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6027 Background: In this study we develop post-treatment imaging surveillance schedules for locally advanced oropharyngeal carcinoma (OPC) specific to the unique recurrence patterns of tumor stage and HPV status, using mathematical models. Current post-treatment imaging surveillance recommendations for OPC are not evidence based. The exception is the use of a positron emission tomography (PET) scan at 3 months post-treatment, after which practice across institutions diverge. An optimized and personalized surveillance schedule for OPC patients can minimize costs and diagnostic delays. Methods: A Markov multi-state model defining local and distant recurrences was trained using 2159 patients from the National Cancer Database. Patients from 2010-2015 treated at an academic or major cancer center with curative radiotherapy were included. Tumors must have been stage III to IVB (AJCC 7th edition) with known p16/HPV status. Model performance was then successfully externally validated using the 2016 International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S) study. Optimized radiographic surveillance schedules were created using this model, assuming a PET at month 3 and including 0 to 6 additional computed tomography (CT) scans of the neck and chest. Optimization was done for minimization of latency, defined as time between disease recurrence and radiographic discovery. Results: Model-selected schedules varied significantly from commonly utilized-surveillance schedules (such as imaging every 3 months within the first year from treatment) and showed lower mean diagnostic latency for every stage and HPV status (shown in Table). In the lowest risk cohort (Stage III HPV+), the optimized schedule had a sensitivity of 65% and latency of 3.1 months. In the highest risk group (Stage IVB HPV-), the optimized schedule had a sensitivity of 76% and latency of 1.9 months. Conclusions: Mathematical model optimization for HPV status and stage is feasible and produces non-intuitive results. These results could be used to inform surveillance if payors reimburse for fewer total scans. Across all cohorts, each added CT scan increases surveillance sensitivity and decreases latency. Incorporation of physical exam and direct visualization results into the model are still needed. Future steps include cost effectiveness research and prospective clinical trials.[Table: see text]

Objective: We examined how diabetes medication initiation after first diagnosis varied by race/ethnicity. Method: We conducted a retrospective cohort study of 66,939 patients with newly diagnosed diabetes using data from a large integrated healthcare system. We classified patients into 12 race/ethnicity groups (see Table) and assessed their associations with diabetes medication initiation within 1, 12 and 18 months after diagnosis. We used a modified Poisson regression to estimate risk ratios adjusted for pre-diagnosis demographics and clinical characteristics. Results: Medications were started in 30%, 43% and 48% of patients within 1, 12 and 18 months, respectively. Within 1 month of diagnosis, Chinese, Filipino, and Native Hawaiian/Pacific islander were less likely to initiate a medication compared to whites. Results were consistent at 12 and 18 months, except that Japanese and blacks/African Americans were less likely to initiate compared to whites and that there was no difference between Native Hawaiian/Pacific islanders and whites at 18 months. Conclusions: We observed persistent racial differences between patients receiving any medication following initial diabetes diagnosis, with the largest differences for several Asian populations. Disclosure A.N. Winn: None. A.J. Karter: Research Support; Self; Dexcom, Inc. E.M. Staab: None. J. Liu: None. W. Wan: None. R. Skandari: None. A.C. Knitter: None. H.H. Moffet: None. D.R. Miller: None. M.E. Peek: Research Support; Self; Merck Foundation. E. Huang: None. N. Laiteerapong: None.

Background: Several large randomized trials suggest GLP-1RAs may reduce mortality in addition to lowering A1c in patients with T2D. Treatment algorithms from the ADA/EASD now recommend a GLP-1RA be initiated in patients with T2D who either have or are at high risk of atherosclerotic cardiovascular (CV) disease, regardless of A1c level. To better quantify the efficacy and safety of GLP-1RAs, we conducted a systematic review and meta-analysis of all randomized trials of this drug class. Methods: We searched PubMed and Scopus (inception to June 2019) for randomized trials of at least 52 weeks duration enrolling adults with T2D that compared GLP-1RAs with placebo. Outcomes included microvascular/macrovascular complications, mortality, change in cardiovascular risk factors, and adverse events. Continuous outcomes were calculated with standardized mean differences, and binary outcomes were calculated using odds ratios. Pooled analyses were performed with fixed and random effects models. Heterogeneity was assessed using the I2 statistic. Results: See Table for results. Conclusions: Patients with T2D who received GLP-1RAs when compared to placebo had a significantly lower rate of major adverse CV events and A1c. These findings support the current ADA/EASD treatment recommendations. Subsequent cost effectiveness analyses will help further inform healthcare policy decisions. Disclosure J. Alexander: None. E.M. Staab: None. W. Wan: None. M. Franco: None. A.C. Knitter: None. C.C. Thomas: None. V.G. Press: Consultant; Self; Humana, Vizient Inc. M. Zeytinoglu: None. R. Skandari: None. K.E. Gunter: None. B. Bindon: None. S. Jumani: None. S.D. Bolen: None. N.M. Maruthur: Other Relationship; Self; Johns Hopkins HealthCare Solutions. E. Huang: None. L.H. Philipson: None. N. Laiteerapong: None. Funding American Diabetes Association (1-18-JDF-037 to N.L.); National Institutes of Health (P30DK092949)

Background: Several large randomized trials suggest SGLT2Is may reduce mortality in addition to lowering A1c in patients with T2D. Treatment algorithms from the ADA and EASD now recommend a SGLT2I be initiated in patients with T2D who have chronic kidney disease or heart failure, regardless of A1c level. To better quantify the efficacy and safety of SGLT2Is, we conducted a systematic review and meta-analysis of all randomized trials of this drug class. Methods: We searched PubMed and Scopus (inception to June 2019) for randomized trials of at least 52 weeks duration enrolling adults with T2D that compared SGLT2Is with placebo. Outcomes included microvascular/macrovascular complications, mortality, change in cardiovascular (CV) risk factors, and adverse events. Continuous outcomes were calculated with standardized mean differences, and binary outcomes were calculated using odds ratios. Pooled analyses were performed with fixed and random effects models. Heterogeneity was assessed with the I2 statistic. Results: See Table for results. Conclusions: Patients who received SGLT2Is when compared to placebo had significantly lower rates of heart failure and A1c. These findings support the current ADA/EASD treatment recommendations. Subsequent cost effectiveness analyses will help further inform healthcare policy decisions. Disclosure J. Alexander: None. E.M. Staab: None. W. Wan: None. M. Franco: None. A.C. Knitter: None. C.C. Thomas: None. V.G. Press: Consultant; Self; Humana, Vizient Inc. M. Zeytinoglu: None. R. Skandari: None. K.E. Gunter: None. B. Bindon: None. S. Jumani: None. S.D. Bolen: None. N.M. Maruthur: Other Relationship; Self; Johns Hopkins HealthCare Solutions. E. Huang: None. L.H. Philipson: None. N. Laiteerapong: None. Funding American Diabetes Association (1-18-JDF-037 to N.L.); National Institutes of Health (P30DK092949)