Abstract
The greater mortality risk among people with advanced human immunodeficiency virus disease and cryptococcal antigenemia, despite treatment, indicates an increased susceptibility to other infections. We found that prior tuberculosis was an independent risk factor for cryptococcal antigenemia (adjusted odds ratio, 2.72; 95% confidence interval, 1.13–6.52; P = .03) among patients with CD4 counts <100 cells/µL.
Keywords: advanced HIV disease, cryptococcosis, tuberculosis
Tuberculosis (TB) and cryptococcal disease are leading causes of death among adults with advanced human immunodeficiency virus disease (HIV) [1]. Screening and treatment for both diseases are required before antiretroviral therapy (ART) is initiated, re-commenced, or switched due to virological failure in individuals with low CD4 T-lymphocyte counts (CD4 counts) [2]. Cryptococcal antigenemia remains associated with an increased risk of mortality despite screening and preemptive treatment with fluconazole [3], possibly indicating that other opportunistic infections such as TB may be causing excess deaths among individuals with cryptococcal antigenemia. A shared immunological deficit (in addition to CD4 depletion) or pathophysiological mechanism might explain dual susceptibility to both pathogens in certain individuals with advanced HIV disease.
Previous studies have provided limited evidence of an association between previous TB and the occurrence of cryptococcal meningitis among patients with advanced HIV disease [4, 5]. However, the relationship between TB and cryptococcal antigenemia in patients without symptomatic cryptococcal meningitis is unclear, and data related to comorbid diagnoses and causes of death are sparse.
An understanding of the relationship between TB and cryptococcosis will help guide physicians in managing patients with advanced HIV disease. In this case-control study, we explored the association between a history of prior or prevalent TB and the presence of asymptomatic cryptococcal antigenemia in patients undergoing cryptococcal antigen (CrAg) screening.
METHODS
Retrospective data were collected for participants of a CrAg screening study described elsewhere [3]. Human immunodeficiency virus-positive adults with CD4 counts <100 cells/µL (both ART naive and experienced) were invited to participate during inpatient or outpatient attendance at 2 hospitals in Johannesburg, South Africa between June 2015 and October 2017. Patients with asymptomatic cryptococcal antigenaemia, and CrAg-negative patients with similar CD4 counts (±10 cells/μL, at a 1:2 ratio), were consecutively enrolled if they provided consent.
Patients who had lumbar punctures performed revealing subclinical cryptococcal meningitis (cerebrospinal fluid positive for CrAg, India Ink microscopy, or culture) were included as long as they were asymptomatic at the time of enrollment.
Participants were asked about their medical history. If they reported a history of TB, the date, site of infection, and method of diagnosis (using clinical and laboratory records) was recorded, as well as treatment received. All participants were tested for prevalent TB (irrespective of symptoms) using pre- and/or postinduction sputum for auramine staining and microscopy, liquid culture (BACTEC MGIT; Becton Dickinson, Franklin Lakes, NJ), and molecular testing (Xpert MTB/RIF;Cepheid, Sunnyvale, CA) and urine for lipoarabinomannan (LAM) (Determine TB LAM; Alere, Waltham, MA). Results were available immediately for urine LAM testing and within 24 hours for sputum Xpert MTB/Rif and microscopy. Culture results were reported when positive within 28 days incubation.
We defined prior TB as being diagnosed more than 2 months before study enrollment, and we defined prevalent TB as being diagnosed during the previous 2 months, or from samples taken on the day of enrollment using any of the diagnostics described. We assessed the risk of asymptomatic cryptococcal antigenemia in those with either prior or prevalent TB by calculating odds ratios (ORs) with 95% confidence intervals (CIs), using logistic regression modeling, adjusting for a priori confounders age, sex, CD4 count, and ART status.
Patient Consent Statement
Patient’s written consent was obtained before participation in this study. The study protocol was approved by the Ethics Committees at University of the Witwatersrand, South Africa and the London School of Hygiene & Tropical Medicine, United Kingdom.
RESULTS
Sixty-seven CrAg-positive and 134 CrAg-negative patients were enrolled in the study. There were no differences in age, sex, serum C-reactive protein levels, body mass index, hemoglobin, or other opportunistic infections between CrAg-positive and CrAg-negative participants (Supplementary Table 1). However, CrAg-positive participants had lower CD4 counts (27 cells/µL [IQR 7–40] vs 41 cells/µL [IQR 16–64], P = .002), and they were more likely to have started ART (24% vs 10%, P = .01).
Prior TB was reported in 15 of 67 (22%) CrAg-positive patients and 14 of 134 (10%) CrAg-negative patients (OR, 2.47; 95% CI, 1.11–5.49; P = .03) (Supplementary Table 2). This association remained significant when adjusted for age, sex, ART status, and CD4 count (adjusted OR, 2.72; 95% CI, 1.13–6.52; P = .03) (Table 1). Laboratory records were only available for individuals who had been diagnosed with TB at the study sites. Among these patients, 5 (17%) were diagnosed on the basis of laboratory tests: staining and microscopy (1); culture (2); sputum Xpert MTB/RIF (2); urine LAM (1).
