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Integrating TB and non-communicable diseases services: Pilot experience of screening for diabetes and hypertension in patients with Tuberculosis in Luanda, Angola

  • Giulia Segafredo ,

    Contributed equally to this work with: Giulia Segafredo, Ugo Fedeli

    Roles Formal analysis, Supervision, Validation, Visualization, Writing – original draft

    g.segafredo@cuamm.org

    Affiliation Planning and Operational Research Unit, Doctors with Africa CUAMM, Padova, Italy

  • Anil Kapur ,

    Roles Validation, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation World Diabetes Foundation, Bagsvaerd, Denmark

  • Claudia Robbiati ,

    Roles Data curation, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Program Department, Doctors with Africa CUAMM Angola, Luanda, Angola

  • Nsuka Joseph ,

    Roles Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation DAT TB Dispensary, Luanda, Angola

  • Joseth Rita de Sousa ,

    Roles Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Non Communicable Diseases Section, Ministry of Health, Luanda, Angola

  • Giovanni Putoto ,

    Roles Conceptualization, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Planning and Operational Research Unit, Doctors with Africa CUAMM, Padova, Italy

  • Fabio Manenti ,

    Roles Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Program Department, Doctors with Africa CUAMM, Padova, Italy

  • Andrea Atzori ,

    Roles Funding acquisition, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation International Relations Department, Doctors with Africa CUAMM, Padova, Italy

  • Ugo Fedeli

    Contributed equally to this work with: Giulia Segafredo, Ugo Fedeli

    Roles Formal analysis, Software, Validation, Visualization, Writing – original draft

    Affiliation Epidemiological Department (SER), Azienda Zero, Padova, Italy

Abstract

Background

In the face of the rising burden of non-communicable diseases like diabetes mellitus (DM) and hypertension in sub-Saharan Africa, where infectious diseases like Tuberculosis (TB) are still endemic, the double burden of communicable and non-communicable diseases appears to be increasing rapidly. However, the size of the problem and what is the proper health system approach to deal with the double burden is still unclear. The aim of this project was to estimate the double burden of DM hypertension and TB and to pilot the integration of the screening for DM and hypertension in the TB national programs in six TB centers in Luanda, Angola.

Methods

All newly diagnosed pulmonary TB (PTB) patients accessing six directly observed treatment (DOT) centers in Luanda were screened for diabetes and hypertension. TB diagnosis was made clinically and/or with sputum microscopy DM diagnosis was made through estimation of either fasting plasma glucose (FPG) (considered positive if ≥ 7∙0mmol/l) or random plasma glucose (considered positive if ≥ 11∙1mmol/l). Uncontrolled hypertension was defined as systolic blood pressure (SBP) of ≥ 140 mm of Hg and/or diastolic blood pressure (DBP) of ≥ 90 mm of Hg, irrespective of use of antihypertensive drug.

Results

Between January 2015 and December 2016, a total of 7,205 newly diagnosed patients with PTB were included in the analysis; 3,598 (49∙9%) were males and 3,607 females. Among 7,205 PTB patients enrolled, blood pressure was measured in 6,954 and 1,352 (19∙4%) were found to have uncontrolled hypertension, more frequently in females (23%) compared to males (16%). In multivariate logistic regression analysis uncontrolled hypertension was associated with increasing age and BMI and ethnic group. The crude prevalence of DM among TB patients was close to 6%, slightly higher in males (6∙3%) compared to females (5∙7%). Age adjusted prevalence was 8%. Impaired fasting glucose (>6∙1 to <7∙0 mmol/L) was detected in 414 patients (7%). In multivariate logistic regression analysis DM prevalence was higher in males and increased with increasing age and BMI.

Interpretation

TB patients have a considerable hypertension and diabetes co-morbidity. It is possible to screen for these conditions within the DOTs centres. Integration of health services for both communicable and non-communicable diseases is desirable and recommended.

