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22 February 2024 | Story André Damons | Photo SUPPLIED
Prof Robert Bragg
Prof Robert Bragg is a researcher in the Department of Microbiology and Biochemistry at the University of the Free State (UFS) and believes hospital-acquired infections (HAIs) might already be “Disease X”.

During the World Governments Summit, the World Health Organisation (WHO) warned world leaders about the likelihood of a Disease X outbreak, saying it is “a matter of when, not if” a new pathogen and pandemic will strike. If there is an outbreak of this disease tomorrow, the world still would not be ready. 

During his speech earlier this month at the summit in Dubai, Tedros Adhanom Ghebreyesus, Director-General of the WHO, said COVID-19 was a Disease X – a new pathogen causing a new disease. He said: “There will be another Disease X, or a Disease Y or a Disease Z. And as things stand, the world remains unprepared for the next Disease X, and the next pandemic. If it struck tomorrow, we would face many of the same problems we faced with COVID-19.”

Though Disease X is a hypothetical placeholder representing yet-to-be-encountered pathogens, Prof Robert Bragg, researcher in the Department of Microbiology and Biochemistry at the University of the Free State (UFS), believes hospital-acquired infections (HAI) might already be “Disease X”. He says data shows that deaths from HAIs will become the leading cause of human deaths. This problem is rapidly growing as most of the pathogens which people contract while in hospital are now resistant to antibiotics, making them very difficult to treat.  

Prof Bragg, whose main research is in disease-control, first in the agricultural industry, and now human health, also previously warned about a disease that would make COVID-19, which killed more than seven million people to date globally, look like a dress rehearsal. His PhD student, Samantha Mc Carlie, investigating how bacteria become resistant to disinfectant and sanitiser products. This is a serious problem for the future, as disinfection could be our last line of defence.

Heading for a crisis in health care

“The world is rapidly heading for a crisis in health care regarding hospital-acquired infections. It is common knowledge that we are quickly running out of antibiotics (and antifungals) to treat bacterial and yeast infections. Without antibiotics and antifungals, the outcome of many of these bacterial and yeast hospital-acquired infections will be very severe. They will, unfortunately, in many cases, result in the death of the patient,” says Prof Bragg. 

According to him, the WHO suggests that 30% of patients in ICUs in developed countries and 70% in underdeveloped countries will contract a HAI. Of these, the mortality rate can be as high as 70%. 

“Most of these infections are caused by multiple drug resistance strains of bacteria such as Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter species. Additional bacteria and yeast, which can also cause HAIs, such as Serratia species, are also becoming a concern due to their intrinsic higher levels of disinfectant resistance.”

Prof Bragg explains that in 2014, a high-profile review was first published, commissioned by the UK Prime Minister, entitled, “Antimicrobial Resistance: Tackling a crisis for the Health and Wealth of Nations” (the AMR Review). This review estimated that antimicrobial resistance (AMR) could cause 10 million deaths annually by 2050 (The Review on Antimicrobial Resistance 2016). This is the same number of deaths caused by cancer today, making AMR the leading cause of human mortality by 2050. When it was finalised, this report was highly criticised as an over-dramatisation, as when this prediction was made, the number of mortalities related to HAIs was around 700 000 – a very long way off 10 000 000. However, according to recent estimates, five years later, in 2019, 1.27 million deaths were directly attributed to drug-resistant infections globally, and this had reached 4.95 million deaths associated with bacterial AMR (including those directly attributable to AMR) by 2022 (Murray et al. 2022). 

The overuse of disinfectants during the COVID-19 pandemic, according to Prof Bragg and Mc Calie, has contributed to the crisis by fostering resistant strains and contaminating environments. Based on the current trajectory of mortalities, the 10 million mark will be reached way before 2050.

Need for a paradigm shift

The researchers say an urgent need to change the paradigm in medicine from “treatment” to “prevention” is necessary and that the old saying ‘prevention is better than cure’ has never been truer. 

According to Bragg: “The golden era of antibiotics is rapidly coming to an end. It is highly unlikely that we will discover new antibiotics, and even if we do, the likelihood that the bacteria will already have or will be able to develop resistance in a very short time is highly likely. 

“We need to think of what happed with quinolones, where we thought we had won the war with a groundbreaking new antimicrobial agent. The bacteria did not have millions of years of evolution to develop resistance to quinolone, yet in only three years, the first resistant bacteria were isolated. There is currently great excitement around AI-derived new antibiotics. However, the end result is likely to be the same. We need an alternative to treatment – in other words, a paradigm shift.” 

Improved biosecurity 

Prof Bragg says highly improved biosecurity is the only viable option for disease control in a post-antibiotic era. By using good biosecurity in poultry production, he says the mortality rates were reduced by 50%. 

Research has shown a direct link between the environmental microbial load in a hospital and HAIs; with a lower microbial load linked to lower incidence of HAIs including C. difficile infections (Boyce et al. 2008; Suleyman et al. 2018; Umemura et al., 2022). Therefore, the new paradigm is to reduce microbial contamination in the hospital environment to prevent HAIs. If there are fewer dangerous microorganisms in an environment, patient and staff exposure to these microorganisms will decrease, reducing the level of HAIs for staff and patients. However, to reduce the microbial loads in healthcare settings, effective cleaning and disinfection products need to be used. 

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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