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Jeyashree K, Thangaraj JWV, Shanmugasundaram D, Sri Lakshmi Priya G, Pandey S, Janagaraj V, Shanmugasundaram P, Ts S, Ramasamy S, Chadwick J, Arunachalam S, Sharma R, Shah V, Chowdhury A, Iyer S, Rao R, Mattoo SK, Murhekar MV, Evaluation Group NPY. Ni-kshay Poshan Yojana: receipt and utilization among persons with TB notified under the National TB Elimination Program in India, 2022. Glob Health Action 2024; 17:2363300. [PMID: 39034827 PMCID: PMC11265306 DOI: 10.1080/16549716.2024.2363300] [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: 01/22/2024] [Accepted: 05/28/2024] [Indexed: 07/23/2024] Open
Abstract
BACKGROUND Ni-kshay Poshan Yojana (NPY), a direct benefit transfer scheme under the National Tuberculosis Elimination Program (NTEP) in India, provides a monthly benefit of INR500 for nutritional support of persons with TB (PwTB). OBJECTIVES To determine the proportion of PwTB receiving atleast one NPY instalment and pattern of utilisation; to ascertain factors associated with NPY non-receipt and association of NPY receipt with TB treatment outcome. METHODS In our cross-sectional study, we used multi-stage sampling to select PwTB whose treatment outcome was declared between May 2022 and February 2023. A cluster-adjusted, generalized linear model was used to identify factors associated with the non-receipt of NPY and determine association between NPY receipt and TB treatment outcome. RESULTS Among 3201 PwTB, 2888 (92.7%; 95% CI 89.8%, 94.8%) had received at least one NPY instalment, and 1903 (64.2%; 95% CI 58.9%, 69.2%) self-reported receipt of benefit. The median (IQR) time to receipt of first instalment was 105 (60,174) days. Non-receipt was significantly higher among PwTB from states with low TB score (aPR = 2.34; 95%CI 1.51, 3.62), who do not have bank account (aPR = 2.48; 95%CI 1.93, 3.19) and with unknown/missing diabetic status (aPR = 1.69; 95%CI 1.11, 2.55). Unfavorable treatment outcomes were associated with non-receipt of NPY (aPR 4.93; 95%CI 3.61,6.75) after adjusting for potential confounders. CONCLUSION Majority of the PwTB received atleast one NPY instalment, but they experience significant delays. Most of the recipients utilised NPY for nutrition. Longitudinal follow-up studies are required to study the impact of NPY on treatment outcomes.
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Affiliation(s)
- Kathiresan Jeyashree
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - Jeromie W V Thangaraj
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - Devika Shanmugasundaram
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - G Sri Lakshmi Priya
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - Sumit Pandey
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | | | - Prema Shanmugasundaram
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - Sumitha Ts
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - Sabarinathan Ramasamy
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | - Joshua Chadwick
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
| | | | - Rahul Sharma
- TB Support Network, WHO Country Office for India, New Delhi, India
| | - Vaibhav Shah
- TB Support Network, WHO Country Office for India, New Delhi, India
| | - Aniket Chowdhury
- TB Support Network, WHO Country Office for India, New Delhi, India
| | - Swati Iyer
- TB Support Network, WHO Country Office for India, New Delhi, India
| | - Raghuram Rao
- Central TB Division, Ministry of Health and Family Welfare, New Delhi, India
| | - Sanjay K Mattoo
- Central TB Division, Ministry of Health and Family Welfare, New Delhi, India
| | - Manoj V Murhekar
- Division of Epidemiology and Biostatistics, ICMR-National Institute of Epidemiology, Chennai, India
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Richterman A, Saintilien E, St-Cyr M, Claudia Gracia L, Sauer S, Pierre I, Compere M, Elnaiem A, Dumerjuste D, Ivers LC. Food Insecurity at Tuberculosis Treatment Initiation Is Associated With Clinical Outcomes in Rural Haiti: A Prospective Cohort Study. Clin Infect Dis 2024; 79:534-541. [PMID: 38888419 DOI: 10.1093/cid/ciae252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Tuberculosis is a leading cause of death worldwide, and food insecurity is known to negatively influence health outcomes through multiple pathways. Few studies have interrogated the relationship between food insecurity and tuberculosis outcomes, particularly independent of nutrition. METHODS We conducted a prospective cohort study of adults initiating first-line treatment for