Introduction

Despite substantial progress in the last two decades, Tuberculosis (TB) remains a considerable global public health concern, particularly among the poor and vulnerable populations [1]. However, even if low and middle-income countries still struggle to gain control over communicable diseases, they are being confronted with a new health-challenge. Non-communicable diseases (NCDs) are now the leading global cause of death and are responsible for 70% of deaths worldwide and approximately 80% of all NCD deaths in 2008 occurred in low and middle-income countries also prematurely. [2]

Rapid demographic, sociocultural, nutrition and economic transitions are driving an increase in the risk and prevalence of NCDs, such as diabetes, cardiovascular diseases and cancer, especially in sub-Saharan Africa. [3,4]

The 2017 Global Burden of Disease, showed a 2-fold increase in terms of disability-adjusted life year (DALYs) and deaths attributable to diabetes between 1990 and 2017 in sub-Saharan Africa [5]. The impact of this transitions and their health consequences, therefore, are going to be massive and health-systems, still very fragile, will need to find effective and sustainable approaches to address the multi-faceted challenge of infectious diseases while also addressing NCDs. [6] In order to better understand how to address this double burden, it is important to improve the understanding of how communicable and non-communicable diseases are linked. Questions regarding the burden of the co-morbidity, the increased risk that the co-morbidity imposes, what sustainable health-system approaches can be taken to address both communicable and non-communicable diseases, especially in fragile countries, are not yet fully answered. The link between tuberculosis and diabetes has been widely described. The evidence showing the association between the two diseases is now robust and WHO refers to the interaction as an ‘intersecting epidemic’. [7] Diabetes increases the risk of active tuberculosis, of progression from latent to active infection and of TB transmission. In addition to this, DM patients have a poorer response to TB treatment, resulting in a higher risk of treatment failure and, as a consequence, a higher risk of worse TB outcome. [1,79] On the other hand, being a systemic infection, TB can worsen glycemic control and make the clinical management of DM more complicated. [10,11] However, diabetes is not the only disease, among NCDs, with an increasing prevalence in sub saharan Africa. Cardiovascular diseases (CVD) are expected to be the biggest cause of death for most developing countries by 2020, similar to the current epidemiology of CVD in developed nations. [12,13] The increase in prevalence of traditional risk factors such as obesity, kidney diseases and hypertension explains much of this increase, but studies indicate that the burden of infectious diseases may also contribute to the development of CVD. [13,14, 15] The relationship between hypertension and TB is less clear than the one between TB and DM. [16]. However, it has been suggested that the triggering of immunological response due to a systemic infection, can cause an impairment of the endothelial function and increase the risk of CVD and, possibly, hypertension. [17,18] On the other hand, hypertension may have some effect on the immune system. [19] Irrespective of what is the actual pathological pathway that links TB and NCDs, it clearly appears that in the coming years, Sub-Saharan Africa will face the challenge of dealing with high burden of infectious diseases while also needing to address the increasing burden of NCDs. [6] Bidirectional screening and integrated management can help to improve early diagnosis and health outcomes for both conditions [1,7] but there is inadequate evidence, so far, on the feasibility and effectiveness of this approach.

Doctors with Africa CUAMM, the first Italian non-governmental organization, carried out this pilot project, aimed at defining the burden of co-morbidity and to explore the feasibility of integrating screening for diabetes and uncontrolled hypertension in newly diagnosed TB patients in an urban population of Luanda the capital city of Angola, receiving treatment within the Angolan National Tuberculosis program.

Materials and methods

Settings

The project was carried out in Luanda, the capital of Angola. According to the last census, about 3 million inhabitants live in the capital, although unofficial sources estimate that at least one third of the country population (30 millions) lives in the capital. The National TB Prevention and Control Program (NTP) relies on Directly Observed Therapy, Short-Course (DOTS) centers for the detection and follow up of TB patients. Six DOTS centers were purposively included in the project, namely: Hospital Divina Providência, Municipality of Kilamba Kiaxi; Hospital do Sanatório, Municipality of Kilamba Kiaxi; Centro de saúde de Cacuaco, Municipality of Cacuaco; Centro de Saúde do Cariango, Municipality of Cazenga; Dat-Dispensário Anti Tuberculosis Municipality of Luanda; Centro de Saúde da Boa Nova, Municipality of Viana. By virtue of their location in the city, the 6 DOTS centers provide a representative sample of the urban population of Angola.

Patients and procedures

All newly diagnosed TB patients aged ≥ 15 years who attended one of the six DOT centers from January 2015 to December 2016 were offered the opportunity to be screened for DM and hypertension and sensitization about TB comorbidities. Sample size was not pre-determined as the screening was offered to all patients attending the selected clinics. Patients unwilling to participate or unable to give informed consent were excluded.

Once that the patient accepted to participate, a structured questionnaire addressing socio-demographic and clinical information was administered by the study personnel (nurses and LAB technician). (S1 and S2 Files) After the questionnaire was completed patients underwent clinical examination.

