Findings based on use of electronic health record data to inform the Pediatric Asthma Risk Score<\/p>\n<\/h3>\n
By Lori Solomon HealthDay Reporter<\/b>
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TUESDAY, June 17, 2025 (HealthDay News) — It is feasible to use electronic health record (EHR) data in the Pediatric Asthma Risk Score (PARS) to accurately predict childhood asthma risk, according to a study published in the June issue of eClinicalMedicine<\/em>.<\/p>\n Arthur Hamie Owora, Ph.D., M.P.H., from the Indiana University School of Medicine in Indianapolis, and colleagues sought to externally validate and update the PARS as a passive digital marker (PDM) for asthma risk. The analysis included data from 69,109 children born between 2010 and 2017, of whom 5,290 (7.65 percent) had a confirmed asthma diagnosis after age 4 years.<\/p>\n The researchers found that the PDM had a higher prognostic accuracy (area under the curve [AUC], 0.79; sensitivity, 0.71; and specificity, 0.74) than the EHR-based PARS (AUC, 0.76; sensitivity, 0.74; and specificity, 0.68) for early case detection. Satisfactory calibration was seen for both the PDM and EHR-based PARS. Among children identified as high-risk at age 3 years, the incidence of asthma was higher with the PDM versus the EHR-based PARS (37 versus 26 percent).<\/p>\n “Our hope is that using the childhood asthma passive digital marker in clinical practice will improve the early detection of asthma risk in high-risk children, allowing for earlier interventions that could improve asthma control and lessen the future risk of hospitalization,” Owora said in a statement.<\/p>\n