M. Burman, D. Zenner, A. Copas, L. Goscé, H. Haghparast-Bidgoli, P. White, V. Hickson, O. Greyson, D. Trathen, R. Ashcroft, A. Martineau, I. Abubakar, C. Griffiths, H. Kunst
{"title":"S39 Is the treatment of latent tuberculosis infection amongst recent migrants safe and effective in primary care?","authors":"M. Burman, D. Zenner, A. Copas, L. Goscé, H. Haghparast-Bidgoli, P. White, V. Hickson, O. Greyson, D. Trathen, R. Ashcroft, A. Martineau, I. Abubakar, C. Griffiths, H. Kunst","doi":"10.1136/thorax-2021-btsabstracts.45","DOIUrl":null,"url":null,"abstract":"TNF-a, IL2 and CCL7 had very low raw biomarker concentrations. In Phase II, based on above results, we analysed IFN-g, CXCL10 and CCL2 in a further 60 patients (table 1). CXCL10 achieved the highest increase in TP results for ATB diagnosis, with 43 TP compared with 26 TP results for QFTGIT. MSD-measured IFN-g detected 41 TP results, while CCL2 only detected 26 TP. All three biomarkers demonstrated >35% loss of specificity compared to QFT-GIT. The QFTGIT sensitivity and specificity values in our study population were 45.6% and 80% respectively. A ‘triple-test’ combining IFN-g, CXCL10 and CCL2 results achieved sensitivity 83.3% and specificity 12.1%. Conclusion Our study provides a unique and novel gating method for efficiently assessing the diagnostic performance of candidate biomarkers for ATB diagnosis. Our study population was purposely engineered to compare candidate biomarkers to QFT-GIT in a clinically-relevant manner and we hope our study design will aid future, targeted efforts for high-quality biomarker follow-up studies.","PeriodicalId":286308,"journal":{"name":"Beyond acid-fast: diagnosis and treatment of TB in the 21st Century","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Beyond acid-fast: diagnosis and treatment of TB in the 21st Century","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/thorax-2021-btsabstracts.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
TNF-a, IL2 and CCL7 had very low raw biomarker concentrations. In Phase II, based on above results, we analysed IFN-g, CXCL10 and CCL2 in a further 60 patients (table 1). CXCL10 achieved the highest increase in TP results for ATB diagnosis, with 43 TP compared with 26 TP results for QFTGIT. MSD-measured IFN-g detected 41 TP results, while CCL2 only detected 26 TP. All three biomarkers demonstrated >35% loss of specificity compared to QFT-GIT. The QFTGIT sensitivity and specificity values in our study population were 45.6% and 80% respectively. A ‘triple-test’ combining IFN-g, CXCL10 and CCL2 results achieved sensitivity 83.3% and specificity 12.1%. Conclusion Our study provides a unique and novel gating method for efficiently assessing the diagnostic performance of candidate biomarkers for ATB diagnosis. Our study population was purposely engineered to compare candidate biomarkers to QFT-GIT in a clinically-relevant manner and we hope our study design will aid future, targeted efforts for high-quality biomarker follow-up studies.