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Oliveira Hashiguchi L, Ferrer JP, Suzuki S, Faguer BN, Solon JA, Castro MC, Ariyoshi K, Cox SE, Edwards T. Glycemic control during TB treatment among Filipinos: The Starting Anti-Tuberculosis Treatment Cohort Study. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003156. [PMID: 38696522 PMCID: PMC11065219 DOI: 10.1371/journal.pgph.0003156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 04/03/2024] [Indexed: 05/04/2024]
Abstract
Poor TB treatment outcomes are observed in patients with type 2 diabetes mellitus (DM) comorbidity and glycemic control throughout treatment may play a role. The objective of this study was to investigate glycemic control longitudinally among Filipino adults undergoing TB treatment using mixed-effects linear and logistic regression. Analyses were conducted in 188 DM-TB patients out of 901 enrolled in the Starting Anti-TB Treatment (St-ATT) cohort, with a median baseline glycosylated hemoglobin (HbA1c) of 8.2% (range 4.5-13.3%). Previous versus new DM diagnosis was associated with higher mean HbA1c (worse glycemic control) during treatment, with a smaller effect amongst those with central obesity (coefficient 0.80, 95% confidence interval [CI] 0.26, 1.57, P = 0.043) than amongst those without central obesity (coefficient 3.48, 95% CI 2.16, 4.80, P<0.001). In those with a new DM diagnosis, central obesity was associated with higher blood glucose (coefficient 1.62, 95% CI 0.72, 2.53, P = 0.009). Of 177 participants with ≥2 HbA1c results, 40% had uncontrolled glycemia (≥2 HbA1c results ≥8%). Of 165 participants with ≥3 HbA1c results, 29.9% had consistently-controlled glycemia, 15.3% had initially-uncontrolled glycemia, and 18.6% had consistently-uncontrolled glycemia. Previous versus new DM diagnosis and glucose-lowering medication use versus no use were associated with having uncontrolled versus controlled glycemia (adjusted odds ratio [aOR] 2.50 95%CI 1.61, 6.05, P = 0.042; aOR 4.78 95% CI 1.61,14.23, P<0.001) and more likely to have consistently-uncontrolled versus consistently-controlled glycemia (adjusted relative risk ratio [aRRR] 5.14 95% CI 1.37, 19.20, P = 0.015; aRRR 10.24 95% CI 0.07, 0.95, P = 0.003). Relapse cases of TB were less likely than new cases to have uncontrolled (aOR 0.20 95%CI 0.06, 0.63, P = 0.031) or consistently-uncontrolled (aRRR 0.25 95%CI 0.07, 0.95, P = 0.042) versus controlled glycemia. Those with long-term DM, suggested by previous diagnosis, glucose-lowering medication use and possibly central obesity, may require additional support to manage blood glucose during TB treatment.
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Affiliation(s)
- Lauren Oliveira Hashiguchi
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
| | | | - Shuichi Suzuki
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
| | - Benjamin N. Faguer
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
| | - Juan Antonio Solon
- Nutrition Center of the Philippines, Muntinlupa City, Manila, Philippines
| | | | - Koya Ariyoshi
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
| | - Sharon E. Cox
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
- Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Tuberculosis Unit, United Kingdom Health Security Agency, London, United Kingdom
| | - Tansy Edwards
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
- Medical Research Council International Statistics and Epidemiology Group, London School of Hygiene & Tropical Medicine, London, United Kingdom
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2
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Arriaga MB, Araújo-Pereira M, Andrade VMB, Queiroz ATL, Fernandes CD, Sales C, Aliaga JG, Shivakoti R, Lecca L, Calderon RI, Andrade BB. Influence of dietary pattern on anti-tuberculosis treatment outcomes in persons with dysglycemia: a Peruvian prospective cohort study. Front Nutr 2023; 10:1254983. [PMID: 38164414 PMCID: PMC10757910 DOI: 10.3389/fnut.2023.1254983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction Dietary patterns (DPs) are associated with overall nutritional status and may alter the clinical prognosis of tuberculosis. This interaction can be further intricated by dysglycemia (i.e., diabetes or prediabetes). Here, we identified DPs that are more common with tuberculosis-dysglycemia and depicted their association with tuberculosis treatment outcomes. Methods A prospective cohort study of persons with tuberculosis and their contacts was conducted in Peru. A food frequency questionnaire and a multidimensional systems biology-based analytical approach were employed to identify DPs associated with these clinical groups. Potential independent associations between clinical features and DPs were analyzed. Results Three major DPs were identified. TB-dysglycemia cases more often had a high intake of carbohydrates (DP1). Furthermore, DP1 was found to be associated with an increased risk of unfavorable TB outcomes independent of other factors, including dysglycemia. Conclusion Our findings suggest that the evaluation of nutritional status through DPs in comorbidities such as dysglycemia is a fundamental action to predict TB treatment outcomes. The mechanisms underlying the association between high intake of carbohydrates, dysglycemia, and unfavorable tuberculosis treatment outcomes warrant further investigation.
