The six categories are defined by different clusters of symptoms, and some patients in some groups are much more likely to need ventilators.
Full story of excerpts at Source Link: >Study identifies six different “types” of COVID-19 – CBS News
“A new study of, based on data from a symptom tracker app, determined that there are six distinct “types” of the disease involving different clusters of symptoms. The discovery could potentially open new possibilities for how doctors can better treat individual patients and predict what level of hospital care they would need.
“The six clusters of symptoms outlined in the study are:
Flu-like with no fever: Headache, loss of smell, muscle pains, cough, sore throat, chest pain, no fever.
Flu-like with fever: Headache, loss of smell, cough, sore throat, hoarseness, fever, loss of appetite.
Gastrointestinal: Headache, loss of smell, loss of appetite, diarrhea, sore throat, chest pain, no cough.
Severe level one, fatigue: Headache, loss of smell, cough, fever, hoarseness, chest pain, fatigue.
Severe level two, confusion: Headache, loss of smell, loss of appetite, cough, fever, hoarseness, sore throat, chest pain, fatigue, confusion, muscle pain.
Severe level three, abdominal and respiratory: Headache, loss of smell, loss of appetite, cough, fever, hoarseness, sore throat, chest pain, fatigue, confusion, muscle pain, shortness of breath, diarrhea, abdominal pain.
“The first level, “flu-like with no fever,” is associated with headaches, loss of smell, muscle pains, cough, sore throat and chest pain. Patients at this level have a 1.5% chance of needing breathing support such as oxygen or a ventilator.
“The most severe type of COVID-19 is referred to as “severe level three, abdominal and respiratory,” and has all the above symptoms along with abdominal pain, shortness of breath and diarrhea. Nearly 20% of these patients need breathing support.
“Those are the severe level threes who wind up on a ventilator, and then it is touch-and-go as to whether they survive the infection entirely. Patients in the severe clusters also tended to be older or with pre-exisiting conditions and weakened immune systems, compared to those in the first three.
“Scientists hope the discovery, once further studied, could help predict what types of care patients with COVID-19 might need, and give doctors the ability to predict which patients would fall into which category.
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