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Viswanathan V, Devarajan A, Kumpatla S, Dhanasekaran M, Babu S, Kornfeld H. Effect of prediabetes on tuberculosis treatment outcomes: A study from South India. Diabetes Metab Syndr 2023; 17:102801. [PMID: 37354752 PMCID: PMC10528008 DOI: 10.1016/j.dsx.2023.102801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/18/2023] [Accepted: 05/28/2023] [Indexed: 06/26/2023]
Abstract
BACKGROUND AND AIMS The aim was to assess the effect of prediabetes on tuberculosis(TB) treatment outcomes. METHODS This is a prospective observational cohort study of 569 eligible new smear positive cases screened for DM between 2014 and 2018 in TB units in North Chennai, South India. Based on study criteria, a total of 187 subjects were included and categorised into two groups: TB with normoglycaemia (groupI) (HbA1c<5.7%) and TB with prediabetes (group II) (HbA1c = 5.7-6.4%) and followed them at 3rd and 6th month and treatment outcomes were assessed at the end of the TB treatment. RESULTS Total cure rate was 72.7% with no significant difference between the groups. Higher proportion of deaths occurred in group II (6.3%) compared to group I (1.3%) (p = 0.09). At the end of intensive phase of directly observed therapy (DOTS) treatment, about 23.8% were observed to have positive sputum smear in group II compared to 8.6% in group I(p = 0.019). The estimated relative risk to remain as sputum smear positive among people with prediabetes at the end of intensive phase was 3.0(95% CI: 1.2-7.6). There was a significant association found with HbA1c at enrollment and unfavourable TB treatment outcomes (β = 1.38, [odds ratio (95% CI) 3.98(1.65-9.64); p = 0.007]. CONCLUSION Death rate was high and there was a delay in sputum conversion among TB patients with prediabetes at the end of the intensive phase of TB treatment. HbA1c at the time of diagnosis of prediabetes was significantly associated with unfavourable TB treatment outcomes.
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Affiliation(s)
- Vijay Viswanathan
- Prof. M. Viswanathan Diabetes Research Centre, Royapuram, Chennai, India.
| | | | - Satyavani Kumpatla
- Prof. M. Viswanathan Diabetes Research Centre, Royapuram, Chennai, India.
| | | | - Subash Babu
- National Institutes of Health-International Centre for Excellence in Research, National Institute for Research in Tuberculosis, Chennai, India.
| | - Hardy Kornfeld
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
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Sinha P, Ponnuraja C, Gupte N, Prakash Babu S, Cox SR, Sarkar S, Mave V, Paradkar M, Cintron C, Govindarajan S, Kinikar A, Priya N, Gaikwad S, Thangakunam B, Devarajan A, Dhanasekaran M, Tornheim JA, Gupta A, Salgame P, Christopher DJ, Kornfeld H, Viswanathan V, Ellner JJ, Horsburgh CR, Gupte AN, Padmapriyadarsini C, Hochberg NS. Impact of Undernutrition on Tuberculosis Treatment Outcomes in India: A Multicenter, Prospective, Cohort Analysis. Clin Infect Dis 2023; 76:1483-1491. [PMID: 36424864 PMCID: PMC10319769 DOI: 10.1093/cid/ciac915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 11/10/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Undernutrition is the leading risk factor for tuberculosis (TB) globally. Its impact on treatment outcomes is poorly defined. METHODS We conducted a prospective cohort analysis of adults with drug-sensitive pulmonary TB at 5 sites from 2015-2019. Using multivariable Poisson regression, we assessed associations between unfavorable outcomes and nutritional status based on body mass index (BMI) nutritional status at treatment initiation, BMI prior to TB disease, stunting, and stagnant or declining BMI after 2 months of TB treatment. Unfavorable outcome was defined as a composite of treatment failure, death, or relapse within 6 months of treatment completion. RESULTS Severe undernutrition (BMI <16 kg/m2) at treatment initiation and severe undernutrition before the onset of TB disease were both associated with unfavorable outcomes (adjusted incidence rate ratio [aIRR], 2.05; 95% confidence interval [CI], 1.42-2.91 and aIRR, 2.20; 95% CI, 1.16-3.94, respectively). Additionally, lack of BMI increase after treatment initiation was associated with increased unfavorable outcomes (aIRR, 1.81; 95% CI, 1.27-2.61). Severe stunting (height-for-age z score <-3) was associated with unfavorable outcomes (aIRR, 1.52; 95% CI, 1.00-2.24). Severe undernutrition at treatment initiation and lack of BMI increase during treatment were associated with a 4- and 5-fold higher rate of death, respectively. CONCLUSIONS Premorbid undernutrition, undernutrition at treatment initiation, lack of BMI increase after intensive therapy, and severe stunting are associated with unfavorable TB treatment outcomes. These data highlight the need to address this widely prevalent TB comorbidity. Nutritional assessment should be integrated into standard TB care.