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Affiliation(s)
- María B. Arriaga
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Mariana Araújo-Pereira
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Instituto de Pesquisa Clínica e Translacional, Centro Universitário Faculdade de Tecnologia e Ciências, Salvador, Brazil
| | - Vanessa M. B. Andrade
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
| | - Artur T. L. Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Catarina D. Fernandes
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - Caio Sales
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - Juan Gonzalo Aliaga
- Universidade Virtual do Estado de São Paulo. Cidade Universitária. Butantã, São Paulo, Brazil
| | - Rupak Shivakoti
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, United States
| | - Leonid Lecca
- Socios En Salud Sucursal Peru (Partners in Health), Lima, Peru
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, United States
| | - Roger I. Calderon
- Socios En Salud Sucursal Peru (Partners in Health), Lima, Peru
- Grupo de Investigación en Bioquímica y Biología Sintética, Universidad Nacional Federico Villarreal, Lima, Peru
| | - Bruno B. Andrade
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Instituto de Pesquisa Clínica e Translacional, Centro Universitário Faculdade de Tecnologia e Ciências, Salvador, Brazil
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
- Bahiana School of Medicine and Public Health, Bahia Foundation for the Development of Sciences, Salvador, Brazil
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Kibirige D, Zawedde-Muyanja S, Andia-Biraro I, Olum R, Adakun S, Sekaggya-Wiltshire C, Kimuli I. Diagnostic accuracy of two confirmatory tests for diabetes mellitus in adult Ugandans with recently diagnosed tuberculosis. Ther Adv Infect Dis 2023; 10:20499361231216799. [PMID: 38145193 PMCID: PMC10748612 DOI: 10.1177/20499361231216799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/08/2023] [Indexed: 12/26/2023] Open
Abstract
Objective The optimal confirmatory tests for diabetes mellitus (DM) in patients with tuberculosis (TB) vary across populations. This study aimed to evaluate the performance of two confirmatory tests for DM against the oral glucose tolerance test (OGTT) as the reference test in adult Ugandans with recently diagnosed TB. Methods A total of 232 adult participants receiving TB treatment underwent initial screening for DM with random blood glucose (RBG) measurement. Participants with a RBG level ⩾6.1 mmol/l received additional screening with fasting blood glucose (FBG), laboratory-measured glycated haemoglobin (HbA1c) and an OGTT. Using the latter as the gold standard and reference test, we evaluated the diagnostic accuracy of laboratory-measured HbA1c and FBG. Results Of the 232 participants initially screened for DM using RBG measurement, 117 participants (50.4%) had RBG level ⩾6.1 mmol/l and were scheduled to return for additional blood glucose testing. Of these, 75 (64.1%) participants returned for FBG and HbA1c measurements. A diagnosis of DM was made in 32 participants, corresponding to a prevalence of 13.8% [95% CI 9.9-18.9].The areas under the curve (AUC) for FBG and laboratory-measured HbA1c were 0.69 [95% CI 0.47-0.90] and 0.65 [95% CI 0.43-0.87], respectively. The sensitivity and specificity of a FBG level of ⩾7 mmol/l were 57.1% [95% CI 18.4-90.1] and 74.6% [95% CI 62.5-84.5], respectively, whereas the sensitivity and specificity for laboratory-measured HbA1c of ⩾6.5 mmol/l (48 mmol/mol) were 14.3% [95% CI 0.40-57.9] and 95.3% (86.9-99.0%), respectively. Conclusion FBG may be better than laboratory-measured HbA1c in confirming DM in adult Ugandans with recently diagnosed TB. However, because of the small study sample size, larger studies evaluating the diagnostic utility of these diabetes screening tests in adult Ugandans with TB are needed to confirm these findings.
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Affiliation(s)
- Davis Kibirige
- Department of Medicine, Uganda Martyrs Hospital Lubaga, Kampala, Uganda
- Non-Communicable Diseases Program, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, P.O. BOX 14130 Kampala, Entebbe +256, Uganda
| | - Stella Zawedde-Muyanja
- The Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda
| | - Irene Andia-Biraro
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Ronald Olum
- Department of Medicine, St. Francis Hospital Nsambya, Kampala, Uganda
| | - Susan Adakun
- Adult Tuberculosis Unit, Mulago National Referral and Teaching Hospital, Kampala, Uganda
| | | | - Ivan Kimuli
- Department of Physiology, Makerere University College of Health Sciences, Kampala, Uganda
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Restrepo BI, Scordo JM, Aguillón-Durán GP, Ayala D, Quirino-Cerrillo AP, Loera-Salazar R, Cruz-González A, Caso JA, Joya-Ayala M, García-Oropesa EM, Salinas AB, Martinez L, Schlesinger LS, Torrelles JB, Turner J. Differential Role of Type 2 Diabetes as a Risk Factor for Tuberculosis in the Elderly versus Younger Adults. Pathogens 2022; 11:pathogens11121551. [PMID: 36558885 PMCID: PMC9784720 DOI: 10.3390/pathogens11121551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/28/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
The elderly are understudied despite their high risk of tuberculosis (TB). We sought to identify factors underlying the lack of an association between TB and type 2 diabetes (T2D) in the elderly, but not adults. We conducted a case-control study in elderly (≥65 years old; ELD) vs. younger adults (young/middle-aged adults (18-44/45-64 years old; YA|MAA) stratified by TB and T2D, using a research study population (n = 1160) and TB surveillance data (n = 8783). In the research study population the adjusted odds ratio (AOR) of TB in T2D was highest in young adults (AOR 6.48) but waned with age becoming non-significant in the elderly. Findings were validated using TB surveillance data. T2D in the elderly (vs. T2D in younger individuals) was characterized by better glucose control (e.g., lower hyperglycemia or HbA1c), lower insulin resistance, more sulphonylureas use, and features of less inflammation (e.g., lower obesity, neutrophils, platelets, anti-inflammatory use). We posit that differences underlying glucose dysregulation and inflammation in elderly vs. younger adults with T2D, contribute to their differential association with TB. Studies in the elderly provide valuable insights into TB-T2D pathogenesis, e.g., here we identified insulin resistance as a novel candidate mechanism by which T2D may increase active TB risk.
