1. Prognostic model of the adaptive changes from hypertensive cardiopathy: from mild diastolic dysfunction to depressed systolic function
- Author
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Alexis Álvarez-Aliaga, Adonis Frómeta-Guerra, Alexis Suárez-Quesada, David del Llano-Sosa, Joel Berdú-Saumell, and Yasel Alberto Lago-Santiesteban
- Subjects
arterial hypertension ,hypertensive cardiopathy ,prognostic factors ,prognostic model ,Medicine ,Medicine (General) ,R5-920 - Abstract
Introduction Hypertensive cardiopathy is defined as a series of complex and variable effects responsible for the chronic elevation of arterial pressure in the heart. It falls within a broad spectrum of cardiovascular diseases associated with hypertension. Objective To evaluate the capacity to predict the development of the adaptive changes of hypertensive cardiopathy within ten years following the diagnosis of this condition, using a model based on prognostic factors. Methods A prospective cohort study was conducted in hypertensive patients. The patients were followed at the specialized arterial hypertension physician’s office of the Specialty Policlinic attached to “Carlos Manuel de Céspedes” Hospital, Bayamo Municipality, Granma Province, Cuba, from January 1, 2008, to December 31, 2018. Results Cox’s proportional regression model showed a significant statistical relationship between most of the factors and the development of the adaptive changes in hypertensive cardiopathy within ten years of follow-up after the diagnosis of this condition. The lack of blood pressure control (hazard ratio: 2.090; confidence interval 95%: 1.688 to 2.588; p: 0.000) followed by stage 2 of arterial hypertension (hazard ratio: 1.987; confidence interval 95%: 1.584 to 2.491; p: 0.000) were the main factors. Internal validation of the model (discriminant capacity [C- statistic: 0.897] and [calibration Hosmer-Lemeshow [χ2: 5,384; p: 0,716] was acceptable. Conclusions We develop a model to predict the progression of hypertensive cardiopathy from grade I to grade IV with adequate discriminatory capacity. The model is based on prognostic factors, among which characteristic effects of arterial hypertension, diabetes mellitus, and chronic kidney disease stood out.
- Published
- 2020
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