Table 1.
Results of Logistic Regression Analysis for Age, Sex, CD4 Cell Count, Prior Tuberculosis, and Cryptococcal Antigenemia
| Variable parameters | n | CrAg Positive, % (n) | Unadjusted OR (95% CI) | P | Adjusted ORa (95% CI) | P |
|---|---|---|---|---|---|---|
| Age | ||||||
| <39 | 99 | 35.3 (35) | Base | Base | ||
| ≥39 | 102 | 31.4 (32) | 0.84 (.46–1.50) | .55 | 0.88 (.47–1.66) | .71 |
| Sex | ||||||
| Male | 102 | 29.4 (30) | Base | Base | ||
| Female | 99 | 37.4 (37) | 1.43 (.79–2.58) | .23 | 1.42 (.76–2.68) | .27 |
| CD4 (<50) | ||||||
| ≥50 | 66 | 18.2 (12) | Base | Base | ||
| <50 | 135 | 40.7 (55) | 3.09 (1.52–6.31) | .002 | 3.37 (1.60–7.11) | .001 |
| ART Statusb | ||||||
| Naive/defaulted | 172 | 29.7 (51) | Base | Base | ||
| On ART | 29 | 55.2 (16) | 2.92 (1.31–6.51) | .009 | 2.58 (1.09–6.09) | .03 |
| Prior TB | ||||||
| No prior TB | 172 | 20.2 (52) | Base | Base | ||
| Prior TB | 29 | 51.7 (15) | 2.47 (1.11–5.49) | .03 | 2.72 (1.13–6.52) | .03 |
Abbreviations: ART, antiretroviral therapy; CI, confidence interval; CrAg, cryptococcal antigen; OR, odds ratio; TB, tuberculosis.
All variables adjusted for age, sex, CD4 count, ART status, and prior TB. There was no association between age and CrAg status if age was included as a categorical or continuous variable.
ART status was categorized as naïve or defaulted if they had not taken any ART in the past 3 months.
Prevalent TB was reported in 15 of 67 (22%) CrAg-positive and 32 of 134 (24%) CrAg-negative patients (adjusted OR, 0.90; 95% CI, .43–1.90; P = 0.8); 18 of 47 (38%) patients had been diagnosed with TB within the past 2 months, and 29 of 47 patients (62%) were diagnosed on the day of study enrollment (Table 1). Prevalent TB diagnoses were confirmed by laboratory tests in 43 of 47 (91%) patients: staining and microscopy (11); sputum culture (9), nonsputum culture (2), sputum Xpert PCR (16); nonsputum Xpert (1); histology (3); and urine LAM (38). Four (9%) patients were diagnosed with TB on the basis of radiological and clinical features only.
Prior TB was associated with a 2.7-fold higher odds of asymptomatic cryptococcal antigenemia in HIV-positive adults with CD4 counts of <100 cells/µL. Prevalent TB was common among both CrAg-positive and CrAg-negative patients; reported in over one fifth of patients. However, there was no evidence of an association between prevalent TB and cryptococcal antigenemia.
DISCUSSION
Our findings are consistent with previously reported evidence of an association between TB and cryptococcosis. In a prospective cohort of 707 patients commencing ART in South Africa, 11 of 13 (85%) of those with cryptococcal meningitis had a history of TB. Prior (but not prevalent) TB within 2 years was a strong and independent predictor for the development of cryptococcal meningitis on multivariable analysis (OR, 6.6; 95% CI, 1.3–32.7, P = .02) [4]. A retrospective analysis of over 175 000 patients attending ART clinics in Zimbabwe, Zambia, and South Africa found that a history of TB was associated with cryptococcal disease when adjusted for age, sex, CD4 count, and treatment site (adjusted hazard ratio, 1.28; 95% CI, 1.05–1.55; P = .015) [5]. Furthermore, prospective cohort [6] and autopsy studies among HIV-positive adults have revealed a high incidence of coinfection with TB and cryptococcosis; post-mortems revealed cryptococcal pneumonia as the cause of death in 4 of 7 (57%) patients with known TB in South Africa [7].
Previous studies have also observed a relationship between TB and asymptomatic cryptococcal antigenemia. A prospective CrAg screening study in HIV-positive adults with CD4 <150 cells/µL in Tanzania found that a higher proportion of CrAg-positive patients had active (smear-positive) TB (4 of 28, 20%) than CrAg-negative patients (73 of 722, 12%) [8]. In Kenya, CrAg-positive patients were more likely to be started on antituberculous medication during the year after screening (22 of 59, 37% vs 109 of 455, 24%; P = .04) [9], although the method of TB diagnosis was not reported.
