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dc.contributor.authorSvensson, Robin J
dc.contributor.authorSabiiti, Wilber
dc.contributor.authorKibiki, Gibson S
dc.contributor.authorNtinginya, Nyanda E
dc.contributor.authorBhatt, Nilesh
dc.contributor.authorDavies, Geraint
dc.contributor.authorGillespie, Stephen H
dc.contributor.authorSimonsson, Ulrika S H
dc.date.accessioned2020-01-29T12:30:13Z
dc.date.available2020-01-29T12:30:13Z
dc.date.issued2019-10
dc.identifier260441860
dc.identifier1491e7cb-d5f0-4577-8220-365a1687fb62
dc.identifier31358585
dc.identifier85072609617
dc.identifier000487320100053
dc.identifier.citationSvensson , R J , Sabiiti , W , Kibiki , G S , Ntinginya , N E , Bhatt , N , Davies , G , Gillespie , S H & Simonsson , U S H 2019 , ' Model-based relationship between the molecular bacterial load assay and time-to-positivity in liquid culture ' , Antimicrobial Agents and Chemotherapy , vol. 63 , no. 10 , e00652-19 . https://doi.org/10.1128/AAC.00652-19en
dc.identifier.issn0066-4804
dc.identifier.otherORCID: /0000-0001-6537-7712/work/60427409
dc.identifier.otherORCID: /0000-0002-4742-2791/work/60427618
dc.identifier.urihttps://hdl.handle.net/10023/19374
dc.description.abstractThe molecular bacterial load (MBL) assay is a new tuberculosis biomarker which provides results in ∼4 hours. The relationship between MBL and time-to-positivity (TTP) has not been thoroughly studied and predictive models do not exist. We aimed to develop a model for MBL and identify the MBL-TTP relationship in patients. The model was developed on data from 105 tuberculosis patients from Malawi, Mozambique and Tanzania with joint MBL and TTP observations quantified from patient sputum collected for 12 weeks. MBL was quantified using polymerase chain reaction (PCR) of mycobacterial RNA and TTP using the Mycobacterial Growth Indicator Tube (MGIT) 960 system. Treatment consisted of isoniazid, pyrazinamide and ethambutol in standard doses together with rifampicin 10 or 35 mg/kg. The developed MBL-TTP model included several linked sub-models; a component describing decline of bacterial load in sputum, another component describing growth in liquid culture and a hazard model translating bacterial growth into a TTP signal. Additional components for contaminated and negative TTP samples were included. Visual predictive checks performed using the developed model gave good description of the observed data. The model predicted greater total sample loss for TTP than MBL due to contamination and negative samples. The model detected an increase in bacterial killing for 35 versus 10 mg/kg rifampicin (p=0.002). In conclusion, a combined model for MBL and TTP was developed that described the MBL-TTP relationship. The full MBL-TTP model or each sub-model used separately. Secondly, the model can be used to predict biomarker response for MBL given TTP data or vice versa in historical or future trials.
dc.format.extent15
dc.format.extent1858484
dc.language.isoeng
dc.relation.ispartofAntimicrobial Agents and Chemotherapyen
dc.subjectTuberculosisen
dc.subjectDiagnosticsen
dc.subjectTreatment monitoringen
dc.subjectClinical trialsen
dc.subjectQR180 Immunologyen
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectNDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQR180en
dc.subject.lccRMen
dc.titleModel-based relationship between the molecular bacterial load assay and time-to-positivity in liquid cultureen
dc.typeJournal articleen
dc.contributor.sponsorScottish Funding Councilen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Centre for Biophotonicsen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews. Global Health Implementation Groupen
dc.contributor.institutionUniversity of St Andrews. Gillespie Groupen
dc.contributor.institutionUniversity of St Andrews. Infection Groupen
dc.identifier.doi10.1128/AAC.00652-19
dc.description.statusPeer revieweden
dc.date.embargoedUntil2020-01-29
dc.identifier.grantnumberSFC/AN/10/2018en


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