Capillary blood glucose was determined using STATSTRIP XPRESS GLU/KET (Nova Biomedica) blood glucose meters which are calibrated to provide plasma equivalent results.

Based on the time from the last food intake, capillary blood glucose was considered fasting glucose, FBG, if >8 hours had elapsed since last meal or capillary random glucose, RBG, if the last meal was <8 hours at the time of blood collection.

A patient was considered as having DM if at least one of these criteria was satisfied: fasting plasma glucose ≥126 mg/dL; random plasma glucose ≥200 mg/dL; previous diagnosis of DM. We considered impaired glucose tolerance if FBS was ≥110 mg/dL, but <126 mg/dL. Blood pressure was measured using an automatic digital blood pressure monitor: PIC Classic Check (Artsana S.p.a). Uncontrolled blood pressure was defined as diastolic blood pressure ≥ 90 mm of Hg and/or a systolic blood pressure ≥ 140 mm of Hg, irrespective of use of any antihypertensive drug. Weight and height were measured with Eye-Level Mechanical Physician Scales Cardinal DETECTO 2391 (Cardinal Scale Manufacturing Co.). BMI was calculated according to the WHO international classification and patients were considered underweight if BMI was <18∙5 kg/m2, within the normal range if BMI was 18∙5–24∙9 kg/m2, overweight if BMI 25–29∙9 kg/m2, and obese if BMI ≥30 kg/m2. [19]

After clinical examination the patient received proper and exhaustive information on risk factors for DM-HTN and healthy lifestyle by community health workers at DOTS centres.

Statistical analysis

Associations between categorical variables were assessed by means of the Chi-square test. Demographic and clinical factors significantly associated with presence of diabetes mellitus or to uncontrolled hypertension were selected by means of stepwise logistic regression models constrained to keep gender and age as determinants; the final models provided the associated Odds Ratios with 95% Confidence Intervals.

Ethical approval

According the National regulation, the protocol was approved by the ethical committee of the National Directorate of Public Health. All patients provided a written informed consent before inclusion in the study.

Role of funding source

The funding source did not participate to study design, data collection and analysis or the interpretation of data.

The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

Between January 2015 and December 2016, a total of 7,205 newly diagnosed TB patients were included in the analysis, of which, 3,598 (49,9%) were males and 3,607 females.

759 patients were enrolled at the Hospital Divina Providência, 540 in the Hospital do Sanatório, 815 in the Centro de saúde de Cacuaco, 1,714 in the Centro de Saúde do Cariango, 2,103 in the Dat-Dispensário Anti Tuberculosis and 1,274 Centro de Saúde da Boa Nova.

62% patients were smear positive, and 48% of reported at least four TB-related symptoms (cough, hemoptysis, fever, asthenia, dyspnea, weight loss, night sweat, chest pain).

30% of the patients were in the 25–34 year-age-category and 54% belonged to the the Kimbundu etnic group. 61% of the study population had at least a secondary level of education and illiteracy was more frequent in females.

Smoking and alcohol consumption were more frequent among males than females. Table 1 provides the characteristics of the study subjects.

thumbnail
Table 1. Characteristics of the study population overall and segregated by gender.

n is the absolute number (%) indicate the proportion in the general population or among male/female population.

https://doi.org/10.1371/journal.pone.0218052.t001

Previous diagnosis of hypertension and DM was reported by 18% and 1% of the study subjects respectively. As regards BMI class distribution, 40% of the patients were underweight (more men than women) while 13% were overweight or obese (more women than men).

Among 7,205 TB patients enrolled, 6,954 had valid documented blood pressure record. Of these 1,352 (19∙4%) had uncontrolled blood pressure, more women (23%) compared to men (16%). In multivariate logistic regression analysis hypertension was associated with age, BMI and ethnic group. (Table 2)

thumbnail
Table 2. Factors associated with the probability of having uncontrolled blood pressure.

Odds Ratios estimated by logistic regression analysis.

https://doi.org/10.1371/journal.pone.0218052.t002

Four-hundred-thirty-one TB patients satisfied at least one of the criteria for DM; of these 14% were known cases of DM and 86% were newly diagnosed on testing. The crude prevalence rate for DM was 6%, slightly higher in males (6∙3%) than females (5∙7%). When DM prevalence was age-standardized (WHO 2011 criteria), it reached 8%.

