History-restricted marginal structural model and latent class growth analysis of treatment trajectories for a time-dependent outcome
2024

Analyzing Statin Treatment Patterns and Their Impact on Cardiovascular Disease Risk

Sample size: 57211 publication 10 minutes Evidence: moderate

Author Information

Author(s): Awa Diop, Caroline Sirois, Jason R. Guertin, Mireille E. Schnitzer, James M. Brophy, Claudia Blais, Denis Talbot

Primary Institution: Université Laval, Centre de recherche du CHU de Québec

Hypothesis

Can a new statistical model effectively analyze the impact of statin adherence on cardiovascular disease risk among older adults?

Conclusion

The study found that greater adherence to statins was associated with a lower risk of cardiovascular disease or all-cause mortality among older Quebecers.

Supporting Evidence

  • Greater adherence to statins was linked to lower cardiovascular disease risk.
  • The study utilized a large cohort of 57,211 statin initiators.
  • Simulation studies confirmed the robustness of the proposed statistical model.
  • Findings suggest that improving statin adherence could enhance public health outcomes.

Takeaway

This study shows that taking statins regularly can help older people stay healthier and avoid heart problems.

Methodology

The study used a history-restricted marginal structural model combined with latent class growth analysis to evaluate treatment trajectories and their effects on health outcomes.

Potential Biases

Potential bias may arise from the assumption that missing data in treatment trajectories is missing at random.

Limitations

The model may not be suitable for complex applications where outcomes are time-dependent, and the choice of hyperparameters can affect results.

Participant Demographics

Participants were older Quebecers aged over 65 years who initiated statin treatment.

Statistical Information

P-Value

p<0.05

Confidence Interval

[0.53, 1.10]

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1515/ijb-2023-0116

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