clinically suspected or microbiologically confirmed drug-sensitive tuberculosis at a rural referral center in Haiti. We administered a baseline questionnaire, collected clinical data, and analyzed laboratory samples. We used logistic regression models to estimate the relationship between household food insecurity (Household Hunger Scale) and treatment failure or death. We accounted for exclusion of patients lost to follow-up using inverse probability of censoring weighting and adjusted for measured confounders and nutritional status using inverse probability of treatment weighting. RESULTS We enrolled 257 participants (37% female) between May 2020 and March 2023 with a median age (interquartile range) of 35 (25-45) years. Of these, 105 (41%) had no hunger in the household, 104 (40%) had moderate hunger in the household, and 48 (19%) had severe hunger in the household. Eleven participants (4%) died, and 6 (3%) had treatment failure. After adjustment, food insecurity was significantly associated with subsequent treatment failure or death (odds ratio 5.78 [95% confidence interval, 1.20-27.8]; P = .03). CONCLUSIONS Household food insecurity at tuberculosis treatment initiation was significantly associated with death or treatment failure after accounting for loss to follow-up, measured confounders, and nutritional status. In addition to the known importance of undernutrition, our findings indicate that food insecurity independently affects tuberculosis treatment outcomes in Haiti.
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Affiliation(s)
- Aaron Richterman
- Department of Medicine (Infectious Diseases), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elie Saintilien
- Tuberculosis Program, Health Equity International/St Boniface Hospital, Fond-des-Blancs, Haiti
| | - Medgine St-Cyr
- Tuberculosis Program, Health Equity International/St Boniface Hospital, Fond-des-Blancs, Haiti
| | - Louise Claudia Gracia
- Tuberculosis Program, Health Equity International/St Boniface Hospital, Fond-des-Blancs, Haiti
| | - Sara Sauer
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Inobert Pierre
- Tuberculosis Program, Health Equity International/St Boniface Hospital, Fond-des-Blancs, Haiti
| | - Moise Compere
- Tuberculosis Program, Health Equity International/St Boniface Hospital, Fond-des-Blancs, Haiti
| | - Ahmed Elnaiem
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Dyemy Dumerjuste
- Tuberculosis Program, Health Equity International/St Boniface Hospital, Fond-des-Blancs, Haiti
| | - Louise C Ivers
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA
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Franco JV, Bongaerts B, Metzendorf MI, Risso A, Guo Y, Peña Silva L, Boeckmann M, Schlesinger S, Damen JA, Richter B, Baddeley A, Bastard M, Carlqvist A, Garcia-Casal MN, Hemmingsen B, Mavhunga F, Manne-Goehler J, Viney K. Undernutrition as a risk factor for tuberculosis disease. Cochrane Database Syst Rev 2024; 6:CD015890. [PMID: 38860538 PMCID: PMC11165671 DOI: 10.1002/14651858.cd015890.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
BACKGROUND Tuberculosis (TB) is a leading cause of mortality due to an infectious disease, with an estimated 1.6 million deaths due to TB in 2022. Approximately 25% of the global population has TB infection, giving rise to 10.6 million episodes of TB disease in 2022. Undernutrition is a key risk factor for TB and was linked to an estimated 2.2 million TB episodes in 2022, as outlined in the World Health Organization (WHO) Global Tuberculosis Report. OBJECTIVES To determine the prognostic value of undernutrition in the general population of adults, adolescents, and children for predicting tuberculosis disease over any time period. SEARCH METHODS We searched the literature databases MEDLINE (via PubMed) and WHO Global Index Medicus, as well as the WHO International Clinical Trials Registry Platform (ICTRP) on 3 May 2023 (date of last search for all databases). We placed no restrictions on the language of publication. SELECTION CRITERIA We included retrospective and prospective cohort studies, irrespective of publication status or language. The target population comprised adults, adolescents, and children from diverse settings, encompassing outpatient and inpatient cohorts, with varying comorbidities and risk of exposure to tuberculosis. DATA COLLECTION AND ANALYSIS We used standard Cochrane methodology and the Quality In Prognosis Studies (QUIPS) tool to assess the risk of bias of the studies. Prognostic factors included undernutrition, defined as wasting, stunting, and