Thyroid-stimulating Hormone (TSH) Trajectories During Levothyroxine Treatment in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) Cohort
Authors' conclusion
GMM/LCGA represents a viable approach to define and examine LT4 treatment by TSH trajectory. More comprehensive datasets should allow for more complex trajectory modeling and analysis of clinical outcome differences between trajectory classes.
Study context
- Population
- Levothyroxine (LT4)-treated participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)LT4-treated
- Participants
- 621 participants
- Exposure
- TSH trajectory classes during LT4 treatment
- Outcome
- TSH trajectory classes and within-class changes in CV health markers
Methodological detailsproof of principle, growth mixture modeling, latent class growth analysis, repeated measure analyses
- Proof of principle
- Growth mixture modeling
- Latent class growth analysis
- Repeated measure analyses
Main finding
As reported in the abstract
- Best-fit growth mixture modeling (GMM) identified TSH trajectory classes
- 4
- Average baseline LT4 dose lowest in high-high normal TSH class
- 77.7 µg, P < .001
- Low to normal class: total cholesterol increased significantly
- P = .049
- Low to normal class: HDL-C increased significantly
- P < .001
- Low to normal class: TG increased significantly
- P < .001
- Low to normal class: HbA1c increased significantly
- P = .001
Observational data: associations, not effects.
Original publication
TSH Trajectories During Levothyroxine Treatment in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) Cohort. J Clin Endocrinol Metab. Published 23 May 2024. doi:10.
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