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Affiliation(s)
- Blanca I. Restrepo
- School of Public Health and UTHealth Consortium on Aging, University of Texas Health Science Center at Houston, Brownsville Campus, Brownsville, TX 78520, USA
- School of Medicine, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX 78541, USA
- Host Pathogen Interactions and Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
- Correspondence: (B.I.R.); (J.T.); Tel.: +1-956-279-3841 (B.I.R.)
| | - Julia M. Scordo
- Host Pathogen Interactions and Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
- Barshop Institute, The University of Texas Health Science Center of San Antonio, San Antonio, TX 78229, USA
| | | | - Doris Ayala
- School of Public Health and UTHealth Consortium on Aging, University of Texas Health Science Center at Houston, Brownsville Campus, Brownsville, TX 78520, USA
| | - Ana Paulina Quirino-Cerrillo
- School of Public Health and UTHealth Consortium on Aging, University of Texas Health Science Center at Houston, Brownsville Campus, Brownsville, TX 78520, USA
| | - Raúl Loera-Salazar
- Secretaría de Salud de Tamaulipas, Reynosa 88630, Matamoros 87370 and Ciudad Victoria 87000, Mexico
| | - America Cruz-González
- Secretaría de Salud de Tamaulipas, Reynosa 88630, Matamoros 87370 and Ciudad Victoria 87000, Mexico
| | - Jose A. Caso
- Biology Department, University of Texas Rio Grande Valley, Edinburg, TX 78541, USA
| | - Mateo Joya-Ayala
- School of Public Health and UTHealth Consortium on Aging, University of Texas Health Science Center at Houston, Brownsville Campus, Brownsville, TX 78520, USA
- Department of Health and Biomedical Sciences, University of Texas Rio Grande Valley, Edinburg, TX 78541, USA
| | - Esperanza M. García-Oropesa
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas Reynosa-Aztlán, Reynosa 88779, Mexico
| | - Alejandra B. Salinas
- School of Public Health and UTHealth Consortium on Aging, University of Texas Health Science Center at Houston, Brownsville Campus, Brownsville, TX 78520, USA
| | - Leonardo Martinez
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Larry S. Schlesinger
- Host Pathogen Interactions and Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Jordi B. Torrelles
- Host Pathogen Interactions and Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Joanne Turner
- Host Pathogen Interactions and Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
- Correspondence: (B.I.R.); (J.T.); Tel.: +1-956-279-3841 (B.I.R.)
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Luiz Bezerra1 A, da Silva Rezende Moreira1 A, Isidoro-Gonçalves2 L, F. dos Santos Lara1,3 C, Amorim4 G, C. Silva1,5,6,7 E, Lineu Kritski1 A, Cristina C. Carvalho1,2 A. Clinical, laboratory, and radiographic aspects of patients with pulmonary tuberculosis and dysglycemia and tuberculosis treatment outcomes. J Bras Pneumol 2022; 48:e20210505. [DOI: 10.36416/1806-3756/e20210505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 08/19/2022] [Indexed: 11/09/2022] Open
Abstract
Objective: To analyze the association of dysglycemia with clinical, laboratory, and radiographic characteristics of patients with pulmonary tuberculosis (PTB), as well as with their tuberculo-sis treatment outcomes. Methods: This was a longitudinal study involving 140 patients diag-nosed with PTB (positive cultures for Mycobacterium tuberculosis or positive Xpert MTB/RIF results from sputum samples). Patients were evaluated at diagnosis (M0), after completing the second month of treatment (M2), and at the end of treatment (MEND). At M0, the pati-ents were classified into three groups: normoglycemia+PTB (NGTB); pre-diabetes melli-tus+PTB (PDMTB), and diabetes mellitus+PTB (DMTB), in accordance with glycated hemoglo-bin levels (< 5.7%, 5.7%-6.4%, and = 6.5%, respectively). Treatment outcomes were classified as favorable (cure or treatment completion) and unfavorable (death, loss to follow-up, or treatment failure). Results: In our sample, 76 patients (61.4%) had dysglycemia, 20 of whom (14.3%) had DM at M0. The patients with dysglycemia, in comparison with those in the NGTB group, more frequently presented with positive sputum smear microscopy (94.2% vs. 75.9%; p = 0.003); cavities (80.2% vs. 63.0%; p = 0.03); bilateral lesions (67.4% vs. 46.0%; p = 0.02); and higher median of affected thirds of the lungs (3.0 vs. 2.0; p = 0.03) on chest radiography. No significant differences regarding outcomes were found among the groups, but tuberculosis lethality was higher in the DMTB group than in the PDMTB and NGTB groups (20% vs. 2.2%). Conclusions: PTB patients with dysglycemia had laboratory and radiographic manifestations indicative of more advanced disease, and the risk of death was higher in the DMTB group. These findings reinforce the recommendation for early screening for DM in patients with newly diagnosed tuberculosis in order to reduce the risk of death during treatment.
