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African News Herald > Blog > Health > A Tale Of Twins Born A Month Apart
Health

A Tale Of Twins Born A Month Apart

ANH Team
Last updated: May 9, 2025 9:19 pm
ANH Team
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After giving birth to her daughter, Philasande Mbutuma (30) from Kraaifontein in Cape Town experienced a strange movement in her stomach that she couldn’t explain. She immediately informed the doctors about it while still in the delivery room. Following a scan, the medical team at Karl Bremer District Hospital was astonished to discover that she was still pregnant with a second baby.

Despite attending regular prenatal checkups at Kraaifontein community health centre, Mbutuma was never informed that she was expecting twins. She had a healthy pregnancy and gave birth to a healthy baby girl weighing 2.88kg at Karl Bremer Hospital.

However, Mbutuma felt something moving in her stomach after giving birth. A pregnancy scan revealed that there was another baby, but she had to wait before delivering her as the baby was still tiny. Doctors diagnosed her with a rare pregnancy condition known as delayed interval delivery, where one twin remains in the womb after the first is born to allow the second baby more time to develop and increase its chances of survival.

Professor Ray Maharaj, head of the obstetrics and gynaecology department at the University of Free State, explained that interval births have been documented globally and in South Africa. However, the exact number of cases of delayed interval delivery in South Africa remains unknown. The process of interval delivery occurs when a pregnant woman goes into preterm labour while the other baby is not fully developed, resulting in the first baby being delivered normally while the second baby is left inside the uterus to grow and develop further.

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Mbutuma was surprised to learn that she would give birth to her twins on different days, a phenomenon she had never heard of before. She was instructed to monitor her condition and seek medical attention if she experienced dizziness or nausea. The second twin can be left inside the uterus if it is healthy and normal, but close monitoring is required throughout the pregnancy.

Nearly a month later, on 5 April, Mbutuma began to feel unwell and gave birth to another girl weighing 2.84kg at Kraaifontein Community Health Centre. This rare incident of delayed interval delivery was also reported in South Africa this year when a woman gave birth to twin boys 14 days apart, with the second baby unfortunately not surviving.

In cases of delayed interval delivery, the second baby has a lower risk of death compared to the first if the delivery of the first twin occurs during the six months of pregnancy. However, there are risks such as infection, preterm delivery, placental abruption, and death if the pregnancy is not well monitored. Generally, the outcome of the first twin is poor due to severe prematurity, but if the second twin can develop in the uterus without complications, the outcome will be better if they reach maturity. The world of technology is constantly evolving, with new innovations and advancements being made every day. One of the most exciting developments in recent years is the rise of artificial intelligence (AI) and machine learning. These technologies have the potential to revolutionize industries across the board, from healthcare to finance to transportation.

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AI and machine learning are often used interchangeably, but they are actually two different concepts. AI refers to the ability of machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning, on the other hand, is a subset of AI that focuses on the development of algorithms that allow computers to learn from and make predictions or decisions based on data.

One of the key benefits of AI and machine learning is their ability to automate repetitive tasks and improve efficiency. In the healthcare industry, for example, AI-powered algorithms can analyze medical images to detect early signs of disease, predict patient outcomes, and even assist in surgical procedures. This not only saves time for healthcare professionals but also improves patient outcomes by providing more accurate and timely diagnoses.

In the financial sector, AI and machine learning are being used to detect fraudulent transactions, assess credit risk, and optimize investment strategies. These technologies can analyze vast amounts of data in real-time to identify patterns and trends that humans may not be able to detect. This not only helps financial institutions to reduce risk and increase profits but also improves the overall customer experience by providing more personalized services.

In the transportation industry, AI and machine learning are powering the development of autonomous vehicles, which have the potential to revolutionize how we travel. These vehicles can navigate roads, avoid obstacles, and make split-second decisions without human intervention, making transportation safer and more efficient. This technology also has the potential to reduce traffic congestion, emissions, and overall transportation costs.

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While AI and machine learning offer countless benefits, there are also challenges and ethical considerations that must be addressed. For example, there are concerns about bias in AI algorithms, as they are only as good as the data they are trained on. There are also questions about the impact of automation on the workforce and the potential for job displacement.

Despite these challenges, the potential of AI and machine learning to transform industries and improve our daily lives is undeniable. As technology continues to advance, we can expect to see even more exciting innovations in the years to come. It is important for policymakers, businesses, and individuals to work together to ensure that these technologies are used responsibly and ethically for the benefit of society as a whole.

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