USE OF ELECTRONIC HEALTH RECORDS TO CHARACTERIZE A RARE DISEASE IN THE U.S.: TREATMENT, COMORBIDITIES, AND FOLLOW-UP...

Understanding of acromegaly disease management is hampered in the U.S. by the lack of a national registry. We describe medical management in a population with confirmed acromegaly.

Inpatient and outpatient electronic health records (EHRs) were used to create a database of de-identified patients assigned the Acromegaly and Gigantism International Classification of Diseases, 9^th revision (ICD-9) code and/or an appropriate pituitary procedure code at 1 of 4 regional hospital systems over a 6- to 11-year period. Information regarding demographics, medical history, labs, procedures, and medications was collected and supplemented with a chart review to validate the diagnosis of acromegaly.

Of 367 patients with validated acromegaly, available records showed that during the years studied, pituitary surgery was performed on 31%, 4% received radiosurgery, and 22% were prescribed a drug indicated for acromegaly. Insulin-like growth factor-1 (IGF-1) levels were measured in 62% of patients, 83% of whom had at least 1 normal value. Coded comorbidities reflect those reported previously in patients with acromegaly, with the exception of esophageal reflux in 20% of patient records. Fewer data regarding acromegaly-specific medications and testing were available for patients aged 65 and older.

AcroMEDIC is a U.S. multisite retrospective study of acromegaly that captured medical management in the majority of patients included in the cohort. Chart review highlighted the importance of verification of coded diagnoses. Most of the acromegaly-related comorbidities identified here are known to increase with age and obesity. Patients ≥65 appeared to have less active management/monitoring of their disease. Medical attention should be directed to this population to address evolving needs over time.

AcroMEDIC = Acromegaly Multisite Electronic Data Innovative Consortium; BMI = body mass index; CCI = Charlson Comorbidity Index; EHR = electronic health record; GH = growth hormone; GHRA = growth hormone receptor antagonist; ICD-9 = International Classification of Diseases, 9^th revision; IGF-1 = insulin-like growth factor-1; SSA = somatostatin analogue.