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Zhou G, Guo X, Cai S, Zhang Y, Zhou Y, Long R, Zhou Y, Li H, Chen N, Song C. Diabetes mellitus and latent tuberculosis infection: an updated meta-analysis and systematic review. BMC Infect Dis 2023; 23:770. [PMID: 37940866 PMCID: PMC10631079 DOI: 10.1186/s12879-023-08775-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 10/31/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Previous studies have demonstrated an association between diabetes mellitus (DM) and latent tuberculosis infection (LTBI). This study was conducted to update the current understanding of the association between DM and LTBI. By conducting a systematic review and meta-analysis using adjusted odds ratios (aOR) or risk ratios (aRR), we aimed to further explore the association between DM and LTBI and provide essential reference for future research. METHODS We conducted comprehensive searches in Embase, Cochrane Library, and PubMed without imposing any start date or language restrictions, up to July 19, 2022. Our study selection encompassed observational research that compared from LTBI positive rates in both DM and non-DM groups and reported aRR or aOR results. The quality of the included studies was assessed utilizing the Newcastle-Ottawa Scale. Pooled effect estimates were calculated using random-effects models, along with their associated 95% confidence intervals (CI). RESULTS We included 22 studies involving 68,256 subjects. Three cohort studies were eligible, with a pooled aRR of 1.26 (95% CI: 0.71-2.23). Nineteen cross-sectional studies were eligible, with a pooled aOR of 1.21 (95% CI: 1.14-1.29). The crude RR (cRR) pooled estimate for three cohort studies was 1.62 (95% CI: 1.03-2.57). Among the cross-sectional studies we included, sixteen studies provided crude ORs, and the crude OR (cOR) pooled estimate was 1.64 (95% CI: 1.36-1.97). In the diagnosis of diabetes, the pooled aOR of the HbA1c group was higher than that of self-reported group (pooled aOR: 1.56, 95% CI: 1.24-1.96 vs. 1.17, 95% CI: 1.06-1.28). CONCLUSION Our systematic review and meta-analysis suggest a positive association between DM and LTBI. Individuals with DM may have a higher risk of LTBI compared to those without DM. These findings provide important insights for future research and public health interventions in managing LTBI in diabetic populations.
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Affiliation(s)
- Guozhong Zhou
- Department of Science and Research, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China
| | - Xin Guo
- School of Basic Medical Sciences, Kunming Medical University, Kunming, 650051, Yunnan Province, China
| | - Shunli Cai
- School of Basic Medical Sciences, Kunming Medical University, Kunming, 650051, Yunnan Province, China
| | - Yu Zhang
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China
| | - Yuanyuan Zhou
- Department of Endocrinology and Metabolism, Sixth Affliated Hospital of Kunming Medical University, The People's Hospital of Yuxi City, Yunnan Province, Yuxi, 653100, China
| | - Rong Long
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China
| | - Yingchen Zhou
- The School of Medicine, Kunming University, Kunming, 650214, China
| | - Hanse Li
- School of Basic Medical Sciences, Kunming Medical University, Kunming, 650051, Yunnan Province, China
| | - Nan Chen
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China.
| | - Chao Song
- Department of Medical Imaging, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China.
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Wang PH, Lin SY, Liou HH, Chen CC, Shu CC, Lee CY, Tsai MK, Yu CJ. Protective Effect of BCG and Neutrophil-to-Lymphocyte Ratio on Latent Tuberculosis in End Stage Renal Disease. Infect Dis Ther 2023:10.1007/s40121-023-00839-5. [PMID: 37410344 PMCID: PMC10390420 DOI: 10.1007/s40121-023-00839-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/21/2023] [Indexed: 07/07/2023] Open
Abstract
INTRODUCTION Bacillus Calmette-Guérin (BCG) vaccination has been reported to be protective against latent tuberculosis infection (LTBI) in the general population. The aim of this study was to investigate the protective effect of BCG vaccination against LTBI in adult patients with end-stage renal disease (ESRD) and renal transplants. METHODS Patients aged ≥ 20 years with ESRD who received hemodialysis (HD), peritoneal dialysis (PD) or kidney transplant were enrolled from January 2012 to December 2019 at a medical center and a regional hemodialysis center. Patients with active tuberculosis (TB), previously treated TB, active immunosuppressant therapy or human immunodeficiency virus infection were excluded. LTBI status was determined by QuantiFERON-TB Gold In-tube (QFT-GIT). RESULTS After the exclusion of indeterminate results of QFT-GIT, 517 participants were enrolled and 97 (18.8%) were identified as having LTBI. Participants with LTBI were older (55.1 ± 11.4 vs. 48.5 ± 14.6 years, p < 0.001) and had a significantly higher proportion receiving HD than those without LTBI (70.1% vs. 56.7%, p = 0.001). The percentage with BCG scars was higher in the non-LTBI group than in the LTBI group (94.8% vs. 81.4%, p < 0.001), whereas the neutrophil-to-lymphocyte ratio (NLR) (≥ 2.68) was significantly higher in the LTBI group (62.8% vs. 45.5%, p = 0.02). By multivariate logistic regression analysis, presence of BCG scar and high NLR were independent protective factors against LTBI [adjusted OR: 0.19 (0.063-0.58, p = 0.001) and 0.50 (0.28-0.89, p = 0.02)]. CONCLUSION The prevalence of LTBI was as high as 18.8% in patients with end-stage kidney disease or kidney transplant. BCG vaccination and high NLR might have protective effects against LTBI in patients with renal failure or transplant.
