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Dublin Live
National
Elaine Blackburne & Sophie Collins

Experts discover three types of Long Covid and here are the symptoms to look out for

Experts at King’s College in London have identified three types of ‘Long Covid’ , and the symptoms are affecting people in different ways.

Each type of Long Covid seems to bring with it an entirely different set of symptoms that are lasting up to six months and beyond for some patients. As part of their research, the experts examined 1,459 people living with long Covid as part of the Zoe Health study – which is defined by the study as suffering symptoms for at least 84 days after infection.

The latest information published in relation to the study claims that people with long Covid appear to be split into three main groups, and each has its own symptoms. Here are all the symptoms of Long Covid that you need to watch out for:

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Symptoms included:

Neurological

Those with neurological symptoms including fatigue, brain fog, and headache – most commonly found among those who became infected when the most dominant strains were alpha and delta.

Respiratory

A second group experienced respiratory symptoms including chest pain and shortness of breath. This was found more commonly among those infected during the first wave of the virus.

Multiple symptoms

A final group are experiencing a diverse range of symptoms including heart palpitations, muscle ache and pain, and changes in skin and hair, King’s College said.

However, researchers said these three subtypes were evident in all variants. Clinical lead author Dr. Claire Steves, from King’s College London, said: “These data show clearly that post-Covid syndrome is not just one condition, but appears to have several subtypes.

“Understanding the root causes of these subtypes may help in finding treatment strategies. Moreover, these data emphasise the need for long Covid services to incorporate a personalised approach sensitive to the issues of each individual.”

First author Dr. Liane Canas, from King’s College London, added: “These insights could aid in the development of personalised diagnosis and treatment for these individuals.”

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