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Affiliation(s)
- André Luiz Bezerra1
- 1. Programa Acadêmico de Tuberculose, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) Brasil
| | | | - Lorrayne Isidoro-Gonçalves2
- 2. Laboratório de Inovações em Terapias, Ensino e Bioprodutos – LITEB – Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro (RJ) Brasil
| | - Carla F. dos Santos Lara1,3
- 1. Programa Acadêmico de Tuberculose, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) Brasil. 3. Serviço de Tisiologia, Centro Municipal de Saúde de Duque de Caxias, Secretaria Municipal de Duque de Caxias, Duque de Caxias (RJ) Brasil
| | - Gustavo Amorim4
- 4. Department of Biostatistics, Vanderbilt University Medical Center, Nashville (TN) USA
| | - Elisangela C. Silva1,5,6,7
- 1. Programa Acadêmico de Tuberculose, UFRJ, Rio de Janeiro (RJ) Brasil.5. Laboratório de Micobacteriologia Molecular, Hospital Universitário Clementino Fraga Filho, Instituto de Doenças do Tórax – HUCFF-IDT – Faculdade de Medicina, UFRJ, Rio de Janeiro (RJ) Brasil. 6. Laboratório Reconhecer Biologia, Centro de Biociência e Biotecnologia UENF, Campos dos Goytacases (RJ) Brasil. 7. Fundação Saúde do Estado do Rio de Janeiro, Secretaria de Saúde do Estado do Rio de Janeiro, Rio de Janeiro (RJ) Brasil
| | - Afrânio Lineu Kritski1
- 1. Programa Acadêmico de Tuberculose, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) Brasil
| | - Anna Cristina C. Carvalho1,2
- 1. Programa Acadêmico de Tuberculose, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) Brasil. 2. Laboratório de Inovações em Terapias, Ensino e Bioprodutos – LITEB – Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro (RJ) Brasil
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6
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Arriaga MB, Araújo-Pereira M, Barreto-Duarte B, Sales C, Miguez-Pinto JP, Nogueira EB, Nogueira BMF, Rocha MS, Souza AB, Benjamin A, de Oliveira JG, Moreira ASR, Queiroz ATL, Rodrigues MMS, Spener-Gomes R, Figueiredo MC, Durovni B, Cavalcante S, Lapa-e-Silva JR, Kristki AL, Cordeiro-Santos M, Sterling TR, Rolla VC, Andrade BB. Prevalence and Clinical Profiling of Dysglycemia and HIV Infection in Persons With Pulmonary Tuberculosis in Brazil. Front Med (Lausanne) 2022; 8:804173. [PMID: 35127760 PMCID: PMC8814308 DOI: 10.3389/fmed.2021.804173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/14/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There are scarce data on the prevalence and disease presentation of HIV in patients with tuberculosis (TB) and dysglycemia (diabetes [DM] and prediabetes [PDM]), especially in TB-endemic countries. METHODS We assessed the baseline epidemiological and clinical characteristics of patients with culture-confirmed pulmonary TB, enrolled in a multicenter prospective cohort in Brazil (RePORT-Brazil) during 2015-2019. Dysglycemia was defined by elevated glycated hemoglobin and stratified as PDM or DM. Additionally, we used data from TB cases obtained through the Brazilian National Notifiable Diseases Information System (SINAN), during 2015-2019. In SINAN, diagnosis of diabetes was based on self-report. Logistic regression models were performed to test independent associations between HIV, dysglycemia status, and other baseline characteristics in both cohorts. RESULTS In the RePORT-Brazil cohort, the prevalence of DM and of PDM was 23.7 and 37.8%, respectively. Furthermore, the prevalence of HIV was 21.4% in the group of persons with TB-dysglycemia and 20.5% in that of patients with TBDM. In the SINAN cohort, the prevalence of DM was 9.2%, and among the TBDM group the prevalence of HIV was 4.1%. Logistic regressions demonstrated that aging was independently associated with PDM or DM in both the RePORT-Brazil and SINAN cohorts. In RePORT-Brazil, illicit drug use was associated with PDM, whereas a higher body mass index (BMI) was associated with DM occurrence. Of note, HIV was not associated with an increased risk of PDM or DM in patients with pulmonary TB in both cohorts. Moreover, in both cohorts, the TBDM-HIV group presented with a lower proportion of positive sputum smear and a higher frequency of tobacco and alcohol users. CONCLUSION There is a high prevalence of dysglycemia in patients with pulmonary TB in Brazil, regardless of the HIV status. This reinforces the idea that DM should be systematically screened in persons with TB. Presence of HIV does not substantially impact clinical presentation in persons with TBDM, although it is associated with more frequent use of recreational drugs and smear negative sputum samples during TB screening.