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Affiliation(s)
- Ping-Huai Wang
- Division of Thoracic Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shu-Yung Lin
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung Shan South Road, Taipei, Taiwan
- College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hung-Hsiang Liou
- Division of Nephrology, Department of Internal Medicine, Hsin-Jen Hospital, New Taipei City, Taiwan
| | - Chien-Chia Chen
- College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Surgery, National Taiwan University Hospital, No 7, Chung Shan South Road, Taipei, Taiwan
| | - Chin-Chung Shu
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung Shan South Road, Taipei, Taiwan.
- College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Chih-Yuan Lee
- College of Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Surgery, National Taiwan University Hospital, No 7, Chung Shan South Road, Taipei, Taiwan.
| | - Meng-Kun Tsai
- College of Medicine, National Taiwan University, Taipei, Taiwan
- National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Chong-Jen Yu
- College of Medicine, National Taiwan University, Taipei, Taiwan
- National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan
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Kim HW, Min J, Choi JY, Shin AY, Myong JP, Lee Y, Yim HW, Jeong H, Bae S, Choi H, In H, Park A, Jang M, Koo HK, Lee SS, Park JS, Kim JS. Prevalence of latent tuberculosis infection among participants of the national LTBI screening program in South Korea - A problem of low coverage rate with current LTBI strategy. Front Public Health 2023; 10:1066269. [PMID: 36743163 PMCID: PMC9892646 DOI: 10.3389/fpubh.2022.1066269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/16/2022] [Indexed: 01/20/2023] Open
Abstract
Background The Government of South Korea launched a national preemptive latent tuberculosis infection (LTBI) screening program in 2016, including more than 1. 6 million population in congregate settings. The objective of this study was to analyze LTBI prevalence and its risk factors in each setting. Additionally, the proportion of LTBI pool covered by the current national LTBI strategy was investigated. Methods Database for results of interferon gamma release assay (IGRA), X-ray, and baseline demographic information was linked with National Health Information Database, national tuberculosis (TB) surveillance database, and national contact investigation database. Participants were categorized into three groups: Group A, workers of postpartum care centers, social welfare facilities and educational institutions; Group B, first year students in high school and out-of-school youths; and Group C, inmates of correctional facilities. Relative risks of LTBI by sex, age, place of living, income level, and comorbidities were calculated. Results A total of 444,394 participants in Group A, 272,224 participants in Group B, and 11,511 participants in Group C who participated in the national LTBI screening program between 2017 and 2018 were included, with LTBI prevalence of 20.7, 2.0, and 33.2%, respectively. Age was the single most important risk factor in Group A and Group C. Low-income level was another risk factor commonly identified in all groups. Among participants with positive IGRA results, 2.7, 4.4, and 3.3% in Groups A, B and C, respectively, had past TB exposure history since 2013. Current LTBI guideline targeting high or moderate TB risk disease covered 6.5, 0.6, and 1.1% of participants with positive IGRA results in Groups A, B and C, respectively. Conclusion Only a small proportion of participants with positive IGRA results could be covered by the current LTBI strategy. Expansion of LTBI strategy by identifying further high-TB risk group in the general population is required.
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Affiliation(s)
- Hyung Woo Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jinsoo Min
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Joon Young Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ah Young Shin
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jun-Pyo Myong
- Department of Occupational and Environmental Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yunhee Lee
- Department of Occupational and Environmental Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyeon Woo Yim
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyunsuk Jeong
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sanghyuk Bae
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hoyong Choi
- Division of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Hyekyung In
- Division of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Ahyoung Park
- Division of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Miri Jang
- Division of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Hyeon-Kyoung Koo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Sung-Soon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae Seuk Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Republic of Korea
| | - Ju Sang Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea,*Correspondence: Ju Sang Kim ✉
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Muacevic A, Adler JR. Prevalence of Pulmonary Tuberculosis in Diabetic Patients: Epidemiology, Immunological Basis, and Its Amalgamated Management. Cureus 2022; 14:e31321. [PMID: 36514631 PMCID: PMC9733820 DOI: 10.7759/cureus.31321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/10/2022] [Indexed: 11/11/2022] Open
Abstract
Tuberculosis (TB) is one of the most widespread and infectious diseases in the world, which is brought on by Mycobacterium tuberculosis (MTB). Most infection lacks traditional signs. Latent TB is the name given to this ailment. Of these latent infections, 10% become active and cause illness. Fever, night sweats, a prolonged cough with blood-containing mucus, and weight loss are common signs of active TB infection. Diabetes, on the other hand, is a group of metabolic illnesses characterized by elevated serum glucose levels. It is a chronic metabolic condition brought on by a deficiency in insulin secretion or resistance. It is of two types, that is, type 1 and type 2. Among all the cases of diabetes, the occurrence of type 2 is more common and less fatal than type 1. The prevalence of diabetes is currently increasing in low- and middle-income nations. As both diabetes and TB come under the most widespread chronic condition; therefore, their combined effect is evaluated. In recent years, the higher occurrence of TB in patients with hyperglycemia has come to light. People with elevated blood glucose levels exhibit several risk factors that make them more vulnerable to contracting TB. This review provides information on epidemiological data about the prevalence of TB in patients with hyperglycemia. In addition, this paper discusses the immunological underpinnings of TB development in patients with diabetes mellitus and how glycemic management reduces the risk of TB infection. It illustrates how the clinical signs and radiographic evidence of TB differ between people with diabetes and healthy people and mentions diabetes and TB combined management.
