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Prognostic model of the adaptive changes from hypertensive cardiopathy: from mild diastolic dysfunction to depressed

Alexis Álvarez-Aliaga1, Adonis Frómeta-Guerra2, Alexis Suárez-Quesada3

  • 1Hospital General Universitario Carlos Manuel de Céspedes, Bayamo, Granma, Cuba. Universidad de Ciencias Médicas de Granma, Bayamo, Cuba. Email: alexis.grm@infomed.sld.cu. ORCID: 0000-0002-4706-3821.

Medwave
|May 30, 2020
PubMed

Insights

A new model predicts hypertensive cardiopathy progression over ten years. Poor blood pressure control and hypertension stage 2 are key risk factors for developing cardiac changes.

Area of Science:

  • Cardiology
  • Hypertension Research
  • Predictive Modeling in Medicine

Background:

  • Hypertensive cardiopathy involves heart changes due to chronic high blood pressure.
  • It is a significant component of cardiovascular diseases linked to hypertension.

Purpose of the Study:

  • To develop and validate a predictive model for adaptive changes in hypertensive cardiopathy.
  • The model aims to forecast these changes within a decade of diagnosis.

Main Methods:

  • A prospective cohort study of hypertensive patients in Cuba (2008-2018).
  • Utilized Cox proportional regression to identify prognostic factors.
  • Internal validation included discriminant capacity (C-statistic) and calibration (Hosmer-Lemeshow).

Main Results:

  • The model identified significant prognostic factors for adaptive changes.
  • Lack of blood pressure control (HR: 2.090) and hypertension stage 2 (HR: 1.987) were primary predictors.
  • Model validation showed acceptable discriminant capacity (C-statistic: 0.897).

Conclusions:

  • A validated model can predict hypertensive cardiopathy progression (Grade I to IV).
  • Key predictors include arterial hypertension effects, diabetes mellitus, and chronic kidney disease.
Abstract

Keywords:
hypertensive cardiopathyprognostic factorsprognostic modelArterial hypertension

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