculosis infections was 10.0% (37/370; 95% CI, 7.3%–13.5%; Table 1). The prevalence of mixed M. tuberculosis infections was higher among patients with a prior history of tuberculosis treatment (12.7% [29/228] vs 5.6% [8/142]; P = .042) and higher among patients with MDR tuberculosis (20/55 [36.4%] vs 17/315 [5.4%]; P < .001). No statistically significant differences in mixed M. tuberculosis infection prevalence were observed between sex, age, and HIV infection categories. Among the 91 HIV-uninfected patients, the overall prevalence of mixed M. tuberculosis infections was 5.5% (5/91). All 5 mixed M. tuberculosis infections among HIV-uninfected patients occurred among the 63 patients who also had a prior history of tuberculosis treatment (Supplementary Figure 2).
Table 1.
Prevalence of Mixed-Strain Mycobacterium tuberculosis Infections, by Demographic and Clinical Characteristics, and Adjusted Prevalence Ratios Based on Log-Binomial Regression Modeling Among Adult Patients Evaluated for Multidrug-Resistant Tuberculosis in Botswana, January 2012–March 2013
| Characteristic | Mixed-Strain Infection |
Adjusted Prevalence Ratio (95% CI) |
|||
|---|---|---|---|---|---|
| Proportion | Prevalence, % (95% CI) | P Value | Model 1 (All Patients) (n = 370) | Model 2 (HIV-Infected Patients) (n = 279) | |
| Overall | 37/370 | 10.0 (7.3–13.5) | |||
| Sex | .726 | ||||
| Male | 21/221 | 9.5 (6.3–14.1) | 1.0 | 1.0 | |
| Female | 16/149 | 10.7 (6.7–16.7) | 1.27 (.68–2.36) | 1.52 (.83–2.79) | |
| Age, y | .089 | ||||
| <37 | 23/153 | 13.1 (10.2–21.6) | 1.92 (1.01–3.57) | 1.67 (.88–3.13) | |
| ≥37 | 14/180 | 7.2 (4.7–12.6) | 1.0 | 1.0 | |
| Prior history of tuberculosis treatment | .042 | ||||
| No | 8/142 | 5.6 (2.3–8.5) | 1.0 | 1.0 | |
| Yes | 29/228 | 12.7 (9.0–17.9) | 2.31 (1.09–4.89) | 2.11 (1.04–4.31) | |
| HIV infection | .147 | ||||
| No | 5/91 | 5.5 (2.4–12.2) | 1.0 | NA | |
| Yes | 32/279 | 11.5 (8.2–15.7) | 2.32 (.94–5.73) | NA | |
| CD4+ T-cell count, cells/μl | <.001 | ||||
| <100 | 17/54 | 31.5 (20.7–44.7) | NA | 10.18 (2.48–41.71) | |
| 100–199 | 8/74 | 10.8 (5.6–19.9) | NA | 3.62 (.80–16.39) | |
| 200–350 | 5/88 | 5.7 (2.5–12.6) | NA | 1.76 (.36–8.75) | |
| >350 | 2/63 | 3.2 (.9–10.9) | NA | 1.0 | |
Bold numbers indicate P values of < .05.
Abbreviations: CI, confidence interval; HIV, human immunodeficiency virus; NA, not applicable.
Among HIV-infected patients, the overall prevalence of mixed M. tuberculosis infections was 11.5% (32/279). As with HIV-uninfected patients, the prevalence of mixed M. tuberculosis infections was higher among patients who also had prior history of tuberculosis treatment (14.5% [24/165] vs 7.0% [8/114] among patients with no prior history of tuberculosis treatment; Supplementary Figure). The prevalence of mixed M. tuberculosis infections increased from 3.2% (2/63) among patients with a CD4+ T-cell count of >350 cells/μl to 31.5% (17/54) among patients with a CD4+ T-cell count of <100 cells/μl (P < .001, by the χ2 test for trend; Table 1). When patients with a CD4+ T-cell count of <100 cells/μl were stratified by their history of prior tuberculosis treatment, the prevalence of mixed M. tuberculosis infections was 41.4% (12/29) and 20.0% (5/25) among patients with and those without a prior history of tuberculosis treatment, respectively (Figure 1). No mixed M. tuberculosis infections were detected among the 55 HIV-infected patients with a CD4+ T-cell count of >200 cells/μl and no prior history of tuberculosis treatment (Figure 1).