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Munisankar S, Rajamanickam A, Balasubramanian S, Muthusamy S, Menon PA, Ahamed SF, Whalen C, Gumne P, Kaur I, Nadimpalli V, Deverakonda A, Chen Z, Otto JD, Habitegiyorgis T, Kandaswamy H, Babu S. Prevalence of proximate risk factors of active tuberculosis in latent tuberculosis infection: A cross-sectional study from South India. Front Public Health 2022; 10:1011388. [PMID: 36276400 PMCID: PMC9583021 DOI: 10.3389/fpubh.2022.1011388] [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: 08/04/2022] [Accepted: 09/14/2022] [Indexed: 01/27/2023] Open
Abstract
The prevalence of proximate risk factors for active tuberculosis (TB) in areas of high prevalence of latent tuberculosis infection (LTBI) is not clearly understood. We aimed at assessing the prevalence of non-communicable multi-morbidity focusing on diabetes mellitus (DM), malnutrition, and hypertension (HTN) as common risk factors of LTBI progressing to active TB. In a cross-sectional study, 2,351 adults (45% male and 55% female) from villages in the Kancheepuram district of South India were enrolled between 2013 and 2020. DM was defined as HbA1c >6.4%, undernutrition was defined as low body mass index (LBMI) <18.5 kg/m2, obesity was classified as BMI ≥25 kg/m2, HTN was reported as systolic pressure >130 mmHg, and LTBI was defined as positive (≥ 0.35 international units/ml) by QuantiFERON Gold In-Tube assay. A total of 1,226 individuals (52%) were positive for LTBI out of 2351 tested individuals. The prevalence of DM and pre-diabetes mellitus (PDM) was 21 and 35%, respectively, HTN was 15% in latent tuberculosis (LTB)-infected individuals. The association of DM [odds ratio (OR)]; adjusted odds ratio (aOR) (OR = 1.26, 95% CI: 1.13-1.65; aOR = 1.19, 95% CI: 1.10-1.58), PDM (OR = 1.11, 95% CI: 1.0-1.35), and HTN (OR = 1.28, 95% CI: 1.11-1.62; aOR = 1.18, 95% CI: 1.0-1.56) poses as risk factors of LTBI progression to active TB. The prevalence of LBMI 9% (OR = 1.07, 95% CI: 0.78-1.48) and obesity 42% (OR = 0.85, 95% CI: 0.70-1.03) did not show any statistically significant association with LTB-infected individuals. The present evidence of a high burden of multi-morbidity suggests that proximate risk factors of active TB in LTBI can be managed by nutrition and lifestyle modification.
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Affiliation(s)
- Saravanan Munisankar
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India,*Correspondence: Saravanan Munisankar
| | - Anuradha Rajamanickam
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - Suganthi Balasubramanian
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - Satishwaran Muthusamy
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | | | - Shaik Fayaz Ahamed
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - Christopher Whalen
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Paschaline Gumne
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Inderdeep Kaur
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Varma Nadimpalli
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Akshay Deverakonda
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Zhenhao Chen
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - John David Otto
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Tesfalidet Habitegiyorgis
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Harish Kandaswamy
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Subash Babu
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India,Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
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Ha R, Keynan Y, Rueda ZV. Increased susceptibility to pneumonia due to tumour necrosis factor inhibition and prospective immune system rescue via immunotherapy. Front Cell Infect Microbiol 2022; 12:980868. [PMID: 36159650 PMCID: PMC9489861 DOI: 10.3389/fcimb.2022.980868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/15/2022] [Indexed: 11/22/2022] Open
Abstract
Immunomodulators such as tumour necrosis factor (TNF) inhibitors are used to treat autoimmune conditions by reducing the magnitude of the innate immune response. Dampened innate responses pose an increased risk of new infections by opportunistic pathogens and reactivation of pre-existing latent infections. The alteration in immune response predisposes to increased severity of infections. TNF inhibitors are used to treat autoimmune conditions such as rheumatoid arthritis, juvenile arthritis, psoriatic arthritis, transplant recipients, and inflammatory bowel disease. The efficacies of immunomodulators are shown to be varied, even among those that target the same pathways. Monoclonal antibody-based TNF inhibitors have been shown to induce stronger immunosuppression when compared to their receptor-based counterparts. The variability in activity also translates to differences in risk for infection, moreover, parallel, or sequential use of immunosuppressive drugs and corticosteroids makes it difficult to accurately attribute the risk of infection to a single immunomodulatory drug. Among recipients of TNF inhibitors, Mycobacterium tuberculosis has been shown to be responsible for 12.5-59% of all infections; Pneumocystis jirovecii has been responsible for 20% of all non-viral infections; and Legionella pneumophila infections occur at 13-21 times the rate of the general population. This review will outline the mechanism of immune modulation caused by TNF inhibitors and how they predispose to infection with a focus on Mycobacterium tuberculosis, Legionella pneumophila, and Pneumocystis jirovecii. This review will then explore and evaluate how other immunomodulators and host-directed treatments influence these infections and the severity of the resulting infection to mitigate or treat TNF inhibitor-associated infections alongside antibiotics.
