Golafshar, Michael

Hepatic artery stenosis after liver transplant is often treated with endovascular stent placement. Our institution has adopted use of drug-eluting stents, particularly in small-caliber arteries. We aimed to compare patency rates of drug-eluting stents vs. traditional bare-metal stents. This was a single-institution, retrospective study of liver transplant hepatic artery stenosis treated with stents. Primary patency was defined as time from stent placement to resistive index on Doppler ultrasonography (<0.5), hepatic artery thrombosis, or any intervention including surgery. Fifty-two patients were treated with stents (31 men; mean age, 57 years): 15, drug-eluting stents; 37, bare-metal stents. Mean arterial diameters were 4.1 mm and 5.1 mm, respectively. Technical success was 100% (52/52). At 6 months, 1, 2, and 3 years, primary patency for drug-eluting stents was 80%, 71%, 71%, and 71%; bare-metal stents: 76%, 65%, 53%, and 46% (p = 0.41). Primary patency for small-caliber arteries (3.5–4.5 mm) with drug-eluting stents was 93%, 75%, 75%, and 75%; bare-metal stents: 60%, 60%, 50%, and 38% (p = 0.19). Overall survival was 100%, 100%, 94%, and 91%. Graft survival was 100%, 98%, 96%, and 90%. Stenting for hepatic artery stenosis was safe and effective. While not statistically significant, patency improved with drug-eluting stents compared with bare-metal stents, especially in arteries < 4.5 mm in diameter. Drug-eluting stents can be considered for liver transplant hepatic artery stenosis, particularly in small-caliber arteries.

e24114 Background: Pharmacogenomics (PGx) testing is used increasingly in cancer supportive care for drug and dose selection, and side effects prediction with antidepressants, antiemetics, and pain medications. Genetic variants in genes that encode for drug metabolizing enzymes (CYPs), transporters (SLC6A4) and drug receptors (HTR2A, OPRM1, etc) are well known for these medications. They contribute to inter-individual differences in medication safety and efficacy. We report on their frequency and effect on supportive care drugs in patients with solid tumors. Methods: Between 06/06/19 and 12/18/19, solid tumor cancer patients at Mayo Clinic Arizona were enrolled in a PGx prospective study. They were genotyped using a multi-gene panel, OneOme RightMed. The panel assessed 27 genes, including CYP2C9, CYP2C19, CYP2D6, CYP3A4, COMT, OPRM1, GRIK4, HTR2A, SLC6A4, associated with pain medications, antidepressants, and antiemetics. PGx pharmacist provided medication recommendations and dose adjustments based on PGx test results and concurrent medications. Results: 200 patients were swabbed and 196 patients were genotyped. The results were available within 5 days. All patients were also assessed for pheno-conversion (drug-drug-gene interactions) by a pharmacist. Recommendations were made based on predicted phenotype. Various solid tumor types were represented, including prostate (19.9%), colorectal (17.9%), melanoma (14.8%), and others (47.4%). Median age was 65 with 59.2% patients being male and 40.85% female. All had at least one actionable polymorphism related to these medications. The most significant findings were related to CYP2C19 and CYP2D6 genes. Of 196 patients, a total of 132 (67.3%) had other than normal CYP2D6 metabolizer phenotype and 112 (57.1%) had other than normal CYP2C19 metabolizer phenotype. Based on these genotypes, alternatives to pain medications were recommended for 37 patients, to ondansetron in 9 patients, and to anti-depressants in 51 patients. Conclusions: Genetic variants were commonly found that affect supportive care medications used in oncology practice and contribute to inter-individual differences associated with increased risk of adverse drug effects and reduced efficacy. PGx guided recommendation may help physicians in individualizing medication treatment outcomes for patients with different cancer types and with polypharmacy. PGx trained pharmacist can serve as a valuable asset in optimizing personalized medication management.