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Affiliation(s)
- María B. Arriaga
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Mariana Araújo-Pereira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Beatriz Barreto-Duarte
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Escola de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil,Programa de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Caio Sales
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Escola de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - João Pedro Miguez-Pinto
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Escola de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - Evelyn B. Nogueira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Escola de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - Betânia M. F. Nogueira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
| | - Michael S. Rocha
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil,Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil
| | - Alexandra B. Souza
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Aline Benjamin
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | | | - Adriana S. R. Moreira
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Artur T. L. Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Center of Data and Knowledge Integration for Health, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Moreno M. S. Rodrigues
- Laboratório de Análise e Visualização de Dados, Fundação Oswaldo Cruz, Porto Velho, Brazil
| | - Renata Spener-Gomes
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Marina C. Figueiredo
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Betina Durovni
- Secretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - José R. Lapa-e-Silva
- Programa de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil,Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Afrânio L. Kristki
- Programa de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil,Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil,Faculdade de Medicina, Universidade Nilton Lins, Manaus, Brazil
| | - Timothy R. Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Valeria C. Rolla
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | - Bruno B. Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil,Escola de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil,Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil,Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States,*Correspondence: Bruno B. Andrade
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7
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Calderon RI, Arriaga MB, Aliaga JG, Barreda NN, Sanabria OM, Barreto-Duarte B, Franco JPD, Lecca L, Andrade BB, Carvalho ACC, Kritski AL. Persistent dysglycemia is associated with unfavorable treatment outcomes in patients with pulmonary tuberculosis from Peru. Int J Infect Dis 2022; 116:293-301. [PMID: 35033658 DOI: 10.1016/j.ijid.2022.01.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/04/2022] [Accepted: 01/05/2022] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND Dysglycemia (i.e., prediabetes or diabetes) on patients with tuberculosis (PWTB) was associated with increased odds of mortality and treatment failure. Whether such association holds when dysglycemia is transient or persistent is unknown. Here we tested the association between persistent dysglycemia (PD) during anti-TB treatment and unfavorable treatment outcomes in PWTB from Lima, Peru. METHODS PWTB enrolled between February and November 2017 were followed for 24-months. Dysglycemia was measured by fasting glucose and HbA1c at baseline, 2nd-and 6th-month of TB treatment. PD was defined as dysglycemia detected in two different visits. The association between PD and unfavorable TB treatment outcome was evaluated by logistic regression. RESULTS Among 125 PWTB, PD prevalence was 29.6%. PD was associated with more lung lesion types, higher bacillary loads, low hemoglobin and high body mass index (BMI). Unfavorable TB treatment outcome was associated with older age, higher BMI, more lung lesion types and PD. After adjusting for age, hemoglobin levels, smoking and smear grade, PD was independently associated with unfavorable treatment (aOR: 6.1; 95%CI: 1.9-19.6). CONCLUSION Persistent dysglycemia is significantly associated with higher odds of unfavorable TB treatment outcomes. Dysglycemia control trough anti-TB treatment gives the opportunity to introduce appropriate interventions to TB management.
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Affiliation(s)
- Roger I Calderon
- Socios En Salud Sucursal Peru, Lima 15001, Peru; Programa Acadêmico de Tuberculose. Faculdade de Medicina. Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-590, Brazil; Grupo de Investigación en Bioquímica y Biología Sintética, Universidad Nacional Federico Villarreal, Lima, Peru.
| | - María B Arriaga
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia 40269-710, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Bahia 40110-100, Brazil; Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil; Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Bahia 40210-320, Brazil.
| | - Juan G Aliaga
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil; Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil.
| | - Nadia N Barreda
- Department of Global Health and Social Medicine. Harvard Medical School. Boston, United States of America.
| | | | - Beatriz Barreto-Duarte
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
| | - João Pedro Duarte Franco
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil; Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil.
| | - Leonid Lecca
- Socios En Salud Sucursal Peru, Lima 15001, Peru; Department of Global Health and Social Medicine. Harvard Medical School. Boston, United States of America.
| | - Bruno B Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
| | - Anna Cristina Calçada Carvalho
- Curso de Medicina, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil; Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA; Laboratório de Inovações em Terapias, Ensino e Bioprodutos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro 21040-900, Brazil.
| | - Afrânio L Kritski
- Programa Acadêmico de Tuberculose. Faculdade de Medicina. Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-590, Brazil.
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8
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Nyirenda JLZ, Wagner D, Ngwira B, Lange B. Bidirectional screening and treatment outcomes of diabetes mellitus (DM) and Tuberculosis (TB) patients in hospitals with measures to integrate care of DM and TB and those without integration measures in Malawi. BMC Infect Dis 2022; 22:28. [PMID: 34983434 PMCID: PMC8725264 DOI: 10.1186/s12879-021-07017-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 12/24/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION There are efforts in low and middle-income countries (LMICs) to integrate Tuberculosis (TB) and Diabetes mellitus (DM) healthcare services, as encouraged by WHO and other international health organizations. However, evidence on actual effect of different integration measures on bidirectional screening coverages and or treatment outcomes for both diseases in LMICs is scarce. OBJECTIVES AND METHODS Retrospective chart review analysis was conducted to determine effects of integrated care on bidirectional screening and treatment outcomes for both TB patients and people with DM (PWD) recruited in eight Malawian hospitals. Data of ≥ 15 years old patients registered between 2016 to August 2019 were collected and analysed. RESULTS 557 PWDs (mean age 54) and 987 TB patients (mean age 41) were recruited. 64/557 (11.5%) PWDs and 105/987 (10.6%) of TB patients were from an integrating hospital. 36/64 (56.3%) PWDs were screened for TB in integrated healthcare as compared to 5/493 (1.0%) in non-integrated care; Risk Difference (RD) 55.2%, (95%CI 43.0, 67.4), P < 0.001, while 10/105 (9.5%) TB patients were screened for DM in integrated healthcare as compared to 43/882 (4.9%) in non-integrated care; RD 4.6%, (95%CI - 1.1, 10.4), P = 0.065. Of the PWDs screened, 5/41 (12.2%) were diagnosed with TB, while 5/53 (9.4%) TB patients were diagnosed with DM. On TB treatment outcomes, 71/508 (14.8%) were lost to follow up in non-integrated care and none in integrated care were lost to follow-up; RD - 14.0%, (95%CI: - 17.0,-11.0), p < 0.001. Among PWDs, 40/493 (8.1%) in non-integrated care and 2/64 (3.1%) were lost to follow up in integrated care; RD - 5.0%, (95%CI:-10.0, - 0.0); P = 0.046. After ≥ 2 years of follow up, 62.5% PWDs in integrated and 41.8% PWDs in non-integrated care were retained in care, RD 20.7, (95%CI: 8.1, 33.4), P = 0.001. CONCLUSION We found higher bidirectional screening coverage and less loss to follow-up in one centre that made more efforts to implement integrated measures for TB and DM care than in 7 others that did not make these efforts. Decisions on local programs to integrate TB/DM care should be taken considering currently rather weak evidence and barriers faced in the local context as well as existing guidelines.