Figure 1.
Prevalence of mixed-strain Mycobacterium tuberculosis infections, by CD4+ T-cell count and prior history of tuberculosis treatment, among human immunodeficiency virus–infected patients evaluated for multidrug-resistant tuberculosis in Botswana, January 2012–March 2013.
In the multivariable log-binomial model of all patients, mixed M. tuberculosis infections were associated with age <37 years (adjusted prevalence ratio [PR], 1.92; 95% CI, 1.01–3.57) and a prior history of tuberculosis treatment (adjusted PR, 2.31; 95% CI, 1.09–4.89; Table 1). The prevalence of mixed M. tuberculosis infections was higher among HIV-infected patients, but this association did not reach statistical significance (adjusted PR, 2.32; 95% CI, .94–5.73).
In the model among HIV-infected patients only, mixed M. tuberculosis infections were associated with a prior history of tuberculosis treatment (adjusted PR, 2.31; 95% CI, 1.09–4.89) and a CD4+ T-cell count of <100 cells/μl (vs >350 cells/μl; adjusted PR, 10.18; 95% CI, 2.48–41.71; Table 1). When CD4+ T-cell count was modeled as an ordinal variable, the prevalence of mixed M. tuberculosis infections increased with decreasing CD4+ T-cell count categories, after adjustment for prior history of tuberculosis treatment (adjusted PR, 2.35 per decrease in ordinal CD4+ T-cell category; 95% CI, 1.65–3.34).
We were unable to construct separate models for the subgroup of patients with MDR tuberculosis because of insufficient sample size. Models for the subgroup without MDR tuberculosis resulted in effect sizes similar to those of the models that included all patients. However, the association between previous treatment history and mixed M. tuberculosis infections was no longer statistically significant when restricted to the subgroup without MDR tuberculosis.
DISCUSSION
We found a 10% prevalence of mixed M. tuberculosis infections among patients with pulmonary tuberculosis evaluated for MDR tuberculosis in Botswana. However, the prevalence of mixed M. tuberculosis infections varied substantially among patient subgroups and was as high as 41.4% among patients with a prior history of tuberculosis treatment and advanced immunosuppression (Figure 1). The prevalence of mixed M. tuberculosis infections found in our study population is similar to what has been reported from studies of mixed M. tuberculosis infections identified by MIRU-VNTR in other settings of high HIV prevalence [1, 4, 10]. However, previous studies of mixed M. tuberculosis infections were limited by small sample sizes of HIV-infected persons and, thus, were not able to compare the prevalence of mixed M. tuberculosis infection across CD4+ T-cell counts.
To our knowledge, the present study is the first to describe an increasing trend in the prevalence of mixed M. tuberculosis infections across decreasing CD4+ T-cell counts. The prevalence of mixed M. tuberculosis infections was 10-fold higher among HIV-infected patients with CD4+ T-cell counts of <100 cells/μl, compared with that among patients with CD4+ T-cell counts of >350 cells/μl. These findings are consistent with the observation that HIV-induced immunodeficiency increases the susceptibility to reinfection and the simultaneous progression to active tuberculosis [1, 2]. Alternatively, transmission events involving simultaneous infection with mixed M. tuberculosis strains might be possible.
Prior studies have suggested that infection with M. tuberculosis provides partial protection against subsequent infections, most of which remain latent without progressing to active disease [11]. On the other hand, a prior history of tuberculosis is one of the most important risk factors for incident active tuberculosis [12]. The strong association that we found between prior tuberculosis treatment and mixed M. tuberculosis infections suggests that the initial tuberculosis episode might increase the risk of subsequent tuberculosis caused by simultaneous infections with multiple strains, as well as the risk for relapse and reinfection.
