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According to scientists, COVID-19 patients can be divided into three groups

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Phenotypes I and II were associated with a 7.30-fold and 2.57-fold increased risk of death compared to phenotype III.

Scientists have identified three different types COVID-19 (new coronavirus infection) Depending on comorbidities, complications, and clinical outcomes, the patient’s disease characteristics are advances that may help target future interventions to the highest-risk individuals.

New research, Published in the journal PLOS ONEWe analyzed electronic health records (EHRs) from 14 hospitals in the Midwestern United States and 60 primary care clinics in Minnesota.

According to researchers, including researchers at the University of Minnesota in the United States, the study included 7,538 patients with confirmed COVID-19 between March 7, 2020 and August 25, 2020, of which 1,022 patients required hospitalization.

Nearly 60% of the patients included in the study presented what the researchers called “phenotype II.” They said that about 23% of patients exhibited “phenotype I” or “harmful phenotype”, which was associated with the worst clinical outcome. The researchers said these patients had the highest levels of comorbidities associated with heart and kidney dysfunction.

According to this study, 173 patients (16.9%) showed “phenotype III” or “favorable phenotype,” and scientists said this was associated with the best clinical outcome. Although this group had the lowest complication and mortality rates, scientists found that these patients had the highest incidence of respiratory complications compared to other phenotypes and a 10% risk of readmission. Said it was expensive.

Overall, they said that phenotypes I and II were associated with a 7.30-fold and 2.57-fold increased risk of death compared to phenotype III.

Based on the results, scientists said that such phenotype-specific medicine could improve the results of COVID-19. However, they believe that further research is needed to determine the usefulness of these findings in clinical practice.

“Patients do not suffer from COVID-19 with uniform problems. Similarly, identifying affected groups not only improves understanding of the disease process, but also makes future interventions the most at-risk patients. You can point it exactly, “added the scientist. ..

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