Type 2 & other diabetes

Derivation and Validation of D-RISK: An Electronic Health Record–Driven Risk Score to Detect Undiagnosed Dysglycemia in Clinical Practice

Diabetes CarePublished Diagnostic accuracy study

Authors' conclusion

Designed for use in EHR, D-RISK performs better than commonly used screening guidelines and risk scores and may help detect undiagnosed cases of dysglycemia in clinical practice.

Study context

Population
Patients in clinical practice screened for undiagnosed dysglycemia (prediabetes plus diabetes; HbA1c ≥5.7%); derivation cohort mean age 48 years, 65% female, 42% Hispanic, 32% non-Hispanic Black, mean BMI 32, 29% with hypertensionvalidation n = 519
Participants
11,387 patients
Comparison
D-RISK vs American Diabetes Association (ADA) risk test, ADA and United States Preventive Services Task Force (USPSTF) screening guidelines
Outcome
Discrimination (AUC), sensitivity and specificity for dysglycemia (HbA1c ≥5.7%)
Methodological detailsderivation and validation, retrospective electronic health record (EHR) derivation sample, prospective screening validation sample, logistic regression with backward selection, points-based risk score
  • Derivation and validation
  • Retrospective EHR derivation sample
  • Prospective screening validation sample
  • Logistic regression with backward selection
  • Points-based risk score

Performance

As reported in the abstract

AUC for dysglycemia, validation screening study
Test or modelValueAUCSensitivity
D-RISK0.71 (95% CI 0.66–0.75)0.7175%
ADA risk test0.670.6761%
ADA guidelines0.520.52
USPSTF guidelines0.580.58

Value

D-RISK0.71 (95% CI 0.66–0.75)
ADA risk test0.67
ADA guidelines0.52
USPSTF guidelines0.58

AUC

D-RISK0.71
ADA risk test0.67
ADA guidelines0.52
USPSTF guidelines0.58

Sensitivity

D-RISK75%
ADA risk test61%
ADA guidelines— not stated in the abstract
USPSTF guidelines— not stated in the abstract
  • D-RISK vs ADA guidelines: P < 0.001 — D-RISK better
  • D-RISK vs USPSTF guidelines: P < 0.001 — D-RISK better

Further findings

OutcomeD-RISK
AUC of risk score, derivation cohort
AUC0.75

Original publication

Derivation and Validation of D-RISK: An Electronic Health Record–Driven Risk Score to Detect Undiagnosed Dysglycemia in Clinical Practice. Diabetes Care. Published 17 January 2025. doi:10.2337/dc24-1624

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