Doctor of Philosophy, Case Western Reserve University, 2019, Clinical Research
Precision medicine, a cutting-edge approach aimed to optimize patient outcomes is considered the future of medicine. A substantial gap towards its widespread use is created by scattered, heterogeneous datasets and lack of standardized methodology to extract data from the electronic health record (EHR). Herein, psoriasis, a chronic inflammatory disease with numerous comorbidities and significant impact on quality of life, is used as a prototypical disease to demonstrate one way of overcoming these barriers.
The U.S. healthcare system is changing towards emphasizing quality of care. The American Academy of Dermatology (AAD) is constructing various dermatology-specific quality of care measures. These measures were applied to Encite, a dermatology-specific EHR. While there were several challenges to extracting data from the EHR, arguably the largest challenge faced is the provider adherence to recording these proposed quality of care measures.
Psoriasis is associated with an increased risk for major adverse cardiac events (MACE; i.e., myocardial infarction (MI), atrial fibrillation (AF), and chronic heart failure (CHF)). Red cell distribution width (RDW) and mean platelet volume (MPV) are readily available clinical tests, and postulated markers for MACE. To examine the association between psoriasis and RDW, MPV and MACE, the aggregate electronic database Explorys was used. The prevalence of MI, AF, and CHF was highest among patients with both elevated RDW and MPV, followed by patients with high RDW and normal MPV. RDW elevation among psoriatic arthritis (PsA) patients was associated with greater odds of MI, AF, and CHF. Potentially, RDW and MPV testing is a cost-effective measure for identifying psoriasis and PsA patients at increased risk of MACE.
Furthermore, in a local cohort, the majority of patients with high RDW also had elevated circulating resistin. Among a small patient subset with elevated RDW at baseline, who were followed for a year, response to therap (open full item for complete abstract)
Committee: Douglas Einstadter (Committee Chair); Kevin Cooper (Advisor); Wilma Bergfeld (Committee Member); Dana Crawford (Committee Member); Siran Koroukian (Committee Member)
Subjects: Bioinformatics; Biostatistics; Epidemiology; Health Care; Medicine