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Model-Based Relationship between the Molecular Bacterial Load Assay and Time to Positivity in Liquid Culture

Svensson, Robin J. (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Farmakometri
Sabiiti, Wilber (författare)
Univ St Andrews, Sch Med, St Andrews, Fife, Scotland
Kibiki, Gibson S. (författare)
East African Hlth Res Commiss, Arusha, Tanzania
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Ntinginya, Nyanda E. (författare)
NIMR Mbeya Med Res Ctr, Mbeya, Tanzania
Bhatt, Nilesh (författare)
Minist Saude, INS, Maputo, Mozambique
Davies, Geraint (författare)
Univ Liverpool, Dept Mol & Clin Pharmacol, Liverpool, Merseyside, England
Gillespie, Stephen H. (författare)
Univ St Andrews, Sch Med, St Andrews, Fife, Scotland
Simonsson, Ulrika S H, Professor (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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 (creator_code:org_t)
2019
2019
Engelska.
Ingår i: Antimicrobial Agents and Chemotherapy. - 0066-4804 .- 1098-6596. ; 63:10
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • The 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 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 rifampin 10 or 35 mg/kg of body weight. The developed MBL-TTP model included several linked submodels, 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 rifampin (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 submodel was used separately. Second, the model can be used to predict biomarker response for MBL given TTP data or vice versa in historical or future trials.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)

Nyckelord

Pharmacometrics
Pharmacodynamics
Modelling
Biomarker
Tuberculosis
Farmaceutisk vetenskap
Pharmaceutical Science

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