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THURSDAY, June 25, 2020 (HealthDay News) — It is possible to predict the likelihood of testing positive for COVID-19, according to a study published online June 10 in CHEST<\/i>.<\/p>\n
Lara Jehi, M.D., from the Cleveland Clinic, and colleagues developed a prospective registry of all patients tested for COVID-19 at the Cleveland Clinic to create individualized risk prediction models. A total of 11,672 patients were included in the development cohort, of whom 818 were positive for COVID-19, and 2,295 patients were included in the validation cohort, with 290 positive for COVID-19.<\/p>\n
The researchers found that the risk for being positive for COVID-19 was increased for males, African-Americans, older patients, and those with known COVID-19 exposure. Those who had a pneumococcal polysaccharide or influenza vaccine or were on melatonin, paroxetine, or carvedilol had a reduced risk. The model had favorable discrimination in the development and validation cohorts (C-statistic, 0.863 and 0.840, respectively) and calibration.<\/p>\n
“We provide an online risk calculator that can effectively identify individualized risk of a positive COVID-19 test,” the authors write. “Such a tool provides immediate benefit to our patients and health care providers as we face anticipated increased demand and limited resources, but does not obviate the critical need for adequate testing.”<\/p>\n
One author disclosed financial ties to the pharmaceutical industry.<\/p>\n
Abstract\/Full Text (subscription or payment may be required)<\/a><\/p>\n <\/i><\/p>\n