Adaptation of the Glucocorticoid Toxicity Index-Metabolic Domains to Electronic Health Records to Evaluate Steroid Toxicity in Adults with Myasthenia Gravis in the United States

Author(s)

Phillips G1, Stone JH2, Qi CZ1, Stone M3, Gelinas D1, Chamberas A3, Amirthaganesan D4, Kulkarni R5, Whangbo A6
1Argenx US Inc., Boston, MA, USA, 2Harvard Medical School, Boston, MA, USA, 3Steritas, Concord, MA, USA, 4ZS Associates, Haryana, India, 5ZS Associates, Bethesda, MD, USA, 6ZS Associates, Durham, NC, USA

OBJECTIVES: While adverse effects are associated with steroids, quantifying steroid toxicity is challenging. Evidence can be expanded by adapting the Glucocorticoid Toxicity Index (GTI) algorithm, used primarily in clinical trials, to retrospective datasets. The objective of this study was to quantify steroid toxicity in myasthenia gravis (MG) with GTI-Metabolic Domains (GTI-MD) using electronic health records.

METHODS: Using US-based Optum® de-identified Electronic Health Record data set (Optum® EHR) (Jan 2013-Dec 2022), adults with MG (≥2 MG diagnoses ≥30-≤730 days apart between Jan 2014 and Sep 2021) were identified. Index dates were defined as first steroid for steroid initiators (MG-SI) and assigned by age/gender-matched counterpart in MG-SI for steroid-naïve patients (MG-SN). Patients having lab values for main criteria required for GTI-MD (body mass index, blood pressure, glucose levels, lipid levels) within a 14-day period during both the baseline (1 year pre-index) and follow-up period (1-year post-90-day steroid exposure period post-index) and fulfilling other GTI-MD criteria were included. Baseline characteristics including age (at index) and Charlson Comorbidity Index (CCI, 1-year pre-index) were assessed. GTI-MD scores (Aggregate Improvement Score [AIS] and Cumulative Worsening Score [CWS], higher scores represent higher toxicity) were evaluated at first set of labs in follow-up.

RESULTS: Overall, 27,157 patients with MG were identified in the study period. After applying all criteria, 377 MG-SI and 305 MG-SN patients were identified as eligible for GTI-MD analysis. The mean (SD) age was 68.7 (10.3) and 71.5 (9.0) years, and CCI (SD) was 2.6 (2.2) and 2.2 (1.9), respectively, for MG-SI and MG-SN cohorts. GTI-MD (SD) scores were higher in MG-SI versus MG-SN (AIS: 4.9 [34.5] vs. 1.9 [34.3], p=0.27; CWS: 22.6 [22.8] vs. 18.7 [21.2], p=0.023).

CONCLUSIONS: Our results suggest that steroid toxicity in patients with MG is quantifiable by applying GTI-MD to retrospective data. Future studies can evaluate steroid toxicity using GTI-MD in various therapy areas.

Conference/Value in Health Info

2024-05, ISPOR 2024, Atlanta, GA, USA

Value in Health, Volume 27, Issue 6, S1 (June 2024)

Code

SA17

Topic

Clinical Outcomes, Epidemiology & Public Health, Patient-Centered Research, Study Approaches

Topic Subcategory

Clinical Outcomes Assessment, Electronic Medical & Health Records, Instrument Development, Validation, & Translation, Safety & Pharmacoepidemiology

Disease

Drugs, Neurological Disorders, Rare & Orphan Diseases, Systemic Disorders/Conditions (Anesthesia, Auto-Immune Disorders (n.e.c.), Hematological Disorders (non-oncologic), Pain)

Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×