Covid-19 Patients Can Be Categorised Into Three Groups: Scie
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Scientists have identified three different types of COVID-19 disease traits in patients, depending on their comorbidities, complications, and clinical outcomes, an advance that may help target future interventions to the most risk-prone individuals. The new study, analysed the electronic health records (EHRs) from 14 hospitals in the midwestern US and from 60 primary care clinics in the state of Minnesota.

According to the researchers, the study included 7,538 patients with confirmed COVID-19 between March 7 and August 25, 2020, of which 1,022 patients required hospitalisation. Close to 60 per cent of the patients included in the research presented with what the researchers called "phenotype II."

They said about 23 per cent of the patients presented with "phenotype I," or the "adverse phenotype," which was associated with the worst clinical outcomes. The researchers said these patients had the highest level of comorbidities related to heart and kidney dysfunction. 173 patients, or 16.9 per cent presented with "phenotype III," or the "favourable phenotype," which the scientists said was associated with the best clinical outcomes.

While this group had the lowest complication rate and mortality, the scientists said these patients had the highest rate of respiratory comorbidities as well as a 10 per cent greater risk of hospital readmission compared to the other phenotypes. Overall, they said phenotypes I and II were associated with 7.30-fold and 2.57-fold increases in hazard of death relative to phenotype III. Based on the results, the scientists said such phenotype-specific medical care could improve COVID-19 outcomes.