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Thomas BE, Thiruvengadam K, Vedhachalam C, A S, Rao VG, Vijayachari P, Rajiv Y, V R, Bansal AK, Indira Krishna AK, Joseph A, J AP, Hussain T, Anand P, Das P, John KR, Devi K. R, P S, S A, Dusthakeer A, J B, K. Chadha V, G. S. T, Raghunath D, Das M, Khan AM, Kaur H. Prevalence of pulmonary tuberculosis among the tribal populations in India. PLoS One 2021; 16:e0251519. [PMID: 34086684 PMCID: PMC8177518 DOI: 10.1371/journal.pone.0251519] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 04/27/2021] [Indexed: 01/10/2023] Open
Abstract
Importance There is no concrete evidence on the burden of TB among the tribal populations across India except for few studies mainly conducted in Central India with a pooled estimation of 703/100,000 with a high degree of heterogeneity. Objective To estimate the prevalence of TB among the tribal populations in India. Design, participants, setting A survey using a multistage cluster sampling design was conducted between April 2015 and March 2020 covering 88 villages (clusters) from districts with over 70% tribal majority populations in 17 States across 6 zones of India. The sample populations included individuals ≥15 years old. Main outcome and measures Eligible participants who were screened through an interview for symptoms suggestive of pulmonary TB (PTB); Two sputum specimens were examined by smear and culture. Prevalence was estimated after multiple imputations for non-coverage and a correction factor of 1.31 was then applied to account for non-inclusion of X-ray screening. Results A total of 74532 (81.0%) of the 92038 eligible individuals were screened; 2675 (3.6%) were found to have TB symptoms or h/o ATT. The overall prevalence of PTB was 432 per 100,000 populations. The PTB prevalence per 100,000 populations was highest 625 [95% CI: 496–754] in the central zone and least 153 [95% CI: 24–281] in the west zone. Among the 17 states that were covered in this study, Odisha recorded the highest prevalence of 803 [95% CI: 504–1101] and Jammu and Kashmir the lowest 127 [95% CI: 0–310] per 100,000 populations. Findings from multiple logistic regression analysis reflected that those aged 35 years and above, with BMI <18.5 Kgs /m2, h/o ATT, smoking, and/or consuming alcohol had a higher risk of bacteriologically positive PTB. Weight loss was relatively more important symptom associated with tuberculosis among this tribal populations followed by night sweats, blood in sputum, and fever. Conclusion and relevance The overall prevalence of PTB among tribal groups is higher than the general populations with a wide variation of prevalence of PTB among the tribal groups at zone and state levels. These findings call for strengthening of the TB control efforts in tribal areas to reduce TB prevalence through tribal community/site-specific intervention programs.
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Affiliation(s)
- Beena E. Thomas
- Department of Social and Behavioral Research, ICMR – National Institute for Research in Tuberculosis, Chennai, India
- * E-mail:
| | - Kannan Thiruvengadam
- Department of Statistics, Epidemiology Unit, ICMR – National Institute for Research in Tuberculosis, Chennai, India
| | - Chandrasekaran Vedhachalam
- Department of Statistics, Epidemiology Unit, ICMR – National Institute for Research in Tuberculosis, Chennai, India
| | - Srividya A
- Department of Biostatistics, ICMR – Vector Control Research Centre, Pondicherry, India
| | - V. G. Rao
- Division of Communicable Diseases, ICMR – National Institute for Research in Tribal Health, Jabalpur, India
| | - Paluru Vijayachari
- ICMR – Regional Medical Research Centre, Port Blair, Andaman and Nicobar Islands
| | - Yadav Rajiv
- Division of Communicable Diseases, ICMR – National Institute for Research in Tribal Health, Jabalpur, India
| | - Raghavi V
- Department of Social and Behavioral Research, ICMR – National Institute for Research in Tuberculosis, Chennai, India
| | - Avi Kumar Bansal
- Department of Epidemiology, ICMR – National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | | | - Alex Joseph
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Anil Purty J
- Department of Community Medicine, Pondicherry Institute of Medical Sciences, Pondicherry, India
| | - Tahziba Hussain
- ICMR – Regional Medical Research Centre, Bhuvaneshwar, India
| | - Praveen Anand
- Department of Epidemiology, ICMR – Desert Medicine Research Centre, Jodhpur, India
| | - Pradeep Das
- Rajendra Memorial Research Institute of Medical Sciences, Patna, India
| | - K. R. John
- Department of Community Medicine, Apollo Institute of Medical Sciences & Research, Chittoor, India
| | - Rekha Devi K.
