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Jackson-Morris A, Masyuko S, Morrell L, Kataria I, Kocher EL, Nugent R. Tackling syndemics by integrating infectious and noncommunicable diseases in health systems of low- and middle-income countries: A narrative systematic review. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003114. [PMID: 38753811 PMCID: PMC11098501 DOI: 10.1371/journal.pgph.0003114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 03/25/2024] [Indexed: 05/18/2024]
Abstract
The co-occurrence of infectious diseases (ID) and non-communicable diseases (NCD) is widespread, presenting health service delivery challenges especially in low-and middle-income countries (LMICs). Integrated health care is a possible solution but may require a paradigm shift to be successfully implemented. This literature review identifies integrated care examples among selected ID and NCD dyads. We searched PubMed, PsycINFO, Cochrane Library, CINAHL, Web of Science, EMBASE, Global Health Database, and selected clinical trials registries. Eligible studies were published between 2010 and December 2022, available in English, and report health service delivery programs or policies for the selected disease dyads in LMICs. We identified 111 studies that met the inclusion criteria, including 56 on tuberculosis and diabetes integration, 46 on health system adaptations to treat COVID-19 and cardiometabolic diseases, and 9 on COVID-19, diabetes, and tuberculosis screening. Prior to the COVID-19 pandemic, most studies on diabetes-tuberculosis integration focused on clinical service delivery screening. By far the most reported health system outcomes across all studies related to health service delivery (n = 72), and 19 addressed health workforce. Outcomes related to health information systems (n = 5), leadership and governance (n = 3), health financing (n = 2), and essential medicines (n = 4)) were sparse. Telemedicine service delivery was the most common adaptation described in studies on COVID-19 and either cardiometabolic diseases or diabetes and tuberculosis. ID-NCD integration is being explored by health systems to deal with increasingly complex health needs, including comorbidities. High excess mortality from COVID-19 associated with NCD-related comorbidity prompted calls for more integrated ID-NCD surveillance and solutions. Evidence of clinical integration of health service delivery and workforce has grown-especially for HIV and NCDs-but other health system building blocks, particularly access to essential medicines, health financing, and leadership and governance, remain in disease silos.
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Affiliation(s)
- Angela Jackson-Morris
- Center for Global Noncommunicable Diseases, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Sarah Masyuko
- Center for Global Noncommunicable Diseases, RTI International, Research Triangle Park, North Carolina, United States of America
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
| | - Lillian Morrell
- Center for Global Noncommunicable Diseases, RTI International, Research Triangle Park, North Carolina, United States of America
- Wilson Sheehan Lab for Economic Opportunities, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Ishu Kataria
- Center for Global Noncommunicable Diseases, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Erica L. Kocher
- Center for Global Noncommunicable Diseases, RTI International, Research Triangle Park, North Carolina, United States of America
- Emory University, Emory University, Atlanta, Georgia, United States of America
| | - Rachel Nugent
- Center for Global Noncommunicable Diseases, RTI International, Research Triangle Park, North Carolina, United States of America
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Alkabab YMA, Biswas S, Ahmed S, Paul K, Nagajyothi J, Banu S, Heysell S. Differentiating transient from persistent diabetic range hyperglycemia in a cohort of people completing tuberculosis treatment in Dhaka, Bangladesh. PLoS One 2021; 16:e0260389. [PMID: 34813631 PMCID: PMC8610235 DOI: 10.1371/journal.pone.0260389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/08/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND In recent non-pandemic periods, tuberculosis (TB) has been the leading killer worldwide from a single infectious disease. Patients with DM are three times more likely to develop active TB and poor treatment outcomes. Single glycemic measurements at TB diagnosis may inaccurately diagnose or mischaracterize DM severity. Data are limited regarding glycemic dynamics from TB diagnosis through treatment. METHODS Prospective study of glycemia dynamics in response to TB treatment measured glycosylated haemoglobin (HbA1c) in patients presenting to TB screening centres in Bangladesh to determine the prevalence and risk factors of hyperglycemia before and at TB treatment completion. RESULTS 429 adults with active TB disease were enrolled and divided into groups based on history of DM and initial HbA1c range: normoglycemia, prediabetes, and DM. DM was diagnosed in 37%. At treatment completion,14(6%) patients from the normoglycemia and prediabetes groups had HbA1c>6.5%, thus increasing the prevalence of DM to 39%. The number needed to screen to diagnose one new case of DM at TB diagnosis was 5.7 and 16 at treatment completion in the groups without DM. Weight gain>5% at treatment completion significantly increased the risk of hyperglycemia in the groups without DM at TB diagnosis (95% CI 1.23-26.04, p<0.05). CONCLUSION HbA1c testing prior to and at TB treatment completion found a high prevalence of prediabetes and DM, including a proportion found at treatment completion and commonly in people with a higher percentage of weight gain. Further longitudinal research is needed to understand the effects of TB disease and treatment on insulin resistance and DM complications.