underweight, with specific measures such as body mass index (BMI) less than two standard deviations below the median for children and adolescents and low BMI scores (< 18.5) for adults and adolescents. Prognostication occurred at enrolment/baseline. The primary outcome was the incidence of TB disease. The secondary outcome was recurrent TB disease. We performed a random-effects meta-analysis for the adjusted hazard ratios (HR), risk ratios (RR), or odds ratios (OR), employing the restricted maximum likelihood estimation. We rated the certainty of the evidence using the GRADE approach. MAIN RESULTS We included 51 cohort studies with over 27 million participants from the six WHO regions. Sixteen large population-based studies were conducted in China, Singapore, South Korea, and the USA, and 25 studies focused on people living with HIV, which were mainly conducted in the African region. Most studies were in adults, four in children, and three in children and adults. Undernutrition as an exposure was usually defined according to standard criteria; however, the diagnosis of TB did not include a confirmatory culture or molecular diagnosis using a WHO-approved rapid diagnostic test in eight studies. The median follow-up time was 3.5 years, and the studies primarily reported an adjusted hazard ratio from a multivariable Cox-proportional hazard model. Hazard ratios (HR) The HR estimates represent the highest certainty of the evidence, explored through sensitivity analyses and excluding studies at high risk of bias. We present 95% confidence intervals (CI) and prediction intervals, which present between-study heterogeneity represented in a measurement of the variability of effect sizes (i.e. the interval within which the effect size of a new study would fall considering the same population of studies included in the meta-analysis). Undernutrition may increase the risk of TB disease (HR 2.23, 95% CI 1.83 to 2.72; prediction interval 0.98 to 5.05; 23 studies; 2,883,266 participants). The certainty of the evidence is low due to a moderate risk of bias across studies and inconsistency. When stratified by follow-up time, the results are more consistent across < 10 years follow-up (HR 2.02, 95% CI 1.74 to 2.34; prediction interval 1.20 to 3.39; 22 studies; 2,869,077 participants). This results in a moderate certainty of evidence due to a moderate risk of bias across studies. However, at 10 or more years of follow-up, we found only one study with a wider CI and higher HR (HR 12.43, 95% CI 5.74 to 26.91; 14,189 participants). The certainty of the evidence is low due to the moderate risk of bias and indirectness. Odds ratio (OR) Undernutrition may increase the odds of TB disease, but the results are uncertain (OR 1.56, 95% CI 1.13 to 2.17; prediction interval 0.61 to 3.99; 8 studies; 173,497 participants). Stratification by follow-up was not possible as all studies had a follow-up of < 10 years. The certainty of the evidence is very low due to the high risk of bias and inconsistency. Contour-enhanced funnel plots were not reported due to the few studies included. Risk ratio (RR) Undernutrition may increase the risk of TB disease (RR 1.95, 95% CI 1.72 to 2.20; prediction interval 1.49 to 2.55; 4 studies; 1,475,867 participants). Stratification by follow-up was not possible as all studies had a follow-up of < 10 years. The certainty of the evidence is low due to the high risk of bias. Contour-enhanced funnel plots were not reported due to the few studies included. AUTHORS' CONCLUSIONS Undernutrition probably increases the risk of TB two-fold in the short term (< 10 years) and may also increase the risk in the long term (> 10 years). Policies targeted towards the reduction of the burden of undernutrition are not only needed to alleviate human suffering due to undernutrition and its many adverse consequences, but are also an important part of the critical measures for ending the TB epidemic by 2030. Large population-based cohorts, including those derived from high-quality national registries of exposures (undernutrition) and outcomes (TB disease), are needed to provide high-certainty estimates of this risk across different settings and populations, including low and middle-income countries from different WHO regions. Moreover, studies including children and adolescents and state-of-the-art methods for diagnosing TB would provide more up-to-date information relevant to practice and policy. FUNDING World Health Organization (203256442). REGISTRATION PROSPERO registration: CRD42023408807 Protocol: https://doi.org/10.1002/14651858.CD015890.
