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New model can help clinicians to predict 40-day mortality risk in hospitalized COVID-19 patients Researchers from Hackensack Meridian University Medical Center and Berry Consultants, LLC, Austin, Texas have developed a new model to help clinicians predict the risk of death within 40 days in patients who are hospitalized with COVID-19 infection. A new paper describing this retrospective, observational, multicenter cohort analysis, Development and validation of a prognostic 40-day mortality risk model among hospitalized patients with COVID-19, was recently published in PLOS ONE, a peer-reviewed, open-access scientific journal. The model considers six risk factors: age, respiratory and oxygenation rates, and preexisting conditions such as high blood pressure, coronary artery disease, or chronic kidney disease that play a role in COVID-19 deaths. Older age was determined to be the strongest predictor of death, according to health records of patients who were hospitalized with COVI

New jerseyUnited statesIhors sawczukStuart goldbergBrette lewisDonalda berryAndrew ipEmily hendersonDivision of outcomesValue researchHackensack meridian university medical centerUs centers for diseaseBerry consultantsHackensack meridian healthChief research officerJohn theurer cancer center