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The Use of Precision Medicine to Manage Obstructive Sleep Apnea Treatment in Patients with Resistant Hypertension: Current Evidence and Future Directions

Overview of attention for article published in Current Hypertension Reports, June 2018
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Title
The Use of Precision Medicine to Manage Obstructive Sleep Apnea Treatment in Patients with Resistant Hypertension: Current Evidence and Future Directions
Published in
Current Hypertension Reports, June 2018
DOI 10.1007/s11906-018-0853-3
Pubmed ID
Authors

Esther Sapiña, Gerard Torres, Ferran Barbé, Manuel Sánchez-de-la-Torre

Abstract

The significant prevalence of resistant hypertension (RH) and the high cardiovascular risk of the population of patients with RH have indicated the necessity to identify its main causes. Among these, obstructive sleep apnea (OSA) is considered the most well-established cause. In recent years, several studies have shown a beneficial effect of continuous positive airway pressure (CPAP) treatment on blood pressure (BP), but this effect exhibits great variability. The diagnosis and management of OSA in patients with RH suggest a clinical option for a phenotype of patients for whom therapeutic strategies are limited to pharmaceutical therapy and renal denervation. However, the great variability in the CPAP response has increased the necessity to develop instruments to identify patients who could benefit from a treatment that reduces BP. Application of precision medicine to these patients should be considered as a first-line intervention to avoid the prescription of ineffective treatments and excessive consumption of pharmacological drugs that do not ameliorate the cardiovascular risk.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Bachelor 7 14%
Student > Postgraduate 5 10%
Student > Ph. D. Student 4 8%
Librarian 3 6%
Other 8 16%
Unknown 14 28%
Readers by discipline Count As %
Medicine and Dentistry 20 40%
Nursing and Health Professions 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Social Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Other 5 10%
Unknown 17 34%