Tag: transient ischaemic attack

Categories : Cardiovascular Disease NeurologyTags :

Could a Transient Ischaemic Attack Leave Lasting Fatigue?

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A transient ischaemic attack (TIA) is typically defined as a temporary blockage of blood flow to the brain that causes symptoms that go away within a day, but a new study finds that people who have this type of stroke may also have prolonged fatigue lasting up to one year. The study is published in Neurology®, the medical journal of the American Academy of Neurology (AAN).

The study does not prove that TIAs, also known as mini-strokes, cause lasting fatigue; it only shows an association. “People with a transient ischaemic attack can have symptoms such as face drooping, arm weakness or slurred speech and these resolve within a day,” said study author Boris Modrau, MD, PhD, of Aalborg University Hospital in Denmark. “However, some have reported continued challenges including reduced quality of life, thinking problems, depression, anxiety and fatigue. Our study found that for some people, fatigue was a common symptom that lasted up to one year after the transient ischaemic attack.”

The study involved 354 people with an average age of 70 who had a mini-stroke. They were followed for a year.

Participants completed questionnaires about their level of fatigue within the first two weeks of the mini-stroke and again at three, six, and 12 months later. One questionnaire looked at five different types of fatigue, including overall tiredness, physical tiredness, reduced activity, reduced motivation and mental fatigue. Scores ranged from four to 20 with higher scores indicating more fatigue. Participants had an average score of 12.3 at the start of the study. At three months, the average score decreased slightly to 11.9, at six months to 11.4 and at twelve months to 11.1.

Researchers looked at how many participants experienced fatigue as defined as a score of 12 or higher. Of the participants, 61% experienced fatigue two weeks after the mini-stroke and 54% experienced fatigue at each of the three other testing time periods at three, six and 12 months.

Participants also had brain scans. Researchers found that the presence of a blot clot on a scan was equal between people with long term fatigue and those without it, so this did not explain the reason for the level of fatigue.

Researchers did find that previous anxiety or depression was twice as common in those participants who reported lasting fatigue.

“Long-term fatigue was common in our group of study participants, and we found if people experience fatigue within two weeks after leaving the hospital, it is likely they will continue to have fatigue for up to a year,” said Modrau. “For future studies, people diagnosed with a transient ischaemic attack should be followed in the weeks and months that follow to be assessed for lingering fatigue. This could help us better understand who might struggle with fatigue long-term and require further care.”

A limitation of the study was that while participants were asked to complete the questionnaires themselves, it is possible some responses may have been completed with assistance from relatives or caretakers and this may have influenced responses, including those around fatigue.

Source: American Academy of Neurology

Categories : Cardiovascular DiseaseTags :

Clinical Researchers Discover Four New Factors that Predict Atrial Fibrillation

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UK researchers have developed a new way of identifying patients at risk of atrial fibrillation (AF). While not life threatening, the condition increases people’s risk of having a transient ischaemic attack (TIA) or stroke by up to five times. A new study, published in the European Journal of Preventive Cardiology, reveals four specific factors that can predict which patients will have atrial fibrillation.

The researchers investigated clinical and echocardiographic parameters for AF and found that the combination of advanced age, increased DBP, increasing lateral PA (time interval from the beginning of the P wave on the surface electrocardiogram to the beginning of the A′ wave on pulsed wave tissue Doppler of the lateral mitral annulus), and impaired LA reservoir strain is associated with AF. Other studies have linked most of these factors have been linked with an increased risk of AF in stroke survivors.

The team went on to create an easy tool for doctors to use in practice to identify those at high risk, which they hope will help diagnose and treat more patients, reducing their risk of future strokes.

Lead researcher Prof Vassilios Vassiliou, from UEA’s Norwich Medical School and Honorary Consultant Cardiologist at the Norfolk and Norwich University Hospital, said: “Identifying who is at high risk and more likely to develop atrial fibrillation is very important.

“This is because it requires specific treatment with anticoagulants, commonly known as blood thinners, to reduce the risk of future strokes.

“Patients who have had a stroke usually undergo multiple investigations to determine the cause of the stroke, as this can influence the treatment they receive long-term.

“These investigations include prolonged monitoring of the heart rhythm with a small implantable device called a loop recorder, and an ultrasound of the heart, called an echocardiogram.”

The research team collected data from 323 patients across the East of England, treated at Cambridge University Hospitals NHS Foundation Trust, who had had a stroke with no cause identified- known as Embolic Stroke of Undetermined Source.

They analysed medical records as well as data from prolonged heart rhythm monitoring. They also studied their echocardiograms.

Prof Vassiliou said: “We determined how many of these patients were found to have atrial fibrillation up to three years following their stroke, and went on to perform a thorough assessment to identify if there are specific parameters that are connected with atrial fibrillation identification.

“We identified four parameters that were linked with the development of atrial fibrillation, which were consistently present in patients that had this arrhythmia. We then developed a model that can be used to predict who will show atrial fibrillation in the next three years, and is therefore at increased risk of another stroke in the future.”

“This is a very easy tool that any doctor can use in clinical practice,” he added.

“And it can potentially help doctors provide more targeted and effective treatment to these patients, ultimately aiming to highlight the people at higher risk of this arrhythmia that can benefit from prolonged heart rhythm monitoring and earlier anticoagulation to prevent a future stroke.”

Source: University of East Anglia