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Affiliation(s)
- Yosra M. A. Alkabab
- University of Virginia Medical Center, Division of Infectious diseases and International Health, Department of Medicine, Charlottesville, VA, United States of America
| | - Samanta Biswas
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Enteric and Respiratory Infections, Infectious Diseases Division, Dhaka, Bangladesh
| | - Shahriar Ahmed
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Enteric and Respiratory Infections, Infectious Diseases Division, Dhaka, Bangladesh
| | - Kishor Paul
- The Kirby Institute, University of New South Wales, Surveillance Evaluation Research Program, Kensington, NSW, Australia
| | - Jyothi Nagajyothi
- Center for Discovery and Innovation, Hackensack University Medical Center, Nutley, New Jersey, United States of America
| | - Sayera Banu
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Enteric and Respiratory Infections, Infectious Diseases Division, Dhaka, Bangladesh
| | - Scott Heysell
- University of Virginia Medical Center, Division of Infectious diseases and International Health, Department of Medicine, Charlottesville, VA, United States of America
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Lopez K, Arriaga MB, Aliaga JG, Barreda NN, Sanabria OM, Huang CC, Zhang Z, García-de-la-Guarda R, Lecca L, Calçada Carvalho AC, Kritski AL, Calderon RI. Dysglycemia is associated with Mycobacterium tuberculosis lineages in tuberculosis patients of North Lima-Peru. PLoS One 2021; 16:e0243184. [PMID: 33507930 PMCID: PMC7843012 DOI: 10.1371/journal.pone.0243184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/08/2021] [Indexed: 12/13/2022] Open
Abstract
This study was performed to investigate the role of dysglycemia on the genetic diversity of Mycobacterium tuberculosis (MTB) among pulmonary tuberculosis (TB) patients to build scientific evidence about the possible mechanisms of TB transmission. MTB isolates obtained of patients affected by pulmonary tuberculosis from health care facilities of North Lima-Peru, were analyzed using whole genome sequencing and 24-locus mycobacterial interspersed repetitive-unit -variable-number tandem repeats (MIRU-VNTR). Subsequently, clinical and epidemiological characteristics were associated with clustering, lineages and comorbid conditions. The analysis carried out 112 pulmonary TB patients from various health centers in North Lima, 17 (15%) had diabetes mellitus (DM) and 33 (29%) had pre-diabetes (PDM). Latin American-Mediterranean, Haarlem and Beijing were the most frequent MTB lineages found in those patients. Previous TB (adjusted odds ratio [aOR] = 3.65; 95%CI: 1.32-17.81), age (aOR = 1.12; 95%CI: 1.03-1.45) and Beijing lineage (aOR = 3.53; 95%CI: 1.08-13.2) were associated with TB-DM comorbidity. Alcoholism (aOR = 2.92; 95%CI: 1.10-8.28), age (aOR = 1.05; 95%CI: 1.03-1.12) and Haarlem lineage (aOR = 2.54; 95%CI: 1.04-6.51) were associated with TB-PDM comorbidity. Beijing and Haarlem lineages were independently associated with TB-DM and TB-PDM comorbidities, respectively. Although these findings may be surprising, we must be cautious to suggest that dysglycemia could be associated with a highly clustering and predisposition of MTB lineages related to a serious impact on the severity of TB disease, which requires further research.
