Over the last few years, it’s become clear that using a patient’s race as a variable in some predictive models – like those involving kidney function – leads to poorer outcomes. Meanwhile, removing that variable leads to improved prediction of patient risk, more prompt treatment, and presumably better outcomes. A new study shows that by taking the race variable “out of the equation” the predictive model fares worse. Should we consider race as a determinant of health?