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Affiliation(s)
- Juan Va Franco
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Brenda Bongaerts
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Maria-Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Agostina Risso
- Family and Community Medicine Division, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Yang Guo
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Laura Peña Silva
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Melanie Boeckmann
- Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center (Deutsches Diabetes-Zentrum/DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Johanna Aag Damen
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Annabel Baddeley
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | - Mathieu Bastard
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | - Anna Carlqvist
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | | | - Bianca Hemmingsen
- Department of Noncommunicable Diseases, World Health Organization, Geneva, Switzerland
| | - Farai Mavhunga
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | | | - Kerri Viney
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
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Latif A, Kushwaha RAS, Srivastava G, Kumar A, Kant S, Kumar S. Body Mass Index a Forecast of Sputum Culture Conversion Among Drug-Resistant Tuberculosis Patients. Cureus 2024; 16:e63262. [PMID: 39070391 PMCID: PMC11282479 DOI: 10.7759/cureus.63262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2024] [Indexed: 07/30/2024] Open
Abstract
Background Drug-resistant tuberculosis is a major health issue around the world. The time it takes to find a sputum-positive patient is a major risk factor for the spread of tuberculosis, and many things can indicate a longer time to culture conversion. Also, there is strong proof that poor nutrition is linked to infectious diseases. So, this study aimed to look into the link between a person's body mass index (BMI) and the change of a sputum culture within three months in people who have rifampicin-resistant (RR)/multidrug-resistant (MDR)-tuberculosis (TB) kept on a bedaquiline-based regimen. Materials and methods The Department of Respiratory Medicine at King George's Medical University, Lucknow, hosted an observational, analytical, prospective, single-center study from May 2020 to April 2021. The study included 105 people who had been identified with RR/MDR-TB and were on an optimized background regimen that included a bedaquiline-based regimen. The result we were interested in was sputum culture conversion within three months, and we looked at how BMI related to that outcome. Analytical analyses utilized Pearson's chi-square test for categorical variables and the t-test for continuous variables. Differences with a P-value of <0.05 were considered significant. SPSS software (version 18.0, IBM Corp., Armonk, NY, USA) was used for all analyses, with missing data not replaced or credited. Results A total of 105 people who met the inclusion and exclusion criteria were analyzed. The patients had a mean age of 33.34 years and were mostly male 61 (58%). Fifty-eight (58; 55%) patients lived in rural areas. Most patients had fever 77 (73%), cough 72 (69%), and weight loss 66 (63%). Sixty-nine (69; 66%) patients had a history of TB. Fifty-seven patients had a BMI of <18.5 kg/m2, and 48 patients had with BMI of ≥18.5. At the end of the study, 75/105 patients converted their sputum culture. Of the 105 patients, 57 (54%) had a low BMI (less than 18.5 kg/m2). Among the 57 patients with a BMI of <18.5 kg/m2, only 28 (46%) achieved sputum culture conversion after 3 months while 29 (60%) of 48 with BMI ≥18.5 achieved sputum culture conversion after 3 months. Among the patients with a BMI <18.5, 15/57 (26%) tested positive for sputum culture after three months. In patients with a BMI of ≥18.5, only 4/48 (8%) patients tested positive for sputum culture after three months. Conclusion In patients with drug-resistant tuberculosis, low BMI (<18.5 kg/m2) was an independent risk factor for failing to convert sputum cultures within three months.