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Affiliation(s)
- Kattya Lopez
- Socios En Salud Sucursal Peru, Lima, Peru
- Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru
- Division of Rheumatology, Immunity and Inflammation, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - María B. Arriaga
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Bahia, Brazil
- Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Bahia, Brazil
| | | | | | | | - Chuan-Chin Huang
- Division of Global Health Equity, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Zibiao Zhang
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | | | | | - Anna Cristina Calçada Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Afrânio L. Kritski
- Faculdade de Medicina, Programa Acadêmico de Tuberculose, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Roger I. Calderon
- Socios En Salud Sucursal Peru, Lima, Peru
- Faculdade de Medicina, Programa Acadêmico de Tuberculose, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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4
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van Crevel R, Critchley JA. The Interaction of Diabetes and Tuberculosis: Translating Research to Policy and Practice. Trop Med Infect Dis 2021; 6:tropicalmed6010008. [PMID: 33435609 PMCID: PMC7838867 DOI: 10.3390/tropicalmed6010008] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 12/23/2020] [Accepted: 12/31/2020] [Indexed: 12/17/2022] Open
Abstract
Diabetes Mellitus increases the risk of developing Tuberculosis (TB) disease by about three times; it also doubles the risk of death during TB treatment and other poor TB treatment outcomes. Diabetes may increase the risk of latent infection with Mycobacterium tuberculosis (LTBI), but the magnitude of this effect is less clear. Whilst this syndemic has received considerable attention, most of the published research has focussed on screening for undiagnosed diabetes in TB patients or observational follow-up of TB treatment outcomes by diabetes status. There are thus substantial research and policy gaps, particularly with regard to prevention of TB disease in people with diabetes and management of patients with TB-diabetes, both during TB treatment and after successful completion of TB treatment, when they likely remain at high risk of TB recurrence, mortality from TB and cardiovascular disease. Potential strategies to prevent development of TB disease might include targeted vaccination programmes, screening for LTBI and preventive therapy among diabetes patients or, perhaps ideally, improved diabetes management and prevention. The cost-effectiveness of each of these, and in particular how each strategy might compare with targeted TB prevention among other population groups at higher risk of developing TB disease, is also unknown. Despite research gaps, clinicians urgently need practical management advice and more research evidence on the choice and dose of different anti-diabetes medication and effective medical therapies to reduce cardiovascular risks (statins, anti-hypertensives and aspirin). Substantial health system strengthening and integration may be needed to prevent these at risk patients being lost to care at the end of TB treatment.
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Affiliation(s)
- Reinout van Crevel
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6500HB Nijmegen, The Netherlands
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
- Correspondence:
| | - Julia A. Critchley
- Population Health Research Institute, St George’s, University of London, London SW17 ORE, UK;
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Ugarte-Gil C, Alisjahbana B, Ronacher K, Riza AL, Koesoemadinata RC, Malherbe ST, Cioboata R, Llontop JC, Kleynhans L, Lopez S, Santoso P, Marius C, Villaizan K, Ruslami R, Walzl G, Panduru NM, Dockrell HM, Hill PC, Mc Allister S, Pearson F, Moore DAJ, Critchley JA, van Crevel R. Diabetes Mellitus Among Pulmonary Tuberculosis Patients From 4 Tuberculosis-endemic Countries: The TANDEM Study. Clin Infect Dis 2021; 70:780-788. [PMID: 30958536 DOI: 10.1093/cid/ciz284] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 04/03/2019] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Diabetes mellitus (DM) increases active tuberculosis (TB) risk and worsens TB outcomes, jeopardizing TB control especially in TB-endemic countries with rising DM prevalence rates. We assessed DM status and clinical correlates in TB patients across settings in Indonesia, Peru, Romania, and South Africa. METHODS Age-adjusted DM prevalence was estimated using laboratory glycated hemoglobin (HbA1c) or fasting plasma glucose in TB patients. Detailed and standardized sociodemographic, anthropometric, and clinical measurements were made. Characteristics of TB patients with or without DM were compared using multilevel mixed-effect regression models with robust standard errors. RESULTS Of 2185 TB patients (median age 36.6 years, 61.2% male, 3.8% human immunodeficiency virus-infected), 12.5% (267/2128) had DM, one third of whom were newly diagnosed. Age-standardized DM prevalence ranged from 10.9% (South Africa) to 19.7% (Indonesia). Median HbA1c in TB-DM patients ranged from 7.4% (Romania) to 11.3% (Indonesia). Compared to those without DM, TB-DM patients were older and had a higher body mass index (BMI) (P value < .05). Compared to those with newly diagnosed DM, TB patients with diagnosed DM had higher BMI and HbA1c, less severe TB, and more frequent comorbidities, DM complications, and hypertension (P value < .05). CONCLUSIONS We show that DM prevalence and clinical characteristics of TB-DM vary across settings. Diabetes is primarily known but untreated, hyperglycemia is often severe, and many patients with TB-DM have significant cardiovascular disease risk and severe TB. This underlines the need to improve strategies for better clinical management of combined TB and DM.
