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23 August 2022 | Story André Damons | Photo Supplied
Dr Walter Janse van Rensburg
Dr Walter Janse van Rensburg, Senior Lecturer in the Human Molecular Biology Unit, Department of Haematology and Cell Biology in the UFS School of Biomedical Sciences, says new research found that men of European descent over the age of 50 are the most vulnerable for the development of atherosclerosis.

A new study by researchers in the Human Molecular Biology Unit in the School of Biomedical Sciences at the University of the Free State (UFS) into atherosclerosis in the South African population found that men of European descent over the age of 50 are the most vulnerable for the development of atherosclerosis – the most common disorder associated with cardiovascular diseases (CVDs). Nearly half of men in this group had visible signs of atherosclerosis in the coronary arteries of the heart. 

This was in contrast to the only roughly one-tenth of the African-descent males and females in the same age bracket. More than a third of women of European descent over 50 had visible atherosclerosis in their coronary arteries. One hypothesis regarding a possible explanation for this discrepancy is based on the theory that socioeconomic status may be a driving force behind CVD.

Risks factor for cardiovascular diseases

Dr Walter Janse van Rensburg, Senior Lecturer in the Human Molecular Biology Unit at the School of Biomedical Sciences, UFS, and principal researcher, says the study was conceptualised during 2020s COVID-19 pandemic, due to reports of excessive blood clots associated with both acute COVID-19 infection and some of the SARS-CoV2 vaccines. However, limited data existed in our region regarding the other underlying causes for blood clot formation, such as atherosclerotic plaque rupture. The data was collected during a couple of months in 2021. The data was collected out of more than 10,000 case files spanning 10 years. The study is still ongoing.

“Atherosclerosis remains a major risk factor for CVD, and thus, believed to be a good indicator of the CVD profile in a population, yet little is known on its prevalence in sub-Saharan African populations. We aimed to determine the prevalence of atherosclerosis in a diverse South African population as found in post-mortem investigations. A retrospective file audit was done on 10,240 forensic post-mortem reports done at a forensic pathology mortuary in South Africa, over 10 years,” writes Dr Janse van Rensburg in the Abstract of the research article. 

According to him, cardiovascular diseases are reportedly the No 1 cause of mortality worldwide. According to the latest report from Stats SA, diseases of the circulatory system account for nearly a fifth of all deaths in South Africa.
“CVD is a multifactorial disorder, however, the presence of atherosclerosis (an inflammatory condition of artery walls) is the most common disorder associated with CVD. In order to assist in the prevention of the formation and progression of atherosclerosis, one can manage factors that have been associated with a higher risk for atherosclerosis, such as the use of tobacco, hypertension, elevated cholesterol, obesity, HIV infection and diabetes,” says Dr Janse van Rensburg.

Reasons behind different population’s mortality rate

It has been proposed, says Dr Janse van Rensburg, that socioeconomic status is possibly one of the essential roleplayers in CVD aetiology. The socioeconomic inequality in South Africa is well known, with an economic inequality Gini coefficient of 0.63 (the highest in the world). One study reported that in the Free State province, in the non-agricultural sector, the average household income for a European-descent household is roughly 4.35-times higher than the average African-descent household income. 

“Therefore, it is postulated that wealthier people, in the South African context, historically people of European descent, have the means to afford and adopt lifestyles that contribute to the increased risk of lifestyle diseases such as obesity, hypercholesterolaemia and diabetes, which are associated with a higher risk to develop CVD.

“We postulate that CVD-related deaths are traditionally lower among South Africans of African descent compared to the other ethnic populations due to the historical socioeconomic discrepancy between people of African descent and other population groups in higher-income countries.”

The study also found that the prevalence of CVDs and the incidence of premature CVD-related deaths are steadily increasing in both rural and urban communities and across the socioeconomic spectrum. The theory of epidemiological transition says that in populations with improved living conditions and better access to healthcare, the proportion of deaths caused by infectious diseases will decrease, and the proportion of deaths due to more chronic “man-made” lifestyle-related diseases, such as CVD, will increase.

However, our population’s socioeconomic status is not the only driving force behind CVD. Therefore, we theorise there has been an upward trend in South Africa across all regions to improve the access to better food and better healthcare, consequently resulting in an increase in CVD-related morbidity and mortality statistics.

“For all population groups, males are more affected than females within their demographic group. This may also be possibly attributed to the socioeconomic status and access to the healthcare gender-gap differential in the country.”

Studies are vital in raising public awareness

Dr Janse van Rensburg says that studies such as this are vital in raising public awareness regarding disorders associated with the lifestyle choices people make. However, a multidisciplinary approach is needed to ultimately create a lasting impact. 

“We hope that our findings will assist in identifying specific groups with a possible increased risk for CVD, and that we will inspire more focused research to identify potential high-risk behaviours within these groups that may eventually result in the enhancement of public health policies and awareness campaigns in our region.

“Recently, another article has been accepted for publication regarding the prevalence of excessive blood clots (thrombosis) as the underlying cause of death in our study cohort, further contributing to our understanding of the origins and contributory factors of CVDs in our region.”

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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