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Affiliation(s)
- Ryan Ha
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
| | - Yoav Keynan
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Department of Community-Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellin, Colombia
| | - Zulma Vanessa Rueda
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellin, Colombia
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Liu Q, Yan W, Liu R, Bo E, Liu J, Liu M. The Association Between Diabetes Mellitus and the Risk of Latent Tuberculosis Infection: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2022; 9:899821. [PMID: 35547228 PMCID: PMC9082645 DOI: 10.3389/fmed.2022.899821] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background The estimated global latent tuberculosis infection (LTBI) burden indicates a large reservoir of population at risk of developing active tuberculosis (TB). Previous studies suggested diabetes mellitus (DM) might associate with LTBI, though still controversial. We aimed to systematically assess the association between DM and LTBI. Methods We searched PubMed, Embase, Cochrane Library and Web of Science. Observational studies reporting the number of LTBI and non-LTBI individuals with and without DM were included. Random-effects or fixed-effects models were used to estimate the pooled effect by risk ratios (RRs) and odds ratios (ORs) and its 95% confidence interval (CI), using the original number of participants involved. Results 20 studies involving 4,055,082 participants were included. The pooled effect showed a significant association between DM and LTBI (for cohort studies, RR = 1.62, 95% CI: 1.02-2.56; for cross-sectional studies, OR = 1.55, 95% CI: 1.30-1.84). The pooled OR was high in studies with healthcare workers (5.27, 95% CI: 1.52-8.20), refugees (2.88, 95% CI: 1.93-4.29), sample size of 1,000-5,000 (1.99, 95% CI: 1.49-2.66), and male participants accounted for less than 40% (2.28, 95% CI: 1.28-4.06). Prediabetes also associated with LTBI (OR = 1.36, 95% CI: 1.01-1.84). Conclusion The risk of LTBI was found to be a 60% increase in DM patients, compared with non-DM patients. LTBI screening among DM patients could be of vital importance. More studies are needed to explore appropriate strategies for targeted LTBI screening among DM patients.
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Affiliation(s)
- Qiao Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenxin Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Runqing Liu
- School of Health Humanities, Peking University, Beijing, China
| | - Ershu Bo
- School of Basic Medicine, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Tepekule B, Kusejko K, Zeeb M, Tarr PE, Calmy A, Battegay M, Furrer H, Cavassini M, Bernasconi E, Notter J, Günthard HF, Nemeth J, Kouyos RD. Impact of Latent Tuberculosis Infection on the Incidence of Type 2 Diabetes Mellitus in HIV-Infected Participants in the Swiss HIV Cohort Study. J Infect Dis 2022; 225:2229-2234. [PMID: 35172332 DOI: 10.1093/infdis/jiac054] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 02/14/2022] [Indexed: 11/13/2022] Open
Abstract
While an increased risk of active and latent tuberculosis infection (LTBI) in people with type-2 diabetes (DM) has been demonstrated, it is less well characterized whether LTBI is associated with an increased risk of developing DM. We investigated the link between LTBI and DM in people living with HIV (PHIV) in the Swiss HIV Cohort Study via time-dependent cox proportional hazards models. We found that LTBI significantly increased the risk of developing DM (HR=1.47), which was robust across different adjustment and censoring techniques. Our results thus suggest that LTBI may be associated with an increased risk of developing DM.
