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Varghese, Ben

https://orcid.org/0000-0002-4704-6183

Mayo Clinic

Ascension

Citations 3

Algorithm to Identify Type 2 Diabetes Using Electronic Health Record and Self-Reported Data
Varghese, Ben , Girardo, Marlene , Gupta, Ruchi , Duellman, Madison, Egan, Aoife M. , Vella, Adrian , Bailey, Kent R. , Varghese, Ben T , Egan, A M , Vella, Adrian , Dugani, Sagar B , Gupta, Ruchi, Fischer, Karen M. , Mielke, Michelle M. , Olson, Janet E. , Dugani, Sagar B.

Metabolic Syndrome and Related Disorders | April 7, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1089/met.2024.0133 Get It

Abstract 4135352: Neighborhood-level Determinants and Disparities in Incident Type 2 Diabetes in a Population-Based Cohort, 2015–2020
Varghese, Ben , Gupta, Ruchi , Bailey, Kent, Fischer, Karen M. , Gupta, Ruchi, Mielke, Michelle M. , Vella, Adrian , Chamberlain, Alanna M. , Sauver, Jennifer L. St. , Bailey, Kent, Dugani, Sagar B.

Circulation | November 13, 2024 | Volume: 150 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.150.suppl_1.4135352 Get It

Introduction: Living in an area with high Area Deprivation Index (ADI) is linked to worse cardiovascular disease (CVD) outcomes. However, the association of ADI with type 2 diabetes (T2D), a major CVD risk factor, is incompletely described. This knowledge may guide primary CVD prevention. Method: Rochester Epidemiology Project is a medical record linkage system of persons in southeast Minnesota and southwest Wisconsin. We identified 253,890 persons (aged 4–98 yrs on July 1, 2015) in 9 counties with >90% population coverage. ADI scores, from 2015 home addresses, were grouped into quartiles of low (Q1) to high (Q4) deprivation. We excluded persons with type 1 diabetes (T1D) or history of T2D and identified new T2D cases (2015-2020) using ICD codes, HbA1c and medications. We examined the association between ADI quartile and risk of incident T2D using Cox regression with persons right censored at death, T2D, T1D or last visit. Models were adjusted for age and gender, and reported adjusted hazard ratios (aHR [95% confidence interval]). Results: Age, gender, and race statistically differed across ADI quartiles (Table). Age × ADI interaction was significant ( P <.001). T2D incidence ranged from 6.3 (Q1) to 9.0 (Q4) per 1000 person-years ( P <.001). Women vs. men/non-binary persons (combined due to limited non-binary persons) had 30% lower risk of incident T2D (aHR 0.70 [0.67–0.72]). Risk of incident T2D was higher in persons from higher ADI areas. At median age of 48.6 yrs, the risk was 30% higher in Q2 (aHR 1.3 [1.22–1.38]), 38% higher in Q3 (aHR 1.38 [1.30–1.47]) and 53% higher in Q4 (aHR 1.53 [1.43–1.62]) vs. Q1. Higher ADI was associated with higher incident T2D in younger persons, with risk attenuation with increasing age (Figure). Conclusion: In this population cohort, persons, particularly of younger age, living in more deprived areas had a higher risk of incident T2D. ADI may help identify areas for targeted T2D screening, with implications for CVD screening and prevention.
Abstract P432: Validation and Optimization of the American Diabetes Association Score for Undiagnosed Type 2 Diabetes Risk in Hispanic or Latino Adults
Varghese, Ben , Girardo, Marlene , Filippis, Eleanna De , Bailey, Kent R. , Vella, Adrian , Dugani, Sagar B.

Circulation | May 16, 2024 | Volume: 149 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.149.suppl_1.p432 Get It

Background: The prevalence of type 2 diabetes (T2D) is increasing in Hispanic or Latino adults. The American Diabetes Association (ADA) score to identify current risk of T2D was developed with limited Hispanic or Latino representation. Therefore, we sought to validate the ADA score in a cohort of Hispanic or Latino adults. Methods: At enrollment in the Sangre Por Salud Biobank, 3,625 Hispanic or Latino adults from Phoenix, Arizona completed a baseline questionnaire. Current risk of undiagnosed T2D was based on non-laboratory risk factors and ADA score ≥5 (Table). Participants also completed T2D screening (ie, fasting glucose, 2-hour oral glucose tolerance test, and/or hemoglobin A1c). Undiagnosed T2D was based on 'no self-reported T2D but meeting T2D diagnostic’ criteria. Multivariable logistic regression analyzed associations of ADA risk factors and undiagnosed T2D, and model performance was based on sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: At enrollment, 7.3% of participants had undiagnosed T2D (n=265/3,625). In multivariable analysis, most risk factors described for the ADA score were significantly associated with T2D, except for sex, which showed no association. ADA score ≥5 had sensitivity 50%, specificity 79%, PPV 18%, and NPV 95%. However, ADA score ≥4 had sensitivity 72%, specificity 61%, PPV 14%, and NPV 96%. ADA score ≥4 vs ≥5 identified 22% (n=59) additional cases of undiagnosed T2D. Furthermore, using the revised definition for elevated blood pressure (>120/80 mmHg) vs ≥140/90 mmHg (current ADA score) further improved the ADA score ≥4 (sensitivity 81%; specificity 52%). Other scores had lower performance using both hypertension definitions. Conclusion: In Hispanic or Latino adults, a lower ADA score than currently recommended identified additional cases of undiagnosed T2D. The ADA score requires validation and recalibration, including for the updated hypertension guidelines.