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Affiliation(s)
- Pranay Sinha
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Chinnaiyan Ponnuraja
- Indian Council of Medical Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Nikhil Gupte
- Byramjee Jeejeebhoy Government Medical College, Sassoon General Hospitals–Johns Hopkins University Clinical Research Site, Pune, Maharashtra, India
- Center for Infectious Diseases in India, Johns Hopkins India, Pune, Maharashtra, India
- Division of Infectious Diseases, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | | | - Samyra R Cox
- Division of Infectious Diseases, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Sonali Sarkar
- Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Vidya Mave
- Byramjee Jeejeebhoy Government Medical College, Sassoon General Hospitals–Johns Hopkins University Clinical Research Site, Pune, Maharashtra, India
- Center for Infectious Diseases in India, Johns Hopkins India, Pune, Maharashtra, India
- Division of Infectious Diseases, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Mandar Paradkar
- Byramjee Jeejeebhoy Government Medical College, Sassoon General Hospitals–Johns Hopkins University Clinical Research Site, Pune, Maharashtra, India
- Center for Infectious Diseases in India, Johns Hopkins India, Pune, Maharashtra, India
| | - Chelsie Cintron
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - S Govindarajan
- Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
- National Tuberculosis Elimination Program, Puducherry, India
| | - Aarti Kinikar
- Byramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, Maharashtra, India
| | - Nadesan Priya
- Christian Medical College, Vellore, Tamil Nadu, India
| | - Sanjay Gaikwad
- Byramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, Maharashtra, India
| | | | | | | | - Jeffrey A Tornheim
- Division of Infectious Diseases, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Amita Gupta
- Division of Infectious Diseases, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Padmini Salgame
- Center for Emerging Pathogens, Department of Medicine, New Jersey Medical School, Rutgers Biomedical and Health Sciences, Newark, New Jersey, USA
| | | | - Hardy Kornfeld
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Vijay Viswanathan
- Prof. M. Viswanathan Diabetes Research Centre, Chennai, Tamil Nadu, India
| | - Jerrold J Ellner
- Center for Emerging Pathogens, Department of Medicine, New Jersey Medical School, Rutgers Biomedical and Health Sciences, Newark, New Jersey, USA
| | - C Robert Horsburgh
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Akshay N Gupte
- Division of Infectious Diseases, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | | | - Natasha S Hochberg
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
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Kumpatla S, Parveen R, Murugan P, Juttada U, Devarajan A, Viswanathan V. Hyperglucagonemia and impaired insulin sensitivity are associated with development of prediabetes and type 2 diabetes - A study from South India. Diabetes Metab Syndr 2021; 15:102199. [PMID: 34265492 DOI: 10.1016/j.dsx.2021.102199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 07/01/2021] [Accepted: 07/04/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS Glucagon levels and glucagon suppression in response to oral glucose load has not been elucidated at different stages of glucose intolerance in India. METHODS A total of 81 subjects underwent OGTT and were classified into three groups as having normal glucose tolerance (NGT) (n = 23), prediabetes (PreDM) (n = 33), newly diagnosed diabetes (NDM) (n = 25). Insulin and glucagon at fasting, 30 and 120 min was measured by ELISA. HOMA-IR, measures of insulin sensitivity, early, late and overall glucagon suppression during OGTT was calculated. RESULTS Plasma glucagon levels were higher at all-time points in the PreDM and NDM groups. Fasting glucagon levels were higher than post glucose load glucagon in all groups. There was a significant difference in the fasting(p = 0.001), 30 min(p = 0.004) and 120 min(p = 0.032) glucagon between the groups. HOMA-IR increased and insulin sensitivity decreased with worsening of glucose intolerance(p < 0.0001). The groups did not differ in terms of early glucagon suppression(p = 0.094). NDM group suppressed glucagon more than NGT from 30 to 120 min after glucose intake. CONCLUSION This study demonstrated higher fasting glucagon levels. Prediabetes and newly diagnosed diabetes individuals had higher glucagon levels, high insulin resistance and lower insulin sensitivity. Hyperglucagonemia may contribute to type 2 diabetes.
