Title |
Rifampin resistance and diabetes mellitus in a cross-sectional study of adult patients in rural South India
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Published in |
BMC Infectious Diseases, October 2015
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DOI | 10.1186/s12879-015-1204-5 |
Pubmed ID | |
Authors |
Saurabh Mehta, Elaine Ann Yu, Syed Fazil Ahamed, Wesley Bonam, John Kenneth |
Abstract |
Despite increasing reports of the linkage between diabetes and tuberculosis (TB), there is limited information regarding diabetes and TB drug resistance. In this cross-sectional study, sputum and blood samples were collected from 304 adult patients in rural Andhra Pradesh. Rifampin resistance was assessed by Xpert MTB/RIF (Xpert), and diabetes status was based on self-report. Additionally, samples were assayed by acid-fast bacilli sputum smear microscopy (AFB) and QuantiFERON-TB Gold In-Tube (QFT-G), in order to compare relative diagnostic performances. Among patients with confirmed TB (n = 194), diabetes was associated with 3.0-fold higher risk of rifampin resistance (95 % CI 1.3-6.7). Considering Xpert MTB/RIF the gold standard, AFB had lower sensitivity (72.2 vs. 82.5 %) and higher specificity (96.4 vs. 37.0 %) compared to QFT-G for diagnosing TB. The increased risk of rifampin resistance in patients with diabetes highlights the need for integrated diabetes surveillance in TB programs, particularly in settings undergoing the epidemiological transition. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 1% |
Unknown | 92 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 17% |
Student > Bachelor | 10 | 11% |
Researcher | 9 | 10% |
Student > Ph. D. Student | 8 | 9% |
Student > Postgraduate | 7 | 8% |
Other | 20 | 22% |
Unknown | 23 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 32 | 34% |
Nursing and Health Professions | 11 | 12% |
Immunology and Microbiology | 5 | 5% |
Unspecified | 4 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Other | 9 | 10% |
Unknown | 30 | 32% |