e13617 Background: Breast cancer (BC) is the most prevalent cancer of women in the United States (US). The incidence rates for BC among American Indian and Alaska Native (AI/AN) women vary across the US. A novel application of Bayesian disease mapping was applied to quantify potential inequities in 10-year BC incidence in New Mexico (NM) in order to better inform health equity initiatives within the AI/AN at-risk population. Methods: Surveillance, Epidemiology, and End Results Program (SEER) data from 2005 to 2014 were used to identify new cases of BC within the 33 counties in NM. Initially, a Poisson-gamma model was applied to quantify the reduction in risk of BC within the at-risk AI/AN population compared with the general at-risk population. To account for spatial variation and to address the small area estimation problem inherent in these data by borrowing strength globally and locally in NM, we applied Bayesian disease mapping to the counts of county-level BC cases. We quantified the disparity effect, as measured by the rate ratio (95% credible interval [CI]), comparing the incidence of BC between at-risk AI/AN and non-AI/AN women, and assessed if the rate ratio differed between counties. Markov chain Monte Carlo sampling was used to estimate posterior quantities and the deviance information criterion was used for model selection. Results: In 2010, 1,041,758 women were at-risk for BC of which 107,656 (10.3%) were AI/AN women. During the 10-year study period, 12,974 new BC cases were recorded in the general at-risk population. In the at-risk AI/AN population, the expected number of new cases during the 10-year study period, therefore, was 1,340.74; however, 597 incidence cases of BC were diagnosed in the at-risk AI/AN population resulting in a posterior mean for the true relative risk of 0.445 (95% CI: 0.410, 0.482). Based on the selected model that accounted for over dispersion and spatial correlation among the 33 counties, the posterior mean of the overall adjusted rate ratio was 0.405 (95% CI: 0.336, 0.478). The adjusted rate of BC in AI/AN women was 0.40 times the corresponding adjusted rate for women who were non-AI/AN. Further, the adjusted rate ratios were similar for each county. Conclusions: The novel application of Bayesian disease mapping to these data provided substantial evidence of a significant overall disparity effect in BC incidence within NM between at-risk AI/AN and non-AI/AN women, which was more marked than previous reports. Targeted state-wide health equity initiatives may lead to reducing disparities in BC incidence in AI/AN at-risk women.

Objectives: To report long-term outcomes of nonmelanoma skin cancer (NMSC) in immunosuppressed cardiac and liver transplant recipients (CLTR). Materials and Methods: The authors reviewed CLTR at the Mayo Clinic in Arizona from 1986 to 2013. Patient and tumor characteristics were recorded. Survival rates were calculated using the Kaplan-Meier method. Patient-specific and lesion-specific analyses were performed. Univariate and multivariate cox regressions were performed for comparisons. Results: Seven-hundred and forty-seven patients underwent cardiac (138) or liver (609) transplantation and of these, 97 patients (13%) developed 382 invasive NMSC. The median follow-up was 11 (range, 3 to 27) years for surviving patients. Primary treatment was mainly surgery alone. At 10 years, the local recurrence (LR) rate was 20% (95% confidence interval, 15%-28%), and 14% of patients had multiple LRs. At 10 years, LR rates were higher for T3/T4 tumors when compared with T1/T2 tumors (32.5% vs. 20%, P=0.05). At 10 years, overall survival was 79% (95% confidence interval, 64%-88%). On multivariate analysis, age 61 years and more demonstrated inferior overall survival (P<0.01). Conclusions: This is the first study describing the AJCC 8th edition stage-based patterns of recurrence and long-term outcomes of surgically managed NMSC in a large cohort of immunosuppressed CLTRs. T3 and T4 tumors recur more often than early stage tumors. Further study is required to identify factors related to recurrence and guide upfront treatment intensification in this high-risk population.

Background The King-Devick test is a timed rapid number naming task that involves complex cerebral functions. The objective of this pilot exploratory study is to determine whether there is a difference in the King-Devick test during a migraine attack compared to the interictal phase. Methods We evaluated 29 adult subjects with migraine with aura or migraine without aura. For each participant, we performed King-Devick tests during migraine attacks and interictal phases. Subjects served as their own controls. Results The King-Devick test was slower during the migraine attack compared to the interictal baseline (median 4.6 sec slower, p < 0.001). The slowing of the King-Devick test during migraine attack was more prominent in those with migraine with aura compared to subjects with migraine without aura (median 7.5 vs. 2.8 sec, p = 0.028). Conclusions This exploratory, observational study shows changes in the King-Devick test during migraine compared to the interictal phase. Future studies are required to determine if the King-Devick test may be used as a rapid and simple tool to objectively characterize migraine-associated disability.