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Affiliation(s)
- Burcu Tepekule
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Marius Zeeb
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Philip E Tarr
- Department of Medicine and Division of Infectious Diseases and Hospital Epidemiology, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases & Hospital Hygiene, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Hansjakob Furrer
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, University Hospital, Lausanne, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Julia Notter
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Johannes Nemeth
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
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Foe-Essomba JR, Kenmoe S, Tchatchouang S, Ebogo-Belobo JT, Mbaga DS, Kengne-Ndé C, Mahamat G, Kame-Ngasse GI, Noura EA, Mbongue Mikangue CA, Feudjio AF, Taya-Fokou JB, Touangnou-Chamda SA, Nayang-Mundo RA, Nyebe I, Magoudjou-Pekam JN, Yéngué JF, Djukouo LG, Demeni Emoh CP, Tazokong HR, Bowo-Ngandji A, Lontchi-Yimagou E, Kaiyven AL, Donkeng Donfack VF, Njouom R, Mbanya JC, Mbacham WF, Eyangoh S. Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders. PLoS One 2021; 16:e0261246. [PMID: 34890419 PMCID: PMC8664214 DOI: 10.1371/journal.pone.0261246] [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: 05/17/2021] [Accepted: 11/28/2021] [Indexed: 11/22/2022] Open
Abstract
Introduction Meta-analyses conducted so far on the association between diabetes mellitus (DM) and the tuberculosis (TB) development risk did not sufficiently take confounders into account in their estimates. The objective of this systematic review was to determine whether DM is associated with an increased risk of developing TB with a sensitivity analyses incorporating a wider range of confounders including age, gender, alcohol consumption, smoke exposure, and other comorbidities. Methods Pubmed, Embase, Web of Science and Global Index Medicus were queried from inception until October 2020. Without any restriction to time of study, geographical location, and DM and TB diagnosis approaches, all observational studies that presented data for associations between DM and TB were included. Studies with no abstract or complete text, duplicates, and studies with wrong designs (review, case report, case series, comment on an article, and editorial) or populations were excluded. The odds ratios (OR) and their 95% confidence intervals were estimated by a random-effect model. Results The electronic and manual searches yielded 12,796 articles of which 47 were used in our study (23 case control, 14 cross-sectional and 10 cohort studies) involving 503,760 cases (DM or TB patients) and 3,596,845 controls. The size of the combined effect of TB risk in the presence of DM was OR = 2.3, 95% CI = [2.0–2.7], I2 = 94.2%. This statistically significant association was maintained in cohort (OR = 2.0, CI 95% = [1.5–2.4], I2 = 94.3%), case control (OR = 2.4, CI 95% = [2.0–2.9], I2 = 93.0%) and cross-sectional studies (OR = 2.5, CI 95% = [1.8–3.5], I2 = 95.2%). The association between DM and TB was also maintained in the sensitivity analysis including only studies with similar proportions of confounders between cases and controls. The substantial heterogeneity observed was mainly explained by the differences between geographic regions. Conclusions DM is associated with an increased risk of developing latent and active TB. To further explore the role of DM in the development of TB, more investigations of the biological mechanisms by which DM increases the risk of TB are needed. Review registration PROSPERO, CRD42021216815.
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Affiliation(s)
- Joseph Rodrigue Foe-Essomba
- Camdiagnostic, Ministry of Scientific Research and Innovation, Yaounde, Cameroon
- Faculty of Medicine and Biomedical Sciences, The University of Yaounde I, Yaounde, Cameroon
- Department of Mycobacteriology, Centre Pasteur of Cameroon, Yaounde, Cameroon
| | - Sebastien Kenmoe
- Virology Department, Centre Pasteur of Cameroon, Yaounde, Cameroon
| | | | - Jean Thierry Ebogo-Belobo
- Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | | | - Cyprien Kengne-Ndé
- Evaluation and Research Unit, National AIDS Control Committee, Yaounde, Cameroon
| | - Gadji Mahamat
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | - Ginette Irma Kame-Ngasse
- Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | - Efietngab Atembeh Noura
- Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | | | | | | | | | | | - Inès Nyebe
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | | | | | | | | | | | - Arnol Bowo-Ngandji
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | - Eric Lontchi-Yimagou
- Laboratory for Molecular Medicine and Metabolism, The University of Yaounde I, Yaounde, Cameroon
| | - Afi Leslie Kaiyven
- Institute of Biomedical and Clinical Research, University of Exeter, Exeter, United Kingdom
| | | | - Richard Njouom
- Virology Department, Centre Pasteur of Cameroon, Yaounde, Cameroon
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, The University of Yaounde I, Yaounde, Cameroon
| | | | - Sara Eyangoh
- Department of Mycobacteriology, Centre Pasteur of Cameroon, Yaounde, Cameroon
- * E-mail:
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10
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Salifu RS, Hlongwa M, Hlongwana K. Implementation of the WHO's collaborative framework for the management of tuberculosis and diabetes: a scoping review. BMJ Open 2021; 11:e047342. [PMID: 34789489 PMCID: PMC8601079 DOI: 10.1136/bmjopen-2020-047342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE To map evidence on the implementation of the WHO's collaborative framework for the management of tuberculosis (TB) and diabetes mellitus (DM) comorbidity, globally. DESIGN Scoping review. METHODS Guided by Arksey and O'Malley's scoping review framework, this review mapped literature on the global implementation of the framework for the management of TB and DM comorbidity, globally. An extensive literature search for peer-reviewed studies, theses, studies in the press and a list of references from the selected studies was conducted to source-eligible studies. PubMed, Google Scholar, Web of Science, Science Direct, the EBSCOhost platform (academic search complete, health source: nursing/academic edition, CINAHL with full text), Scopus and the WHO library were used to source the literature. We performed title screening of articles using keywords in the databases, after which two independent reviewers (RS and PV) screened abstracts and full articles. Studies from August 2011 to May 2021 were included in this review and the screening was guided by the inclusion and exclusion criteria. Findings were analysed using the thematic content analysis approach and results presented in the form of a narrative report. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension was used as a checklist and for explaining the scoping review process. RESULTS This review found evidence of the WHO TB-DM collaborative framework's implementation in 35 countries across the globe. TB-DM comorbidity was identified in patients through bidirectional screening of both patients with TB and patients with DM in rural and urban settings. CONCLUSION Due to the paucity of evidence on mechanisms of collaboration, we recommend further research in other implementing countries to identify techniques used for diagnosis and integration of TB and DM services, in order to ensure that effective and joint management of TB-DM comorbidity in populations is achieved.
