Post by Nadica (She/Her) on Jun 29, 2024 18:40:24 GMT
Researchers Identify Four Long COVID Categories - Last Updated Feb 28, 2023
What you need to know
The clusters of symptoms that patients with Long COVID develop tend to fit one of four categories or types, according to a study supported by the Researching COVID to Enhance Recovery (RECOVER) Initiative. Researchers found that the following diagnoses often occur together:
Type 1: Heart, kidney, and circulatory problems
Type 2: Lung conditions, sleep disorders, and anxiety
Type 3: Muscle pain, connective tissue disorders, and nervous system disorders
Type 4: Digestive and respiratory problems
What did the researchers do?
Researchers gathered the anonymous health records of more than 20,000 patients who previously had COVID-19. The researchers used a computer algorithm to find diagnoses that frequently appeared together in the patients’ health records a month or more after they tested positive for COVID-19 in 2020 or 2021. The researchers then repeated their analysis using a separate set of nearly 14,000 health records and confirmed their original results.
In addition to identifying the four Long COVID categories, the researchers discovered distinct characteristics about the patients in each group. For example, patients who developed Type 3 Long COVID were more likely to have had autoimmune diseases before getting COVID-19, and people who developed Type 1 Long COVID were more likely to have had severe COVID-19.
Why is this research important?
Patients and researchers have identified more than 200 symptoms of Long COVID, affecting nearly every part of the body. This makes it difficult to say exactly what Long COVID is. By defining what Long COVID can typically look like, these findings can help health care providers recognize when their patients have the condition and guide them to treatments to manage their symptoms. The findings can also help people find appropriate clinical trials for their specific Long COVID experiences.
For researchers, identifying common clusters of symptoms can help to understand what happens in the body after SARS-CoV-2 infection and why Long COVID develops. This research is an important example of the types of discoveries that are possible using data algorithms that analyze large volumes of health records.
What you need to know
The clusters of symptoms that patients with Long COVID develop tend to fit one of four categories or types, according to a study supported by the Researching COVID to Enhance Recovery (RECOVER) Initiative. Researchers found that the following diagnoses often occur together:
Type 1: Heart, kidney, and circulatory problems
Type 2: Lung conditions, sleep disorders, and anxiety
Type 3: Muscle pain, connective tissue disorders, and nervous system disorders
Type 4: Digestive and respiratory problems
What did the researchers do?
Researchers gathered the anonymous health records of more than 20,000 patients who previously had COVID-19. The researchers used a computer algorithm to find diagnoses that frequently appeared together in the patients’ health records a month or more after they tested positive for COVID-19 in 2020 or 2021. The researchers then repeated their analysis using a separate set of nearly 14,000 health records and confirmed their original results.
In addition to identifying the four Long COVID categories, the researchers discovered distinct characteristics about the patients in each group. For example, patients who developed Type 3 Long COVID were more likely to have had autoimmune diseases before getting COVID-19, and people who developed Type 1 Long COVID were more likely to have had severe COVID-19.
Why is this research important?
Patients and researchers have identified more than 200 symptoms of Long COVID, affecting nearly every part of the body. This makes it difficult to say exactly what Long COVID is. By defining what Long COVID can typically look like, these findings can help health care providers recognize when their patients have the condition and guide them to treatments to manage their symptoms. The findings can also help people find appropriate clinical trials for their specific Long COVID experiences.
For researchers, identifying common clusters of symptoms can help to understand what happens in the body after SARS-CoV-2 infection and why Long COVID develops. This research is an important example of the types of discoveries that are possible using data algorithms that analyze large volumes of health records.