Ambulatory blood pressure profile and left ventricular geometry in Nigerian hypertensives

Ajayi, Olufemi E.; Ajayi, Ebenezer Adekunle; Akintomide, O. A.; Adebayo, Rasaaq A; Ogunyemi, Suraj A; Oyedeji, AT; Balogun, Michael O.

doi:10.4103/0975-3583.85263

Cited by 13 publications

(14 citation statements)

References 22 publications

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“…Moreover, Ajayi et al reported that the presence of LVH was associated with higher mean ABP and lower percentage nocturnal decline in systolic and diastolic blood pressure. This study confirmed the significance of the non-dipping blood pressure pattern on the development of LVH and its subsequently increased cardiovascular risk [42]. While some studies have reported that LVH is more pronounced in non-dippers, others have found no difference among hypertensive subjects [40,43].…”

Section: Discussionsupporting

confidence: 84%

Assessment of the Relation between Mean Platelet Volume, Non-Dipping Blood Pressure Pattern, and Left Ventricular Mass Index in Sustained Hypertension

et al. 2014

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BackgroundElevated mean platelet volume may reflect presence of active large platelets, which lead to fatal or non-fatal cardiovascular events. In recent studies, lack of nocturnal blood pressure fall was presented as an independent predictor of poor prognosis in essential hypertension. The relation of raised MPV with left ventricular hypertrophy has also been reported in hypertension.The aim of this study was to investigate the relation between MPV, non-dipping blood pressure pattern, and left ventricular mass index (LVMI) in sustained hypertension.Material/MethodsA total of 2500 patients, whose ambulatory blood pressure (ABP) records had been evaluated retrospectively between January 2010 and December 2012, were included. Patients were divided into 3 groups according to their ABP values: non-dipper hypertensive (n=289), dipper hypertensive (n=255), and normotensive (n=306). The MPV levels and biochemical analyses were recorded from patient files and, LVMI were automatically calculated using a regression equation.ResultsThe non-dipper and dipper hypertensive groups had significantly higher MPV levels than normotensives (8.4±1 fL, 8.3±1 fL, and 8.1±0.6 fL, respectively, p<0.001). However, there was no difference among the non-dipper and dipper groups in terms of MPV level (p=0.675). Although LVMI was significantly different between non-dipper, dipper, and normotensive groups (p=0.009), no correlation was found between MPV level and LVMI in dipper and non-dipper hypertensive patients (r=−0.080, p=0.142). There was a weak correlation between MPV level and ambulatory 24-h diastolic and systolic blood pressure (r=0.076, p=0.027, and r=0.073, p=0.033, respectively).ConclusionsWe demonstrated that there was no correlation between MPV level, non-dipping pattern of blood pressure, and LVMI in sustained hypertension.

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Section: Discussionsupporting

confidence: 84%

Assessment of the Relation between Mean Platelet Volume, Non-Dipping Blood Pressure Pattern, and Left Ventricular Mass Index in Sustained Hypertension

et al. 2014

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“…Upper normal limits for LV mass index were 134 and 110 g/m 2 in men and women respectively. 13 , 17 Relative wall thickness (2 × posterior wall thickness/LV diastolic diameter) was calculated. A partition value of 0.45 for relative wall thickness was used for men and women.…”

Section: Methodsmentioning

confidence: 99%

“…In Nigeria, studies on LV geometric patterns 10 – 13 involving large number of hypertensive patients are limited and there is little information regarding the association between age and geometric patterns in hypertensive Nigerians. We therefore present an eight-year echocardiographic study of LV geometric patterns of 1020 consecutive hypertensive patients seen at the Cardiac Care Unit of Obafemi Awolowo University Teaching Hospitals Complex (OAUTHC) Ile-Ife, a tertiary hospital in Southwest Nigeria.…”

