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Patients with COVID-19 can be categorized into three groups

Patients with COVID-19 can be categorized into three groups

Clinical results by phenotype, the chord diagram illustrates the distribution of clinical results (observed%) for the three clinical phenotypes. Abbreviations: intensive care unit (intensive care unit); Vent (mechanical ventilation); Back admission (readmission in a hospital or intensive care unit); ECMO (extracorporeal membrane oxygenation). Credit: Lusczek et al, 2021, PLOS ONE (CC-BY 4.0, creativecommons.org/licenses/by/4.0/)

In a new study, researchers identified three clinical phenotypes of COVID-19, reflecting patient populations with different comorbidities, complications, and clinical outcomes. The three phenotypes are described in an article published this week in the open access journal PLOS ONE First authors Elizabeth Lushek and Nicholas Ingraham of the Medical School at the University of Minnesota, USA, and colleagues.

COVID-19 has infected more than 18 million people and caused more than 700,000 deaths worldwide. The presentation of the emergency department varies widely, suggesting that different clinical phenotypes exist and, importantly, that these particular phenotypic forms may respond differently to treatment.

In the new study, researchers analyzed electronic health records (EHRs) from 14 hospitals in the Midwestern United States and 60 primary care clinics in Minnesota. Data are available for 7538 patients with PCR-confirmed COVID-19 between March 7 and August 25, 2020; 1022 of these patients needed hospital admission and were included in the study. Data for each patient include comorbidities, medications, laboratory values, clinic visits, hospital admission information, and patient demographics.

Most of the patients included in the study (613 patients or 60 percent) presented what the researchers called “phenotype II.” 236 patients (23.1 percent) presented with “phenotype I” or “unfavorable phenotype”, which is associated with the worst clinical outcomes; these patients had the highest levels of haematological, renal and cardiac comorbidities (all hospital hospital readmissions compared to other phenotypes. Overall, phenotypes I and II were associated 7.30-fold (95% CI 3.11-17.17, p

The authors conclude that phenotype-specific medical care may improve COVID-19 outcomes and suggest that future research is needed to determine the benefit of these findings in clinical practice.

The authors add: “Patients do not suffer from COVID-19 in the same substance. By identifying such affected groups, we not only improve our understanding of the disease process, but this allows us to target future interventions to the highest risk patients. ”

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More info:
Elizabeth R. Lusczek et al, Characterizing clinical phenotypes of COVID-19 and related comorbidities and complication profiles, PLOS ONE (2021). DOI: 10.1371 / journal.pone.0248956

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Quote: Patients with COVID-19 can be categorized into three groups (2021, April 2), retrieved on April 2, 2021 from https://medicalxpress.com/news/2021-04-covid-patients-categorized- groups.html

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