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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Assessment of left ventricular geometrical patterns and function among hypertensive patients at a tertiary hospital, Northern Tanzania
BMC Cardiovascular Disorders, Volume 12, Article 109, Year 2012
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Description
Background: With hypertension, the cardiovascular system changes to adapt to the varying neuro-humoral and hemodynamic changes and this may lead to the development of different left ventricular geometric patterns, each carrying a different risk profile for major adverse cardiovascular events.Methods: Using a consecutive sampling technique, a cross-sectional, prospective, hospital based study was done and two hundred and twenty seven (227) hypertensive patients were studied.Results: The distribution of different abnormal LV geometrical patterns was 19.8%, 28.2%, 22% for concentric remodelling, concentric hypertrophy and eccentric hypertrophy respectively. With echocardiographic criteria, the proportion of patients with left ventricular hypertrophy (LVH) was higher when left ventricular mass (LVM) was indexed to height2.7 than to body surface area (70.0% vs. 52.9%). Duration of hypertension markedly influenced the type of LV geometry with normal LV geometry predominating in early hypertension and abnormal geometrical patterns predominating in late hypertension. The left ventricular fractional shortening decreased with duration of hypertension and was common in patients with eccentric hypertrophy. Age of the patient, systolic blood pressure, duration of hypertension and body mass index were found to be independent predictors left ventricular hypertrophy.Conclusion: About 70% of hypertensive patients had abnormal geometry existing in different patterns. Eccentric hypertrophy had more of clinical and echocardiographic features suggestive of reduced left ventricular systolic function. Hypertensive patients should be recognized as a heterogeneous population and therefore stratifying them into their respective LV geometrical patterns is useful as way of assessing their risk profile as well as instituting appropriate management. © 2012 Silangei et al.; licensee BioMed Central Ltd.
Authors & Co-Authors
Silangei, Lairumbe K.
Tanzania, Moshi
Kilimanjaro Christian Medical University College
Tanzania, Moshi
Kilimanjaro Christian Medical Centre
Tanzania, Dar es Salaam
University of Dar es Salaam
Maro, Venance Phillip
Tanzania, Moshi
Kilimanjaro Christian Medical University College
Tanzania, Moshi
Kilimanjaro Christian Medical Centre
Diefenthal, Helmut C.
Tanzania, Moshi
Kilimanjaro Christian Medical University College
Tanzania, Moshi
Kilimanjaro Christian Medical Centre
Kapanda, Gibson Erick
Tanzania, Moshi
Kilimanjaro Christian Medical University College
Dewhurst, Matthew J.
United Kingdom, Newcastle
Freeman Hospital
Mwandolela, Hery
Tanzania, Dar es Salaam
Heameda Medical Clinic
Hamel, Ben C.J.
Tanzania, Moshi
Kilimanjaro Christian Medical University College
Statistics
Citations: 20
Authors: 7
Affiliations: 5
Identifiers
Doi:
10.1186/1471-2261-12-109
e-ISSN:
14712261
Research Areas
Health System And Policy
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study
Study Locations
Tanzania