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Affiliation(s)
- Cesar Ugarte-Gil
- School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Perú.,Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,TB Centre, London School of Hygiene and Tropical Medicine, United Kingdom
| | - Bachti Alisjahbana
- Department of Internal Medicine, Hasan Sadikin Hospital, Bandung, Indonesia.,Infectious Disease Research Center, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Katharina Ronacher
- South African Department of Science & Technology and the National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town.,Translational Research Institute, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Anca Lelia Riza
- Department of Internal Medicine and Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.,Human Genomics Laboratory, University of Medicine and Pharmacy of Craiova, Craiova, Romania.,Regional Centre for Human Genetics-Dolj, Emergency Clinical County Hospital, Craiova, Romania
| | - Raspati C Koesoemadinata
- Infectious Disease Research Center, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.,Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Stephanus T Malherbe
- South African Department of Science & Technology and the National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Ramona Cioboata
- Hospital for Infectious Diseases and Pneumology "Victor Babeș," Craiova, Romania
| | | | - Leanie Kleynhans
- South African Department of Science & Technology and the National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Sonia Lopez
- Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Prayudi Santoso
- Department of Internal Medicine, Hasan Sadikin Hospital, Bandung, Indonesia.,Infectious Disease Research Center, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ciontea Marius
- Pneumology Hospital Tudor Vladimirescu, Dobrita, jud. Gorj, Bucharest, Romania
| | - Katerine Villaizan
- Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Rovina Ruslami
- Infectious Disease Research Center, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.,Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Gerhard Walzl
- South African Department of Science & Technology and the National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Nicolae Mircea Panduru
- 2nd Clinical Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Hazel M Dockrell
- Department of Immunology and Infection, London School of Hygiene and Tropical Medicine, United Kingdom
| | - Philip C Hill
- Centre for International Health, University of Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Susan Mc Allister
- Centre for International Health, University of Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Fiona Pearson
- Population Health Research Institute, St Georges, University of London, United Kingdom
| | - David A J Moore
- TB Centre, London School of Hygiene and Tropical Medicine, United Kingdom.,Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Julia A Critchley
- Population Health Research Institute, St Georges, University of London, United Kingdom
| | - Reinout van Crevel
- Department of Internal Medicine and Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
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White LV, Edwards T, Lee N, Castro MC, Saludar NR, Calapis RW, Faguer BN, Fuente ND, Mayoga F, Saito N, Ariyoshi K, Garfin AMCG, Solon JA, Cox SE. Patterns and predictors of co-morbidities in Tuberculosis: A cross-sectional study in the Philippines. Sci Rep 2020; 10:4100. [PMID: 32139742 PMCID: PMC7058028 DOI: 10.1038/s41598-020-60942-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 02/19/2020] [Indexed: 12/22/2022] Open
Abstract
Diabetes and undernutrition are common risk factors for TB, associated with poor treatment outcomes and exacerbated by TB. We aimed to assess non-communicable multimorbidity (co-occurrence of two or more medical conditions) in Filipino TB outpatients, focusing on malnutrition and diabetes. In a cross-sectional study, 637 adults (70% male) from clinics in urban Metro Manila (N = 338) and rural Negros Occidental (N = 299) were enrolled. Diabetes was defined as HbA1c of ≥6.5% and/or current diabetes medication. Study-specific HIV screening was conducted. The prevalence of diabetes was 9.2% (54/589, 95%CI: 7.0-11.8%) with 52% newly diagnosed. Moderate/severe undernutrition (body mass index (BMI) <17 kg/2) was 20.5% (130/634, 95%CI: 17.4-23.9%). Forty percent of participants had at least one co-morbidity (diabetes, moderate/severe undernutrition or moderate/severe anaemia (haemoglobin <11 g/dL)). HIV infection (24.4%, 74/303) was not associated with other co-morbidities (but high refusal in rural clinics). Central obesity assessed by waist-to-hip ratio was more strongly associated with diabetes (Adjusted Odds Ratio (AOR) = 6.16, 95%CI: 3.15-12.0) than BMI. Undernutrition was less common in men (AOR = 0.44, 95%CI: 0.28-0.70), and associated with previous history of TB (AOR = 1.97, 95%CI: 1.28-3.04) and recent reduced food intake. The prevalence of multimorbidity was high demonstrating a significant unmet need. HIV was not a risk factor for increased non-communicable multimorbidity.
