Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya

Autor: Edwin Nyakan, E. Jane Carter, Matteo Zignol, Ted Cohen, Wilfred E. Injera, Bethany Hedt-Gauthier, Julia Jezmir, Lydia Kamle, Adrian Gardner
Rok vydání: 2015
Předmět:
Male
Rural Population
Bacterial Diseases
Urban Population
Physiology
Extensively Drug-Resistant Tuberculosis
Antitubercular Agents
lcsh:Medicine
Drug resistance
Pharmacology
Geographical Locations
0302 clinical medicine
Drug Resistance
Multiple
Bacterial
Zoonoses
Tuberculosis
Multidrug-Resistant
Prevalence
Medicine and Health Sciences
030212 general & internal medicine
Bovine Tuberculosis
lcsh:Science
Drug Distribution
Multidisciplinary
Pharmaceutics
Multi-drug-resistant tuberculosis
Multi-Drug-Resistant Tuberculosis
Resource constraints
Middle Aged
3. Good health
Body Fluids
Infectious Diseases
Female
Lot quality assurance sampling
Rifampin
Anatomy
Research Article
Adult
Tuberculosis
Adolescent
030231 tropical medicine
03 medical and health sciences
Antibiotic resistance
Drug Therapy
Environmental health
medicine
Isoniazid
Humans
Lot Quality Assurance Sampling
Pharmacokinetics
Tuberculosis
Pulmonary
business.industry
Drug resistant tuberculosis
lcsh:R
Sputum
Extensively drug-resistant tuberculosis
Biology and Life Sciences
Mycobacterium tuberculosis
medicine.disease
Tropical Diseases
Kenya
Mucus
People and Places
Africa
lcsh:Q
business
Zdroj: PLoS ONE
PLoS ONE, Vol 11, Iss 5, p e0154142 (2016)
ISSN: 1932-6203
Popis: Objective To classify the prevalence of multi-drug resistant tuberculosis (MDR-TB) in two different geographic settings in western Kenya using the Lot Quality Assurance Sampling (LQAS) methodology. Design The prevalence of drug resistance was classified among treatment-naive smear positive TB patients in two settings, one rural and one urban. These regions were classified as having high or low prevalence of MDR-TB according to a static, two-way LQAS sampling plan selected to classify high resistance regions at greater than 5% resistance and low resistance regions at less than 1% resistance. Results This study classified both the urban and rural settings as having low levels of TB drug resistance. Out of the 105 patients screened in each setting, two patients were diagnosed with MDR-TB in the urban setting and one patient was diagnosed with MDR-TB in the rural setting. An additional 27 patients were diagnosed with a variety of mono- and poly- resistant strains. Conclusion Further drug resistance surveillance using LQAS may help identify the levels and geographical distribution of drug resistance in Kenya and may have applications in other countries in the African Region facing similar resource constraints.
Databáze: OpenAIRE
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