Our findings suggest that protective immunity provided by prior M. tuberculosis infections might only be clinically relevant among patients with a preserved immune system in whom infection never progress to active tuberculosis. Among HIV-uninfected patients with a prior history of tuberculosis treatment, subsequent exogenous M. tuberculosis infection might itself suppress the immune system, causing reactivation of the prior infection if it was not completely cured. It is also possible that HIV-uninfected patients with a prior history of tuberculosis treatment in our study were more likely to have other immunosuppressive conditions, such as diabetes and malnutrition, which increase their risk for mixed M. tuberculosis infections. Additional research is needed to test these hypotheses.
Our findings should be interpreted with caution given that the MIRU-VNTR method does not allow for the differentiation between infection with multiple different strains (true mixed M. tuberculosis infection) and microevolution of a single strain [1]. Thus, it is possible that we overestimated the prevalence of mixed M. tuberculosis infections. The prevalence of mixed M. tuberculosis infections would change to 4.9% (18/370) and 2.2% (8/370) if we changed the definition to involve different patterns at ≥2 loci and ≥3 loci, respectively. However, previous studies have shown that MIRU-VNTR patterns are highly stable even in the context of microevolution [13, 14]. We therefore believe that our definition of ≥1 locus is most likely to correspond to true mixed M. tuberculosis infections.
Other limitations include the cross-sectional nature of our study, which limits our ability to establish causal relationships. Longitudinal cohort studies are needed to confirm whether tuberculosis treatment and advanced immune suppression increase the risk for subsequent disease caused by mixed M. tuberculosis infections. In addition, the MIRU-VNTR method does not allow the identification of infections with multiple strains having the same pattern. This methodological limitation might have led to underestimates of the prevalence of mixed M. tuberculosis infections and potentially introduced misclassification bias. Furthermore, we only tested for mixed M. tuberculosis infections in sputum samples taken from patients with pulmonary tuberculosis and, therefore, were unable to investigate mixed M. tuberculosis infections involving different strains isolated from extrapulmonary sites, which could have also led us to underestimate the true prevalence of mixed M. tuberculosis infections [15]. Previous history of tuberculosis treatment was determined on the basis of self-report as recorded in the medical records, which could have led to misclassification. Furthermore, we did not collect sufficient data to compare the prevalence of mixed M. tuberculosis infections between previously treated patients who were cured to that among patients who withdrew from or did not respond to treatment. Last, our study population consisted of retrospectively enrolled patients who were evaluated for MDR tuberculosis on the basis of predefined criteria (Supplementary Figure 1). We did not collect information on patients who did not fit these criteria, and our results might not be generalizable to the broader population of patients with tuberculosis in Botswana and elsewhere.
To our knowledge, the present study provides the strongest evidence to date of an association between HIV-related immunosuppression and mixed M. tuberculosis infections. Clinical suspicion of mixed M. tuberculosis infections should be high for patients with advanced HIV disease, particularly among those with history of a prior tuberculosis episode. While the clinical implications of mixed M. tuberculosis infections remain poorly understood, patients with mixed M. tuberculosis infections might be at increased risk for poor treatment outcomes and, thus, should be monitored with extra care [7, 8]. Future studies will need to determine the relative importance of microevolution and unrecognized tuberculosis-specific immunosuppression for acquiring mixed M. tuberculosis infections.
Supplementary Data
Supplementary materials are available at The Journal of Infectious Diseases online (http://jid.oxfordjournals.org). Supplementary materials consist of data provided by the author that are published to benefit the reader. The posted materials are not copyedited. The contents of all supplementary data are the sole responsibility of the authors. Questions or messages regarding errors should be addressed to the author.
Notes
Acknowledgments. We thank the patients and staff at the MDR tuberculosis clinics in Botswana, who made this study possible.
Disclaimer. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Financial support. This work was supported by the National Institutes of Health (grants R01AI097045, T32MH080634, P30AI45008 to the Penn Center for AIDS Research; grant MH58107 to the UCLA Center for HIV Identification, Prevention, and Treatment; grant 5P30AI028697 to the UCLA Center for AIDS Research; and grant UL1TR000124 to the National Center for Advancing Translational Sciences.
Potential conflicts of interest. All authors: No reported conflicts.
All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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