The Intermountain Chronic Disease Risk Score predicts patient risk for developing chronic diseases like diabetes, kidney failure, coronary artery disease, peripheral vascular disease, stroke and dementia.
In a study of more than 144,000 patients, the ICHRON prediction model was about 78 percent accurate in identifying patients who would be diagnosed with a chronic disease within three years. Seven percent of women and nine percent of men were diagnosed with at least one chronic disease in this timeframe.
“Our goal was to create a clinical tool that can be used to help identify patients who are at a higher risk for a chronic disease diagnosis and therefore need more personalized care,” said Heidi May, PhD, a cardiovascular epidemiologist and lead author of the study. “For example, if the patient received a high ICHRON score, the clinician could plan to see the patient more frequently or be more aggressive with treatments.”
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