Diabetes medication regimens and patient clinical characteristics in the national patient-centered clinical research network, PCORnet.

We used electronic medical record (EMR) data in the National Patient-Centered Clinical Research Network (PCORnet) to characterize "real-world" prescription patterns of Type 2 diabetes (T2D) medications. We identified a retrospective cohort of 613,203 adult patients with T2D from 33 datamarts (median patient number: 12,711) from 2012 through 2017 using a validated computable phenotype. We characterized outpatient T2D prescriptions for each patient in the 90 days before and after cohort entry, as well as demographics, comorbidities, non-T2D prescriptions, and clinical and laboratory variables in the 730 days prior to cohort entry. Approximately half of the individuals in the cohort were females and 20% Black. Hypertension (60.3%) and hyperlipidemia (50.5%) were highly prevalent. Most patients were prescribed either a single T2D drug class (42.2%) or had no evidence of a T2D prescription in the EMR (42.4%). A smaller percentage was prescribed multiple T2D drug types (15.4%). Among patients prescribed a single T2D drug type, metformin was the most common (42.6%), followed by insulin (18.2%) and sulfonylureas (13.9%). Newer classes represented approximately 13% of single T2D drug type prescriptions (dipeptidyl peptidase-4 inhibitors [6.6%], glucagon-like peptide-1 receptor agonists [2.5%], thiazolidinediones [2.0%], and sodium-glucose cotransporter-2 inhibitors [1.6%]). Among patients prescribed multiple T2D drug types, the most common combination was metformin and sulfonylureas (63.5%). Metformin-based regimens were highly prevalent in PCORnet's T2D population, whereas newer agents were prescribed less frequently. PCORnet is a novel source for the potential conduct of observational studies among patients with T2D.

Evaluating Potential Racial Inequities in Low-dose Computed Tomography Screening for Lung Cancer.

BACKGROUND: Lung cancer is the leading cause of cancer death in the US, and significant racial disparities exist in lung cancer outcomes. For example, Black men experience higher lung cancer incidence and mortality rates than their White counterparts. New screening recommendations for low-dose computed tomography (LDCT) promote earlier detection of lung cancer in at-risk populations and can potentially help mitigate racial disparities in lung cancer mortality if administered equitably. Yet, little is known about the extent of racial differences in uptake of LDCT. OBJECTIVE: To evaluate potential racial disparities in LDCT screening in a large community-based cancer center in central North Carolina. METHODS: We conducted a retrospective study of the initial patients undergoing LDCT in a community-based cancer center (n = 262). We used the Pearson chi-squared test to assess potential racial disparities in LDCT screening. RESULTS: Study results suggest that Black patients may be less likely than White patients to receive LDCT screening when eligible (χ2 = 51.41, p < 0.0001). CONCLUSION: Collaboration among healthcare providers, researchers, and decision makers is needed to promote LDCT equity.