Objective To determine the clinical consequences of pulmonary tuberculosis (TB) among patients with diabetes mellitus (DM).
Methods We conducted a prospective study of patients with TB in Southern Mexico. From 1995 to 2010, patients with acid-fast bacilli or Mycobacterium tuberculosis in sputum samples underwent epidemiological, clinical and microbiological evaluation. Annual follow-ups were performed to ascertain treatment outcome, recurrence, relapse and reinfection.
Results The prevalence of DM among 1262 patients with pulmonary TB was 29.63% (n=374). Patients with DM and pulmonary TB had more severe clinical manifestations (cavities of any size on the chest x-ray, adjusted OR (aOR) 1.80, 95% CI 1.35 to 2.41), delayed sputum conversion (aOR 1.51, 95% CI 1.09 to 2.10), a higher probability of treatment failure (aOR 2.93, 95% CI 1.18 to 7.23), recurrence (adjusted HR (aHR) 1.76, 95% CI 1.11 to 2.79) and relapse (aHR 1.83, 95% CI 1.04 to 3.23). Most of the second episodes among patients with DM were caused by bacteria with the same genotype but, in 5/26 instances (19.23%), reinfection with a different strain occurred.
Conclusions Given the growing epidemic of DM worldwide, it is necessary to add DM prevention and control strategies to TB control programmes and vice versa and to evaluate their effectiveness. The concurrence of both diseases potentially carries a risk of global spreading, with serious implications for TB control and the achievement of the United Nations Millennium Development Goals.
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode
Statistics from Altmetric.com
What is the key question?
What are the treatment and post-treatment outcomes in patients with pulmonary tuberculosis (TB) and diabetes mellitus (DM) in a high DM/TB setting?
What is the bottom line?
Although data indicate that patients with TB and DM are probably more likely to experience negative outcomes, unsolved questions remain due to methodological limitations of previous studies. Furthermore, the frequency of relapses and reinfections is unknown.
Why read on?
We document that patients with TB/DM have more severe treatment and post-treatment outcomes. Using molecular tools, we demonstrated that subsequent episodes among patients with DM are more likely to be due to the same bacteria as the previous episode. However, the occurrence of exogenous reinfection in one-fifth of the cases merits further consideration.
The WHO has identified diabetes mellitus (DM) as a global epidemic, mostly affecting low- and middle-income countries where 80% of all deaths from DM occur.1 Simultaneously, tuberculosis (TB) continues to be a major cause of death worldwide despite the fact that the epidemic appears to be on the verge of a decline.2 Many studies have explored the relationship between DM and TB, including a recent systematic review which showed that the risk of TB among people with DM is three times higher than in people without DM.3 Recently, WHO and the International Union Against TB and Lung Disease (Union) have acknowledged the need for international guidelines on the joint management and control of TB and DM and have published a provisional collaborative framework for the care and control of both diseases.4
In this study we address some of the knowledge gaps and research needs that have recently been identified on the association between these two diseases.5 ,6 Since 1995 we have been conducting a population-based prospective study of pulmonary TB in Southern Mexico where almost one-third of TB patients have been previously diagnosed with DM.7 The main objective of this study was to describe the clinical manifestations and treatment and post-treatment outcomes in patients with DM and bacteriologically confirmed pulmonary TB compared with TB patients without this diagnosis.
