Optimizing identification of resistant hypertension: Computable phenotype development and validation.

PURPOSE: Computable phenotypes are constructed to utilize data within the electronic health record (EHR) to identify patients with specific characteristics; a necessary step for researching a complex disease state. We developed computable phenotypes for resistant hypertension (RHTN) and stable controlled hypertension (HTN) based on the National Patient-Centered Clinical Research Network (PCORnet) common data model (CDM). The computable phenotypes were validated through manual chart review. METHODS: We adapted and refined existing computable phenotype algorithms for RHTN and stable controlled HTN to the PCORnet CDM in an adult HTN population from the OneFlorida Clinical Research Consortium (2015-2017). Two independent reviewers validated the computable phenotypes through manual chart review of 425 patient records. We assessed precision of our computable phenotypes through positive predictive value (PPV) and test validity through interrater reliability (IRR). RESULTS: Among the 156 730 HTN patients in our final dataset, the final computable phenotype algorithms identified 24 926 patients with RHTN and 19 100 with stable controlled HTN. The PPV for RHTN in patients randomly selected for validation of the final algorithm was 99.1% (n = 113, CI: 95.2%-99.9%). The PPV for stable controlled HTN in patients randomly selected for validation of the final algorithm was 96.5% (n = 113, CI: 91.2%-99.0%). IRR analysis revealed a raw percent agreement of 91% (152/167) with Cohen's kappa statistic = 0.87. CONCLUSIONS: We constructed and validated a RHTN computable phenotype algorithm and a stable controlled HTN computable phenotype algorithm. Both algorithms are based on the PCORnet CDM, allowing for future application to epidemiological and drug utilization based research.

Efficacy of a Standardized Premedication and Therapeutic Drug Monitoring Protocol for Pegaspargase to Prevent Hypersensitivity Reactions.

OBJECTIVE: The purpose of this study was to evaluate the efficacy of a standardized premedication and therapeutic drug monitoring (TDM) protocol to prevent hypersensitivity reactions from pegaspargase infusions. Pegaspargase is an essential therapeutic agent used for the treatment of acute lymphoblastic leukemia (ALL) in pediatric patients. METHODS: This study was a retrospective cohort study conducted at Wolfson Children's Hospital, Jacksonville, Florida, and included pediatric ALL patients 0 to 21 years old. Patients were excluded if they had not received the appropriate premedication after protocol implementation or had received premedication before protocol implementation. Patients were separated into 2 groups: those who received premedication before pegaspargase infusion and those who did not. The primary endpoint was the incidence of documented hypersensitivity reactions. Observational data endpoints included incidence of silent inactivation and cost savings from reducing complicated drug substitutions. RESULTS: A total of 38 patients (50 doses in no premedication group; 80 doses in premedication group) were evaluated. There was not a significant reduction in the incidence of hypersensitivity reactions for patients receiving premedication and TDM (5.3% vs 6.4%, p = 1.0). A trend towards patients reacting earlier with more severe reactions in the post-implementation group was observed. There were no incidences of silent inactivation. Observational cost analysis predicts potential drug cost savings of $106,550.45. CONCLUSIONS: A standardized premedication protocol did not reduce the incidence of hypersensitivity reactions. Premedication to prevent hypersensitivity reactions may provide a potential drug cost savings. Further investigation is warranted to assess the efficacy of a standardized premedication and TDM protocol to prevent hypersensitivity reactions.