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Affiliation(s)
- Rita Suhuyini Salifu
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal College of Health Sciences, Durban, KwaZulu-Natal, South Africa
- Health and Development Solutions Network, Tamale, Ghana
| | - Mbuzeleni Hlongwa
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal College of Health Sciences, Durban, KwaZulu-Natal, South Africa
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Khumbulani Hlongwana
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal College of Health Sciences, Durban, KwaZulu-Natal, South Africa
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11
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Antonio-Arques V, Franch-Nadal J, Caylà JA. Diabetes and tuberculosis: A syndemic complicated by COVID-19. ACTA ACUST UNITED AC 2021; 157:288-293. [PMID: 34541325 PMCID: PMC8433042 DOI: 10.1016/j.medcle.2021.04.006] [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: 01/15/2021] [Accepted: 04/13/2021] [Indexed: 11/25/2022]
Abstract
Tuberculosis (TB) is the leading cause of infectious mortality in the world, affecting mainly developing countries (DC), while diabetes (DM) is one of the most prevalent chronic diseases. This review analyzes the fact that diabetes is currently an important risk factor for developing TB, also presenting more complicated TB, more relapses and higher mortality. The DCs and the fourth world of the large cities are those with the highest incidence of TB and an increase in DM, which will make it difficult to control tuberculosis disease. At the same time, the COVID-19 pandemic is complicating the management of both diseases due to the difficulty of access to control and treatment and the worsening of socioeconomic inequalities. It is necessary to establish a bidirectional screening for TB and DM and promote recommendations for the joint management of both diseases.
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Affiliation(s)
- Violeta Antonio-Arques
- Institut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, Spain.,Equip d'Atenció Primària (EAP) Bordeta Magòria, Institut Català de la Salut, Barcelona, Spain
| | - Josep Franch-Nadal
- Institut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, Spain.,Equip d'Atenció Primària (EAP) Raval Sud - Drassanes, Institut Català de la Salut, Barcelona, Spain
| | - Joan A Caylà
- Fundación de la Unidad de Investigación en Tuberculosis de Barcelona, Barcelona, Spain
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12
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Huang HL, Huang WC, Lin KD, Liu SS, Lee MR, Cheng MH, Chin CS, Lu PL, Sheu CC, Wang JY, Lee IT, Chong IW. Completion Rate and Safety of Programmatic Screening and Treatment for Latent Tuberculosis Infection in Elderly Patients With Poorly Controlled Diabetic Mellitus: A Prospective Multicenter Study. Clin Infect Dis 2021; 73:e1252-e1260. [PMID: 33677558 PMCID: PMC8442788 DOI: 10.1093/cid/ciab209] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Poor control of diabetes mellitus (DM) increases active tuberculosis (TB) risk. Understanding risk factors for latent TB infection (LTBI) in this population and intervention completion rates is crucial for policy making. METHODS Under a collaborative multidisciplinary team consisting of public health professionals, endocrinologists, and pulmonologists, patients aged >45 years with poorly controlled DM (pDM), defined as having a glycated hemoglobin level of ≥9% within the preceding year, were enrolled by endocrinologists from 2 hospitals; these patients underwent LTBI screening by using QuantiFERON (QFT). Once-weekly isoniazid and rifapentine for 12 weeks (3HP) or daily isoniazid for 9 months (9H) was administered by pulmonologists. QFT-positivity predictors were evaluated using logistic regression. Completion rates and safety were also investigated. RESULTS Among 980 patients with pDM (age: 64.2 ± 9.7 years), 261 (26.6%) were QFT-positive. Age, DM duration, chronic kidney disease stage ≥3, and dipeptidyl peptidase-4 inhibitor use, not using metformin, were associated with QFT-positivity. Preventive therapy (3HP: 138; 9H: 62) was administered in 200 (76.6%) QFT-positive patients. The completion rates of 3HP and 9H were 84.1% and 79.0%, respectively (P = .494). Nine (6.5%) and zero patients in the 3HP and 9H groups, respectively, developed systemic drug reactions (P = .059); 78.3% and 45.2% had ≥1 adverse drug reactions (P < .001); and post-treatment QFT conversion rates were 32% and 20%, respectively (P = .228). CONCLUSIONS LTBI prevalence exceeds 25% in elderly patients with pDM. Under care from a collaborative multidisciplinary team, the completion rate of preventive therapy, regardless of regimen could approach, or even exceed 80% in this population.