Study population and enrolment
We conducted a prospective study of patients with TB. Briefly, the study area includes 12 municipalities in the Orizaba Health Jurisdiction in Veracruz State, Mexico with an extent of 618.11 km2 and 413 223 inhabitants, 26.3% of whom live in rural communities.8
Between March 1995 and April 2010 we performed passive case finding supported by community health workers and screened persons aged >15 years who reported coughing for >15 days. Consenting patients with acid-fast bacilli or Mycobacterium tuberculosis in sputum samples were consecutively recruited over the 15 years and underwent epidemiological, clinical (standardised questionnaire, physical examination, chest radiography and HIV test), microbiological and molecular evaluations. We performed cultures on smear-positive sputum samples from 1995 to 2000, on all sputum samples (both smear-positive and smear-negative) from 2000 to 2005, and on sputum samples from all previously treated TB patients as well as any new patients with TB considered at high risk of having drug-resistant TB from 2005 to 2010. Patients were considered to have DM if they had received a previous diagnosis from a physician or oral hypoglycaemic medication or insulin administration or treatment. Chest x-rays were assessed independently by certified radiologists. Staff classifying study outcomes were not blinded while laboratory personnel and radiologists were blinded to patients’ DM status. Personnel were trained in the administration of standardised questionnaires that included previously validated questions. Community health workers ascertained the ‘homelessness’ of participants.
Following the guidelines of Mexico's National TB Control Program, between 1995 and 1998 new cases received 2 months of isoniazid (H), rifampin (R) pyrazinamide (Z) plus 4 months of HR (2HRZ/4HR) and retreatment cases also received either ethambutol (E) or streptomycin (S). After 1998 the local health jurisdiction adopted the WHO standard regimen of initiating therapy with four drugs (2HRZE/4HR) for newly diagnosed patients and five drugs (2HRZES/1HRZE/5HRE) for previously treated patients. After 2000, patients harbouring isolates resistant to both isoniazid and rifampin were treated with the support of the Green Light Committee with a second-line standardised regime using at least four drugs highly likely to be effective for 18–24 months after culture conversion.
After treatment was completed, patients were visited annually and standardised questionnaires, smears and M tuberculosis cultures were undertaken to investigate recurrences, relapses,10 IS6110 based-reinfections and death due to TB,11 as defined in table 1.
Voluntary HIV testing and counselling was offered to all participants. The results were given to the patient and he/she was referred to receive appropriate treatment. Testing for HIV was done using two different tests. All positive results were confirmed by western blot analysis.12
Measurement of glucose concentration
In 1166 of the 1262 patients (92.39%) in whom a serum sample obtained after the diagnosis of TB was available, glucose determination was performed using a Synchron CX5 Delta analyser (Beckman Coulter). Glucose levels ≥126 mg/dl in fasting samples or ≥200 mg/dl for random samples were considered diagnostic.13
Mycobacteriology and genotyping
Sputum samples were processed for M tuberculosis following standardised procedures.14 Isolates were genotyped and compared using IS6110-based restriction fragment length polymorphisms (RFLP) and spoligotyping if the IS6110 RFLP patterns of the isolate had <6 bands.15 Patients were considered ‘clustered’ if ≥2 isolates from different patients were identified within 12 months of each other and had ≥6 IS6110 bands in an identical pattern, or <6 bands with identical IS6110 RFLP patterns and a spoligotype with the same spacer oligonucleotides. Cases with a unique genotype pattern (different from all other fingerprints obtained from isolates in the study population) and the first case diagnosed in each cluster probably arose from the reactivation of latent infection caused by M tuberculosis strains acquired at a different time or place.16
Bivariate and multivariate analyses were used to test for differences in sociodemographic, behavioural and clinical characteristics between patients with and without DM. Rural residence and homelessness were defined as in the Population and Household Census.8 Usage of alcohol (>10 drinks per week), smoking (>10 cigarettes per week), usage of illegal drugs, (marijuana, cocaine and its derivatives, heroin, methamphetamines, hallucinogens, inhalants and other drugs) were defined as in the National Survey of Addictions.17
Drug susceptibilities and genotype patterns of M tuberculosis isolates from patients with and without DM were compared. To evaluate healthcare access we assessed the distance to the nearest health centre and the time elapsed between the onset of symptoms and the beginning of treatment. Fingerprints obtained from first and second or subsequent episodes were compared among recurring and relapsing patients.