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Affiliation(s)
- John L Z Nyirenda
- University Hospital Freiburg. Medical Faculty. University of Freiburg, Freiburg, Germany. .,Public Health Department, Faculty of Applied Sciences, University of Livingstonia, Mzuzu, Malawi.
| | - Dirk Wagner
- University Hospital Freiburg. Medical Faculty. University of Freiburg, Freiburg, Germany
| | - Bagrey Ngwira
- The Polytechnic College, University of Malawi, Blantyre, Malawi
| | - Berit Lange
- Helmholtz Centre for Infectious Research, Epidemiology, Braunschweig, Germany
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Arriaga MB, Rocha MS, Nogueira BMF, Nascimento V, Araújo-Pereira M, Souza AB, Andrade AMS, Costa AG, Gomes-Silva A, Silva EC, Figueiredo MC, Turner MM, Durovni B, Lapa-e-Silva JR, Kritski AL, Cavalcante S, Rolla VC, Cordeiro-Santos M, Sterling TR, Andrade BB. The Effect of Diabetes and Prediabetes on Mycobacterium tuberculosis Transmission to Close Contacts. J Infect Dis 2021; 224:2064-2072. [PMID: 34008010 PMCID: PMC8672762 DOI: 10.1093/infdis/jiab264] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/13/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND It is unknown whether dysglycemia is associated with Mycobacterium tuberculosis transmission. METHODS We assessed epidemiological and clinical characteristics of patients with culture-confirmed pulmonary tuberculosis and their close contacts, enrolled in a multicenter prospective cohort in Brazil. Contacts were investigated at baseline and 6 months after enrollment. QuantiFERON positivity at baseline and conversion (from negative to positive at month 6) were compared between subgroups of contacts according to glycemic status of persons with tuberculosis (PWTB) as diabetes mellitus (DM) or prediabetes. Multivariable mixed-effects logistic regression models were performed to test independent associations with baseline QuantiFERON positive and QuantiFERON conversion. RESULTS There were 592 PWTB (153 DM, 141 prediabetes, 211 normoglycemic) and 1784 contacts, of whom 658 were QuantiFERON-positive at baseline and 106 converters. Multivariable analyses demonstrated that tuberculosis-prediabetes cases, acid-fast bacilli-positive, pulmonary cavities, and living with someone who smoked were independently associated with QuantiFERON positive in contacts at baseline. DM, persistent cough, acid-fast bacilli-positive, and pulmonary cavities in tuberculosis source cases were associated with QuantiFERON conversion. CONCLUSIONS Contacts of persons with pulmonary tuberculosis and dysglycemia were at increased risk of being QuantiFERON positive at baseline or month 6. Increased focus on such close contacts could improve tuberculosis control.
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Affiliation(s)
- María B Arriaga
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Michael S Rocha
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
- Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
| | - Betânia M F Nogueira
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
- Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
| | - Vanessa Nascimento
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
- Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
- Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil
| | - Mariana Araújo-Pereira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Alexandra B Souza
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Alice M S Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
| | - Alysson G Costa
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Adriano Gomes-Silva
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | - Elisangela C Silva
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marina C Figueiredo
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Megan M Turner
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Betina Durovni
- Secretaria Municipal de Saúde do Rio de Janeiro (Clínica da Família Rinaldo Delamare)-Rocinha, Rio de Janeiro, Brazil
| | - José R Lapa-e-Silva
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Afrânio L Kritski
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Solange Cavalcante
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
- Secretaria Municipal de Saúde do Rio de Janeiro (Clínica da Família Rinaldo Delamare)-Rocinha, Rio de Janeiro, Brazil
| | - Valeria C Rolla
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
- Universidade Nilton Lins, Manaus, Brazil
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Bruno B Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
- Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
- Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil
- Curso de Medicina, Universidade Salvador UNIFACS, Laureate University, Salvador, Brazil
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10
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Arriaga MB, Araújo-Pereira M, Barreto-Duarte B, Nogueira B, Freire MVCNS, Queiroz ATL, Rodrigues MMS, Rocha MS, Souza AB, Spener-Gomes R, Carvalho ACC, Figueiredo MC, Turner MM, Durovni B, Lapa-E-Silva JR, Kritski AL, Cavalcante S, Rolla VC, Cordeiro-Santos M, Sterling TR, Andrade BB. The Effect of Diabetes and Prediabetes on Anti-tuberculosis Treatment Outcomes: A Multi-center Prospective Cohort Study. J Infect Dis 2021; 225:617-626. [PMID: 34651642 DOI: 10.1093/infdis/jiab427] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 08/23/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND It is unclear whether diabetes or prediabetes affect unfavorable treatment outcomes and death in people with tuberculosis (PWTB). METHODS Culture-confirmed drug-susceptible PWTB, enrolled in Regional Prospective Observational Research in Tuberculosis (RePORT)-Brazil between 2015-2019 (n=643) were stratified based on glycemic status according to baseline glycated hemoglobin. Unfavorable TB outcome was defined as treatment failure or modification, recurrence or death; favorable outcome was cure or treatment completion. We corroborated the findings using data from PWTB reported to the Brazilian National System of Diseases Notification (SINAN) during 2015-2019 (n=20,989). Logistic regression models evaluated associations between glycemic status and outcomes. RESULTS In both cohorts, in univariate analysis, unfavorable outcomes were more frequently associated with smoking, illicit drug use and HIV infection. Diabetes, but not prediabetes, was associated with unfavorable outcomes in the RePORT-Brazil (adjusted Relative Risk [aRR]: 2.45, p<0.001) and SINAN (aRR: 1.76, p<0.001) cohorts. Furthermore, diabetes was associated with high risk of death (during TB treatment) in both RePORT-Brazil (aRR:2.16, p=0.040) and SINAN (aRR:1.93, p= 0.001). CONCLUSION Diabetes was associated with an increased risk of unfavorable outcomes and mortality in Brazilian PWTB. Interventions to improve tuberculosis treatment outcomes in persons with diabetes are needed.
