Clinical Conditions and Predictive Markers of Non-Dipper Profile in Hypertensive Patients

  • Tilea I
  • Petra D
  • Ardeleanu E
  • et al.
N/ACitations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Hypertension remains one of the primary causes of premature cardiovascular mortality representing a major independent risk factor.The importance of ambulatory blood pressure monitoring in clinical evaluation of hypertensive patients, beyond diagnosis, is the identification of circadian dipping/non-dipping profile. The non-dipper pattern in hypertensive and normotensive patients is associated with significant target organ damage and worse outcomes, as an increased cardiovascular risk condition. Non-dipping pattern has been found to be associated with specific clinical conditions. Obesity, diabetes mellitus, metabolic syndrome, obstructive sleep apnea syndrome, chronic kidney disease, autonomic and baroreflex dysfunctions, salt sensitivity, hormonal changes, gender and age were extensively studied. Research efforts are focused on recognizing and exploring predictive markers of abnormal blood pressure circadian pattern. Previous studies acknowledge that red cell distribution width, mean platelet volume, fibrinogen level, C-reactive protein, serum uric acid and gamma-glutamyltransferase, are independently significant and positive associated to non-dipping pattern. Moreover, research on new biomarkers are conducted: Chitinase 3-Like-Protein 1, atrial and B-type natriuretic peptide, brain-derived neurotrophic factor, chemerin, sphingomyelin and the G972R polymorphism of the insulin receptor substrate-1 gene. This review summarizes the current knowledge of different clinical conditions and biomarkers associated with the non-dipper profile in hypertensive patients.

Cite

CITATION STYLE

APA

Tilea, I., Petra, D., Ardeleanu, E., Hutanu, A., & Varga, A. (2018). Clinical Conditions and Predictive Markers of Non-Dipper Profile in Hypertensive Patients. Acta Medica Marisiensis, 64(1), 10–16. https://doi.org/10.2478/amma-2018-0006

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free