期刊
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
卷 21, 期 9, 页码 1020-1025出版社
INT UNION AGAINST TUBERCULOSIS LUNG DISEASE (I U A T L D)
DOI: 10.5588/ijtld.16.0794
关键词
TB; nosocomial transmission; FAST; implementation
资金
- American people through the United States Agency for International Development (USAID) through the TB CARE II project [AID-OAA-A-10-00021]
- Harvard Center for AIDS Research, Cambridge, MA, USA (National Institute of Allergy and Infectious Diseases) [2P30A1060354-11]
- Imperial College Institutional Strategic Support Fund (London, UK) Global Health Fellowship
SETTING: National Institute of Diseases of the Chest and Hospital, Dhaka; Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders, Dhaka; and Chittagong Chest Disease Hospital, Chittagong, Bangladesh. OBJECTIVE: To present operational data and discuss the challenges of implementing FAST (Find cases Actively, Separate safely and Treat effectively) as a tuberculosis (TB) transmission control strategy. DESIGN: FAST was implemented sequentially at three hospitals. RESULTS: Using Xpert MTB/RIF, 733/6028 (12.2%, 95 %CI 11.4-13.0) patients were diagnosed with unsuspected TB. Patients with a history of TB who were admitted with other lung diseases had more than twice the odds of being diagnosed with unsuspected TB as those with no history of TB (OR 2.6, 95%CI 2.2-3.0, P < 0.001). Unsuspected multidrug-resistant TB (MDR TB) was diagnosed in 89/1415 patients (6.3%, 95%CI 5.1-7.7). Patients with unsuspected TB had nearly five times the odds of being diagnosed with MDR-TB than those admitted with a known TB diagnosis (OR 4.9, 95 %CI 3.1-7.6, P < 0.001). Implementation challenges include staff shortages, diagnostic failure, supply-chain issues and reliance on external funding. CONCLUSION: FAST implementation revealed a high frequency of unsuspected TB in hospitalized patients in Bangladesh. Patients with a previous history of TB have an increased risk of being diagnosed with unsuspected TB. Ensuring financial resources, stakeholder engagement and laboratory capacity are important for sustain ability and scalability.
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