368 (85%) patients were diagnosed based on raised fasting plasma glucose, 23 patients resulted to have random blood sugar ≥200 and only 61 patients with DM were previously diagnosed for the disease (Table 3).

thumbnail
Table 3. Prevalence of previous diagnosis of DM, FBS, RBS.

https://doi.org/10.1371/journal.pone.0218052.t003

Impaired fasting glucose (IFG) was detected in 414 patients (7%). Thus almost 12% of the study population had dysglycaemia.

The prevalence of diabetes increased with age and lower literacy. Minor variations were found based on ethnicity, with Kimbundu and Makongo ethnic groups displaying a higher prevalence. A slightly higher prevalence of DM was seen among TB patients who smoked.

The prevalence of DM was two-times higher among subjects with uncontrolled hypertension, and was significantly higher in overweight or obese subjects (Table 4).

In multivariate logistic regression analysis DM prevalence was higher in males than females and increased with increasing age and BMI (Table 5).

thumbnail
Table 5. Factors associated with the probability of having DM.

Odds Ratios estimated by logistic regression analysis.

https://doi.org/10.1371/journal.pone.0218052.t005

Discussion

The aim of the project was to explore the feasibility of integrating screening activities for uncontrolled hypertension and diabetes mellitus within routine TB activities rolled out by the NTP and to better understand what is the burden of the two conditions among newly diagnosed TB patients in an urban population of Luanda, the capital of Angola.

The crude prevalence of DM among TB patients observed in the selected DOTS centres in Luanda was 6∙3% for males and 5∙7% for females, and the age-standardized prevalence was 8%. The International Diabetes Federation [20] estimates a prevalence of 3∙2% in the general Angolan population, however further national data report figures ranging from 2∙8%-3∙3% [21] to 5∙9% [22,23]. The difference in terms of population tested and the wide range of prevalence data, make the understanding of the actual burden very difficult. Despite this uncertainty, our findings suggest that TB population could have a higher risk of DM compared to that of the general (Non-TB) population as reported from other developing countries both in Africa [24,25] and other parts of the world. [2628] Only 1% of the newly diagnosed TB population had previously known DM, underlining the importance and utility of integrating screening for diabetes in patients with TB. Patients with TB and DM tended to be older and had a higher BMI, which is in line with what is already known.

In addition 414 patients had impaired fasting glucose, which is associated with impaired suppression of hepatic glucose output and impaired insulin secretion and is considered a precursor for diabetes (a pre-diabetes stage), suggesting a high risk for future DM in this population.

Almost one in five (19∙4%) of the newly diagnosed TB patients also had uncontrolled hypertension. The prevalence rose to one in three (33%) in TB patients with co-morbid DM. The prevalence of hypertension among newly diagnosed TB patients in our study is similar to that reported by Pires et al. in a community-based survey also in an urban setting in Dande in northern Angola. [29] They reported a 23% prevalence of hypertension and, as in our data, HTN seemed to be significantly associated to age and BMI and inversely associated with the level of education. Other studies have reported a much higher rate of hypertension in the general population in Angola. Paquissi et al. reported hypertension prevalence of 38∙5% in patients attending the outpatient clinic of the general hospital of Huambo [30]. In this study hypertension was significantly associated with age and female gender. Evaristo-Neto carried out a cross-sectional study in a rural community in Bengo found 38∙7% prevalence of hypertension in this community [21]. Lastly, Capingana et al. detected a hypertension prevalence of 45% of among public workers in Luanda. [23] All these data confirm the generally high burden of hypertension in the general population of Angola. Our data does not suggest any linkage between TB and higher prevalence of hypertension per se other than through the linkage of DM and hypertension.

The project underwent through several implementation challenges that should be taken into consideration in case a scale up is planned. To our knowledge, this was the first experience of integration of the two services within the country. Therefore, no national guidelines or protocols are available for the integrated diagnosis and management of the two diseases. This could be overcome through the creation of a functional TB/DM working group at national level to develop clear strategies and structure a common training of TB and DM healthcare workers. Integration of the two services could be further exploited to improve the follow up of DM patients which resulted very difficult both for the lack of human resources dedicated to the recall of the patients but also for the lack of free services and for the national stock out of medication both for TB and DM.

Finally, data collection system and data quality should be strengthened, the creation of a common framework of key performance indicators could be helpful to achieve these objectives.