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Affiliation(s)
- Amaan Latif
- Respiratory Medicine, Ganesh Shankar Vidyarthi Memorial (GSVM) Medical College, Kanpur, IND
| | - R A S Kushwaha
- Respiratory Medicine, King George's Medical University, Lucknow, IND
| | - Gaurav Srivastava
- Respiratory Medicine, King George's Medical University, Lucknow, IND
| | - Ankit Kumar
- Respiratory Medicine, King George's Medical University, Lucknow, IND
| | - Surya Kant
- Respiratory Medicine, King George's Medical University, Lucknow, IND
| | - Satish Kumar
- Medicine, King George's Medical University, Lucknow, IND
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Richterman A, Sinha P, Ivers LC, Gross R, Rantleru T, Tamuhla N, Bisson GP. Food Insecurity and Undernutrition Are Associated With Distinct Immunologic Profiles in People With Tuberculosis and Advanced HIV Starting Antiretroviral Therapy. J Acquir Immune Defic Syndr 2024; 95:494-504. [PMID: 38346410 PMCID: PMC10947883 DOI: 10.1097/qai.0000000000003386] [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: 09/25/2023] [Accepted: 12/20/2023] [Indexed: 03/17/2024]
Abstract
BACKGROUND Food insecurity and undernutrition are related but distinct concepts contributing to poor HIV and tuberculosis outcomes. Pathways linking them with immunologic profile, which may relate to clinical outcomes, remain understudied. METHODS We analyzed data from a cohort study of 165 antiretroviral therapy (ART)-naïve adults with advanced HIV and newly diagnosed tuberculosis in Botswana from 2009 to 2013. Twenty-nine plasma biomarkers were measured pre-ART and 4 weeks post-ART initiation. We used principal components analysis (PCA) and multivariable linear regression models to assess relationships between immunological profiles and food insecurity (based on the Household Food Insecurity Access Scale), undernutrition (body mass index <18.5 kg/m 2 ), and clinical outcomes. RESULTS PCA identified 5 principal components with eigenvalues >1. After adjustment, food insecurity was associated with PC3 pre-ART (0.19 per increased category of severity, 95% CI: 0.02 to 0.36) and post-ART (0.24, 95% CI: 0.07 to 0.41). PC3 was driven by higher levels of IFN-α, IFN-γ, interleukin (IL)-12p40, vascular endothelial growth factor, IL-1α, and IL-8 and decreased concentrations of IL-3. Undernutrition was associated with PC5 post-ART (0.49, 95% CI: 0.16 to 0.82). PC5 was driven by higher levels of IL-8, MIP-1α, IL-6, and IL-10 and decreased concentrations in IP-10 and IFN-α. Post-ART PC3 (4.3 percentage point increased risk per increased score of 1, 95% CI: 0.3 to 8.9) and post-ART PC5 (4.8, 95% CI: 0.6 to 8.9) were associated with death in adjusted models. DISCUSSION We identified 2 distinct immunologic profiles associated with food insecurity, undernutrition, and clinical outcomes in patients with advanced HIV and tuberculosis. Different pathophysiologic processes may link food insecurity and undernutrition with poor outcomes in this vulnerable patient population. Future studies should assess the impact of improving food access and intake on immune function and clinical outcomes.
