Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Increased and expedited case detection by Xpert MTB/RIF assay in childhood tuberculosis: A prospective cohort study
Clinical Infectious Diseases, Volume 54, No. 10, Year 2012
Notification
URL copied to clipboard!
Description
Background. Diagnosis and timely treatment of tuberculosis in children is hampered by the absence of fast and reliable tests, especially in the era of human immunodeficiency virus (HIV). The aim of this study was to evaluate the diagnostic performance of the Xpert MTB/RIF assay (Xpert) in children with suspected tuberculosis in a high tuberculosis/HIV-burden setting. Methods. In a prospective study with a minimum follow-up of 12 months, 164 children with suspected tuberculosis were assigned to predefined diagnostic subgroups, based on microbiological and clinical findings. Results of smear microscopy and culture were compared against diagnostic performance of Xpert. Results. Twenty-eight of 164 children (17.1%) had confirmed tuberculosis. Xpert detected 100% (95% confidence interval [CI], 59.0%-100%) of smear-positive cases and 66.6% (95% CI, 43.0%-85.4%) of culturepositive but smear-negative cases. In the per-sample analysis, Xpert displayed a similar sensitivity (54.7% [95% CI, 42.7%-66.2%]) compared with culture methods. Xpert detected 3-fold more confirmed tuberculosis cases than smear microscopy but with equal rapidity. Four additional cases (8.5%) with clinical tuberculosis but negative culture were diagnosed by Xpert. Testing second and third samples increased sensitivity by 20% and an additional 16%, respectively. When tuberculosis was reliably excluded, Xpert's specificity was 100%. HIV infection did not affect diagnostic accuracy of Xpert. Conclusions. Xpert was easy to perform and displayed similar diagnostic accuracy as culture methods in children with suspected tuberculosis. Rapid turnaround times should reduce treatment delay and improve patient outcome, although sensitivity remains suboptimal and access is dependent on local laboratory infrastructure. © The Author 2012.
Authors & Co-Authors
Rachow, Andrea
Germany, Munich
Klinikum Der Universität München
Tanzania
National Center for Infectious Diseases of Germany
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Clowes, Petra
Germany, Munich
Klinikum Der Universität München
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Saathoff, Elmar
Germany, Munich
Klinikum Der Universität München
Mtafya, Bariki A.
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Michael, Epiphania
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Ntinginya, Elias N.
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Kowour, Dickens
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Rojas-Ponce, Gabriel
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Kroidl, Arne L.
Germany, Munich
Klinikum Der Universität München
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Maboko, Leonard L.
Tanzania
National Institute of Medical Research-mbeya Medical Research Programme
Heinrich, Norbert
Germany, Munich
Klinikum Der Universität München
Reither, Klaus
Germany, Munich
Klinikum Der Universität München
Switzerland, Allschwil
Swiss Tropical and Public Health Institute Swiss Tph
Switzerland, Basel
Universitat Basel
Höelscher, Michael
Germany, Munich
Klinikum Der Universität München
Statistics
Citations: 146
Authors: 13
Affiliations: 5
Identifiers
Doi:
10.1093/cid/cis190
ISSN:
10584838
e-ISSN:
15376591
Research Areas
Health System And Policy
Infectious Diseases
Maternal And Child Health
Study Design
Cohort Study
Study Approach
Quantitative