In patients with pulmonary TB, associations between DM and the severity of disease (as indicated by cavities of any size on chest x-rays), delayed sputum conversion (after ≥60 days) and treatment failure were investigated by multivariate unconditional logistic regression. Variables with p≤0.20 in the bivariate analysis and biological plausibility were included in multivariate models. We estimated the OR and 95% CIs and identified the covariates that were independently associated with each outcome. We estimated adjusted HRs and 95% CI using Cox proportional hazards models to assess the association of DM with recurrence and relapse. In these models, the outcome was the time to diagnosis of recurrence or relapse from treatment completion of the previous episode in years. The proportional hazards assumption was verified by introducing terms for the interaction between time and covariates into the model. Since serum glucose determination was available for 1166 patients (92.32%) after the diagnosis of TB, we reanalysed the data adding the 26 patients (6.5%) who were unaware of their diagnosis of DM until after their diagnosis of TB. Kaplan–Meier curves were used to assess survivorship among patients with and without DM and a log-rank test was used to detect significant differences. All data analysis was performed using Stata V.10.0.
Characteristics of patients with TB according to DM
During the 15-year study period we recruited 1262 patients with pulmonary TB. Of these, 29.63% (374/1262) were diagnosed with DM prior to TB diagnosis. A comparison of patients with and without DM is shown in table 2. Patients with DM were more likely to be female, older and from a higher socioeconomic level (as indicated by household characteristics), with greater access to Social Security and more years of formal education. Illegal drug and alcohol usage, homelessness and HIV infection were more frequent among subjects without DM. Retreated DM patients were more likely to harbour isolates with joint resistance to isoniazid and rifampin. Patients with DM were more likely to have TB reactivation as indicated by unique IS6110 fingerprints.
Clinical evaluation showed that patients with DM had more severe clinical manifestations (ie, higher frequency of cavities on chest x-rays). This observation was confirmed when the association between previous DM diagnosis and cavities on chest x-rays was tested by multivariate analysis (tables 2 and 4). We were unable to obtain chest x-rays in 189 patients, mainly because they were unable or unwilling to attend the hospital where the studies were conducted. Online supplementary table 1 summarises the comparison between patients with and without a chest x-ray. Characteristics such as diagnosis of DM, sex, previous TB treatment, number of bacilli per oil immersion field, drug resistance and HIV infection were similar between the two groups.
Seventeen patients refused treatment. Of the 1056 patients who completed treatment, 761 (72.06%) initiated treatment within 10 days of their diagnosis and 1039 (98.39%) received directly observed therapy. Table 3 shows the outcomes during and at the end of treatment and after treatment was completed. Bivariate and multivariate analyses controlled for sociodemographic and clinical variables showed that patients with DM had a higher probability of delayed sputum conversion and treatment failure (tables 3 and 4).
Patients were followed for an average of 61.7 months (IQR 26.6–97.4). Cox adjusted hazards ratios controlled for relevant confounding factors revealed that patients with DM had a significantly greater probability of recurrence and relapse (table 4).
There were 26 patients who were unaware of their diagnosis of DM until after their diagnosis of TB, which represent 6.50% of the 400 patients with a diagnosis of DM. Multivariate models reanalysing the association of a diagnosis of DM showed that DM continued to be associated with an increased likelihood of cavities on the chest x-ray, sputum conversion >60 days, treatment failure, recurrence and relapse (see online supplementary table 2).
We were able to fingerprint both M tuberculosis isolates in 64 of 107 patients (59.81%) with a recurrence, including 38 of 74 patients (51.35%) with a relapse. Most of the second episodes among patients with DM were caused by bacteria with the same genotype but, in 5 of 26 instances (19.23%), reinfection with a different strain occurred (table 3). There was no difference in the proportion of individuals who recurred within 12 months after completion of treatment and harboured the same genotype (26/55, 47.27%) and individuals who were reinfected with a different genotype (2/9, 22.22%, p=0.2).