Individuals with advanced HIV disease become more susceptible to both TB and cryptococcal disease after CD4 depletion so dual infection is not unexpected. However, we found prior TB to be strongly predictive of cryptococcal antigenemia even after adjusting for CD4 count. This could be explained by immunological deficits in addition to HIV-associated CD4 depletion. Lower levels of proinflammatory cytokine production (interferon-γ and tumor necrosis factor-α), for example, have been associated with reduced elimination of both organisms [10, 11]. Both organisms are also known to “cause” innate and adaptive immunosuppressive effects [10, 11]. This may result in an interdependent susceptibility to Mycobacterium tuberculosis or Cryptococcus, when an individual becomes infected with either pathogen. An alternative explanation is that TB-related compromise of the respiratory mucosa results in an increased susceptibility to cryptococcal infection after exposure, facilitating the entry and dissemination of Cryptococcus inhaled from the environment or reactivation of latent cryptococcal infection. Furthermore, prolonged immune suppression may account for increased susceptibility to both organisms; the duration of advanced HIV infection was not known among this cohort.
Serological evidence suggests that exposure to Cryptococcus is likely to be almost universal, and infection can remain latent and then reactivate in the context of immune compromise [12]. However, only a small proportion of individuals with low CD4 counts develop disseminated cryptococcosis (global prevalence of cryptococcal antigenemia is estimated to be approximately 6% in individuals with CD4 counts <100 cells/µL [13]). Because CrAg-positive patients have an increased risk of death despite fluconazole treatment, irrespective of whether they develop cryptococcal meningitis [3], an additional immune defect beyond CD4 depletion is plausible in the subpopulation of people with advanced HIV disease who develop cryptococcal antigenemia. This additional immune defect may increase susceptibility to other infections such as TB. We found that prior TB diagnosed at least 2 months before CrAg screening is a risk factor for cryptococcal antigenemia, indicating that host-related susceptibility is pre-existing, or perhaps a consequence of TB in some patients.
Our study is limited in numbers and by incomplete laboratory data for prior TB diagnoses. Although efforts were made to select comparable groups, CrAg-positive patients had lower CD4 counts and were more likely to be taking ART. Of note, the association between prior TB and cryptococcal antigenemia persisted despite adjustment for these confounders. Furthermore, more sensitive tests for TB are now available. However, because all patients were screened, these would not have affected the “difference” in positivity rates between cases and controls.
CONCLUSIONS
Both TB and cryptococcosis are associated with an increased risk of death among patients with advanced HIV disease [3, 14, 15]; patients with coinfection are at greater risk [6]. Our findings highlight the importance of comprehensive screening for TB among CrAg-positive patients, and of CrAg screening among HIV-positive adults with a prior history of TB, who may be at increased risk of cryptococcosis.
Supplementary Data
Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
Supplementary Material
Acknowledgments
Sample collection, point-of-care testing, and data collection were performed by Neo Legare, Matshediso Mkhwanazi, Siphiwe Kutta, and Tracey Shabangu.
Author contributions. R. M. W. designed and led the study and analysis. T. S. H., C. T. T., N. A. I., F. I., S. V. O., J. N. J., and N. P. G. contributed to protocol development and manuscript preparation.
Financial support. This work was funded by the Meningitis Research Foundation (Grant 1604.0 to R. M. W.). R.M.W (CL-2019-16-001) is also funded by Health Education England (HEE)/NIHR. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR, NHS or the UK Department of Health and Social Care. J. N. J. is funded by the National Institute for Health Research through a Global Health Research Professorship (RP-2017-08-ST2-012) using United Kingdom (UK) aid from the UK Government to support global health research. N. P. G. was partially supported by a grant from the National Institutes of Health (R01AI118511).
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.
Contributor Information
Rachel M Wake, Institute for Infection and Immunity, St George’s University Hospital NHS Foundation Trust, London, United Kingdom; Centre for Healthcare-Associated Infections, Antimicrobial Resistance and Mycoses, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa; Clinical Academic Group in Infection and Immunity, St George’s University Hospital NHS Foundation Trust, London, United Kingdom.
Nazir A Ismail, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa; Centre for Tuberculosis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
Shaheed V Omar, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa; Centre for Tuberculosis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
Farzana Ismail, Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa; Centre for Tuberculosis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
Caroline T Tiemessen, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Centre for HIV and STIs, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
Thomas S Harrison, Institute for Infection and Immunity, St George’s University Hospital NHS Foundation Trust, London, United Kingdom; Clinical Academic Group in Infection and Immunity, St George’s University Hospital NHS Foundation Trust, London, United Kingdom; MRC Centre for Medical Mycology, University of Exeter, Exeter, United Kingdom.
Joseph N Jarvis, Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom; Botswana Harvard AIDS Institute Partnership, Gabarone, Botswana; Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nelesh P Govender, Institute for Infection and Immunity, St George’s University Hospital NHS Foundation Trust, London, United Kingdom; Centre for Healthcare-Associated Infections, Antimicrobial Resistance and Mycoses, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa; MRC Centre for Medical Mycology, University of Exeter, Exeter, United Kingdom; Division of Medical Microbiology, University of Cape Town, South Africa.
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