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Affiliation(s)
- Laura V White
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Tansy Edwards
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK
| | - Nathaniel Lee
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Royal Free Hospital, London, UK
| | - Mary C Castro
- Nutrition Center Philippines, Manila, The Philippines
| | | | | | - Benjamin N Faguer
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Nelson Dela Fuente
- Valladolid Health Center, Valladolid, Negros Occidental, The Philippines
| | - Ferdinand Mayoga
- Bago City Health Center, Bago City, Negros Occidental, The Philippines
| | - Nobuo Saito
- Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Koya Ariyoshi
- Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | | | - Juan A Solon
- Nutrition Center Philippines, Manila, The Philippines
| | - Sharon E Cox
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
- Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
- Faculty of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
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7
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Calderon RI, Arriaga MB, Lopez K, Barreda NN, Sanabria OM, Fróes Neto JF, Araújo DN, Lecca L, Andrade BB. High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: a prospective cohort study. BMC Infect Dis 2019; 19:799. [PMID: 31510930 PMCID: PMC6737721 DOI: 10.1186/s12879-019-4416-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 08/27/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The accuracy of different laboratory tests for diagnosis of diabetes mellitus (DM) and prediabetes (preDM) in populations exposed to tuberculosis (TB) remains poorly understood. Here, we examined the prevalence of DM and preDM in TB affected people in Lima, Peru. METHODS A prospective cohort study of patients affected TB and their household contacts (HHC), was conducted between February and November 2017 in Lima, Peru. Fasting plasma glucose (FPG), HbA1c and oral glucose tolerance test (OGTT) were used to detect DM and preDM in a prospective cohort of TB patients (n = 136) and household contacts (n = 138). Diagnostic performance of the laboratory tests was analyzed. Potential effects of sociodemographic and clinical factors on detection of dysglycemia were analyzed. RESULTS In TB patients, prevalence of DM and preDM was 13.97 and 30.88% respectively. Lower prevalence of both DM (6.52%) and preDM (28.99%) were observed in contacts. FPG, HbA1c and OGTT had poor agreement in detection of preDM in either TB cases or contacts. TB-DM patients had substantially lower hemoglobin levels, which resulted in low accuracy of HbA1c-based diagnosis. Classic sociodemographic and clinical characteristics were not different between TB patients with or without dysglycemia. CONCLUSION High prevalence of DM and preDM was found in both TB patients and contacts in Lima. Anemia was strongly associated with TB-DM, which directly affected the diagnostic performance of HbA1c in such population.
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Affiliation(s)
- Roger I Calderon
- Socios En Salud Sucursal Peru, 15001, Lima, Peru. .,Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-590, Brazil.
| | - Maria B Arriaga
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Bahia, 40110-100, Brazil.,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil.,Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, 40269-710, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil
| | - Kattya Lopez
- Socios En Salud Sucursal Peru, 15001, Lima, Peru
| | | | | | - José F Fróes Neto
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil.,Curso de Medicina, Faculdade de Tecnologia e Ciências, Salvador, Bahia, 41741-590, Brazil
| | - Davi Neri Araújo
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Bahia, 40110-100, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil
| | - Leonid Lecca
- Socios En Salud Sucursal Peru, 15001, Lima, Peru.,Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Bruno B Andrade
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Bahia, 40110-100, Brazil. .,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil. .,Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, 40269-710, Brazil. .,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil. .,Curso de Medicina, Faculdade de Tecnologia e Ciências, Salvador, Bahia, 41741-590, Brazil. .,Universidade Salvador (UNIFACS), Laureate University, Salvador, Bahia, 41720-200, Brazil. .,Escola Bahiana de Medicina e Saúde Pública, Salvador, Bahia, 40290-000, Brazil.
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