The frequencies of death during treatment among patients with and without DM were similar according to crude analyses. After TB treatment was completed, mortality due to some other cause than TB was higher among patients with DM (table 3). Patients with DM had a lower survival rate when death from other causes was analysed (figure 1A, p<0.001), while patients without DM had lower survival rates when death from TB was analysed (figure 1B, p=0.012). Renal failure, alcoholic cirrhosis of the liver, cardiovascular diseases and DM were listed as the main causes of death on the death certificate in those patients whose death was attributed to a cause other than TB (table 5).
The data presented in this prospective cohort study show that patients with DM and TB have more severe clinical manifestations, delayed sputum conversion and a higher probability of treatment failure, recurrence and relapse. Using molecular tools, we found that subsequent episodes among patients with DM are due to bacteria with the same genotype or are caused by reinfection with bacteria with a different genotype. It is therefore imperative to implement the collaborative framework recommended by WHO and the Union broadly to prevent and control TB among patients with DM.4
Treatment outcomes in patients with TB and DM have been a subject of debate. Although some data indicate that patients with DM are probably more likely to experience negative outcomes, the published literature suffers from limitations associated with study design, methods of diagnosing DM, outcome definitions and failure to control for important confounders. Moreover, there is a deficiency in the number of studies performed in settings with high burdens of both diseases.5
We found that clinical and radiological manifestations are more severe among patients with DM and TB, as has been previously described.21–23 Our observation regarding delayed sputum conversion at 60 days agrees with most studies, although the timing of delayed conversion has been shown to vary.5
The independent risk of failure as a sole outcome associated with DM in our study was 2.93 (95% CI 1.18 to 7.23), which is higher than the previously reported pooled risk associated with the combined outcome of failure and death of 1.69 (95% CI 1.36 to 2.12).5 In the majority of previous studies the inability to analyse failure as the sole outcome is most likely due to small sample sizes.23 ,24
We also found higher independent risks of recurrence and relapse among patients with DM. In contrast to the previous literature,5 the use of M tuberculosis fingerprinting allowed us to document whether patients with DM experiencing subsequent episodes had TB caused by the same bacteria as the previous episode or reinfection with a different strain. Molecular tools have provided direct evidence for the occurrence of exogenous reinfection among both immunocompetent and immunocompromised individuals,16 although patients with DM have not been specifically studied. We demonstrated that patients with DM are more likely to have infections caused by the same bacteria as the previous episode. However, the occurrence of exogenous reinfection in one-fifth of the cases merits further consideration. Exogenous TB reinfection in patients with DM might be due to nosocomial TB transmission occurring as a result of attending clinics where there is a high prevalence of diagnosed and undiagnosed TB, as has been described for HIV-infected patients.25
Based on our results, DM thus appears to have an aggravating effect on TB. Although the physiopathology of the coexistence of these two diseases has yet to be elucidated, changes to the immune system of patients with active TB and DM have been described, including reductions in the activation of alveolar macrophages and in the capacity to produce interleukin 10,26 ,27 reductions in Th1 cytokines28 ,29 and alterations in the innate response.30
We documented higher rates of mortality from causes other than TB among patients with DM. We studied death during treatment and extended follow-up to investigate mortality after completion of treatment. The existing literature indicates a higher risk of death during TB treatment, particularly when adjusting for confounding factors,5 but a limitation of these studies has been ascertaining the cause of death. In this work we based the cause of death on two of three criteria as previously reported.11 Other authors have also described higher rates of overall mortality among patients with DM who had TB without determining TB as the cause of death.31 ,32 We postulate that earlier and higher rates of non-TB-related mortality in patients with DM explain why we were unable to detect higher rates of TB-related deaths despite poor TB treatment outcomes among them.
