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Towards Precision in HF Pharmacotherapy
Nicholas B Norgard1, Carolyn Hempel2
1University of Missouri Kansas City School of Medicine, 2411 Holmes St, Kansas City, MO, 64108, USA. norgardn@umkc.edu.
Current Heart Failure Reports
|February 13, 2017
Summary
Precision medicine offers a future for heart failure (HF) treatment by identifying distinct patient phenotypes. This approach enables targeted therapies, improving outcomes and reducing adverse drug reactions for better heart failure management.
Area of Science:
- Cardiology
- Genomics
- Computational Biology
Background:
- Heart failure (HF) presents significant heterogeneity, complicating treatment strategies.
- Current approaches often treat HF as a uniform condition, overlooking diverse pathophysiologies.
- Developing targeted therapies requires precise identification of HF subtypes.
Purpose of the Study:
- To explore the future of precision medicine in heart failure (HF) treatment.
- To highlight the need for identifying distinct HF phenotypes for personalized therapy.
- To review methods for phenotyping HF patients.
Main Methods:
- Utilizing phenomapping with machine learning algorithms on clinical datasets.
- Analyzing genetic, epigenetic, proteomic, and metabolomic data for comprehensive profiling.
- Identifying patient subgroups with differential treatment responses.
Main Results:
- Phenomapping successfully identified distinct, clinically meaningful HF groups.
- Future analyses promise more comprehensive phenotypic profiles.
- Identifying responsive patient profiles can guide optimal therapy selection.
Conclusions:
- Precision medicine, driven by advanced phenotyping, is crucial for advancing HF treatment.
- Tailoring therapies to specific HF phenotypes will improve patient outcomes.
- This approach minimizes trial-and-error prescribing and reduces adverse drug reactions.
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