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October 18, 2025Revista de Investigación e Innovación en Ciencias de la SaludOpen Access

Data-driven Subclassification of Treated Hypertensive Adults: Implications for Personalized Management

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Authors

EMEfrén Murillo‐Zamora

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Overview

Analysis identifies hypertension phenotypes in Mexican adults, suggesting targeted interventions may improve outcomes.

Key Points

  • GMM clustering revealed 8 distinct phenotypes, highlighting marked differences in hypertension control among clusters.
  • The largest cluster consisted of older women with well-controlled blood pressure, showing the impact of demographics and socioeconomic status.
  • PCA analysis identified physical activity and dietary modifications as significant factors affecting blood pressure management.
  • Targeted interventions for younger patients and those with low adherence may enhance hypertension management strategies.

Cite This Study

Efrén Murillo‐Zamora (2025) studied this question.

synapsesocial.com/papers/68f396388da44caaba02c8c1https://doi.org/10.46634/riics.477
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification of Hypertension Phenotypes by Sex: A Real-World Study of 7,852 Treated Patients2025
  2. 2Evolving patterns of prevalence and management of hypertension phenotypes in Mexico: A two-decade analysis of nationally representative surveys2025
  3. 3Predictors of Uncontrolled Hypertension in Ambulatory Patients2001 · 214 citations
  4. 4Hypertension Phenotypes and Mortality Risk in the United States of America: A Data‐Driven Cluster Analysis2025 · 1 citations
  5. 5Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients2025 · 2 citations