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Affiliation(s)
- Aaron Richterman
- Department of Medicine (Infectious Diseases), University of Pennsylvania, Philadelphia, PA
| | - Pranay Sinha
- Department of Medicine (Infectious Diseases), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Louise C Ivers
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA
- Center for Global Health, Massachusetts General Hospital, Boston, MA
| | - Robert Gross
- Department of Medicine (Infectious Diseases), University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; and
| | | | - Neo Tamuhla
- Botswana-UPenn Partnership, Gaborone, Botswana
| | - Gregory P Bisson
- Department of Medicine (Infectious Diseases), University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; and
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Dheda K, Mirzayev F, Cirillo DM, Udwadia Z, Dooley KE, Chang KC, Omar SV, Reuter A, Perumal T, Horsburgh CR, Murray M, Lange C. Multidrug-resistant tuberculosis. Nat Rev Dis Primers 2024; 10:22. [PMID: 38523140 DOI: 10.1038/s41572-024-00504-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/16/2024] [Indexed: 03/26/2024]
Abstract
Tuberculosis (TB) remains the foremost cause of death by an infectious disease globally. Multidrug-resistant or rifampicin-resistant TB (MDR/RR-TB; resistance to rifampicin and isoniazid, or rifampicin alone) is a burgeoning public health challenge in several parts of the world, and especially Eastern Europe, Russia, Asia and sub-Saharan Africa. Pre-extensively drug-resistant TB (pre-XDR-TB) refers to MDR/RR-TB that is also resistant to a fluoroquinolone, and extensively drug-resistant TB (XDR-TB) isolates are additionally resistant to other key drugs such as bedaquiline and/or linezolid. Collectively, these subgroups are referred to as drug-resistant TB (DR-TB). All forms of DR-TB can be as transmissible as rifampicin-susceptible TB; however, it is more difficult to diagnose, is associated with higher mortality and morbidity, and higher rates of post-TB lung damage. The various forms of DR-TB often consume >50% of national TB budgets despite comprising <5-10% of the total TB case-load. The past decade has seen a dramatic change in the DR-TB treatment landscape with the introduction of new diagnostics and therapeutic agents. However, there is limited guidance on understanding and managing various aspects of this complex entity, including the pathogenesis, transmission, diagnosis, management and prevention of MDR-TB and XDR-TB, especially at the primary care physician level.
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Affiliation(s)
- Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute & South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa.
- Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, UK.
| | - Fuad Mirzayev
- Global Tuberculosis Programme, WHO, Geneva, Switzerland
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute Milan, Milan, Italy
| | - Zarir Udwadia
- Department of Pulmonology, Hinduja Hospital & Research Center, Mumbai, India
| | - Kelly E Dooley
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kwok-Chiu Chang
- Tuberculosis and Chest Service, Centre for Health Protection, Department of Health, Hong Kong, SAR, China
| | - Shaheed Vally Omar
- Centre for Tuberculosis, National & WHO Supranational TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa
- Department of Molecular Medicine & Haematology, School of Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Anja Reuter
- Sentinel Project on Paediatric Drug-Resistant Tuberculosis, Boston, MA, USA
| | - Tahlia Perumal
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute & South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa
- Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, UK
| | - C Robert Horsburgh
- Department of Epidemiology, Boston University Schools of Public Health and Medicine, Boston, MA, USA
| | - Megan Murray
- Department of Epidemiology, Harvard Medical School, Boston, MA, USA
| | - Christoph Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF), TTU-TB, Borstel, Germany
- Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
- Department of Paediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
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7
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Bhatia V, Rijal S, Sharma M, Islam A, Vassall A, Bhargava A, Thida A, Basri C, Onozaki I, Pai M, Rezwan MK, Arinaminpathy N, Chandrashekhar P, Sarin R, Mandal S, Raviglione M. Ending TB in South-East Asia: flagship priority and response transformation. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2023; 18:100301. [PMID: 38028166 PMCID: PMC10667305 DOI: 10.1016/j.lansea.2023.100301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 09/29/2023] [Accepted: 10/05/2023] [Indexed: 12/01/2023]
Abstract
Over the decades, the global tuberculosis (TB) response has evolved from sanatoria-based treatment to DOTS (Directly Observed Therapy Shortcourse) strategy and the more recent End TB Strategy. The WHO South-East Asia Region, which accounted for 45% of new TB patients and 50% of deaths globally in 2021, is pivotal to the global fight against TB. "Accelerate Efforts to End TB" by 2030 was adopted as a South-East Asia Regional Flagship Priority (RFP) in 2017. This article illustrates intensified and transformed approaches to address the disease burden following the adoption of RFP and new challenges that emerged during the COVID-19 pandemic. TB case notifications improved by 25% and treatment success rates improved by 6% between 2016 and 2019 due to interventions ranging from galvanising political commitments to empowering and engaging communities. Cumulative TB programme budget allocations in 2022 reached US$ 1.4 billion, about two and a half times the budget in 2016. An ambitious Regional Strategic Plan towards ending TB, 2021-2025, identifies priority interventions that will need investments of up to US$ 3 billion a year to fully implement them. Moving forward, countries in the Region need to leverage RFP and take up intensified, people-centred, holistic interventions for prevention, diagnosis, treatment and care of TB with commensurate investments and cross-ministerial and multi-sectoral coordination.