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Affiliation(s)
- Hung-Ling Huang
- Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wei-Chang Huang
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medical Technology, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli, Taiwan
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
- Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Kun-Der Lin
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Shin-Shin Liu
- Nursing Department, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Meng-Rui Lee
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- National Taiwan University, College of Medicine, Taipei, Taiwan
| | - Meng-Hsuan Cheng
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chun-Shih Chin
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Po-Liang Lu
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chau-Chyun Sheu
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jann-Yuan Wang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- National Taiwan University, College of Medicine, Taipei, Taiwan
| | - I-Te Lee
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang-Ming University, Taiwan
- College of Science, Tunghai University, Taiwan
| | - Inn-Wen Chong
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Respiratory Therapy, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Adjunct Professor, Department of Biological Science and Technology National Chiao Tung University, Taiwan
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13
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Scordo JM, Aguillón-Durán GP, Ayala D, Quirino-Cerrillo AP, Rodríguez-Reyna E, Mora-Guzmán F, Caso JA, Ledezma-Campos E, Schlesinger LS, Torrelles JB, Turner J, Restrepo BI. A prospective cross-sectional study of tuberculosis in elderly Hispanics reveals that BCG vaccination at birth is protective whereas diabetes is not a risk factor. PLoS One 2021; 16:e0255194. [PMID: 34324578 PMCID: PMC8321126 DOI: 10.1371/journal.pone.0255194] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/10/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Aging increases the risk of tuberculosis (TB) and its adverse outcomes, but most studies are based on secondary analyses, and few are in Hispanics. Diabetes is a risk factor for TB in adults, but its contribution in the elderly is unknown. We aimed to identify the role of diabetes and other risk factors for TB in elderly Hispanics. METHODS Cross-sectional study among newly-diagnosed TB patients, recent contacts (ReC), or community controls (CoC) totaling 646 participants, including 183 elderly (>60 years; 43 TB, 80 ReC, 60 CoC) and 463 adults (18 to 50 years; 80 TB, 301 ReC and 82 CoC). Host characteristics associated with TB and latent Mycobacterium tuberculosis infection (LTBI) were identified in the elderly by univariable and confirmed by multivariable logistic regression. RESULTS LTBI was more prevalent among the elderly CoC (55% vs. 23.2% in adults; p<0.001), but not in ReC (elderly 71.3% vs. adult 63.8%); p = 0.213). Risk factors for TB in the elderly included male sex (adj-OR 4.33, 95% CI 1.76, 10.65), smoking (adj-OR 2.55, 95% CI 1.01, 6.45) and low BMI (adj-OR 12.34, 95% CI 4.44, 34.33). Unexpectedly, type 2 diabetes was not associated with TB despite its high prevalence (adj-OR 0.38, 95% CI 0.06, 2.38), and BCG vaccination at birth was protective (adj-OR 0.16, 95% CI 0.06, 0.45). CONCLUSIONS We report novel distinctions in TB risk factors in the elderly vs. adults, notably in diabetes and BCG vaccination at birth. Further studies are warranted to address disparities in this vulnerable, understudied population.
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Affiliation(s)
- Julia M. Scordo
- Host Pathogen Interactions and Population Health Programs, Texas Biomedical Research Institute, San Antonio, TX, United States of America
- The University of Texas Health Science Center of San Antonio, San Antonio, TX, United States of America
| | | | - Doris Ayala
- University of Texas Health Science Center at Houston, School of Public Health, Brownsville, TX, United States of America
| | - Ana Paulina Quirino-Cerrillo
- University of Texas Health Science Center at Houston, School of Public Health, Brownsville, TX, United States of America
| | - Eminé Rodríguez-Reyna
- Secretaria de Salud de Tamaulipas, Reynosa, Matamoros and Ciudad Victoria, Tamaulipas, México
| | - Francisco Mora-Guzmán
- Secretaria de Salud de Tamaulipas, Reynosa, Matamoros and Ciudad Victoria, Tamaulipas, México
| | - Jose A. Caso
- Biology Department, University of Texas Rio Grande Valley, Edinburg, TX, United States of America
- School of Medicine, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, United States of America
| | - Eder Ledezma-Campos
- Secretaria de Salud de Tamaulipas, Reynosa, Matamoros and Ciudad Victoria, Tamaulipas, México
| | - Larry S. Schlesinger
- Host Pathogen Interactions and Population Health Programs, Texas Biomedical Research Institute, San Antonio, TX, United States of America
| | - Jordi B. Torrelles
- Host Pathogen Interactions and Population Health Programs, Texas Biomedical Research Institute, San Antonio, TX, United States of America
| | - Joanne Turner
- Host Pathogen Interactions and Population Health Programs, Texas Biomedical Research Institute, San Antonio, TX, United States of America
| | - Blanca I. Restrepo
- University of Texas Health Science Center at Houston, School of Public Health, Brownsville, TX, United States of America
- Biology Department, University of Texas Rio Grande Valley, Edinburg, TX, United States of America
- * E-mail:
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14
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Chen Z, Liu Q, Song R, Zhang W, Wang T, Lian Z, Sun X, Liu Y. The association of glycemic level and prevalence of tuberculosis: a meta-analysis. BMC Endocr Disord 2021; 21:123. [PMID: 34134685 PMCID: PMC8207612 DOI: 10.1186/s12902-021-00779-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 06/01/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Diabetes is a well-known risk factor for tuberculosis and poorly glycemic control may increase the risk of tuberculosis. We performed a meta-analysis to explore the association of glycemic control in diabetic patients and their tuberculosis prevalence. METHODS We included observational studies that investigated the prevalence of tuberculosis associated with glycemic control. The markers of glycated hemoglobin A1c (HbA1c) and fasting plasma glucose were used to evaluate the exposure of interest in the study. We searched related articles in PubMed, EMBASE and Web of Science through 14 December 2019. The Newcastle-Ottawa scale was used to assess the risk of bias of included studies. RESULTS Seventeen studies (four cohort studies, five case-control studies and eight cross-sectional studies) were included, involving 1,027,074 participants. The meta-analysis found the pooled odds ratio of prevalent tuberculosis increased a 2.05-fold (95%CI: 1.65, 2.55) for the patients with HbA1c ≥7.0% compared to those with HbA1c concentration < 7.0%. Furthermore, we found the mean of HbA1c was higher in the diabetes mellitus with tuberculosis group than the diabetes-only group (P = 0.002). In the sensitivity analysis, the finding remains consistent. CONCLUSION Our study provides the evidence that poorly controlled diabetes in diabetics may be associated with increased prevalence of tuberculosis. More efforts should focus on screening tuberculosis in uncontrolled diabetes.