AbstractIntroductionMyocardial infarction (MI) is associated with an increase in subsequent heart failure (HF), recurrent ischemic events, sudden cardiac arrest, and ventricular arrhythmias (SCA‐VA). The primary objective of the study to determine the role of intercurrent HF and ischemic events on the development of SCA‐VA following first type I MI.Methods and resultsA retrospective cohort study of patients experiencing first type 1 MI in Olmsted County, Minnesota (2002‐2012) was conducted by identifying patients using the medical records linkage system (Rochester epidemiology project). Patients aged ≥18 years were followed from the time of MI till death or 31 July, 2017. Intercurrent HF and ischemic events were the primary exposures following MI and their association with outcome SCA‐VA was assessed. Eight hundred and sixty‐seven patients (mean age was 63 ± 14.5 years; 69% male; 49.8% ST‐elevation myocardial infarction) who had their first type I MI during the study period were included. Majority of acute MI patients were revascularized using percutaneous coronary intervention and bypass surgery (628 [72.43%] and 87 [10.03%] respectively). During a mean follow‐up of 7.69 ± 4.17 years, HF, recurrent ischemic events and SCA‐VA occurred in 155 (17.9%), 245 (28.3%), and 40 (4.61%) patients respectively. Low ejection fraction (adjusted hazard ratio [HR] 0.95; 95% confidence interval [CI], 0.93‐0.98; P < .001), intercurrent HF (adjusted HR 3.11; 95% CI, 1.39‐6.95; P = .006) and recurrent ischemic events (adjusted HR 3.47; 95% CI, 1.68‐7.18; P < .001) were associated with subsequent SCA‐VA.ConclusionSCA‐VA occurred in a small proportion of patients after MI and is associated with intercurrent HF and recurrent ischemic events.

Abstract Background and study aims Precise staging in T1 esophageal adenocarcinoma (EAC) is critical in determining candidacy for curative endoscopic resection. High-frequency endoscopic ultrasound (EUS) has demonstrated suboptimal accuracy in T1 EAC staging due to insufficient spatial resolution. Volumetric laser endomicroscopy (VLE) allows for high-resolution wide-field visualization of the esophageal microstructure. We aimed to investigate the role of VLE in staging T1 EAC. Patients and methods Patients undergoing endoscopic mucosal resection (EMR) were prospectively enrolled and only T1 EAC cases were included. EMR specimens were imaged using second-generation VLE immediately after resection. VLE images were analyzed for signal intensity by depth and signal attenuation (dB/mm) in both cross-sectional and en-face orientation. A decision tree model was constructed to combine measured VLE parameters and delineate diagnostic thresholds. Results Thirty EMR scans were obtained – 15 T1a specimens from 9 patients and 15 T1b specimens from 11 patients. T1b specimen VLE scans exhibited higher signal intensity (P < 0.0001) and higher signal attenuation compared to T1a specimens (P = 0.03). A combination of signal attenuation and signal intensity at 150 µm depth yielded optimal diagnostic thresholds and an area under the curve (AUC) of 0.77. VLE signal attenuation was significantly associated with grade of differentiation, irrespective of EAC stage. Conclusions VLE signal intensity and signal attenuation are quantitatively distinct in T1a and T1b EAC and associated with grade of differentiation. This is the first study examining the role of VLE for staging of T1 EAC and demonstrates promising diagnostic performance. With further in vivo validation, VLE may serve a role in staging superficial EAC.

AbstractIntroductionLittle empirical work has been done to examine differences between mild cognitive impairment (MCI) diagnosed in research settings with longitudinal data (incident MCI) and MCI diagnosed in clinical settings (prevalent MCI). Because Alzheimer's disease progresses over a clinicopathological continuum, we examined the cognitive differences between these two different sources of MCI patients.MethodsWe compared 52 consecutively identified patients with prevalent amnestic MCI with 53 incident amnestic MCI participants from the Arizona APOE study. Neuropsychological data from common tests were compared encompassing four cognitive domains and one global indicator.ResultsPrevalent MCI cases performed significantly worse than incident MCI cases on global as well as domain‐specific measures.DiscussionBy the time patients seek evaluation for memory loss, they have more severe single domain, amnestic MCI than research subjects with incident MCI. Studies of MCI should distinguish incident and prevalent not just single‐ and multiple‐domain MCI.