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Affiliation(s)
- María B Arriaga
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Mariana Araújo-Pereira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Beatriz Barreto-Duarte
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - Betânia Nogueira
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
| | | | - Artur T L Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Moreno M S Rodrigues
- Laboratório de Análise e Visualização de Dados, Fundação Oswaldo Cruz, Porto Velho, Brazil
| | - Michael S Rocha
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
| | - Alexandra B Souza
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Renata Spener-Gomes
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil.,Universidade Federal do Amazonas, Manaus, Brazil
| | - Anna Cristina C Carvalho
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.,Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | - Marina C Figueiredo
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Megan M Turner
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Betina Durovni
- Secretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brazil
| | - José R Lapa-E-Silva
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Afrânio L Kritski
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Valeria C Rolla
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil.,Universidade Nilton Lins, Manaus, Brazil
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Bruno B Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.,Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil.,Curso de Medicina, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil.,Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.,Bacteriology and Bioassay Laboratory, National Institute of Infectious Diseases Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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11
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Barreto-Duarte B, Araújo-Pereira M, Nogueira BMF, Sobral L, Rodrigues MMS, Queiroz ATL, Rocha MS, Nascimento V, Souza AB, Cordeiro-Santos M, Kritski AL, Sterling TR, Arriaga MB, Andrade BB. Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019. Front Med (Lausanne) 2021; 8:706689. [PMID: 34386510 PMCID: PMC8354381 DOI: 10.3389/fmed.2021.706689] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 07/02/2021] [Indexed: 11/28/2022] Open
Abstract
Approximately 1.4 million people die annually worldwide from tuberculosis. Large epidemiologic studies can identify determinants of unfavorable clinical outcomes according to age, which can guide public health policy implementation and clinical management to improve outcomes. We obtained data from the national tuberculosis case registry; data were reported to the Brazilian National Program (SINAN) between 2010 and 2019. Clinical and epidemiologic variables were compared between age groups (child: <10 years, young: 10–24years, adult: 25–64years, and elderly: ≥65years). Univariate comparisons were performed together with second-generation p-values. We applied a backward stepwise multivariable logistic regression model to identify characteristics in each age group associated with unfavorable TB treatment outcomes. There were 896,314 tuberculosis cases reported during the period. Tuberculosis incidence was highest among adult males, but the young males presented the highest growth rate during the period. Directly observed therapy (DOT) was associated with protection against unfavorable outcomes in all age groups. The use of alcohol, illicit drugs, and smoking, as well as occurrence of comorbidities, were significantly different between age groups. Lack of DOT, previous tuberculosis, race, location of tuberculosis disease, and HIV infection were independent risk factors for unfavorable outcome depending on the age group. The clinical and epidemiological risk factors for unfavorable tuberculosis treatment outcomes varied according to age in Brazil. DOT was associated with improved outcomes in all age groups. Incidence according to age and sex identified adults and young males as the groups that need prevention efforts. This supports implementation of DOT in all populations to improve tuberculosis outcomes.
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Affiliation(s)
- Beatriz Barreto-Duarte
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Curso de Medicina, Universidade Salvador, Laureate Universities, Salvador, Brazil.,Programa de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mariana Araújo-Pereira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Betânia M F Nogueira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil.,Programa de Pós-graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Brazil
| | - Luciana Sobral
- Curso de Medicina, Centro Universitário Faculdade de Tecnologia e Ciências, Salvador, Brazil.,Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil
| | - Moreno M S Rodrigues
- Laboratório de Análise e Visualização de Dados, Fundação Oswaldo Cruz, Porto Velho, Brazil
| | - Artur T L Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Center of Data and Knowledge Integration for Health, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Michael S Rocha
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil
| | - Vanessa Nascimento
- Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil.,Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil
| | - Alexandra B Souza
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil.,Faculdade de Medicina, Universidade Nilton Lins, Manaus, Brazil
| | - Afrânio L Kritski
- Programa de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.,Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - María B Arriaga
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Bruno B Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.,Curso de Medicina, Universidade Salvador, Laureate Universities, Salvador, Brazil.,Programa de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.,Programa de Pós-graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Brazil.,Curso de Medicina, Centro Universitário Faculdade de Tecnologia e Ciências, Salvador, Brazil.,Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil.,Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
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12
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Beraldo AA, Andrade RLDP, Pinto ÉSG, da Silva-Sobrinho RA, Saita NM, Monroe AA, Villa TCS. Tuberculosis and diabetes mellitus: sociodemographic and clinical profile in Brazilian municipalities. ACTA ACUST UNITED AC 2021; 42:e2020247. [PMID: 34287600 DOI: 10.1590/1983-1447.2021.20200247] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 11/04/2020] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To analyze the sociodemographic and clinical profile of tuberculosis cases with Diabetes Mellitus in Brazilian municipalities in the states of São Paulo, Paraná and Rio Grande do Norte. METHOD This is a cross-sectional study, whose population consisted of tuberculosis cases notified between 2010 and 2014. Data were collected from secondary sources. In the data analysis, descriptive analysis and multiple correspondence analysis techniques were used. RESULTS The prevalence of diabetes among tuberculosis cases ranged from 4.5% to 13.4% in the municipalities. Evidence of an association was observed between tuberculosis/diabetes comorbidity and female population, age of 61 years or more, low schooling, negative HIV/AIDS, longer treatment time, self-administered treatment and cure. CONCLUSION The study showed a greater cure outcome in the profile of people with tuberculosis/diabetes comorbidity, even among those on a self-administered regime, which could favor the development of specific guidelines for the management of tuberculosis in these people.