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Affiliation(s)
- Zhifei Chen
- Wuhan Pulmonary Hospital, Wuhan, Hubei, China.
| | - Qi Liu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ranran Song
- Department of Maternal and Child Health and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No 13 Hangkong Road, Wuhan, Hubei, China
| | - Wenxin Zhang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | | | - Zhan Lian
- Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Xuezhi Sun
- Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Yanli Liu
- Wuhan Pulmonary Hospital, Wuhan, Hubei, China
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15
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Antonio-Arques V, Franch-Nadal J, Caylà JA. Diabetes and tuberculosis: a syndemic complicated by COVID-19. Med Clin (Barc) 2021; 157:288-293. [PMID: 34049681 PMCID: PMC8101986 DOI: 10.1016/j.medcli.2021.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/12/2021] [Accepted: 04/13/2021] [Indexed: 01/16/2023]
Abstract
Tuberculosis (TB) is the leading cause of infectious mortality in the world, affecting mainly developing countries (DC), while diabetes (DM) is one of the most prevalent chronic diseases. This review analyzes the fact that diabetes is currently an important risk factor for developing TB, also presenting more complicated TB, more relapses and higher mortality. The DCs and the fourth world of the large cities are those with the highest incidence of TB and an increase in DM, which will make it difficult to control tuberculosis disease. At the same time, the COVID-19 pandemic is complicating the management of both diseases due to the difficulty of access to control and treatment and the worsening of socioeconomic inequalities. It is necessary to establish a bidirectional screening for TB and DM and promote recommendations for the joint management of both diseases.
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Affiliation(s)
- Violeta Antonio-Arques
- Institut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España; Equip d'Atenció Primària (EAP) Bordeta Magòria, Institut Català de la Salut, Barcelona, España
| | - Josep Franch-Nadal
- Institut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España; Equip d'Atenció Primària (EAP) Raval Sud - Drassanes, Institut Català de la Salut, Barcelona, España.
| | - Joan A Caylà
- Fundación de la Unidad de Investigación en Tuberculosis de Barcelona, Barcelona, España
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16
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Gutierrez J, Kroon EE, Möller M, Stein CM. Phenotype Definition for "Resisters" to Mycobacterium tuberculosis Infection in the Literature-A Review and Recommendations. Front Immunol 2021; 12:619988. [PMID: 33717116 PMCID: PMC7946835 DOI: 10.3389/fimmu.2021.619988] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/14/2021] [Indexed: 12/03/2022] Open
Abstract
Tuberculosis (TB) remains a worldwide problem. Despite the high disease rate, not all who are infected with Mycobacterium Tuberculosis (Mtb) develop disease. Interferon-γ (IFN-γ) specific T cell immune assays such as Quantiferon and Elispot, as well as a skin hypersensitivity test, known as a tuberculin skin test, are widely used to infer infection. These assays measure immune conversion in response to Mtb. Some individuals measure persistently negative to immune conversion, despite high and prolonged exposure to Mtb. Increasing interest into this phenotype has led to multiple publications describing various aspects of these responses. However, there is a lack of a unified "resister" definition. A universal definition will improve cross study data comparisons and assist with future study design and planning. We review the current literature describing this phenotype and make recommendations for future studies.
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Affiliation(s)
- Jesús Gutierrez
- Department of Population and Quantitative Health Science, Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Elouise E. Kroon
- DSI-NRF 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, South Africa
| | - Marlo Möller
- DSI-NRF 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, South Africa
| | - Catherine M. Stein
- Department of Population and Quantitative Health Science, Case Western Reserve University School of Medicine, Cleveland, OH, United States
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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: 23] [Impact Index Per Article: 7.7] [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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