Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB

BACKGROUND: Accurate diagnosis of bedaquiline (BDQ) resistance remains challenging. A Bayesian approach expresses this uncertainty as a probability of BDQ resistance (prBDQR) with a 95% credible interval. We investigated how prBDQ R information influences BDQ prescribing decisions. METHOD: We perfor...

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Main Authors: T.P.H. Trang, R. Kessels, T. Decroo, A. Van Rie
Format: Article
Language:English
Published: International Union Against Tuberculosis and Lung Disease (The Union) 2024-09-01
Series:IJTLD Open
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Online Access:https://www.ingentaconnect.com/contentone/iuatld/ijtldo/2024/00000001/00000009/art00002
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author T.P.H. Trang
R. Kessels
T. Decroo
A. Van Rie
author_facet T.P.H. Trang
R. Kessels
T. Decroo
A. Van Rie
author_sort T.P.H. Trang
collection DOAJ
description BACKGROUND: Accurate diagnosis of bedaquiline (BDQ) resistance remains challenging. A Bayesian approach expresses this uncertainty as a probability of BDQ resistance (prBDQR) with a 95% credible interval. We investigated how prBDQ R information influences BDQ prescribing decisions. METHOD: We performed a discrete choice experiment with 55 international rifampicin-resistant tuberculosis physicians. We employed mixed-effects multinomial logistic regression to quantify the effect of prBDQR, patient attributes, and contextual factors on the decision to continue BDQ or not when sequencing results become available. RESULTS: PrBDQ R was the most influential factor for BDQ decision-making, three times greater than treatment response. Each percentage point increase in prBDQ R resulted in 8.2% lower odds (OR 0.92, 95% CI 0.90–0.93) of continuing BDQ as a fully effective drug and 5.0% lower odds (OR 0.95, 95% CI 0.94–0.96) of continuing it but not counting it as an effective drug. The most favourable patient profile for prescribing BDQ as a fully effective drug was a patient receiving the BPaLM regimen (BDQ, pretomanid, linezolid and moxifloxacin) with low prBDQ R , good 1-month treatment response, fluoroquinolone-susceptible TB, and no prior BDQ treatment. Physicians with higher discomfort with uncertainty and more years of experience with BDQ were more inclined to stop BDQ. CONCLUSION: Given the uncertainty of genotype-phenotype associations, physicians valued prBDQ R for BDQ decision-making in rifampicin-resistant TB treatment.
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spelling doaj-art-462febafbb1c426ab4f22a304fbd66342025-01-22T12:16:08ZengInternational Union Against Tuberculosis and Lung Disease (The Union)IJTLD Open3005-75902024-09-011938439010.5588/ijtldopen.24.03622Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TBT.P.H. Trang0R. Kessels1T. Decroo2A. Van Rie3Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium;Department of Data Analytics and Digitalization, Maastricht University, Maastricht, The Netherlands;Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium;BACKGROUND: Accurate diagnosis of bedaquiline (BDQ) resistance remains challenging. A Bayesian approach expresses this uncertainty as a probability of BDQ resistance (prBDQR) with a 95% credible interval. We investigated how prBDQ R information influences BDQ prescribing decisions. METHOD: We performed a discrete choice experiment with 55 international rifampicin-resistant tuberculosis physicians. We employed mixed-effects multinomial logistic regression to quantify the effect of prBDQR, patient attributes, and contextual factors on the decision to continue BDQ or not when sequencing results become available. RESULTS: PrBDQ R was the most influential factor for BDQ decision-making, three times greater than treatment response. Each percentage point increase in prBDQ R resulted in 8.2% lower odds (OR 0.92, 95% CI 0.90–0.93) of continuing BDQ as a fully effective drug and 5.0% lower odds (OR 0.95, 95% CI 0.94–0.96) of continuing it but not counting it as an effective drug. The most favourable patient profile for prescribing BDQ as a fully effective drug was a patient receiving the BPaLM regimen (BDQ, pretomanid, linezolid and moxifloxacin) with low prBDQ R , good 1-month treatment response, fluoroquinolone-susceptible TB, and no prior BDQ treatment. Physicians with higher discomfort with uncertainty and more years of experience with BDQ were more inclined to stop BDQ. CONCLUSION: Given the uncertainty of genotype-phenotype associations, physicians valued prBDQ R for BDQ decision-making in rifampicin-resistant TB treatment.https://www.ingentaconnect.com/contentone/iuatld/ijtldo/2024/00000001/00000009/art00002discrete choice experimentclinical decision-makingtreatment uncertainty
spellingShingle T.P.H. Trang
R. Kessels
T. Decroo
A. Van Rie
Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB
IJTLD Open
discrete choice experiment
clinical decision-making
treatment uncertainty
title Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB
title_full Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB
title_fullStr Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB
title_full_unstemmed Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB
title_short Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB
title_sort impact of bedaquiline resistance probability on treatment decision for rifampicin resistant tb
topic discrete choice experiment
clinical decision-making
treatment uncertainty
url https://www.ingentaconnect.com/contentone/iuatld/ijtldo/2024/00000001/00000009/art00002
work_keys_str_mv AT tphtrang impactofbedaquilineresistanceprobabilityontreatmentdecisionforrifampicinresistanttb
AT rkessels impactofbedaquilineresistanceprobabilityontreatmentdecisionforrifampicinresistanttb
AT tdecroo impactofbedaquilineresistanceprobabilityontreatmentdecisionforrifampicinresistanttb
AT avanrie impactofbedaquilineresistanceprobabilityontreatmentdecisionforrifampicinresistanttb