Left Ventricular Strain and Relaxation Are Independently Associated with Renal Cortical Perfusion in Hypertensive Patients

Author(s):  
Arkadiusz Lubas ◽  
Robert Ryczek ◽  
Artur Maliborski ◽  
Przemysław Dyrla ◽  
Longin Niemczyk ◽  
...  
2021 ◽  
Vol 18 (2) ◽  
pp. 15-19
Author(s):  
Bishow Raj Baral ◽  
Arun Maskey ◽  
Rabi Malla ◽  
Sujeeb Rajbhandari ◽  
Krishna Chandra Adhikari ◽  
...  

Background and Aims:  Hypertension being one of the commonest non communicable diseases is major risk factor leading to premature death.1 With development of, the left ventricular strain imaging technique by echocardiography the consequences of hypertension may be identified and intervene earlier. The aim of study was to show abnormalities in cardiac function in the form of left ventricular strain imaging in hypertensive patients with preserved Ejection fraction. Methods: This  was a cross-sectional, comparative and observational study done in Shahid Gangalal National Heart Centre and National Academy of Medical Sciences, Bir Hospital Kathmandu which included hypertensive patients with baseline examination including a medical history, clinical examination and a standardized trans thoracic echocardiography and strain imaging examination and the findings were compared among age and sex frequency matched 82 healthy adults in 1 : 2 ratio. The independent paired t test was used for the comparative statistical analysis. Results: We enrolled 240 patients in this study, 158 were hypertensive (mean age 48.5 ±6.1 years with 50.6 % female) and 82 healthy control (mean age 45.62 ±6.3 years with 51.2% female). There was no significant difference in conventional echocardiographic parameters between two groups except for left ventricular mass index and relative wall thickness that was highest in hypertensive group (p value of <0.001). The hypertensive population has lower mean global longitudinal strain (GLS) value of -18.6% ± 2.06 SD compared to the healthy control population with mean of -19.5% ± 1.1 SD (p value of <0.001). Conclusion: Hypertensive patients with preserved left ventricular ejection fraction have subclinical left ventricular dysfunction revealed by GLS imaging technique.


2018 ◽  
Vol 4 (2) ◽  
pp. 142-149 ◽  
Author(s):  
Naveen Jamwal ◽  
◽  
Sudarshan Kumar Vijay ◽  
Ujjwal Maheshwari ◽  
Bhuwan Chandra Tiwari ◽  
...  

Author(s):  
Qais Neamah Raheem ◽  
Tuka Y. Hassan ◽  
Ammar Q. Raheem ◽  
Hassan Ali Al-farhan

Association of Electrocardiographic Left Ventricular Strain Pattern with Coronary Artery Disease and Cerebrovascular Accident in Hypertensive Patients Background: Patients diagnosed with hypertension and left ventricular hypertrophy could presented with electrocardiographic changes including criteria of left ventricular hypertrophy, and left ventricular strain pattern( fixed ST depression and T inversion in leads I, avL, V5&6) Objective: To study the impact of electrocardiographic left ventricular strain pattern in hypertensive patient as predictor for coronary artery disease and cerebrovascular accident development. Material and method: a cross sectional hospital based study was conducted during 2012-2017 at Iraqi center for heart diseases including hypertensive patients with normal ECG or LV strain pattern criteria, all patients underwent echocardiography and coronary angiography and the data were collected from patients’ files. Results: The records of 401 hypertensive patients [262(65.3%) males/139(34.7%) females] were included in this study. Their mean age was 60.07 ± 10.8 year.  The relation between electrocardiographic left ventricular strain pattern and Coronary Angiography among patients was significant (P <0.001). There was a significant difference between electrocardiographic left ventricular strain pattern and cerebrovascular accident among studied group (P<0.001). Conclusions: electrocardiographic left ventricular strain in hypertensive patients is highly associated with coronary artery disease and cerebrovascular accident.  .


2005 ◽  
Vol 12 (3) ◽  
pp. 182
Author(s):  
B. Caimi ◽  
S. Carugo ◽  
G. B. Bolla ◽  
L. Beltrami ◽  
S. Pizzocri ◽  
...  

2019 ◽  
Vol 26 (5) ◽  
pp. 888-897 ◽  
Author(s):  
Costas Tsioufis ◽  
Dimitris Konstantinidis ◽  
Ilias Nikolakopoulos ◽  
Evi Vemmou ◽  
Theodoros Kalos ◽  
...  

Background: Atrial fibrillation (AF) is the most frequently encountered cardiac arrhythmia globally and substantially increases the risk for thromboembolic disease. Albeit, 20% of all cases of AF remain undiagnosed. On the other hand, hypertension amplifies the risk for both AF occurrences through hemodynamic and non-hemodynamic mechanisms and cerebrovascular ischemia. Under this prism, prompt diagnosis of undetected AF in hypertensive patients is of pivotal importance. Method: We conducted a review of the literature for studies with biomarkers that could be used in AF diagnosis as well as in predicting the transition of paroxysmal AF to sustained AF, especially in hypertensive patients. Results: Potential biomarkers for AF can be broadly categorized into electrophysiological, morphological and molecular markers that reflect the underlying mechanisms of adverse atrial remodeling. We focused on P-wave duration and dispersion as electrophysiological markers, and left atrial (LA) and LA appendage size, atrial fibrosis, left ventricular hypertrophy and aortic stiffness as structural biomarkers, respectively. The heterogeneous group of molecular biomarkers of AF encompasses products of the neurohormonal cascade, including NT-pro BNP, BNP, MR-pro ANP, polymorphisms of the ACE and convertases such as corin and furin. In addition, soluble biomarkers of inflammation (i.e. CRP, IL-6) and fibrosis (i.e. TGF-1 and matrix metalloproteinases) were assessed for predicting AF. Conclusion: The reviewed individual biomarkers might be a valuable addition to current diagnostic tools but the ideal candidate is expected to combine multiple indices of atrial remodeling in order to effectively detect both AF and adverse characteristics of high risk patients with hypertension.


Hypertension ◽  
1997 ◽  
Vol 30 (3) ◽  
pp. 746-752 ◽  
Author(s):  
Nen-Chung Chang ◽  
Zhi-Yang Lai ◽  
Paul Chan ◽  
Tze-Che Wang

Sign in / Sign up

Export Citation Format

Share Document