Scientists Identify Six Types of Coronavirus with Increasing Severity Levels

Modesto Morganelli
Luglio 20, 2020

Those behind the study, led by researchers from King's College London, say it will have major implications on treatment decisions during a potential second wave of coronavirus and could "save lives".

The researchers used the data to develop a model to predict which patients are most likely to require hospitalisation and breathing support, based on their earliest symptoms.

Since Covid-19 was a new disease and since information about symptoms was limited, especially among patients that hadn't been hospitalized, the CDC sent a further survey to patients identified by local health leaders.

Scientists at King's College London (KCL) found that patients with the sixth type of Covid-19 are almost 10 times more likely to end up needing breathing support than patients in the first group.

Based on the data analyzed by the team, it was found that there was a variable that could distinguish six different types of COVID-19.

The most severe, sixth, the form collects many symptoms, including headache, loss of smell and appetite, cough, fever, hoarseness, sore throat and chest, fatigue, confusion, muscle pain, shortness of breath, diarrhea, and abdominal pain.

In the fourth cluster, the scientists said patients reported loss of smell, cough, headache, fever, hoarseness, chest pain, and fatigue.

Gastrointestinal - Headache, loss of smell, loss of appetite, diarrhoea, sore throat, chest pain, no cough. Symptoms of the primary two "flu-like" forms include headache, cough, sore throat, and possible loss of sense of smell.

In the first cluster were patients who reported "flu-like symptoms with no fever", with manifestations including loss of smell, muscle pains, cough, sore throat, chest pain.

"These findings have important implications for care and monitoring of people who are most vulnerable to severe COVID-19", said Claire Steves, a co-author of the study from King's College London.

The ministry believes that this step may be more acceptable to the residents and will help reduce the burden on existing facilities for managing pre-symptomatic, asymptomatic and very mild cases of Covid-19 residing in that particular society.

The algorithm was then tested by running it on a second independent dataset of 1,000 users in the UK, US and Sweden, who had logged their symptoms during May.

Cough was the most common symptom: 84% of surveyed patients said they had a cough, the team of CDC and state health officials found. Fever was the next most common symptom, with 80% of patients reporting they had a fever.

For clusters 4, 5, and 6, the researchers said these figures were 8.6, 9.9, and 19.8 per cent respectively.

Patients who are more likely to suffer the severe strains are older, overweight and have pre-existing conditions such as diabetes and heart disease.

Professor Tim Spector added: "Data is our most powerful tool in the fight against COVID-19".

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