Section: Introductionmentioning

confidence: 99%

“…Each geometric pattern is associated with a distinct combination of pressure and volume stimuli, contractile efficiency (reduced in those with concentric hypertrophy and concentric remodeling), and prognosis (worst with concentric hypertrophy and best with normal geometry). 8,9 In Nigeria, studies on LV geometric patterns [10][11][12][13] involving large number of hypertensive patients are limited and there is little information regarding the association between age and geometric patterns in hypertensive Nigerians. We therefore present an eight-year echocardiographic study of LV geometric patterns of 1020 consecutive hypertensive patients seen at the Cardiac Care Unit of Obafemi Awolowo University Teaching Hospitals Complex (OAUTHC) Ile-Ife, a tertiary hospital in Southwest Nigeria.…”

Section: Introductionmentioning

confidence: 99%

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Echocardiographic Assessment of Left Ventricular Geometric Patterns in Hypertensive Patients in Nigeria

Adebayo

Bamikole

Balogun

et al. 2013

Clin Med Insights Cardiol

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Left ventricular (LV) hypertrophy is an important predictor of morbidity and mortality in hypertensive patients, and its geometric pattern is a useful determinant of severity and prognosis of heart disease. Studies on LV geometric pattern involving large number of Nigerian hypertensive patients are limited. We examined the LV geometric pattern in hypertensive patients seen in our echocardiographic laboratory. A two-dimensional, pulsed, continuous and color flow Doppler echocardiographic evaluation of 1020 consecutive hypertensive patients aged between 18 and 91 years was conducted over an 8-year period. LV geometric patterns were determined using the relationship between the relative wall thickness and LV mass index. Four patterns of LV geometry were found: 237 (23.2%) patients had concentric hypertrophy, 109 (10.7%) had eccentric hypertrophy, 488 (47.8%) had concentric remodeling, and 186 (18.2%) had normal geometry. Patients with concentric hypertrophy were significantly older in age, and had significantly higher systolic blood pressure (BP), diastolic BP, and pulse pressure than those with normal geometry. Systolic function index in patients with eccentric hypertrophy was significantly lower than in other geometric patterns. Doppler echocardiographic parameters showed some diastolic dysfunction in hypertensive patients with abnormal LV geometry. Concentric remodeling was the most common LV geometric pattern observed in our hypertensive patients, followed by concentric hypertrophy and eccentric hypertrophy. Patients with concentric hypertrophy were older than those with other geometric patterns. LV systolic function was significantly lower in patients with eccentric hypertrophy and some degree of diastolic dysfunction were present in patients with abnormal LV geometry.

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“…Morabito et al in 2016 explored the use of deep machine learning using CNN among Alzheimer Disease and normal candidates and was able to classify mild cognitive impairment which is a feature of early dementia. They averaged a classification accuracy of 82% [12].…”

Section: Various Studies Of Applications Of Anns On Classification Ofmentioning

confidence: 99%

Electroencephalogram Classification Using Various Artificial Neural Networks

2020

jcr

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Electroencephalography (EEG) is the oldest diagnostic tool used in the field of neurosciences. When a neurologist sees an EEG report, he can point out important neural defects in a person but many a times diagnoses were missed and it is just impossible for human brain to process all the data in EEG. Nowadays many deep machine learning architectures are developed to understand the information contained in EEG signals. This study reviews various literatures on classification of EEG signals using various artificial neural networks like Convoluted neural network, Recurrent Neural Network, Deep Belief neural networks and hybrids.

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Ambulatory blood pressure profile and left ventricular geometry in Nigerian hypertensives

Cited by 13 publications

References 22 publications

Assessment of the Relation between Mean Platelet Volume, Non-Dipping Blood Pressure Pattern, and Left Ventricular Mass Index in Sustained Hypertension

Assessment of the Relation between Mean Platelet Volume, Non-Dipping Blood Pressure Pattern, and Left Ventricular Mass Index in Sustained Hypertension

Echocardiographic Assessment of Left Ventricular Geometric Patterns in Hypertensive Patients in Nigeria

Electroencephalogram Classification Using Various Artificial Neural Networks

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