Diagnostic Performance of Abbott Real Time for the Detection of Smear Negative Pulmonary Tuberculosis Study, 2017
| Id | EPHI-DS0095 |
|---|---|
| Name | Diagnostic Performance of Abbott Real Time for the Detection of Smear Negative Pulmonary Tuberculosis Study, 2017 |
| Format | .xlsx |
| Coverage Location | Sub-National (Addis Ababa) |
| Coverage Sex | Both |
| Abstract | A cross-sectional survey was conducted to assess the performance characteristics of Abbott real-time for the diagnosis of smear-negative MTB in Addis Ababa from March to May 2017. Specimens and demographic information were collected from 127 study participants. Performance characteristics including sensitivity, specificity, and predictive values were calculated by using SPSS version 23 with 95% CI. The study results showed that: 1) Diagnostic sensitivity of Abbott real-time for the diagnosis of smear-negative was 82.9% and specificity exhibited 89.1%. The sensitivity almost aligns with the result of the study done during method development (81%) and the specificity was lower performances as compared with previous similar method evaluations 95.8%. 2) Drug susceptibility testing demonstrated diagnostic specificity of 87.5% and 100% for INH and RIF respectively. 3) Abbott real-time performance significantly and negatively associated with the month of treatment [Adjusted OR (95%CI) = 0.01 (0.00. 0.41)] for 1st to 6th month, 0.005 (0.00, 0.20) for 7th to 12th months and 0.001 (0.00, 0.90) for the clients on treatment for more than a year. 4) The finding of the study reveals that: The diagnostic sensitivity of the method for identification of MTB and drug resistance- sensitivity and specificity similar with the previous similar studies. The method exhibited lower specificity for the diagnosis of smear-negative MTB cases. The finding also revealed the specificity of Abbott real-time the lowest as of other molecular methods for the diagnosis of smear-negative MTB cases who are on MTB treatment. 5) Therefore, the researchers strongly recommend not to use the method for all follow-up MTB cases except zero months and further investigation should be continued to explain exhaustively the effect of explanatory variables on Abbott MTB performance. |
| Additional Material | No |
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| Recommended | Yes |
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| Cleaned | Yes |
| Cleaned Format | . csdb |
| RawFormat | . csdb |
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| Date Data Collection Started | 2017-03-01 |
| Date Data Collection End | 2017-05-25 |
| Title | Diagnostic Performance of Abbott Real Time for the Detection of Smear Negative Pulmonary Tuberculosis at Ethiopian Public Health Institute, Addis Ababa Ethiopia, 2017 |
| Data Type | Survey |
| PublicationYear | 2018 |
| SugestedCitation | There is no recommended citation mentioned by the data producer or creator |
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| Description | The MTB dataset is produced by a cross-sectional survey conducted in Addis Ababa from March to May 2017. The specimen data was collected from 127 selected smear-negative clients suspected of MTB and sent to the national laboratory during the study period for TB culture. The dataset captures information on Abbott MTB Performance (both detection and Drug Susceptibility Test), demographic factors such as region, age, and sex, and Clinical related factors including HIV status, TB classification, previous treatment, diagnosis/ follow-up, and follow-up month of the dependent variables. Thus, the dataset is used to perform statistical analysis on Abbott performance characteristics with clinical and specimen-related factors. |
| Dataset study design | Longitudinal |
| Date Data Archived | 2019-09-30 |
| Date Data Cataloged | 2020-05-19 |
| Data Generating Unit | HIV and TB Research Directorate |
| URL | https://rtds.ephi.gov.et/public/showdetail/95 |
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Open Access