Our study had a few limitations. Despite the substantial size of the study sample, we cannot consider our data fully representative of the general population of Angola. DOTs centres involved in the project are located in urban areas, therefore rural population was excluded. Only TB patients referred to DOTs center were invited to the screening, so TB patients not referred to health services are not represented. Our population only included TB patients, we did not study a control population without TB so our data does not allow direct comparison of DM and hypertension prevalence between TB and non-TB patients. We used glucometers to measure blood glucose and this certainly is not the most appropriate way to diagnose DM and blood glucose measurement was only done once. This approach was adopted because this is perhaps the only feasible way in low-resource settings and has been used in other studies in the developing world. However, to our knowledge, this is the first analysis of the TB–NCD co morbidity ever made in Angola.

Although further evidence needs to be generated, our study shows the considerable high burden of comorbidity of TB, DM and hypertension in an urban setting in Angola. This double-burden (infectious and non-communicable diseases) represents a huge public health challenge which requires more research to better understand the association between TB and NCDs and to develop a model of care that includes primary prevention and health education activities and is able to provide integrated health-services for both communicable and non communicable health conditions. Our pilot project demonstrates that integration of TB program and NCDs activities for the detection of DM and hypertension is feasible and confirms the need of further strengthening the implementation of policies, guidelines and monitoring and ensuring availability of medicines, basic technologies and procedures in the public health sector to address the double burden of TB and DM as advocated in the Bali Declaration. [31]