Strengths and limitations of the study
The strengths of our study include the following: (1) recruitment of patients previously diagnosed with DM to avoid the inclusion of patients with active TB and impaired glucose tolerance that improves or returns to levels prior to TB disease after receiving effective TB treatment; (2) a large sample size; (3) survival analyses that controlled for relevant confounders, thus permitting the detection of negative outcomes including relapse and recurrence; and (4) the use of molecular tools that allowed us to compare strains between subsequent episodes in the same patient. Our approach therefore overcomes many of the limitations of previous studies that were identified in the systematic review conducted by Baker et al.5
One limitation is that, because significant socioeconomic differences were noted between patients with and without DM, it is possible that persons with better access to healthcare services were more likely to be diagnosed with both DM and TB. However, TB cases were actively recruited by community health workers and prior analyses indicated that TB is more commonly diagnosed in persons of lower socioeconomic status.33 Moreover, there were no differences between patients with and without DM with regard to indicators of health access. Thus, there was no differential opportunity for the diagnosis of TB according to the availability of health services. The study also does not reflect the long-term evolution of DM control as we did not measure metabolic control or complications. We were therefore unable to determine whether metabolic control had any impact on clinical outcomes. We may have underestimated the real frequency of DM as the prevalence of DM was based on self-reporting of diagnosis by a physician. This method has been found to be adequate for epidemiological studies, although it underestimates the real frequency of DM by approximately 20%.34 We consider our data to be unbiased since, when we reanalysed data including both patients with a previous DM diagnosis and individuals who were unaware of their DM until after TB was diagnosed, observed associations continued to be statistically significant.
Conclusions and policy implications
Our results show that DM can exacerbate the clinical course of TB. Given the absence of international guidelines on the joint management and control of TB and DM, national programmes need to establish a coordinated response to these two diseases at both the organisational and clinical levels.4 The occurrence of exogenous reinfection in patients with subsequent episodes of TB emphasises the need to prevent transmission in high-risk environments, particularly in healthcare settings.
Given the growing epidemic of DM worldwide, it is necessary to add DM prevention and control strategies to TB control programmes and vice versa and to evaluate their effectiveness. The concurrence of both diseases potentially carries a risk of global spreading, with serious implications for TB control and the achievement of the United Nations Millennium Development Goals.35
We thank the population, patients and healthcare workers of the Orizaba Health Jurisdiction, Mexico for their generous support and cooperation. The authors wish to thank Drs Carmen Soler and Carlos Conde for performing HIV testing and Drs Manuel Tielve, Ruben Acevedo and Luis Felipe Alva for chest radiograph interpretation. The authors especially thank Dr Peter Small for his contributions in initiating this population-based cohort study.
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Files in this Data Supplement:
- Data supplement 1 - Online tables
Contributors MEJC, LPCH, LGG, JSO and APL participated in the study design, data management, data analysis and wrote the manuscript. LFR, GDS, MBV, SCQ, EFG, RBS, NTV and RAMG contributed to the study design and implementation. RCM and NMR participated in the study design and contributed to the analyses. All authors had full access to all of the data and analysis results and can take responsibility for the integrity of the data and the accuracy of the data analysis. LGG is the guarantor.
Funding This work was supported by the Mexican Secretariat of Health, the National Institutes of Health of the USA (A135969 and K01TW000001), the Wellcome Trust (176W009), the Howard Hughes Medical Institute (55000632) and the Mexican Council of Science and Technology (SALUD 2003-C01-132, SEP-2004-C01-47499/A1, FOSSIS 2005-03 (15203), FOSSIS 2005-2 14475, SALUD-2008-C01-87332, SALUD-2010-01-140178). The funding agencies did not participate in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
Competing interests None.
Ethics approval Ethical approval was obtained from the Ethical Commission of the Instituto Nacional de Salud Pública (approval numbers CI-017, 107, 180, 211 and 275). Participants gave informed consent before taking part. All TB patients were referred to health facilities to receive treatment in accordance with the stipulations of the National Program for the Prevention and Control of TB and the National Program for the Prevention and Control of DM.
Provenance and peer review Not commissioned; externally peer reviewed.
Open Access This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/