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August 22, 2025Clinical Infectious Diseases

Characterizing treatment adherence trajectories in the endTB multisite cohort of drug-resistant tuberculosis patients: an application of group-based trajectory modelling

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Authors

SLStephanie LawIFIsabel FulcherSASamreen Ashraf

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Overview

Analysis reveals nuanced adherence patterns in drug-resistant tuberculosis patients, indicating potential for improved outcomes.

Key Points

  • The trajectory model identified four adherence patterns, with consistently high adherence at 72.5%.
  • Patients in the high to low and consistently low groups faced significantly higher risks of unsuccessful treatment outcomes (HR=23.2 and HR=43.2 respectively).
  • We employed a joint latent class mixed model to analyze treatment adherence patterns among 1,787 individuals with RR/MDR-TB.
  • This method offers deeper insight into adherence compared to traditional classification methods, suggesting adherence pattern matters more than overall rates.

Cite This Study

Law et al. (2025) studied this question.

synapsesocial.com/papers/68af73637567bf4f94fed251https://doi.org/10.1093/cid/ciaf467
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Also Consider

Synapse has enriched one closely related paper. Consider it for comparative context:

  1. 1Group-Based Trajectory Modeling in Clinical Research2010 · 2,799 citations