In a new study, researchers identified three clinical COVID-19 phenotypes, reflecting patient populations with different comorbidities, complications, and clinical outcomes.These three phenotypes are described in a paper published this week in an open access journal One number pass The first authors are Elizabeth Lusczek and Nicholas Ingraham of the University of Minnesota School of Medicine and colleagues.
COVID-19 has infected more than 18 million people and caused more than 700,000 deaths worldwide. The manifestations of the emergency department vary greatly, indicating that there are different clinical phenotypes. Importantly, these different phenotypic manifestations may have different responses to treatment.
In this new study, researchers analyzed electronic health records (EHR) from 14 hospitals in the Midwestern United States and 60 primary care clinics in Minnesota. From March 7 to August 25, 2020, data on 7,538 COVID-19 patients confirmed by PCR will be available. 1,022 of these patients required hospitalization and were included in the study. Data about each patient includes comorbidities, medications, laboratory values, clinic visits, admission information and patient statistics.
Most of the patients included in the study (613 patients, 60%) exhibited what the researchers called “phenotype II.” 236 patients (23.1%) showed “type I” or “bad phenotype”, which is related to the worst clinical outcome; these patients had the highest levels of hematology, nephropathy and heart disease comorbidities (compared to other phenotypes, All phosphate readmissions. Overall, phenotypes I and II were 7.30-fold correlated (95% CI 3.11-17.17, p
The authors conclude that phenotypic-specific medical services can improve the outcome of COVID-19 and suggest that further research is needed to determine the utility of these findings in clinical practice.
The author added: “Patients will not suffer from COVID-19 on the same thing. By identifying similar patients, we not only improve our understanding of the disease process, but also enable us to accurately target future interventions. Target the highest-risk patients.”
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Elizabeth R. Lusczek and others, “Analysis of the characteristics of the clinical phenotype of COVID-19 and the profile of related complications and complications”, One number pass (2021). DOI: 10.1371/journal.pone.0248956
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Citation: COVID-19 patients can be divided into three categories (April 2, 2021), which can be retrieved from https://medicalxpress.com/news/2021-04-covid- Patients-categorized-groups.html April 2, 2021 day
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