A model of tuberculosis screening for pregnant women in resource-limited settings using Xpert MTB/RIF
Turnbull, Eleanor R., Kancheya, Nzali G., Harris, Jennifer B., Topp, Stephanie M., Henostroza, German, and Reid, Stewart E. (2012) A model of tuberculosis screening for pregnant women in resource-limited settings using Xpert MTB/RIF. Journal of Pregnancy, 2012. 565049. pp. 1-5.
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Abstract
Timely diagnosis and treatment of maternal tuberculosis (TB) is important to reduce morbidity and mortality for both the mother and child, particularly in women who are coinfected with HIV. TheWorld Health Organization (WHO) recommends the integration of TB/HIV screening into antenatal services but available diagnostic tools are slow and insensitive, resulting in delays in treatment initiation. Recently the WHO endorsed Xpert MTB/RIF, a highly sensitive, real-time PCR assay for Mycobacterium tuberculosis that simultaneously detects rifampicin resistance directly from sputum and provides results within 100 minutes. We propose a model for same-day TB screening and diagnosis of all pregnant women at antenatal care using Xpert MTB/RIF. Pilot studies are urgently required to evaluate strategies for the integration of TB screening into antenatal clinics using new diagnostic technologies.
| Item ID: | 39579 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2090-2735 |
| Additional Information: | © 2012 Eleanor R. Turnbull et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Funders: | Zambian Ministry of Health |
| Date Deposited: | 29 Jul 2015 01:40 |
| FoR Codes: | 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified @ 70% 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 30% |
| SEO Codes: | 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920499 Public Health (excl. Specific Population Health) not elsewhere classified @ 50% 92 HEALTH > 9202 Health and Support Services > 920299 Health and Support Services not elsewhere classified @ 50% |
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