Subendocardial Viability Ratio Predictive Value for Cardiovascular Risk in Hypertensive Patients.
Viviana Aursulesei OnofreiAlexandr CeasovschihRazvan Constantin AnghelMihai RocaDragoș Traian Marius MarcuCristina Andreea AdamOvidiu MituCarmen CumpatFlorin MituAdrian CrișanCristian Mihai Stefan HabaBogdan ArtenePublished in: Medicina (Kaunas, Lithuania) (2022)
Background : The subendocardial viability ratio (SEVR), also known as the Buckberg index, is a parameter of arterial stiffness with indirect prognostic value in assessing long-term cardiovascular risk. Materials and Methods : We conducted a prospective cohort study on 70 patients with uncomplicated hypertension admitted to a county medical reference hospital. We analyzed demographics, laboratory data, arterial stiffness parameters and cardiovascular risk scores (SCORE and Framingham risk scores) and aimed to identify paraclinical parameters associated with increased cardiovascular risk. Results : Of the arterial stiffness parameters, SEVR correlates statistically significantly with age, central and peripheral systolic blood pressure, as well as with heart rate. SEVR seems to have prognostic value among hypertensive patients by increasing the risk of major cardiovascular events assessed by SCORE and Framingham risk scores. SEVR correlates statistically significantly with serum fibrinogen ( p = 0.02) and hemoglobin ( p = 0.046). Between pulse wave velocity and lipid parameters ( p = 0.021 for low-density lipoprotein cholesterol <LDL> and p = 0.030 for triglycerides) a statistically significant relationship was found for the study group. The augmentation index of the aorta also correlated with serum LDL-cholesterol ( p = 0.032) and the hemoglobin levels ( p = 0.040) of hypertensive patients. Conclusions : Age, abdominal circumference and Framingham score are independent predictors for SEVR in our study group, further highlighting the need for early therapeutic measures to control risk factors in this category of patients.
Keyphrases
- blood pressure
- hypertensive patients
- heart rate
- cardiovascular events
- heart rate variability
- risk factors
- healthcare
- end stage renal disease
- body mass index
- cardiovascular disease
- blood glucose
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- metabolic syndrome
- heart failure
- deep learning
- emergency department
- big data
- prognostic factors
- red blood cell
- adipose tissue
- left ventricular
- high density
- body weight
- atrial fibrillation
- pulmonary arterial hypertension
- drug induced
- acute care
- soft tissue
- urinary tract infection