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Affiliation(s)
- Aline Ale Beraldo
- Ministério da Saúde, Departamento de Imunização e Doenças Transmissíveis, Coordenação Geral do Programa Nacional de Imunizações. Brasília, Distrito Federal, Brasil
| | - Rubia Laine de Paula Andrade
- Universidade de São Paulo (USP), Escola de Enfermagem de Ribeirão Preto, Departamento de Enfermagem Materno Infantil e Saúde Pública. Ribeirão Preto, São Paulo, Brasil
| | - Érika Simone Galvão Pinto
- Universidade Federal do Rio Grande do Norte (UFRN), Centro de Ciências da Saúde, Departamento de Enfermagem. Natal, Rio Grande do Norte, Brasil
| | | | - Nanci Michele Saita
- Universidade de São Paulo (USP), Escola de Enfermagem de Ribeirão Preto, Departamento de Enfermagem Materno Infantil e Saúde Pública. Ribeirão Preto, São Paulo, Brasil
| | - Aline Aparecida Monroe
- Universidade de São Paulo (USP), Escola de Enfermagem de Ribeirão Preto, Departamento de Enfermagem Materno Infantil e Saúde Pública. Ribeirão Preto, São Paulo, Brasil
| | - Tereza Cristina Scatena Villa
- Universidade de São Paulo (USP), Escola de Enfermagem de Ribeirão Preto, Departamento de Enfermagem Materno Infantil e Saúde Pública. Ribeirão Preto, São Paulo, Brasil
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13
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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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14
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Barreda NN, Arriaga MB, Aliaga JG, Lopez K, Sanabria OM, Carmo TA, Fróes Neto JF, Lecca L, Andrade BB, Calderon RI. Severe pulmonary radiological manifestations are associated with a distinct biochemical profile in blood of tuberculosis patients with dysglycemia. BMC Infect Dis 2020; 20:139. [PMID: 32059707 PMCID: PMC7023734 DOI: 10.1186/s12879-020-4843-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 02/03/2020] [Indexed: 12/15/2022] Open
Abstract
Background Diabetes mellitus (DM) is thought to affect tuberculosis (TB) clinical presentation and treatment response. Whether DM impacts radiological manifestations of pulmonary TB is still not clear. This study investigated the impact of glycemic status on radiological manifestations of pulmonary TB cases and its relationship with concentration of biochemical parameters in peripheral blood. Methods A retrospective cross-sectional study used data from 132 microbiologically confirmed pulmonary TB patients from Lima, Peru, evaluated in a previous investigation performed between February and December 2017. Chest radiographs were analyzed by a radiologist and a pulmonologist. Radiographic lesions were identified as cavities, alveolar infiltrates and fibrous tracts. Hyperglycemia in TB patients was identified by use of fasting plasma glucose, HbA1c and oral glucose tolerance test. Clinical, biochemical and hematological parameters were also analyzed. Results TB patients with hyperglycemia presented more frequently with cavities, alveolar infiltrates and fibrous tracts than those with normoglycemia. Hierarchical clustering analysis indicated that patients with more diverse and higher number of lung lesions exhibited a distinct laboratorial profile characterized by heightened white blood cell counts and circulating levels of total cholesterol, triglycerides and transaminases and simultaneously low levels of albumin and hemoglobin. Multivariable regression analyses adjusted for age, sex, prior TB, hemoglobin levels and acid-fast bacilli ≥2+ in sputum smears, demonstrated that presence of prediabetes or diabetes in TB patients was associated with increased odds of having 3 pulmonary lesion types (p = 0.003 and p < 0.01 respectively) or ≥ 4 lesions (p = 0.001 and p = 0.01 respectively). Conclusion Hyperglycemia (both DM and prediabetes) significantly affected the presentation of radiographic manifestations and the number of lesions in pulmonary TB patients as well as the biochemical profile in peripheral blood.
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Affiliation(s)
- Nadia Nilda Barreda
- Socios En Salud Sucursal Peru, 15001, Lima, Peru.,Universidad Nacional Mayor de San Marcos, Lima, 15081, Peru
| | - 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.,Universidad Nacional Mayor de San Marcos, Lima, 15081, Peru.,Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Thomas A Carmo
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil.,Universidade Salvador (UNIFACS), Salvador, Bahia, 41720-200, Brazil
| | - José F Fróes Neto
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Bahia, 40210-320, Brazil.,Universidade Salvador (UNIFACS), Salvador, Bahia, 41720-200, Brazil
| | - Leonid Lecca
- Socios En Salud Sucursal Peru, 15001, Lima, Peru
| | - 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.,Universidade Salvador (UNIFACS), Salvador, Bahia, 41720-200, Brazil.,Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Bahia, 40290-000, Brazil.,Curso de Medicina, Faculdade de Tecnologia e Ciências (FTC), 41, Salvador, Bahia, 741-590, Brazil
| | - 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.
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