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Affiliation(s)
- Vineet Bhatia
- Department of Communicable Diseases, WHO South-East Asia Regional Office, India
| | - Suman Rijal
- Department of Communicable Diseases, WHO South-East Asia Regional Office, India
| | - Mukta Sharma
- Department of Communicable Diseases, WHO Country Office, Indonesia
| | | | | | | | - Aye Thida
- Department of Communicable Diseases, WHO South-East Asia Regional Office, India
| | | | | | - Madhukar Pai
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada
| | - Md Kamar Rezwan
- Department of Communicable Diseases, WHO South-East Asia Regional Office, India
| | | | | | - Rohit Sarin
- Independent Consultant for Tuberculosis, India
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Wagnew F, Alene KA, Kelly M, Gray D. Geospatial Overlap of Undernutrition and Tuberculosis in Ethiopia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:7000. [PMID: 37947558 PMCID: PMC10647613 DOI: 10.3390/ijerph20217000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/26/2023] [Accepted: 10/29/2023] [Indexed: 11/12/2023]
Abstract
Undernutrition is a key driver of the global tuberculosis (TB) epidemic, yet there is limited understanding regarding the spatial overlap of both diseases. This study aimed to determine the geographical co-distribution and socio-climatic factors of undernutrition and TB in Ethiopia. Data on undernutrition were found from the Ethiopian Demographic and Health Survey (EDHS). Data on TB were obtained from the Ethiopia national TB prevalence survey. We applied a geostatistical model using a Bayesian framework to predict the prevalence of undernutrition and TB. Spatial overlap of undernutrition and TB prevalence was detected in the Afar and Somali regions. Population density was associated with the spatial distribution of TB [β: 0.008; 95% CrI: 0.001, 0.014], wasting [β: -0.017; 95% CrI: -0.032, -0.004], underweight [β: -0.02; 95% CrI: -0.031, -0.011], stunting [β: -0.012; 95% CrI: -0.017, -0.006], and adult undernutrition [β: -0.007; 95% CrI: -0.01, -0.005]. Distance to a health facility was associated with the spatial distribution of stunting [β: 0.269; 95% CrI: 0.08, 0.46] and adult undernutrition [β: 0.176; 95% CrI: 0.044, 0.308]. Healthcare access and demographic factors were associated with the spatial distribution of TB and undernutrition. Therefore, geographically targeted service integration may be more effective than nationwide service integration.
