Research Roundup: Predicting Susceptibility to COVID-19 and More

  • Source: BioSpace
  • Published: 06/19/2020 12:00 AM

Every week there are numerous scientific studies published. Here’s a look at some of the more interesting ones: Researchers with the Cleveland Clinic developed a first risk prediction model for healthcare providers to predict an individual patient’s likelihood of a positive COVID-19 test, in addition to predicting their outcomes from the disease. The model, called a nomogram, evaluates the relevance of age, race, gender, socioeconomic status, vaccination history and current medications in COVID-19 risk. The results were published in the journal CHEST. The actual test can be found here. “The ability to accurately predict whether or not a patient is likely to test positive for COVID-19, as well as potential outcomes including disease severity and hospitalization, will be paramount in effectively managing our resources and triaging care,” said Lara Jehi, Cleveland Clinic’s Chief Research Information Officer and corresponding author of the study. “As we continue to battle this pandemic and prepare for a potential second wave, understanding a person’s risk is the first step in potential care and treatment planning.”


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