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Affiliation(s)
- Satyavani Kumpatla
- Department of Biochemistry, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Rizwana Parveen
- Department of Primary Prevention of Diabetes, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Premalatha Murugan
- Department of Primary Prevention of Diabetes, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Udyama Juttada
- Departments of Genetics, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Arutselvi Devarajan
- Department of Epidemiology, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Vijay Viswanathan
- Department of Diabetology, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Center (WHO Collaborating Center for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
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Viswanathan V, Sivakumar S, Sai Prathiba A, Devarajan A, George L, Kumpatla S. Effect of yoga intervention on biochemical, oxidative stress markers, inflammatory markers and sleep quality among subjects with type 2 diabetes in South India: Results from the SATYAM project. Diabetes Res Clin Pract 2021; 172:108644. [PMID: 33359750 DOI: 10.1016/j.diabres.2020.108644] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 12/12/2020] [Accepted: 12/21/2020] [Indexed: 11/27/2022]
Abstract
AIMS The aim of this study was to investigate the effect of yoga intervention on the biochemical, oxidative stress markers and inflammatory markers and sleep quality among subjects with type 2 diabetes. METHODS Subjects with type 2 diabetes attending a tertiary care centre for diabetes during Feb 2017 to Oct 2019 in Chennai, India were randomly assigned to two different groups. Group1(non-Yoga) (n = 150) was advised on simple physical exercises whereas group2(Yoga) (n = 150) was trained and advised to do yogasanas with static loosening exercises for 50 min for 5 days in a week. Both the groups were followed up for a period of 3 months. Anthropometric, biochemical, oxidative stress markers, inflammatory markers and sleep quality were assessed at baseline and after follow up. RESULTS There was a significant reduction in BMI, blood glucose levels, HbA1c, lipid levels, IL6, TNFα and TBARS in Yoga group as compared to non-Yoga group. There was marked improvement in the levels of Adiponectin, PTGIS and sleep quality among subjects practising yogasanas. CONCLUSION Regular practice of yogasanas improved glycaemic control, oxidative stress, inflammatory response and sleep quality among subjects with type 2 diabetes. Hence, Yogasanas can be used as an adjuvant therapy for managing type 2 diabetes.
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Affiliation(s)
- Vijay Viswanathan
- Department of Diabetology, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
| | - Sumathi Sivakumar
- Department of Yoga, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - A Sai Prathiba
- Department of Primary Prevention of Diabetes, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Arutselvi Devarajan
- Department of Epidemiology, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Leema George
- Department of Molecular Genetics, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Satyavani Kumpatla
- Department of Biochemistry, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
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Devarajan A, Karuppiah K, Venkatasalam R, Avasarala S, Subramanian S, Immaneni S, Viswanathan V. Heart failure in people with type 2 diabetes vs. those without diabetes: A retrospective observational study from South India. Diabetes Metab Syndr 2021; 15:39-43. [PMID: 33307298 DOI: 10.1016/j.dsx.2020.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/23/2020] [Accepted: 11/25/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND AIM Despite diabetes being an independent risk for HF, only some DM patients develop HF and hence our aim was to compare the clinical features of DM with and without HF and non-DM with and without HF. METHODS A retrospective observational study was conducted among 397 individuals who visited two tertiary care centres. They were classified into 4 groups - DM with HF(DM-HF), DM without HF, non-DM with HF(non-DM-HF) and non-DM without HF. We assessed and compared the clinical profile of DM with HF vs. DM without HF and non-DM with HF groups respectively. RESULTS The parameters such as age, BMI, BP, eGFR showed significant difference between the groups. People with DM-HF were older compared to DM without HF group(58.9 ± 9.2vs.49.5 ± 9.3; p < 0.001). An increasing trend was observed in HF prevalence with increasing duration of DM among the DM-HF group. DM-HF showed a higher prevalence of hypertension and coronary artery disease(CAD) by history than DM without HF group. DM-HF group(91.2%) had HF with preserved left ventricular ejection fraction(HFpEF) whereas a high proportion(43.5%) of non-DM-HF group had HF with reduced LV ejection fraction(HFrEF). CONCLUSIONS The DM-HF group differed from other groups significantly in age, diabetes duration, HbA1c level, prevalence of hypertension, CAD and HFpEF.
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Affiliation(s)
- Arutselvi Devarajan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | | | - Rubini Venkatasalam
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - SaiPrathiba Avasarala
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | | | | | - Vijay Viswanathan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (WHO Collaborating Centre for Research, Education and Training in Diabetes) (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
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