Supporting information

References

  1. 1. Lönnroth K, Roglic G, Harries AD. Improving tuberculosis prevention and care through addressing the global diabetes epidemic: from evidence to policy and practice. Lancet Diabetes Endocrinol. 2014; 2 (9):730–9 pmid:25194886
  2. 2. WHO -NONCOMMUNICABLE DISEASES PROGRESS MONITOR 2017, Global Health Observatory (GHOdata
  3. 3. World Health Organization. Background paper: Non-communicable diseases in low- and middle-income countries. Geneva: WHO; 2010 Available at: http://www.who.int/nmh/events/2010/Tehran_Background_Paper.pdf (accessed December 15th 2017).
  4. 4. Hunter-Adams J, Yongsi BN, Dzasi K, Parnell S, Boufford JI, Pieterse E et al. How to address non-communicable diseases in urban Africa. Lancet Diabetes Endocrinol. 2017;5(12):932–934 pmid:28797749
  5. 5. Institute for Health Metrics and Evaluation. Global burden of disease (GBD). http://www.healthdata.org/gbd (accessed May 10, 2019).
  6. 6. Atun R, Davies JI, Gale EAM, Bärnighausen T, Beran D, Kengne AP, et al. Diabetes in sub-Saharan Africa: from clinical care to health policy. Lancet Diabetes Endocrinol. 2017;5(8):622–667. pmid:28688818
  7. 7. Collaborative framework for care and control of tuberculosis and diabetes, WHO 2011
  8. 8. Harries AD, Lin Y, Satyanarayana S, Lönnroth K, Li L, Wilson N, et al.The looming epidemic of diabetes-associated tuberculosis: learning lessons from HIV-associated tuberculosis. Int J Tuberc Lung Dis 2011; 15(11):1436–44. pmid:21902876
  9. 9. Mathema B, Andrews JR, Cohen T, Borgdorff MW, Behr M, Glynn JR, et al. J Infect Dis. 2017;216(suppl 6):S644–S653. pmid:29112745
  10. 10. Harries AD, Satyanarayana S, Kumar AMV, Nagaraja SB, Isaakidis P, Malhotra S, et al. Epidemiology and interaction of diabetes mellitus and tuberculosis and the challenges for care: a review. Public Health Action 2013; 3(Suppl 1): S3–9, pmid:26393066
  11. 11. Stevenson CR, Forouhi NG, Roglic G. Diabetes and tuberculosis: the impact of the diabetes epidemic on tuberculosis incidence. BMC Public Health 2007;7:234. pmid:17822539
  12. 12. Celermajer DS, Chow CK, Marijon E, Anstey NM, Woo KS. Cardiovascular disease in the developing world: prevalences, patterns, and the potential of early disease detection. J Am Coll Cardiol. 2012;60(14):1207–16. pmid:22858388
  13. 13. Wurie HR, Cappuccio FP. Cardiovascular disease in low- and middle-income countries: an urgent priority. Ethn Health. 2012;17(6):543–50. pmid:23534502
  14. 14. Gansevoort Ron T, Correa-Rotter Ricardo, Hemmelgarn Brenda R, Jafar Tazeen H, Lambers Heerspink Hiddo J, Mann Johannes F, et al., Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet 2013; 382 (9889):158–69
  15. 15. Epstein SE, Zhu J, Najafi AH, Burnett MS. Insights into the role of infection in atherogenesis and in plaque rupture. Circulation. 2009;119(24):3133–41. pmid:19546396
  16. 16. Seegert AB, Rudolf F, Wejse C, Neupane D.Tuberculosis and hypertension-a systematic review of the literature. Int J Infect Dis. 2017;56:54–61. pmid:28027993
  17. 17. Huaman MA, Henson D, Ticona E, Sterling TR, Garvy BA. Tuberculosis and Cardiovascular Disease: Linking the Epidemics. Trop Dis Travel Med Vaccines 2015, 1: 10. pmid:26835156
  18. 18. Rodríguez-Iturbe B, Pons H, Quiroz Y, Johnson RJ. Role of the Immune System in Hypertension. Physiol Rev. 2017 Jul; 97(3): 1127–1164.Caillon A, Schiffrin EL. Role of inflammation and immunity in hypertension: recent epidemiological, laboratory, and clinical evidence. Curr Hypertens Rep 2016;18(3):21. pmid:28566539
  19. 19. WHO. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii, 1–253. pmid:11234459
  20. 20. International Diabetes Federation IDF Diabetes Atlas 8th edition: 2017. http://www.diabetesatlas.org/resources/2017-atlas.html (accessed January 2018).
  21. 21. Evaristo-Neto AD, Foss-Freitas MC, Foss MC. Prevalence of diabetes mellitus and impaired glucose tolerance in a rural community of Angola. Diabetol Metab Syndr. 2010;2:63. pmid:21040546
  22. 22. http://www.who.int/diabetes/global-report/en/ - Country profiles (accessed December 2017)
  23. 23. Capingana DP, Magalhães P, Silva AB, Gonçalves MA, Baldo MP, Rodrigues SL, et al. Prevalence of cardiovascular risk factors and socioeconomic level among public-sector workers in Angola. BMC Public Health. 2013;13:732. pmid:23924306
  24. 24. Ogbera AO, Kapur A, Chinenye S, Fasanmade O, Uloko A, Odeyemi K. Undiagnosed diabetes mellitus in tuberculosis: A Lagos report. Indian J Endocrinol Metab. 2014;18(4):475–9 pmid:25143901
  25. 25. Faurholt-Jepsen D, Range N, Praygod G Jeremiah K, Faurholt-Jepsen M, Aabye MG, Changalucha J, et al. Diabetes is a risk factor for pulmonary tuberculosis: a case-control study from Mwanza, Tanzania. PLoS One. 2011;6(8):e24215 pmid:21912626
  26. 26. Wang Q, Ma A, Han X, Zhao S, Cai J, Ma Y, et al. Prevalence of type 2 diabetes among newly detected pulmonary tuberculosis patients in China: a community based cohort study. PLoS One. 2013;8(12):e82660. pmid:24367535
  27. 27. India Tuberculosis-Diabetes Study Group. Screening of patients with tuberculosis for diabetes mellitus in India. Trop Med Int Health. 2013;18(5):636–45. pmid:23458555
  28. 28. Viswanathan V, Kumpatla S, Aravindalochanan V, Rajan R, Chinnasamy C, Srinivasan R, et al. Prevalence of diabetes and pre-diabetes and associated risk factors among tuberculosis patients in India. PLoS One. 2012;7(7):e41367. pmid:22848473
  29. 29. Pires JE, Sebastião YV, Langa AJ, Nery SV. Hypertension in Northern Angola: prevalence, associated factors, awareness, treatment and control.BMC Public Health. 2013;13:90. pmid:23363805
  30. 30. Paquissi FC, Cuvinje AB, Cuvinje AB, Paquissi AM. Hypertension among Outpatients at a General Hospital in South Angola: Prevalence,Awareness, Treatment, and Control. Clin Med Insights Cardiol. 20163;10:111–6. pmid:27398036
  31. 31. Kapur A, Harries AD, Lönnroth K, Wilson P, Sulistyowati LS. Diabetes and tuberculosis co-epidemic: the Bali Declaration. Lancet Diabetes Endocrinol. 2016; 4(1):8–10. pmid:26620249