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Affiliation(s)
- Fasil Wagnew
- National Centre for Epidemiology and Population Health (NCEPH), College of Health and Medicine, The Australian National University, Canberra 2601, Australia;
- College of Health Sciences, Debre Markos University, Debre Markos P.O. Box 269, Ethiopia
- Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Nedlands 6009, Australia;
| | - Kefyalew Addis Alene
- Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Nedlands 6009, Australia;
- School of Population Health, Faculty of Health Sciences, Curtin University, Bentley 6102, Australia
| | - Matthew Kelly
- National Centre for Epidemiology and Population Health (NCEPH), College of Health and Medicine, The Australian National University, Canberra 2601, Australia;
| | - Darren Gray
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia;
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VanValkenburg A, Kaipilyawar V, Sarkar S, Lakshminarayanan S, Cintron C, Prakash Babu S, Knudsen S, Joseph NM, Horsburgh CR, Sinha P, Ellner JJ, Narasimhan PB, Johnson WE, Hochberg NS, Salgame P. Malnutrition leads to increased inflammation and expression of tuberculosis risk signatures in recently exposed household contacts of pulmonary tuberculosis. Front Immunol 2022; 13:1011166. [PMID: 36248906 PMCID: PMC9554585 DOI: 10.3389/fimmu.2022.1011166] [Citation(s) in RCA: 8] [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: 08/03/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
Background Most individuals exposed to Mycobacterium tuberculosis (Mtb) develop latent tuberculosis infection (LTBI) and remain at risk for progressing to active tuberculosis disease (TB). Malnutrition is an important risk factor driving progression from LTBI to TB. However, the performance of blood-based TB risk signatures in malnourished individuals with LTBI remains unexplored. The aim of this study was to determine if malnourished and control individuals had differences in gene expression, immune pathways and TB risk signatures. Methods We utilized data from 50 tuberculin skin test positive household contacts of persons with TB - 18 malnourished participants (body mass index [BMI] < 18.5 kg/m2) and 32 controls (individuals with BMI ≥ 18.5 kg/m2). Whole blood RNA-sequencing was conducted to identify differentially expressed genes (DEGs). Ingenuity Pathway Analysis was applied to the DEGs to identify top canonical pathways and gene regulators. Gene enrichment methods were then employed to score the performance of published gene signatures associated with progression from LTBI to TB. Results Malnourished individuals had increased activation of inflammatory pathways, including pathways involved in neutrophil activation, T-cell activation and proinflammatory IL-1 and IL-6 cytokine signaling. Consistent with known association of inflammatory pathway activation with progression to TB disease, we found significantly increased expression of the RISK4 (area under the curve [AUC] = 0.734) and PREDICT29 (AUC = 0.736) progression signatures in malnourished individuals. Conclusion Malnourished individuals display a peripheral immune response profile reflective of increased inflammation and a concomitant increased expression of risk signatures predicting progression to TB. With validation in prospective clinical cohorts, TB risk biomarkers have the potential to identify malnourished LTBI for targeted therapy.
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Affiliation(s)
- Arthur VanValkenburg
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States
- Bioinformatics Program, Boston University, Boston, MA, United States
| | - Vaishnavi Kaipilyawar
- Department of Medicine, Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, NJ, United States
| | - Sonali Sarkar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Subitha Lakshminarayanan
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Chelsie Cintron
- Department of Medicine, Boston Medical Center, Boston, MA, United States
| | - Senbagavalli Prakash Babu
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Selby Knudsen
- Department of Medicine, Boston Medical Center, Boston, MA, United States
| | - Noyal Mariya Joseph
- Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - C. Robert Horsburgh
- Section of Infectious Diseases, Boston University School of Medicine, Boston, MA, United States
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Pranay Sinha
- Department of Medicine, Boston Medical Center, Boston, MA, United States
| | - Jerrold J. Ellner
- Department of Medicine, Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, NJ, United States
| | - Prakash Babu Narasimhan
- Department of Clinical Immunology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - W. Evan Johnson
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States
- Bioinformatics Program, Boston University, Boston, MA, United States
| | - Natasha S. Hochberg
- Department of Medicine, Boston Medical Center, Boston, MA, United States
- Section of Infectious Diseases, Boston University School of Medicine, Boston, MA, United States
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Padmini Salgame
- Department of Medicine, Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, NJ, United States
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