- ICMR – Regional Medical Research Centre, Dibrugarh, India
| | - Sunish P
- ICMR – Regional Medical Research Centre, Port Blair, Andaman and Nicobar Islands
| | - Azhagendran S
- Department of Social and Behavioral Research, ICMR – National Institute for Research in Tuberculosis, Chennai, India
| | - Azger Dusthakeer
- Department of Bacteriology, ICMR – National Institute for Research in Tuberculosis, Chennai, India
| | - Bhat J
- Division of Communicable Diseases, ICMR – National Institute for Research in Tribal Health, Jabalpur, India
| | - Vineet K. Chadha
- Central Leprosy Teaching and Training Institute, Chengalpet, India
| | - Toteja G. S.
- Department of Epidemiology, ICMR – Desert Medicine Research Centre, Jodhpur, India
| | - Dasarathy Raghunath
- Tribal Task Force, ICMR – Former Dean, Armed Forces Medical College, Pune, India
| | - Madhuchhanda Das
- Division of Communicable Diseases (ECD), Indian Council of Medical Research, New Delhi, India
| | - A. M. Khan
- Division of Communicable Diseases (ECD), Indian Council of Medical Research, New Delhi, India
| | - Hapreet Kaur
- Division of Communicable Diseases (ECD), Indian Council of Medical Research, New Delhi, India
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Ramachandran G, Agibothu Kupparam HK, Vedhachalam C, Thiruvengadam K, Rajagandhi V, Dusthackeer A, Karunaianantham R, Jayapal L, Swaminathan S. Factors Influencing Tuberculosis Treatment Outcome in Adult Patients Treated with Thrice-Weekly Regimens in India. Antimicrob Agents Chemother 2017; 61:e02464-16. [PMID: 28242663 PMCID: PMC5404592 DOI: 10.1128/aac.02464-16] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 02/09/2017] [Indexed: 11/20/2022] Open
Abstract
The Indian Revised National Tuberculosis (TB) Control Programme uses thrice-weekly treatment with standard drug dosages. The role of plasma drug levels and other factors in determining TB treatment outcomes is not well understood. We aimed to determine the factors influencing the concentrations of rifampin (RMP), isoniazid (INH), and pyrazinamide (PZA) at 2 h postdosing in adult TB patients and to study the factors impacting TB treatment outcome. We recruited 1,912 adult TB patients (newly treated and retreated patients) with pulmonary/extrapulmonary TB receiving antitubercular treatment (ATT) in the RNTCP in Chennai, India. At steady state, the concentrations of RMP, INH, and PZA were determined at 2 h postdosing after supervised drug administration. A total of 1,648 patients had a favorable outcome, while 264 (14%) had an unfavorable outcome. A total of 91%, 16%, and 17% of the patients had suboptimal concentrations of RMP (<8 μg/ml), INH (<3 μg/ml), and PZA (<20 μg/ml), respectively. Factors associated with treatment outcome were low RMP concentrations (adjusted odds ratio [aOR], 0.94; 95% confidence interval [CI], 0.89 to 0.99; P = 0.036), category II ATT (aOR, 2.39; 95% CI, 1.56 to 3.65; P < 0.001), low body weight (aOR, 0.96; 95% CI, 0.94 to 0.98; P < 0.001), alcohol use (aOR, 2.17; 95% CI, 1.42 to 3.31; P < 0.001), male gender (aOR, 1.92; 95% CI, 1.02 to 3.62; P = 0.043), and baseline INH resistance (aOR, 5.74; 95% CI, 3.12 to 10.59; P < 0.001), which significantly increased the likelihood of an unfavorable outcome in multivariate logistic regression analysis. Further studies are needed to optimize anti-TB drug dosages and improve cure rates. Drug susceptibility testing at the baseline and attention to undernutrition and alcohol dependence are other important interventions.
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